- Comp-neuro - lists.cnsorg.org

PhD position in Neurocomputational modeling of language processing

by Hartmut Fitz

A PhD position is available at the Max-Planck Institute for Psycholinguistics in Nijmegen, the Netherlands, within the 'Language in Interaction' consortium. The PhD candidate will participate in a team effort to understand the neurobiology underlying language processing by building computer models for sentence processing based on recurrent networks of spiking neurons. The goal is to develop a model with processing memory based on vector representations of words which are incrementally interpreted in terms of thematic roles ("who did what to whom"). A core objective will be to investigate the computational role of different neuronal models, connectivity types, neurobiologically motivated adaptation mechanisms, and different methods for calibrating the model's read-out units. Closing date: 30 September 2014 For more information see: https://www.languageininteraction.nl/jobs/phd-positions.html https://www.languageininteraction.nl/jobs/id-2nd-phd-call-general.html

Sept. 8, 2014

Postdoc opportunity at Stanford in Causal Brain Network Analysis

by Wei Wu

Dear fellow researchers, The Etkin Lab at Stanford University is currently seeking to fill a postdoc position for causal brain network analysis. Please find below the job requirement and contact info. Thank you for your attention! Postdoc opportunity at Stanford in Causal Network Analysis – from Concurrent TMS/fMRI to Transdiagnostic Imaging of Psychiatric Disorders The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting applications for a postdoctoral research fellowship focused on causal network analyses using fMRI in healthy individuals and patients with a range of psychiatric disorders. The focus of this position is on application of network analysis tools (e.g. graph theory, network-based statistics, etc) to fMRI data, including both causal circuit mapping experiments with concurrent transcranial magnetic stimulation (TMS) and fMRI, as well as resting-state data from patients across the mood, anxiety and stress disorders represented, and across the lifespan. The successful applicant will have a PhD in Cognitive Neuroscience, Neurophysiology, Psychology, Computer Science, Statistics or related fields. Experience with analysis of fMRI data or with causal network analysis tools is required. Additional programming experience is a plus. Duties will also include manuscript preparation, presentation of findings at conferences, management of research assistants and contribution to the preparation of grants. Laboratory and Stanford resources include research-dedicated 3T and 7T MRI scanners, concurrent TMS/fMRI setups and concurrent TMS/EEG setups. Salary commensurate with experience. More information about our ongoing studies can be found at: http://etkinlab.stanford.edu. To apply, please send a curriculum vitae, a statement describing research interests and relevant background and three letters of recommendations, as well as relevant reprints/preprints of research articles to: Amit Etkin, MD, PhD Department of Psychiatry and Behavioral Sciences Stanford University amitetkin(a)stanford.edu

Sept. 5, 2014

New software for neuronal model fitting

by Szabolcs Káli

Dear Colleagues, We are pleased to announce the availability of the first public (beta) version of Optimizer, an interactive software tool for fitting the parameters of neuronal models. Optimizer was developed in Python, and has the following main features: - efficiently fits the free parameters of arbitrary neural (or other) models using advanced nonlinear optimization algorithms - all aspects of the optimization problem (including the model, its free parameters, the target data, the simulation and recording protocol, the error function) and the fitting process itself can be conveniently controlled from a graphical user interface (GUI) - full internal support for models implemented in the Neuron simulator (while other models can be also optimized using a "black box" approach) - choice of 7 different (tunable) optimization algorithms, including a customized evolutionary (genetic) algorithm, differential evolution, simulated annealing, the basinhopping algorithm, random search, and two local search methods - choice of 11 different error functions for the comparison of simulated and experimental (target) data, including generic ones as well as several feature-based ones which are appropriate for the comparison of membrane potential traces containing action potentials; error functions can be combined with arbitrary weights - the software is easily extensible in various ways to support novel scenarios A paper describing the software, several use cases, and comparisons with other model fitting tools, has been recently published in Frontiers in Neuroinformatics (the abstract and citation details are included at the end of this message): http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00063/abstract The software can be downloaded using git from https://github.com/vellamike/optimizer where you can also find instructions for installing the software and its dependencies. The current version of Optimizer has been verified to work under several recent Linux distributions. Alternatively, a compressed archive containing the software and various examples can be downloaded from https://github.com/vellamike/optimizer/releases/tag/v2.0-beta The documentation of the software is available at http://optimizer.readthedocs.org/en/latest/ Finally, we wish to encourage everyone interested in fitting neuronal models to try the software and provide feedback. If you find that your favorite optimization algorithm or error function is not currently included in Optimizer, it can probably be added with relatively little effort, especially given an existing implementation of the algorithm or function itself, and we would be very interested in collaborating on such an extension. We are also interested in learning about the model fitting problems encountered by potential users; we would be happy to advise users on whether and how Optimizer may be used to solve particular problems; in addition, future development of the software will be guided by the feedback that we receive. Best regards, Szabolcs Káli and Péter Friedrich Friedrich P, Vella M, Gulyás AI, Freund TF and Káli S (2014) A flexible, interactive software tool for fitting the parameters of neuronal models. Front. Neuroinform . 8 :63. doi: 10.3389/fninf.2014.00063 Abstract: The construction of biologically relevant neuronal models as well as model-based analysis of experimental data often requires the simultaneous fitting of multiple model parameters, so that the behavior of the model in a certain paradigm matches (as closely as possible) the corresponding output of a real neuron according to some predefined criterion. Although the task of model optimization is often computationally hard, and the quality of the results depends heavily on technical issues such as the appropriate choice (and implementation) of cost functions and optimization algorithms, no existing program provides access to the best available methods while also guiding the user through the process effectively. Our software, called Optimizer, implements a modular and extensible framework for the optimization of neuronal models, and also features a graphical interface which makes it easy for even non-expert users to handle many commonly occurring scenarios. Meanwhile, educated users can extend the capabilities of the program and customize it according to their needs with relatively little effort. Optimizer has been developed in Python, takes advantage of open-source Python modules for nonlinear optimization, and interfaces directly with the NEURON simulator to run the models. Other simulators are supported through an external interface. We have tested the program on several different types of problems of varying complexity, using different model classes. As targets, we used simulated traces from the same or a more complex model class, as well as experimental data. We successfully used Optimizer to determine passive parameters and conductance densities in compartmental models, and to fit simple (adaptive exponential integrate-and-fire) neuronal models to complex biological data. Our detailed comparisons show that Optimizer can handle a wider range of problems, and delivers equally good or better performance than any other existing neuronal model fitting tool.

Sept. 5, 2014

Job/Fellowship Opportunity: Big Data IT Management and Automation in NeuroMorpho.Org

by Rubén Armañanzas

George Mason University, Krasnow Institute for Advanced Study in Fairfax, VA (USA), invites applications for a full-time doctoral student graduate research assistant position available immediately in the Center for Neural Informatics, Structures, and Plasticity (krasnow1.gmu.edu/cn3) headed by Prof. Giorgio Ascoli. To be considered for this position, applicants must apply to the PhD program in Bioengineering at George Mason University (http://volgenau.gmu.edu/doctoral-degrees) following the instructions below. The successful applicant will join a collaborative multidisciplinary team at the cutting edge of the development and dissemination of digital tools and resources for neuroscience. The Ascoli Lab is funded by the National Institutes of Health, the National Science Foundation, the Office of Naval Research, the Air Force Office of Scientific Research, the Intelligence Advanced Research Projects Activity, and Keck. This position is particularly suited for computationally minded researchers seeking exposure to the burgeoning field of big data in neuroinformatics. The candidate will join the NeuroMorpho.Org project -- a free, public, centralized repository of neuronal digital reconstructions. NeuroMorpho.Org has firmly established itself as a powerful resource for the neuroscience community, with millions of downloads and data usage in over 200 publications by other labs since its 2006 public release. Its version 5.7 contains over 148,000 internal data files pertaining to more than 11,000 neuronal reconstructions contributed by 144 laboratories worldwide from 24 species and 95 brain regions. The pre-doctoral fellow will work within the CN3 research group and will be tasked with a variety of activities including design of new Information Technology (IT) solutions to enhance the performance of existing software and hardware infrastructure. Due to the growing pace of the field, the recipient will be also responsible for tuning and implementing the next generation support for Big Data handling of digital neuronal reconstructions. Desired qualifications include: 1. proficiency in C/C++, Java and Python; 2. experience in Unix/Linux server administration; MySQL design and administration; web technologies and API web services; content management systems; and 3. a BS/MS in Computer Science, Information/Systems/Software Engineering or a similar field. Knowledge in task analysis automation and interest in neuroscience are a plus. The position includes a $22,000/year 12 months-stipend (20 hours/week during academic year, 40 hours/week during summer) in addition to health insurance and up to 18 credits per year of tuition coverage in the Volgenau school of Engineering. To apply, please follow the PhD application instructions (http://volgenau.gmu.edu/how-to-apply) Include the wording "/Neuroinformatics fellowship in Prof. Giorgio Ascoli's lab/" in both your research/interest statement and cover letter. After submitting the application material, please also forward a copy of your resume, research/interest statement, and cover letter directly to ascoli(a)gmu.edu <mailto:ascoli@gmu.edu> with subject "Bioengineering PhD candidate". Beyond the frontiers of neuronal types

Sept. 4, 2014

NEURAL COMPUTATION - October 1, 2014

by Terry Sejnowski

Neural Computation - Contents -- Volume 26, Number 10 - October 1, 2014 Available online for download now: http://www.mitpressjournals.org/toc/neco/26/10 ----- Articles Efficient Sensory Encoding and Bayesian Inference With Heterogeneous Neural Populations Deep Ganguli, Eero P Simoncelli Dimensionality of Object Representations in Monkey Inferotemporal Cortex Sidney Lehky, Roozbeh Kiani, Hossein Esteky, and Keiji Tanaka Letters Hierarchical Control Using Networks Trained With Higher-Level Forward Models Gregory Duncan Wayne, Larry Abbott Spine Head Calcium as a Measure of Summed Postsynaptic Activity for Driving Synaptic Plasticity Bruce Graham, Ausra Saudargiene, and Stuart Cobb Design of Charge-Balanced Time-Optimal Stimuli for Spiking Neuron Oscillators Isuru Dasanayake, Jr-Shin Li Influence of External Inputs and Asymmetry of Connections on Information-Geometric Measures Involving Up to Ten Neuronal Interactions Yimin Nie, Jean-Marc Fellous, and Masami Tatsuno Fragility in Dynamic Networks: Application to Neural Networks in the Epileptic Cortex Duluxan Sritharan, Sridevi Vedula Sarma On Anti-periodic Solutions for Cohen-Grossberg Shunting Inhibitory Neural Networks With Time-varying Delays and Impulses Changjin Xu., Qiming Zhang Learning Rates of Lq Coefficient Regularization Learning With Gaussian Kernel Shaobo Lin, Jinshan Zeng, Jian Fang, and Zongben Xu ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2014 - VOLUME 26 - 12 ISSUES USA Others Electronic Only Student/Retired $70 $193 $65 Individual $124 $187 $115 Institution $1,035 $1,098 $926 Canada: Add 5% GST MIT Press Journals, 238 Main Street, Suite 500, Cambridge, MA 02142-9902 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-orders(a)mit.edu ------------

Sept. 4, 2014

Postdoctoral position at the University of Pittsburgh

by Brent Doiron

Applications are invited for a Simons foundation funded postdoctoral position(s) in the Mathematics and Neuroscience departments of the University of Pittsburgh. The project will involve the collection, analysis, and modeling of large-scale multi-unit recordings from cortex, with an emphasis on understanding how visual attention modulates neural response. Of specific interest is elucidating the neural mechanisms that underlie the control of neural variability, as well as its consequences on neural function. Successful candidates will either be members of the working group of Dr. Brent Doiron and will be in tight collaboration with the Dr. Marlene Cohen, or vice versa, depending on the fit of the applicant. Theoretical candidates should expect to be members of the Doiron group, while candidates with an experimental focus would be in the Cohen group. Please visit www.math.pitt.edu/~bdoiron and www.cohenlab.com for a list of recent work from the Doiron and Cohen groups. The successful candidate(s) will be integrated into the Center for the Neural Basis of Cognition (http://www.cnbc.cmu.edu) a large and vibrant community of neuroscientists spanning many departments across the University of Pittsburgh and Carnegie Mellon University. The position is funded for several years, with an initial one-year appointment and an expectation of extension to at least three years, given satisfactory performance. The salary is competitive, and the start date is negotiable (January 2015 is optimal). Applicants with a PhD in Mathematics, Applied Mathematics, Neuroscience, Statistics, Biology, Psychology or a related discipline, and ideally with experience in computing, computational neuroscience, statistical analysis, or in vivo recording should send a CV including a list of publications, a research statement, and reference contact information to bdoiron(a)pitt.edu The University of Pittsburgh is an Affirmative Action, Equal Opportunity Employer, and women and members of minority groups under-represented in academia are especially encouraged to apply. -- Associate Professor of Mathematics Center for the Neural Basis of Cognition University of Pittsburgh 301 Thackeray Hall Pittsburgh, PA, 15260 www.math.pitt.edu/~bdoiron

Sept. 3, 2014

Tenure Track Faculty Position in Neuroscience at Rutgers University - Newark

by Bart Krekelberg

The Center for Molecular & Behavioral Neuroscience (CMBN) at Rutgers University seeks outstanding candidates for a tenure track Assistant Professor position in NEUROSCIENCE. Applicants should hold a Ph.D. degree in Neuroscience or a related field and have completed at least two years of post-doctoral training. The ideal candidate for this position asks fundamental hypothesis-driven questions about brain structure and function and is open to establishing collaborative research efforts within the Rutgers neuroscience community. Research areas of particular interest are executive control, sensory-motor integration, learning and memory, and emotional regulation. The successful applicant will likely use a broad range of experimental approaches in non-human primates, humans, and/or rodents, and methods including electrophysiology, optogenetics, and functional imaging. The assistant professor will be expected to maintain an active externally-funded research program, to teach undergraduate and graduate courses in neuroscience, and to mentor Ph.D. students in the Behavioral and Neural Sciences program. Rutgers, The State University of New Jersey, is a leading national public research university and the state's preeminent, comprehensive public institution of higher education. Rutgers is dedicated to conducting research that breaks new ground; to teaching that meets the highest standards of excellence; and to providing services, solutions, and clinical care that help individuals and the local, national, and global communities where they live. CMBN is located in Newark NJ, a short drive from New York City. CMBN is part of a large community of neuroscientists at Rutgers Newark, with additional researchers in the Departments of Biological Sciences and Psychology as well as in the Rutgers University New Jersey Medical School. Collectively, these researchers represent all levels of analysis in neuroscience (http://www.neuroscience.newark.rutgers.edu) Applicants should apply as soon as possible, but no later than 10/20/2014. Rutgers is an Equal Opportunity/Affirmative Action Employer and has a strong commitment to diversity. Women and members of underrepresented minorities are especially encouraged to apply. Rutgers-Newark is noted for its exceptionally diverse student population. To receive detailed instructions on how to apply, please send an email to search(a)cmbn.rutgers.edu with the subject line 'How to apply'. --- Bart Krekelberg, PhD Associate Director, Center for Molecular and Behavioral and Neuroscience Associate Director, Rutgers Brain Imaging Center Associate Professor, Rutgers University Newark, NJ 07102 USA T: 973 353 3602 W: vision.rutgers.edu E: bart(a)vision.rutgers.edu

Sept. 3, 2014

IWSYP’14 - I International Workshop on Synaptic Plasticity

by Thiago Matos Pinto

Dear colleagues, Please see the information below about an upcoming workshop on synaptic plasticity. Best wishes, Thiago *** I International Workshop on Synaptic Plasticity - IWSYP’14 *** University of São Paulo, Ribeirão Preto, São Paulo State, Brazil Workshop dates: September 8th - 9th 2014 Organizers: Thiago Matos Pinto and Antonio Roque Participation is free of charge! This workshop is a satellite event of the XXXVIII Annual Meeting of the Brazilian Society for Neuroscience and Behavior (SBNeC), which will be held on September 10-13 in Búzios, Rio de Janeiro. The SBNeC meeting will also feature big names in Neuroscience, and will be a preparatory event for the 9th World Congress of the International Brain Research Organization (IBRO), which will take place in Rio de Janeiro in 2015. Confirmed speakers: Chris De Zeeuw (Erasmus Medical Center, Rotterdam, The Netherlands & Netherlands Institute for Neuroscience, Amsterdam, The Netherlands) Freek Hoebeek (Erasmus Medical Center, Rotterdam, The Netherlands) Reinoud Maex (École Normale Supérieure, Paris, France) Ricardo Leão (University of São Paulo, Ribeirão Preto, Brazil) Thiago Matos Pinto (University of São Paulo, Ribeirão Preto, Brazil) Gabriela Antunes (University of São Paulo, Ribeirão Preto, Brazil) Giseli de Sousa (Federal University of Santa Catarina, Florianópolis, Brazil) Cleiton Lopes Aguiar (University of São Paulo, Ribeirão Preto, Brazil) Renan Oliveira Shimoura (University of São Paulo, Ribeirão Preto, Brazil) Bruna Lanzillotta de Mattos (Fluminense Federal University, Niterói, Rio de Janeiro State, Brazil) Luana Chagas (Fluminense Federal University, Niterói, Rio de Janeiro State, Brazil) Querusche Zanona (Federal University of Rio Grande do Sul, Brazil) Fabiana Santana (Federal University of Rio Grande do Sul, Brazil) We look forward to seeing you in Ribeirão Preto. With best wishes, Thiago Matos Pinto, IWSYP'14 Organizer

Sept. 3, 2014

Faculty positions in Computer Science at American University

by Mark Laubach

American University, College of Arts & Sciences, Department of Computer Science Computer Science (Assistant, Associate or Full Professor) The Department of Computer Science in the College of Arts and Sciences at American University in Washington, DC invites applications for up to three tenure-track or tenured Assistant/Associate/Full Professors to form a collaborating research team. We seek either a group of researchers who will be hired together, or a senior individual with a vision for filling the other positions. The team’s research expertise may be in any area of computer science. Following the department’s strong recent hires in the interdisciplinary areas of computational neuroscience and persuasive gaming, the university seeks to build computer science’s core program areas, which may include algorithms and data structures, architecture, robotics, databases and information retrieval, human-computer interactions, numerical and symbolic computation, operating systems, programming languages, or software methodology and engineering. Preference will be given to teams or visions that contribute to more than one of the core program areas, and that contribute to the university’s capacity in the area of big data. The Computer Science Department is currently in a period of expansion, and is poised to become a leader in the university’s technology an innovation sectors. To support this trajectory, the department will soon be moving to a new building that is designed to promote inspiration, collaboration, creation and cultivation. QUALIFICATIONS All applicants should have a strong record of (or potential for) externally sponsored research. We are especially eager to recruit candidates with established research partnerships (or the ability to form such partnerships) in the Washington, DC area. Candidates should also have a record of excellence in teaching and mentoring students. Teaching responsibilities will include core courses in computer science and more advanced courses in the applicant’s area of specialty. The Ph.D. in Computer Science or a closely related field is required; post-doctoral or industry experience is preferred. At least one appointment will be at a senior level with tenure. Preference will be given to senior candidates who are able and willing to lead the department, including (but not limited to) the development of a Ph.D. granting program. APPLICATION INSTRUCTIONS Applicants should include a statement (a joint statement for team applications) of research outlining the research focus (or foci) and future plans for developing a nationally competitive, externally funded research program at American University. In addition to a (joint, if applicable) research statement, each applicant should include statements of individual research and teaching experience, a CV, and the names of three references not in the proposed team. Please submit applications via: http://apply.interfolio.com/25813. Review of applications will begin November 3 and continue until the position is filled.

Sept. 2, 2014

Postdoc position available

by Olaf Sporns

*Computational Cognitive Neuroscience Lab - Indiana University* *Postdoctoral Fellowship* Applications are invited for an open position as postdoctoral fellow in the Computational Cognitive Neuroscience Lab, Department of Psychological and Brain Sciences, Indiana University Bloomington. The core research focus of the lab is in the area of brain networks and connectomics. The lab works on anatomical and functional data sets from a number of species, with a strong emphasis on human brain connectivity and connectome data. Ongoing projects in the lab involve applications of models and tools from network science, graph theory, complex dynamics and information theory to basic and clinical/translational neurobiological questions. A description of the lab and current research areas can be found at www.indiana.edu/~cortex <http://www.indiana.edu/%7Ecortex> . Applicants should (a) have (or be in the final stages of obtaining) a PhD or equivalent degree in a field relevant to the research focus of the lab (e.g. neuroscience, neuroimaging, applied mathematics, computer science or bioengineering); (b) have a strong background in computational methods and programming (including advanced skills in Matlab); and (c) have strong enthusiasm for using computational approaches to understand neurobiological problems. Candidates with background in networks or graph theory, experience in processing and analyzing neuroimaging or electrophysiological recordings, exposure to "big data" approaches relevant to brain function, and a strong record of publication are especially encouraged to apply. The postdoctoral fellow will join a very active and interdisciplinary research group, and will be expected to engage and interact with a growing number of network and complex systems scientists at Indiana University and beyond. The lab maintains close ties and collaborations with scientists in the IU Imaging Research Facility (housing a 3T Siemens MR scanner), the Center for Complex Networks and Systems at the School of Informatics and Computing, the Medical School campus, and at other institutions nationally and internationally. All lab members have access to excellent computational facilities. The potential start date is negotiable, and the position is initially offered for a 1-year term which is renewable upon mutual agreement.Salary levels will follow NIH guidelines. Please email application materials (cover letter, a full CV with a list of publications, and 3 letters of reference) to Olaf Sporns at osporns(a)indiana.edu <mailto:osporns@indiana.edu> . -- Olaf Sporns -- @spornslab Department of Psychological and Brain Sciences Programs in Neuroscience and Cognitive Science Indiana University Bloomington, IN 47405

Sept. 2, 2014

NIPS 2014 - Final Call for Demonstrations

by Hugo Larochelle

The Neural Information Processing Systems Conference 2014 http://nips.cc/Conferences/2014/ has a Demonstration Track running in parallel with some of the evening Poster Sessions, December 8-11, 2014, in Montreal, Quebec, Canada. Demonstration Proposal Deadline: Monday September 15, 2014, 11pm Universal Time (4pm Pacific Daylight Time). http://nips.cc/Conferences/2014/CallForDemonstrations Demonstrations offer a unique opportunity to showcase: - Hardware technology - Software systems - Neuromorphic and biologically-inspired systems - Robotics or other systems, which are relevant to the technical areas covered by NIPS (see Call for Papers http://nips.cc/Conferences/2014/CallForPapers) Demonstrations must show novel technology and must be run live, preferably with some interactive parts. Unlike poster presentations or slide shows, live action and interaction with the audience are critical elements. Submissions: Submission of demo proposals at the following URL: https://nips.cc/Demonstrators/ You will be asked to fill a questionnaire and describe clearly: - the technology demonstrated - the elements of novelty - the live action part - the interactive part - the equipment brought by the demonstrator - the equipment required at the place of the demo Evaluation Criteria: Submissions will be refereed on the basis of technical quality, novelty, live action, and potential for interaction. Demonstration chair: Hugo Larochelle <demonstration-ch...(a)lists.nips.cc<http://lists.nips.cc>> http://nips.cc/Conferences/2014/CallForDemonstrations

Sept. 2, 2014

Open Postdoc Position in Brain-Computer Interfaces

by Michael Tangermann

Dear colleagues, may I ask you to please circulate the following job offer in your labs and email lists? Thanks a lot and best greetings from Freiburg, Michael OPEN POSITION FOR A POSTDOCTORAL FELLOW: ======================================== Type: Postdoc Position Topic: Brain-Computer Interfaces in Cognitive Rehabilitation after Stroke (speech & attention deficits) Where: BrainStateDecoding lab of Dr. Michael Tangermann (Computer Science Dept., University of Freiburg, Germany) When: ideal start before November 2014; duration: 12 months+ Further information: http://www.bsdlab.uni-freiburg.de/jobs (Please apologize for cross-posting) --- Dr. Michael Tangermann Phone: +49.(0)761.2038423 Fax : +49.(0)761.2038417 University of Freiburg BrainLinks-BrainTools Excellence Cluster Brain State Decoding Lab Albertstr. 23, Room 0.003 79104 Freiburg, Germany http://www.bsdlab.uni-freiburg.de

Sept. 2, 2014

Fwd: Register Today for the IPEG-Meeting

by Martijn Arns

Sept. 2, 2014

Multiple job listings in Brain-Inspired Computing at IBM Research - Almaden

by John Arthur

IBM’s Brain-Inspired Computing team at IBM Research - Almaden is building a first-of-a-kind modular, scalable, non-von Neumann, ultra-low power, cognitive computing architecture and associated end-to-end ecosystem. We are building state-of-the-art digital spiking neuromorphic Application Specific Integrated Circuits (ASICs) and systems (large-scale and mobile) to solve real-time sensory problems. We have a number of positions in hardware, software, and other technical areas. http://modha.org/blog/2014/08/jobs_braininspired_computing.html To receive full consideration, please apply using the links below to ensure your resume/CV will be directed to the appropriate hiring manager. RES-0683225 Research Staff Member-ASIC and System Design https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683225 RES-0683232 Research Staff Member-Software and Applications https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683232 RES-0683057 Research Staff Member-Software and Applications https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683057 RES-0683578 Research Staff Member-Scalable Systems / Supercomputing Architect https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683578 RES-0683223 Hardware and Systems Engineer https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683223 RES-0683215 Systems Software Engineer https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683215 RES-0683211 Systems Software Engineer https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683211 RES-0683583 Software Engineer: Tools and Programming Languages https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683583 RES-0683592 Development & Delivery Engineer https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683592 RES-0683593 Software Trainer / Coach https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683593 RES-0683227 Technical Writer/Archivist https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0683227

Sept. 2, 2014

3 open PhD psoitions at the Neuroinformatics Lab at the Institute of Cognitive Science, University of Osnabrück, Germany [Reminder]

by Gordon Pipa

The Neuroinformatics Research Group (Prof. Dr. Gordon Pipa) of the Institute of Cognitive Science invites applications for 3 Research Assistants (PhD student level), (Salary level E 13 TV-L 50%) to be filled as soon as possible for a period of three years. The position allows for further scientific qualification. We invite applicants that are interested in research in Neuroinformatics, with an emphasis on dynamical systems, machine learning, virtual reality, computational linguistics and electrophysiology. Candidates will participate in a highly international PhD program on cognitive science (with >40 currently enrolled students) and interdisciplinary research projects that can involve cooperation with other disciplines of our institute. Candidates should be highly motivated to understand the structure of neuronal coding and neuronal representations. To study this, we involve different research strategies that range from the development of highly sophisticated data analysis strategies, to modelling of neuronal processes on the level of recurrent networks. The qualification profile of the candidates can range from a purely mathematical neuroscientist, a dynamical systems researcher to interdisciplinary candidates that share interest in performing experiments with the virtual reality combined with EEG and sophisticated machine learning-based analysis of recorded activity (at http://ikw.uni-osnabrueck.de/en/ni/publications you find an overview of recent research topics). Description of Responsibilities: The successful candidate will be involved in several research projects that range from BSc to MSc projects. The position also involves teaching Cognitive Science courses at BSc and MSc level (2 hours/week). Required Qualifications: Candidates are expected to have an excellent academic degree (Master/diploma). Applicants should have an excellent knowledge in the field of machine learning, i.e. generalized linear and state space models, kernel methods, reservoir computing and deep learning. Experience or a strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and the concepts to study these, i.e. bifurcation and stability analysis, and delay- coupled differential equations, measurements of complexity, are encouraged. Experience or a strong interest in experimental methods such as EEG, and virtual reality are highly welcome. In addition, a strong interest or experience in the estimation of causal interactions from time series is welcome. As a certified family-friendly institution, Osnabrück University is committed to furthering the compatibility between work/studies and family life. As an employer, Osnabrück University is particularly concerned with creating equal opportunities for women and men. Women with relevant qualifications are therefore strongly encouraged to apply for the position. Preference will be given to women with equal qualifications. Furthermore, qualified applicants with disabilities will be favored. Applications with the usual documentation, including two letters of recommendation, should be submitted by e-mail in a single PDF file to the Director of the Institute of Cognitive Science (office(a)ikw.uni-osnabrueck.de) no later than 08.09.2014. An electronic copy should be sent to Prof. Dr. Gordon Pipa (gpipa(a)uni-osnabrueck.de) who can also be contacted for further information. ---------------------------------------------------------------------------- --- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 31/404 University of Osnabrueck Albrechtstr. 28, 49069 Osnabrueck, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de <http://www.ni.uos.de/> Projects: http://www.pipa.biz/Projects_and_Lectures/projects_and_lectures.html research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act google scholar: http://scholar.google.de/citations?user=joR6mgEAAAAJ Personal Assistent and Secretary of the Neuroinformatics lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS <https://twitter.com/>

Sept. 1, 2014

Tenure Track Assistant Professot in Theoretical and Computational Neuroscience

by Liu, Robert C

Tenure Track Assistant Professor in Theoretical and Computational Neuroscience. The Department of Biology in the Emory College of Arts and Science is seeking applications for a tenure-track position in theoretical and computational neuroscience. Current computational neuroscience research at Emory is anchored in the Department of Biology (http://www.biology.emory.edu<http://http/www.biology.emory.edu/>) and is grounded in experimental preparations and neurobiological questions (http://compneurosci.college.emory.edu) The ideal candidate would be a theorist who bridges into experimental data analysis in systems neuroscience. Innovative approaches to understanding principles of neural coding, neural dynamics, learning, memory, and behavior are of particular interest. The successful candidate is anticipated to have a PhD and postdoctoral experience in a quantitative science, and is expected to contribute to the Biology Department's teaching mission in the context of programs in quantitative theory and methods (http://quantitative.emory.edu) and neuroscience (http://www.nbb.emory.edu) Interactions with experimentalists and other theorists within Emory's rich, collaborative neuroscience community are encouraged. Emory has more than 120 laboratories participating in graduate programs in Neuroscience (http://biomed.emory.edu/PROGRAM_SITES/NS/) and Biomedical Engineering (http://www.bme.emory.edu) and spanning Emory College (Biology, Psychology, Physics, Anthropology), School of Medicine, Yerkes National Primate Research Center and Georgia Institute of Technology. Applications should include a curriculum vitae, a research statement, a teaching statement and three confidential reference letters. Applications and reference letters must be electronically uploaded through Interfolio at http://apply.interfolio.com/25348<http://go.toutapp.com/ecca7f39a80cf3c11e>. The deadline for applying is December 1, 2014; applications received after this date are not guaranteed full consideration. Emory University is an Equal Opportunity/Affirmative Action/Disability/Veteran employer. Women, minorities, persons with disabilities and veterans are encouraged to apply. Robert C. Liu Associate Professor Winship Distinguished Research Professor Emory University Department of Biology Rollins Research Center 1510 Clifton Road NE, Room 2131 Atlanta, GA 30322 Phone: (404) 727-5274 Fax: (404) 727-2880 Email: robert.liu at emory.edu Website: http://www.biology.emory.edu/research/Liu/html/index.php This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

Sept. 1, 2014

BRAIN-FETs 2014: 1st Clustering Workshop on Future Emerging NeuroTechnologies, 16-17 Oct 2014, Genova (Italy)

by Giugliano Michele

APOLOGIES FOR CROSS-POSTING Dear Colleagues, Michele Giugliano (U Antwerpen) and Luca Berdondini (Italian Institute of Technology) are organising the 1st Clustering Workshop on Future Emerging NeuroTechnologies<http://www.brainfet.eu>, to be held on 16th-17th October 2014, in Genova (Italy)<http://www.brainfet.eu/travel-info/venue.html>. This workshop aims at clustering a relatively small subset of the European FET community, particularly active on Brain inspired ICT, Neurotechnologies, novel materials, and computational approaches. It is a unique opportunity to learn about ongoing research and to critically contribute in designing next steps in FETs, successfully facing the many challenges that await. The cluster of EC-funded projects who organize the event (see the workshop flyer<http://ec.europa.eu/information_society/newsroom/cf/dae/document.cfm?doc_id…> for the list), is characterized by common efforts, integrating innovative developments on future emerging technologies applied to Neuroscience, and qualified by a synergy among diverse experimental, computational, and engineering approaches. The format of the workshop consists in a two-days event and in a networking evening. Participants from EC-funded Projects are welcome to present their research in a poster session and to meet colleagues with a heterogeneous background and from all over Europe. Interested? Register as soon as possible by filling and submitting the online application form<http://www.brainfet.eu/registration.html>. Admission will be limited to the first 150 participants. The conference registration fee, covering coffee breaks, lunches and the social dinner is: 100 EUR/person. Thanks for your attention, -- Michele Giugliano, PhD Dept. of Biomedical Sciences University of Antwerp Campus Drie Eiken (CDE) - D.T.657 Universiteitsplein 1, B-2610 Wilrijk (Belgium) url: http://www.ua.ac.be/michele.giugliano

Sept. 1, 2014

Postdoctoral position studying neurovascular coupling

by Patrick Drew

A postdoctoral fellowship studying the neural circuits involved in neurovascular coupling is available in the laboratory of Patrick Drew. We are looking for an independent, highly motivated scientist to use a combination of optical (two-photon microscopy and intrinsic imaging), optogenetic, and electrophysiological techniques to study neurovascular coupling in awake, behaving mice. The successful applicant will have Ph.D. in neuroscience, biomedical engineering, physiology or a related field, and at least one first author publication. The candidate should have excellent English communication skills, experience with in vivo electrophysiology, optogenetics and/or optical imaging techniques. Strong data analysis and quantitative skills are required. The position is for one year, with possibility of extension up to two additional years contingent on funding. Applications will be reviewed upon receipt and will be accepted until the position is filled. Apply to job #52876 at http://apptrkr.com/504686 More information about the lab can be found at - http://www.esm.psu.edu/~patrick/Drew_Lab/Drew_Lab.html. Applications must be submitted electronically and include a statement of research interests, CV and contact details of three letters of reference to Dr. Patrick Drew: pjd17(a)psu.edu _________________________________ Patrick J. Drew Assistant Professor Center for Neural Engineering Dept. Engineering Science and Mechanics & Dept. Neurosurgery The Pennsylvania State University W-317 Millennium Science Complex University Park, PA 16802 (814) 863-1473 http://www.esm.psu.edu/~patrick/Drew_Lab/

Sept. 1, 2014

Call for Papers - Neural Networks special issue on Big Data

by Asim Roy

Apologies for cross posting. Special Issue on Neural Network Learning in Big Data [Special Issue on Neural Network Learning in Big Data] Neural Networks Special Issue: Neural Network Learning in Big Data Big data is much more than storage of and access to data. Analytics plays an important role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms. Most machine learning algorithms encounter theoretical challenges in scaling up to big data. Plus there are challenges of high dimensionality, velocity and variety for all types of machine learning algorithms. The neural network field has historically focused on algorithms that learn in an online, incremental mode without requiring in-memory access to huge amounts of data. The brain is arguably the best and most elegant big data processor and is the inspiration for neural network learning methods. Neural network type of learning is not only ideal for streaming data (as in the Industrial Internet or the Internet of Things), but could also be used for stored big data. For stored big data, neural network algorithms can learn from all of the data instead of from samples of the data. And the same is true for streaming data where not all of the data is actually stored. In general, online, incremental learning algorithms are less vulnerable to size of the data. Neural network algorithms, in particular, can take advantage of massively parallel (brain-like) computations, which use very simple processors, that other machine learning technologies cannot. Specialized neuromorphic hardware, originally meant for large-scale brain simulations, is becoming available to implement these algorithms in a massively parallel fashion. Neural network algorithms, therefore, can deliver very fast and efficient real-time learning through the use of hardware and this could be particularly useful for streaming data in the Industrial Internet. Neural network technologies thus can become significant components of big data analytics platforms and this special issue will begin that journey with big data. For this special issue of Neural Networks, we invite papers that address many of the challenges of learning from big data. In particular, we are interested in papers on efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, GPUs, clouds, clusters) and applications of online learning to solve real-world big data problems (e.g. health care, transportation, and electric power and energy management). RECOMMENDED TOPICS: Topics of interest include, but are not limited to: 1. Autonomous, online, incremental learning - theory, algorithms and applications in big data 2. High dimensional data, feature selection, feature transformation - theory, algorithms and applications for big data 3. Scalable neural network algorithms for big data 4. Neural network learning algorithms for high-velocity streaming data 5. Deep neural network learning 6. Neuromorphic hardware for scalable neural network learning 7. Big data analytics using neural networks in healthcare/medical applications 8. Big data analytics using neural networks in electric power and energy systems 9. Big data analytics using neural networks in large sensor networks 10.Big data and neural network learning in computational biology and bioinformatics SUBMISSION PROCEDURE: Prospective authors should visit http://ees.elsevier.com/neunet/ for information on paper submission. During the submission process, there will be steps to designate the submission to this special issue. However, please indicate on the first page of the manuscript that the manuscript is intended for the Special Issue: Neural Network Learning in Big Data. Manuscripts will be peer reviewed according to Neural Networks guidelines. Manuscript submission due: December 15, 2014 First review completed: March 1, 2015 Revised manuscript due: April 1, 2015 Second review completed, final decisions to authors: April 15, 2015 Final manuscript due: April 30, 2015 GUEST EDITORS: Asim Roy, Arizona State University, USA (asim.roy(a)asu.edu<mailto:asim.roy@asu.edu>) (lead guest editor) Kumar Venayagamoorthy, Clemson University, USA (gkumar(a)ieee.org<mailto:gvenaya@clemson.edu>) Nikola Kasabov, Auckland University of Technology, New Zealand (nkasabov(a)aut.ac.nz<mailto:nkasabov@aut.ac.nz>) Irwin King, Chinese University of Hong Kong, China (irwinking(a)gmail.com<mailto:irwinking@gmail.com>)

Sept. 1, 2014

PhD top-ups and full scholarships in Computational Neuroscience of Alertness

by Svetlana Postnova

*PhD top-ups and full scholarships in Computational Neuroscience of Alertness* Multiple PhD opportunities are available at the University of Sydney node of the Cooperative Research Centre for Alertness, Safety, and Productivity. *Supervisors: *Dr Svetlana Postnova, Dr Jong Won Kim*, *Prof. Peter Robinson. For the group website see http://sydney.edu.au/science/physics/research/complex-systems/brain-dynamic… *Projects* We focus on understanding the biological system controlling alertness and on developing quantitative models and tools to predict alertness in variety of situations and develop interventions to improve it. All projects involve quantitative modelling on the level of interacting brain nuclei and neurotransmitter systems with the effects manifested on the behavioural level. Project 1: Effects of light wavelength on the circadian system and alertness. Project 2: Individual variability in sleep-wake dynamics and vulnerability to shiftwork. Project 3: Real-time prediction of alertness using data fusion and modelling techniques. These opportunities are affiliated with the Cooperative Research Centre for Alertness Safety and Productivity which involves modellers, experimentalists, and industry partners from universities and industries across Australia and worldwide. Successful candidates will be located at the School of Physics of the University of Sydney and collaborating with sleep and chronobiology experimentalists across the University of Sydney, Monash University, and Harvard. All PhD projects provide an opportunity for up to 6 months placements with industrial partners. *Process and deadlines* For questions and to apply send an e-mail with CV to Dr Svetlana Postnova ( postnova(a)physics.usyd.edu.au) Full stipends ($25,392) from the Alertness CRC Ltd are available. High achieving applicants will be encouraged to apply for the prestigious APA/UPA (Australian) or IPRS/USYDIS (international) postgraduate scholarships. Successful candidates will be provided with additional top-up scholarships of $5000-$10.000 per year depending on merit. Applications for Alertness CRC Ltd stipends will be considered until the positions are filled. Applications for APA/UPA national scholarships close on the *31st of October 2014* to start in January 2015*. * http://sydney.edu.au/scholarships/research/postgraduate_awards.shtml#APAUPA Applications for IPRS/USYDIS international scholarships close on the *15th of December 2014 * to start in July 2015*.* http://sydney.edu.au/scholarships/prospective/international_postgraduate_sc… Best wishes Sveta -- Dr Svetlana Postnova CRC for Alertness Safety and Productivity & Complex Systems Group School of Physics, University of Sydney Physics Annex, A29, NSW 2006, Australia Phone: +61 2 9036 7971

Sept. 1, 2014

Donders Discussions 2014: by PhDs, for PhDs

by Charl

Dear all, We are pleased to announce the Donders Discussions 2014, a two-day conference for PhD students in neuroscience and cognition. This year, the conference will take place on Oct 30th and 31st in Nijmegen, The Netherlands. The aim of the Donders Discussions is to bring PhD students together in an informal, interdisciplinary atmosphere. Last year we welcomed more than 160 participants from 14 countries. We invite you to join us and make this year's edition an even bigger success! Our exciting programme features many interesting topics including visual perception, fear regulation, social neuroscience, and predictive coding among others. We also offer interactive workshops on networking and visibility, statistics issues in neuroimaging, and the art of presenting science. We warmly invite all participants to submit a poster abstract. The deadline is September 15, but registration may close earlier if the maximum number of participants has been reached. For more information on the programme and registration, please visit our website: http://www.ru.nl/dondersdiscussions. The registration fee is 50 euro. We look forward to seeing you in Nijmegen! The Donders Discussions Organizing Committee 2014

Aug. 31, 2014

POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY

by Wilson Truccolo

POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY: Applications for NIH-funded post-doctoral positions are invited for the Laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of data-driven stochastic and biophysical models of multiscale neural dynamics in human epilepsy. Data consist of simultaneous intracortical microelectrode array recordings of ensembles of single neurons and local field potentials, as well as ECoGs, during seizure and non-seizure states in individuals with intractable epilepsy. The project involves a collaboration between the labs of Dr. Truccolo and Dr. Sydney Cash (Massachusetts General Hospital, Harvard Medical School, Boston). The ideal candidate will have a strong background in computational/theoretical neuroscience and stochastic modeling of neural dynamics. Related recent publications can be found on the Truccolo lab website ( http://dl.dropbox.com/u/983891/Truccolo_home.htm) Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational Neuroscience Institute for Brain Science and Department of Neuroscience, Brown University S.E. Frank Hall, 185 Meeting Street, Office 552 Providence – RI – 02912

Aug. 31, 2014

Two Postdoctoral Positions in Computational Modeling of Primate Motor Control

by Ilya Rybak

=============== Two postdoctoral/research associate positions in computational neuroscience for the duration of up to three years are available in the externally funded project focusing on multiscale computational modeling of motor control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex, and spinal cord in connection with realistic simulation of pathological changes in motor control during Huntington’s disease. This collaborative project is performed jointly by the groups of Drs. Ilya Rybak (Dept. of Neurobiology and Anatomy, Drexel University, Philadelphia, PA, USA) and Yaroslav Molkov (Dept. of Mathematical Science, Indiana University – Purdue University, Indianapolis, IN, USA). Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline and have excellent C++ programming skills. Previous experience in computational neuronal modeling is a plus. Interested candidates are encouraged to contact Dr. Rybak (rybak(a)drexel.edu) or Dr. Molkov (ymolkov(a)iupui.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. ================================= Ilya A. Rybak, Ph.D. Professor Department of Neurobiology and Anatomy Drexel University College of Medicine 2900 Queen Lane Philadelphia, PA 19129 USA Tel.: (215) 991-8596 FAX: (215) 843-9082 E-mail: rybak(a)drexel.edu http://neurobio.drexelmed.edu/rybakweb/rybak.html http://www.drexelmed.edu/Home/AboutOurFaculty/IlyaARybak.aspx https://www.researchgate.net/profile/Ilya_Rybak/publications/ http://scholar.google.com/citations?hl=en&user=SnA068QAAAAJ http://www.pubfacts.com/author/Ilya+A+Rybak Yaroslav Molkov, Ph.D. Assistant Professor Indiana University - Purdue University Indianapolis Department of Mathematical Sciences 402 N. Blackford St, LD 270, Indianapolis, IN 46202 Office: LD 224U Phone: (317) 274-6934 Fax: (317) 274-3460 Email: ymolkov(a)iupui.edu

Aug. 31, 2014

Post-Doctoral Position; Indianapolis, USA – Paris, France

by Alexey Kuznetsov

Post-Doctoral Position in Computational Neuroscience; Indianapolis, USA – Paris, France A post-doctoral position is available for a USA-France collaborative project on the influence of alcohol on the central dopamine system. The project combines computational and experimental techniques. The post-doc will design a biophysical model of the brain circuitry affected by alcohol. The position is available immediately, September 2014, for up to three years. The time will be divided between two institutions: Indiana University-Purdue University at Indianapolis, USA, and École Normale Supérieure, Paris, France. In Indianapolis, the post-doc will work with Prof. Kuznetsov (Mathematics Dept.) and Prof. Lapish (Psycology Dept.). In Paris, he or she will work with Prof. Gutkin (Group of Neural Theory, ENS) and Prof. Mamelli (Institut du Fer a Moulin, INSERM). Both locations provide an excellent environment for collaborative research in quantitative biosciences. Applicants should have a Ph.D in Mathematics, Physics, or a related field, a background in Dynamical Systems, programming skills and working experience in Computational Neuroscience. An experience with stochastic processes is also a plus. To apply, please send your CV, list of publications, research statement, and contact information for three references to Prof. Alexey Kuznetsov via e-mail: askuznet(a)iupui.edu, or by regular mail: 402 N. Blackford Street, LD 270, Indianapolis, IN 46202. IUPUI is an EEO/AA Employer, M/F/D. -- Alexey Kuznetsov Associate Professor Dept. of Mathematical Sciences, IUPUI Science Building, LD 270, 402 N. Blackford St., Indianapolis, IN

Aug. 30, 2014

PhD position in Visual Psychophysics at the Institute of Vision in Paris, France

by Angelo ARLEO

One fully-funded PhD position in Visual Psychophysics at the Institute of Vision in Paris, France Job description Applications are invited for one PhD position in the Aging in Vision and Action laboratory at the Institute of Vision (INSERM-CNRS-University Pierre & Marie Curie) Paris, France. The gradual impairment of vision-dependent functions in the elderly is at the core of the research carried out in the Aging in Vision and Action laboratory. The main goal is to characterize how healthy aging shapes perceptual and cognitive aspects of vision. This PhD project will focus on the impact of healthy aging on low-level visual perception and visual processing functions. Requirements Applicants’ background should be in cognitive neuroscience/psychology. Previous experience with visual psychophysics, eye-movement analysis, visual space perception, or aging is welcome. Computer programming skills are also a plus. Proficiency in oral and written English is required. Knowledge of French is not mandatory. Successful candidates are expected to work in an interdisciplinary environment with collaborations with biologists, theoreticians and clinicians. They will be awarded a 3-year PhD fellowship from the University Pierre and Marie Curie Paris. Working environment and laboratory The Institute of Vision is one of the top international centers for integrated research on vision and eye diseases. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology. The Institute of Vision includes multidisciplinary research groups, which share state-of-the-art platforms for human and animal experimentation. It also harbors a clinical investigation center, which fosters truly translational research activity. More information can be found online (http://www.institut-vision.org) The Institute of Vision and Essilor International, world leader in ophthalmic optics, have recently supported the creation of the laboratory of Aging in Vision and Action. This new laboratory aims at evaluating and understanding the functional aspects of the degeneration mechanisms related to visual aging. This research has the potential to produce fundamental knowledge suited for opening to assistive technological developments and rehabilitation solutions. The faculty members of the Aging in Vision and Action laboratory, led by Angelo Arleo, are specialized in visual psychophysics, neurobiology of spatial orientation, neural coding, neurocomputational modeling, and preclinical evaluation. The group has access to a wide range of state-of-the-art platforms including eye trackers, motion capture rooms, virtual reality environments, brain imaging, artificial street labs and home labs (http://www.streetlab-vision.com/en/) How to apply Candidates should send a single pdf file containing a motivation letter, a full CV, and names and contact information of at least two referees, to angelo.arleo(a)inserm.fr. Short listed candidates will be contacted for an interview (either face-to-face or via videoconference). For further inquiries, please contact Angelo Arleo, angelo.arleo(a)inserm.fr, phone: +33 (0)1 53 46 26 52. Angelo ARLEO Institute of Vision, Aging in Vision and Action Lab, CNRS - INSERM - University Pierre&Marie Curie, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 89 89 07 23 email: angelo.arleo(a)inserm.fr; angelo.arleo(a)upmc.fr

Aug. 29, 2014

PhD Studentship in Computer Science: Understanding and modelling emergent functionality in small biological neural systems

by Peter Andras

PhD Studentship in Computer Science Understanding and modelling emergent functionality in small biological neural systems Reference Number: EPSAM2014-1 Application Deadline: 15th September 2014 Supervisor: Professor Peter Andras, School of Computing and Mathematics, Keele University Project description: The functionality of biological neural systems emerges through the interaction of neurons. Recent technological advances allow the recording and analysis of many neurons individually, making possible the understanding and modelling the emergence of system level functionality in biological neural circuits. This project will use as model system the stomatogastric ganglion (STG) of brown crabs. The focus will be on the understanding how the roles of neurons may change in response to neuromodulation in the context of changing functional behaviour of the pyloric rhythm neural circuit within the STG. We will use fast voltage-sensitive dye imaging to collect the data about the activity of neurons and computational modelling of these neurons and the impact of neuromodulators on them in order to model and explain the observed activity of the STG. We aim to analyse the roles of apparently functionally equivalent neurons (e.g. two PD neurons, five PY neurons) and model computationally the changes in their functional roles in response to neuromodulation. The successful candidate will be expected to learn the relevant biological experimental techniques, perform biological experiments, learn the relevant computational modelling techniques, and build and analyse computational models of neurons and neural circuits. The stipend is £13,863 (2014/15) per year. The studentship is not available for candidates from outside of the EU. Person specification: You should have either a First class honours degree in Computing Science, Mathematics, Physics, Biology or other relevant science or engineering subject, or a or 2.1 in Computing Science, Mathematics, Physics, Biology or other relevant science or engineering subject and a distinction level Masters degree in a related subject. Equivalent experience will also be considered. Application procedure: You must apply through the Universitys online postgraduate application website (http://www.keele.ac.uk/pgresearch/howtoapply/) specifying the reference number EPSAM2014-1 and selecting PhD in Computer Science, as the programme of study. Only mandatory fields need to be completed and a personal statement, CV and (if English is not your first language) a copy of your English language qualifications must be attached. The personal statement must state the title of the studentship, quote the reference number EPSAM2014-1 and describe how your research interests fit with the topic of the research projected outlined in the advertisement (max. 2 pages). If you already have published research papers a list of these providing bibliographic details should be included in the covering letter. You should also send your personal statement and CV by e-mail to Professor Peter Andras, ( <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk) Further information: For further details, please contact Professor Peter Andras ( <mailto:%20p.andras@keele.ac.uk> p.andras(a)keele.ac.uk) 01782 733412 For general enquiries contact: http://www.keele.ac.uk/pgresearch/howtoapply --- Professor Peter Andras Professor of Computer Science and Informatics Head of Computing Division School of Computing and Mathematics Keele University Keele, Staffordshire ST5 5BG UK Tel. +44-1782-733412 Fax. +44-1782-734268 E-mail: p.andras(a)keele.ac.uk Web: www.scm.keele.ac.uk/staff/p_andras/

Aug. 29, 2014

New book: Growing Adaptive Machines

by Nicolas Bredeche

<We are sorry if you have received multiple copies of this email> Dear all, Some of you will be interested in our recent book, Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks. The topic is the generation of low-level neural network architectures using bio-inspired models and simulations. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The book includes two broad reviews, summaries of research portfolios from established researchers, and new research contributions. We believe it will form a valuable reference for advanced students and practitioners. See below for the table of contents. http://www.springer.com/engineering/computational+intelligence+and+complexi… http://www.amazon.com/Growing-Adaptive-Machines-Computational-Intelligence/… Best regards, Taras Kowaliw, Nicolas Bredeche, René Doursat (Editors) =-=-=-=-= Table of Contents Artificial Neurogenesis: An Introduction and Selective Review. T. Kowaliw, N. Bredeche, S. Chevallier and R. Doursat A Brief Introduction to Probabilistic Machine Learning and Its Relation to Neuroscience. T. Trappenberg Evolving Culture Versus Local Minima. Y. Bengio Learning Sparse Features with an Auto-Associator. S. Rebecchi, H. Paugam-Moisy and M. Sebag HyperNEAT: The First Five Years. D. D’Ambrosio, J. Gauci and K. Stanley Using the Genetic Regulatory Evolving Artificial Networks (GReaNs) Platform for Signal Processing, Animat Control, and Artificial Multicellular Development. B. Wróbel and M. Joachimczak Constructing Complex Systems Via Activity-Driven Unsupervised Hebbian Self-Organization J. Bednar Neuro-Centric and Holocentric Approaches to the Evolution of Developmental Neural Networks. J. Miller Artificial Evolution of Plastic Neural Networks: A Few Key Concepts. J.-B. Mouret and P. Tonelli

Aug. 29, 2014

Director of Robotics Institute at HKUST

by Bert Shi

Professor Position cum Director of Robotics Institute Applications and nominations are invited for the joint faculty position as Professor cum Director of Robotics Institute in the Hong Kong University of Science and Technology. The successful candidate will hold a joint appointment as a full Professor in two or more of the following departments: Electronic and Computer Engineering, Mechanical and Aerospace Engineering, Computer Science and Engineering, Industrial Engineering and Logistics Management, and Mathematics. HKUST Robotics Institute is a newly established research institute. Its mission is to (i) conduct fundamental and cutting-edge research in the area of robotics, unmanned aerial vehicles (UAVs), manufacturing automation, autonomous systems, and medical robotics; (ii) provide a world class educational platform for robotics teaching and learning; (iii) transfer knowledge related to robotic technology to the community, industry and government; and (iv) create an entrepreneurial environment for students and faculty. Major stakeholders of the Institute include faculty, staff and students of various departments. Applicants/nominees for the position should have a PhD degree, demonstrated leadership abilities, extensive teaching and research experience as well as an ability to interact effectively with students, faculty, industry and the Government. Salary will be highly competitive with generous fringe benefits. Appointment of professorship will be made on substantive terms of service. Fringe benefits including housing, annual leave, medical and dental benefits will be provided where applicable. HKUST is committed to increasing the diversity of its faculty and has a range of family-friendly policies in place. More information about the School of Engineering is available at: www.seng.ust.hk<http://www.seng.ust.hk/> Applications/Nominations, together with a full curriculum vitae, list of publications, names and contacts of five referees, should be addressed to Professor Amine Bermak, Chair of the Search Committee by email to: drisearch(a)ust.hk<mailto:drisearch@ust.hk> on or before 15 November 2014<x-apple-data-detectors://2>. Review of applications/nominations will start immediately, and will continue until the position is filled. (Information provided by applicants will be used for recruitment and other employment-related purposes.)

Aug. 28, 2014

PhD position in computational neuroimaging

by Igor Yakushev

A PhD position is open in the research group Multimodal Imaging in Normal and Pathological Cognition (Head: Dr. Igor Yakushev) at the Department of Nuclear Medicine, Technische Universität München (TUM), Munich, Germany. The project is dedicated to modeling/reconstruction of cerebral networks on the basis of brain images, as obtained using PET, DTI, and fMRI. Disease-related changes in patterns of cerebral connectivity should be quantified in patients with cognitive impairment and subjects at risk. The research group is integrated into the TUM Neuroimaging Center, which possesses a broad methodological and thematic expertise: http://www.tumnic.mri.tum.de/tumnic/index.html The PhD student will be enrolled at the TUM graduate school, which offers a structured curriculum of courses and seminars (in English) and supports participation in conferences and international exchange: http://www.gs.tum.de/en/home/ The Dept. of Nuclear Medicine offers exciting opportunities for neuroimaging research, in an interdisciplinary environment consisting of medical physicists, radiopharmacists and clinicians, and access to state-of-the-art technology including a hybrid PET/MR scanner (Siemens Biograph mMR). Eligible candidates should have a background in applied mathematics, computer science, image analysis or related disciplines. Prior experience with image analysis, Matlab programming and good statistical skills are required. A co-authorship in a scientific paper (at least in submission) is advantageous. The student will be co-supervised by a partner department of the TUM (e.g., Informatics), depending on his/her academic background. The salary/stipend is 1500-2000 EUR net / month, depending on performance of the student and availability of funds. There is no tuition fee at the TUM. The position can commence immediately, by 1.2015 at the latest. Interested researchers should submit their applications including CV, two recommendation letters (or names and contact details of personal references), and a brief letter of motivation to Dr. Yakushev at igor.yakushev(a)lrz.tum.de Applications will be considered until the position has been filled.

Aug. 27, 2014

AES Seizure Prediction Challenge

by Levin Kuhlmann

Posted by Levin Kuhlmann on behalf of Ben Brinkmann Dear Colleagues, We had a phenomenal response to the Seizure Detection challenge (hosted through Kaggle.com<http://kaggle.com/>), which closed last week with 205 teams participating. We would like to call to your attention the AES Seizure Prediction challenge on Kaggle, which is now open to competitors at https://www.kaggle.com/c/seizure-prediction/. There is $USD 20,000 in prize money up for grabs! Sincerely, Ben =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- Benjamin H. Brinkmann, PhD Mayo Systems Electrophysiology Lab Alfred 9-441C, SMH 1216 Second St. SW Rochester, MN 55902 (507)538-5719 http://scholar.google.com/citations?user=ax95gtwAAAAJ&hl=en ________________________________

Aug. 27, 2014

Re: [Comp-neuro] New Purkinje Neuron Paper

by MICHAEL FORREST

This very recent paper may be of interest to the readership. It investigates and demonstrates the computational power of just a single neuron: the cerebellar Purkinje neuron. Furthermore, it suggests that the sodium-potassium pump is not simply a homeostatic, "housekeeping" molecule - but that it can be a computational element, utilised by the brain for information processing. Forrest MD (2014) Intracellular calcium dynamics permit a Purkinje neuron model to perform toggle and gain computations upon its inputs. Front. Comput. Neurosci. 8:86. Web link to this article at Frontiers (article is free): http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00086/full Date: Sat, 9 Aug 2014 19:54:33 +0200 From: hugues.berry(a)inria.fr To: comp-neuro(a)neuroinf.org CC: mauriziodepitta(a)gmail.com Subject: [Comp-neuro] A mailing list for Computational Glioscience Dear colleagues, A spinoff of the recent OCNS workshop on the modelling of glia-neuron interactions, we have started a new mailing list. It is intended to share items of interest (new results, papers, events, trainings, jobs...) to the computational glioscience community, i.e. researchers implicated in the modelling and simulation of glial cells at large (astrocytes, microglia, oligodendrocytes, Schwann cells...) and their interactions with neurons. To subscribe, send an email to : sympa(a)inria.fr with the following Subject: subscribe comput-gliosci your_name Sincerely yours Maurizio De Pitta' Hugues Berry-------------------------------------------------------------------------------- Maurizio De Pitta' - https://sites.google.com/site/mauriziodepitta Hugues Berry - http://www.inrialpes.fr/Berry -------------------------------------------------------------------------------- Project-Team BEAGLE INRIA Rhone-Alpes Université de Lyon LIRIS UMR5205 Antenne INRIA de La Doua Batiment CEI-1 66 Blvd Niels Bohr CS 52132 69603 Villeurbanne cedex France _______________________________________________ Comp-neuro mailing list Comp-neuro(a)neuroinf.org http://www.neuroinf.org/mailman/listinfo/comp-neuro

Aug. 26, 2014

Neural Circuits and Behavior Faculty Position

by Olaf Sporns

NEURAL CIRCUITS AND BEHAVIOR FACULTY POSITION, INDIANA UNIVERSITY: The Department of Psychological and Brain Sciences at Indiana University -- Bloomington seeks to fill a faculty position at the level of Assistant Professor (tenure-track) to begin August 2015. Applicants for this position must have a doctorate, a strong record of publication, and the potential for research funding. The applicant's research should focus on using innovative experimental techniques in animal models to understand mechanisms and causal relationships between neural circuit activity and ethologically relevant behavior. We seek cutting-edge integration between new and emerging capabilities for large scale recording and/or manipulation of circuits combined with sophisticated analysis of large-scale data. Examples of behaviors of interest include those related to learning and memory, perception, decision making, reward, timing, pain, adaptation to stress, and developmental processes. Experimental techniques include various methods for recording and manipulating neural circuits at single-cell resolution, including multi-electrode recordings, imaging of circuit activity, and optogenetics. Candidates using circuit-based approaches to study preclinical models of schizophrenia, autism, and other difficult to treat psychiatric diseases are encouraged to apply. The successful candidate is expected to assemble a vibrant, externally-funded research program and to achieve excellence in both undergraduate and graduate education. Indiana University is in the midst of a multi-year initiative to build excellence in network science, and it is anticipated that the candidate's research will both benefit from, and contribute to the initiative's computational neuroscience components. To apply, please include a curriculum vita, copies of representative publications, statements of research and teaching interests, and three (3) letters of recommendation. Interested candidates should review the application requirements and submit their application at: https://indiana.peopleadmin.com. Questions regarding the position or application process can be directed to: William P. Hetrick, Ph.D., Professor and Chair, Department of Psychology and Brain Sciences, 1101 E. 10th St., Indiana University, Bloomington, IN 47405 or via email at whetrick(a)indiana.edu <mailto:whetrick@indiana.edu>. Review of all applications will begin on November 1, 2014 and will continue until the position is filled. Indiana University is an equal opportunity employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, disability status or protected veteran status. Information about the department and the university is available at *http://psych.indiana.edu/faculty/opportunities.asp * * * -- Olaf Sporns -- @spornslab Department of Psychological and Brain Sciences Programs in Neuroscience and Cognitive Science Indiana University Bloomington, IN 47405

Aug. 26, 2014

CFP: MLINI 2014 - 4th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner

by Irina Rish

Call for Papers MLINI 2014 - 4th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner https://sites.google.com/site/mlininips2014/ Friday, December 12, 2014, Montreal, Quebec, Canada Submission deadline: October 10th, 2014 Workshop Overview: ----------------------- MLINI workshop focuses on machine learning approaches in neuroscience, neuroimaging, with an extension to behavioral experiments and psychology. This year, our focus is specifically on "Going Beyond the Scanner", which includes making inferences about mental states of a subject from ''cheaper'' (as opposed to fMRI) behavioral data such as subject's speech and/or text, audio, video, EEG and signals collected from various wearable devices. We believe that machine learning has a prominent role in shaping how questions in neuroscience are framed, and that the machine-learning mind set is now entering modern psychology and behavioral studies. It is also equally important that practical applications in these fields motivate a rapidly evolving line or research in the machine learning community. In parallel, there is an intense interest in learning more about brain function in the context of rich naturalistic environments and scenes. Efforts to go beyond highly specific paradigms that pinpoint a single function, towards schemes for measuring the interaction with natural and more varied scene are made. In this context, many controversies and open questions exist. The goal of the workshop is to pinpoint the most pressing issues and common challenges across the fields, and to sketch future directions and open questions in the light of novel methodology. The proposed workshop is aimed at offering a forum that joins machine learning, neuroscience, and psychology community, and should facilitate formulating and discussing the issues at their interface. Motivated by the previous workshops in this series, MLINI ‘11, MLINI’12, and MLINI’13, we will center this workshop around invited talks and a panel discussion. Triggered by the discussions, this year we plan to adapt the workshop topics to a less traditional scope neuroimaging scope and investigate the role of behavioral models and psychology, including topics such as psycholinguistics. Open questions and possible topics for contribution include, but are not limited to, the following: - How can we move towards more naturalistic stimuli, tasks and paradigms in neuroimaging and neuro-signal analysis? - What kind of mental states can be inferred from cheaper and easier to collect data sources (as an alternative to fMRI), such as text, speech, audio, video, EEG, and wearable devices? - How can we leave the lab when acquiring neuroimaging data, towards exploiting mobile acquisition (EEG and NIRS)? - What type of features should be extracted from naturalistic stimuli such as text, voice, etc., to detect specific mental states and/or mental disorders? - How can we combine traditional neuroimaging with naturalistic data collected from a subject or group of subjects? - In general, can we characterize situations when multivariate predictive analysis (MVPA) and inference methods are better suited for brain imaging analysis than more traditional techniques? - Given recent advances of deep learning in image analysis and other applications, a natural question to ask is whether neuroimaging analysis can benefit from such approaches? - How well can functional networks and dynamical models capture the brain activity, and when using network and dynamics information is superior to standard task-based brain activations? Workshop Format: -------------------------- In this one-day workshop we will explore perspectives and novel methodology at the interface of Machine Learning, Inference, Neuroimaging and Neuroscience. We aim to bring researchers from machine learning and neuroscience community together, in order to discuss open questions, identify the core points for a number of the controversial issues, and eventually propose approaches to solving those issues. Each session will be opened by several invited talks, and an in depth discussion. This will be followed by original contributions. Original contributions will also be presented and discussed during a poster session. The workshop will end with a panel discussion, during which we will address specific questions, and invited speakers will open each segment with a brief presentation of their opinion. Paper Submission: -------------------------- We seek for submission of original (previously unpublished) research papers. The length of the submitted papers should not exceed 8 pages in Springer format, excluding the references (LaTeX2e style files are available on the workshop page). Submission of previously published work is possible as well, but the authors are required to mention this explicitly. Previously published work can be presented at the workshop, but will not be included into the workshop proceedings (which are considered peer-reviewed publications of novel contributions). Moreover, the authors are welcome to present their novel work but choose to opt out of the workshop proceedings in case they have alternative publication plans. Important dates: -------------------------- - October 10, 2014 - paper submission - October 24, 2014 - notification of acceptance/rejection - December 12, 2014 - Workshop at Montreal, Quebec, Canada , following the NIPS conference Organizing Committee: -------------------------- Guillermo Cecchi (IBM T.J. Watson Research Center) Kai-min Kevin Chang (Language Technologies Institute, Carnegie Mellon University) Georg Langs (Medical University of Vienna, CSAIL, MIT) Brian Murphy (Machine Learning Department, Carngie Mellon University) *Irina Rish (IBM T.J. Watson Research Center) - main contact Leila Wehbe (CMU)

Aug. 25, 2014

First release of VERTEX cortical tissue LFP simulator

by Marcus Kaiser

Dear colleagues, Many of you may be interested the first release of our VERTEX simulator for biologically realistic models of *primate* cortical tissue. The Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX) is a Matlab tool for simulating extracellular potential recordings in spiking neural network (SNN) models. As a first application, our model allows us to reproduce temporal and spatial gamma oscillation features of in vitro MEA recordings of macaque cortex using more than 100,000 model neurons. However, adapting the code to other species or tissue types is also possible in the future (see FAQ on our website). VERTEX 1.0 Release Features - VERTEX simulator allows large simulations (> 100 000 neurons) on single computers - *In silico* neuronal network model of an *in vitro* brain slice recording - Realistic local field potential recording with “virtual electrodes” at any 3D point - Direct comparisons between simulated and experimentally observed tissue Software, a two-minute introductory video, tutorials, manuals, and a FAQ can be found at: http://www.vertexsimulator.org/ This release is in conjunction with our publication: Tomsett RJ, Ainsworth M, Thiele A, Sanayei M, Chen X, Gieselmann A, Whittington MA, Cunningham MO, Kaiser M. Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): Comparing multi-electrode recordings from simulated and biological mammalian cortical tissue. Brain Structure and Function (in press) http://dx.doi.org/10.1007/s00429–014–0793-x <http://dx.doi.org/10.1007/s00429-014-0793-x> Best, Marcus -- Marcus Kaiser, Ph.D. Associate Professor (Reader) in Neuroinformatics School of Computing Science Newcastle University Claremont Tower Newcastle upon Tyne NE1 7RU, UK Lab website: http://www.dynamic-connectome.org/ Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/ -- Best, Marcus -- Marcus Kaiser, Ph.D. Associate Professor (Reader) in Neuroinformatics School of Computing Science Newcastle University Claremont Tower Newcastle upon Tyne NE1 7RU, UK Lab website: http://www. <http://www.biological-networks.org/>dynamic-connectome.org <http://www.dynamic-connectome.org/> Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/

Aug. 25, 2014

Research Scientist Computational Neuroscience Position in Toronto

by Frances Skinner

Computational Neuroscience Research Scientist Position The Toronto Western Research Institute of the University Health Network invites applicants to apply for a Scientist position in the area of Computational Neuroscience. The ideal candidate will have a PhD in a relevant field, have research experience and expertise in mathematical and computational modeling techniques, and research interests that complement those of the Institute in “Degenerative Disorders of Aging”. Candidates whose research interests encompass modeling at multiple levels (molecular, cellular, network, systems), and who have experimental and/or collaborative experimental experience are especially encouraged. The successful candidate will have the ability to establish an independent, well-funded program and will be eligible for appointment at the appropriate level within the University of Toronto. Applications must be emailed by October 19th, 2014 and should include: 1) CV, 2) Statement of research interests, and 3) Contact information (including email) for three referees Reply, by email only, and in confidence to: TWRIrecruitment(a)uhnresearch.ca with subject line: CompNeuro University Health Network thanks all applicants, however, only those selected for an interview will be contacted. -- Frances Skinner, PhD TWRI/UHN and Univ Toronto www.skinnerlab.org

Aug. 23, 2014

JOURNAL OF INTEGRATIVE NEUROSCIENCE

by Roman Poznanski

JOURNAL OF INTEGRATIVE NEUROSCIENCE Volume 13, No.3, September 2014 http://www.worldscinet.com/jin 1. Theoretical predications of the effects of temperature on simulated adaptive processes in human motor nerve axons at 20°C–42°C D. I. Stephanova<http://www.worldscientific.com/action/doSearch?Contrib=Stephanova%2C+D+I>, M. Daskalova<http://www.worldscientific.com/action/doSearch?Contrib=Daskalova%2C+M> DOI: 10.1142/S0219635214500162 2. Motor afferents from the cerebellum, zona incerta and substantia nigra to the mediodorsal thalamic nucleus in the rat Safiye Çavdar<http://www.worldscientific.com/action/doSearch?Contrib=%C3%87avdar%2C+S>, Merve Özgür<http://www.worldscientific.com/action/doSearch?Contrib=%C3%96zg%C3%BCr%2C+M>, Sanem Pınar Uysal<http://www.worldscientific.com/action/doSearch?Contrib=Uysal%2C+S+P>, Özge Ceren Amuk<http://www.worldscientific.com/action/doSearch?Contrib=Amuk%2C+%C3%96+C> DOI: 10.1142/S0219635214500198 3. An ERP study of simple addition: The semantics and syntax of arithmetic operation signs Shelley Shaul<http://www.worldscientific.com/action/doSearch?Contrib=Shaul%2C+S>, Pearla Nesher<http://www.worldscientific.com/action/doSearch?Contrib=Nesher%2C+P> DOI: 10.1142/S0219635214500186 4. The role of featural processing in other-race face classification advantage: An ERP study Zhenhua Liu<http://www.worldscientific.com/action/doSearch?Contrib=Liu%2C+Z>, Qinghua Zhang<http://www.worldscientific.com/action/doSearch?Contrib=Zhang%2C+Q>, Yan Li<http://www.worldscientific.com/action/doSearch?Contrib=Li%2C+Y>, Yifeng Du<http://www.worldscientific.com/action/doSearch?Contrib=Du%2C+Y>, Wei Dong<http://www.worldscientific.com/action/doSearch?Contrib=Dong%2C+W>, Lun Zhao<http://www.worldscientific.com/action/doSearch?Contrib=Zhao%2C+L> DOI: 10.1142/S0219635214500125 5. fMRI evidence for dissociation between priming and conscious recognition M. S. Korsnes<http://www.worldscientific.com/action/doSearch?Contrib=Korsnes%2C+M+S>, S. J. Magnussen<http://www.worldscientific.com/action/doSearch?Contrib=Magnussen%2C+S+J> DOI: 10.1142/S0219635214500149 6. Visual MMN elicited by orientation changes of faces Wei Wang<http://www.worldscientific.com/action/doSearch?Contrib=Wang%2C+W>, Danmin Miao<http://www.worldscientific.com/action/doSearch?Contrib=Miao%2C+D>, Lun Zhao<http://www.worldscientific.com/action/doSearch?Contrib=Zhao%2C+L> DOI: 10.1142/S0219635214500137 7. MEG localization of spike sources in human patients with brain tumors T. Birbilis<http://www.worldscientific.com/action/doSearch?Contrib=Birbilis%2C+T>, P. Anninos<http://www.worldscientific.com/action/doSearch?Contrib=Anninos%2C+P>, I. Seimenis<http://www.worldscientific.com/action/doSearch?Contrib=Seimenis%2C+I>, A. Adamopoulos<http://www.worldscientific.com/action/doSearch?Contrib=Adamopoulos%2C+A>, A. Kotini<http://www.worldscientific.com/action/doSearch?Contrib=Kotini%2C+A> DOI: 10.1142/S0219635214500150 8. Effects of temperature on simulated electrotonic potentials and their current kinetics of human motor axons at 20°C–42°C D. I. Stephanova<http://www.worldscientific.com/action/doSearch?Contrib=Stephanova%2C+D+I>, M. Daskalova<http://www.worldscientific.com/action/doSearch?Contrib=Daskalova%2C+M> DOI: 10.1142/S0219635214500095 9. Color properties of the motion detectors projecting to the goldfish tectum: I. A color matching study Vadim Maximov<http://www.worldscientific.com/action/doSearch?Contrib=Maximov%2C+V>, Elena Maximova<http://www.worldscientific.com/action/doSearch?Contrib=Maximova%2C+E>, Ilija Damjanović<http://www.worldscientific.com/action/doSearch?Contrib=Damjanovi%C4%87%2C+I>, Paul Maximov<http://www.worldscientific.com/action/doSearch?Contrib=Maximov%2C+P> DOI: 10.1142/S0219635214500113 10. Neural mechanisms underlying conflict monitoring over risky decision alternatives: Evidence from ERP in a Go/Nogo task Shuzhen Wang<http://www.worldscientific.com/action/doSearch?Contrib=Wang%2C+S>, Ning Hui<http://www.worldscientific.com/action/doSearch?Contrib=Hui%2C+N>, Xinsheng Zhou<http://www.worldscientific.com/action/doSearch?Contrib=Zhou%2C+X>, Kaifeng He<http://www.worldscientific.com/action/doSearch?Contrib=He%2C+K>, Yuanyuan Yu<http://www.worldscientific.com/action/doSearch?Contrib=Yu%2C+Y>, Jing Shuai<http://www.worldscientific.com/action/doSearch?Contrib=Shuai%2C+J> DOI: 10.1142/S0219635214500101 "The only journal that combines mathematical neuroscience and experimental brain research for the advancement of a well-grounded theoretical neuroscience." --Gilbert A. Chauvet, Chief Editor, Journal of Integrative Neuroscience, 2002-2007 Indexed in: Index Medicus MEDLINE PubMed Biosis Previews Biological Abstracts INSPEC Science Citation Index Expanded ------- Roman R. Poznanski Professor Laboratory of Biological Modeling The Rockefeller University 1230 York Avenue New York, NY 10065-6399 Office: (212) 327-7646 E-mail: rpoznanski(a)rockefeller.edu http://romanpoznanski.blogspot.com and Chief-Editor, Journal of Integrative Neuroscience http://www.worldscinet.com/jin/mkt/editorial.shtml

Aug. 23, 2014

MSc program in Neural Systems and Computation - University of Zurich and ETH Zurich

by Michael Pfeiffer

We are inviting applications for the MSc program in Neural Systems and Computation, an interdisciplinary program offered as a Joint Master Program by the University of Zurich and ETH Zurich, Switzerland. The program offers a theoretical and laboratory training in neural computation and systems neuroscience. It offers hands-on knowledge of data gathering, analysis and scientific presentation. Students join an international and interdisciplinary research community with expertise in neuroinformatics, advanced experimental techniques and neuromorphic engineering. Further information can be found on our homepage http://www.nsc.uzh.ch. We offer a specialized full-time Masters program open to students with a Bachelor’s degree in the following disciplines: neurosciences, information technology, electrical engineering, biology, physics, computer sciences, chemistry, mathematics, and mechanical/chemical/control engineering. The core courses (all offered in English) provide a common foundation for students with different educational backgrounds, and cover the following: 1. Systems Neurosciences 2. Neural Computation and Theoretical Neuroscience 3. Neurotechnologies and Neuromorphic Engineering The application deadline for students starting in Spring Semester 2015 is *September 15th 2014*. Details about the application process and required documents can be found here: http://www.nsc.uzh.ch/?page_id=10 The program is affiliated with the Mathematics and Natural Sciences Faculty (MNF) at the University of Zurich (UZH) and the Information Technology and Electrical Engineering Department (D-ITET) of the ETH Zurich. All applications are handled by the University of Zurich. Application documents should be sent to nsc(a)ini.uzh.ch. Michael Pfeiffer -- ========================================= Dr. Michael Pfeiffer Postdoc, Director of Studies NSC Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 CH-8057 Zurich, Switzerland Tel. +41 44 635 30 45 Fax +41 44 635 30 53 pfeiffer (at) ini.phys.ethz.ch http://www.ini.uzh.ch/~pfeiffer/ =========================================

Aug. 22, 2014

PhD position available at VU University Medical Center in Amsterdam

by Andre Marquand

Please see below for a PhD Vacancy at the VU University Medical Centre in Amsterdam for employing pattern recognition methods for neuroimaging data analysis. ----------------------------------------------------------- The project The focus of the proposed PhD project is two-fold; First, the PhD student will will employ advanced computational and statistical methods to evaluate the prognostic value of neuroimaging modalities, biomarker, genetic, environmental and clinical characteristics and their combination to classify the course of depression and anxiety. A second part of the project focuses on employing these methods to disentangle phenotypic heterogeneity of depression by identifying different subtypes based on a rich set of neuroimaging and clinical data and biological protein information, and by exploring the genetic basis of different subtypes and their association with course of depression and treatment response. For these purposes, you will work with data from the Netherlands Study of Depression and Anxiety (www.nesda.nl) in which an extensive battery of detailed longitudinal clinical, biomarker, neuroimaging and genetic data have been collected in a large cohort. You will also work with similar data from other international cohorts, and with data from the MOTAR study (www.motar.nl) in which the effects of antidepressant and running treatments are examined. This project will integrate across these data-sources using a variety of methods, including the application of supervised and unsupervised machine learning techniques. You will be involved in the processing of neuroimaging data (structural MRI, functional MRI), associating these data with biomarker, clinical and genetics information and using machine learning methods to classify the patients. You will be working in a multidisciplinary team with young and enthusiastic researchers, who have expertise in psychiatry, genetics, neuroimaging, statistics/engineering and epidemiology. Your challenge As a PhD Student your main tasks and responsibilites are: • Help examine predictors of the naturalistic course and treatment response in depression and anxiety; • Identifying subtypes of depression and anxiety based on multimodal data sources; • Apply unsupervised and supervised machine learning methods, such as Support Vector Machine and/or probabilistic methods, to genetic, multi-modal neuroimaging, clinical and environmental data from the NESDA study, the MOTAR study and other international cohorts; • Write various scientific papers on the above topics, and complete your research with a PhD thesis. Your profile We are looking for a highly motivated and enthusiastic researcher with a strong interest in psychopathology who has the following background and experience: • A strong numerate background (i.e. a Master's degree in computer science, mathematics, engineering, medical image analysis or related discipline), preferably with emphasis on machine learning, pattern classification, and/or multivariate image analysis; • Experience with neuroimage analysis or with (bio) statistics is desirable; • You have excellent statistical and strong computer programming skills (good command of LINUX, scripting, and Matlab); • You have excellent communications skills in English, both written and verbal; • Having experience in writing (international) publication(s) is a plus. Benefits Salary Scale: OIO (EUR 2.200 in the first year that increases to EUR 2.818 gross per month in the fourth year, based on 36 hours per week). We also offer a set 8.3% end-of-year bonus and 8% holiday pay. For more information about our fringe benefits, please visit http://www.werkenbijvumc.nl/vumc/arbeidsvoorwaarden/ (Dutch version). The PhD position is for four years, you will start with a contract for 12 months. Additional information The Department of Psychiatry of the VU University Medical Center (VUMC) and GGZ inGeest collaborately conduct research, education and academic patient care. The main focus is on depression and anxiety disorders, two common psychiatric disorders with high public health impact. Psychiatric research is embedded in two VU research institutes: EMGO+ and Neuroscience Campus Amsterdam. In this research area more than 150 persons from different disciplines (e.g. psychiatry, psychology, health science) collaborate. Interested? For more information you can contact dr. Lianne Schmaal, via telephone number: +31(0)20 – 788 4592. For more information about the application procedure you can contact mr. Wessel Haytink, recruiter, via telephone number: +31(0)6 – 1066 7718. Please submit your candidacy by latest September 7, 2014 with reference number D2.2014.00077WH via the following link: http://bit.ly/PhDMachineLearning

Aug. 21, 2014

Postdoctoral Research Fellow in Computational Brain Modeling and Neural Engineering

by Mark Kramer

A multi-year postdoctoral researcher position in computational neuroscience is available immediately through a collaboration of Massachusetts General Hospital and Boston University. The fellow will be tasked to build neural models capable of simulating and predicting human neural dynamics within and among a network of cortical and subcortical areas. These models will inform the design of adaptive “closed loop” stimulation to treat psychiatric disorders. The researcher will work with an interdisciplinary team of clinical and computational researchers at Harvard Medical School, Massachusetts General Hospital, and Boston University to focus on three central aims: 1) Develop a mean-field computational model of human cortical and subcortical regions, 2) Simulate the impact of electrical stimulation on the model dynamics, 3) Implement data assimilation procedures to link in vivo brain voltage recordings from individual patients to the computational model variables and parameters. Experience in statistics (e.g., parameter estimation, Kalman filtering, particle filtering) and computer programming in MATLAB and C-like languages are required. Knowledge of neuroscience and models of neural population activity are preferred, and we will preferentially interview candidates with prior work in neural simulation or experimental neuroscience. This opportunity is available immediately, and candidates currently available to begin work will be preferred. However, we are happy to negotiate start terms for outstanding candidates. To apply, or for more information about the position, please send an email to Drs. Mark Kramer (mak(a)bu.edu) and Alik Widge (awidge(a)partners.org) Please include an updated CV, names and contact information of three references, and a brief statement of your interest in the position and relevant qualifications. Applications from women and representatives of minority groups are encouraged. See also: http://www.nature.com/naturejobs/science/jobs/446865-postdoctoral-research-… -------- Mark A. Kramer Prof. Math & Stats, BU http://math.bu.edu/people/mak/

Aug. 20, 2014

[COSYNE2015] Call for workshop proposals

by Tomas Hromadka

================================================================== Computational and Systems Neuroscience (Cosyne) 2015 MAIN MEETING WORKSHOPS Mar 5 - Mar 8, 2015 Mar 9 - Mar 10, 2015 Salt Lake City, Utah Snowbird Ski Resort, Utah http://www.cosyne.org ================================================================== ------------------------------------------------------------------ CALL FOR WORKSHOP PROPOSALS ------------------------------------------------------------------ PROPOSAL DEADLINE: November 21, 2014. PRE-PROPOSALS: In an effort to coordinate submissions, the organizers are encouraged to submit a pre-proposal by October 31, 2014. Pre-proposals will be shared among submitters. Pre-proposals are requested but not required. The organizers may submit the full proposal by its deadline. A series of workshops will be held after the main Cosyne meeting (http://www.cosyne.org) The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at http://www.cosyne.org/c/index.php?title=Workshops) Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Please note that in an effort to enhance the distinctions between workshops, speakers will be asked to commit to only 1-2 workshops. If need be, workshop chairs will work with overcommitted speakers prior to final workshop acceptances to reduce overlap. WORKSHOP DETAILS: - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8:00-11:00 AM) and afternoon (4:30-7:30 PM) sessions. - Workshops will be held at Snowbird, a ski resort located 30 miles (typically less than an hour) from the Salt Lake City airport. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS: Deadline for pre-proposals: October 31, 2014 Deadline for proposals: November 21, 2014 Format: plain text only -- please no attachments, email to: cosyne15workshops(a)googlegroups.com (Claudia Clopath, Robert Froemke) PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the largest fraction of confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs 2 days, please explain why. - A brief resume of the workshop organizer along with a short list of workshop-relevant publications (about half a page total). PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS: Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. WORKSHOP COSTS: Detailed registration costs, etc., will be available at cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complementary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2015 WORKSHOP CHAIRS: Claudia Clopath (Imperial College London) and Robert Froemke (New York University). QUESTIONS: email: cosyne15workshops(a)googlegroups.com

Aug. 20, 2014

Postdoc Position in Sleep and Cognition Lab

by Sara C. Mednick

The Sleep and Cognition (SaC) Lab of the Department of Psychology at the University of California, Riverside has an open position for a postdoc researcher. This researcher will be investigating mechanisms of memory encoding, consolidation, and retrieval by using event-related potential (ERP/EEG) during waking and sleep. Successful candidates should have experience in memory research and EEG methodologies, as well as programming skills. Experience in sleep research is not essential. Position is available immediately. Researchers must possess a doctoral degree. The University of California offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. Please send your CV, statement of research interests and the names of three references or make inquires to Sara C. Mednick smednick(a)ucr.edu. -- Assistant Professor University of California, Riverside Department of Psychology Sleep and Cognition (SaC) Lab www.saramednick.com www.sleepandcognitionlab.org TEDx Talk <http://www.youtube.com/watch?v=MklZJprP5F0> Amandla awethu!

Aug. 20, 2014

[meetings] Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2015)

by Stephan Chalup

CfP: Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2015), 5-7 February 2015, The University of Newcastle, Australia http://www.newcastle.edu.au/ACALCI2015<http://newcastle.edu.au/ACALCI2015> PAPER DEADLINE: 12 September 2014 (extended) NOTIFICATION OF ACCEPTANCE: 15 October 2014 PAPER FORMAT: 6-14 pages in Springer LNAI style PUBLICATION: Springer-Verlag LNAI are indexed by Scopus, Zentralblatt MATH, IO-Port, MathSciNet, ACM Digital Library, dblp, EI Engineering Index (Compendex and Inspec databases), and the ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science. A special issue in the journal Connection Science will invite authors of some of the best papers to submit extended versions of their articles. CONFERENCE TOPICS: ACALCI 2015 will be organised in broad technical sessions that bring together experts from many different fields related to Artificial Life and Computational Intelligence. The forum also encourages associated applied research in domains as diverse as health, the creative arts and finance (to name a few). In this context ACALCI encourages presentations, demonstrations, performances and discussions on innovative research and interdisciplinary projects. WORKSHOPS, TUTORIALS and PERFORMANCES: If you would like to organise a workshop, tutorial or performance in connection with ACALCI2015 please contact the organisers as soon as possible. CONFERENCE WEBPAGE: http://www.newcastle.edu.au/ACALCI2015<http://newcastle.edu.au/ACALCI2015> ----------------------- Stephan Chalup, PhD http://www.newcastle.edu.au/profile/stephan-chalup

Aug. 19, 2014

Databrary.org seeks web developer for open source data sharing project

by Rick Gilmore

** Web Developer for Databrary.org ** About Databrary Databrary is a first-of-its-kind web-based data library where scientists who collect and analyze video can store and share their data openly with other researchers. The project is based at New York University (NYU) and Penn State. It has grant support from the U.S. National Science Foundation (NSF) and the National Institutes of Health (NIH). The overall goal is to accelerate the pace of discovery, improve scientific transparency and accountability, and transform research practices in psychology and developmental science. We are growing a team to design and build new open source solutions for science using the latest technologies. Web Developer position description The Databrary project seeks a motivated and flexible developer to help build a unique web-based data library. You will work with users and a small group of developers to design and build the front end UI and back end tools to enable behavioral researchers to collaborate, store, explore, and access research datasets in ways not possible with any existing tool. The ideal candidate will relish the challenge of building a uniquely powerful set of research tools while working on a small team in a diverse and intellectually stimulating academic environment. Responsibilities - Implement dynamic, modular, and responsive web interfaces to organize, present, and manipulate research materials. - Design, implement, test, and validate JavaScript across browsers and platforms. - Integrate feedback from UI experts and researchers (users) to identify and prioritize new features. - Learn, understand, and reorganize research data as needed for better integration with the site. Qualifications - Background in CS or other relevant field and 3+ years programming experience. - Knowledge of AngularJS or other modern web application frameworks. - Extensive experience with jQuery, JSON, HTML5, and CSS3. - Familiarity with standard UNIX development tools such as git. - Understanding of security and ethical concerns around sensitive data. Preferred - History of contributions to open source projects. - Comfortable with discussing and addressing UX/UI design issues. - Experience using RESTful interfaces for structured data. - Sensitive to performance considerations building big data interfaces. - Basic understanding of scientific practices and research tools, such as Matlab, SPSS, or R. To apply - Send the following to jobs(a)databrary.org: - One page cover letter (PDF). - Resume (PDF). - Links to your open source contributions or other samples of your work.

Aug. 19, 2014

IU Cognitive Science Faculty Search

by Olaf Sporns

Assistant Professor - Embodied Cognitive Science Cognitive Science Program Indiana University The Cognitive Science Program at Indiana University seeks a tenure track junior level appointment in the area of embodied cognitive science. Successful applicants will take a leadership role in the ongoing development of embodied cognition as a research and teaching focus of the program. Indiana University has a strong history in this area, ranging from theoretical foundations to computational and robotics modeling, to experimental approaches in developmental psychology and neuroscience. Although the emphasis of the position is on computational and/or robotic modeling approaches to problems in embodied cognition, candidates are expected to engage with the breadth of experimental programs and philosophical discussion that make up this interdisciplinary research area. Applicants should have a Ph.D. in Cognitive Science, Computer Science or a closely related field and will join the faculty of a department or school on the Bloomington campus appropriate to their specific background. Applicants are expected to have a record that demonstrates an excellent potential in the areas of research and teaching. Interested candidates should review the application requirements and submit their applications athttps://indiana.peopleadmin.com/postings/1006. Questions regarding the position or application process can be directed to Randall Beer, Cognitive Science Search Committee, 819 Eigenmann, 1900 E. 10th St., Indiana University, Bloomington, IN 47406-7512 orcogsrch(a)indiana.edu. Review of applications will begin on November 1, 2014 and will continue until the position is filled. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, disability status or protected veteran status. Applications from women and minority group members are especially encouraged. Information about the program and the university is available athttp://www.cogs.indiana.edu/. -- Olaf Sporns -- @spornslab Department of Psychological and Brain Sciences Programs in Neuroscience and Cognitive Science Indiana University Bloomington, IN 47405

Aug. 19, 2014

Tenure-track faculty position in computational neuroscience

by Adam Kohn

The Albert Einstein College of Medicine, one of the leading medical schools in New York City, is seeking to fill multiple tenure track faculty positions in the newly formed Department of Systems and Computational Biology. Established in April 2008, the main goal of the new department is to advance our understanding of living systems by developing theoretical, computational and experimental approaches to study complex biological systems. The Albert Einstein College of Medicine, has 750 medical students, 325 graduate students and 360 post-doctoral fellows in training and boasts a strong research faculty covering broad areas of experimental biology, offering outstanding opportunities for collaborative interactions. The 200,000 square foot Price Center for Genetic and Translational Medicine at Einstein, which opened in late 2007, locates computational, systems, and experimental scientists in physical proximity to foster interdisciplinary communication and collaboration. Highly competitive start-up packages are available. We seek outstanding scientists with broad experience and demonstrated collaborative interactions with experimental or clinical investigators. Candidates should have strength in a physical, mathematical or computational field at the Ph.D. or equivalent level. Experience applying these skills to a biological or biomedical area (demonstrated through publications or support) is also required. Areas of interest that would be advantageous, but not required, are: Systems and Computational Neuroscience — visual processing, cortical computation, or population coding; Systems Evolutionary Biology; and Mathematical and Computational Modeling of Complex Traits. Applicants should send a letter of interest, C.V., statement of research and teaching interests, and names of three referees, in electronic format to: Systems and Computational Biology Search Committee Albert Einstein College of Medicine Jack and Pearl Resnick Campus 1300 Morris Park Ave. Price Center, Rm. 153 Bronx, New York 10461 E-mail Address: sysbio(a)einstein.yu.edu Subject line should be: SCB Faculty Search Yeshiva University is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans.

Aug. 19, 2014

2nd Call for Abstracts for the 7th Int'l Workshop on Guided Self-Organisation (Freiburg, Dec 16-18, 2014)

by Joschka Boedecker

<apologies for possible cross-posting> Dear colleagues, This is the 2nd Call for Abstracts for the Seventh International Workshop on Guided Self-Organisation (GSO-2014) to be held from December 16-18, 2014 in Freiburg, Germany. http://ml.informatik.uni-freiburg.de/events/gso14/index The workshop will bring together researchers from a richly diverse background who share interest in understanding and designing self-organising systems. Of particular interest are well-founded, but general methods for characterizing such systems in a principled way with the view of ultimately allowing them to be guided toward prespecified goals. Information theory, nonlinear dynamics and graph theory are core to many of these methods, and quantifying complexity and its sources is a common theme. This year, the workshop is organised in collaboration with the BrainLinks-BrainTools cluster of excellence at University of Freiburg ( https://www.brainlinks-braintools.uni-freiburg.de/ ), and one focus theme will be guided self-organisation in neural systems. Submissions to the workshop are extended abstracts (one-two pages). If interested in participating, send an extended abstract (by September 7th, 2014) by email to: jboedeck at informatik dot uni-freiburg dot de The notifications are expected by September 21st, 2014. Authors of accepted submissions will present the content to the workshop (scheduled 30 minutes presentation). It is expected that post-workshop publication of selected papers will follow in a special journal issue (as has been the case for previous GSO workshops). Please consult the website above and also http://guided-self.org/ for more information. Best wishes, Joschka Boedecker Mikhail Prokopenko Martin Riedmiller

Aug. 19, 2014

PhD Positions Combining Robotics and Neuroscience at the Queensland University of Technology

by Michael Milford

Several PhD positions are available to work on a challenging interdisciplinary research project spanning neuroscience, robotics and computer vision. Project summary: Current robotic and personal navigation systems leave much to be desired; GPS only works in open outdoor areas, lasers are expensive and cameras are highly sensitive to changing environmental conditions. In contrast, nature has evolved superb navigation systems. This project will solve the challenging problem of place recognition, a key component of navigation, by modelling the visual recognition skills of humans and the rodent spatial memory system. This approach combines the best understood and most capable components of place recognition in nature to create a whole more capable than its parts. The project will produce advances in robotic and personal navigation technology and lead to breakthroughs in our understanding of the brain. This project is a strongly interdisciplinary one spanning neuroscience, robotics and computer vision and candidates will require experience or a skill set that facilitates this interdisciplinary approach - such as a strong background in computer science with an interest in neuroscience, or a neuroscientist / biologist with strong math and coding skills. PhD candidates will have the very challenging but rewarding task of achieving research breakthroughs that impact multiple disciplines simultaneously, as well as producing innovative technologies based on these breakthroughs. Project Collaborators and Support The project will involve collaboration with leading neuroscientists, roboticists, biologists and computer vision researchers at top international universities including Harvard University and Boston University, as well as local collaborators including The University of Queensland. PhD candidates will pursue an independent interdisciplinary research agenda but will have access to researchers from several major robotics and computer vision initiatives based at QUT, including the Australian Research Council Centre of Excellence in Robotic Vision. How to Apply To apply please go to: https://wiki.qut.edu.au/display/cyphy/Applications+Milford. Scholarships and top-ups are available for high quality applicants. Or contact: Dr Michael Milford: https://wiki.qut.edu.au/display/cyphy/Michael+Milford School of Electrical Engineering and Computer Science Queensland University of Technology Phone: +61 7 3138 9969 | E-mail: michael DOT milford(a)qut.edu.au Michael Milford |ARC Future Fellow | Microsoft Faculty Fellow | Senior Lecturer | Electrical Engineering and Computer Science Science and Engineering Faculty | Queensland University of Technology S Block, Room S1110, Gardens Point Campus ph 3138 9969 | email michael.milford(a)qut.edu.au<mailto:c.degroot@qut.edu.au> CRICOS No 00213J * Recent Publications * * Visual Place Recognition Under Extreme Perceptual Change - "SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights", International Conference on Robotics and Automation, link http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6224623 * Navigating without GPS, using only a web camera - "Mapping a Suburb with a Single Camera using a Biologically Inspired SLAM System", IEEE Transactions on Robotics, link http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4627450 * Continual mapping and navigation over a 2 week office delivery robot experiment - "Persistent Navigation and Mapping using a Biologically Inspired SLAM System", International Journal of Robotics Research, http://ijr.sagepub.com/content/29/9/1131.abstract * Combining robotics, neuroscience and animal navigation to manage uncertainty when navigating - "Solving Navigational Uncertainty Using Grid Cells on Robots", PLoS Computational Biology, http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000995 More information available at: https://wiki.qut.edu.au/display/cyphy/Michael+Milford Google Scholar Profile: http://scholar.google.com/citations?user=TDSmCKgAAAAJ&hl=en

Aug. 19, 2014

Neurocomputing special issue CFP

by Zhijun Yang

Dear Colleagues, Sorry for any possible cross communications. May we draw your attention to a Neurocomputing special issue CFP: Advances on Biological Rhythmic Pattern Generation: Experiments, Algorithms and Application. The full announcement can be found as an internet link below. http://www.journals.elsevier.com/neurocomputing/call-for-papers/special-iss… Instructions for submission: • The submission website for Neurocomputing is located at: http://ees.elsevier.com/neucom/default.asp • To ensure that all relevant manuscripts are correctly identified for inclusion into this special issue, it is important that authors select SI: Creating Biology Rhythm when reaching the “Article Type” step in the submission process. We look forward to receiving your contributions to what promises to be an exciting special issue. Best regards, Zhijun Yang -- Zhijun Yang, BEng, MSc, PhD, Lecturer in Design Engineering Department of Design Engineering and Mathematics School of Science and Technology Middlesex University, London NW4 4BT, UK Voice: +44 (0)7882681333

Aug. 16, 2014

Bernstein Conference 2014 - online registration ends August 24

by Kerstin Mosch

Aug. 14, 2014

Graduate studies in the neuroscience of decision-making

by Paul Cisek

Graduate studies in the neuroscience of decision-making Department of neuroscience, laboratory of Paul Cisek Applications are invited for a master's or doctoral studentship in cognitive neuroscience. The successful applicant will join a research group studying the neural mechanisms of decision-making in humans and non-human primates using a combination of computational and experimental techniques. Research in our laboratory involves computational models of the nervous system as well as behavioral experiments, transcranial magnetic stimulation, functional magnetic resonance imaging, and multi-electrode recording from the cerebral cortex and subcortical regions. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop theoretical models of neural systems, prepare manuscripts for publication, and participate in international conferences. See www.cisek.org/pavel for information on current projects and a list of sample publications. While students with a strong background in mathematics, computer science, or biological sciences are particularly encouraged to apply, all motivated students with an interest in understanding the brain will be considered. The successful applicant will receive a competitive salary in accordance with university guidelines. For further information, please contact Dr. Paul Cisek (paul.cisek(a)umontreal.ca) Applicants are asked to submit a cover letter, curriculum vita, copies of academic transcripts, and the names and contact information of 2 references, to: Dr. Paul Cisek Department of neuroscience University of Montréal C.P. 6128 Succursale Centre-ville Montréal, QC H3C 3J7, CANADA Phone: 514-343-6111 x4355 Web: www.cisek.org/pavel email: paul.cisek(a)umontreal.ca Applications will be accepted until the position is filled, but preference will be given to applications received before August 31, 2014. Interviews may be possible at the Bernstein conference (Göttingen, Sept 2-5, 2014, http://www.bernstein-conference.de/) the INT neuroscience conference (Marseille, Oct 2-3, 2014, http://www.int.univ-amu.fr/2nd-colloque-de-l-INT) or the Society for Neuroscience meeting (Washington DC, November 15-19, 2014, http://www.sfn.org/annual-meeting/neuroscience-2014) Montréal is consistently rated as one of the world's most livable cities and has been called "Canada's Cultural Capital". It has the highest number of university students per capita in the continent, with more than 17,000 foreign students from 150 countries and among the lowest tuition fees in North America. Montréal's vibrant neuroscience community spans four major universities (University of Montréal, McGill University, Concordia University, and the University of Québec at Montréal) and the Montréal Neurological Institute. The University of Montréal is the largest university in Québec and the second largest in Canada, with over 55,000 students and 10,000 employees. Deeply rooted in Montréal and dedicated to its international mission, the Université de Montréal is one of the top universities in the French-speaking world. The University of Montréal is a French-speaking institution, and most coursework is in French. However, the master's or PhD thesis can be written in French or English. ----------------------------------------------- Paul Cisek, Ph.D. Groupe de recherche sur le système nerveux central Département de neuroscience, local 4117 Université de Montréal C.P. 6128 Succursale Centre-ville Montréal QC H3C 3J7 Canada Tél: 514-343-6111 x4355 Fax: 514-343-2111 e-mail: paul.cisek(a)umontreal.ca -----------------------------------------------

Aug. 13, 2014

3 open PhD psoitions at the Neuroinformatics Lab at the Institute of Cognitive Science, University of Osnabrück, Germany

by Prof. Dr. Gordon Pipa

The Neuroinformatics Research Group (Prof. Dr. Gordon Pipa) of the Institute of Cognitive Science invites applications for 3 Research Assistants (PhD student level), (Salary level E 13 TV-L 50%) to be filled as soon as possible for a period of three years. The position allows for further scientific qualification. We invite applicants that are interested in research in Neuroinformatics, with an emphasis on dynamical systems, machine learning, virtual reality, computational linguistics and electrophysiology. Candidates will participate in a highly international PhD program on cognitive science (with >40 currently enrolled students) and interdisciplinary research projects that can involve cooperation with other disciplines of our institute. Candidates should be highly motivated to understand the structure of neuronal coding and neuronal representations. To study this, we involve different research strategies that range from the development of highly sophisticated data analysis strategies, to modelling of neuronal processes on the level of recurrent networks. The qualification profile of the candidates can range from a purely mathematical neuroscientist, a dynamical systems researcher to interdisciplinary candidates that share interest in performing experiments with the virtual reality combined with EEG and sophisticated machine learning-based analysis of recorded activity (at http://ikw.uni-osnabrueck.de/en/ni/publications you find an overview of recent research topics). Description of Responsibilities: The successful candidate will be involved in several research projects that range from BSc to MSc projects. The position also involves teaching Cognitive Science courses at BSc and MSc level (2 hours/week). Required Qualifications: Candidates are expected to have an excellent academic degree (Master/diploma). Applicants should have an excellent knowledge in the field of machine learning, i.e. generalized linear and state space models, kernel methods, reservoir computing and deep learning. Experience or a strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and the concepts to study these, i.e. bifurcation and stability analysis, and delay- coupled differential equations, measurements of complexity, are encouraged. Experience or a strong interest in experimental methods such as EEG, and virtual reality are highly welcome. In addition, a strong interest or experience in the estimation of causal interactions from time series is welcome. As a certified family-friendly institution, Osnabrück University is committed to furthering the compatibility between work/studies and family life. As an employer, Osnabrück University is particularly concerned with creating equal opportunities for women and men. Women with relevant qualifications are therefore strongly encouraged to apply for the position. Preference will be given to women with equal qualifications. Furthermore, qualified applicants with disabilities will be favored. Applications with the usual documentation, including two letters of recommendation, should be submitted by e-mail in a single PDF file to the Director of the Institute of Cognitive Science (office(a)ikw.uni-osnabrueck.de) no later than 08.09.2014. An electronic copy should be sent to Prof. Dr. Gordon Pipa (gpipa(a)uni-osnabrueck.de) who can also be contacted for further information. ---------------------------------------------------------------------------- --- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 31/404 University of Osnabrueck Albrechtstr. 28, 49069 Osnabrueck, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: <mailto:gpipa@uos.de> gpipa(a)uos.de webpage: <http://www.ni.uos.de/> http://www.ni.uos.de research gate: <https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act> https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act google scholar: <http://scholar.google.de/citations?user=joR6mgEAAAAJ> http://scholar.google.de/citations?user=joR6mgEAAAAJ Personal Assistent and Secretary of the Neuroinformatics lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: <mailto:anna.jungeilges@uni-osnabrueck.de> anna.jungeilges(a)uni-osnabrueck.de visit us on <http://www.facebook.com/CognitiveScienceOsnabruck> http://www.facebook.com/CognitiveScienceOsnabruck <https://twitter.com/#!/CogSciUOS> https://twitter.com/#!/CogSciUOS

Aug. 13, 2014

Workshop on Stochastic Neural Computation in Paris

by Wolfgang Maass

I am organizing a Workshop on Stochastic Neural Computation on Nov.27 and 28, 2014 in Paris, at the European Institute for Theoretical Neuroscience. You are welcome to attend, and present a poster (if it fits into the context of this workshop). This will be a very informal "working" workshop, where we want to bring together experts from neuroscience, cognitive science, theory, and neuromorphic hardware, that are working on different angles of stochastic neural computation with biological or artificial spiking neurons. The talks will focus on new results. We will also have plenty of time to discuss open problems and challenges that arise. Possibly this meeting could mark the beginning of some loose research network around this exciting research topic. You can find a preliminary program at https://flagship.kip.uni-heidelberg.de/jss/Ag?eMAt=38&showAgenda=x&eKn=SCom… Information on the venue and hotel information is available at https://flagship.kip.uni-heidelberg.de/jss/Ag?eMAt=38&SiD=x&eKn=SComNo27 The participation is free, but prior registration by October 1 is required on https://flagship.kip.uni-heidelberg.de/jss/Ag?eMAt=38&eKrn=SComNo27 Under "Registration type" on the registration page you can indicate whether you want to present a poster (please send title and abstract to me per email). There will be no registration fee. best regards Wolfgang Maass -- Prof. Dr. Wolfgang Maass Institut fuer Grundlagen der Informationsverarbeitung Technische Universitaet Graz Inffeldgasse 16b , A-8010 Graz, Austria Tel.: ++43/316/873-5822 Fax ++43/316/873-5805 http://www.igi.tugraz.at/maass/Welcome.html

Aug. 13, 2014

Neural plasticity for rich and uncertain robotic information streams, abstract deadline extended 12th September.

by f.vandervelde＠utwente.nl

Dear All, We extended the abstract submission deadline for the research topic “Neural plasticity for rich and uncertain information streams”, hosted by Frontiers in Neurorobotics, due to requests. The new deadline is 12th of September. Note that the paper submission deadline remains unchanged (Jan 12, 2015). Description: Models of adaptation and neural plasticity are often demonstrated in robotic scenarios with heavily pre-processed and regulated information streams to provide learning algorithms with appropriate, well timed, and meaningful data to match the assumptions of learning rules. On the contrary, natural scenarios are often rich of raw, asynchronous, overlapping and uncertain inputs and outputs whose relationships and meaning are progressively acquired, disambiguated, and used for further learning. Therefore, recent research efforts focus on neural embodied systems that rely less on well timed and pre-processed inputs, but rather extract autonomously relationships and features in time and space. In particular, realistic and more complete models of plasticity must account for delayed rewards, noisy and ambiguous data, emerging and novel input features during online learning. Such approaches model the progressive acquisition of knowledge into neural systems through experience in environments that may be affected by ambiguities, uncertain signals, delays, or novel features. This research topic promises to unveil fundamental properties and dynamics of neural learning system that are naturally immersed in a rich information flow. We invite papers describing advances in robotic neural learning systems that model adaptation or plasticity with a rich and realistic stream of information. Abstract Submission Deadline (extended): Sep 12, 2014, Article Submission Deadline: Jan 12, 2015 Topic Editor(s): Andrea Soltoggio, Frank van der Velde Frontiers, a Swiss open-access publisher, recently partnered with Nature Publishing Group to expand its researcher-driven Open Science platform. Frontiers articles are rigorously peer-reviewed, can be disseminated freely and are widely read by your colleagues and by the broader scientific and medical research communities. The idea behind a research topic is to create an organized, comprehensive collection of several contributions, as well as a forum for discussion and debate. Contributions can be articles describing original research, methods, hypothesis & theory, opinions, etc. We have created a homepage on the Frontiers website (Frontiers in Neurorobotics) where all articles will appear after peer-review and where participants in the topic will be able to hold relevant discussions: http://www.frontiersin.org/Neurorobotics/researchtopics/Neural_plasticity_f…. Frontiers will also compile an e-book, as soon as all contributing articles are published, that can be used in classes, be sent to foundations that fund your research, to journalists and press agencies, or to any number of other organizations. As such, a manuscript accepted for publication incurs a publishing fee, which varies depending on the article type. Research Topic manuscripts receive a significant discount on publishing fees. Please take a look at this fee table: http://www.frontiersin.org/about/PublishingFees. Once published, your articles will remain free to access for all readers, and will be indexed in PubMed and other academic archives. As an author in Frontiers, you retain the copyright to your own papers and figures. Should you choose to participate, please confirm by sending me a quick email and then your abstract no later than Sep 12, 2014 using the following link:http://www.frontiersin.org/Neurorobotics/researchtopics/Neural_plastic… With best regards, Frank van der Velde and Andrea Soltoggio Guest Associate Editors, Frontiers in Neurorobotics www.frontiersin.org

Aug. 13, 2014

Seeking community input for Neurodata Without Borders

by Jeff Teeters

Dear Colleague, The Neurodata Without Borders (NWB) project has just started. The project goal is to build a common data format for neurophysiology data from Allen Brain Institute, Janelia Farm and two labs from NYU and Caltech. Although focusing on a limited set of use cases, the project also aims to develop products that will serve the broader community. At this point we would like to solicit community input about ideas/approaches for designing a generalizable neurophysiology data format. If you are interested in contributing to this project, please review the project description at: https://crcns.org/NWB and fill out the questionnaire: https://docs.google.com/forms/d/1CNTd4M-8kQ_WhEZc7n7WxpTa0LOupt_q3z21E1fRxj… On the basis of the questionnaire responses and ensuing communication, we will organize the first hackathon meeting of the project, to be held November 20 – 22, 2014 (just after SfN) at Janelia Farm, in Ashburn, Virginia. At this hackathon we will discuss in detail the requirements for a common format based on the project use cases and also discuss, compare and evaluate alternative techniques for implementing the common format. More information about the project is available in a recent press release: http://www.kavlifoundation.org/kavli-news/prominent-us-research-institution… Please forward this email to anyone you know with relevant expertise who may be interested in contributing to this project. Thank you, Fritz Sommer and Jeff Teeters Redwood Center for Theoretical Neuroscience UC Berkeley

Aug. 13, 2014

DEADLINE EXTENDED: 8th International Conference on Bio-inspired Information and Communications Technologies (BICT 2014, formerly BIONETICS)

by Jun Suzuki

CFP: 8th International Conference on Bio-inspired Information and Communications Technologies (BICT 2014, formerly BIONETICS) http://www.bionetics.org/ Paper submission deadline extended: September 1, 2014 December 1 (Mon) - December 3, 2014 (Wed) Boston, MA, USA In-corporation with ACM BICT 2014 aims to provide a world-leading and multidisciplinary venue for researchers and practitioners in diverse disciplines that seek the understanding of key principles, processes and mechanisms in biological systems and leverage those understandings to develop novel information and communications technologies (ICT). BICT 2014 targets two thrusts: THRUST 1: Indirect/Weak Bioinspiration (ICT designed after biological principles, processes and mechanisms). Examples include evolutionary computation, artificial gene regulatory networks, neural computation, swarm intelligence, cellular automata, artificial immune systems, artificial life, artificial chemistry, reaction-diffusion computing, simulated annealing, self-organization and network science. THRUST 2: Direct/Strong Bioinspiration (ICT utilizing biological materials and systems). Examples include cellular computing, molecular computing/communication, membrane computing, DNA computing and memory, bacterial computing, Physarum computing and quantum computing. Expected, but not exclusive, topics are: * Signal/information processing and communication for bio-inspired ICT * Algorithms and their applications for bio-inspired ICT * Formal models and methods for bio-inspired ICT * Bio-inspired software and hardware systems * Modeling, simulations and empirical experiments of bio-inspired ICT * Self-* and stability properties in bio-inspired ICT * Security, robustness and resilience in bio-inspired ICT * Design, configuration and management issues in bio-inspired ICT * Software engineering and performance engineering in bio-inspired ICT * Tools, testbeds and deployment aspects in bio-inspired ICT * Applications, experiences and standardization of bio-inspired ICT * Socially-aware, game theoretic and other metaphor-assisted interdisciplinary research Application domains include, but not limited to, autonomic computing, bioinformatics, biomedical engineering, computer networks, computer vision, data mining, e-health, green computing and networking, grid/cloud computing, intelligent agents, mechanical engineering, molecular communication, nano-scale computing and networking, optimization, pervasive computing, robotics, security, social networks, software engineering and systems engineering. IMPORTANT DATES: Regular paper submission due: September 1 Short and poster/demo paper submission due: September 22 Notification for regular papers: September 22 Notification for short and poster/demo papers: October 6 Camera ready due: October 13 SPECIAL TRACKS: In addition to the regular track that covers general/mainstream topics, BICT 2014 features the following special tracks that focus on specific, emerging or underrepresented topics. * Artificial, Biological and Bio-Inspired Intelligence (ABBII) * Artificial Intelligence and Software Engineering (AISE) * Body Area Soft Computing (BASC) * Biologically-Inspired Process Calculi (BIPC) * Bio-Inspired Machine Vision (BIMV) * Bio-inspired/Biomimetic Microsystems & Microdevices (BMM) * Bio-inspired Wireless Network Security (BWNS) * Complex Adaptive Systems (CAS) * Engineering Applications from Molecular and Gene Regulatory Networks (EMNET) * Molecular Communication and Networking (MCN) * Morphogenetic Collective Systems (MCS) * Modularization for Practical Software Engineering (MPSE) * Resilient Networks (RN) * Swarm and Modular Robotics (SAMR) * Smart Body Area Networks (SBAN) * Security and Privacy in Bio-inspired Networks (SPBN) PAPER SUBMISSION: Authors are invited to submit regular papers (up to 8 pages each), short papers (up to 4 pages each) or poster/demo papers (up to 2 pages each) in ACM's paper template. Up to two extra pages are allowed for each paper with extra page charges. See http://bionetics.org/2014/show/initial-submission for more details. PUBLICATION: All accepted paper will be published through ACM Digital Library and submitted for indexing by SI, EI Compendex, Scopus, ACM Library, Google Scholar and many more. Selected papers will be considered for publication in leading journals including: * ACM/Springer Mobile Networks and Applications * Elsevier Information Sciences * Elsevier Nano Communication Networks Journal * Int'l Journal of Software Engineering and Knowledge Engineering * Cloud-integrated Cyber-Physical Systems (Springer book) KEYNOTE SPEAKERS: * Andrew Adamatzky, University of the West of England, Bristol, UK * Gabriel Ciobanu, Romanian Academy, ICS, Iasi, Romania * Andrew Eckford, York University, Canada * Valeriy Perminov, BioTeckFarm, Ltd., Russia * Hiroki Sayama, SUNY Binghamton, USA * Theresa Schubert, Bauhaus-Universität Weimar, Germany * Jon Timmis, University of York, UK * Honggang Wang, University of Massachusetts, Dartmouth, USA * Justin Werfel, Harvard University, USA GENERAL CHAIR: Jun Suzuki, University of Massachusetts, Boston, USA PC CHAIR: Tadashi Nakano, Osaka University, Japan PC VICE CHAIRS: Andrew Adamatzky, University of the West of England, UK Gabriel Ciobanu, Romanian Academy, Institute of Computer Science, Romania Douglas Dow, Wentworth Institute of Technology, USA Hiroaki Fukuda, Shibaura Institute of Technology, Japan Tyler Garaas, Mitsubishi Electric Research Laboratories, USA Preetam Ghosh, Virginia Commonwealth University, USA Isao Hayashi, Kansai University, Japan Yu-Hsiang Hsu, National Taiwan University, Taiwan Saori Iwanaga, Japan Coast Guard Academy, Japan Masao Kubo, National Defense Academy, Japan Paul Leger, Universidad Católica del Norte, Chile Shih-Hsi "Alex" Liu, California State University, Fresno, USA Michael L. Mayo, US Army Engineer Research and Development Center, USA Parisa Memarmoshrefi, University of Goettingen, Germany Marjan Mernik, University of Maribor, Slovenia Alan Millard, University of York, UK Michael Moore, USA Marc Pomplun, University of Massachusetts Boston, USA Florian Raudies, Boston University, USA Hiroshi Sato, National Defense Academy, Japan Hiroki Sayama, SUNY Binghamton, USA Tomohiro Shirakawa, National Defense Academy of Japan, Japan Jon Timmis, University of York, UK Athanasios Vasilakos, University of Western Macedonia, Greece Honggang Wang, University of Massachusetts Dartmouth, USA Jun Zhou, Shanghai Jiao Tong University, China

Aug. 12, 2014

Parallel computing workshop at SFN 2014 meeting

by Ted Carnevale

What: Using the Neuroscience Gateway Portal for Parallel Simulations A Satellite Symposium at the 2014 Society for Neuroscience Meeting Where: Location to be announced in downtown Washington, DC When: 9 AM - Noon on Saturday, November 15, 2014 Speakers to include: A. Majumdar, S. Sivagnanam, and T. Carnevale Registration deadline: Friday, October 31, 2014 This workshop is for neuroscientists who need to use parallel supercomputers for large modeling projects. With support from NSF, we have been developing the Neuroscience Gateway Portal (NSG) http://www.nsgportal.org/, which * provides free CPU time on NSF-supported high performance computing resources * has a browser-based interface that simplifies the tasks of uploading models, specifying job parameters, monitoring job status, and storing and retrieving output data * already has many widely-used simulatiors optimally installed and configured, including Brian, GENESIS3, NEST, NEURON, and PyNN The workshop will combine didactic presentations by NSG's developers, discussions with experienced users, and hands on instruction in how to use the portal. Come find out how the NSG can be useful in your own research! For more information and the online registration form see http://www.neuron.yale.edu/neuron/static/courses/nsg2014/nsg2014.html --Ted

Aug. 12, 2014

postdoctoral position, Deep Brain Stimulation in Parkinson's disease, IUPUI and Purdue University

by Leonid Rubchinsky

Postdoctoral opening in computational neuroscience The Department of Mathematical Sciences at Indiana University-Purdue University Indianapolis (IUPUI) invites applications for a postdoctoral position in the area of mathematical and computational neuroscience. The position is with a collaborative group of scholars from the Department of Mathematical Sciences at IUPUI, Weldon School of Biomedical Engineering at Purdue University and the Department of Neurosurgery of the Indiana University School of Medicine. The current research project is aimed at the development of adaptive deep brain stimulators for Parkinson's disease. Part of the duties may also include some teaching in the Mathematical Sciences. The position offers excellent interdisciplinary training possibilities in mathematical biology and computational neuroscience. Qualifications: Applicants are expected to have a Ph.D. in mathematics, physics, neuroscience, biomedical engineering, computer science or other related field. Applicants should have strong quantitative skills in data analysis and modeling and a strong interest in neuroscience applications. Experience in nonlinear dynamics/control theory/neurophysiology is a plus. How to apply: Send your CV with a list of publications, research statement, and arrange two-three recommendation letters to be sent to Dr. Leonid Rubchinsky via e-mail: leo(a)math.iupui.edu. Address all your inquiries to the same e-mail. Alternatively send your application by regular mail to: Dr. Leonid Rubchinsky, Department of Mathematical Sciences, IUPUI, 402 N. Blackford Street, LD 270, Indianapolis, IN 46202. Screening of applications will continue until position is filled. IUPUI is an EEO/AA Employer, M/F/D. *********************** Leonid Rubchinsky, PhD Associate Professor Department of Mathematical Sciences, Indiana University - Purdue University, Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202 leo(a)math.iupui.edu http://www.math.iupui.edu/~leo 317-274-9745 317-274-3460 (fax) ***********************

Aug. 12, 2014

Job offer: PhD student position

by Seeger, Simone

The Department of Theoretical Neuroscience (Head: Prof. Daniel Durstewitz) at the Central Institute of Mental Health (Mannheim) invites applications for a PhD student position (E 13 TV-L) (50% of the fulltime weekly hours) in the newly founded research group Data-driven network models of higher cognitive functions (Head: Dr. Joachim Hass) to be filled as soon as possible. The position is initially limited for 3 years. The research group develops biologically realistic computational neural network models of the neocortical structures such as the prefrontal cortex and the motor cortex. These models closely adhere to physiological data from both in vitro and in vivo experiments and are used to study higher cognitive functions such as time perception and working memory. The successful candidate will work in the project "The human mirror neuron system - measurement and beyond" funded by the Heidelberg Academy for Sciences and Humanities. The joint project of the Departments of Theoretical Neuroscience and Clinical Psychology of the Central Institute of Mental Health aims at a deeper understanding of the mirror neuron system in humans, which is thought to play a crucial role in social cognition by representing the emotions and intentions of others in the motor cortex. The project combines multimodal measurements (involving fMRI, EEG, transcranial magnetic stimulation and genotyping) with computational modeling. The Central Institute of Mental Health is an internationally renowned research institute for psychiatry and neuroscience as well as a clinic for psychiatry, psychotherapy and psychosomatics (part of the medical faculty of the University of Heidelberg). The research group closely interacts with neurobiologists and psychologists at the institute. The Department of Theoretical Neuroscience is focused on computational modeling and statistical data analysis of prefrontal cortex and hippocampus functions. It is one of the core research units of the Bernstein Center for Computational Neuroscience (BCCN) Heidelberg-Mannheim. Access to high-performance computing facilities is provided. Tasks: The project involves the development of a rate-based, brain-scale model as well as the further development of an existing spiking network model of the motor cortex. The resulting twostage model is then being adapted to the multimodal experimental data using stochastic optimization techniques. In particular, the effects of the transcranial magnetic stimulation and different levels of dopamine and oxytocin are to be implemented in the model and directly compared with the experimental data. Participation in the project organization and publication writing is also expected. It is also possible to participate in the analysis of the fMRI data. Requirements: The candidate should have a university degree (master or equivalent) in physics, mathematics, computer science, computational neuroscience or similar, a strong interest in neurobiological research and very good programming skills (ideally in MATLAB and C). Good communication skills in English as well as knowledge in nonlinear dynamics, numerical optimization or neural modeling are also required. Knowledge in neuroscience or experimental psychology is beneficial. Applicants should sent their application documents (cover letter including a brief description of personal qualifications and future research interests, CV and contact details of two personal references) to joachim.hass(a)zi-mannheim.de<mailto:joachim.hass@zi-mannheim.de>. Questions and informal discussions about the position are also welcome under this email address. The call is open until the position is filled. *** Simone Seeger, M.A. Administration Bernstein Center for Computational Neuroscience Zentralinstitut für Seelische Gesundheit Postfach 12 21 20, 68072 Mannheim J5, 68159 Mannheim Telefon: 0621/1703-1326 oder 06221/54-8310 Fax: 0621/1703-2915 E-Mail: Simone.Seeger(a)zi-mannheim.de<mailto:Simone.Seeger@zi-mannheim.de> Internet: http://www.bccn-heidelberg-mannheim.de<http://www.bccn-heidelberg-mannheim.de/> *** Simone Seeger, M.A. Administration Bernstein Center for Computational Neuroscience Zentralinstitut für Seelische Gesundheit Postfach 12 21 20, 68072 Mannheim J5, 68159 Mannheim Telefon: 0621/1703-1326 oder 06221/54-8310 Fax: 0621/1703-2915 E-Mail: Simone.Seeger(a)zi-mannheim.de<mailto:Simone.Seeger@zi-mannheim.de> Internet: http://www.bccn-heidelberg-mannheim.de<http://www.bccn-heidelberg-mannheim.de/>

Aug. 12, 2014

Call for Papers: IEEE Computational Intelligence Magazine (CIM) Special Issue: "Computational Intelligence for Changing Environments"

by Dr Amir Hussain

Call for Papers (Please also forward to any interested colleagues - with advance apologies for any cross-postings!) IEEE Computational Intelligence Magazine (CIM) (http://cis.ieee.org/ieee-computational-intelligence-magazine.html) Special Issue on "Computational Intelligence for Changing Environments" (Submission Deadline: 15 Nov 2014) (http://www.cs.stir.ac.uk/~ahu/IEEE-CIM-CICE2015.pdf) Guest Editors: Amir Hussain, Dacheng Tao, Jonathan Wu and Dongbin Zhao Aims and Scope: Over the past decade or so, computational intelligence techniques have been highly successful for solving big data challenges in changing environments. In particular, there has been growing interest in so called biologically inspired learning (BIL), which refers to a wide range of learning techniques, motivated by biology, that try to mimic specific biological functions or behaviors. Examples include the hierarchy of the brain neocortex and neural circuits, which have resulted in biologically-inspired features for encoding, deep neural networks for classification, and spiking neural networks for general modelling. To ensure these models are generalizable to unseen data, it is common to assume that the training and test data are independently sampled from an identical distribution, known as the sample i.i.d. assumption. In dynamic and non-stationary environments, the distribution of data changes over time, resulting in the phenomenon of ‘concept drift’ (also known as population drift or concept shift), which is a generalization of covariance shift in statistics. Over the last five years, transfer learning and multitask learning have been used to tackle this problem. Fundamental analyses using probably approximately correct (PAC) and Rademacher complexity frameworks have explained why appropriate incorporation of context and concept drift can improve generalizability in changing environments. It is possible to use human-level processing power to tackle concept drift in changing environments. Concept drift is a real-world problem, usually associated with online and concept learning, where the relationships between input data and target variables dynamically change over time. Traditional learning schemes do not adequately address this issue, either because they are offline or because they avoid dynamic learning. However, BIL seems to possess properties that would be helpful for solving concept drift problems in changing environments. Intuitively, the human capacity to deal with concept drift is innate to cognitive processes, and the learning problems susceptible to concept drift seem to share some of the dynamic demands placed on plastic neural areas in the brain. Using improved biological models in neural networks can provide insight into cognitive computational phenomena. However, a main outstanding issue in using computational intelligence for changing environments and domain adaptation is how to build complex networks, or how networks should be connected to the features, samples, and distribution drifts. Manual design and building of these networks are beyond current human capabilities. Recently, computational intelligence methods has been used to address concept drift in changing environments, with promising results. A Hebbian learning model has been used to handle random, as well as correlated, concept drift. Neural networks have been used for concept drift detection, and the influence of latent variables on concept drift in a neural network has been studied. In another study, a timing-dependent synapse model has been applied to concept drift. These works mainly apply biologically-plausible computational models to concept drift problems. Although these results are still in their infancy, they open up new possibilities to achieve brain-like intelligence for solving concept drift problems in changing environments. Taking the current state of research in computational intelligence for changing environments into account, the objective of this special issue is to collate this research to help unify the concepts and terminology of computational intelligence in changing environments, and to survey state-of-the-art computational intelligence methodologies and the key techniques investigated to date. Therefore, this special issue invites submissions on the most recent developments in computational intelligence for changing environments algorithms and architectures, theoretical foundations, and representations, & their application to real world problems. We also welcome timely surveys & review papers. Topics of Interest include (but are not limited to): • Computational intelligence methodologies and implementation for changing environments • Transfer learning, Multitask learning, Domain adaption • Incremental Learning architectures, Unsupervised and semi-supervised learning architectures • Incremental Knowledge augmentation, Representation learning and disentangling • Incremental Adaptive Neuro-fuzzy systems • Incremental and single-pass data mining • Incremental Neural Clustering & Regression • Incremental Adaptive decision systems • Incremental Feature selection and reduction • Incremental Constructive Learning • Novelty detection in Incremental learning Submission Process The maximum length for the manuscript is typically 25 pages in single column format with double-spacing, including figures and references. Authors should specify in the first page of their manuscripts the corresponding author’s contact and up to 5 keywords. Submission should be made via: https://easychair.org/conferences/?conf=ieee-cim-cice2015 Important Dates (for August 2015 Issue) 15th November, 2014: Submission of Manuscripts 15th January, 2015: Notification of Review Results 15th February, 2015: Submission of Revised Manuscripts 15th March, 2015: Submission of Final Manuscripts Guest Editors Professor Amir Hussain, University of Stirling, Stirling FK9 4LA, Scotland UK Email: ahu(a)cs.stir.ac.uk http://cs.stir.ac.uk/~ahu/ Professor Dacheng Tao, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW 2007, Australia Email: dacheng.tao(a)uts.edu.au Professor Jonathan Wu University of Windsor 401 Sunset Avenue, Windsor, ON, Canada Email: jwu(a)uwindsor.ca Professor Dongbin Zhao Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China E-mail: dongbin.zhao(a)gmail.com -- The University of Stirling has been ranked in the top 12 of UK universities for graduate employment*. 94% of our 2012 graduates were in work and/or further study within six months of graduation. *The Telegraph The University of Stirling is a charity registered in Scotland, number SC 011159.

Aug. 11, 2014

A mailing list for Computational Glioscience

by Hugues Berry

Dear colleagues, A spinoff of the recent OCNS workshop on the modelling of glia-neuron interactions, we have started a new mailing list. It is intended to share items of interest (new results, papers, events, trainings, jobs...) to the computational glioscience community, i.e. researchers implicated in the modelling and simulation of glial cells at large (astrocytes, microglia, oligodendrocytes, Schwann cells...) and their interactions with neurons. To subscribe, send an email to : sympa(a)inria.fr with the following Subject: subscribe comput-gliosci your_name Sincerely yours Maurizio De Pitta' Hugues Berry -------------------------------------------------------------------------------- Maurizio De Pitta' - https://sites.google.com/site/mauriziodepitta Hugues Berry - http://www.inrialpes.fr/Berry -------------------------------------------------------------------------------- Project-Team BEAGLE INRIA Rhone-Alpes Université de Lyon LIRIS UMR5205 Antenne INRIA de La Doua Batiment CEI-1 66 Blvd Niels Bohr CS 52132 69603 Villeurbanne cedex France

Aug. 9, 2014

FW: PhD/Researcher positions in Electrical Engineering, Computer Science or Biomedical Engineering

by Morgado Dias

Dear Members, Positions 3 and 4 might be interesting for the community. Best regards, Morgado ------------------------------------------------------ PhD/Researcher positions in Electrical Engineering, Computer Science or Biomedical Engineering The research group of Prof. Morgado Dias (Madeira Interactive Technologies Institute - Partner of the Carnegie Mellon University - Portugal program) is looking for PhD students and researchers for: (1) Monitoring and Fault detection in Photovoltaic parks (funded project-1year-possible follow-up with a PhD) (2) 3D Image Processing (funded project-1year- possible follow-up with a PhD) (3) Hardware for Artificial Neural Networks, with emphasis on emerging architectures (PhD, but needs to be externally funded) (4) FPGA prototype for detecting sleep APNEA disorders (PhD – needs to apply to a specific program in Portugal for funding if required) Information about the Institute, University and Region: Madeira Interactive Technologies Institute - Partner of the Carnegie Mellon University - Portugal program, is an innovation institute established as an associated independent non-profit R&D organization whose founding members are the University of Madeira, Madeira Tecnopolo S. A. and Carnegie Mellon University. Recently awarded a 2,4M€ funding, Madeira-ITI operates in the interdisciplinary domain of human-computer interaction encapsulating contributions from computer science, psychology and design in order to address/engage in important scientific and technological challenges that are both relevant to society and have significant economic impact (www.m-iti.org <http://www.m-iti.org> ). The University of Madeira is an active public university integrated in Portuguese Higher Education System and the European Community. Madeira is a small island with paradisiac living conditions and warm people. Recently elected as the Best European Island, you will find in a small place a diversity of landscapes that go from the beach to the mountain with low living costs and almost no crime. Prof. Morgado Dias research expertise includes Artificial Neural Networks, FPGAs and Renewable Energy. More information can be found at: http://www.cee.uma.pt/morgado/ Profile for candidates: (1) A master’s degree in Electrical Engineering, Computer Science, Biomedical Engineering or Computer Engineering (preferred) or an undergraduate degree in the same areas, completed before arrival. (2) Good oral and spoken English as well as good communication skills. TOEFL or IELTS scores are encouraged. At least the English proficiency that fulfills the requirements of CSC applications is necessary. (3) Teamwork spirit. (4) Self-motivation and independent working ability. (5) Knowledge of and research experience related to the above fields are strongly preferred. (6) Previous published work and interest in pursuing a PhD is preferred. Application: If you are interested, please address your motivation letter (with a brief description of yourself, research ability & interest) and CV to: morgadoatuma.pt <mailto:morgado@uma.pt> --- Este email está livre de vírus e malware porque a proteção avast! Antivirus está ativa. http://www.avast.com

Aug. 9, 2014

PhD opportunities at the Queensland Brain Institute

by Geoffrey Goodhill

PhD Positions at the Queensland Brain Institute (QBI), The University of Queensland Application deadline Oct 1st 2014 The Queensland Brain Institute (www.qbi.uq.edu.au) is seeking exceptional and highly motivated PhD candidates to undertake neuroscience research at its state-of-the-art building located at The University of Queensland’s (UQ) St Lucia campus, Brisbane, Australia. UQ has 45,000 students (12,000 postgraduate) and is ranked in the top 100 universities in the world. QBI is one of UQ’s flagship research institutes, with researchers working to understand the fundamental mechanisms of brain function, and applying such research to the development of new therapeutics to combat diseases where brain function is compromised. The Institute’s multidisciplinary environment is home to more than 400 staff and students. Key areas of interest include: • Ageing Dementia and Alzheimer’s Disease • Cognition and Behaviour • Computation and Neuronal Circuits • Neurogenesis and Neuronal Survival • Genetics and Epigenetics • Neuronal Development and Connectivity • Sensory Systems • Synaptic Function Since establishment in 2003 QBI researchers have published >1200 papers in the world’s foremost journals, including 460 in the past 2 years. QBI is 100 metres from UQ's Centre for Advanced imaging (www.cai.uq.edu.au) which houses 7T human and 16.4T animal MRI scanners. Scholarships and Remuneration QBI offers full-time PhD scholarships for outstanding Australian and International students (living allowance AU$25,392 per annum, indexed annually, tax exempt) for 3 years with a possible 6 month extension. In addition, QBI supports high quality domestic and international applicants in their nomination to The University of Queensland’s competitive scholarship rounds (three rounds per year). A QBI top-up scholarship of $5,000 per annum may also be available to successful candidates. Candidates should have a First Class Honours degree (or equivalent) in neuroscience, molecular biology, bioscience, psychology, genetics, physical sciences, engineering, mathematics or a related discipline. Strong academic performance, the commitment to conduct high quality neuroscience research, and published output are highly desirable. For further information on the Basis of Admission to a UQ research higher degree, please visit http://www.uq.edu.au/grad-school/our-research-degrees. Successful applicants must accept and commence within 6 months of receiving an award. Enquiries and Applications Please review the research interests of QBI Group Leaders at http://www.qbi.uq.edu.au/group-leaders and make direct contact with a Group Leader working in an area of greatest interest to you, providing your detailed academic resume and complete academic records (including GPA scores/grades, and grading scale details). The Group Leader will work with you to develop your application for submission to QBI. Applications close on 1 October, 2014 Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

Aug. 8, 2014

PhD Studentship in Neural Fields and Movement Control, University of Reading, UK

by Ingo Bojak

Aug. 7, 2014

NEURAL COMPUTATION - September 1, 2014

by Terry Sejnowski

Neural Computation - Contents -- Volume 26, Number 9 - September 1, 2014 Available online for download now: http://www.mitpressjournals.org/toc/neco/26/9 ----- Article Continuous Closed-loop Decoder Adaptation With a Recursive Maximum Likelihood Algorithm Allows for Rapid Performance Acquisition in Brain-machine Interfaces Siddharth Dangi, Suraj Gowda, Helene Moorman, Amy Orsborn, Kelvin So, Maryam Shanechi, and Jose Carmena Letters Neuronal Spike Train Entropy Estimation by History Clustering Nicholas Watters, and George Reeke Memory Nearly on a Spring: A Mean First Passage Time Approach to Memory Lifetimes Terry Elliott Sparseness, Anti-Sparseness and Anything in Between: The Operating Point of a Neuron Determines Its Computational Repertoire Terry Elliott Sequential Activity in Asymmetrically Coupled Winner-Take-All Circuits Hesham Mostafa, Giacomo Indiveri Synchronization of Stochastic Competitive Neural Networks With Different Time Scales and Reaction-diffusion Terms Yanchao Shi, Peiyong Zhu A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons Babak Shahbaba, Bo Zhou, Shiwei Lan, Hernando Ombao, David Moorman, and Sam Behseta A Bayesian Model of Polychronicity Mira Guise, Alistair Knott, and Lubica Benuskova A Non-parametric Clustering Algorithm With a Quantile-based Likelihood Estimator Hideitsu Hino, Noboru Murata ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2014 - VOLUME 26 - 12 ISSUES USA Others Electronic Only Student/Retired $70 $193 $65 Individual $124 $187 $115 Institution $1,035 $1,098 $926 Canada: Add 5% GST MIT Press Journals, 238 Main Street, Suite 500, Cambridge, MA 02142-9902 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-orders(a)mit.edu ------------

Aug. 6, 2014

Fellowships in Neural Engineering at the University of Washington

by Adrienne Fairhall

We invite applications for the Washington Research Foundation Innovation Fellowships in Neuroengineering at the University of Washington in Seattle. These fellowships will be offered through the recently established UW Institute for Neuroengineering, which aims to aims to solve some of today’s greatest scientific challenges about neural system function by linking advances in biology, computing, devices, data science, and computational neuroscience. These highly selective fellowships will fund research in computational and engineering approaches to neuroscience; joint mentoring between faculty in different disciplines (CS, engineering, mathematics, neurobiology) is strongly encouraged. Applications are due September 1, 2014. Please see http://uwin.washington.edu/post-docs/ for more details of the application procedure.

Aug. 6, 2014

IWSP7: Epilepsy Mechanisms, Models, Prediction & Control

by Levin Kuhlmann

Dear Colleagues, It is with unbridled excitement that we announce the date of the 7th International Workshop on Seizure Prediction: IWSP7: Epilepsy Mechanisms, Models, Prediction & Control Date: 3-6 August 2015 Location: Melbourne, Australia Website: www.iwsp7.org<http://www.iwsp7.org> The IWSP series of conferences bring together researchers across multiple disciplines to focus on epilepsy research. This conference will centre on the engineering and science of epilepsy from basic mechanisms and imaging, to computational modelling for analysis and prediction, through to feedback control of epilepsy. Invited Speakers: Samuel Berkovic, University of Melbourne, Australia (Genetics and individual-specific nature of epilepsy) Bin He, University of Minnesota, USA (EEG-based imaging to localise seizure and high frequency activity) Louis Lemieux, University College London, UK (Multi-modal imaging of human epileptic zone and networks) Martha Morrell, Stanford University, Neuropace, USA (Responsive seizure control and clinical implications) John Terry, University of Exeter, UK (Modelling multiscale brain networks: seizure initiation, evolution and prediction) Gregory Worrell, Mayo Clinic, USA (Forecasting epileptic seizures in dogs) Please forward this notice to anyone that you think might be interested. We look forward to seeing you at the meeting! On behalf of the local organizing committee Levin Kuhlmann, PhD David B. Grayden, PhD Mark J. Cook, MD Dean R. Freestone, PhD Alan Lai, PhD Elma O'Sullivan-Greene, PhD Andre Petersen, BSc(hons) Email: organizingcommittee(a)iwsp7.org<mailto:organizingcommittee@iwsp7.org>

Aug. 6, 2014

Wanted: neurotheory postdoc, to catch fireflies

by Xaq Pitkow

POSITION: Xaq Pitkow's Computational Neuroscience group jointly at Rice University and the Baylor College of Medicine, in Houston, Texas, is seeking a highly motivated postdoctoral researcher who will develop theory and analyses of dynamic neural representations in animal brains. This is for a newly funded project to test how neural computations enable animals to catch fireflies in a virtual reality environment. The project will require multiple interlocking theoretical components and hands-on engagement with neural data analysis. We aim to understand the interplay between vision, spatial navigation, and decision-making in the face of uncertainty during a naturalistic, continuous-time task. LAB ENVIRONMENT: Our research focuses on computational functions of neural networks, especially how they compute properties of the world using ambiguous sensory evidence. A few related topics include: distributed neural representations, biological algorithms for statistical inference, and computation by nonlinear recurrent networks. This project is a close collaboration with the labs of Dora Angelaki, Greg DeAngelis, and Paul Schrater, all highly quantitative researchers in behavioral and cognitive neuroscience. QUALIFICATIONS: Important selection criteria include strong mathematical skills, practical knowledge of machine learning tools, and past research accomplishments. Applicants must have a Ph.D. in a relevant quantitative discipline, e.g. physics, math, machine learning, or statistics. Previous experience with neurobiology is advantageous but not essential. APPLYING: Applicants should email a letter of research interests and CV to Xaq Pitkow (xaq(a)rice.edu) The position is available immediately, and we look forward to reviewing applications as they arrive.

Aug. 6, 2014

Postdoc position in machine/biological vision – Serre lab, Brown University (Providence, RI)

by Thomas Serre

The computational vision research group, headed by Dr. Thomas Serre at Brown University, has an opening for a postdoctoral fellow to work at the interface between computational neuroscience and computer vision. In particular, we are looking for computer scientists interested in the development of novel machine learning / computer vision algorithms derived from high-fidelity representations of cortical microcircuits to achieve human-like performance on complex information processing tasks. Candidates are expected to have a solid background in modern computer vision and machine learning methods and in particular, strong expertise in optimization techniques and deep learning methods. An interest in biological vision and applications of computer vision to the biological sciences would also be a strong plus. The initial appointment is for 12 months, renewable for another year, and potentially longer depending on funding. The start date is negotiable though an early start is strongly preferred. Salary is commensurate with experience and is competitive. Representative recent work related to the project: D. Reichert & T. Serre. Neuronal synchrony in complex-valued deep networks. International Conference on Learning Representations, 2014 T. Serre and T. Poggio. Reverse-engineering the brain. In: the Communications of the Association for Computing Machinery (CACM), 53(10), pp. 54-61, Oct 2010 Research group: Our research group is located within the Department of Cognitive Linguistic & Psychological sciences at Brown University. We maintain strong ties with the neuroscience, computer science, engineering and applied math departments as part of the Brain Institute. Through Brown’s Center for Computation and Visualization (https://www.ccv.brown.edu) our group has access to a state-of-the-art computing facility with includes over 300K GPU cores and over 500 Teraflops of GPU computing power. Information about Dr. Serre and his research group can be found at http://serre-lab.clps.brown.edu . Requirements: Applicants are expected to have finished, or be about to finish their Ph.D. degrees. They must have a strong background in computer vision and/or machine learning, with a track record of relevant publications at top venues (such as NIPS, CVPR, ICCV, ICML or ECCV). Excellent programming skills are required (C/C++/Matlab/Python). Programming experience in CUDA and/or parallel computing would be a strong plus. Application: Please send your applications by email to serre-admin(a)correct_university_name.edu where correct_university_name should be replaced by brown. Please include a brief statement of interests, a curriculum vita, a list of publications and contact details for 2-3 letters of reference (no letters required at this stage).

Aug. 5, 2014

Two Postdoctoral Positions in Computational Modeling of Primate Motor Control

by Ilya Rybak

=============== Two postdoctoral/research associate positions in computational neuroscience for the duration of up to three years are available in the externally funded project focusing on multiscale computational modeling of motor control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex, and spinal cord in connection with realistic simulation of pathological changes in motor control during Huntington’s disease. This collaborative project is performed jointly by the groups of Drs. Ilya Rybak (Dept. of Neurobiology and Anatomy, Drexel University, Philadelphia, PA, USA) and Yaroslav Molkov (Dept. of Mathematical Science, Indiana University – Purdue University, Indianapolis, IN, USA). Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline and have excellent C++ programming skills. Previous experience in computational neuronal modeling is a plus. Interested candidates are encouraged to contact Dr. Rybak (rybak(a)drexel.edu) or Dr. Molkov (ymolkov(a)iupui.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. ================================= Ilya A. Rybak, Ph.D. Professor Department of Neurobiology and Anatomy Drexel University College of Medicine 2900 Queen Lane Philadelphia, PA 19129 USA Tel.: (215) 991-8596 FAX: (215) 843-9082 E-mail: rybak(a)drexel.edu http://neurobio.drexelmed.edu/rybakweb/rybak.html http://www.drexelmed.edu/Home/AboutOurFaculty/IlyaARybak.aspx https://www.researchgate.net/profile/Ilya_Rybak/publications/ http://scholar.google.com/citations?hl=en&user=SnA068QAAAAJ http://www.pubfacts.com/author/Ilya+A+Rybak Yaroslav Molkov, Ph.D. Assistant Professor Indiana University - Purdue University Indianapolis Department of Mathematical Sciences 402 N. Blackford St, LD 270, Indianapolis, IN 46202 Office: LD 224U Phone: (317) 274-6934 Fax: (317) 274-3460 Email: ymolkov(a)iupui.edu

Aug. 4, 2014

Tenure Track Assistant Professor of Cognitive Psychology

by Aaron Seitz

The Department of Psychology,University of California, Riverside, invites applications for a tenure-track Assistant Professor position in Cognitive Psychology, beginning July 1, 2015. We seek applicants whose research examines language learning, at any time scale, and/or bilingualism. The ideal candidate will contribute to our emerging emphasis in experience- dependent change. Applicants should demonstrate a record of research excellence using methodological approaches involving human behavior, neuroimaging, and/or computational modeling. Applicants should be committed to excellence in undergraduate and graduate education. The Ph.D. degree is required at time of hire. Salary will be commensurate with education and experience. Review of completed applications begins October 10, 2014 and continues until the position is filled. Interested candidates should send a cover letter describing research and teaching interests, their curriculum vitae, reprints and preprints, and arrange to have three letters of recommendation provided, all using the following link: https://aprecruit.ucr.edu/apply/JPF00159. Questions about the position should be directed to Professor Christine Chiarello, Chair, Cognitive Area Search Committee, at christine.chiarello(a)ucr.edu. The Riverside campus of the University of California is growing rapidly and has an excellent psychology department with a strong record of success in research, teaching and extramural funding. For information on the Department of Psychology, see our web site at: http://www.psych.ucr.edu. The campus is centrally located in Southern California, about 50 miles east of Los Angeles and less than an hour's drive from the area's mountains, deserts and beaches. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other characteristic protected by law. *Note Applicants who use Interfolio may utilize a feature provided by the Interfolio Service to allow Interfolio to upload their letters directly into AP Recruit without bothering the letter writer. Applicants can input an Interfolio-generated email address in place of their letter writer¹s email address. Interfolio refers to this as online application deliveries. The following link on the Interfolio website shows how to set this up: http://help.interfolio.com/entries/24062742-Uploading-Letters-to-an-Online- application-System ************************************************** Aaron Seitz, Ph.D. Professor Department of Psychology University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu Web: http://faculty.ucr.edu/~aseitz/ **************************************************

Aug. 4, 2014

Call for Papers: Tha ICIISCT2015 Conference in India

by Grace Allas

[My apology for receiving multiple copies] ----------------------------------------------------------------- http://sdiwc.net/conferences/iciisct2015/ *International Conference on Innovations in Intelligent Systems and Computing Technologies (ICIISCT2015)* September 18-20, 2015 Rajasthan Vidyapeeth (D) University, India Udaipur, Rajasthan, India All registered papers will be included in SDIWC Digital Library. ============================================================== The conference aims to enable researchers build connections between different digital applications. The event will be held over three days, with presentations delivered by researchers from the international community, including presentations from keynote speakers and state-of-the-art lectures. RESEARCH TOPICS ARE NOT LIMITED TO: - Information and Data Management - Social Networks - Data Compression - Information Content Security - E-Technology - Mobile, Ad Hoc and Sensor Network Management - E-Government - Web Services Architecture, Modelling and Design - E-Learning - Semantic Web, Ontologies - Wireless Communications - Web Services Security - Mobile Networking, Mobility and Nomadicity - Quality of Service, Scalability and Performance - Ubiquitous Computing, Services and Applications - Self-Organizing Networks and Networked Systems - Data Mining - Data Management in Mobile Peer-to-Peer Networks - Computational Intelligence - Data Stream Processing in Mobile/Sensor Networks - Biometrics Technologies - Indexing and Query Processing for Moving Objects - Forensics, Recognition Technologies and Applications - Cryptography and Data Protection - Information Ethics - User Interfaces and Usability Issues form Mobile Applications - Fuzzy and Neural Network Systems - Mobile Social Networks - Signal Processing, Pattern Recognition and Applications - Peer-to-Peer Social Networks -Image Processing - Sensor Networks and Social Sensing - Distributed and parallel applications - Social Search - Internet Modeling - Embedded Systems and Software - User Interfaces,Visualization and Modeling - Real-Time Systems - XML-Based Languages - Multimedia Computing - Network Security - Software Engineering - Remote Sensing Researchers are encouraged to submit their work electronically. All papers will be fully refereed by a minimum of two specialized referees. Before final acceptance, all referees comments must be considered. Paper Submission: http://sdiwc.net/conferences/iciisct2015/openconf/openconf.php IMPORTANT DATES: Submission Deadline : open from now until August 18, 2015 Notification of Acceptance : 2 - 4 weeks from the submission date Camera Ready Submission : September 05, 2015 Registration Date : September 05, 2015 Conference Dates : September 18-20, 2015 Contact email: : iciisct2015(a)sdiwc.net

Aug. 2, 2014

PhD position

by Lendasse, Amaury

One PhD student position available (Research Assistant and Teaching Assistant) Topic: Machine Learning for Big Data Where: Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, Iowa, USA (http://www.engineering.uiowa.edu/mie) Starting date: January 15th 2015 Requirements: Applicants should have a keen interest in Machine Learning and hold a Master or equivalent degree in a relevant field such as Computer Science, Industrial Engineering, or Mathematics. The candidate should have excellent programming skills (e.g. Matlab, Python, C/C++) and good analytic skills. Experience with Big Data in Machine Learning (e.g., Hadoop, MapReduce, GPU computing,...), Data Mining and Data Analysis (time series analysis, visualization,...) are a plus. Minimum TOEFL Score Requirements: a score of 600 or higher on the paper-based (PBT) version of the test, or a score of 100 or higher on the Internet-based version of the test (iBT). The selected candidate will then apply officially to the UIOWA: http://www.engineering.uiowa.edu/mie/graduate-program/industrial-engineerin… Interested candidates are encouraged to contact Associate Prof. Lendasse (amaury-lendasse(a)uiowa.edu) by email. To apply, please send an email (subject: PhD Position MIE IOWA) along with a SINGLE PDF file including: (1) a cover letter describing previous experiences and interests (maximum 1 page) (2) Curriculum Vitae (maximum 2 pages) (3) academic transcripts (4) the names and contact information of two or three references (maximum 1 page) (5) Skype Name Application Deadline: August 17th 2014 Amaury Lendasse, Associate Professor Department of Mechanical and Industrial Engineering 2403 Seamans Center for the Engineering Arts and Sciences The University of Iowa Iowa City, Iowa, 52242, USA email: amaury-lendasse(a)uiowa.edu WWW: http://www.engineering.uiowa.edu/mie/faculty-staff/amaury-lendasse

Aug. 1, 2014

Kind Reminder:: CFP:: 3rd ICIEIS2014- Poland

by The Third International Conference on Informatics Engineering and Information Science (ICIEIS2014)

| Please accept our apology for multiple posting. THANK YOU | +-----------------------------------------------------------+ The Third International Conference on Informatics Engineering and Information Science (ICIEIS2014) Lodz University of Technology, Lodz, Poland September 22-24, 2014 http://sdiwc.net/conferences/2014/icieis2014/ ============================================================================ The proposed conference will be held at Lodz University of Technology Lodz, Poland from September 22-24, 2014 which aims to enable researchers to build connections between different digital applications. The conference welcomes papers on the following (but not limited to) research topics: - Real-Time Systems - Software Engineering - Biometrics Technologies - Mobile Social Networks - Information Ethics - Information Content Security - Information and Data Management - Network Security - Social Networks - Wireless Communications - Information Propagation on Social Networks Researchers are encouraged to submit their work electronically. All papers will be fully refereed by a minimum of two specialized referees. Before final acceptance, all referees comments must be considered. Important Dates ============================================================================ Submission Date : Open from now until August 20, 2014 Notification of acceptance: 2-3 weeks from the submission date Camera Ready submission : Sept. 12, 2014 Registration : Sept. 12, 2014 Conference dates : Sept. 22-24, 2014

Aug. 1, 2014

Open Position: Software Developer in Neuroinformatics at LMU Munich

by Thomas Wachtler

At the German Neuroinformatics Node (G-Node, http://www.g-node.org) Ludwig-Maximilians-Universität München, a full-time position is available to join the G-Node team in developing neuroinformatics solutions for data management in neurophysiology. Variety and complexity of data in this field bring the challenge of large-scale data access, consistent storage and efficient data analysis. G-Node is interacting closely with research labs to address these challenges with state of the art neuroinformatics methods. Current developments include a data sharing platform and tools for metadata management and data annotation. G-Node is part of the Bernstein Network Computational Neuroscience (http://nncn.de) is collaborating with the International Neuroinformatics Coordination Facility (INCF, http://incf.org) Secretariat and other INCF National Nodes, and is involved in teaching and training activities. The position involves working in a small team of developers within a lively neuroscience environment, with ample opportunities for bridging between neuroscience research and neuroinformatics. Tasks will include contributing to the development and enhancement of G-Node tools and services (http://www.g-node.org/tools-and-services) working closely with neuroscience laboratories that use, or plan to use, neuroinformatics solutions. Candidates should have excellent programming skills, preferably in Python and C++ or Java, knowledge about relational databases, the ability to work in a team, and a strong interest in the development of novel open-source solutions for neuroscience. Experience in further fields of relevance, such as web development (Javascript, HTML/CSS, web frameworks), semantic web technologies, scientific software and analysis, experimental or computational neuroscience, would be beneficial. The position is available immediately, salary level is according to TV-L, duration is one year with possibility of extension. Severely disabled applicants will be given preference in case of equal qualification. Applications by women are specifically encouraged. Applications should include CV, statement of experience and motivation, and names of referees. Informal inquiries prior to application are welcome. Applications will be accepted until the position is filled. Applications should be sent, preferably as pdf file by email, to Thomas Wachtler <wachtler(a)bio.lmu.de> -- Dr. Thomas Wachtler <wachtler(a)bio.lmu.de> Scientific Director German Neuroinformatics Node Department Biology II Ludwig-Maximilians-Universität München Grosshaderner Str. 2 82152 Planegg-Martinsried Germany

July 31, 2014

Postdoctoral Position in Computational Motor Control

by Jon Sensinger

A postdoctoral position in computational motor control is available to apply optimal control and computational motor control methods to improve the control, sensory feedback, and outcome measures used in prosthetics. The successful applicant will join an interdisciplinary team at the University of New Brunswick’s Institute of Biomedical Engineering that includes scientists, clinicians, and engineers focused on improving clinically viable prostheses and exoskeleton design and control. He or she will be expected to leverage research from the broader neuroscience research community to develop computational approaches for addressing real-world problems, and will have the opportunity to interact on a daily basis with patients. This collaborative project is performed jointly by the groups of Drs. Jon Sensinger (Institute of Biomedical Engineering, University of New Brunswick, Canada) Levi Hargrove (Center for Bionic Medicine, Rehabilitation Institute of Chicago, USA), and Konrad Kording (Northwestern University, Chicago USA). A layman’s overview of the project is video-scribed here: https://www.youtube.com/watch?v=eEzbuiJi0T0 Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline and have excellent Matlab programming skills. Previous experience in computational motor control or optimal control is a plus. Interested candidates are encouraged to contact Dr. Sensinger (j.sensinger(a)unb.ca<mailto:j.sensinger@unb.ca>) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. Dr. Sensinger will be available to answer questions and discuss this job opportunity with potential candidates at the EMBC 2014 meeting in Chicago, USA (August 27-30). Jon Sensinger, PhD Associate Director, Institute of Biomedical Engineering Associate Professor, Electrical and Computer Engineering University of New Brunswick http://www.ece.unb.ca/jsensing Twitter: @jsensinger LinkedIn: http://www.linkedin.com/pub/jon-sensinger/9a/1b2/a09

July 31, 2014

[meetings] ICANN 2014 - Final Program and Call for Participation

by Stefan Wermter

------------------------------------------------------------------- Call for Participation and Conference Program ICANN 2014: 24th Annual Conference on Artificial Neural Networks 15 - 19 September 2014, University of Hamburg, Germany http://icann2014.org/ =================================================================== We invite you to attend the 2014 International Conference on Artificial Neural Networks (ICANN), which is the annual flagship conference of the European Neural Network Society (ENNS). In 2014 the University of Hamburg will organize the 24th ICANN Conference from 15th to 19th September 2014 in Hamburg, Germany. CONFERENCE PROGRAM: The main conference program is now available. The program includes 72 oral presentations, 33 posters and 2 live Demonstrations. http://icann2014.org/program/ REGISTRATION: The ICANN 2014 registration is open. The full registration costs 490 € and 390 € for students. ENNS members pay a reduced rate of 440 €, and 340 € for students. The registration includes access to scientific sessions and plenary talks, coffee breaks during the main conference, welcome event, conference dinner, one copy of the proceedings (USB), one conference bag. Additional tickets for the conference dinner can be purchased for 70 €. http://icann2014.org/registration/ VENUE AND TRANSPORTATION: Hamburg is the second-largest city in Germany, home to over 1.8 million people. Situated at the river Elbe, the port of Hamburg is the second-largest port in Europe. The University of Hamburg is the largest institution for research and education in the north of Germany. The venue of the conference is the ESA building of the University of Hamburg, situated at Edmund-Siemers-Allee near the city centre and easily reachable from Dammtor Railway Station. Hamburg Airport can be reached easily via public transport. ACCOMMODATION: For the accomodation we arranged guaranteed rates for a couple of hotels in Hamburg for ICANN 2014. http://icann2014.org/accommodation/ CHAIRS and ORGANISATION: General Chair: Stefan Wermter (Hamburg, Germany) Program co-Chairs Alessandro E.P. Villa (Lausanne, Switzerland, ENNS President) Wlodzislaw Duch (Torun, Poland, ENNS Past-President) Timo Honkela (Helsinki, Finland) Petia Koprinkova-Hristova (Sofia, Bulgaria) Günther Palm (Ulm, Germany) Cornelius Weber (Hamburg, Germany) Local Organizing Committee Chairs: Sven Magg, Johannes Bauer, Jorge Chacon, Stefan Heinrich, Doreen Jirak, Katja Koesters, Erik Strahl KEYNOTE SPEAKERS: Christopher M. Bishop (Microsoft Research, Cambridge, UK) Jun Tani (KAIST, Daejeon, Republic of Korea) Paul Verschure (Universitat Pompeu Fabra, Barcelona, Spain) Yann LeCun (New York University, NY, USA) Barbara Hammer (Bielefeld University, Bielefeld, Germany) Kevin Gurney (University of Sheffield, Sheffield, UK) CONFERENCE TOPICS: ICANN 2014 will feature the main tracks Brain Inspired Computing and Machine Learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organization, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Recurrent Networks, Deep Learning. Machine Learning: Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models. Neural Applications for: Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. CONFERENCE WEBSITE: http://www.icann2014.org *********************************************** Professor Dr. Stefan Wermter Chair of Knowledge Technology Department of Computer Science University of Hamburg Vogt Koelln Str. 30 22527 Hamburg, Germany http://www.informatik.uni-hamburg.de/~wermter/ http://www.informatik.uni-hamburg.de/WTM/ ***********************************************

July 31, 2014

FINAL CALL for Goettingen's 12th annual comp-neuro summer course. DEADLINE: Aug. 6th.

by Maximilian Puelma Touzel

Final call for applicants to apply to the 12th summer course on COMPUTATIONAL NEUROSCIENCE in Göttingen, Germany September 08th - 12th, 2014 Organized by Agostina Palmigiano, Joscha Liedtke and Maximilian Puelma-Touzel Sponsored by -the Bernstein Centre for Computation Neuroscience, Göttingen -the International Max Planck Research School for the Physics of Biological and Complex Systems -the Goettingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences ______________________________ The course is intended to provide graduate students and young researchers from within and outside of neuroscience with working knowledge of theory and analysis methods used in the field and to acquaint them with recent developments therein. The focus of this year's course is modelling and theory of neuronal ensembles. The course includes tutorials and lectures from the following researchers: * Carl Van Vreesijk, Universite Rene Descartes, Paris, France * Claudia Clopath, Imperial College London, London, England * Srdjan Ostojic, École Normale Supérieure, Paris, France * Gasper Tkacik, Institute of Science and Technology, Vienna, Austria * Alfonso Renart, Champalimaud Centre for the Unknown, Lisbon, Portugal The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. A course fee of 100 Euro includes participation in the tutorials, study materials, and part of the social events. The number of participants is limited to 30. Course language is English. To apply please fill out the application form at: http://www.bccn-goettingen.de/events/cns-course by *August 6, 2014* Best wishes and looking forward to seeing you in Göttingen, Max Puelma Touzel (on behalf of the organizers) Max Planck Institute for Dynamics and Self-Organization Fassberg 17, 37077 Goettingen, Germany +49 551 5176 444 Office +49 (0)176 6 876 2821 Mobile mptouzel(a)nld.ds.mpg.de www.nld.ds.mpg.de

July 29, 2014

Postdoc in computational neuroscience

by Joaquín Navajas

Post doc in computational neuroscience (Centre for Systems Neuroscience - University of Leicester, UK) Spike sorting is the classification of single neurons from extra cellular recordings based on their spike shapes. The main focus of your research will be the study and implementation of optimal spike detection and sorting techniques. For this you will study different techniques to improve the spike detection and sorting results and will then implement these advances in a graphic user interphase and in batch codes to run in matlab. Link for more details: http://www.le.ac.uk/jobs/external/SEN00493_Job_Summary.pdf <https://email.le.ac.uk/owa/redir.aspx?C=6xLmoEDA8kadrrcI2z0-IpKjtXikftEISUM…> Informal enquiries are welcome and should be made to Sue Atkinson, Research Centre Manager, sam45(a)le.ac.uk <https://email.le.ac.uk/owa/redir.aspx?C=RXnrNoZO4k-7v7qrCHbb4FuwAk44fdEIFNi…> or 0116 252 3249

July 29, 2014

CNS workshop

by Jonathan Rubin

Dear Comp-Neuro members who are attending the CNS*2014 meeting, We are happy to invite you attend the workshop “Dynamics of Disease States” that will take place on Wednesday, July 30th at the CNS*2014 meeting in Quebec. The workshop will be held in room 2104A and the full program is available at: http://wwwhome.math.utwente.nl/~gilssa/cns2014/?page=program best regards, Stephan van Gils and Jon Rubin

July 28, 2014

Columbia+Janelia postdoc positions: zebrafish computational neuroscience and machine learning

by Liam Paninski

Colleagues, Will you please circulate this postdoc ad amongst your students or anyone else who might be interested: http://grossmancenter.columbia.edu/zebrafish.html? Thank you. Liam Paninski ------------------------------------------------------------------------------------------ Postdoctoral position in large-scale computational neuroscience A full-time postdoctoral position is available immediately, jointly between Columbia University's Grossman Center for the Statistics of Mind and HHMI's Janelia Research Campus. The aim is to understand whole-brain activity at the cellular level using large-scale computational methods. The position is co-supervised by Liam Paninski, John Cunningham and Larry Abbott (at Columbia) and Jeremy Freeman and Misha Ahrens (at Janelia Research Campus) and is centered around understanding the dynamics of all neurons in the brain of behaving larval zebrafish. We use light-sheet imaging to record simultaneously from most of the ~10^5 neurons during behavior, and use large-scale cluster computing and machine learning, statistics, and modeling to gain insight into how brain-wide network dynamics underlies behavior. The position will be based at Columbia University and HHMI Janelia Research Campus, and we will encourage applicants to spend time at both campuses. Requirements: Qualifications include primarily a strong research portfolio in computational neuroscience, statistical neuroscience, machine learning, or a related field. Backgrounds in analyzing large neural datasets, modeling complex neural systems, and in cutting-edge machine learning will be particularly valuable. These positions are highly quantitative and highly interdisciplinary; applicants should have a PhD in Electrical Engineering, Statistics, Machine Learning, Physics, Applied Mathematics, or Computational Neuroscience. Appointment: The initial appointments will be for one year, and are renewable. Salaries will be set based on experience and skills. Applicants should send an email to zebrafish.computation(a)gmail.com providing: 1. a one-page description of past research experience 2. a one-page description of future research interests and goals 3. a resume of educational and research experience, including publications 4. names of three people who could provide letters of reference All materials should be in pdf or plain text. Applications will be reviewed as they arrive until the positions are filled; interested candidates are encouraged to express their interest early. Due to demand, we may not be able to reply to all applications.

July 28, 2014

ONLY FOR STUDENTS - 2 weeks mini computational neuroscience freelance project for students from home

by Robert Schindle

Hello All, We are currently working on a project in the field of computational neuroscience which requires some help with analyzing data and documenting the research within the next 2 weeks. We are looking for someone with good c++ and Python skills. You will be compensated accordingly. If you are interested please contact us immediately so that we can discuss other details and start the work immediately. Thanks a lot, Robert Schindle.

July 28, 2014

Postdoctoral Position- Arizona

by Jean-Marc

The Computational and Experimental Neuroscience Laboratory is looking to fill a position for a Postdoctoral Research Fellow. The research project is geared towards understanding the role of awake hippocampal replay in spatial navigation. The techniques used include high density electrophysiology in the behaving rat. The project is multidisciplinary and involves collaboration with a robotics team (University of Florida, Tampa) and a computational neuroscience team (INSERM, Lyon, France). Good communication skills are necessary. This position is appropriate for a computational neuroscientist with some experimental background interested in branching out to experimental neuroscience. Applicants with a subset of the following skill set are strongly encouraged to apply: - Scientific expertise or interests in hippocampus and/or prefrontal-cortex - Electrophysiology (in vivo chronic behaving or in vitro) - Behavioral Neuroscience (rat training/testing) - General laboratory skills (e.g. histology, surgery) - Matlab programming and spike-data analyses Applicant should send a cover letter, CV and the names of at least 2 references to Dr. Jean-Marc Fellous (fellous(a)email.arizona.edu) The search is ongoing and is projected to be completed by October 30th, 2014. Information about the laboratory can be found at: http://amygdala.psychdept.arizona.edu/lab.html The CENL and the University of Arizona are committed to maintaining a diverse and inclusive work environment and women and minorities are encouraged to apply. The University of Arizona is an equal opportunity, affirmative action employer.

July 26, 2014

Postdoctoral positions: Memory, motor, & learning dynamics

by Mark Goldman

Two theoretical postdoctoral positions and 1-2 collaborative experiment-theory positions are available in the laboratory of Dr. Mark Goldman at the University of California at Davis.The lab works on a broad range of problems in computational neuroscience ranging from neural coding to dynamics and plasticity of single neurons and networks. Immediate funding is available for a range of projects related to working memory, neural integration, motor learning, and synaptic plasticity as described below.The postdoctoral candidate also would have flexibility to work on a range of issues of his or her choosing.Candidates are expected to have strong training in an analytically rigorous discipline such as theoretical neuroscience, physics, mathematics, computer science, or engineering.The postdoctoral candidate will have ample opportunity to interact within the vibrant computational and systems neuroscience communities at UC Davis and the greater San Francisco Bay Area. Candidates should send a CV, brief statement of previous research and future research interests, and contact information for three references to: Mark Goldman, msgoldman(a)ucdavis.edu. Specific positions with funding include: 1) *Theoretical positions:Dynamics of memory and motor-related neural activity* /Challenging the attractor picture of working memory/.In the traditional attractor picture of working memory, memory storage results from positive feedback processes that lead to the formation of self-sustained attractors.In one project, we are exploring how functionally feedforward, rather than feedback, network architectures can generate flexible codes for storing memories and producing a broad range of input-output transformations.In a second project, we are utilizing methods from engineering control theory to show how balanced cortical networks can utilize negative feedback to stabilize persistent patterns of neural activity. /Multi-scale modeling of neural integration./The oculomotor neural integrator, which transforms eye-velocity encoding motor commands into eye-position encoding commands, is a model system for understanding the mathematical integration of inputs and the maintenance of memory-storing activity.We seek to determine the respective roles of cellular and circuit mechanisms of memory storage in this system.Multi-scale models, from ion channels to behavior, will be generated based upon electrophysiological and optical imaging recordings and optogenetic manipulations performed in our experimental collaborators' laboratories. /Context-dependent memory storage./Recent experiments suggest that the oculomotor neural integrator functions in a context-dependent manner, producing spatially distinct activity patterns depending upon whether eye movements are being made in the context of rapid changes in gaze (saccades) versus smooth tracking of moving objects.We seek to determine the circuit mechanisms underlying this context-dependent activity and to propose general frameworks, applicable to both oculomotor and cortical memory systems, for how multiple context-dependent inputs can be separately stored in a single network. /Role of the granule cell layer in cerebellar motor learning./The eye movement system provides a highly tractable setting for studying motor learning because it is well-characterized experimentally and has fewer degrees of freedom than more complicated movement systems.In collaboration with whole-circuit optical imaging and optogenetic perturbation experiments in the Aksay laboratory at Cornell Medical University and genetic manipulations, electrophysiological recording, and optogenetic perturbations in Jennifer Raymond's laboratory at Stanford University, we are modeling the neural dynamics and coding of cerebellar granule neurons and their relation to Purkinje cell firing and the plasticity of eye movement behaviors. 2) *Experimental positions:* *Development, dynamics, and plasticity of neural networks: *In collaboration with Kim McAllister (kmcallister(a)ucdavis.edu <mailto:kmcallister@ucdavis.edu>), we are seeking to understand the learning rules underlying development and learning in neural networks. We will use cutting-edge technology in patterned substrates, optogenetics, and uncaging in a novel long-term imaging assay for synapse dynamics that allows recording and single synapse or single cell manipulation of neuronal and network activity. These cultured networks will be used to directly test central tenets of Hebbian, spike-timing dependent, and homeostatic learning over development. The applicant will perform these imaging experiments as well as apply theoretical models to better understand and predict our results. *Dynamics of memory and motor-related neural activity:*There are also possibilities for joint experimental-theoretical work with Emre Aksay's laboratory at Weill Medical College of Cornell University (in New York City) on either oculomotor memory storage or cerebellar motor learning, using /in vivo/ two-photon optical recording and stimulation to dissect circuit function and plasticity.Interested candidates should contact Dr. Aksay at ema2004(a)med.cornell.edu <mailto:ema2004@med.cornell.edu>.

July 25, 2014

PhD Position in Brain-Inspired Computing (Theory)

by Mihai A. Petrovici

The Kirchhoff-Institut für Physik at the Ruprecht-Karls-Universität Heidelberg (Germany) has an immediate opening for a * PhD Position in Brain-Inspired Computing (Theory)* The position is located in the Electronic Vision(s) Lab of Prof. Karlheinz Meier. The group develops large-scale hardware for brain-inspired computing and investigates novel theoretical paradigms of neural computation. The Heidelberg group works on the development of brain-inspired electronic circuits, so-called neuromorphic systems. These systems implement physical models of neurons and synapses in-silico, with fully configurable parameters and connectivity. Throughout a series of international projects, the hardware systems have evolved from single chips to wafer-scale devices with hundreds of thousands of neurons (Schemmel et al., 2010) and are planned to be further scaled up in the framework of the EU Human Brain project (HBP). The configurability of these systems fosters their use as general-purpose emulation devices for neuroscientific research (Pfeil et al., 2013). Their intrinsic parallelism, low power consumption and high acceleration sets them apart from conventional computing architectures. The heterogeneity of neuromorphic substrates requires novel theoretical approaches (Petrovici et al., 2014). The Heidelberg group is also involved in theoretical research and modeling of spike-based computational principles. In particular, the use of stochasticity for Bayesian inference is a major focus. These models provide useful architectures for machine learning, while at the same time advancing the study of possible computational paradigms in the mammalian neocortex (Petrovici et al., 2013). The successful candidate will join the theory and modeling section of the group in developing new stochastic models that exploit the heterogeneity of the hardware substrate, thereby benefitting from its significant speed advantage over conventional simulators. ------------------------------------------ Candidates are expected to hold a Masters degree or equivalent in Physics, Mathematics, Computer Science or a related discipline. Knowledge in neuroscience is not required but would be an advantage. The candidates should have a deep interest in theoretical and computational neuroscience, as well as excellent mathematical abilities. An important part of their work will consist in acquiring new skills from various fields of neuroscience, as required by the interdisciplinary nature of the research topic. The successful candidates will use complex simulation software and are therefore required to have very good programming skills. ------------------------------------------ Applications should addressed to Prof. Karlheinz Meier (meierk(a)kip.uni-heidelberg.de) and Mihai Petrovici (mpedro(a)kip.uni-heidelberg.de) including the following information in a single pdf-file : - Statement of research - CV - Two names (with email addresses) of suggested referees - Copies of university degrees and additional certificates - URLs of master /diploma) thesis and related publications

July 25, 2014

CNS*14 Tutorial on Neuronal Model Parameter Search Techniques

by Cengiz Günay

Dear colleagues, You are invited to attend our shortly upcoming full-day tutorial session at CNS*2014 in Quebec City. *Where:* Organization for Computational Neurosciences (OCNS) Conference, Quebec City Conference Center, Room 2105 *When:* Saturday July 26, 2014 between 9am - 4:30pm *T9: Neuronal Model Parameter Search Techniques* Parameter tuning of model neurons to mimic biologically realistic activity is a non‐trivial task. Multiple models may exhibit similar dynamics that match experimental data – i.e., there is no single “correct” model. To address this issue, the ensemble modeling technique proposes to represent properties of living neurons with a set of neuronal models. Several approaches to ensemble modeling have been proposed over the years, but the two most prevalent parameter tuning methods are systematic “brute‐force” searches [1, 2] and various evolutionary algorithms‐based techniques [3, 4, 5, 6]. Both approaches relay on traversing a very large parameter space (with thousands to millions of model instances), but utilize diametrically different ways to accomplish that. In both cases, however, entire collections of biologically realistic models are generated, whose neural activity characteristics can then be cataloged and studied using a database [1, 2]. The tutorial covers “tips and tricks,” as well as various pitfalls in all stages of model construction, large‐scale simulations on high performance computing clusters [S2], database construction and analysis of neural data, along with a discussion about the strengths and weaknesses of the two parameter search techniques. We will review software implementations for each technique: PANDORA Matlab Toolbox [7][S1] for the brute force method and NeRvolver (i.e., evolver of nerve cells) for evolutionary algorithms. PANDORA was used in recent projects for tuning models of rat globus pallidus neurons [2][M1], lobster pyloric network calcium sensors [8][M2], leech heart interneurons [9][M3,S3] and hippocampal O‐LM interneurons (Skinner Lab, TWRI/UHN and Univ. Toronto). NeRvolver is a prototype of a computational intelligence‐based system for automated construction, tuning, and analysis of neuronal models, which is currently under development in the Computational Intelligence and Bio (logical) informatics Laboratory at Delaware State University [10]. Through the utilization of computational intelligence methods (i.e., Multi‐Objective Evolutionary Algorithms and Fuzzy Logic), the NeRvolver system generates classification rules describing biological phenomena discovered during the process of model creation or tuning. Thus in addition to producing neuronal models, NeRvolver provides–via such rules–insights into the functioning of the biological neurons being modeled. In the tutorial, we will present basic functionalities of the system and demonstrate how to analyze the results returned by the software. We will allocate enough time for Q&A and if participants bring a laptop pre‐loaded with Matlab, they can follow some of our examples. *Lecturers/Organizers:* Cengiz Günay, Anca Doloc-Mihu (Emory University, USA) Vladislav Sekulić (University of Toronto, Canada), Tomasz G. Smolinski (Delaware State University, USA) *References * [1] Astrid A. Prinz, Cyrus P. Billimoria, and Eve Marder. Alternative to hand‐tuning conductance‐based models: Construction and analysis of databases of model neurons. J Neurophysiol, 90:3998–4015, 2003. [2] Cengiz Günay, Jeremy R. Edgerton, and Dieter Jaeger. Channel density distributions explain spiking variability in the globus pallidus: A combined physiology and computer simulation database approach. J. Neurosci., 28(30):7476–91, July 2008. [3] Pablo Achard and Erik De Schutter. Complex parameter landscape for a complex neuron model. PLoS Comput Biol, 2(7):794–804, Jul 2006. [4] Tomasz G. Smolinski and Astrid A. Prinz. Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron. In Proceedings of the International Joint Conference on Neural Networks, pages 2964–2970, Atlanta, GA, 2009. [5] Tomasz G. Smolinski and Astrid A. Prinz. Multi‐objective evolutionary algorithms for model neuron parameter value selection matching biological behavior under different simulation scenarios. BMC Neuroscience, 10(Suppl 1):P260, 2009. [6] Damon G. Lamb and Ronald L. Calabrese. Correlated conductance parameters in leech heart motor neurons contribute to motor pattern formation. PLoS One, 8(11):e79267, 2013. [7] Cengiz Günay, Jeremy R. Edgerton, Su Li, Thomas Sangrey, Astrid A. Prinz, and Dieter Jaeger. Database analysis of simulated and recorded electrophysiological datasets with PANDORA’s Toolbox. Neuroinformatics, 7(2):93–111, 2009. [8] Cengiz Günay and Astrid A. Prinz. Model calcium sensors for network homeostasis: Sensor and readout parameter analysis from a database of model neuronal networks. J Neurosci, 30:1686–1698, Feb 2010. NIHMS176368,PMC2851246. [9] Anca Doloc‐Mihu and Ronald L. Calabrese. A database of computational models of a half‐center oscillator for analyzing how neuronal parameters influence network activity. J Biol Phys, 37(3):263–283, Jun 2011. [10] Emlyne Forren, Myles Johnson‐Gray, Parth Patel, and Tomasz G. Smolinski. Nervolver: a computational intelligence‐based system for automated construction, tuning, and analysis of neuronal models. BMC Neuroscience, 13(Suppl 1):P36, 2012. -Cengiz -- Cengiz Gunay Postdoctoral Fellow, Dept. of Biology Visiting Faculty, Dept. of Math & CS Emory University cgunay(a)emory.edu http://www.biology.emory.edu/research/Prinz/Cengiz/

July 24, 2014

Announcement: GENESIS 2.4 beta tutorial at CNS

by Hugo Cornelis

This is a public announcement of the GENESIS-2.4 tutorial at the Computational Neuroscience meeting (CNS) in Quebec City and the official public beta release of GENESIS 2.4. This new release includes support for spike-timing dependent plasticity in large networks of multicompartmental cells, bug fixes, comes with new python utilities and tutorial materials. The "Ultimate GENESIS Tutorial Distribution", included in this release, contains updated course materials for the tutorial Constructing biologically realistic neuron and network models with GENESIS. The tutorial brings together material that is available as separate downloads from the GENESIS web site and through the GENESIS Users Group. It includes several simulator-independent tutorials on biologically realistic neural modeling, as well as both tutorial and research simulations that have been implemented with GENESIS. The latest version of this GENESIS tutorial distribution will be available at http://genesis-sim.org/GENESIS/UGTD.html. The GENESIS tutorial at the CNS meeting is introductory and aimed at people who are new to or have only elementary knowledge about the GENESIS-2 simulator, as well as those who have used GENESIS in the past and would like to learn of new developments in cortical network modeling with GENESIS. * introduction and overview ** Why are we doing this? ** resources ** installation and configuration overview * single neuron modeling and visualization * debugging model and script * fast simulations with hsolve * network modeling * spike-timing dependent plasticity During the last hour of the tutorial, I will show in detail how to technically debug models, scripts and source code, at various levels of implementation. The latest news can always be found at http://genesis-sim.org/GENESIS/ -- Hugo -- Hugo Cornelis Ph.D. GENESIS-3 -- lead architect http://www.genesis-sim.org/ Neurospaces Project Architect http://www.neurospaces.org/

July 23, 2014

Brian tutorial at CNS meeting in Québec City

by Marcel Stimberg

**Brian tutorial at CNS meeting in Québec City** Everyone interested in simulating spiking neural networks is invited to join us for a tutorial on the "Brian simulator": 9am-4.30pm, Saturday, 26th July 2014 in Québec City The tutorial is part of the OCNS meeting's tutorials (http://www.cnsorg.org/cns-2014-tutorials) and takes place in room 2101 of the Québec City Conference Center. It will demonstrate the use of Brian 2, a major update of the Brian simulator which further improves its flexibility and adds exciting new code generation abilities. We will provide an introduction to Brian in the morning (no prior knowledge of Brian necessary) and discuss more advanced topics (including the new code generation features) in the afternoon. We recommend participants to install the current version of Brian 2 beforehand; installation instructions, the schedule and additional material can be found here: http://briansimulator.org/brian-tutorial-at-cns-2014/ Best regards, Marcel Stimberg

July 23, 2014

Faculty Position in Computational Neuroscience at the University of California, Irvine

by Jeff Krichmar

Dear Computational Neuroscientists, The following job position may be of interest to many of you. ************************** University of California, Irvine Faculty Position in Computational Neuroscience The Department of Cognitive Sciences (www.cogsci.uci.edu) at the University of California, Irvine (UCI) invites applications for a faculty position at the Associate or Full Professor level. We are especially interested in candidates who use mathematical, computational, or robotics approaches to study the neural basis of cognition in any of these areas: (1) vision, hearing, and attention; (2) memory and decision-making; (3) learning and development; (4) language. Applicants whose research relates to human behavior are preferred. A strong record of publications and extramural funding is essential. Exceptional candidates at the Assistant Professor level will also be considered. The online application includes: A cover letter, CV, research and teaching statements, 3 recent publications, and contact information for 3-5 referees. Interested candidates can apply for the position at: https://recruit.ap.uci.edu/apply/JPF02452. To ensure full consideration, please complete the application by November 15, 2014. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer committed to excellence through diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. ************************** Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

July 22, 2014

GENESIS 2.4 beta release and modeling tutorials

by Dave Beeman

There is now a stable public beta release of GENESIS 2.4 available on the web site for the GENESIS neural simulator. Although there have been development releases of GENESIS 3, this is the first new release of GENESIS 2 since the March 2006 release of GENESIS 2.3. This new release was made necessary by the many improvements and user contributions over the past few years, and the incorporation of new objects for efficiently modeling synaptic plasticity in large networks of realistic multicompartmental cells. The final release will be in November 2014. There is also a new July 2014 version of the "Ultimate GENESIS Tutorial Distribution", a complete self-paced GENESIS modeling course, combined with GENESIS binary and source distributions and installation instructions. It provides an easy way to get everything by downloading a single package. This was prepared as course materials for the tutorial "Constructing biologically realistic neuron and network models with GENESIS" to be given on July 26th at CNS 2014. These may be downloaded from the GENESIS 2 home page at http://genesis-sim.org/GENESIS/ Those who wish to follow or contribute to the development of the final release can get the latest versions at the github repository: https://github.com/dbeeman/genesis-2.4beta-files Dave Beeman ------------------------------------------------------------ Prof. David Beeman, GENESIS Users Group Dept. of Electrical, Computer, and Energy Engineering University of Colorado, Boulder, CO 80309 email: genesis(a)genesis-sim.org - dbeeman(a)colorado.edu GENESIS 2 WWW site: http://genesis-sim.org/GENESIS/ ------------------------------------------------------------

July 22, 2014

CNS-2014 - Workshop on Cortical Oscillations: Computational Models and Dynamic Mechanisms

by Horacio G. Rotstein

Dear colleague, We would like to bring to your attention the forthcoming Workshop on "Cortical Oscillations: Computational Models and Dynamics Mechanisms" as part of the Computational Neuroscience Meeting, Juy 26 - 31, Quebec City, Canada. The detailed program including the list of speaker and talk titles can be found in the following link: http://web.njit.edu/~horacio/CNS-2014/CNS-2014_WorkshopCorticalOscillations… Sincerely, Mark Kramer and Horacio Rotstein -- Horacio, NY/NJ area. "Az di bobe volt gehat beytsim volt zi geven mayn zeide" (Yiddish expression) Horacio G. Rotstein Associate Professor Department of Mathematical Sciences New Jersey Institute of Technology Newark, NJ, 07102, USA. Graduate Faculty Behavioral Neuroscience Program Rutgers University (NWK) and Federated Department of Biological Sciences Rutgers / NJIT tel: (1-973) 596-5306 e-mail: horacio(a)njit.edu horacior(a)andromeda.rutgers.edu <horacio(a)njit.edu> http://web.njit.edu/~horacio

July 22, 2014

Videos online: Workshop on Cortical Spreading Depression (CSD) and Related Neurological Phenomena

by Markus A Dahlem

*18 VIDEOS online available: * *Workshop on Cortical Spreading Depression (CSD) and Related Neurological Phenomena* http://www.fields.utoronto.ca/video-archive/event/294/2014 Organizers: K. C. Brennan (Neurology,U Utah), Markus A. Dahlem (Physics, Humboldt U, Berlin), Huaxiong Huang (Math. & Statistics, York U), Robert M. Miura (Math. Sci. and Biomedical Eng, NJIT) This workshop brought together a group of researchers from the areas of mathematical modeling and clinicians and experimentalists in neuroscience to address some of the fundamental issues related to neurovascular coupling and cortical spreading depression (CSD) and related neurological phenomenon. 1. Bernice Grafstein: Spreading depression as a holistic process: A historical perspective 2. Cenk Ayata: Spreading depression and the biological heterogeneity of cerebral blood flow response: clues for modeling 3. Huaxiong Huang: Modeling cortical spreading depression and related phenomena 4. Steven Schiff: Unification in the Observation and Control of Spikes, Seizures, and Spreading Depression 5. Jessica Seidel: Cerebral Venous Potassium Efflux During Spreading Depression 6. David Terman: Blocking spreading depolarizations in a neuron/astrocyte network model 7. Jed Hartings: Spreading depolarizations in acute brain injury: mathematical dynamic instability of cerebral cortex? 8. Béla Joós: The Nav coupled left shift model of axon damage: how minor damage can cause major grief 9. Ghanim Ullah: Towards a model-based control of neuronal systems 10. Jorge Manuel Mendez: In vivo cellular dynamics in cortical spreading depression 11. Ernest Barreto: Ion Concentration Dynamics and its Effects on Neuronal Excitability and Bursting 12. Bas-Jan Zandt: Dynamics of single neurons and populations during spreading depolarization 13. Niklas Hübel: Dynamics from seconds to hours in HodgkinHuxley model with time- dependent ion concentrations and buffer reservoirs 14. Markus A. Dahlem: Ghost behavior: Transient localized patterns of CSD in the gyrified human cortex 15. K.C. Brennan: Minimum conditions for the induction of CSD 16. Edward Dudek: Perinatal hypoxic-ischemic encephalopathy: electrographic seizures vs background supression 17. David Andrew: Spreading depolarization strength during ischemia determines higher brain susceptibility and lower brain resistance to acute injury 18. Yoichiro Mori: Modeling ionic electrodiffusion and osmosis in spreading depression If you are interested in updates and upcoming events on this topic, please sent an email to dahlem(a)physik.hu-berlin.de -- Dr. Markus A. Dahlem Humboldt-Universität zu Berlin AG NLD Cardiovascular Physics Robert-Koch-Platz 4 10115 Berlin Germany phone: +49 (0)30 2093 99185 email: dahlem(a)physik.hu-berlin.de skype: markus.dahlem web: https://sites.google.com/site/markusadahlem

July 22, 2014

OCNS Workshop on Modeling of Neuron-Glia Interactions, Quebec City, July 30-31.

by Maurizio De Pittà

Dear Sirs, I would kindly ask you to please forward the following message to the comp-neuro mailing list, and further encouraging you to share it with your colleagues. Thanks in advance for your consideration of the matter. Sincerely, Maurizio De Pitta' -------------------------------------------------------------- Dear colleague, we would like to bring at your attention the forthcoming OCNS workshop on "Computational Methods and Modeling of Astrocyte Physiology and Neuron-Glia Interactions". The workshop will take place in Quebec City (Canada) on July 30th-31st, following the main OCNS meeting. The workshop brings together a representative pool of theoreticians involved in modeling of several aspects of astrocyte physiology and neuron-glia interactions, aiming at providing a rare and original occasion to familiarize with the current state of research on the challenging topic of the functional role of neuron-glia interactions. Topics covered by this workshop include: 1. -- Calcium signaling in astrocytes (from subcellular/compartmentalized to network levels); 2. -- Neuron-glia interactions, regulation of synaptic transmission, plasticity and neuronal responses by astrocytes; 3. -- Astrocyte role in homeostasis and neurotrasmitter clearance; 4. -- Information processing by astrocytes. For the detailed program and the list of speakers, you are kindly invited to visit the workshop homepage: https://team.inria.fr/beagle/ocns-2014-workshop/ We encourage you to share this mail with your colleagues and whoever could be interested to attend our workshop. Thanks for your attention. Kind regards, Maurizio De Pitta' Hugues Berry -------------------------------------------------------------------------------- Maurizio De Pitta' - https://sites.google.com/site/mauriziodepitta Hugues Berry - http://www.inrialpes.fr/Berry -------------------------------------------------------------------------------- Project-Team BEAGLE INRIA Rhone-Alpes Université de Lyon LIRIS UMR5205 Antenne INRIA de La Doua Batiment CEI-1 66 Blvd Niels Bohr CS 52132 69603 Villeurbanne cedex France

July 22, 2014

Journal of Mathematical Neuroscience - recent articles

by Stephen Coombes

Dear all, The Journal of Mathematical Neuroscience publishes research articles on the mathematical modeling and analysis of all areas of neuroscience. The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Frequency Preference Response to Oscillatory Inputs in Two-dimensional Neural Models: A Geometric Approach to Subthreshold Amplitude and Phase Resonance Rotstein HG http://www.mathematical-neuroscience.com/content/4/1/11 Network Symmetry and Binocular Rivalry Experiments Diekman CO and Golubitsky M http://www.mathematical-neuroscience.com/content/4/1/12 Effects of Synaptic Plasticity on Phase and Period Locking in a Network of Two Oscillatory Neurons Akcay Z, Bose A and Nadim F http://www.mathematical-neuroscience.com/content/4/1/8 Approximate, not Perfect Synchrony Maximizes the Downstream Effectiveness of Excitatory Neuronal Ensembles Börgers C, Li J and Kopell N http://www.mathematical-neuroscience.com/content/4/1/10 Identification of Criticality in Neuronal Avalanches: II. A Theoretical and Empirical Investigation of the Driven Case Hartley C, Taylor TJ, Kiss IZ, Farmer SF and Berthouze L http://www.mathematical-neuroscience.com/content/4/1/9 All articles are Open Access. Best regards, Steve ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

July 18, 2014

Post-doc openings for theoretical neuroscience at UCSF and UCB

by Friedrich Sommer

Post-doctoral fellow in computational/theoretical neuroscience The Chang Lab at UCSF and the Sommer Lab at UCB are jointly seeking two (2) post-doctoral fellows in computational/theoretical neuroscience. Our groups are developing and applying novel computational methods to understand population neural data. The positions have the specific focus on understanding the dynamics of neural population data collected directly from the cortical surface of humans during the perception and production of speech at multiple temporal resolutions. These positions are fully funded as part a collaborative effort between University of California San Francisco, University of California Berkeley, and Lawrence-Berkeley National Laboratory. This Bay Area collaboration combines UCSF's strong clinical and experimental neuroscience experience with in vivo cortical electrophysiology, UCB's expertise in theoretical neuroscience, statistical learning and data analysis, and LBNL's supercomputing and applied mathematics together with electronics and microfabrication. Successful applicants will have access to the full range of facilities and expertise uniquely allowed by this collaboration. Applicants should have a Ph.D. (or equivalent degree) in a quantitative field such as computer science, electrical engineering, physics, or applied mathematics/statistics with a strong publication record. Expertise in theoretical/computational neuroscience or the analysis/modeling of complex dynamical systems is recommended; experience in analyzing the dynamics of population neural recordings is preferred. Applicants must be able to work in a collaborative, multi-disciplinary environment and exhibit good communication skills. Experience with scientific programing languages (e.g. C/C++, python, Matlab) is required. Expertise in speech/language and/or high-performance computing is not required, but is beneficial. To apply, please submit a CV and three letters of reference to: changed(a)neurosurgery.ucsf.edu fsommer(a)berkeley.edu ----------------------------------------------------------------------------------------------------------------- Friedrich T. Sommer, Ph.D, Adjunct Professor Redwood Center for Theoretical Neuroscience & Helen Wills Neuroscience Institute UC Berkeley 575A Evans Hall, MC #3198 Berkeley, CA 94720-3198 http://redwood.berkeley.edu/wiki/Fritz_Sommer -----------------------------------------------------------------------------------------------------------------

July 18, 2014

Neurocomputing special issue CFP

by Zhijun Yang

Dear Colleagues, May we draw your attention to a Neurocomputing special issue CFP: Advances on Biological Rhythmic Pattern Generation: Experiments, Algorithms and Application. The full announcement can be found as an internet link below. http://www.journals.elsevier.com/neurocomputing/call-for-papers/special-iss… Instructions for submission: • The submission website for Neurocomputing is located at: http://ees.elsevier.com/neucom/default.asp • To ensure that all relevant manuscripts are correctly identified for inclusion into this special issue, it is important that authors select SI: Creating Biology Rhythm when reaching the “Article Type” step in the submission process. We look forward to receiving your contributions to what promises to be an exciting special issue. Best regards, Zhijun Yang -- Zhijun Yang, BEng, MSc, PhD, Lecturer in Design Engineering Department of Design Engineering and Mathematics School of Science and Technology Middlesex University, London NW4 4BT, UK Voice: +44 (0)7882681333 --------------------------------------------------------------------------- Please note that Middlesex University's preferred way of receiving all correspondence is via email in line with our Environmental Policy. All incoming post to Middlesex University is opened and scanned by our digital document handler, CDS, and then emailed to the recipient. If you do not want your correspondence to Middlesex University processed in this way please email the recipient directly. Parcels, couriered items and recorded delivery items will not be opened or scanned by CDS. There are items which are "exceptions" which will be opened by CDS but will not be scanned a full list of these can be obtained by contacting the University.

July 17, 2014

Postdoc position in neural inspired computation

by Aimone, James Bradley

A postdoctoral research position is available for research on neural algorithm development for a neural-inspired computing hardware project within the cognitive modeling group at Sandia National Laboratories. The successful applicant will join a broad interdisciplinary team that includes computational neuroscientists, computer scientists, and electrical engineers focused on developing methods for hardware acceleration of neural algorithms. He or she will be expected to leverage research from the broader neuroscience research community to develop computational approaches for addressing real-world problems. Previous experience both in neuroscience research and in data analytics / machine learning domains is ideal. For more information, please contact Dr. Brad Aimone (technical contact, jbaimon(a)sandia.gov<mailto:jbaimon@sandia.gov> ) or Dr. John Wagner (department manager, jswagne(a)sandia.gov<mailto:jswagne@sandia.gov>). For the full posting, necessary qualifications and application information, go to careers.sandia.gov and search for posting ID 646640 -------------------------- James Bradley Aimone, Ph.D. Senior Member of Technical Staff Cognitive Modeling Department Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728

July 17, 2014

Research Specialist position at Princeton University

by Francisco Pereira

A Research Specialist position is available in Matthew Botvinick's lab in the Princeton Neuroscience Institute, in collaboration with Francisco Pereira at Siemens Corporate Technology. This is a position within a team participating in the IARPA Knowledge Representation in Neural Systems program. The goal of the program is to develop models of how the brain represents conceptual knowledge, and how that knowledge is used when carrying out tasks like reading a sentence. These models will be tested using brain imaging data. The main role in this position is as a programmer writing the code needed to build such models, while also being involved in experiment design and data analysis. Examples of tasks you might be asked to do: - prepare text corpora for use in developing models - implement evaluation tasks that the models developed will be benchmarked with - collect material from online resources and behavioral experiments - prepare stimuli for brain imaging experiments or model building - help in designing and carrying out brain imaging and behavioral experiments - analyze behavioral and brain imaging experimental data It is an unusual position in that you will be gaining experience in both machine learning and cognitive neuroscience. In addition to the core research goals, we will also be delivering a concrete system to the funding agency, and hence this will be a fast-paced project. You will be working directly with the PIs and also graduate students and research scientists in the team. Essential qualifications are experience developing software in MATLAB or Python (Perl is also useful), as well as an undergraduate degree in computer science, biomedical engineering, cognitive neuroscience or a related field. Preferred qualifications are knowledge in natural language processing, machine learning, and collection, preprocessing and analysis of brain imaging data (e.g. SPM, FSL or AFNI). The final candidate will be required to pass a background check successfully. This is a 1 year position, starting as soon as possible, with an additional year possible contingent on funding availability and performance. To apply, please go to https://jobs.princeton.edu/applicants/jsp/shared/Welcome_css.jsp and use “Search Open Positions” with requisition number 1400452. Please email francisco.pereira(a)gmail.com with any pre-application inquiries.

July 16, 2014

1st Call for Abstracts for the 7th Int'l Workshop on Guided Self-Organisation (Freiburg, Dec 16-18, 2014)

by Joschka Boedecker

<apologies for possible cross-posting> Dear colleagues, This is an announcement and Call for Abstracts for the Seventh International Workshop on Guided Self-Organisation (GSO-2014) to be held from December 16-18, 2014 in Freiburg, Germany. http://ml.informatik.uni-freiburg.de/events/gso14/index The workshop will bring together researchers from a richly diverse background who share interest in understanding and designing self-organising systems. Of particular interest are well-founded, but general methods for characterizing such systems in a principled way with the view of ultimately allowing them to be guided toward prespecified goals. Information theory, nonlinear dynamics and graph theory are core to many of these methods, and quantifying complexity and its sources is a common theme. This year, the workshop is organised in collaboration with the BrainLinks-BrainTools cluster of excellence at University of Freiburg ( https://www.brainlinks-braintools.uni-freiburg.de/ ), and one focus theme will be guided self-organisation in neural systems. Submissions to the workshop are extended abstracts (one-two pages). If interested in participating, send an extended abstract (by September 7th, 2014) by email to: jboedeck at informatik dot uni-freiburg dot de The notifications are expected by September 21st, 2014. Authors of accepted submissions will present the content to the workshop (scheduled 30 minutes presentation). It is expected that post-workshop publication of selected papers will follow in a special journal issue (as has been the case for previous GSO workshops). Please consult the website above and also http://guided-self.org/ for more information. Best wishes, Joschka Boedecker Mikhail Prokopenko Martin Riedmiller

July 16, 2014

Re: [Comp-neuro] Two Postdoctoral Positions in Computational Modeling of Primate Motor Control

by Yaroslav Molkov

Two postdoctoral/research associate positions in computational neuroscience for the duration of up to three years are available in the externally funded project focusing on multiscale computational modeling of motor control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex, and spinal cord in connection with realistic simulation of pathological changes in motor control during Huntington’s disease. This collaborative project is performed jointly by the groups of Drs. Ilya Rybak (Dept. of Neurobiology and Anatomy, Drexel University, Philadelphia, PA, USA) and Yaroslav Molkov (Dept. of Mathematical Science, Indiana University – Purdue University, Indianapolis, IN, USA). Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline and have excellent C++ programming skills. Previous experience in computational neuronal modeling is a plus. Interested candidates are encouraged to contact Dr. Rybak (rybak(a)drexel.edu) or Dr. Molkov (ymolkov(a)iupui.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. Drs. Rybak and Molkov will be available to answer questions and discuss this job opportunity with potential candidates at the CNS’2014 meeting in Quebec City, Canada (July 26-31). ================================= Ilya A. Rybak, Ph.D. Professor Department of Neurobiology and Anatomy Drexel University College of Medicine 2900 Queen Lane Philadelphia, PA 19129, USA Tel.: (215) 991-8596 FAX: (215) 843-9082 E-mail: rybak(a)drexel.edu Yaroslav Molkov, Ph.D. Assistant Professor Indiana University - Purdue University Indianapolis Department of Mathematical Sciences 402 N. Blackford St, LD 270, Indianapolis, IN 46202 Office: LD 224U Phone: (317) 274-6934 Fax: (317) 274-3460 Email: ymolkov(a)iupui.edu

July 15, 2014

Linking Brain Models and Data: An Invitation from James Bonaiuto and Michael A. Arbib

by James Bonaiuto

The USC Brain Project has just released a new version of their neuroinformatics tool, the Brain Operation DataBase (BODB) v4.0. BODB is a tool for modelers and experimentalists to document computational models of the brain and their linkages to summaries of experimental data. Models can be compared in terms of these relations, and experimental data summaries can be visualized in a variety of ways. Groups of users can build collaboratory workspaces which allow them to share groups of models and data and work together to develop new models. This latest version of BODB includes many new features: - Improved search functionality: users can now search federated databases such as CoCoMac (macaque neural connectivity) and Brede (human brain imaging) directly as well as use boolean combinations of search terms - Users can now maintain a list of their favorite entries outside any workspace - Model and BOP diagrams: users can generate clickable and zoomable graphs showing the relationships between brain operating principles (BOPs) and between models and summaries of empirical data (SEDs) - ERP SED visualization: users can view the locations of ERP components on a standard electrode placement system - Improved workspaces: workspaces now include an activity stream, discussion board, and bookmarks. Workspaces administrators can send invitations to other users to join the workspace. - ModelDB import: users can search ModelDB for models and import them to BODB for documentation of their linkage to SEDs - New Documentation System: the new system is far more extensive, is linked from pages on BODB, and users can now search the documentation - Web API: it is now possible to return BODB entries in JSON aand XML format through a simple URL protocol An overview of our general methodology for the neuroinformatics of brain modeling can be found at http://www.ncbi.nlm.nih.gov/pubmed/24234915. It is just one paper from a special issue of Neuroinformatics (Volume 12, Number 1, January 2014) on “Action, Language and Neuroinformatics” (Michael Arbib, Guest Editor). The Manual for BODB can be found at http://bodb.usc.edu/media/BODB_Manual.pdf. We invite you to register for a free account on BODB and add your own models and experimental data: http://bodb.usc.edu ------------------------------------------------------ James Bonaiuto, PhD Research Associate Sobell Department of Motor Neuroscience and Movement Disorders UCL Institute of Neurology 33 Queen Square, London WC1N3BG, United Kingdom

July 15, 2014

2014 SFN Meeting Workshop: NSG Portal for parallel simulations

by Ted Carnevale

What: Using the Neuroscience Gateway Portal for Parallel Simulations A Satellite Symposium at the 2014 Society for Neuroscience Meeting Where: Lodation to be announced in downtown Washington, DC When: 9 AM - Noon on Saturday, November 15, 2014 Speakers to include: A. Majumdar, S. Sivagnanam, and T. Carnevale Registration deadline: Friday, October 31, 2014 This workshop is intended for neuroscientists who are already using, or would like to use, the Neuroscience Gateway Portal (NSG http://www.nsgportal.org/) for parallel simulations. The NSG portal eliminates most administrative and technical barriers that face neuroscientists who need to use high performance computing resources for large modeling projects. Its web-based interface simplifies the tasks of uploading models, specifying job parameters, monitoring job status, and storing and retrieving output data. Simulators currently installed include Brian, MOOSE, GENESIS3, NEST, NEURON, and PyNN. The workshop will combine didactic presentations by NSG's developers, discussions with experienced users, and hands on instruction in how to use the portal. For more information and the online registration form see http://www.neuron.yale.edu/neuron/static/courses/nsg2014/nsg2014.html --Ted

July 14, 2014

NEURON course at 2014 SFN Meeting

by Ted Carnevale

Using NEURON to Model Cells and Networks Satellite Symposium, Society for Neuroscience Meeting 9 AM - 5 PM on Friday, November 14, 2014 Speakers include Ted Carnevale, Bill Lytton, and Gordon Shepherd This course emphasizes practical issues that are key to the most productive use of NEURON, an advanced simulation environment for realistic modeling of biological neurons and neural circuits. Through lectures and live computer demonstrations, we will address topics that include the following: Partial list of topics that will be covered: * Efficient design and implementation of models of neurons and networks. * Constructing and managing models with NEURON's GUI, hoc, and Python. * Using the built-in variable-order variable-timestep integrator for improved speed and accuracy. * Parallelizing models of cells and networks to take advantage of multicore PCs and Macs, workstation clusters, and parallel supercomputers. * Expanding NEURON's repertoire of biophysical mechanisms, including an introduction to using the new RxD feature to implement models that involve reactive diffusion. * Databases for empirically-based modeling. Each registrant will receive a comprehensive set of notes. Registration is limited to 25 individuals on a first-come, first-serve basis. The registration deadline is Friday, October 31, 2014. NO on-site registration will be accepted. For more information and the online registration form, see http://www.neuron.yale.edu/neuron/static/courses/dc2014/dc2014.html --Ted

July 14, 2014

PhD open positions on event-driven robotics

by Chiara Bartolozzi

There are few PhD positions with scholarship for developing event-driven sensors and computation for the humanoid robot iCub at the Italian Institute of Technology. The call, application form and tips on the documentation to send are at the following link: http://www.iit.it/en/openings/phd-calls/2030-phd-course-topic-information.h… 1. Event-driven vision sensors for humanoid robots Tutors: Chiara Bartolozzi Department: iCub Facility (Istituto Italiano di Tecnologia) http://www.iit.it/en/research/departments/icub-facility.html Description: Carrying out real-world tasks robustly and efficiently is one of the major challenges of robotics. Biology clearly outperforms artificial computing and robotic systems in terms of appropriateness of the behavioural response, robustness to interference and noise, adaptation to ever changing environmental conditions, or energy efficiency. All these properties arise from the characteristics of the radically different style of sensing and computation used by the biological brain. In conventional robots, sensory information is available in a sequence of static frames and high dynamics can be sensed only by increasing the sampling rate. Unfortunately the available bandwidth limits the amount of information that can be transmitted forcing a compromise between resolution and speed. The goal of the proposed theme is the development of bio-inspired event-driven artificial vision sensors that will be mounted and validated on the humanoid robot iCub. The goal is to convey to the robot the most informative signal that it can use to robustly interact with the world. The research will focus on the design of mixed-mode analog/digital circuits for photo-transduction and focal-plane processing. Different architectures and circuits will be considered for the pixel design, evaluating the trade-off between complexity (and fill-in factor) and sensor pre-processing capabilities. Additionally, ad hoc digital asynchronous logic circuits and interfaces based on the "Address Event Representation" protocol will be developed for optimally interfacing the sensor with the robot. Requirements: degree in Electronic Engineering, Physics (or equivalent) and background in Analog and/or Digital Circuit Design, possibly on FPGA programming (VHDL, Verilog). High motivation to work on a robotic platform. Reference: C. Posch, D. Matolin, and R. Wohlgenannt, "A QVGA 143 dB Dynamic Range Frame-Free PWM Image Sensor With Lossless Pixel-Level Video Compression and Time-Domain CDS," IEEE J Solid-State Circuits, vol. 46, no. 1, pp. 259-275, Jan. 2011 Contacts: chiara.bartolozzi(a)iit.it<mailto:chiara.bartolozzi@iit.it> 2. Building the neuromorphic iCub Tutors: Chiara Bartolozzi Department: iCub Facility (Istituto Italiano di Tecnologia) http://www.iit.it/en/research/departments/icub-facility.html Description: Carrying out real-world tasks robustly and efficiently is one of the major challenges of robotics. Biology clearly outperforms artificial computing and robotic systems in terms of appropriateness of the behavioural response, robustness to interference and noise, adaptation to ever changing environmental conditions, or energy efficiency. All these properties arise from the characteristics of the radically different style of sensing and computation used by the biological brain. In conventional robots, sensory information is available in a sequence of static snapshots and high dynamics can be sensed only by increasing the sampling rate. Unfortunately the available bandwidth limits the amount of information that can be transmitted forcing a compromise between resolution and speed. The goal of the proposed theme is the integration of event-driven sensors and computing platforms on the humanoid robot iCub. The goal is to convey to the robot the most informative signal that it can use to robustly interact with the world and provide adequate computing platforms such as the SpiNNaker system. The research will focus on the development of the infrastructure for optimally interfacing event-driven hardware modules based on the Address Event Representation protocol on the iCub. Requirements: degree in Electronic Engineering, Physics (or equivalent) and background on FPGA programming (VHDL, Verilog). High motivation to work on a robotic platform. Reference: C. Bartolozzi, F. Rea, C. Clercq, M. Hofstätter, D. B. Fasnacht, G. Indiveri, and G. Metta, "Embedded neuromorphic vision for humanoid robots," in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2011, pp. 129-135 Contacts: chiara.bartolozzi(a)iit.it<mailto:chiara.bartolozzi@iit.it> 3. Event-driven vision for the iCub Tutors: Chiara Bartolozzi, Lorenzo Natale Department: iCub Facility (Istituto Italiano di Tecnologia) http://www.iit.it/en/research/departments/icub-facility.html Description: Interacting with a dynamical environment is one of the major challenges of robotics. Biology clearly outperforms robotic systems when acting in real scenarios in terms of appropriateness of the behavioural response, robustness to interference and noise, adaptation to ever changing environmental conditions, and energy efficiency. All these properties arise from the characteristics of the radically different style of sensing and computation used by the biological brain. In conventional robots, sensory information is available in a sequence of static snapshots and high dynamics can be sensed only by increasing the sampling rate. However the available bandwidth limits the amount of information that can be transmitted forcing a compromise between resolution and speed. Event-driven vision sensors transmit information as soon as a change occurs in their visual field, achieving incredibly high temporal resolution, coupled with extremely low data rate and automatic segmentation of significant events. The proposed theme aims at the exploitation of highly dynamical information from event-driven sensors for robust interaction of the humanoid robot iCub with moving objects. The goal is to develop new techniques for the recognition and prediction of trajectories of moving targets including humans and objects and plan for precise reaching movements, by exploiting the high temporal resolution and compressive signal encoding of event-driven vision sensors mounted on the iCub. The research will focus on the development of the infrastructure for handling event-driven sensory data and of event-driven vision algorithms for motion estimation as well as algorithms for trajectory prediction. Real time behaviour will be achieved by using compressive event driven computation and on-board processing on FPGA. Requirements: degree in Computer Science or Engineering (or equivalent) and background in Computer Vision and/or Machine Learning. High motivation to work on a robotic platform and good computer and FPGA programming skills Reference: Benosman, R.; Clercq, C.; Lagorce, X.; Sio-Hoi Ieng; Bartolozzi, C., "Event-Based Visual Flow," Neural Networks and Learning Systems, IEEE Transactions on , vol.25, no.2, pp.407,417, Feb. 2014, doi: 10.1109/TNNLS.2013.2273537 Contacts: chiara.bartolozzi(a)iit.it<mailto:chiara.bartolozzi@iit.it> , lorenzo.natale(a)iit.it<mailto:lorenzo.natale@iit.it> 4. New techniques for vision-assisted speech processing for the iCub Tutors: Chiara Bartolozzi, Leonardo Badino Department: iCub Facility (Istituto Italiano di Tecnologia) http://www.iit.it/en/research/departments/icub-facility.html Description: Robust speech detection in realistic environments for human robot interaction is still a challenging task. Vision is currently used for improving speech recognition in noisy acoustic environments, however, the temporal content of the visual information is severely limited by the temporal discretization of the frame-based acquisition. Event-driven vision sensors transmit information as soon as a change occurs in their visual field, achieving incredibly high temporal resolution, coupled with extremely low data rate and automatic segmentation of significant events. The goal of the proposed theme is the exploitation of highly dynamical information from event-driven vision sensors for robust speech processing for the humanoid robot iCub. The goal is to extract visual features and cues from the stream of visual events that are related to speech production landmarks and exploit them for further improving speech recognition. The research will focus on the development of the infrastructure for handling event-driven sensory data and of novel algorithms for extraction of visual features from event-driven cameras. Requirements: degree in Computer Science or Engineering (or equivalent) and background in Auditory Processing and/or Machine Learning. High motivation to work on a robotic platform and good computer and FPGA programming skills. Reference: G. Potamianos, C. Neti, G. Gravier, A. Garg, and A.W.Senior in Proceedings of the IEEE Vol. 91 No. 9 September 2003 pp. 1306-1326 Benosman, R.; Clercq, C.; Lagorce, X.; Sio-Hoi Ieng; Bartolozzi, C., "Event-Based Visual Flow," Neural Networks and Learning Systems, IEEE Transactions on , vol.25, no.2, pp.407,417, Feb. 2014, doi: 10.1109/TNNLS.2013.2273537 Contacts: chiara.bartolozzi(a)iit.it<mailto:chiara.bartolozzi@iit.it> , leonardo.badino(a)iit.it<mailto:leonardo.badino@iit.it> Chiara Bartolozzi Researcher Istituto Italiano di Tecnologia Via Morego, 30 16163 Genoa, Italy Ph: +39 010 7178-1474

July 14, 2014

Two Postdoctoral Positions in Computational Modeling of Primate Motor Control

by Yaroslav Molkov

Two postdoctoral/research associate positions in computational neuroscience for the duration of up to three years are available in the externally funded project focusing on multiscale computational modeling of motor control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex, and spinal cord in connection with realistic simulation of pathological changes in motor control during Huntington’s disease. This collaborative project is performed jointly by the groups of Drs. Ilya Rybak (Dept. of Neurobiology and Anatomy, Drexel University, Philadelphia, PA, USA) and Yaroslav Molkov (Dept. of Mathematical Science, Indiana University – Purdue University, Indianapolis, IN, USA). Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline and have excellent C++ programming skills. Previous experience in computational neuronal modeling is a plus. Interested candidates are encouraged to contact Dr. Rybak (rybak(a)drexel.edu) or Dr. Molkov (ymolkov(a)iupui.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. Drs. Rybak and Molkov will be available to answer questions and discuss this job opportunity with potential candidates at the CNS’2014 meeting in Quebec City, Canada (July 26-31). ================================= Ilya A. Rybak, Ph.D. Professor Department of Neurobiology and Anatomy Drexel University College of Medicine 2900 Queen Lane Philadelphia, PA 19129, USA Tel.: (215) 991-8596 FAX: (215) 843-9082 E-mail: rybak(a)drexel.edu Yaroslav Molkov, Ph.D. Assistant Professor Indiana University - Purdue University Indianapolis Department of Mathematical Sciences 402 N. Blackford St, LD 270, Indianapolis, IN 46202 Office: LD 224U Phone: (317) 274-6934 Fax: (317) 274-3460 Email: ymolkov(a)iupui.edu

July 13, 2014

Job offer in Juelich, Germany - IT-Solutions Architect (f/m)

by Martina Reske

The Institute of Neuroscience and Medicine (INM) investigates the structure and function of the brain. The department INM-6 is conducting research in the field of Computational and Systems Neuroscience with currently four work groups and one Helmholtz Young Investigator Group (www.csn.fz-juelich.de<http://www.csn.fz-juelich.de>). The Ju?lich Supercomputing Centre (JSC) as part of the Institute for Advanced Simulation (IAS) offers high performance computing resources for scientific and technical applications which are among the most powerful in Europe and worldwide. The Simulation Lab Neuroscience at JSC is dedicated to enabling and supporting the Computational Neuroscience community in leveraging these resources for their research. These institutes are jointly looking for an IT-Solutions Architect (f/m) Your Job: * Design and development of web solutions * Implementation of web sites on the basis of open source solutions (e.g., WordPress/MediaWiki) * Integration of own and third-party components into the web sites * Writing of scripts/programs (e.g. in Python) in a neuroscience environment * Interaction with scientists to find the optimal solution for different situations * Proactive updates and creation of content for web sites in the field of neuroscientific simulation software * Creation of documentation of simulation of software in collaboration with scientists * The successful candidate will work half-time for INM-6 and the Simulation Lab Neuroscience at JSC, respectively. Your Profile: * Completed training in mathematical-technical software development or Bachelor in the area of Computer Science or comparable qualification * Very good knowledge of the relevant web technologies: PHP, MySQL, (X)HTML, JavaScript, CSS * Experience with the administration of web servers under Linux (LAMP) Experience with a common content management system (e.g., WordPress, MediaWiki, Typo3) * Good knowledge of shell and scripting languages like bash and Python * Fluently spoken and written English * Background in neuroscience or another natural science would be a plus * Interest in working with an interdisciplinary team of researchers with highest scientific standards Our Offer: * A diverse range of activities in a creative, interdisciplinary, international team * Forschungszentrum Jülich offers an excellent scientific research infrastructure on a green campus close to Cologne, Düsseldorf and Aachen * Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Forschungszentrum Jülich aims to employ more women in this area and therefore particulary welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application, preferably online via our online recruitment system (see here: http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2014-115-EN…) quoting the reference number 2014-115. Martina Reske -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

July 11, 2014

Job announcement

by Quel

[sorry for cross-posting] On the behalf of Hospital Israelita Albert Einstein, *Open position for Professor of Neurosciences in Sao Paulo, Brazil.* A full time endowed position for “Professor of Neurosciences” is available at the Brain Institute at the Albert Einstein Institute for Research and Education (InCe – IIEPAE), São Paulo, Brazil. We seek an outstanding senior researcher as a professor of the Institute. Job description The main goals include the development of research in neuroscience involving ageing processes in the brain and methods to promote healthy ageing. Additional focus includes study of neurodegenerative diseases. The position requires a record of scientific excellence and management experience, as well as vision and motivation to lead and shape a team of researchers. The candidate is expected to lead a strong, internationally competitive research programme, attract external funding and promote an interactive and synergistic research environment in order to develop clinical neuroscience into a center of excellence in biological aspects of ageing. Good communication skills are required to interact with a multidisciplinary team of experienced neurologists, neurosurgeons, scientists, engineers, physicists and psychologists. *Required skills/Qualifications* • Senior researcher with PhD • Experience working as a leading researcher • A strong track record of publications, ideally h-index > 20 Desired skills/Qualifications • MD title • Portuguese speaking *Salary* Salary is provided by a donation (equivalent to a top salary for a physician in Brazil USD120,000.00 – 180,000.00 per year). The position is renewable. The appointment is for 24 months at first. *About Hospital Israelita Albert Einstein* Hospital Israelita Albert Einstein ranks number one in Latin America, was the first hospital outside of USA accredited by the Joint Commission International and possesses a number of ISO certifications. The Brain Institute-IIEPAE has a state-of-the art whole body 3T MR system equipped with 32 channel head coil with protected time for research, integrated with a 64 channel EEG-fMRI system. The facilities also include an fMRI eye-tracking system, TMS and in house stimulus delivery systems for advanced applications. Radiopharmacy laboratories for basic research and clinical application, an experimental core facility with a cell culture laboratory and genome sequencing and an AAALAC certified experimental facility are also available. The institution also holds a postgraduate programme in health sciences, recognized by the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), giving the opportunity to supervise postdoc, PhD and master students. *Apply for position:* The position is open until 31st of July. The top 20 CV will be selected and evaluated by a committee. Please e-mail CV, NIH Biosketch, statement of research interests and contact information of references to: ince(a)einstein.br with “Professor of Neurosciences” in the subject line Brain Institute - Albert Einstein Jewish Institute for Education and Research Hospital Israelita Albert Einstein – www.einstein.br Phone: +55 11 2151-3727 Best regards, Anna *Anna Ringheim Cadete* Coordinator - Brain Institute - IIEP SBIB Hospital Albert Einstein

July 10, 2014

Job opening: 7 PhD positions in Dutch research consortium "Language in Interaction"

by Lorenz, C.M.

Seven PhD Positions in the Dutch Research Consortium 'Language in Interaction' Closing date: 30 September 2014 For more information: http://www.languageininteraction.nl/jobs/id-2nd-phd-call-general.html We are looking for highly motivated PhD candidates to enrich a unique consortium of researchers that aims to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. The Netherlands has an outstanding track record in the language sciences. This research consortium sponsored by a large grant from the Netherlands Organization for Scientific research (NWO) brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. The research team consists of 43 Principal Investigators. In addition to the excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else. Currently, the consortium advertises seven PhD positions for a period of 4 years. Depending on the PhD position applied for, candidates will be appointed at one of the home institutions of the consortium. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Click for more information on the PhD positions and how to apply: http://www.languageininteraction.nl/jobs/id-2nd-phd-call-general.html

July 10, 2014

Multiscale analysis of neural spike trains

by Reza Ramezan

Dear Colleagues, I would like to highlight the following paper from our group published in Statistics in Medicine (not a mainstream neuroscience journal). Interested people can receive a free (electronic) copy upon request. Kindest Regards, Reza Ramezan ------------------------------------------------------------------------------------ *Multiscale analysis of neural spike trains* <http://onlinelibrary.wiley.com/doi/10.1002/sim.5923/abstract> Ramezan R, Marriott P, Chenouri S (2014) *Summary:* This paper studies the multiscale analysis of neural spike trains, through both graphical and Poisson process approaches. We introduce the interspike interval plot, which simultaneously visualizes characteristics of neural spiking activity at different time scales. Using an inhomogeneous Poisson process framework, we discuss multiscale estimates of the intensity functions of spike trains. We also introduce the windowing effect for two multiscale methods. Using quasi-likelihood, we develop bootstrap confidence intervals for the multiscale intensity function. We provide a cross-validation scheme, to choose the tuning parameters, and study its unbiasedness. Studying the relationship between the spike rate and the stimulus signal, we observe that adjusting for the first spike latency is important in cross-validation. We show, through examples, that the correlation between spike trains and spike count variability can be multiscale phenomena. Furthermore, we address the modeling of the periodicity of the spike trains caused by a stimulus signal or by brain rhythms. Within the multiscale framework, we introduce intensity functions for spike trains with multiplicative and additive periodic components. Analyzing a dataset from the retinogeniculate synapse, we compare the fit of these models with the Bayesian adaptive regression splines method and discuss the limitations of the methodology. Computational efficiency, which is usually a challenge in the analysis of spike trains, is one of the highlights of these new models. In an example, we show that the reconstruction quality of a complex intensity function demonstrates the ability of the multiscale methodology to crack the neural code. *Keywords: *inhomogeneous Poisson process; multiscale analysis; periodogram; almost periodic intensity function; retinogeniculate synapse; spike train -- Reza Ramezan Department of Statistics and Actuarial Science University of Waterloo Waterloo, Ontario N2L 3G1 Canada Office: M3 3018 Phone: (519) 888-4567, ext. 39358 E-mail: rramezan(a)uwaterloo.ca Web: http://www.neuroinformatics.ca

July 9, 2014

2 PhD positions in Computational Neuroscience in Juelich, Germany

by Martina Reske

Dear community, we are seeking two PhD candidates to support our team! Project 1: In the framework of the Klinische Forschergruppe (KFO) 219 "Basal ganglia-cortex loops: Mechanisms of pathologic interactions and their therapeutic modulation" we have an open PhD student position in work package 9: "Mathematical modeling of development and suppression of pathological activation in basal ganglia – cortex loops“. This project focuses on the generation of pathological beta band oscillations in basal ganglia and their susceptibility to suppression by means of pharmacological challenges or deep brain stimulation. Specifically, this projects aims to model dynamics in basal ganglia – thalamus – cortex loops drawing on computational neuroscience approaches and data deriving from other work packages within the research consortium. We are seeking for a candidate with a master’s degree in physics, mathematics or computer science. The candidate will develop microscopic network models and will be supervised by the projects leaders, particularly by a postdoctoral fellow supervising the entire work package as well as Prof. Morrison. Programming expertise is appreciated. The candidate will be primarily based at the Jülich Research Center to foster interactions with theoretical neuroscientists. In addition, the candidate is expected to work jointly with project partners at the University Clinic of Cologne. We offer a position in a creative and international team, themes ranging from computational neuroscience to simulation technology. The Jülich Research Center is one of the largest research centers in Germany, with excellent scientific equipment, located on a green campus, and near the cultural centers Köln, Düsseldorf, and Aachen. The PhD position is available for 3 years, starting as soon as possible. Applications, including a motivation letter, CV, publication list, copies of university certificates, and one reference letter should be sent as a single PDF email attachment (max. 10MB) mentioning the internal reference code KFO219-TP9 to should be sent to: Dr. Martina Reske (m.reske(a)fz-juelich.de) – Scientific Coordinator The call is open until the position has been filled. Project 2: Project title: Neural circuit mechanisms of reinforcement learning Project description: Reinforcement learning is considered to play a major role in decision-making, and impairments in RL have been associated with various neuropsychiatric disorders including addiction and depression. Since it was found that the activity of midbrain dopamine (DA) neurons appears to represent the reward prediction error, various brain regions in the cerebral cortex and the basal ganglia have been shown to represent several variables appeared in mathematical formulations of RL algorithms. However, underlying mechanisms at the cellular and circuit levels within and between each of those regions remain largely unknown. In this project, we address this issue by developing and study neuronal network models of learning from reward and punishment in the brain's basal ganglia network. The project will be carried out by the group Functional Neural Circuits at the Institute for Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) led by Prof. Abigail Morrison, together with our Japanese collegues (Kenji Morita, University of Tokyo). The project is supported by German Ministry of Science (BMBF) in the framework of the German-Japan cooperation in Computational Neuroscience. The project incorporates tools and methods from different fields, ranging from neuroscience to physics and mathematical modeling to build large scale simulations of neural networks. Supervision is provided by Prof. Abigail Morrison and Dr. Jenia Jitsev, both having considerable experience in neural network modeling, with focus on plasticity and learning. We seek a highly motivated candidate with curiosity and persistence. A preferable candidate will have background and strong Master degree in either in neuroscience, physics, mathematics, biology, computer science or a related field of natural science. The candidate should have experience in basic software engineering techniques (minimal requirement is ability to write clear well-structured code in either C++ or Python). Furthermore, a solid basis in mathematical modelling (handling differential equations, basics of stability analysis) is essential. The most important requirement is the ability to learn new things and to find ways to solve novel problems. The PhD position is available for 3 years, starting as soon as possible. During the PhD, you will also have opportunity to visit conferences, workshops, summer schools and labs of our partners in Tokyo and benefit from their experience, too. You will be a part of a creative and young team, rich with inspiration for the different state-of-the art topics in experimental and theoretical neuroscience, and have the opportunity to take part at the forefront of current neuroscientific research. Research Center Jülich, Germany, is located on a green campus and hosts excellent facilities, including the Jülich Supercomputing Center, and is part of newly starting EU Human Brain Project, the largest neuroscientific initiative to study the brain funded in Europe. Jülich is close to large urban centers like Cologne, Aachen and Düsseldorf and offers thus a rich cultural environment to spend time in. Applications, including a motivation letter, a CV, copies of university certificates, and one letter of reference should be sent as a single PDF email attachment (max. 10MB) mentioning the internal reference code BRDJ-PhD to: Dr. Martina Reske (m.reske(a)fz-juelich.de) – Scientific Coordinator The call is open until the position has been filled. -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

July 9, 2014

Call for Nominations: TANG Prize for Achievements in Psychology

by Christopher Honey

APPLICATIONS INVITED FOR INAUGURAL TANG PRIZE FOR ACHIEVEMENTS IN PSYCHOLOGY – CALL FOR NOMINATIONS The Department of Psychology at the University of Toronto is pleased to announce the call for nominations for the 2014 inaugural TANG Prize for Achievements in Psychology. As a Department at a public university, we believe in furthering the science of Psychology in service of enhancing human wellbeing. Applications are encouraged from internationally-recognized scholars in Psychology or a closely-related field who have shown creativity, and rigour in their approach and whose record of achievement has left an indelible mark on the field. This award has been made possible through generous support from the TANG Foundation. The TANG Foundation is a charitable institution with the mandate to raise awareness of the importance of psychological wellbeing in the world. The recipient of the TANG Prize for Achievements in Psychology will be awarded a cash prize of $100,000 CAD at a ceremony held on the University of Toronto campus on November 12, 2014. During the campus visit, the recipient will be asked to meet with University of Toronto students and to hold a public lecture. Applicants should outline in no more than two pages the ways in which they have a major impact on the progress of psychology, anywhere in the world, particularly in its application to the psychological wellbeing of humanity. This application letter should highlight how the applicant has contributed to the science, practice, or application of Psychology as it pertains to the understanding, promotion, restoration, or application of psychological methods, research, and techniques in addressing challenges related to wellbeing at the individual or community level. In addition to this application letter, applications should also include a current CV. Nomination packages (application letter and CV) should be submitted electronically in one email by August 15, 2014 to tangprize(a)psych.utoronto.ca. Applicants should also ask three referees, who must be internationally acknowledged experts in the field, to send reference letters directly to the Department via email to tangprize(a)psych.utoronto.ca by August 30, 2014. Up to three additional supporting letters of endorsement from individuals who have been directly impacted by the applicant’s scholarly work and/or who have knowledge of the direct impact of the applicant’s scholarly work can be sent to the same email address by August 30, 2014. For more information on this award, about the Department of Psychology at the University of Toronto, and the TANG Foundation, please visit www.psych.utoronto.ca/tangprize.

July 8, 2014

Mini-Conference “The Many Faces of Computation” @ UCSD July 14 & 15

by Santamaria, Cookie

The BioCircuits Institute, Physical Chemistry and The Lindenberg Lab Group Present: Mini-Conference: “The Many Faces of Computation” http://www.kawai.phy.uab.edu/workshops/UCSD2014/ Organizers: Christian Van den Broeck and Katja Lindenberg Contacts: Cookie Santamaria cookie(a)ucsd.edu<mailto:cookie@ucsd.edu> or Katja Lindenberg klindenberg(a)ucsd.edu<mailto:klindenberg@ucsd.edu> July 14-15, 2014 University of California, San Diego Urey Room 2102 Urey Hall<http://maps.ucsd.edu/mapping/viewer/default.htm?mkey=1&lc=open&km=open&rc=c…> Monday July 14 9-10 a.m. Welcome and light snacks 10-11 a.m. Christian Van den Broeck “A short introduction to large deviations” 11 a.m.-12 noon Raul Toral “Efficient sampling of phase space” 12 noon-2 p.m. Lunch break and discussion time 2-3 p.m. Alberto Imparato “Efficiency at maximum power in molecular motors” 3-4 p.m. Ilkay Altintas “Workflow-driven science” 4-5 p.m. Discussion time Tuesday July 15 9-10 a.m. Welcome and light snacks 10-11 a.m. Emre Neftci “From VLSI spiking neurons to practical applications and cognition” 11 a.m.-12 noon Michael Gilson ”Plumbing the depths of entropy and enthalphy in molecular recognition” 12 noon-2 p.m. Lunch break and discussion time 2-3 p.m. Daniel Escaff “Down from systems of infinite to finite numbers of elements: Computational aspects of the analysis of resultant fluctuations” 3-4 p.m. Tristan Webb “Utilizing purely functional parallel strategies for spiking neural network simulations” 4-5 p.m. Discussion time

July 7, 2014

CNS 2014 workshop on using the NSG for parallel simulations

by Ted Carnevale

The Neuroscience Gateway Portal (NSG) eliminates most administrative and technical barriers to High Performance Computing (HPC) resources, so that computational neuroscientists can readily use simulators such as Brian, GENESIS 3, NEST, NEURON, and PyNN to carry out parallel simulations. To find out how the NSG can accelerate your own modeling project, come to the workshop "Running parallel simulations on HPC resources via the Neuroscience Gateway Portal" which starts at 9 AM on Wednesday, July 30, at the CNS 2014 meeting. The workshop will include a presentation on the NSG itself, plus * presentations by modelers who are using NSG in their research projects --Timothy Rumbell, Mount Sinai School of Medicine, New York, USA: "Modeling of cortical neurons in aging monkeys", --Marianne Bezaire, University of California Irvine, Irvine, USA: "Using the NSG for a large-scale parallel computer model of the CA1 network," * a presentation by a member of the development team of one of the simulators that is available through the NSG --Marcel Stimberg, École Normale Supérieure and Institut de la Vision, Paris, France: "The Brian 2 spiking neuronal network simulation tool" Relevant webpages: http://www.cnsorg.org/cns-2014-workshops-program http://www.nsgportal.org/workshop.html

July 7, 2014

ACCV 2014 Workshop: Intelligent Mobile & Egocentric Vision (IMEV 2014)

by Cheston Tan

Call for Papers ACCV 2014 Workshop: Intelligent Mobile & Egocentric Vision (IMEV 2014) November 1 or 2, 2014, Singapore http://mml.citi.sinica.edu.tw/IMEV2014/home.htm The goal of IMEV 2014 is to identify and promote novel computer vision algorithms, systems and frameworks, which are particularly suitable for intelligent and interactive information processing on mobile and wearable computing platforms. This is the 3rd workshop in the series: this year, we expand the scope to include egocentric vision, an exciting emerging topic in computer vision.IMEV 2014 aims to bring together researchers to present latest developments and technical solutions in the domain of intelligent mobile and egocentric vision, including novel algorithms, applications, and systems. Research topics relevant to, but not limited to, the following areas are welcome: Mobile Vision - Feature extraction on mobile devices - Motion analysis and recovery for mobile cameras - Gesture/object/location recognition with mobile cameras - 3D mobile vision - Augmented reality on mobile devices - Human computer interaction with mobile devices - Computer vision applications on hand-held devices - Indexing and retrieval of images and videos for mobile devices - Multi-sensor integration for mobile vision - Hardware and embedded systems for mobile vision - Mobile vision incorporated with robot vision - Related MPEG standards- CDVS (Compact Descriptors for Visual Search) and CDVA (Compact Descriptors for Video Analysis) - Other topics related to mobile vision. Egocentric Vision - Visual feature learning from FPV videos - Egocentric video summarization, life-logging - Social activity analysis from FPV videos - Activity recognition in first-person vision - Eye-gaze tracking & attention modeling - Object recognition & tracking in FPV videos - Scene understanding in first-person video - Human Computer Interaction issues in first-person vision - Privacy issues in first-person video - Other topics related to egocentric vision. Submission should be in the ACCV 2014 format. Please consult the ACCV submission website for the exact formatting and template. IMEV 2014 workshop paper submission website is via the CMT system: https://cmt.research.microsoft.com/IMEV2014. The proceedings will be published by Springer in the Lecture Notes in Computer Science (LNCS) series. Preliminary Important Dates: Paper Submissions Sep 1, 2014 - 23:59 PDT (GMT+8) Author Notification Sep 15, 2014 - 23:59 PDT (GMT+8) Camera Ready Sep 20, 2014 - 23:59 PDT (GMT+8)

July 6, 2014

post-doctoral fellowships in neural correlates of hearing at U. Penn

by Yale Cohen

We are seeking highly motivated post-doctoral fellows to participate in a research program that tests the neural bases of sound perception. This research will be conducted at the University of Philadelphia. The goals of these projects are to test the contribution of various regions of the auditory cortex and prefrontal cortex to sound perception in non-human primates. Candidates should have a PhD. Those with an MD will be considered but only if the candidates have a strong scientific background. A strong candidate will have experience in systems and computational neuroscience; recording and analysis of single- and multi-unit activity and local-field potentials from awake, behaving animals (in particular non-human primates); experience in training animals on operant tasks; analysis of behavioral data and electrophysiological data; computational-analysis skills; and programming skills. We are interested in individuals who have a good personality and can interact well with other members of the laboratory. The positions are funded through two new R01s and are available immediately. One of the grants is funded to Yale Cohen. The second is funded to both Yale Cohen and Yonatan Fishman. Salary will be based on experience and the NIH post-doctoral scale. The University of Pennsylvania has an outstanding environment for neuroscience; in particular, systems and computational neuroscience. The environment is further enriched by the PIs’ ongoing collaborations with other members of the Penn Neuroscience community. For more information or to apply, contact Yale Cohen (YaleECohen(a)gmail.com) or Yon Fishman (yonatan.fishman(a)einstein.yu.edu) Interested applicants should send a CV; a brief statement of research interests; and names of 2-3 referees.

July 4, 2014

Reminder CfP BCBT2014 Summer School, Barcelona, Spain

by BCBT, Bústia Compartida

Dear all, applications and scholarships to attend the BCBT2014 summer school are now open. Do not miss it! Kind regards BCBT2014 *Barcelona Cognition, Brain and Technology Summer School (BCBT2014)* University Pompeu Fabra, Barcelona, Spain. September 1-12, 2014 http://bcbt.upf.edu/bcbt14/ We would like you to join us for the annual *"Barcelona Cognition, Brain and Technology summer school - BCBT2014 *" to be held from September 1-12, 2014 in Barcelona Spain. The summer school is at its seventh edition and is part of a series of events organized by the European coordination action Convergent Science Network of Biomimetics and Neurotechnology (http://csnetwork.eu/) BCBT is positioned at the interface between biology and future and emerging technologies with an emphasis on the principles underlying brains and their translation to avant-garde technologies. BCBT promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. This is the 7th year of BCBT, which ran with great success in previous years thanks to an excellent line-up of outstanding speakers (see bcbt.upf.edu for previous editions of the school). BCBT lectures are available online (see http://csnetwork.eu/) as well as the CSN *Podcast interviews *with many of the BCBT speakers.. BCBT caters to the students and researchers involved in projects that are in the ambit of “Bio-ict convergence”, "Brain Inspired ICT", “Cognitive systems-robotics”. BCBT will offer up to 30 student slots for the practical workshops while as many researchers can register to attend the presentations and discussion sessions as are interested. For the lectures the limit will be placed at 60-70 given the capacity of the available lecture theatre. The atmosphere of the BCBT summer school is informal with the goal to stimulate in-depth discussion. There are presentations in the morning, usually 2, with the afternoons reserved for tutorials and projects for student participants and road-mapping workshops or further discussion for senior scientists. For the 2014 edition we plan a *1st week* of the school addressing *Evolutionary and Developmental aspects of nervous systems and behavior *(*Session 1*, 1-5 Sept*)*, while the *2nd week* will include presentations aimed at the investigation of *Core Brain Systems* with emphasis on the basal ganglia (*Session 2*, 8-9 Sept) followed by roadmapping sessions (*Session 3*, 10-11 Sept). Friday 12 is reserved for the presentation of the student projects to which everybody is invited. *Application deadline: August 2nd, 2014* For more information and to apply, please go to http://bcbt.upf.edu/bcbt14 *BCBT offers a number of scholarships.* These are CSN scholarships <http://csnetwork.eu/scholarships> and may cover travel expenses, accommodation and registration fee.http://bcbt.upf.edu/bcbt14 BCBT2014 is supported by the Convergent Science Network of Biomimetics and Neurotechnology (http://csnetwork.eu/) and is co-organized by Paul Verschure (BCBT Chair) SPECS, University Pompeu Fabra Barcelona, ES Tony Prescott (BCBT Co-Chair) University of Sheffield, UK Leah Krubizer (BCBT Co-Chair) UC Davis, CA, USA Anna Mura (BCBT Co-Chair) SPECS, University Pompeu Fabra Barcelona, ES

July 4, 2014

[job offer] Open-Source 3D printed humanoid robotics: Experienced engineer in electronics

by Pierre-Yves Oudeyer

Job offer at Inria Flowers, France within Poppy Project: Open-Source 3D printed humanoid robotics, http://www.poppy-project.org === Title: Experienced electronics engineer (2 years) === Apply at: pierre-yves.oudeyer(a)inria.fr and matthieu.lapeyre(a)inria.fr === Context The Flowers lab is a mixed team (Inria/Ensta ParisTech) composed of about 20 researchers and engineers. Flowers is a research team internationally renowned in developmental and humanoid robotics. It collaborates with several European, American and Asian laboratories, and coordinates several European projects. The team is also very active in the dissemination of science among the general public, and regularly participates in exhibitions and collaborations with artists as acting to make younger discover robotics. Web: https://flowers.inria.fr === Mission The research work conducted in the Flowers team led to the conception of Poppy (http://www.poppy-project.org/) one of the first humanoid robot in the world to be both open-source and 3D printed. It aims to become a community and multi-disciplinary platform for exploration and experimentation in robotics for Research, Art and Educational purposes. In its current version, Poppy is about 80cm tall for 3.5 kg. It has 25 joints motorized by Robotis smart-actuators (http://www.robotis.com/xe/dynamixel_en) These servo-motors, although effective, cost about 5.000€ on the 7.500€ of Poppy. Poppy is a low-cost robot in the world of research, however for its educational, training and scientific mediation missions, the cost limit its diffusion. Several improvements should be made in order to take down it cost and make Poppy even more accessible. In a team with a mechanical engineer and relying on existing work as Open Servo (http://openservo.com/) and Supermodified (http://letsmakerobots.com/node/18615) your role will be to work on control and automation of Poppy 2. You will also take involved in the execution of projects related to Poppy, and in a international working environment. === Description Conception of the general electronics architecture of the next versions of Poppy and working on low-cost actuator integration. Development of the library and low level control and integration with pypot (https://github.com/poppy-project/pypot) Profile • Practical experience in the design of electronics boards (electronic design automation (Eagle or KiCad), routing design rules, protection (ESD, short-cut), noise filtering) • Theoretical and practical experience with embedded systems (programming microcontroller, low-level communication, sensors, real time) • Control and design of medium power electronics (control loop, H bridge, design of heat sink) • Familiarity with the Arduino environment • Familiarity with the Python programming language • English proficiency • Team work Requirements • Minimum 2 years of experience • Master degree Benefits • Partial support of transportation costs. • Food restauration available on site. • Dynamic and pleasant working ambiance Additional Information • Duration of contract: 24 months • Estimated date of employment: 1 October 2014 • Monthly gross salary: 2600 euros to 3500 euros (depending on experience). For more information about the position, contact pierre-yves.oudeyer(a)inria.fr and matthieu.lapeyre(a)inria.fr

July 4, 2014

New journal: Neuropsychiatric Electrophysiology

by Martijn Arns

Dear colleagues, I wanted to point your attention to this new open access journal that was just started with Nash Boutros as Editor in Chief: Neuropsychiatric Electrophysiology: http://www.npepjournal.com<http://www.npepjournal.com/> (NPEP) is an open access journal for researchers and clinicians interested in the applications of electrophysiological techniques for probing basic electrophysiological aberrations in neuropsychiatric disorders. The journal will span basic neuroscience theory, technology and methodology, as well as clinical research and practice, with a focus on moving electrophysiology laboratory findings from the bench to bedside. NPEP welcomes research utilizing various diagnostic and therapeutic techniques as they apply to neuropsychiatric conditions, as well as studies bridging the gap between electrophysiology and neuroimaging, genetics and pharmacology. Kind regards, Martijn Arns, PhD Director / Researcher Twitter: @Brainclinics Research Institute Brainclinics Brainclinics Treatment Bijleveldsingel 34 6524 AD Nijmegen The Netherlands Tel: +31(0)24-7503505 GSM: +31 (0)6-48177919 Fax: +31(0)24-8901447 E-mail: martijn(a)brainclinics.com<mailto:martijn@brainclinics.com> URL: www.brainclinics.com<http://www.brainclinics.com>

July 4, 2014

[publication and call for dialog] IEEE CIS Newsletter on Autonomous Mental Development 10th anniversary !

by Pierre-Yves Oudeyer

Dear colleagues, It is my pleasure to announce the release of the latest issue of the IEEE CIS Newsletter on Autonomous Mental Development, which is now celebrating its 10th anniversary ! This is the biannual newsletter of the computational developmental sciences and developmental robotics community, studying mechanisms of lifelong learning and development in machines and humans. It has progressively become a place of lively and inspiring scientific dialogues spanning an incredible network of topics over the years, with the contributions of many key actors of computational developmental sciences. It is available at: http://www.cse.msu.edu/amdtc/amdnl/AMDNL-V11-N1.pdf Highlights of this issue: === Dialog initiated by Katarina Pastra, with responses from Rick Dale, Katharina Rohlfing et al., Gary Lupyan, Catriona Silvey, Kerstin Fischer and Emmanuel Dupoux. === "How are Grammatical Constructions Linked to Embodied Meaning Representations?" This dialog explores various facets of the interaction between the formation of linguistic and conceptual/sensorimotor structures, and in particular the hypothesis that language as a communication system may have evolved as a byproduct of language as a tool for organising conceptual structures. === New dialog initiated by Katharina Rohlfing, Britta Wrede and Gerhard Sagerer === “Trained on everything" In the years to come, one very important challenge in developmental sciences is education. Taking an integrated and interdisciplinary approach requires to handle with dexterity concepts and methods from diverse scientific fields ranging from psychology, neuroscience, biology, robotics, computer science or mathematics. How can we grow a community of young researchers mastering the latest advances? How can we teach them to establish cross-disciplinary collaboration and impact? These are the questions raised in the new dialogue initiation. Those of you interested in reacting to this dialog initiation are welcome to submit a response (contact pierre-yves.oudeyer(a)inria.fr) by Septembet 15th, 2014. The length of each response must be between 600 and 800 words (including references). Let me remind you that previous issues of the newsletter are all open-access and available at: http://www.cse.msu.edu/amdtc/amdnl/ I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Autonomous Mental Development Research director, Inria Head of Flower project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com https://flowers.inria.fr http://www.poppy-project.org

July 3, 2014

CFP: DATA STREAMS TRACK - ACM SAC 2015

by Carlos Ferreira

================================================== ACM Symposium on Applied Computing 2015 The 30th Annual ACM Symposium on Applied Computing in Salamanca, Spain, April 13 – 17, 2015. http://www.acm.org/conferences/sac/sac2015/ Data Streams Track http://www.cs.waikato.ac.nz/~abifet/SAC2015/ =================================================== CALL FOR PAPERS The rapid development in information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include sensor networks, wireless networks, radio frequency identification, health- care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions. TOPICS OF INTEREST We are looking for original, unpublished work related to algorithms, methods and applications on data streams. Topics include (but are not restricted) to: * Data Stream Models * Languages for Stream Query * Continuous Queries * Clustering from Data Streams * Decision Trees from Data Streams * Association Rules from Data Streams * Decision Rules from Data Streams * Bayesian networks from Data Streams * Feature Selection from Data Streams * Visualization Techniques for Data Streams * Incremental on-line Learning Algorithms * Single-Pass Algorithms * Temporal, spatial, and spatio-temporal data mining * Scalable Algorithms * Real-Time and Real-World Applications using Stream data * Distributed and Social Stream Mining IMPORTANT DATES (strict) 1. Paper Submission: September 12, 2014 2. Author Notification: November 17, 2014 3. Camera‐ready copies: December 8, 2014 PAPER SUBMISSION GUIDELINES Papers should be submitted in PDF using the SAC 2015 conference management system: http://www.softconf.com/f/sac2015/. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper format for a number of document preparation systems at: http://www.acm.org/sigs/pubs/proceed/template.html For accepted papers, registration for the conference is required and allows the paper to be printed in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper to be included in the ACM/IEEE digital library. No-show of scheduled papers will result in excluding the papers from the ACM/IEEE digital library. STUDENT RESEARCH COMPETITION Graduate students seeking feedback from the scientific community on their research ideas are invited to submit original abstracts of their research work in areas of experimental computing and application development related to SAC 2015 Tracks. The SRC program is designed to provide graduate students the opportunity to meet and exchange ideas with researcher and practitioners in their areas of interest. All research abstract submissions will be reviewed by researchers and practitioners with expertise in the track focus area to which they are submitted. Authors of selected abstracts will have the opportunity to give poster and oral presentations of their work and compete for three top wining places. The SRC committee will evaluate and select First, Second, and Third place winners. The winners will receive cash awards and SIGAPP recognition certificates during the conference banquet dinner. Authors of selected abstracts are eligible to apply to the SIGAPP Student Travel Award program for support. Graduate students are invited to submit research abstracts (minimum of two pages; maximum of four pages) following the instructions published at SAC 2015 website. Submission of the same abstract to multiple tracks is not allowed. Submissions must address original and unpublished research work related to a SAC track, with emphasis on the innovation behind the research idea. The submission should address the research problem being investigated, the proposed approach and research methodology, and sample preliminary results of the work. In addition, the abstract should reflect on the originality of the work, innovation of the approach, and applicability of the results to real-world problems. All abstracts must be submitted thought the START Submission system. If you encounter any problems with your submission, please contact the Program Coordinator.

July 3, 2014

PhD Studentship in Peripheral Nerve Decoding Algorithms

by Simon Schultz

Dear all, The following 4-year PhD studentship (for start October 2014) is open. Note that the studentship is open to EU students. Cheers, Simon Peripheral nerve decoding algorithms for bioelectronic medicines Supervisors: Simon Schultz (Bioengineering), Nick Jones (Mathematics), Hannah Tipney (GSK) This project is one of 12 studentships for 2014/15 in the new EPSRC Centre for Doctoral Training in Neurotechnology for Life and Health (see http://www3.imperial.ac.uk/neurotechnology/cdt) Bioelectronic medicine, in which devices connected to groups of individual nerve fibres are used to control the patterns of electrical signals to restore health to organs and biological functions, has been suggested to have the potential to make major advances in the treatment of conditions resistant to drugs, including diabetes, obesity, hypertension and pulmonary diseases (Famm et al, Nature 496:159-61, 2013). The development of bioelectronic medicines, however, is contingent upon the existence of suitable technology for monitoring and perturbing activity in peripheral nerve fibres; in particular, being able to "read out" and interpret signals carried by a peripheral nerve fibre is an essential milestone. In this project, we will develop decoding algorithms capable of reading out both continuous physiological signals, and discrete "events", from peripheral nervous system (PNS) electrical signals. These algorithms will be applied to a variety of datasets collected by members of a research network in Bioelectronic Medicines that has been established by GlaxoSmithKline, plc. The project will involve two phases. The first year will comprise an MRes Project, in which the student will gain a deep understanding of the different approaches that can be taken to decoding physiological signals, testing algorithms on simulated data, which will be generated in the course of the project; we expect this computational model of a peripheral nerve to be a major output of the MRes year. In the following years, and exploiting and advancing a new signal processing architecture, the student will develop refined decoding algorithms optimised for use with peripheral nerve signals at several spatial scales, and will work with research groups across the GSK network to apply these algorithms to real PNS datasets. Contact Dr Simon Schultz, s.schultz(a)imperial.ac.uk for more information on the project. Who should apply? The CDT programme is not a standard PhD programme. Throughout the 4 years, there is considerable emphasis upon multidisciplinary and transferrable skills, through centre activities beyond the individual research project. Applicants should be seeking to undertake a multidisciplinary 4-year research training programme at the interface between neuroscience and engineering. Applicants should have or expect to obtain a first or upper second class degree in an engineering or physical sciences discipline. Students with a biological or medical sciences background will be considered in exceptional circumstances, provided they can demonstrate substantial quantitative skills. Funding The studentship will cover tuition fees and a tax free stipend of approximately £16,000 per year. A generous annual allowance will be provided for research consumables and for conference attendance. How to apply Please visit: http://www3.imperial.ac.uk/registry/admissions/howtoapplypg to make your application via the Imperial College online "Embark" system. Once in the application form, candidates should select the option: "MSc, MRes - to be followed by Research (I have 4 years funding)" from the preliminary questions section and then choose Programme Title: "Neurotechnology [1plus3] (MRes 1YFT)|H6NT|SK|FT|CN". Please contact Kate Hobson (k.hobson(a)imperial.ac.uk) if you have questions about the application process. Deadline for applications: 31st July 2014

July 3, 2014

New book "Understanding Vision: theory, models, and data"

by Zhaoping Li

This book "Understanding Vision: theory, models, and data" is published by Oxford University Press in May 2014 and, by now, it is available from various online sites and shops worldwide. For more information, go to http://www0.cs.ucl.ac.uk/staff/zhaoping.li/VisionBook.html The book's Table of Contents can be viewed at http://www0.cs.ucl.ac.uk/staff/zhaoping.li/prints/TableOfContents.pdf Teaching and learning support for the book (e.g., ppt files for the figures in the book) is also available and will be updated at http://www0.cs.ucl.ac.uk/staff/zhaoping.li/VisionBook.html . Readership: Computational neuroscientists, visual psychologists/cognitive scientists, Visual neuroscientists/physiologists/anatomists, Researchers in machine vision or computer vision or robot vision The book is written in such a way that vision scientists, unfamiliar with mathematical details, should be able to conceptually follow the theoretical principles and their relationship with physiological, anatomical, and psychological observations, without going through the more mathematical pages. For those with a physical science background, especially those from machine vision, this book serves as an analytical introduction to biological vision. It can be used as a textbook or a reference book in a vision course, or a computational neuroscience course for graduate students or advanced undergraduate students. It is also suitable for self-learning by motivated readers. In addition, for those with a focused interest in just one of the topics in the book, it is feasible to read just the chapter on this topic without having read or fully comprehended the other chapters. In particular, Chapter 2 presents a brief overview of experimental observations on biological vision; Chapter 3 is on encoding of visual inputs, Chapter 5 is on visual attentional selection driven by sensory inputs, and Chapter 6 is on visual perception or decoding. Please let me know if you need more information. best wishes, Li Zhaoping

July 3, 2014

[meetings] Living Machines III: Final call for Participation in Conference, Demos and Workshops

by Nathan F Lepora

_____________________________________________________________ Final Call for Participation in Conference, Demos and Workshops Living Machines: The 3rd International Conference on Biomimetic Robotics and Biohybrid Systems. A Convergent Science Network Event 29th July to 1st August 2014 Museo Nazionale della Scienza e della Tecnologia, Leonardo Da Vinci Milano http://csnetwork.eu/livingmachines/conf2014 *** Deadine for early registration extended to July 15th 2014 *** ______________________________________________________________ News & Highlights * Deadline for early registration extended to July 15th, 2014. * Book on time accommodation for good value and availability. see LM2014 for suggestions http://csnetwork.eu/livingmachines/conf2014/accommodation * Main conference programme now online, 6 plenary talks, 1 invited talk, 18 single-track oral presentations, 10 poster spotlights, 40 posters. * 4 satellite workshops also available for registration as separate events, topics include autonomous locomotion systems, the robot self, emergent social behavior, and biomimetics in design. * Bring a demo, be it a robot or an installation, for an exhibition on biomimetic robots, biohybrid computer art, live robot performance or videos. * If you wish to bring a demo please contact us. info.csnetwork(a)upf.edu * If you need help with transporting your demo to Milano contact us at info.csnetwork(a)upf.edu * You can book the social dinner as a separate event. Contact info.csnetwork(a)upf.edu for all enquiries. ABOUT LIVING MACHINES 2014 The 3rd International Conference on Biomimetic and Biohybrid systems comprises 4 days of events including 3 days of single-track oral presentations with 6 plenary speakers; a 1-day with five satellite workshops on themes ranging from autonomous robots to robot “selves” to biomimetics in design and social impacts of living machines. On Wednesday there will be a reception offered by the Tailor & Francis group http://www.taylorandfrancis.com/ and, on Thursday there will be the LM2014 banquet. We hope you will join us for this exciting programme! The conference registration site is open. Please register soon to take advantage of early registration—deadline July 15th ***From every accepted paper at least 1 author must be registered and present at the Conference*** CONFERENCE PROGRAMME **Program now available online** http://csnetwork.eu/livingmachines/conf2014/programme The main conference will take the form of a single-track oral presentation programme, 30th July to midday 1st August 2014 that will include 6 plenary lectures from leading international researchers in biomimetic and biohybrid systems. Agreed speakers are: Mandyam Srinivasan Queensland Brain Institute, Australia Insect-inspired cognition and vision Andrew Schwartz University of Minnesota, Pittsburgh, USA Neural control of prosthetics Sarah Bergbreiter University of Maryland, USA Microrobotics Darwin Caldwell Italian Institute of Technology, Genova, Italy Legged Locomotion Ricard Sole Universitat Pompeu Fabra, Barcelona, Spain Evolution of complex networks Minoru Asada Osaka University, Japan. Cognitive and Affective Developmental Robotics There will also be 18 regular talks of 30 min, 1 invited talk on Thursday at midday on Biomimetics in Design by Franco Lodato, 10 Poster Spotlights of 5 min and 2 poster sessions of 90 mins each (midday of July 30st and August 1st) featuring 40 posters. Particular themes include: Soft Robotics Neuromechanics Social Robotics Locomotion Biohybrid Brain-based Active Sensing WORKSHOPS In addition to the main conference there is one further day of workshops, each with their own full program that will be available soon on the Living Machines website. Monday 29th July Embodied Interaction and Internal Models: Key Features of Autonomous Locomotion Systems - Organisers: Volker Dürr, Biological Cybernetics, Bielefeld University, Germany, Paolo Arena, Electrical Engineering, University of Catania, Italy The Robot Self - Organizers: Tony Prescott, University of Sheffield, UK; Paul Verschure Universitat Pompeu Fabra Barcelona, CSNII Emergent social behaviours in bio-hybrid systems - Organizers: José Halloy: Universite Paris Diderot. Thomas Schmickl: Karl-Franzens-University Graz, Stuart Wilson, University of Sheffield Rotational Geometry and the Creation of Bionic Models. - Organizers: Pino Trogu, San Francisco State University, USA, Franco Lodato, Creative Director VSN Mobil with Istituto Europeo di Design, Milano Neuro-chip interfaces and Neuroprostheses - Organizers: Stefano Vassanelli, University of Padova, Italy Attendance at workshops will attract a small fee intended to cover the costs of the meeting. We have reserved meeting rooms at the Italian Institute of Technology in Milan each with capacity for up to 40 people. Please book early. Separate registration for satellite events is possible. ABOUT THE VENUE The organisers are delighted to have secured the Museo Nazionale della Scienza e della Tecnologia, Leonardo Da Vinci Milano as the main venue for our conference. The museum is a centre dedicated to Leonardo da Vinci a symbol of the connection between artistic and scientific-technological cultures, two complementary expressions of human creativity. KEY DATES June 30th 2014 Deadline for early registration July 30th - August 1st 2014 Conference We are looking forwards to seeing you in Milano. ORGANISING COMMITTEE Tony Prescott (co-chair) Paul Verschure (co-chair) Armin Duff (programme chair) Roberto Cingolani (local organizer) Barbara Mazzolai (workshops) Nathan Lepora (communications) Anna Mura (communications and web-site) Contact and Conference Secretariat: Info.csnetwork(a)upf.edu living-machines(a)sheffield.ac.uk

July 3, 2014

NEURAL COMPUTATION - August 1, 2014

by Terry Sejnowski

Neural Computation - Contents -- Volume 26, Number 8 - August 1, 2014 Available online for download now: http://www.mitpressjournals.org/toc/neco/26/8 ----- Articles Bayesian Active Learning of Neural Firing Rate Maps With Transformed Gaussian Process Priors Mijung Park, J. Patrick Weller, Gregory D. Horwitz, and Jonathan Pillow How to Compress Sequential Memory Patterns Into Periodic Oscillations: General Reduction Rules Kechen Zhang Letters The Competing Benefits of Noise and Heterogeneity in Neural Coding Eric G Hunsberger, Matthew Scott, and Chris Eliasmith Anatomical Constraints on Lateral Competition in Columnar Cortical Architectures Dylan Richard Muir, Matthew Cook ROC-Based Estimates of Neural-Behavioral Covariations Using Matched Filters Kamal Farah, Jackson Smith, and Erik Cook Tonically Balancing Intracortical Excitation and Inhibition by GABAergic Gliotransmission Meihong Zheng, Takami Matsuo, Ai Miyamoto, and Osamu Hoshino Information-theoretic Semi-supervised Metric Learning via Entropy Regularization Gang Niu, Bo Dai, Makoto Yamada, and Masashi Sugiyama Incremental Learning by Message Passing in Hierarchical Temporal Memory Erik Mikael Rehn, Davide Maltoni ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2014 - VOLUME 26 - 12 ISSUES USA Others Electronic Only Student/Retired $70 $193 $65 Individual $124 $187 $115 Institution $1,035 $1,098 $926 Canada: Add 5% GST MIT Press Journals, 238 Main Street, Suite 500, Cambridge, MA 02142-9902 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-orders(a)mit.edu ------------

July 3, 2014

CFP: BICT 2014

by Jun Suzuki

CFP: 8th International Conference on Bio-inspired Information and Communications Technologies (BICT 2014, formerly BIONETICS) http://www.bionetics.org/ December 1 (Mon) - December 3, 2014 (Wed) Boston, MA, USA In-corporation with ACM BICT 2014 aims to provide a world-leading and multidisciplinary venue for researchers and practitioners in diverse disciplines that seek the understanding of key principles, processes and mechanisms in biological systems and leverage those understandings to develop novel information and communications technologies (ICT). BICT 2014 targets two thrusts: THRUST 1: Indirect/Weak Bioinspiration (ICT designed after biological principles, processes and mechanisms). Examples include evolutionary computation, artificial gene regulatory networks, neural computation, swarm intelligence, cellular automata, artificial immune systems, artificial life, artificial chemistry, reaction-diffusion computing, simulated annealing, self-organization and network science. THRUST 2: Direct/Strong Bioinspiration (ICT utilizing biological materials and systems). Examples include cellular computing, molecular computing/communication, membrane computing, DNA computing and memory, bacterial computing, Physarum computing and quantum computing. Expected, but not exclusive, topics are: * Signal/information processing and communication for bio-inspired ICT * Algorithms and their applications for bio-inspired ICT * Formal models and methods for bio-inspired ICT * Bio-inspired software and hardware systems * Modeling, simulations and empirical experiments of bio-inspired ICT * Self-* and stability properties in bio-inspired ICT * Security, robustness and resilience in bio-inspired ICT * Design, configuration and management issues in bio-inspired ICT * Software engineering and performance engineering in bio-inspired ICT * Tools, testbeds and deployment aspects in bio-inspired ICT * Applications, experiences and standardization of bio-inspired ICT * Socially-aware, game theoretic and other metaphor-assisted interdisciplinary research Application domains include, but not limited to, autonomic computing, bioinformatics, biomedical engineering, computer networks, computer vision, data mining, e-health, green computing and networking, grid/cloud computing, intelligent agents, mechanical engineering, molecular communication, nano-scale computing and networking, optimization, pervasive computing, robotics, security, social networks, software engineering and systems engineering. IMPORTANT DATES: Regular paper submission due: August 4 Short and poster/demo paper submission due: September 22 Notification for regular papers: September 15 Notification for short and poster/demo papers: October 6 Camera ready due: October 13 SPECIAL TRACKS: In addition to the regular track that covers general/mainstream topics, BICT 2014 features the following special tracks that focus on specific, emerging or underrepresented topics. * Artificial, Biological and Bio-Inspired Intelligence (ABBII) * Artificial Intelligence and Software Engineering (AISE) * Body Area Soft Computing (BASC) * Biologically-Inspired Process Calculi (BIPC) * Bio-Inspired Machine Vision (BIMV) * Bio-inspired/Biomimetic Microsystems & Microdevices (BMM) * Bio-inspired Wireless Network Security (BWNS) * Complex Adaptive Systems (CAS) * Engineering Applications from Molecular and Gene Regulatory Networks (EMNET) * Molecular Communication and Networking (MCN) * Morphogenetic Collective Systems (MCS) * Modularization for Practical Software Engineering (MPSE) * Resilient Networks (RN) * Swarm and Modular Robotics (SAMR) * Smart Body Area Networks (SBAN) * Security and Privacy in Bio-inspired Networks (SPBN) PAPER SUBMISSION: Authors are invited to submit regular papers (up to 8 pages each), short papers (up to 4 pages each) or poster/demo papers (up to 2 pages each) in ACM's paper template. Up to two extra pages are allowed for each paper with extra page charges. See http://bionetics.org/2014/show/initial-submission for more details. PUBLICATION: All accepted paper will be published through ACM Digital Library and submitted for indexing by SI, EI Compendex, Scopus, ACM Library, Google Scholar and many more. Selected papers will be considered for publication in leading journals including: * ACM/Springer Mobile Networks and Applications * Elsevier Information Sciences * Elsevier Nano Communication Networks Journal * Int'l Journal of Software Engineering and Knowledge Engineering * Cloud-integrated Cyber-Physical Systems (Springer book) KEYNOTE SPEAKERS: * Andrew Adamatzky, University of the West of England, Bristol, UK * Gabriel Ciobanu, Romanian Academy, ICS, Iasi, Romania * Andrew Eckford, York University, Canada * Valeriy Perminov, BioTeckFarm, Ltd., Russia * Hiroki Sayama, SUNY Binghamton, USA * Theresa Schubert, Bauhaus-Universität Weimar, Germany * Jon Timmis, University of York, UK * Honggang Wang, University of Massachusetts, Dartmouth, USA * Justin Werfel, Harvard University, USA GENERAL CHAIR: Jun Suzuki, University of Massachusetts, Boston, USA PC CHAIR: Tadashi Nakano, Osaka University, Japan PC VICE CHAIRS: Andrew Adamatzky, University of the West of England, UK Gabriel Ciobanu, Romanian Academy, Institute of Computer Science, Romania Douglas Dow, Wentworth Institute of Technology, USA Hiroaki Fukuda, Shibaura Institute of Technology, Japan Tyler Garaas, Mitsubishi Electric Research Laboratories, USA Preetam Ghosh, Virginia Commonwealth University, USA Isao Hayashi, Kansai University, Japan Yu-Hsiang Hsu, National Taiwan University, Taiwan Saori Iwanaga, Japan Coast Guard Academy, Japan Masao Kubo, National Defense Academy, Japan Paul Leger, Universidad Católica del Norte, Chile Shih-Hsi "Alex" Liu, California State University, Fresno, USA Michael L. Mayo, US Army Engineer Research and Development Center, USA Parisa Memarmoshrefi, University of Goettingen, Germany Marjan Mernik, University of Maribor, Slovenia Alan Millard, University of York, UK Michael Moore, Marc Pomplun, University of Massachusetts Boston, USA Florian Raudies, Boston University, USA Hiroshi Sato, National Defense Academy, Japan Hiroki Sayama, SUNY Binghamton, USA Tomohiro Shirakawa, National Defense Academy of Japan, Japan Jon Timmis, University of York, UK Athanasios Vasilakos, University of Western Macedonia, Greece Honggang Wang, University of Massachusetts Dartmouth, USA Jun Zhou, Shanghai Jiao Tong University, China -- Jun Suzuki Associate Professor of Computer Science University of Massachusetts, Boston jxs(a)cs.umb.edu http://www.cs.umb.edu/~jxs/ http://dssg.cs.umb.edu/ @JunSuzukiBoston

July 2, 2014

The Philosophy and Science of Self-Control project Sub-grant and Prize Competition

by pssc

Call for Letters of Intent Dr. Alfred Mele of the Florida State University Department of Philosophy is directing The Philosophy and Science of Self-Control project, a new grant project funded by the John Templeton Foundation. Philosophers and scientists are invited to compete for sub-grants and prizes to support research along two dimensions: the philosophy of self-control and the integrated science and philosophy of self-control. The first phase in the process of selecting the winners of these awards is to review letters of intent from applicants. Letters of intent for projects focusing on integrated science and the philosophy of self-control are due by August 1st, 2014, and letters of intent for the philosophy of self-control research projects are due by September 1st, 2014. For more information about The Philosophy and Science of Self-Control project and for instructions to submit letters of intent, please visitwww.philosophyandscienceofself-control.com.

July 2, 2014

Last CFP:: ICIEIS2014- Poland

by The Third International Conference on Informatics Engineering and Information Science (ICIEIS2014)

The Third International Conference on Informatics Engineering and Information Science (ICIEIS2014) Lodz University of Technology, Lodz, Poland September 22-24, 2014. http://goo.gl/PY6O4x ======================================================================== The proposed conference on the above theme will be held at Lodz University of Technology, Lodz, Poland From September 22-24, 2014 which aims to enable researchers build connections between different digital applications. The conference welcomes papers on the following (but not limited to) research topics: - Information Ethics - Information Content Security - Data Compression - E-Technology - E-Government - E-Learning - Cloud Computing - Grid Computing - Green Computing - Access Controls Researchers are encouraged to submit their work electronically. All papers will be fully refereed by a minimum of two specialized referees. Before final acceptance, all referees comments must be considered. Important Dates ============== Submission Date : Open from now until August 20, 2014 Notification of acceptance: 2-3 weeks from the submission date Camera Ready submission : Sept. 12, 2014 Registration : Sept. 12, 2014 Conference dates : Sept. 22-24, 2014

July 2, 2014

Open position: Graduate researcher (f/m)

by Dr. Markus Butz-Ostendorf

Open position: Graduate researcher (f/m) Advertising institute: JSC - Jülich Supercomputing Centre Reference number: 2014-120 URL: http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2014-120-EN… http://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/_node.html JARA, the Jülich Aachen Research Alliance, is an innovative model of collaboration between RWTH Aachen University and Forschungszentrum Jülich. The alliance brings together an internationally renowned technical university with a leading European research centre (www.jara.org<http://www.jara.org>). The scientists of the section JARA-HPC combine know-how in High Performance Computing (HPC) with domain-specific research competence. Through the Jülich Supercomputing Centre (JSC) they have access to supercomputers of the worldwide highest performance class. On the basis of own scientific research, several "Simulation Labs" at the JSC provide community-oriented support in the area of complex simulations on supercomputers and the relevant methods. We are looking to recruit a Graduate researcher (f/m) Your Job: The successful candidate will be member of the Simulation Lab Neuroscience, which is funded by JARA-HPC and by the Helmholtz Association in the framework of the Helmholtz Portfolio Theme "Supercomputing and Modeling for the Human Brain". As the "Bernstein Facility for Simulation and Database Technology" the new lab contributes its expertise in simulation and database technology to the National Bernstein Network Computational Neuroscience (www.nncn.de<http://www.nncn.de>). Your work will be dedicated to the solution of fundamental questions in neuroscience through the use of the most advanced high performance computers, and will include one or more of the following activities: * Developing models of neural plasticity in the healthy and diseased brain * Developing self-organizing, large-scale neuronal network models of the human brain * Application of these models in high performance computing simulations of lesions in the visual and motor system * Models of multiple sclerosis and Alzheimer's disease * Interdisciplinary work at the interface of Computer Science, Biology and Medicine. Your Profile: * Diploma or Master degree in Computational Neuroscience, Theoretical Biology, Physics or Informatics with a specialization in Biology * Ideally, profound background in modelling neuronal networks as well as good programming skills in Python, Matlab or C++ * Experience in modelling with NEST would be a plus * Ability to work independently in a team of researchers with heterogeneous backgrounds * Strong communication skills in English are a necessity Our Offer: * A diverse range of activities in an interdisciplinary, international research group and a friendly work Environment * Excellent research and computing infrastructure of an internationally recognised technical university and one of the largest research centres in Europe * Possibility of working towards a doctorate * Employment initially limited to 2 years but with possible longer-term perspective * Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Forschungszentrum Jülich aims to employ more women in this area and therefore particulary welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application, preferably online<https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf…> via our online recruitment system (https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf…) quoting the above-mentioned reference number. Contact P-E Henning Eggert Tel.:02461 61-9700 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

July 2, 2014

BCF/NWG course "Analysis and Models in Neurophysiology" - Deadline Extension to July 14

by Birgit Ahrens

The application deadline for the BCF/NWG course is extended to *Monday, July 14, 2014*. Please find more information on the course and the application process below. --------------------------------------------------------------------------------------------------------------------------------------------------------------- BCF/NWG-Course "Analysis and Models in Neurophysiology" /Sunday, October 5 - Friday, October 10, 2014 / /Bernstein Center Freiburg, Hansastraße 9a, 79104 Freiburg, Germany/ *Aim of the course:* The course is intended to provide advanced Diploma/Masters and PhD students, as well as young researchers from the neurosciences with approaches for the analysis of electrophysiological data and the theoretical concepts behind them. *The course includes various topics such as*: * Neuron Models and Point Processes (Prof. Stefan Rotter) * Local field potentials (Prof. Ulrich Egert) * Neural Coding (Dr. Robert Schmidt) * Neural Decoding (Prof. Carsten Mehring) The course will consist of lectures in the morning and and matching exercises using Matlab, Mathematica and Python in the afternoon. Experience with these software packages will be helpful but is not required for registration. The participants should have a basic understanding of scientific programming. This course is designated especially for advanced diploma/master-students and PhD-students (preferentially in their first year). *Application:* Please apply by sending one pdf document containing your CV and a meaningful letter of motivation to nwg-course(a)bcf.uni-freiburg.de. The letter of motivation should refer to the following points: * Reasons for wanting to take this course * Background in mathematics * Experience in using Matlab/Python/Mathematica * Background in neuroscience The course is limited to 20 participants. *Course fees:* NWG members - 50EUR, others - 125EUR *Application deadline: *July 14, 2014 *More information: *http://www.bcf.uni-freiburg.de/events/conferences-workshops/20141005-nwgcourse *-- Dr. Birgit Ahrens --* Teaching & Training Coordinator Bernstein Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559

July 2, 2014

Final Deadline July 15: IEEE CICARE 2014, Orlando, Florida, USA

by Mufti Mahmud

Dear All, Apologies for cross-posting of this cfp. This extended final deadline is July 15, 2014 (Midnight GMT). Please contribute to the symposium by submitting your research results and by sharing the cfp to the interested people. We appreciate your contribution in making CICARE 2014 a successful event. Many thanks and regards, Mufti 2014 IEEE Symposium on Computational Intelligence in healthcare and e-health (IEEE CICARE 2014) IEEE CICARE 2014 is the first Symposium of its kind, and will bring together leading research and clinical scientists, engineers, practitioners, technology and solution providers in healthcare and e-health from around the world to discuss latest advances in the field of computational intelligence applied to solving the growing scale and complexity of problems in these inter-disciplinary domains. This symposium will provide a forum for the presentation of recent results in the theory and practice of computational intelligence in healthcare and e-health systems and services, and there will also be Panel discussions to outline future research directions and challenges. IEEE CICARE 2014 is being held as part of the IEEE Symposium Series on Computational Intelligence (SSCI’2014), Florida, 09-12 December 2014. IEEE SSCI 2014 is one of the two flagship biennial international events sponsored by the IEEE Computational Intelligence Society (IEEE CIS) promoting all aspects of the theory and applications of computational intelligence. The IEEE SSCI co-locates several technical meetings at one location. This event attracts top researchers, professionals, and students from around the world. More details on: http://www.ieee-ssci.org/index.html Call for Papers can be found here: http://www.ieee-ssci.org/data/IEEESSCI_2014_CFP.pdf IEEE is the world’s largest professional association dedicated to advancing technological innovation and excellence for the benefit of humanity. IEEE and its members inspire a global community through IEEE's highly cited publications, conferences, technology standards, and professional and educational activities. Call for Papers: IEEE CICARE 2014 Special Sessions in 2014 IEEE Symposium on Computational Intelligence in healthcare and e-health Special Session 1: Computationally Intelligent Methods for CNS Research & Its Disorders (Organizers: Mufti Mahmud, Pawel Raif, Amir Hussain) Special Session 2: Computational Intelligence in Health Assessment and Monitoring (Organizers: Erik Cambria, Amir Hussain, Newton Howard) Special Session 3: Prospects and Applications of Computational Intelligence in e-Health (Organizers: Pawel Raif, Mufti Mahmud, Henrique Martins) Special session 4: Big Data Analytic Technology for Bioinformatics and Health Informatics (Organizers: Xin Deng, Donghui Wu) IEEE CICARE2014 Topics: IEEE CICARE 2014 related topics include but are not limited to: · Ontology Driven Knowledge Management · Decision Support Systems · Telemedicine · Medical research using Grids · Interoperability · Medical and Nursing Informatics · Confidentiality and Data Security · Wearable Health Informatics · Semantic Interoperability · Therapeutic Systems and Technologies · Cognitive Informatics · Affective Computing · Human-Machine Interfaces · ICT, Ageing and Disability · Design and development methodologies for Healthcare IT · Mobile technologies for Healthcare applications (m-Health) · Evaluation and use of Healthcare IT · Health Knowledge Management · Healthcare Management and Information Systems · Electronic Health Records and Standards · Software Systems in Medicine · Pervasive Health Systems and Services · Clinical problems and applications · Data Mining and Visualization · Consumer Health Informatics · Virtual Healthcare Teams · Pattern recognition and Machine Learning · Practice-based Research Methods for Healthcare Informatics/IT · e-Health for Public Health · Integrating genetics with e-health Symposium Chairs: Chair: Professor Amir Hussain, School of Natural Sciences, University of Stirling, Scotland, E-mail: ahu(a)cs.stir.ac.uk Co-Chair: Professor Calum MacRae, Harvard Medical School, Boston Co-Chair: Professor Jonathan Wu, University of Windsor, Canada Honorary Chair: Professor Warner Slack, Clinical Informatics Division, Harvard Medical School, Boston, USA Symposium Organiser: Kamran Farooq, University of Stirling, Scotland, UK International Programme Committee: · Adnan Masood Siddiqui, University of Edinburgh, Edinburgh Cancer Centre. · Aman Shams, Edinburgh Royal Infirmary, UK · Amir Atiya, Cairo University, Egypt · Amir Shah, University Hospital Crosshouse, Kilmarnock, Scotland · Aneel Zaheer, Kings College London Hospital, UK · Anna Esposito, Second University of Naples and IIASS - Vietri sul Mare (SA), Italy · Aziz Sheikh, Centre of Population Health Sciences, University of Edinburgh · Azzam Taktak, The Royal Liverpool University Hospital, UK · Campbell Grant, Sitekit Solutions Ltd. · Chris Eckl, Sitekit Solutions Ltd. · Eric Chang, Microsoft Asia, Beijing · Erik Cambria, NUS, Singapore · Fabio Augusto Gonzalez Osorio, National University of Colombia · Frances Mair, University of Glasgow · Hicham Attasi, Brno University of Technology, Czech Repulibic · Hollis Kowaloff, Beth Israel Clinical Informatics, USA · Igor Aleksander, Imperial College, London, UK · Irfan Faridoon, Western General Hospital, Edinburgh · Jozsef Farkas, University of Stirling, Scotland, UK · Junichi Tsujii, Microsoft Asia, Beijing · Kaizhu Huang, Institute of Automation, Chinese Academy of Sciences, Beijing, China · Kang Li, Queen’s University, Belfast · Keshav Dahal, University of Bradford, UK · M.A. Rajak, Ucare Foundation, Glasgow · Marcos Faundez-Zanuy, Escola University-Politecnic Mataro, Spain · Maria Aftab, Sir Syed Medical College, Karachi, Pakistan · Marjorie Skubic, University of Missouri, Columbia, USA · Matthew Bailey, BHF Centre for Cardiovascular Science, University of Edinburgh · Mohamed Chetouani, University of Pierre Marie-Curie, France · Muaz Niazi, Bahria University, Pakistan · Mufti Mahmud, University of Antwerp, Belgium · Ricardo Imbert, University of Madrid, Spain · Sophia Ananiadou University of Manchester, UK · Stefano Squartini, Ancona University, Italy · Stephen Leslie, Raigmore Hospital, Inverness, Scotland · Tingwen Huang, Texas A&M University at Qatar · Usman Bashir, Western General Hospital, Edinburgh · Vassilis Cutsuridis, King's College, London, UK · Vladimir Bajic, KAUST, Saudi Arabia · Wajeeha Aneel, University of Bedfordshire, UK · William Buchanan, Napier University · Zdenek Smekal, Brno University of Technology, Czech Republic · Zubair Khan, Radiology & Nuclear Medicine, University Hospitals NHS Lothian (Edinburgh) Important Dates Paper submission: 15 July 2014, Midnight GMT Decision: 05 Sept 2014 Final submission: 05 Oct 2014 Early Registration: 05 Oct 2014 Paper Submission: Please submit your paper via the IEEE SSCI 2014 on-line submission link accessed from: http://www.ieee-ssci.org/submission.html

July 2, 2014

IEEE SSCI 2014 Doctoral Consortium (deadline July 15, 2014) - Call for Applications

by Stephen G Matthews

IEEE SSCI 2014 Doctoral Consortium - Call for Applications The IEEE Symposium Series on Computational Intelligence (SSCI) 2014 will be running a Doctoral Consortium alongside the symposium. The objective of this Doctoral Consortium is to provide an opportunity for Ph.D. students to discuss their dissertation research topics, research plans, and research methodologies in a supportive environment with peers in the community. The feedback, advice, and guidance will be invaluable to Ph.D. students in supporting their current and future research in computational intelligence and their future careers. There are dedicated financial support for selected Ph.D. students to attend this Doctoral Consortium as well as student travel grants for SSCI. Applications In order to submit to the Doctoral Consortium, students are required to submit the following items through the same portal as papers for SSCI. 1. Cover sheet that includes: - Full name - Affiliation and email address - Expected graduation date - Thesis advisor’s full name, title, affiliation and email address - Title of research - List of up to 5 keywords to help select reviewers for the application 2. A 2-page summary of Ph.D. research that includes: - Title of research - Name, affiliation, and email address - Research question and significance - Important literature - Proposed research methodology - Preliminary results - Future research plan - Reference list (maximum one page, not included in 2-page limit) 3. CV 4. Letter of support from Ph.D. supervisor or other faculty member 5. Confirmation letter of Ph.D. student status Key dates are the same as for the SSCI Submission July 15, 2014 Notification September 5, 2014 Final Submission October 5, 2014 Full details of the Doctoral Consortium are available from http://ieee-ssci .org/consortium.html Co-Chairs Stephen G. Matthews, University of Bristol, UK Xiaorong Zhang, San Francisco State University, USA Demetrios G. Eliades, University of Cyprus, Cyprus

July 1, 2014

Neuroimaging and Modelling Research Associate Posts at the University of Ulster

by Wong-Lin, Kongfatt

The School of Computing and Intelligent Systems at the University of Ulster has two available 2-year fixed term research associate posts. One of the posts will involve research in the general area of neuroimaging using magnetoencephalography (MEG), particularly in mild cognitive impairment. The other post will involve research in the general area of computational modelling of neuromodulatory effects on MEG signals. Interested applicants are welcomed to apply at: http://www.jobs.ac.uk/job/AIZ051/research-associate-in-computational-modell… http://www.jobs.ac.uk/job/AIZ056/research-associate-in-neuroimaging-using-m… Note that the closing date is on 18 July 2014. Successful applicants will be based primarily at the Functional Brain Mapping facility at the Intelligent Systems Research Centre (ISRC) with opportunities to interact with other related research teams at the ISRC (e.g. Brain-Computer Interface and Assistive Technologies, Computational Neuroscience, Bio-Inspired and Neuro-Engineering, and Cognitive Robotics), and research groups such as in the (5* research rating) Biomedical Sciences Research Institute, the recently developed Centre for Stratified Medicine, and the Bamford Centre for Mental Health and Wellbeing. ------ Dr. KongFatt Wong-Lin Computational Neuroscience Research Team Intelligent Systems Research Centre School of Computing and Intelligent Systems University of Ulster ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of the University of Ulster. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. The University of Ulster does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for the University of Ulster in Northern Ireland is,Cromore Road, Coleraine, Co. Londonderry BT52 1SA

July 1, 2014

Neural plasticity for rich and uncertain robotic information streams. Call for participation to our upcoming Frontiers research topic.

by Andrea Soltoggio

Dear all, I would like to inform you that the research topic “Neural plasticity for rich and uncertain information streams”, hosted by Frontiers in Neurorobotics, has now opened for submission. Description: Models of adaptation and neural plasticity are often demonstrated in robotic scenarios with heavily pre-processed and regulated information streams to provide learning algorithms with appropriate, well timed, and meaningful data to match the assumptions of learning rules. On the contrary, natural scenarios are often rich of raw, asynchronous, overlapping and uncertain inputs and outputs whose relationships and meaning are progressively acquired, disambiguated, and used for further learning. Therefore, recent research efforts focus on neural embodied systems that rely less on well timed and pre-processed inputs, but rather extract autonomously relationships and features in time and space. In particular, realistic and more complete models of plasticity must account for delayed rewards, noisy and ambiguous data, emerging and novel input features during online learning. Such approaches model the progressive acquisition of knowledge into neural systems through experience in environments that may be affected by ambiguities, uncertain signals, delays, or novel features. This research topic promises to unveil fundamental properties and dynamics of neural learning system that are naturally immersed in a rich information flow. We invite papers describing advances in robotic neural learning systems that model adaptation or plasticity with a rich and realistic stream of information. Abstract Submission Deadline: Aug 11, 2014, Article Submission Deadline: Jan 12, 2015 Topic Editor(s): Andrea Soltoggio, Fran van der Velde Frontiers, a Swiss open-access publisher, recently partnered with Nature Publishing Group to expand its researcher-driven Open Science platform. Frontiers articles are rigorously peer-reviewed, can be disseminated freely and are widely read by your colleagues and by the broader scientific and medical research communities. The idea behind a research topic is to create an organized, comprehensive collection of several contributions, as well as a forum for discussion and debate. Contributions can be articles describing original research, methods, hypothesis & theory, opinions, etc. We have created a homepage on the Frontiers website (Frontiers in Neurorobotics) where all articles will appear after peer-review and where participants in the topic will be able to hold relevant discussions: http://www.frontiersin.org/Neurorobotics/researchtopics/Neural_plasticity_f… . Frontiers will also compile an e-book, as soon as all contributing articles are published, that can be used in classes, be sent to foundations that fund your research, to journalists and press agencies, or to any number of other organizations. As such, a manuscript accepted for publication incurs a publishing fee, which varies depending on the article type. Research Topic manuscripts receive a significant discount on publishing fees. Please take a look at this fee table: http://www.frontiersin.org/about/PublishingFees. Once published, your articles will remain free to access for all readers, and will be indexed in PubMed and other academic archives. As an author in Frontiers, you retain the copyright to your own papers and figures. Should you choose to participate, please confirm by sending me a quick email and then your abstract no later than Aug 11, 2014 using the following link: http://www.frontiersin.org/Neurorobotics/researchtopics/Neural_plasticity_f… With best regards, Andrea Soltoggio Guest Associate Editor, Frontiers in Neurorobotics www.frontiersin.org Lecturer in Computer Science and Artificial Intelligence Haslegrave Building, N.2.03 Loughborough University LE11 3TU UK

July 1, 2014

A multiscale perspective of the BRAIN Initiative

by Chi-Sang Poon

An upcoming paper titled "Multiscale fingerprinting of neuronal functional connectivity" in the journal Brain Structure and Function (in press) is available in MIT's open access collection: https://dspace.mit.edu/handle/1721.1/88126 SUMMARY. Current cellular-based connectomics approaches aim to delineate the functional or structural organizations of mammalian brain circuits through neuronal activity mapping and/or axonal tracing. To discern possible connectivity between functionally identified neurons in widely distributed brain circuits, reliable and efficient network-based approaches of cross-registering or cross-correlating such functional-structural data are essential. Here, a novel cross-correlation approach that exploits multiple timing-specific, response-specific and cell-specific neuronal characteristics as coincident fingerprint markers at the systems, network and cellular levels is proposed. Application of this multiscale temporal-cellular coincident fingerprinting assay to the respiratory central pattern generator network in rats revealed a descending excitatory pathway with characteristic activity pattern and projecting from a distinct neuronal population in pons to its counterparts in medulla that control the post-inspiratory phase of the respiratory rhythm important for normal breathing, airway protection and respiratory-vocalization coordination. This enabling neurotracing approach may prove valuable for functional connectivity mapping of other brain circuits.

July 1, 2014

Reminder Announcement Special Session Neurotechnix 2014

by Martin Bogdan

Dear colleagues, it's my pleasure to announce in behalf of my co-chairs a special session at Neurotechnix 2014, 25- 26 October, 2014 - Rome, Italy (http://www.neurotechnix.org/BrainRehab.aspx) Brain-computer Interfaces and Brain Stimulation for Neurorehabilitation Important Dates Paper Submission: July 17, 2014 Authors Notification: July 31, 2014 Camera Ready and Registration: August 8, 2014 Scope Brain-computer interfaces (BCIs) and brain stimulation are unique methods for neurorehabilitation because they allow a direct interaction with the patient's brain. BCIs enable biofeedback approaches for paralyzed patients, while brain stimulation techniques modulate the activity of neuronal circuits to support brain reorganization. However, towards their application as reliable treatment options, important challenges such as a deeper understanding of neural (re-)organization, the design of suitable feedback and stimulation paradigms, the adaptation to individual patients and the transfer from the laboratory to clinical settings need to be faced. We invite neuroscientists, engineers and clinicians to submit papers discussing recent developments and future trends in the fields of neurostimulation and BCIs with a focus on their application towards the rehabilitation of patients. Topics: - Brain-computer interfaces - Decoding of brain activity - Neurofeedback - Brain stimulation - Closed-loop stimulation systems - Chronic pain - Stroke, amyotrophic lateral sclerosis and other neurodegenerative diseases Paper Submission Prospective authors are invited to submit papers in any of the topics listed above. Instructions for preparing the manuscript (in Word and Latex formats) are available at: http://www.neurotechnix.org/GuidelinesTemplates.aspx#paper_templates Please also check the Guidelines and Templates. Papers should be submitted electronically via the web-based submission system at: http://www.insticc.org/Primoris Publication Both complete papers and extended abstracts can be submitted. All accepted extended abstracts will be published on CD-ROM without an ISBN, accepted papers will be published on CD-ROM support and in a special section of the congress proceedings book, under an ISBN reference. The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP and EI (Elsevier Index). All papers and extended abstracts presented at the congress venue will also be made available at the SCITEPRESS DIGITAL LIBRARY. SCITEPRESS is member of CrossRef. -- ************************************************************************** Prof. Dr. Martin Bogdan Institut für Informatik Technische Informatik Universität Leipzig Augustusplatz 10 D-04109 Leipzig Germany Postadresse: PF 100920 D-04009 Leipzig Tel: (++49) 341 97 32208 Fax: (++49) 341 97 32252 E-mail: bogdan(a)informatik.uni-leipzig.de www.informatik.uni-leipzig.de/ti/ ************************************************************************** 'Nihil est ab omni parte beatum' (Horaz) **************************************************************************

July 1, 2014

PhD position, University of Genoa, Italy - 3D shape visual descriptors

by Silvio P. Sabatini

Applications are invited for one full-time PhD studentship (with scholarship) for a period of 3 years, starting Nov 2014, at “The Physical Structure of Perception and Computation” lab of the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Italy. The proposed PhD research project will be focused on “Learning compositional visual representation of 3D shapes in vergent geometry”. The goal is to derive a deep architecture for abstracting the statistically relevant information present in the disparity patterns obtained by binocular fixations. Starting from a neuromorphic early representation of 2D binocular disparity, the resulting 3D visual descriptors should be characterized by generalized perceptual constancy. The project will provide the opportunity to work on neural modeling, visual psychophysics, computer vision, or a combination of them. Experimental, modeling, and theoretical approaches might be pursued with a different accent according to personal attitude. Ongoing cooperation, at international level, with research groups of different disciplines, will ensure a highly interdisciplinary and stimulating environment. Successful applicants will have at their disposal state-of-the-art sw and hw, 3D VR-AR experimental set-ups, a high precision 3D laser scanner, a large-scale CPU/GPU-based neuromorphic architecture for joint stereo and motion cortical representation, and an iCub 6dof binocular robot head. Successful applicants would have a good honors degree in bioengineering, computer science, physics or related disciplines, strong interest in computational neuroscience, and an open mind for interdisciplinary research. On-line application will be soon opening (deadline: August 30th, 2014 at 12:00 noon (Italian time/CET)) Prospective students, please contact: Silvio Sabatini (silvio.sabatini(a)unige.it) DIBRIS is a unique inter-school department of the University of Genoa, bridging together researchers from the former Science and Engineering Faculties. It offers an excellent multidisciplinary, interactive and collaborative research environment combining expertise in computer vision, computational neuroscience, neuromorphic computing, robotics and mechatronics. PSPC-Lab (www.pspc.unige.it) has a long-standing expertise in visual coding and multidimensional signal representation, robot perception and computer vision. In the last five years, the lab’s research activity focused on the analysis of the structural mechanisms of visuo-spatial cognition, responsible for orienting and interacting in the 3D space. -- --------------------------------------------------------------------- Silvio P. SABATINI, PhD [PSPC Research Group] Professor of Bioengineering DIBRIS - University of Genova | e_mail:silvio.sabatini@unige.it Via Opera Pia, 11A | phone: +39 010 3532092/3532794 I-16145 Genova (ITALY) | fax: +39 010 3532289/3536533 URL:http://pspc.unige.it --------------------------------------------------------------------- "Imagination is more important than knowledge..." [Albert Einstein]

July 1, 2014

PhD position, University of Genoa, Italy – Multidimensional peripersonal space sensing

by Silvio P. Sabatini

Applications are invited for one full-time PhD studentship (with scholarship) for a period of 3 years, starting Nov 2014, at “The Physical Structure of Perception and Computation” (PSPC) lab of the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Italy. The proposed PhD research project will be focused on “Representing peripersonal space through sensorimotor likelihoods”. On the ground of the research framework developed in the PSPC lab at DIBRIS (see www.eyeshots.it, [1]), the activity will focus on the design of theoretical models by converting computational approaches from engineering into cortical-like models of implicit representations of the peripersonal space. Such implicit representations, besides advancing experimental predictions about neuronal activity, are expected to drive learning of meaningful interactions with the environment thus achieving fluid multi-dimensional motor control in the presence of multiple sensory channels, and with minimal a priori knowledge. [1] Antonelli M., Gibaldi A., Beuth F., Duran A.J., Canessa A., Chessa M., Solari F., del Pobil A.P., Hamker F., Chinellato E. and Sabatini S.P. (in press) A hierarchical system for a distributed representation of the peripersonal space of a humanoid robot. IEEE Trans. on Autonomous Mental Development. The project will provide the opportunity to work on neural modeling, visual psychophysics, robotics, or a combination of them. Experimental, modeling, and theoretical approaches might be pursued with a different accent according to personal attitude. Ongoing cooperation, at international level, with research groups of different disciplines, will ensure a highly interdisciplinary and stimulating environment. Full details on the call and the application procedure are available at: http://phd.dibris.unige.it/biorob/index.php/how-to-apply Successful applicants would have a good honors degree in bioengineering, computer science, physics or related disciplines, strong interest in computational neuroscience, and an open mind for interdisciplinary research. On-line application will be soon opening (deadline: August 30th, 2014 at 12:00 noon (Italian time/CET)) Prospective students, please contact: Silvio Sabatini (silvio.sabatini(a)unige.it) DIBRIS is a unique inter-school department of the University of Genoa, bridging together researchers from the former Science and Engineering Faculties. It offers an excellent multidisciplinary, interactive and collaborative research environment combining expertise in computer vision, computational neuroscience, neuromorphic computing, robotics and mechatronics. PSPC-Lab (www.pspc.unige.it) has a long-standing expertise in visual coding and multidimensional signal representation, robot perception and computer vision. In the last five years, the lab’s research activity focused on the analysis of the structural mechanisms of visuo-spatial cognition, responsible for orienting and interacting in the 3D space. -- --------------------------------------------------------------------- Silvio P. SABATINI, PhD [PSPC Research Group] Professor of Bioengineering DIBRIS - University of Genova | e_mail:silvio.sabatini@unige.it Via Opera Pia, 11A | phone: +39 010 3532092/3532794 I-16145 Genova (ITALY) | fax: +39 010 3532289/3536533 URL:http://pspc.unige.it --------------------------------------------------------------------- "Imagination is more important than knowledge..." [Albert Einstein]

July 1, 2014

Postdoc position in computational neuroscience (University of Leicester, UK)

by Quian Quiroga, Rodrigo (Prof.)

apologies for multiple postings... Postdoc in computational neuroscience (University of Leicester, UK) Description: Spike sorting is the classification of single neurons from extra-cellular recordings based on their spike shapes. The main focus of your research will be the study and implementation of optimal spike detection and sorting techniques. For this you will study different techniques to improve the spike detection and sorting results and will then implement these advances in a graphic user interface and in batch codes to run in Matlab. Group: Centre for Systems Neuroscience (http://www.le.ac.uk/csn) Visit the University of Leicester job site for more details, input the job reference (SEN00493) and click search. http://www2.le.ac.uk/offices/jobs/opportunities/jobsearch Informal enquiries are welcome and should be made to Sue Atkinson, Research Centre Manager, sam45(a)le.ac.uk<mailto:sam45@le.ac.uk> or 0116 252 3249. Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

June 30, 2014

Postdoctoral position at MIT/Janelia Farm

by Sam Gershman

The labs of Alla Karpova (HHMI/Janelia Farm), Josh Tenenbaum (MIT) and Sam Gershman (MIT/Harvard) are seeking a postdoctoral fellow to work on a collaborative project studying neural implementation of internal models of the environment in rat medial prefrontal cortex. The goal is to understand the role of prefrontal cortex in inferring the general structure of tasks in hierarchically structured, dynamically changing environments, and the process by which this inference is used to optimize behavior. The fellow will be closely involved in the design of experiments and data analysis, including the development of new behavioral and neural analysis techniques. This position will give the successful candidate an opportunity to develop broad expertise in computational neuroscience, ranging from models of probabilistic inference at behavioral level to decoding behaviorally-relevant parameters from circuit dynamics. The fellow will be based at MIT, but will also spend time at Janelia Farm. Funding is available for 3 years, beginning immediately. We are looking for candidates with a strong mathematical and computational background, ideally with experience in both theoretical neuroscience and probabilistic modeling. Candidates with experimental training in neurophysiology who are interested in developing their computational skills are also encouraged to apply. For more information, please contact Sam Gershman (sjgershm(a)mit.edu) along with a CV and brief cover letter.

June 29, 2014

POSTDOCTORAL RESEARCHER IN SYSTEMS NEUROSCIENCE

by Santamaria, Cookie

POSTDOCTORAL RESEARCHER IN SYSTEMS NEUROSCIENCE The BioCircuits Institute (BCI) and Departments of Physics, Chemistry/Biochemistry, Bioengineering, and Psychology and Neurobiology at the University of California, San Diego invite applications for a postdoctoral position in systems neuroscience, for experiments leading to the neuromorphic engineering of cognitive abilities. The ideal candidate will have experience with in vivo electrophysiology, in awake behaving animals, and desire to apply biologically inspired algorithms to VLSI circuits and systems. Close interaction with other project researchers in computational and theoretical neuroscience, nonlinear dynamical systems, and neuromorphic engineering is involved. We will accept applications immediately and will begin making selections on 1 September 2014, until the position is filled. Appointments are for two years (in one-year increments) with the possibility of a third. Send your statement of qualifications and interest with curriculum vitae, your two most significant publications and three letters of reference to Tim Gentner, Henry Abarbanel, Gert Cauwenberghs, Katja Lindenberg, Mikhail Rabinovich, and Terrence Sejnowski via email to: postdoc.muri[at]gmail.com. A Ph.D. or equivalent doctoral degree is required prior to the appointment. UCSD is an EO/AA employer.

June 27, 2014

New Postdoctoral position in computational neuroscience at IIT - Laboratory of Neural Computation, Rovereto, Italy

by Stefano Panzeri

Dear all I have the opportunity to open a new postdoctoral position in my laboratory (The “Neural Computation” laboratory) at the Centre for Neuroscience and Cognitive Systems in Trento (Italy). The postdoc will work to develop a set of novel information theoretic algorithms for the analysis of simultaneous recordings from large populations of retinal ganglion cells under dynamic natural visual stimulation. The project will be carried out in collaboration with the laboratory of Prof Tim Gollisch (University of Gottingen). Interested applicants should contact Stefano Panzeri ( stefano.panzeri @iit.it ) by email, emailing their CV with the inquiry. The position can be opened very rapidly. Therefore interested candidates are warmly suggested to inquire as soon as possible. For recent reviews about the work carried out by the laboratory of Neural Computation, prospective applicants are invited to consult the following articles: G.T. Einevoll, C. Kayser, N.K. Logothetis and S. Panzeri (2013) Modelling and analysis of local field potential for studying the function of cortical circuits. Nature Reviews Neuroscience, 14:770-785; Panzeri S, Brunel N, Logothetis NK, Kayser C (2010) Neural codes at multiple temporal scales in sensory cortex.Trends in Neuroscience 33: 111-120 Quian Quiroga R, Panzeri S (2009) Extracting information from neuronal populations: information theory and decoding approaches. Nature Reviews Neuroscience 10: 173-185. Regards Stefano Panzeri

June 27, 2014

Bernstein Conference 2014 - Early registration ends July 7

by Kerstin Mosch

*BERNSTEIN CONFERENCE 2014 in Göttingen* Reminder: Early registration deadline: *July 7, 2014* Please register here <http://www.nncn.de/en/bernstein-conference/2014/registration>. We encourage timely booking of accommodation. A list of hotels can be found here <http://www.nncn.de/en/bernstein-conference/2014/venue/accommodation>. **************************************************************************** Satellite Workshops <http://www.nncn.de/en/bernstein-conference/2014/workshops> September 02-03, 2014 Main Conference <http://www.nncn.de/en/bernstein-conference/2014/program-1> September 03-05, 2014 **************************************************************************** The Bernstein Conference has become the largest annual Computational Neuroscience Conference in Europe and now regularly attracts more than 500 international participants. This year, the Conference is organized by the Bernstein Focus Neurotechnology Goettingen and will take place September 03-05, 2014. In addition, there will be a series of pre-conference satellite workshops on September 02-03, 2014. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology, and sessions for poster presentations are an integral part of the conference. The Bernstein conference will also feature a series of satellite workshops on September 02-03, 2014. The goal is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: http://www.bernstein-conference.de CONFERENCE DATE AND VENUE: Satellite Workshops September 02-03, 2014 Main Conference September 03-05, 2014 Venue: Central Lecture Hall (ZHG), Platz der Goettinger Sieben 5, 37073 Göttingen, Germany PUBLIC PHD STUDENT EVENT: September 02, 2014 PROGRAM COMMITTEE: Ilka Diester, Daniel Durstewitz, Thomas Euler, Alexander Gail, Matthias Kaschube, Jason Kerr, Roland Schaette, Fred Wolf, Florentin Wörgötter, ORGANIZING COMMITTEE: Florentin Wörgötter, Kerstin Mosch, Yvonne Reimann Bernstein Coordination Site (BCOS): Andrea Huber Broesamle, Mareike Kardinal, Kerstin Schwarzwaelder We look forward to seeing you in Goettingen in September! -- Dr. Kerstin Mosch Bernstein Center for Computational Neuroscience (BCCN) Goettingen Bernstein Focus Neurotechnology (BFNT) Goettingen Max Planck Institute for Dynamics and Self-Organization Am Fassberg 17 D-37077 Goettingen Germany T: +49 (0) 551 5176 - 425 E:kerstin@nld.ds.mpg.de I:www.bccn-goettingen.de I:www.bfnt-goettingen.de

June 27, 2014

Postdoc Position in Marseille. Neural ensemble computation in the basal ganglia and motor learning

by David Robbe

A 3yearspostdoctoral position is available starting 1st of September 2014in the group of David Robbeat the Institut de Neurobiologie de la Mediterrannée(INMED) in Marseille, France. The Robbe Lab studies how cell assemblies in the basal ganglia and related cortical structures contribute to motor learning and motor control. For this, we perform large-scale electrophysiological recordings (with silicon probes and large tetrode arrays) combined with optogenetics while rodents are engaged in original motor tasks. Our high-dimensional behavioral and neural data required advanced statistical methods to test hypotheses on the computation performed by the basal ganglia during motor learning and on the respective role of the motor cortex and basal ganglia.The position would suit ahighly motivated candidatewith strong quantitative background.Agood knowledge in motor controlwould be a plus but is not required.While the work will be mainly quantitative, applicants desiring to acquire experimental skills are encouraged to apply. INMED is composed of several internationally renowned groups working on the development, function and pathology of neuronal circuits. The scientific excellence of INMED and its outstanding location at the entrance of the National Park des Calanques provide a rich and stimulating working/living environment The position is part of a 5 years ERC-funded project that will start 1st of September 2014. Applications (short cover, CV, email address of 2 referees) should be sent to david.robbe(a)inserm.fr and will be considered until the position is filled. -- ------------------------------------------------------ David Robbe Neuronal dynamics and functions of the basal ganglia INMED INSERM UMR901 163, avenue de Luminy. BP13 13273 Marseille Cedex 9 France http://www.inmed.univ-mrs.fr/ Tel: +33 4 91 82 81 99 Fax: +33 4 91 82 81 05 -----------------------------------------------------

June 26, 2014

Postdoctoral Positions in BCI for enabling shared human-machine autonomy

by Paul Sajda

The Laboratory for Intelligent Imaging and Neural Computing (LIINC) at Columbia University has immediate openings for two Postdoctoral Research Scientists interested in investigating the use of brain computer interfaces (BCI) for enabling shared human-machine autonomy. This research effort is a joint project with the Army Research Lab (ARL) and will focus specifically on measuring cognitive state of individuals engaged in an image search task in cooperation with a semi-autonomous computer vision system. Successful applicants will have a background in machine learning, exemplar based computer vision systems and brain computer interfaces. An interest and/or background in building mobile systems, Android programming and experimenting with Google Glass is also a plus. A Ph.D. in Engineering, Computer Science or Neuroscience is preferred. One position will be full time at Columbia University and the other will be a shared position which will be half time at Columbia and half time at ARL/Aberdeen MD. The shared postdoctoral position requires US Citizenship. LIINC (liinc.bme.columbia.edu) is in the Department of Biomedical Engineering at Columbia University and interacts closely with other departments at Columbia, including Electrical Engineering, Biological Sciences, Computer Science and Neuroscience. We are also a member lab of the newly formed Center for Neural Engineering and Computation (CNEC) at Columbia University (cnec.columbia.edu) as well as the Institute for Data Sciences and Engineering (idse.columbia.edu) Additionally, we are a member of the Cognition and Neuroergonomics Collaborative Technology Alliance (CaN CTA) which a collaborative research effort between the Army Research Labs, Academia and Industry. Postdoctoral Research Scientists will thus have the opportunity to broadly collaborate will other scientists in academia, industry and government, being part of one of the largest collaborative programs in real-world neuroimaging and brain computer interfaces. Interested candidates should send via email their CV, three representative papers, the names of three references, and cover letter to Prof. Paul Sajda (psajda(a)columbia.edu) Applications will be considered until the positions are filled. The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. Paul Sajda, Ph.D. Professor Departments of Biomedical Engineering, Electrical Engineering and Radiology Columbia University 351 Engineering Terrace Building, Mail Code 8904 1210 Amsterdam Avenue New York, NY 10027 tel: (212) 854-5279 fax: (212) 854-8725 email: ps629(a)columbia.edu http://liinc.bme.columbia.edu Editor-in-Chief IEEE Transactions on Neural Systems and Rehabilitation Engineering email: editortnsre(a)gmail.com http://tnsre.bme.columbia.edu

June 26, 2014

[meetings] [ECCV2014] CfP: Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis (in conjunction with ECCV 2014)

by Karthik Mahesh Varadarajan

========================================================================== *Call for Papers- Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis* (in conjunction with ECCV 2014), September 7, 2014, Zurich, Switzerland http://affordances.info/workshops/ECCV.html ========================================================================== The workshop seeks to address key challenges in computer vision and applications such as robotics with regard to functional form descriptions, which are termed as "affordances". Based on the Gibsonian principle of defining objects by their function, "affordances" have been studied extensively by psychologists and visual perception researchers, resulting in the creation of numerous cognitive models. These models are being increasingly revisited and adapted by computer vision researchers to build visual perception and behavioral algorithms in recent years. This workshop attempts to explore this nascent, yet rapidly emerging field of affordance based cognitive vision (recognition of objects, activities, scenes etc.) while integrating the efforts and language of affordance communities not just in computer vision, but also psychophysics and neurobiology by creating an open affordance research forum, feature framework and ontology called AfNet (theaffordances.net) In particular, the workshop will focus on emerging trends in affordances and other human-centered function/action features that can be used to build computer vision algorithms leading to various intelligent applications. The workshop will also feature contributions from researchers involved in traditional theories to affordances, especially from the point of view of psychophysics and neuro-biology. Avenues to aiding research in these fields using techniques from computer vision and cognitive robotics will also be explored. Primary topics addressed by the workshop include the following among others - Affordances in visual perception models - Affordances as visual primitives, common coding features and symbolic cognitive systems - Affordances for object recognition, search, attention modulation, functional scene understanding and classification - Object functionality analysis - Affordances from appearance and touch based cues - Haptic adjectives - Functional-visual categories for transfer learning - Actions and functions in object perception - Human-object interactions and modeling - Motion-capture data analysis for object categorization - Affordances in human and robot grasping - Affordance learning - Affordance ontologies - Knowledge bases for affordances and affordance modeling Understanding various challenges in the field of affordances and building a common language and framework for communication across the varied affordance communities are the key goals of the proposed workshop. Through the course of the workshop, we also envisage the establishment of a working group for AfNet. *Paper Submissions* Paper contributions to the workshop are solicited in four different formats. This departure from the regular format is intended to promote greater contribution and cater to the needs of affordance communities from various disciplines such as Knowledge Representation, Psychology, Psychophysics, Neuroscience, Kinematics, Ontologies besides traditional audience such as from Cognitive/ Computer Vision and Robotics. - *Conceptual papers* (2 pages): Authors are invited to submit original ideas on approaches to address specific problems in the targeted areas of the workshop. While a clear presentation of the proposed approach and the expected results are essential, specifics of implementation and evaluations are outside the scope of this format. This format is intended at exchange and evaluation of ideas prior to implementation/ experimental work as well as to open up collaboration avenues. - *Design papers* (6 pages): Authors submitting design papers are required to address key issues regarding the problem considered with detailed algorithms and preliminary or proof-of-concept results. Detailed evaluations and analyses are outside the scope of this format. This format is intended at addressing late-breaking and work in progress results as well as fostering collaboration between research and engineering groups. - *Experimental papers* (6 pages): Experimental papers are required to present results of experiments and evaluation of previously published algorithms or design frameworks. Details of implementation and exhaustive test case analyses are key to this format. These papers are geared at benchmarking and standardizing previously known approaches. - *Full papers* (14 pages): Full papers must be self-inclusive contributions with a detailed treatment of the problem statement, related work, design methodology, algorithm, test-bed, evaluation, comparative analysis, results and future scope of work. Submission of original and unpublished work is highly encouraged. Since the goal of this workshop is to bring together the various affordance communities, extended versions/ summary reports of recent research published elsewhere, as adapted to the goals of the workshop, will also be accepted. These papers are required to clearly state the relevance to the workshop and the necessary adaptation. The program will be composed of oral as well as Pecha-Kucha style presentations. Each contribution will be reviewed by three reviewers through a single-blind review process. The paper formatting should follow the ECCV formatting guidelines (Templates: LaTeX <http://eccv2014.org/wp-content/uploads/2013/10/eccv2014kit.zip>). All contributions are to be submitted via Microsoft Conference Management Tool <https://cmt.research.microsoft.com/A22014/Default.aspx> in PDF. Please adhere to the following strict deadlines. In addition to direct acceptance, early submissions may be conditionally accepted, in which case submission of a revised version of the paper based on reviewer comments, prior to the late submission deadline is necessary. The final decision on acceptance of such conditionally accepted papers will be announced along with the decisions for the late submissions. Hence, while early submissions will have a better chance of acceptance than late submissions, submission to either (or both) rounds is equally encouraged. Also, note that the paper ID to be incorporated into the submission manuscript is available after performing an initial submission. If you still have issues finding your paper ID, it can be left blank for initial submissions, though it will be necessary to use the ID for the final ECCV version, OpenRsrch version, Springer version and ECCV attendance registration. *Important Dates* - Initial submissions (Late): 23:59:59 PDT July 07, 2014 - Notification of acceptance (Late submissions): July 17, 2014 - Submission of publication-ready version: July 24, 2014 - Workshop date: September 7, 2014 *Organizers* Karthik Mahesh Varadarajan <http://www.karthikmahesh.com> (varadarajan(at) acin.tuwien.ac.at), TU Wien Alireza Fathi <http://ai.stanford.edu/~alireza/> (alireza(at)cs.stanford.edu) Stanford Juergen Gall <http://www.vision.ee.ethz.ch/~gallju/> (gall(at) iai.uni-bonn.de), Univ. Bonn Markus Vincze <http://www.acin.tuwien.ac.at/index.php?id=231&L=1> (vincze(at)tuwien.ac.at), TU Wien *Speakers and Participants* (To be updated) Fei-Fei Li (Affordances in Computer Vision), Stanford University, USA Abhinav Gupta (Affordances in Computer Vision), Carnegie Mellon University, USA Derek Hoiem (Affordance Semantics), University of Illinois at Urbana-Champaign, USA Ashutosh Saxena (Affordances in Cognitive Robotics), Cornell University, USA Aaron Bobick (Affordances in Robotics), GeorgiaTech, USA *Program Committee* Irving Biederman (USC) Aude Oliva (MIT) Martha Teghtsoonian (Smith College) Barbara Caputo (Univ. of Rome, IDIAP) Song-Chun Zhu (UCLA) Antonis Argyros (FORTH) Tamim Asfour (KIT) Trevor Darrell (UC. Berkeley) Michael Beetz (TUM) Norbert Krueger (Univ. of Southern Denmark) Sven Dickinson (Univ. of Toronto) Erhan Oztop (Ozegin Univ.) Diane Pecher (Erasmus Univ. Rotterdam) Jason Corso (UB New York) Juan Carlos Niebles (Universidad del Norte) Tamara Berg (UNC Chapel Hill) Moritz Tenorth (Univ. Bremen) Dejan Pangercic (Robert Bosch) Roozbeh Mottaghi (Stanford) Xiaofeng Ren (Amazon) David Fouhey (CMU) Tucker Hermans (Georgia Tech) Tian Lan (Stanford) Amir Roshan Zamir (UCF) Hamed Pirsiavash (MIT) Walterio Mayol-Cuevas (Univ. of Bristol)

June 26, 2014

Research Fellow (Postdoc) Position on Multiagent Systems

by Jay Zhang

Research Fellow (Postdoc) position is available at the School of Computer Engineering (http://www.ntu.edu.sg/SCE) Nanyang Technological University, Singapore, starting January 2015. You will be conducting research and development in the area of multiagent systems, agent modeling, and multiagent simulation. Specifically, it is an industry funded project and you will be working closely together with the team in NTU and a world-wide reputable company. You will be researching, designing and developing agent models and multiagent simulations to support decision making for complex business systems. The salary is highly competitive. The School of Computer Engineering is fast growing, so is the company. Singapore is also establishing two new universities. Thus, a plenty of opportunities for future long-term career are available. *Required Qualifications* (1) PhD degree in CS or a related discipline; (2) Sufficient research and development experience in multiagent systems, agent modeling, and multiagent simulation; (3) Excellent programming skills; (4) Excellent English writing and speaking skills. *How to apply* Interested applicants please attach your full CV and all relevant academic certificates to Jie Zhang <zhangj(a)ntu.edu.sg> <zhangj(a)ntu.edu.sg> Note: Position is open until filled, and only shortlisted applicants will be contacted.

June 25, 2014

Postdoc position at NYU

by Weiji Ma

*Postdoc position: decision-making and learning in combinatorial games* Applications are invited for a postdoctoral position in my laboratory in the Center for Neural Science and Department of Psychology at New York University (www.cns.nyu.edu/malab) The position is for two years, with the possibility of extension. The long-range goal of the lab is to understand decision-making under uncertainty. The specific project is an NSF-funded one on how humans think ahead, decide, and learn in two-player, full-information games (such as chess, go, or tic-tac-toe). We will use human behavioral experiments, machine learning, eye tracking, and potentially fMRI to dissect the roles of heuristics, pruning strategy, and cognitive constraints in human play in a simplified, tractable game environment. Applicants should have a Ph.D. in machine learning, artificial intelligence, game theory, computational neuroscience, or mathematical, perceptual, or cognitive psychology, and be familiar with at least one other of these fields. Experience with probabilistic models is required. To apply, please send your CV, a description of why you are interested, and the contact information of two references to me at weijima(a)nyu.edu. Do not hesitate to email me if you have any questions about. Consideration of applications will begin immediately and will end when the position is filled. Salary will be competitive and commensurate with experience and qualifications. -- Wei Ji Ma, Ph.D. Associate Professor Center for Neural Science and Department of Psychology New York University http://www.cns.nyu.edu/malab

June 25, 2014

postdoctoral position at Boston University on rule-based decisions

by Nancy Kopell

A 3-year postdoctoral position is available to work with Nancy Kopell on computational models of rule-based decisions. The models will be detailed biophysical models, focusing on the pre-frontal area and striatum, incorporating new data about rhythms in those areas; the work will be in collaboration with various experimentalists. We are looking for candidates having some experience working with large-scale biophysical models. The successful candidate will have opportunities for interaction with a large community of experimental and computational neuroscientists via the Cognitive Rhythms Collaborative, a highly networked group of over two dozen labs, mostly in the Boston area, interested in brain dynamics. The CRC contains members with expertise in areas that include probe design, in vivo and in vitro physiology, data analysis, dynamical systems modeling, mesoscale network modeling, cognitive diseases, anesthesia and neurosurgery. Candidates should email a short letter of research interest including their skills and experience, CV and the names of three references to Nancy Kopell (nk(a)bu.edu) as soon as possible.

June 24, 2014

Workshop Announcement: Statistical Challenges in Neuroscience (Warwick, UK, Sept. 3-5 2014)

by Simon Barthelme

Statistical Challenges in Neuroscience - call for Poster Presentations ---------- We are pleased to announce that a workshop on "Statistical Challenges in Neuroscience" will take place Sept. 3 to 5, 2014 in Warwick, UK, and will be hosted by the Center for Statistical Methodology (CRiSM). The goal of the workshop is to bring together researchers from statistics and (computational) neuroscience, to hopefully create greater awareness within the statistical community of the kind of challenges that arise in neuroscience, and to introduce some recent developments in statistics to neuroscientists with an interest in methods. The list of speakers, preliminary program, and abstracts can be viewed on the workshop's website: http://www2.warwick.ac.uk/fac/sci/statistics/crism/workshops/neuroscience/ Topics include the analysis of imaging data (from fMRI to calcium imaging), connectome analysis and likelihood-free techniques. The workshop will include a poster session, and we would like to invite anyone interested, particularly students and junior researchers, to submit abstracts. The deadline for both registration and poster abstract submission is Monday 19th August. However, the number of participants is limited and spots will be allocated on a first-come, first-served basis. Poster abstract submissions can be made via the website: http://www2.warwick.ac.uk/fac/sci/statistics/crism/workshops/neuroscience/s… Limited travel support will be available for "young researchers", see http://www2.warwick.ac.uk/fac/sci/statistics/crism/workshops/neuroscience/b… Looking forward to seeing you in Warwick, The Organisation Committee: Adam Johansen (University of Warwick), Nicolas Chopin (CREST-ENSAE), Simon Barthelme (University of Geneva)

June 24, 2014

Job opening in Juelich, Germany: Coordinator Scientific Computing

by Martina Reske

The Institute of Neuroscience and Medicine (INM) investigates the structure and function of the human brain on different spatial and temporal scales within the research program "Decoding the Human Brain". The brain's high complexity and plasticity over the lifespan of an individual, as well as changes during neuropsychiatric disorders, requires the use of innovative imaging methods and supercomputing technology. Basic neuroscience research heavily relies on modeling and simulation, which are necessary to approach the brain's immense complexity, manage the huge amount of resulting data ("Big Data"), and develop reliable control techniques. Acquired knowledge allows for the translation of basic findings into clinical applications to better understand neurological and psychiatric disorders, to refine diagnostic processes, and to develop therapy strategies - crucial tasks we have to face in ageing societies. The department INM-6, Computational and Systems Neuroscience (see www.csn.fz-juelich.de<http://www.csn.fz-juelich.de>), develops mathematical models of neuronal dynamics and function. Model-driven analyses of brain activity and structure as well as simulation of biologically realistic models are core foci of our work. We develop corresponding simulation technologies and analysis tools. We are looking to recruit a Coordinator Scientific Computing (f/m) Your Job: * Planning, purchasing, set-up and management of Linux and Windows systems, communication systems and software * Support of institute's databases and online tools; user management * Direct support of scientists * Involvement in development of simulation software for neural systems * Involvement in development of software for the analysis of (massively parallel) neural data * Participation in working group leaders' meeting Your Profile: * Completed study of informatics, mathematics or physics * Substantial expertise in C, C++ and Python * Substantial knowledge of Linux and Windows * Experience with administration of HPC clusters, file, web and print servers as well as with parallel computing (ideally in neuroscience) * Beneficial: Basic knowledge of neuroscience concepts * Ability and willingness to work independently and proactively * Confident appearance and ability to work cooperatively in an interdisciplinary environment * Good interpersonal and communication skills * Structured and systematic working style * Fluent in English (spoken and written) Our Offer: * A creative and varied working environment * limited for 2 years * Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Forschungszentrum Jülich aims to employ more women in this area and therefore particulary welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application via our online recruitment system, quoting the reference number 2014-109. Please see here for the official job announcement and the link to our application tool: http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2014-109-EN… Kind regards, Martina -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr. Achim Bachem (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

June 24, 2014

Fwd: 7 days left for abstract submission IPEG 2014

by Martijn Arns

Dear colleagues, see below, only 7 days left for abstract submission for IPEG 2014. There are also some further updates to the program and speakers. Main topics of the conference are Pharmaco-EEG, Personalized Medicine (Research Domain Criteria, RDoC), Neuromodulation etc. Martijn Arns Begin doorgestuurd bericht: Van: IPEG society <sebastian.olbrich(a)medizin.uni-leipzig.de<mailto:sebastian.olbrich@medizin.uni-leipzig.de>> Onderwerp: 7 days left for abstract submission IPEG 2014 Datum: 24 juni 2014 00:49:21 CEST Aan: <martijn(a)brainclinics.com<mailto:martijn@brainclinics.com>> Antwoord aan: IPEG society <sebastian.olbrich(a)medizin.uni-leipzig.de<mailto:sebastian.olbrich@medizin.uni-leipzig.de>> Last call for abstracts IPEG-Meeting View this email in your browser<http://us8.campaign-archive1.com/?u=6c19f6fe4835a13ca14644c8b&id=f39894f09f…> [https://gallery.mailchimp.com/6c19f6fe4835a13ca14644c8b/images/IPEG_LOGO.JPG]<http://ipeg-society.us8.list-manage.com/track/click?u=6c19f6fe4835a13ca1464…> IPEG-Meeting 2014 from 25th-28th September in Leipzig, Germany Only 7 days left for abstract submission <http://ipeg-society.us8.list-manage.com/track/click?u=6c19f6fe4835a13ca1464…> and for early bird registration!<http://ipeg-society.us8.list-manage.com/track/click?u=6c19f6fe4835a13ca1464…> Abstract Submission<http://ipeg-society.us8.list-manage.com/track/click?u=6c19f6fe4835a13ca1464…> Confirmed Speakers:<http://ipeg-society.us8.list-manage.com/track/click?u=6c19f6fe4835a13ca1464…> Scott Makeig (USA): EEG and measures of arousal Hartmuth Schulz (Germany): Sleep EEG Christoph Mulert (Germany): From maps to mechanisms: Multimodal Imaging with EEG, fMRI and DTI in Psychiatry Leslie S. Prichep (USA): qEEG in neuropsychiaric disorders Clifford B. Saper (USA): Neurophysiology of sleep-wake regulation Martijn Arns (Brainclinics/Utrecht University, the Netherlands): EEG alpha asymmetry as a gender specific predictor of outcome to acute treatment with different antidepressant medications in the iSPOT-D study Ulrich Hegerl (University Leipzig, Germany): EEG-vigilance regulation in neuropsychiatric disorders Sebastian Olbrich (University Leipzig, Germany): EEG-vigilance and activity of the autonomous nervous system in the prediction of antidepressant medication Gerard Bruder (Columbia University, NY, USA): EMBARC study on biological biomarkers in major depression Natalia Jaworska (McGill University, Montreal) Jürgen Gallinat (University Berlin, Germany) Special Symposium: TMS-EEG - a novel technique to study brain excitability and connectivity (chair Ulf Ziemann, Tübingen, Germany) Prof. Hegerl, Scientific Head of the Conference and Director of the Clinic and Policlinic for Psychiatry and PSychotherapy, University Leipzig IPEG Board and Conference-Organization Group Abstract Submission<http://ipeg-society.us8.list-manage1.com/track/click?u=6c19f6fe4835a13ca146…> [Twitter]<http://ipeg-society.us8.list-manage.com/track/click?u=6c19f6fe4835a13ca1464…> Twitter<http://ipeg-society.us8.list-manage.com/track/click?u=6c19f6fe4835a13ca1464…> [Website]<http://ipeg-society.us8.list-manage.com/track/click?u=6c19f6fe4835a13ca1464…> Website<http://ipeg-society.us8.list-manage1.com/track/click?u=6c19f6fe4835a13ca146…> [http://cdn-images.mailchimp.com/icons/social-block/color-twitter-128.png]<http://ipeg-society.us8.list-manage1.com/track/click?u=6c19f6fe4835a13ca146…> Tweet<http://ipeg-society.us8.list-manage.com/track/click?u=6c19f6fe4835a13ca1464…> [http://cdn-images.mailchimp.com/icons/social-block/color-forwardtofriend-12…]<http://us8.forward-to-friend1.com/forward?u=6c19f6fe4835a13ca14644c8b&id=f3…> Forward<http://us8.forward-to-friend1.com/forward?u=6c19f6fe4835a13ca14644c8b&id=f3…> [http://cdn-images.mailchimp.com/icons/social-block/color-googleplus-128.png]<http://ipeg-society.us8.list-manage2.com/track/click?u=6c19f6fe4835a13ca146…> +1<http://ipeg-society.us8.list-manage.com/track/click?u=6c19f6fe4835a13ca1464…> [https://gallery.mailchimp.com/6c19f6fe4835a13ca14644c8b/images/LOGO_Uni.jpg]

June 24, 2014

On behalf of neurocourses.com: Brain anatomy courses - July + Aug 2014, King's College London

by Reinoud Maex

Hi.. I don't want to subscribe to this list, but thought I would be able to post an item of (potential) interest to subscribers and had expected that it would be moderated. If a member can forward the info about my course then that would be great -- otherwise, not to worry. Best wishes Paul Johns > > Functional neuro-anatomy course(s) - July + Aug 2014, King's College London > > Summer 2014: > Neuroanatomy course announcement -- please see details below. > > *** Reduced rate accommodation available at King's College: £40 / night. > > ---------------- > > > ------------------------------------ > > HUMAN BRAIN ANATOMY COURSE (3 days) > > Comprehensive introduction to functional neuroanatomy > > Assumes minimal prior knowledge > > Emphasises functional, clinical and MRI brain anatomy > > Mean delegate feedback score: 4.9 / 5 > > > > When: 23rd - 25th July 2014 > > Where: Guy's Campus, King's College London* > > Price: £395 (includes colour handbook) > > > > Register online at www.neurocourses.com > > > > LIMBIC BRAIN ANATOMY COURSE (2 days) > > Neuroanatomy for psychiatry, neurology and neuroscience > > More advanced course focusing on key limbic brain areas > > (e.g. limbic lobe, hippocampus, amygdala, ventral striatum) > > > Mean delegate feedback score: 4.9 / 5 > > > > When: 21st - 22nd August 2014 > > Where: Guy's Campus, King's College London* > > Price: £295 (includes colour handbook) > > > > Register online at www.neurocourses.com > > > > Course Director > > Dr Paul Johns, BSc BM MSc FRCPath > (Consultant neuropathologist / senior lecturer in neuroanatomy) > > Author of > > Clinical Neuroscience: An Illustrated Colour Text > > > > See course photos and delegate reviews on Facebook: > > https://www.facebook.com/Neurocourses > > > > *Please note that Neurocourses UK is not affiliated to King's College London.

June 24, 2014

positions available at Martinez-Conde lab in SUNY, New York City

by Susana Martinez-Conde

Dear Colleagues, The Martinez-Conde lab (http://smc.neuralcorrelate.com <http://smc.neuralcorrelate.com/> ) is moving this summer to SUNY's Downstate Medical Center (http://www.downstate.edu <http://www.downstate.edu/> ) in Brooklyn, New York City, under SUNY's Empire Innovator Program (https://www.suny.edu/media/suny/content-assets/communication/publicationsre portsdata/FacultyExcellence.pdf). The laboratory will be in the Department of Ophthalmology (http://www.downstate.edu/ophthalmology) at SUNY Downstate (a 25-minute subway ride to Times Square) and part of the SUNY Eye Institute (http://www.sunyeye.org <http://www.sunyeye.org/> ). Predoctoral and postdoctoral positions are available. Interested candidates should email their CVs to smart at neuralcorrelate.com. <http://visionscience.com/mailman/listinfo/visionlist> Experience in psychophysical and/or neurophysiological techniques is required. The preferred candidates will have a strong background in programming (Matlab, C++, Python) and quantitative methods as evidenced by first-author publications. The Martinez-Conde lab's research program is at the interface of visual, oculomotor and cognitive neuroscience. Representative publications can be downloaded from http://smc.neuralcorrelate.com/publications. The State University of New York is an Equal Opportunity Employer. Thank you for your interest, ---------------------------------------------------------------- Susana Martinez-Conde, PhD Director, Laboratory of Visual Neuroscience Division of Neurobiology Barrow Neurological Institute 350 W. Thomas Rd Phoenix AZ 85013, USA Phone: +1 (602) 406-3484 Fax: +1 (602) 406-4172 Email: smart(a)neuralcorrelate.com http://smc.neuralcorrelate.com

June 23, 2014

PhD and Postdoc in Cognitive Control, Communication and Perception

by Alex Ossadtchi

The Faculty of Psychology, Higher School of Economics (HSE, Moscow) is pleased to announce a number of post-doctoral and PhD student positions at the new research group for Cognitive Control, Communication and Perception, which is currently being established at HSE, Center for Neuroeconomics and Cognitive Studies. This new international group will operate in collaboration with the Centre of Functionally Integrative Neuroscience at Aarhus University (Denmark), Psychology Department at Northumbria University Newcastle (UK), and other international collaborators. Our key international coordinators are Professor Yury Shtyrov (Aarhus) and Dr Andriy Myachykov (Northumbria). The postholders will have an advantage of being able to further define and expand the newly established research program. Potential topics include (but are not limited to): neural dynamics of language comprehension, automaticity and top-down control in communication, sensory-motor integration in cognitive functions, embodied cognition, interactions between domain-specific and domain-general cognitive systems, neurocognitive bases of language acquisition, studies of communication deficits (e.g. aphasia) etc. Research facilities include multi-channel EEG, navigated TMS-EEG and eye- tracking equipment, all recently installed at the Faculty, as well as local access to MEG, fMRI and a range of neurological populations. The HSE is a young, dynamic, fast-growing Russian research university providing unique research opportunities ( http://hse.ru/en,http://psy.hse.ru/en/) The Faculty of Psychology is committed to developing various areas of modern experimental psychology and, most crucially, Cognitive Neuroscience. Working conditions: - Access to multimodal neuroimaging facilities (brain-navigated TMS, multichanel EGG, MEG, eye-tracking, etc. http://psy.hse.ru/en/res-center ) - Internationally competitive salary, 13% flat income tax rate and other benefits - Generous travel support and research grants provided by the University’s Centre for Advanced Studies (www.cas.hse.ru) - Low teaching load, minimal administrative service required - Heavy emphasis on high quality research Requirements for the PostDoc position: position - Ph.D. in psychology, cognitive neuroscience, language sciences or related fields - Fluent English (knowledge of Russian is not required) - Demonstrated ability and high motivation to conduct high-quality research publishable in quality international peer-reviewed journals Requirements for the PhD student position: - MS degree in psychology, cognitive neuroscience, language sciences or related fields - Fluent English (knowledge of Russian is not required) - Demonstrated ability and high motivation to conduct high-quality research publishable in quality international peer-reviewed journals Generally appointments will be made for an initial 2,5-year period and upon successful completion of an interim review, contracts would normally be extended for a further three years until the tenure review. Please provide a CV, at least 2 letters of reference forwarded directly, a statement of research interest and a recent research paper. All materials should be addressed to Dr. Viсtoria Moiseeva, no later than June 20. If you have any further questions, please contact Dr. Viсtoria Moiseeva vmoiseeva(a)hse.ru

June 21, 2014

PhD/MSc Position in Computational Neuroscience at the University of Lethbridge, Canada

by Tatsuno, Masami

One PhD/MSc position is available immediately in the lab of Prof. Masami Tatsuno at the Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Canada ( http://www.uleth.ca ). We investigate memory processes of the awake/sleeping brain experimentally and computationally with the goal of understanding how spontaneous reactivation of memory sequences facilitates performance improvement. We have been performing multi-electrode recordings in freely behaving animals as well as neural data analysis by statistical methods such as information geometry. The successful candidate will work on one or a combination of projects aimed at developing a novel analysis method for neural signals, analyzing neural data, and modeling memory function. The successful candidate will also have an opportunity to participate in electrophysiological recordings. A high degree of interaction with the experimental team in my lab as well as the Brain Dynamics group ( http://lethbridgebraindynamics.com ) will be also expected. Applicants should have a strong programming (e.g., MATLAB) and quantitative background (e.g., BSc/MSc degree in physics, math or computer science etc.). Experience with neuronal modeling is a plus. Candidates should email a short letter of research interest including their skills and experience, CV and the names of three references to Masami Tatsuno ( tatsuno(a)uleth.ca ) as soon as possible. Please do not have reference letters sent unless requested. Applicants should put "CompNeuro PhD/MSc recruitment" in the subject of their email. Funding is available through our departmental NSERC CREATE grant in Biological Information Processing. Lethbridge is located two hours from Calgary, 90 minutes from the Canadian Rockies and is a safe, family friendly environment. ********************************************* Masami Tatsuno, Ph.D. Assistant Professor of Neuroscience The University of Lethbridge Email: tatsuno(a)uleth.ca http://lethbridgebraindynamics.com/masami_tatsuno *********************************************

June 20, 2014

International Neural Network Society (INNS) announces new Section on Big Data Analytics

by Asim Roy

I am pleased to announce that the International Neural Network Society (INNS) has formed a new Section on Big Data Analytics (BDA). Please visit the webpage http://www.inns.org/big-data-section for further information. Neural networks have certain distinct advantages over other forms of learning. They include: (1) well-developed methods for online incremental learning that involve simple computations, (2) no scalability issues, (3) they can learn from all of the data instead of samples of data, (4) being able to use massively parallel computations unlike other learning methods, (5) availability of neuromorphic hardware for implementation of neural network learning, and (6) hardware-based real-time learning. Of course some challenges remain, including automation of learning that would avoid human intervention and tweaking of algorithms for every application and high-dimensional data. But we are making progress on these remaining challenges. Neural network based real-time learning should open the door to wider deployment of big data analytics. Fast and efficient learning, using massively parallel computations, is important to the Industrial Internet and streaming big data. So please join us in this exciting adventure by becoming a member of INNS and its Big Data Analytics Section. Visit http://www.inns.org/ for further information about the organization and its membership. We are also looking for industrial sponsors of this Section to do mini-workshops and other activities. We plan to have our first Big Data Analytics Section social gathering and organizational meeting at WCCI 2014 in Beijing. It will be on Monday (July 7) evening in the Peony room at the Continental Grand Hotel (2nd floor) from 6 pm to 10 pm. If you are planning to attend WCCI in Beijing, I invite you to join us at this first meeting. If you are interested in taking a leading role in this Section, please let me know (Asim.Roy(a)asu.edu<mailto:Asim.Roy@asu.edu>). Asim Roy Arizona State University Chair – Big Data Analytics Section www.lifeboat.com/ex/bios.asim.roy<http://www.lifeboat.com/ex/bios.asim.roy>

June 20, 2014

[PhD] An integrated experimental and modeling approach to gaze orientation and learning

by Laurent Perrinet

An opening is available for a PhD project focusing on an integrated experimental and modeling approach to gaze orientation and learning. Please note that candidates should apply before July 15th, 2014. Cheers, Laurent Call for candidates for one PhD fellowship at the Institut de Neurosciences de la Timone CNRS & Aix-Marseille University (AMU) Gaze orientation and learning: an integrated experimental and modeling approach PhD supervisors: Anna Montagnini and Laurent Perrinet (InViBe team) How do we maintain the accuracy of our movements despite changes occurring in our environment or within the organism? Our research project is to shed a new light on this question within a unified theoretical framework centred on reinforcement learning. We will study visually driven, voluntary eye movements as a model for motor learning. Indeed, these provide an ideal experimental preparation to probe sensorimotor decisions across different time-scales, processing levels (from sensory encoding to the final categorical choice) and movement repertoire (e.g. smooth pursuit vs saccades). In addition, a remarkable flexibility of simple oculomotor behaviors has been highlighted, by manipulating the expectancy for sensory features or the outcome associated to particular motor responses. Behavioral experiments on human eye movements will be designed, implemented and used to benchmark new theoretical models based on the probabilistic framework. The main focus will be on the modulation of oculomotor behavior (latency and metric properties, such as amplitude or speed) that is observed in a changing environment, especially in relation to a dynamic reinforcement schedule. The proposed PhD is part of a project (Reinforcement and Eye Movements – REM, see http://invibe.net/LaurentPerrinet/TagAnrRem) funded by the French National Research Agency ANR, and it will be conducted in close collaborations with researchers at INT in Marseille (A. Montagnini, L. Perrinet and F. Danion) and at the University of Lille (L. Madelain and J. Jozefowiez). The Institut de Neurosciences de la Timone (see http://www.int.univ-amu.fr/?lang=en) brings together a large, young and dynamic community of scientists interested in frontline aspects of the integrative neurosciences. The net salary will be around 1430 euros per month. Applicants should have a keen interest in cognitive science and hold a Master or equivalent degree in a relevant field (computational or cognitive neuroscience, computer science, psychology, engineering, physics, or mathematics). The selection process will strongly favor candidates with excellent programming skills and/or experience with eye tracking and visual psychophysics. Knowledge of French is not mandatory, although willing to learn it will facilitate enjoying life in Marseille and its beautiful surroundings. Applications are now being accepted and until July 15th, 2014. Interested candidates should send a CV, brief summary of research accomplishments and interest, and the contact information for two to three referees familiar with the candidates’ backgrounds. Position needs to be filled by September, 1st, 2014. Please, send applications (in a single PDF file) to Anna.montagnini(a)univ-amu.fr and Laurent.perrinet(a)univ-amu.fr. Relevant publications Bogadhi A, Montagnini A, Perrinet LU, Mamassian P & Masson GS (2011) Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference. Vision Research 51, 867-880 Khoei MA, Masson GS, Perrinet LU (2013). Motion-based prediction explains the role of tracking in motion extrapolation. Journal of Physiology-Paris, 107(5):409—420 Bogadhi A, Montagnini A & Masson GS (2013) Dynamical interaction between retinal and extra-retinal signals in motion integration for smooth pursuit. Journal of Vision 13(13) : 1-25 Servant M, Montagnini A & Burle B (2014) Conflict tasks and the diffusion framework: Insight in model constraints based on psychological laws Cognitive Psychology, 72(2014):162-195 Simoncini C, Perrinet LU, Montagnini A, Pascal Mamassian, Guillaume S. Masson (2012). More is not always better: dissociation between perception and action explained by adaptive gain control. Nature Neuroscience 15(11):1596-603 Sanz-Leon P, Vanzetta I, Masson GS, Perrinet LU (2012) Motion Clouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception. Journal of Neurophysiology, 107(11):3217--3226, Montagnini A., Mamassian P., Perrinet L., Castet E. and Masson G. (2007). Bayesian modeling of dynamic motion integration. Journal of Physiology-Paris, Vol 101(1-3):64-77 Perrinet LU, Adams R, Friston K (2014) Active Inference, eye movements and oculomotor delays. Submitted. Adams RA, Perrinet LU, Friston K (2012) Smooth Pursuit and Visual Occlusion: Active Inference and Oculomotor Control in Schizophrenia. PLoS ONE, 7(10):e47502 Spering M, and Montagnini A (2011) Do we track what we see? Common versus independent processing for motion perception and smooth pursuit eye movements: A review. Vision Research 51: 836–852 Montagnini A and Chelazzi L (2005) The urgency to look: Prompt saccades for the benefit of perception. Vision Research, 45 (27): p. 3391-3401. Madelain, L., Herman, J. P., & Harwood, M. R. (2013) Saccade adaptation goes for the goal. Journal of Vision, 13(4). Madelain, L., Paeye, C., & Wallman, J. (2011) Modification of saccadic gain by reinforcement. Journal Neurophysiology, 106(1), 219-232.

June 20, 2014

Postdoc position in computational neuroscience (University of Leicester, UK)

by Joaquín Navajas

Postdoc in computational neuroscience (University of Leicester, UK) Description: Spike sorting is the classification of single neurons from extra-cellular recordings based on their spike shapes. The main focus of your research will be the study and implementation of optimal spike detection and sorting techniques. For this you will study different techniques to improve the spike detection and sorting results and will then implement these advances in a graphic user interface and in batch codes to run in Matlab. Group: Centre for Systems Neuroscience (http://www.le.ac.uk/csn) Visit the University of Leicester job site for more details, input the job reference (SEN00493) and click search. http://www2.le.ac.uk/offices/jobs/opportunities/jobsearch Informal enquiries are welcome and should be made to Sue Atkinson, Research Centre Manager, sam45(a)le.ac.uk or 0116 252 3249.

June 20, 2014

Call for Participation: The 2014 IEEE CIS / REGIM-Lab. Summer School on Computational Intelligence – Theory and Applications

by Stephen G Matthews

** Please accept our apologies if you have received multiple copies. ** ====================================================== 2014 IEEE CIS/REGIM-Lab Summer School on Computational Intelligence – Theory and Applications (SS-CITA 2014) http://cita.regim.org/ 11-14, August 2014, Ramada Plaza Tunis Hotel, Tunisia ====================================================== Sponsors: IEEE Computational Intelligence Society and REGIM-Lab. Registration: http://cita.regim.org/registration/ The main goal of the summer school is to provide undergraduate students, M.Sc. or PhD students, academics, and engineers from industry with hands-on knowledge on sophisticated Computational Intelligence (CI) algorithms and methods, most recent advances and developments in CI research, and substantial examples of successful CI applications to solving complex real-world problems. The school includes theoretical and practical sessions. The choice of such topic is based on the growing attention paid towards intelligent systems. The school aims also to discuss the challenges and to strengthen the connection between academia and industry in the area of Computational Intelligence. The program of the school includes theoretical and practical talks during four days from 11 to 14 August 2014. It also includes poster session. All students have to present their ideas / works in a poster. A best poster award will be announced in the closing session. Seven well-known speakers: http://cita.regim.org/speakers/ - Cesare Alippi, IEEE Fellow, Politecnico di Milano, Italy. Topic: Supervised Learning: from the Basics to Learning in non-stationary Environments - Farouk Cherif, University Sousse, Tunisia. Topic: Basics on Recurrent Neural Network - Robert John, University of Nottingham, United Kingdom. Topic: Type-2 Fuzzy Logic: Theory and Applications - Fakhri Karray, University of Waterloo, Canada. Topic: SVM , Fundamentals and Advanced Topics - Okyay Kaynak (IEEE CIS Distinguished Lecturer) IEEE Fellow, Bogazici University, Turkey & Harbin Institute of Technology (HIT), China. Topic: Intelligent Systems: An Assesment of the Past and the Prospects for the Future - Volker Märgner, Technische Universität Braunschweig, Germany. Topic: Historical Document Processing – An Application of Computational Intelligence - Ahmed Rubaai, Howard University, Washington, DC, USA - IEEE-IAS Publications Department chair. Topic: Computational Intelligence Techniques for Industrial Systems For further information, please don't hesitate to contact the Organizing Committee: http://cita.regim.org/organizing-committee/ ================================= Local information contact: Habib M. Kammoun IEEE CIS Tunisia Chapter E-mail: habib.kammoun(a)ieee.org

June 19, 2014

Open PhD Position: Computational Modeling and Eye Tracking in Infancy Research

by Jochen Triesch

An opening is available for an interdisciplinary PhD project in the group of Jochen Triesch at the Frankfurt Institute for Advanced Studies (FIAS, http://fias.uni-frankfurt.de/de/) focusing on computational modeling and gaze-contingent eye tracking in infancy research. Gaze-contingent eye tracking techniques, which allow young infants to exert control over the course of the experiment, are currently opening up new ways of studying infant's cognitive development [1], training their cognitive abilities [2], and hold promise for diagnosing and treating developmental disorders. We are seeking an outstanding and highly motivated PhD candidate for an exciting project in collaboration with the developmental psychology group of Prof. Monika Knopf at Goethe University Frankfurt. Additional collaborators of our lab include leading developmental psychology and cognitive science labs in Italy (Prof. Gianluca Baldassarre, Rome), and the US (Prof. Chen Yu, Indiana University, Prof. Gedeon Deák, UC San Diego). Applicants should have a keen interest in cognitive development and hold a Master or equivalent degree in a relevant field such as cognitive science, computer science, psychology, engineering, physics, or mathematics. The candidate should have excellent programming skills (e.g. Matlab, Python, C/C++) and good analytic skills. Experience with eye tracking and knowledge in machine learning (e.g., reinforcement learning, neural networks, Bayesian models), computational neuroscience (attention and reward systems), and data analysis (time series analysis, hypothesis testing) are a plus. The Frankfurt Institute for Advanced Studies is a research institution dedicated to fundamental theoretical research in various areas of science. It is embedded into Frankfurt's recently established natural science research campus. Frankfurt is the center of one of the most vibrant metropolitan areas in Europe. Apart from being an economic and financial hub, it boasts rich cultural assets and repeatedly earns top rankings in worldwide surveys of quality of living. Applications should include a 1-2 page statement of research experience and interests, CV including publications, awards, and relevant course work, academic transcripts, and contact information for two to three references. All documents should be sent in pdf format. Send applications to application(a)fias.uni-frankfurt.de. We aim to fill the position during Fall 2014. [1] Wang Q, Bolhuis J, Rothkopf CA, Kolling T, Knopf M & Triesch J. (2012) Infants in Control: Rapid Anticipation of Action Outcomes in a Gaze-Contingent Paradigm. PLoS ONE 7(2): e30884. http:dx.doi.org/10.1371/journal.pone.0030884 [2] Wass SV, Porayska-Pomsta K & Johnson MH (2011). Training attentional control in infancy. Current Biology 21 (18), 1543-1547. http://dx.doi.org/10.1016/j.cub.2011.08.004 -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

June 18, 2014

CFP - SSD 2015 - Tunisia

by nabil derbel

Dear Colleagues, This is a friendly reminder of the 12th International Multi-Conference on Systems, Signals & Devices to be held in Sfax-Tunisia, from 16th - 19th of March 2015. Find at <http://www.ssd-conf.org/> www.ssd-conf.org/ssd15 the last news on the conference. Check there if a special sessions fits your interests. Students participation is strongly encouraged; they would participate to best paper student award. Paper submission must be via EDAS the Conference Manager : <http://edas.info/N17187> http://edas.info/N17187 The SSD15 Conference SSD is organized in five parallel tracks, available to all participants: SAC – Systems, Analysis and Automatic Control, which covers topics related to system design, modern control theory, robotics and human-machine interaction systems. PES – Power Electrical Systems, oriented to power systems and applications, from generation, management, control, monitoring and smart grids. CSP – Communications and Signal Processing, dealing with communication systems (radio, TV, antennas), digital and analog signal and image processing... SCI – Sensor, Circuits and Instrumentation Systems, covering all types of sensors and applications, interface circuits, sensors operability, instrumentation and micro and nanoelectronics. CIT – Computers and Information Technology, covering all types of Computer Technology; Embedded Systems; Cloud Computing; Distributed Systems; Real Time Systems. Key Dates Special session proposal: September 15, 2014 Regular paper submission: September 30, 2014 Acceptance notification: January 15, 2015 Final paper submission: January 30, 2015 Call for papers Papers should be up to 4 pages length, written in English (templates available at the website). Paper submission should be done electronically to <http://edas.info/N14687> http://edas.info/N14687. Papers will be reviewed by at least 2 or 3 reviewers. Final accepted papers will be published in the SSD’15 Proceedings which will be submitted for publication in IEEE Xplorer® after the conference. We are looking forward to welcoming you in Sfax, Tunisia. Kind regards, Jawhar Ghommam and Faouzi Derbel General Chairs ==============================================================

June 18, 2014

Call for papers

by Cong Christine Guo

Dear neuroimaging researchers, We are running a special issue of IEEE Transactions on Autonomous Mental Development on "Multimodal Modeling and Analysis Informed by Brain Imaging". This special issue is dedicated to explore the interplay between cognitive neuroscience and multimedia content analysis. If your work concerns about using multimedia, such as films and music, as stimuli to understand the brain, or using brain imaging data to guide multimedia content analysis, this special issue could be a potential avenue for sharing your work. More details can be found at http://caid.cs.uga.edu/?name=article_info&xid=2480391402423658454. Please note all submissions are subject to normal reviews. Look forward to your contributions.

June 17, 2014

Computational neuroscience at NI2014 in Leiden, Netherlands on August 25-27

by Malin Sandström

Want to learn more about new and exciting tools for neuroscience research, find new collaborators and discuss your latest results with a cross-disciplinary scientific audience? Then join us at NI2014 in Leiden, Netherlands, August 25-27! Our program includes keynote presentations by leading computational neuroscientists and workshops on describing synaptic dynamics, building cortical circuits, and modelling in open source collaborative projects. Keynotes: - Margarita Behrens: The epigenome and brain circuit changes during postnatal development - Mitya Chklovskii: Can connectomics help us understand neural computation? Insights from the fly visual system - Daniel Choquet: A nanoscale view into the dynamic of AMPA receptor organization in synapses - Viktor Jirsa: The Virtual Brain: a simulator of large-scale brain network dynamics - Michael Milham: Emerging models for biomarker identification - Felix Schürmann: In silico neuroscience – an integrative approach Workshops: - The Neuroinformatics of neuroanatomy. Chair: Maryann Martone. Speakers: Trygve Leergard, Jacopo Annese, Douglas Bowden, Mike Hawrylycz - Building the brain. Chair: Paul Tiesinga. Speakers: Geoff Goodhill, Tomomi Shigomori, Rodney Douglas, Nenad Sestan - Synaptic computation workshop. Chair: L. Niels Cornelisse. Speakers: Erik De Schutter, Bert Kappen, Alexander Walter, Michele Giugliano - Open collaboration in computational neuroscience. Chair: Angus Silver. Speakers: Stephen Larson, Padraig Gleeson, Rick Gerkin and Shreejoy Tripathy, Aurel A. Lazar Also including: - Special session on big data. Chair: Sean Hill. Speakers: Yike Guo, Asla Pitkanen. - Symposium on population-based neuroimaging (hosted by the INCF Netherlands Node) - Open community hackathon. See the full program here: http://neuroinformatics2014.org/program The abstracts are now available at http://www.frontiersin.org/events/Neuroinformatics_2014/2231 Early bird registration ends on July 25 (midnight, CET) Register at http://www.neuroinformatics2014.org/registration Watch the NI2014 promo video: http://www.youtube.com/watch?v=aEudq3SOwK0 We're looking forward to seeing you in August! -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

June 16, 2014

A new mechanism for linking some pieces of the cognitive brain puzzle

by Herbert Jaeger

Recipients of this mailing list may be interested to learn about a newly discovered neuro-computational mechanism. This mechanism, which I named "conceptors", suggests a common computational principle underneath phenomena as diverse as - incremental learning of dynamical patterns, - attentional focussing, - neural noise suppression, - morphing and modulating motor patterns, - learning pattern classes from a few prototype examples, - top-down bias control in hierarchical architectures, - Boolean combination of evidence in pattern classification. Conceptor-based algorithms are simple, cheap, and robust against noise and parameter variation. A number of fundamental neuro-computational problems become efficiently solved: - conceptors make it possible in the first place to govern a diversity of processing modes in a single recurrent neural network, - they enable incremental learning of temporal patterns with an option to quantify and monitor claimed neural memory capacity (coping with the catastrophic interference problem), - they lead to an auto-associative memory for dynamical patterns (a generalization of Hopfield networks to temporal patterns), - Boolean concept combinations and conceptual abstraction can be rigorously interpreted and implemented by the dynamics of recurrent neural networks (a robust solution for core parts of the neuro-symbolic integration problem). More information: 1. A video of a complex human motion sequence governed by a single RNN whose modes are governed by conceptors: http://youtu.be/DkS_Yw1ldD4 2. An informal introduction with many pictures (11 pages): http://arxiv.org/abs/1406.2671 3. A comprehensive technical report, including a link to Matlab code (195 pages): http://arxiv.org/abs/1403.3369 ------------------------------------------------------------------ Dr. Herbert Jaeger Professor for Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 Fax (+49) 421 200 49 3215 email h.jaeger(a)jacobs-university.de http://minds.jacobs-university.de ------------------------------------------------------------------

June 14, 2014

*Save the Date* The Many Faces of Computation July 14 & 15

by Santamaria, Cookie

THE MANY FACES OF COMPUTATION July 14-15, 2014 Urey Room 2102, Urey Hall Building UC San Diego, La Jolla, CA Organizers: Christian Van den Broeck and Katja Lindenberg MONDAY, JULY 14th 9-10 a.m. Welcome and light snacks 10-11 a.m. Christian Van den Broeck "A short introduction to large deviations" 11 a.m.-12 noon Raul Toral "Efficient sampling of phase space" 12 noon-2 p.m. Lunch break and discussion time 2-3 p.m. Alberto Imparato "Efficiency at maximum power in molecular motors" 3-4 p.m. Ilkay Altintas "Workflow-driven science" 4-5 p.m. Discussion time TUESDAY, JULY 15th 9-10 a.m. Welcome and light snacks 10-11 a.m. Emre Neftci "From VLSI spiking neurons to practical applications and cognition" 11 a.m.-12 noon Michael Gilson "Plumbing the depths of entropy and enthalphy in molecular recognition" 12 noon-2 p.m. Lunch break and discussion time 2-3 p.m. Daniel Escaff "Down from systems of infinite to finite numbers of elements: Computational aspects of the analysis of resultant fluctuations" 3-4 p.m. Tristan Webb "Utilizing purely functional parallel strategies for spiking neural network simulations" 4-5 p.m. Discussion time

June 13, 2014

Open postdoctoral position to study human episodic memories

by gabriel kreiman

We are seeking an exceptional postdoctoral researcher in Computational Neuroscience. The candidate will work on neurophysiological, cognitive, machine learning and computational approaches to understanding human episodic memories. The project will be part of a multidisciplinary effort with application to brain-machine interfaces working with Prof. Suthana, Prof. Mehta, Prof. Kreiman and Prof. Fried. Interested candidates should submit a CV and arrange for three letters of recommendation to be sent to gabriel.kreiman(a)tch.harvard.edu Position will be open until filled; send applications sooner rather than later if interested. For relevant work and publications, see http://www.physics.ucla.edu/~mayank/ http://klab.tch.harvard.edu/ http://www.cnl.ucla.edu/index.htm Gabriel Kreiman gabriel.kreiman(a)tch.harvard.edu klab.tch.harvard.edu -------------------------------------- Use code 9265358979 anywhere in the message to navigate through my anti-spam filters

June 13, 2014

PhD scholarship at Nanyang Technological University, Singapore

by Jay Zhang

PhD scholarships are available at the School of Computer Engineering ( http://www.ntu.edu.sg/SCE) Nanyang Technological University, Singapore, starting in August 2015. Areas of interest including but not limited to: Multi-Agents; Modeling & Simulation; Data Mining and Analytics; CAS Optimization; Computer Graphics, Machine Learning, and any other areas related to future factories. Required Qualifications: (1) Bachelor or Master’s degree in CS or a related discipline; (2) Excellent programming skills is an asset; (3) Excellent English writing and speaking skills. How to apply: Interested applicants please attach your full CV and transcripts to zhangj(a)ntu.edu.sg

June 12, 2014

Fwd: ADHDFund!

by Martijn Arns

Dear colleagues, I wanted to point your attention to the below new initiative, a crowd funding initiative for ADHD research. Martijn Arns Begin doorgestuurd bericht: Van: Sandra Kooij <s.kooij(a)psyq.nl<mailto:s.kooij@psyq.nl>> Onderwerp: ADHDFund! Datum: 12 juni 2014 10:55:46 CEST Aan: Undisclosed recipients:; Dear collegues, It is now time to pay attention to www.adhdfund.com<http://www.adhdfund.com/>! By the end of June, new slots for online research funding will be available. Why not yours??!! Submit your research now! ADHDFund connects patients and professionals for research on ADHD. You can put your online questionnaire here online, and/or ask for donations for your patient-oriented research proposal on video (crowdfunding). There are only two criteria to meet: quality and benefit for patients. The scientific board will check this beforehand. Please find the forms here: http://www.adhdfund.com/Research/Criteria#.U5VpjH8aySM ADHDFund started 2 months ago, so the 'CROWD' is still small. Therefore, it is wise not to ask for more than 5K at this time of development (it is required to get funded 100%, otherwise you receive nothing...). What after submission? With your study online, you will have to become active to ask your collegues, friends and patients to donate and support it, thereby increasing the CROWD of ADHDFund! ADHDFund will support all studies online by increasing awareness on ADHDFund and its aims:http://www.adhdfund.com/About/Research#.U5VqNn8aySMhttp://www.adhdfund… Ambassadors In order to build the international crowd, ADHDFund needs Ambassadors in every country to increase awareness through social and regular media. Can you help?? Please let me know!! Looking forward to your response and submissions, Yours, Sandra Kooij Chair ADHDFund Please take a look at www.adhdfund.com<http://www.adhdfund.com/> for the first international online crowdfund for research on ADHD!

June 12, 2014

Postdoc position, Computational neuroscience, Prague

by Lubomir Kostal

The Department of Computational Neuroscience, Institute of Physiology, Academy of Sciences of the Czech Republic, Prague, invites applications for a one-year postdoctoral position (with a possibility of extension) to a motivated person working in the field of theoretical neuroscience. The department is well internationally established, with stable high-quality publication output, international collaborations and organizational activities. The research is theory-based, experimental data are obtained either within national or international collaborations. A computer cluster for numerically intensive calculations is available. See the group www at: http://comput.biomed.cas.cz/ Requirements: Priority will be given to applicants from EU countries with focus on information theory, estimation theory or stochastic point processes. Hosting conditions: - salary: 31.000,- CZK (1200 EUR) base pay. Alternatively, the possibility to apply for a Marie-Curie Fellowship is open - subsidized accommodation in the institutional campus (serviced apartments, approx. 4.000 CZK/month rental) - starting date: January 2015 How to apply: Interested applicants should email the following material to Lubomir Kostal (kostal(a)biomed.cas.cz) 1) CV with research experience, list of publications, scientific and technical skills 2) description of research interests and motivation for the position 3) names of 2 scientists who can supply a letter of recommendation Deadline for applications: October 31, 2014 For more information on the position contact: Lubomir Kostal Institute of Physiology AS CR Dept. of Computational Neuroscience Videnska 1083 142 20 Prague 4 Czech Republic E-mail: kostal(a)biomed.cas.cz www: http://www.biomed.cas.cz/~kostal/

June 12, 2014

Cognitive Computation journal (Springer): Table of Contents, Vol.6, No.2 / June 2014 Issue

by Dr Amir Hussain

Dear Colleagues: (with advance apologies for any cross-postings) We are delighted to announce the publication of Volume 6, No.2 / June 2014 Issue, of Springer's Cognitive Computation journal - www.springer.com/12559 The individual list of published articles (Table of Contents) for this Issue can be viewed here (and also at the end of this message, followed by an overview of the previous Issues/Archive listings): http://link.springer.com/journal/12559/6/2/ You may also be interested in the journal's seminal Special Issue (Sep 2013 Issue): In Memory of John G Taylor: A Polymath Scholar, by Guest Editors: Vassilis Cutsuridis and Amir Hussain (the Guest Editorial is available here: http://link.springer.com/content/pdf/10.1007%2Fs12559-013-9226-z.pdf and full listing of articles can be found at: http://link.springer.com/journal/12559/5/3/page/1) A list of the journal's most downloaded articles (which can always be read for FREE) can be found here: http://www.springer.com/biomed/neuroscience/journal/12559?hideChart=1#realt… Other 'Online First' published articles not yet in a print issue can be viewed here: http://www.springerlink.com/content/121361/?Content+Status=Accepted All previous Volumes and Issues of the journal can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 ======================================================= NEW: ISI-SCI 5 year Impact Factor for Cognitive Computation: 1.137 ======================================================= As you will know, Cognitive Computation was selected for coverage in Thomson Reuter’s products and services in 2011. Beginning with V.1 (1) 2009, this publication is now indexed and abstracted in: ♦ Science Citation Index Expanded (also known as SciSearch®) ♦ Journal Citation Reports/Science Edition ♦ Current Contents®/Engineering Computing and Technology ♦ Neuroscience Citation Index® Cognitive Computation also received its first Impact Factor of 1.0 (Thomson Reuters Journal Citation Reports® 2011) in 2011 0.867(Thomson Reuters Journal Citation Reports® 2011) in 2012 ============================================ Reminder: New Cognitive Computation "LinkedIn" Group: ============================================ To further strengthen the bonds amongst the interdisciplinary audience of Cognitive Computation, we have set-up a "Cognitive Computation LinkedIn group", which has over 700 members already! We warmly invite you to join us at: http://www.linkedin.com/groups?gid=3155048 For further information on the journal and to sign up for electronic "Table of Contents alerts" please visit the Cognitive Computation homepage: http://www.springer.com/12559 or follow us on Twitter at: http://twitter.com/CognComput for the latest On-line First Issues. For any questions with regards to LinkedIn and/or Twitter, please contact Springer's Publishing Editor: Dr. Martijn Roelandse: martijn.roelandse(a)springer.com Finally, we would like to invite you to submit short or regular papers describing original research or timely review of important areas - our aim is to peer review all papers within approximately six-eight weeks of receipt. We also welcome relevant high quality proposals for Special Issues - four are already planned for 2014-15 (for CFPs, see: http://www.springer.com/biomed/neuroscience/journal/12559?detailsPage=press ) With our very best wishes to all aspiring readers and authors of Cognitive Computation, Professor Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation) E-mail: ahu(a)cs.stir.ac.uk (University of Stirling, Scotland, UK) Professor Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive Computation) (Imperial College, London, UK) http://www.springer.com/12559 Also consider your work for related Book Series: SpringerBriefs on Cognitive Computation: http://www.springer.com/series/10374 NEW: Springer Series on Socio-Affective Computing: http://www.springer.com/series/13199 --------------------------------------------------------------------------------------------------------------- Table of Contents Alert -- Cognitive Computation Vol 6 No 2, June 2014 --------------------------------------------------------------------------------------------------------------- Decoding Word Information from Spatiotemporal Activity of Sensory Neurons Kazuhisa Fujita , Yusuke Hara , Youichi Suzukawa & Yoshiki Kashimori http://bit.ly/UteVVm Yes and No: Match/Mismatch Function in Cognitive Robots Pentti O. A. Haikonen http://bit.ly/1oNarUn Shape Description and Recognition Method Inspired by the Primary Visual Cortex Hui Wei & Hu Li http://bit.ly/1oNay28 A Computational Model of Semantic Memory Categorization: Identification of a Concept’s Semantic Level from Feature Sharedness Ana Teresa Santos , J. Frederico Marques & Luís Correia http://bit.ly/1l0GTCH Displaying and Regulating Different Social Response Patterns: A Computational Agent Model Jan Treur http://bit.ly/1mH53xC Novel Two-Stage Audiovisual Speech Filtering in Noisy Environments Andrew Abel & Amir Hussain http://bit.ly/1oTN5KV Model-Based Human Gait Recognition Via Deterministic Learning Wei Zeng , Cong Wang & Yuanqing Li http://bit.ly/TJegOW A New Hand Image Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums Marcos Faundez-Zanuy , Jiri Mekyska & Xavier Font-Aragonès http://bit.ly/1hOk0SE Classification of Music-Induced Emotions Based on Information Fusion of Forehead Biosignals and Electrocardiogram Mohsen Naji , Mohammd Firoozabadi & Parviz Azadfallah http://bit.ly/1oNbjrU A Meta-Cognitive Learning Algorithm for an Extreme Learning Machine Classifier R. Savitha , S. Suresh & H. J. Kim http://bit.ly/Syy8Tv Fast Face Recognition Via Sparse Coding and Extreme Learning Machine Bo He , Dongxun Xu , Rui Nian , Mark van Heeswijk , Qi Yu , Yoan Miche & Amaury Lendasse http://bit.ly/1n5CWtb --------------------------------------------------- Previous Issues/Archive: Overview: --------------------------------------------------- All previous Volumes and Issues can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 Alternatively, the full listing of the Inaugural Vol. 1, No. 1 / March 2009, can be viewed here (which included invited authoritative reviews by leading researchers in their areas - including keynote papers from London University's John Taylor, Igor Aleksander and Stanford University's James McClelland, and invited papers from Ron Sun, Pentti Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and Tom Ziemke): http://www.springerlink.com/content/1866-9956/1/1/ The full listing of Vol. 1, No. 2 / June 2009, can be viewed here (which included invited reviews and original research contributions from leading researchers, including Rodney Douglas, Giacomo Indiveri, Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann Pulvermuller): http://www.springerlink.com/content/1866-9956/1/2/ The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/3/ The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/4/ The full listing of Vol.2, No. 1 / March 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/1/ The full listing of Vol.2, No. 2 / June 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/2/ The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/3/ The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/4/ The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on: Saliency, Attention, Active Visual Search and Picture Scanning, edited by John Taylor and Vassilis Cutsuridis), can be viewed here: http://www.springerlink.com/content/1866-9956/3/1/ The Guest Editorial can be viewed here: http://www.springerlink.com/content/hu2245056415633l/ The full listing of Vol.3, No.2 / June 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/2/ The full listing of Vol. 3, No. 3 / Sep 2011 (Special Issue on: Cognitive Behavioural Systems, Guest Edited by: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy), can be viewed here: http://www.springerlink.com/content/1866-9956/3/3/ The Guest Editorial for the special issue can be viewed here: http://www.springerlink.com/content/h4718567520t2h84/ The full listing of Vol. 3, No. 4 / Dec 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/4/ The full listing of Vol. 4, No.1 / Mar 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/1/ The full listing of Vol. 4, No.2 / June 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/2/ The full listing of Vol. 4, No.3 / Sep 2012 (Special Issue on: Computational Creativity, Intelligence and Autonomy, Edited by: J. Mark Bishop and Yasemin J. Erden) can be viewed here: http://www.springerlink.com/content/1866-9956/4/3/ The full listing of Vol. 4, No.4 / Dec 2012 (Special Issue titled: "Cognitive & Emotional Information Processing", Edited by: Stefano Squartini, Björn Schuller and Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/4/4/page/1 The full listing of Vol. 5, No.1 / March 2013 Special Issue titled: Computational Intelligence and Applications Guest Editors: Zhigang Zeng & Haibo He, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/1/page/1 The full listing of Vol. 5, No.2 / June 2013 Special Issue titled: Advances on Brain Inspired Computing, Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/2/page/1 The full listing of Vol. 5, No.3 / Sep 2013 Special Issue titled: In Memory of John G Taylor: A Polymath Scholar, Guest Editors: Vassilis Cutsuridis & Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/3/page/1 The full listing of Vol. 5, No.4 / Dec 2013, which includes regular papers (including an invited paper by Professor Ron Sun, Rensselaer Polytechnic Institute, USA, titled: Moral Judgment, Human Motivation, and Neural Networks), and a Special Issue titled: Advanced Cognitive Systems Based on Nonlinear Analysis. Guest Editors: Carlos M. Travieso and Jesús B. Alonso, can be viewed here: http://link.springer.com/journal/12559/5/4/page/1 The full listing of Vol. 6, No.1 / Mar 2014, can be viewed here: http://link.springer.com/journal/12559/6/1/page/1 -------------------------------------------------------------------------------------------- The University of Stirling is ranked in the top 50 in the world in The Times Higher Education 100 Under 50 table, which ranks the world's best 100 universities under 50 years old. The University of Stirling is a charity registered in Scotland, number SC 011159. -- The University of Stirling has been ranked in the top 12 of UK universities for graduate employment*. 94% of our 2012 graduates were in work and/or further study within six months of graduation. *The Telegraph The University of Stirling is a charity registered in Scotland, number SC 011159.

June 11, 2014

Graduate studies in comp.life.sci: comp.neuro, sys.bio, networks, appl.math, bioinf ... Jacobs University, Germany

by Jens Christian Claussen

Invitation for a NEW study program in Computational Life Science in Bremen, Germany Jacobs University Bremen, Germany, welcomes (late) applications (EU citizens or holders of visa for Germany or a EU country only) for the new graduate program (MSc and integrated PhD): http://www.jacobs-university.de/complife-graduate-program For best consideration, please do apply until June 15, latest mid-July, with the usual documents, and a letter/essay of motivation, and be prepared to select one research group for the first lab rotation, see the group pages: http://www.jacobs-university.de/comp-life-graduate-program/complife-groups with the research directions of the core faculty research areas: Computational Neuroscience Bioinformatics Medical Imaging Computational Systems Biology Theoretical Physics Ecological Modeling Mathematics Mathematical Modeling of Medical Processes If you already hold a Master of Science degree in a relevant discipline, and you apply for iPhD track only, please get also in touch with a group leader (in parallel to your application) as all PhD positions are funded within the groups. Applications for CompLife and for the current Computational Biology Branch of MoLife will be handled equivalently this year, so a double application is not necessary. The extended launch of the CompLife program will be for Fall 2015 - stay tuned! We offer reduced study fees for highly skilled applicants! In addition, there may be a small number of departmental stipends available (competitive, apply asap!). Jacobs University is a great international and renowned place for study and research. We warmly welcome applications from all countries (currently students are from 100+ countries)! Looking forward to your application! With best regards, Jens Christian Claussen -- PD Dr. Jens Christian Claussen j.claussen(a)jacobs-university.de Systems Biology Lab - Jacobs University Bremen +49-421-2003240 http://sysbio.jacobs-university.de/website/claussen http://jclaussen.user.jacobs-university.de/ http://webmail.inb.uni-luebeck.de/%7Eclaussen/ Networks, Physics, Socioeconomic Systems? http://www.dpg-physik.de/dpg/gliederung/fv/soe/index.html MSc in Computational Life Science? PhD in Systems Biology? Go here: http://www.jacobs-university.de/ses/complife

June 11, 2014

PhD position, computational neuroimaging, Dresden/Germany

by Stefan Kiebel

Dear all, Please find attached an advert for a PhD position. The position is ideal for someone who would like to work at the interface between computational modelling and neuroimaging experiments. With best wishes, Stefan Kiebel --------- The Department of Psychology, Institute of General Psychology, Biopsychology and Methods of Psychology, Chair of Neuroimaging (Prof. Dr. Stefan Kiebel) invites applications for a Member of academic staff / PhD student (E 13 TV-L) with 50 % of the fulltime weekly hours. The position will start (ideally) on 01.10.2014. The PhD position is initially limited for 3 years. A contract extension for a fourth year is possible. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The main research goal is the development and experimental testing of novel computational models of decision making. The computational models typically employ Bayesian inference and experiments are performed using fMRI and EEG. The Chair of Neuroimaging has full access to all experimental facilities at the Neuroimaging Center at the TU Dresden. The Neuroimaging Center is equipped with a research-only MRI scanner (Siemens 3T TIM Trio), MRI-compatible EEG and eye tracking, and a transcranial magnetic stimulation (TMS) unit. All experimental facilities are supported by experienced physics and IT staff. For computational work, the group has access to the TU Dresden high-performance computing clusters. The Chair of Neuroimaging will be newly established at the TU Dresden, and will move from the Max Planck Institute in Leipzig (http://www.cbs.mpg.de/depts/n-3/dyn/@@index.html) to Dresden. Tasks: The PhD student will work on a series of projects in the area of decision making using computational modelling of behavioural and neuroscientific data. Requirements: The candidate should have either (i) a university degree in psychology or cognitive neuroscience and a strong interest in computational modeling, or (ii) a university degree in mathematics, computational neuroscience, physics, or similar with a strong interest in performing neuroimaging experiments for testing computational models. The position is ideal for candidates interested in research at the interface between computational modeling and experimental neuroimaging. For questions or an informal discussion about this position please contact Prof. Stefan Kiebel (stefan.kiebel(a)tu-dresden.de) Applications from women are particularly welcome. The same applies to people with disabilities. Applicants should send their application documents (cover letter including a brief description of personal qualifications and future research interests, CV and contact details of two personal references) until 07.07.2014 (stamped arrival date of the university central mail service applies) - preferentially via e-mail as a single PDF-file - to julia.herdin(a)tudresden.de (Please note: We are currently not able to receive electronically signed and encrypted data.) or to TU Dresden, Fakultät Mathematik und Naturwissenschaften, Fachrichtung Psychologie, Institut für Allgemeine Psychologie, Biopsychologie und Methoden der Psychologie, Professur für Neuroimaging, Herrn Prof. Dr. Stefan Kiebel, 01062 Dresden. -- Stefan Kiebel, Ph.D. Professor of Neuroimaging Dept of Psychology Technical University Dresden, Germany Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany http://www.cbs.mpg.de/~kiebel

June 11, 2014

Posdoc job opening in Computational/Systems Neuroscience

by Chen, Zhe

Postdoctoral Fellow in Systems/Computational Neuroscience New York University School of Medicine New York, NY Applications are now being accepted for a postdoctoral fellow position to combine computational and experimental techniques to study the neural mechanism of attention of thalamus-neocortical circuits using a healthy or diseased rodent model. The applicant will work closely with Dr. Zhe (Sage) Chen and Dr. Mike Halassa at the New York University School of Medicine, with cross-disciplinary training in computational and systems (experimental) neuroscience, including rodent behavior and electrophysiology. The applicant will have great opportunities to interact with a large and growing neuroscience community at the NYU campus, including the Neuroscience Institute (http://neuroscience.med.nyu.edu<http://neuroscience.med.nyu.edu/>), Center for Neural Science (http://www.cns.nyu.edu<http://www.cns.nyu.edu/>), Department of Neuroscience & Physiology (http://neuro-physio.med.nyu.edu<http://neuro-physio.med.nyu.edu/>), and Department of Psychiatry (http://psych.med.nyu.edu<http://psych.med.nyu.edu/>). This position is available from September 2014, and will be funded for two years and renewable. Applications must have a PhD degree in Neuroscience, Engineering (Biomedical or Electrical), Statistics, Physics, or a related discipline. The desired applicant is expected to be highly motivated and work independently as well as cooperatively with other colleagues in the research projects. Ability to learn new techniques and resolve new research challenges is essential. Previous training in some areas, such as neural data analysis, computational neuronal modeling, computer programming (MATLAB/Python/C), neural interfaces, optogenetics, in vivo neural recordings at the system levels, is preferred. Research experience with rodent neural circuits is a plus. To apply, please send an email along with (i) curriculum vitate; (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two to three references to: Dr. Zhe (Sage) Chen (zhe.chen3(a)nyumc.org<mailto:zhe.chen3@nyumc.org>) or Dr. Mike Halassa (michael.halassa(a)nyumc.org<mailto:michael.halassa@nyumc.org>) with a subject line “Postdoc application”. ------------------------------------------------------------ This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email. =================================

June 10, 2014

Graduate studies in the neuroscience of spatial motion estimation and motor planning

by Andrea Green

Graduate studies in the neuroscience of spatial motion estimation and motor planning Département de Neurosciences, Université de Montréal Applications are invited for doctoral and postdoctoral studies in systems neuroscience in the laboratory of Dr. Andrea Green. The successful applicant will join a multidisciplinary research group studying how the brain integrates multisensory cues to create estimates of our spatial motion and how such estimates are used for perception and motor planning. Research in my laboratory involves computational models of the nervous system, behavioral and neural recording experiments in non-human primates as well as human behavioral studies. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and/or neurophysiological experiments, analyze data, develop theoretical models of neural systems, prepare manuscripts for publication, and participate in international conferences. While students with a strong background in biological sciences, engineering, mathematics, or computer science, are particularly encouraged to apply, all motivated students with an interest in understanding the brain will be considered. The successful applicant will receive a competitive salary in accordance with university guidelines. For further information, please contact Dr. Andrea Green (andrea.green(a)umontreal.ca) Applicants are asked to submit a curriculum vita, a transcript of previous studies, and the contact information for two references to: Dr. Andrea Green andrea.green(a)umontreal.ca Tel: 514-343-6111 x3301 Département de Neurosciences, Université de Montréal C.P 6128 Succursale Centre-Ville Montréal, QC H3C 3J7, CANADA Applications will be accepted until the positions are filled.

June 10, 2014

Reminder: Valentino Braitenberg Award for Computational Neuroscience - Call for Nominations

by Kerstin Schwarzwälder

Dear Colleagues, Please let me remind you that the Bernstein Association for Computational Neuroscience <http://www.nncn.de/en/bernstein-association> invites nominations for the *Valentino Braitenberg Award for Computational Neuroscience.* The award is biannually presented by the Bernstein Association to a scientist in recognition of outstanding research that contributes to our understanding of the functioning of the brain. The major criterion for the award is the impact or potential impact of the recipient's research on the field of brain science. In the spirit of Valentino Braitenberg's research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The crucial work should preferentially have been carried out in a European institution. The awardee receives a €5.000 prize donated by the Autonome Provinz Bozen Südtirol as well as complimentary participation (registration, travel, and hotel accomodation) in the Bernstein Conference 2014. Here, the prize is awarded together with a Golden Neuron pin badge in a special ceremony that includes the Valentino Braitenberg lecture given by the awardee. Nominations may be submitted by scientists working in the field of Computational Neuroscience and should include the following documents: * One-page laudation, in which the scientific work of the candidate is honored with regard to the award's criteria * CV and list of publications *Deadline for nominations is June 16, 2014* by e-mail to info(a)bcos.uni-freiburg.de The call for nominations can be found under the following URL: www.nncn.de/en/bernstein-association/valentino-braitenberg-award-for-comput… For inquiries please contact info(a)bcos.uni-freiburg.de Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Bernstein Coordination Site of the National Bernstein Network Computational Neuroscience Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg Germany phone: +49 761 203 9594 fax: +49 761 203 9585 schwarzwaelder(a)bcos.uni-freiburg.de www.nncn.de Twitter: NNCN_Germany <http://twitter.com/NNCN_Germany> YouTube: Bernstein TV <http://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany <https://www.facebook.com/BernsteinNetwork> LinkedIn: Bernstein Network Computational Neuroscience, Germany <http://www.linkedin.com/company/bernstein-network-computational-neuroscienc…>

June 10, 2014

Integrative Brain Function Workshop: Multi-modal approaches to understand brain functions

by Joseph Lizier

Dear All, Please find below details of the Integrative Brain Function Workshop: Multi-modal approaches to understand brain functions, to be held in Melbourne on Monday 30 June. Integrative Brain Function Workshop Multi-modal approaches to understand brain functions The goal of this workshop is to offer an opportunity for neuroscientists with various backgrounds to interact and exchange ideas. Specifically, we encourage participation of neuroscientists who are interested in understanding the neural systems at the perceptual and behavioural level and who try to combine multiple methodologies, such as electrophysiology, imaging, advanced signal processing and computational modelling. Date: Monday June 30, 2014. (from 9am) Deadline for abstracts: June 9 Location: Monash Biomedical Imaging facility, 770 Blackburn Rd, Clayton VIC, Australia. Keynote speaker: David Leopold from NIH/NIMH, USA Cortical circuits underlying social visual perception in the primate brain Speakers: Elizabeth Zavitz (Monash University) Population coding of motion direction in marmoset area MT is rapid and sustained Alex Fornito (Monash University) Mapping the context-dependent organization of large-scale brain networks with fMRI Farshad Mansouri (Monash University) The role frontal pole cortex (area 10) in cognitive flexibility and executive control Ben Fulcher (Monash University) Highly comparative time-series analysis for neuroscience Stefan Bode (University of Melbourne) The application of multivariate pattern classification analysis to fMRI and EEG data Spencer Chen (University of Sydney) Population correlations and spatial discrimination in area MT Dean Freestone (University of Melbourne) Estimation of Functional Dynamics using Data-Driven Mesoscopic Nerual Modeling Rory Townsend (University of Sydney) Detecting spatiotemporal dynamics in primate neural oscillations Joseph Lizier (CSIRO, Sydney) Local active information storage in distributed cortical information processing Steven Petrou (the Florey Institute of Neuroscience and Mental Health) Revealing pathological mechanisms in genetic epilepsy Enquiries please contact Nao Tsuchiya Click here to Register http://www.med.monash.edu.au/psych/research/activities/seminars.html -- ------------------------------------------------------------------------- Nao (Naotsugu) Tsuchiya, Ph.D. 1. Associate Professor School of Psychological Sciences Faculty of Medicine, Nursing and Health Sciences, Monash University 2. ARC Future Fellow homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage/Main.html

June 10, 2014

NEURAL COMPUTATION - July 1, 2014

by Terry Sejnowski

Neural Computation - Contents -- Volume 26, Number 7 - July 1, 2014 Available online for download now: http://www.mitpressjournals.org/toc/neco/26/7 ----- Article Motor Cortex Microcircuit Simulation Based on Brain Activity Mapping George L Chadderdon, Ashutosh Mohan, Benjamin A Suter, Samuel A Neymotin, Cliff C Kerr, Joseph T Francis, Gordon MG Shepherd, and William W Lytton Letters Discovering Functional Neuronal Connectivity From Serial Patterns in Spike Train Data Casey Diekman, Kohinoor Dasgupta, Vijay Nair, and K.P. Unnikrishnan Risk-sensitive Reinforcement Learning Yun Shen, Michael J. Tobia, Tobias Sommer, and Klaus Obermayer On Criticality in High-dimensional Data Saeed Saremi, Terrence J Sejnowski Spiking Neural P Systems With Thresholds Xiangxiang Zeng, Xingyi Zhang, Tao Song, and Linqiang Pan Balanced Crossmodal Excitation and Inhibition Essential for Maximizing Multisensory Gain Osamu Hoshino Universal Approximation Depth and Errors of Narrow Belief Networks With Discrete Units Guido Francisco Montufar Multiple Tests Based on a Gaussian Approximation of the Unitary Events Method With Delayed Coincidence Count Christine Tuleau-Malot, Amel Rouis, Franck Grammont, and Patricia Reynaud-Bouret Intrinsic Graph Structure Estimation Using Graph Laplacian Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, and Noboru Murata Causal Discovery via Reproducing Kernel Hilbert Space Embeddings Zhitang Chen, Kun Zhang, Laiwan Chan, and Bernhard Scholkopf ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2014 - VOLUME 26 - 12 ISSUES USA Others Electronic Only Student/Retired $70 $193 $65 Individual $124 $187 $115 Institution $1,035 $1,098 $926 Canada: Add 5% GST MIT Press Journals, 238 Main Street, Suite 500, Cambridge, MA 02142-9902 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-orders(a)mit.edu ------------

June 9, 2014

Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships)

by Etienne B. Roesch

Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships) The goal of the project is to develop novel methods for the joint analysis of signals from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), when they are obtained concurrently. Technological advances of the last 10 years make it possible for scientists to record both modalities concurrently, in what is now known as coupled EEG-fMRI. By simultaneously recording these two modalities, scientists can potentially say where and when neural activity is occurring, whereas previously researchers had to settle for one or the other. This engineering feat, however, has not yet been met with the ability to make use of the combination of these signals to infer more knowledge than would otherwise be gathered in separate experiments. Filling this gap is the ambition of the present project. This is a method project, which requires skills and knowledge in neuroscience, applied mathematics/statistics/physics and programming. Candidates who have a strong background in at least two of these three fields are encouraged to apply, if they are enthusiastic about the third. Two full studentships are available, and we expect to appoint one candidate who is stronger in empirical work and a second who is stronger in analytics. Candidates are expected to have had some prior exposure to at least one of the two modalities, but will receive training in both. The two students will be supervised by Dr. Etienne Roesch and receive support from Dr. Michael Lindner and Prof. Tom Johnstone, with R&D support from Brain Products, one of the world’s leading manufacturers of MRI-compatible EEG systems. The group led by Dr. Roesch fosters interdisciplinary thinking, and students will have the opportunity to engage in ongoing empirical and modelling work related to perception and action. The Centre for Integrative Neuroscience and Neurodynamics (CINN) is host to a research-dedicated 3T Siemens TRIO, with a full license for sequence development, and a full suite of MR-compatible systems. Additionally, the students will be granted access to the cluster of NVIDIA Tesla GPUs and other facilities at CINN, as well as at the Brain Embodiments Laboratory, in the School of Systems Engineering. The University of Reading is ranked as one of the UK’s 20 most research-intensive universities and as one of the top 200 universities in the world (Times Higher Education 2013). Our campus was voted first in the Times Higher Education Student Experience survey and has a Green Flag Award. It is situated 25 minutes West of London. Reading University Students’ Union was voted the 6th best in the UK (National Student Survey 2012). Essentials: Commitment to academic research and personal development; Ability to work collaboratively; Effective interpersonal and communication skills, including writing to a high standard, document preparation for technical notes and journal papers; Experience of work in interdisciplinary settings; Attention to details. Desirables: Self-guided work in developing statistical designs and approaches in research; Creative approach to problem solving; Ability to work independently; Experience in giving presentations and conveying complex ideas clearly. Eligibility: Applicants should hold a minimum of a UK Honours Degree at 2:1 level or equivalent in a relevant subject. Please note that due to restrictions on the funding this studentship is for UK/EU applicants only. Funding Details: Studentship will cover Home/EU Fees, pay the Research Council minimum stipend (£13,863 in 2014/15) for up to 3 years and include funding for international conferences. How to apply: To apply for this studentship please submit an application for a PhD in Cybernetics (full time) to the University – see http://www.reading.ac.uk/Study/apply/pg-applicationform.aspx . In the section ‘Research proposal’, please upload or copy-paste your covering letter. When prompted as part of your online application, you should provide details of the funding you are applying for, quoting the reference GS14-68. Once you have submitted your application, you should receive an email to confirm receipt of your online application. Please forward this email, along with your covering letter and CV (as pdf), to Dr. Etienne B. Roesch, e.b.roesch(a)reading.ac.uk, by the application deadline. Application Deadline: Monday 14th July 2014 (interviews in August) Further Enquiries: Please contact Dr. Etienne B. Roesch, e.b.roesch(a)reading.ac.uk. ––– Dr. Etienne B. Roesch Lecturer (Assistant Professor) in Cognitive Science University of Reading, UK http://doodle.com/MeetWithEtienne Too brief of an email? Here's why! http://emailcharter.org

June 7, 2014

an emerging neural theory of grid and place cell development: and navigation: modules, spiking dynamics, cholinergic inactivation, oscillations, and attention

by Stephen Grossberg

The following articles summarize an emerging neural theory of how grid and place cells develop neurophysiological properties that support navigational behaviors, including properties of modular organization, spiking dynamics, effects of cholinergic inactivation, oscillations, and attention. ******************************************************************************************************************************************************************************** Grossberg, S., and Pilly, P. K. (2014). Coordinated learning of grid cell and place cell spatial and temporal properties: multiple scales, attention, and oscillations. Philosophical Transactions of the Royal Society B., 369, 20120524, http://rstb.royalsocietypublishing.org/content/369/1635/20120524.full.pdf+h… Abstract. A neural model proposes how entorhinal grid cells and hippocampal place cells may develop as spatial categories in a hierarchy of self-organizing maps. The model responds to realistic rat navigational trajectories by learning both grid cells with hexagonal grid firing fields of multiple spatial scales, and place cells with one or more firing fields, that match neurophysiological data about their development in juvenile rats. Both grid and place cells can develop by detecting, learning, and remembering the most frequent and energetic co-occurrences of their inputs. The model’s parsimonious properties include: Similar ring attractor mechanisms process linear and angular path integration inputs that drive map learning; the same self-organizing map mechanisms can learn grid cell and place cell receptive fields; and the learning of the dorsoventral organization of multiple spatial scale modules through medial entorhinal cortex to hippocampus may use mechanisms homologous to those for temporal learning through lateral entorhinal cortex to hippocampus (“neural relativity”). The model clarifies how top-down hippocampus-to-entorhinal attentional mechanisms may stabilize map learning, simulates how hippocampal inactivation may disrupt grid cells, and explains data about theta, beta, and gamma oscillations. The article also compares the three main types of grid cell models in light of recent data. **************************************************************************************************************** Pilly, P.K., and Grossberg, S. (2013). Spiking neurons in a hierarchical self-organizing map model can learn to develop spatial and temporal properties of entorhinal grid cells and hippocampal place cells. PLOS ONE, http://dx.plos.org/10.1371/journal.pone.0060599 Abstract. Medial entorhinal grid cells and hippocampal place cells provide neural correlates of spatial representation in the brain. A place cell typically fires whenever an animal is present in one or more spatial regions, or places, of an environment. A grid cell typically fires in multiple spatial regions that form a regular hexagonal grid structure extending throughout the environment. Different grid and place cells prefer spatially offset regions, with their firing fields increasing in size along the dorsoventral axes of the medial entorhinal cortex and hippocampus. The spacing between neighboring fields for a grid cell also increases along the dorsoventral axis. This article presents a neural model whose spiking neurons operate in a hierarchy of self-organizing maps, each obeying the same laws. This spiking GridPlaceMap model simulates how grid cells and place cells may develop. It responds to realistic rat navigational trajectories by learning grid cells with hexagonal grid firing fields of multiple spatial scales and place cells with one or more firing fields that match neurophysiological data about these cells and their development in juvenile rats. The place cells represent much larger spaces than the grid cells, which enable them to support navigational behaviors. Both self-organizing maps amplify and learn to categorize the most frequent and energetic co-occurrences of their inputs. The current results build upon a previous rate-based model of grid and place cell learning, and thus illustrate a general method for converting rate-based adaptive neural models, without the loss of any of their analog properties, into models whose cells obey spiking dynamics. New properties of the spiking GridPlaceMap model include the appearance of theta band modulation. The spiking model also opens a path for implementation in brain-emulating nanochips comprised of networks of noisy spiking neurons with multiple-level adaptive weights for controlling autonomous adaptive robots capable of spatial navigation. ******************************************************************************************************************************************************************************** Pilly, P.K., and Grossberg, S. (2014) How does the modular organization of entorhinal grid cells develop? Frontiers in Human Neuroscience, doi:10.3389/fnhum.2014.0037, http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00337/full Abstract. The entorhinal-hippocampal system plays a crucial role in spatial cognition and navigation. Since the discovery of grid cells in layer II of medial entorhinal cortex (MEC), several types of models have been proposed to explain their development and operation; namely, continuous attractor network models, oscillatory interference models, and self-organizing map (SOM) models. Recent experiments revealing the in vivo intracellular signatures of grid cells (Domnisoru et al., 2013; Schmidt-Heiber and Hausser, 2013), the primarily inhibitory recurrent connectivity of grid cells (Couey et al., 2013; Pastoll et al., 2013), and the topographic organization of grid cells within anatomically overlapping modules of multiple spatial scales along the dorsoventral axis of MEC (Stensola et al., 2012) provide strong constraints and challenges to existing grid cell models. This article provides a computational explanation for how MEC cells can emerge through learning with grid cell properties in modular structures. Within this SOM model, grid cells with different rates of temporal integration learn modular properties with different spatial scales. Model grid cells learn in response to inputs from multiple scales of directionally-selective stripe cells (Krupic et al., 2012; Mhatre et al., 2012) that perform path integration of the linear velocities that are experienced during navigation. Slower rates of grid cell temporal integration support learned associations with stripe cells of larger scales. The explanatory and predictive capabilities of the three types of grid cell models are comparatively analyzed in light of recent data to illustrate how the SOM model overcomes problems that other types of models have not yet handled. ********************************************************************************************************************************************************** Pilly, P.K., and Grossberg, S. (2013). How reduction of theta rhythm by medial septum inactivation may covary with disruption of entorhinal grid cell responses due to reduced cholinergic transmission. Frontiers in Neural Circuits, doi: 10.3389/fncir.2013.00173, http://www.frontiersin.org/Journal/10.3389/fncir.2013.00173/full?utm_source… Abstract. Oscillations in the coordinated firing of brain neurons have been proposed to play important roles in perception, cognition, attention, learning, navigation, and sensory-motor control. The network theta rhythm has been associated with properties of spatial navigation, as has the firing of entorhinal grid cells and hippocampal place cells. Two recent studies reduced the theta rhythm by inactivating the medial septum (MS) and demonstrated a correlated reduction in the characteristic hexagonal spatial firing patterns of grid cells. These results, along with properties of intrinsic membrane potential oscillations (MPOs) in slice preparations of medial entorhinal cortex (MEC), have been interpreted to support oscillatory interference models of grid cell firing. The current article shows that an alternative self-organizing map (SOM) model of grid cells can explain these data about intrinsic and network oscillations without invoking oscillatory interference. In particular, the adverse effects of MS inactivation on grid cells can be understood in terms of how the concomitant reduction in cholinergic inputs may increase the conductances of leak potassium (K+) and slow and medium after-hyperpolarization (sAHP and mAHP) channels. This alternative model can also explain data that are problematic for oscillatory interference models, including how knockout of the HCN1 gene in mice, which flattens the dorsoventral gradient in MPO frequency and resonance frequency, does not affect the development of the grid cell dorsoventral gradient of spatial scales, and how hexagonal grid firing fields in bats can occur even in the absence of theta band modulation. These results demonstrate how models of grid cell self-organization can provide new insights into the relationship between brain learning and oscillatory dynamics. ********************************************************************************************************************************************************************************* Stephen Grossberg Wang Professor of Cognitive and Neural Systems Professor of Mathematics, Psychology, and Biomedical Engineering Director, Center for Adaptive Systems http://cns.bu.edu/~steve steve(a)bu.edu

June 6, 2014

ECML Workshop - “Neural Connectomics: From Imaging to Connectivity”

by Demian Battaglia

ECML Workshop - “Neural Connectomics: From Imaging to Connectivity” September 15, 2014 - Nancy, France Paper submission deadline: June 20, 2014 Description: Systematic extraction of connectivity information is gaining growing importance for the understanding of the general functioning of the brain and its learning capabilities, as well as for designing biomarkers for diagnosis, prediction and prevention in neuropathologies. At the neural level, recovering the exact wiring of the brain (connectome) including nearly 100 billion neurons, having on average 7000 synaptic connections to other neurons, is a daunting task. The goal of this workshop is to bring together researchers in machine learning and neuroscience to discuss progress and remaining challenges in this exciting and rapidly evolving field. We aim to attract machine learning and computer vision specialists interested in learning about a new problem, as well as computational neuroscientists who may be interested in modeling connectivity data. We will discuss also the results of the First ChaLearn Neural Connectomics Challenge, who attracted over 100 participants, many of them advancing considerably the state-of-the-art. Topics of interest to the workshop include, but are not limited to: • building connectomes from EM data • building connectomes from fMRI data • building connectomes from neurophysiology data • bridging neuroanatomy and neurophysiology • connectomics and learning • neuroimaging technology advances • network reconstruction algorithms • causality in time series • feature selection vs. causal discovery • generative vs. discriminative modeling • sharing data • sharing code • organizing new challenges • establishing ground truth, benchmarking • quantitative metrics of evaluation • theoretical understanding Important dates: o Paper submission: June 20, 2014 o Notification of acceptance: July 05, 2014 o Camera-ready: July 25, 2014 o ECML Workshop: September 15, 2014 Important - Submission Guidelines: We encourage contributions in any of these areas. We welcome 2-page short-form submissions and 6-page long-form submissions. Submissions should be formatted using JMLR Workshop and Proceedings format, style files for which are available at: http://www.tex.ac.uk/tex-archive/help/Catalogue/entries/jmlr.html. We also encourage submissions of previously-published material that is closely related to the workshop topic (for presentation only). Everybody can attend the workshop even if he does not participate in the challenge (http://connectomics.chalearn.org/) Challenge participants are encouraged to contribute a paper on their results and also submit papers for presentation on the topics of the workshop. The papers have to be submitted via Easy Chair: https://www.easychair.org/conferences/?conf=ncw2014

June 6, 2014

REMINDER: Two PhD Positions and one Postdoc Position in Machine Learning / Sensory Data Processing

by Jörg Lücke

Dear researchers, There is a bit more than one week left until the deadline for the positions. If you have already applied, please see the end of this e-mail for more details on the required application documents. The given information is in response to some questions we got. Best wishes, Jörg Lücke On 28.04.2014 11:54, Jörg Lücke wrote: > The Machine Learning research group at the University of Oldenburg is > seeking to fill > > Two PhD Research Positions and one (postdoctoral) Research Associate > Position > > All positions are part of the Machine Learning group which develops > learning and inference technology for sensory data. We pursue basic > research, develop new technology, and apply our approaches to > different tasks. Our research hereby combines modern probabilistic > data descriptions, modern computer technology and insights from the > neurosciences. We contribute to the improvement of current methods for > computer hearing, pattern recognition and computer vision as well as > to the understanding of biological and artificial intelligence. > Research will be conducted in close collaboration with leading > international and national research labs. Our research field can be > considered as part of the Data Sciences, Computational Sciences, or > Big Data approaches (to name some terms recently used in the media). > > Salary levels of the positions are based on the TV-L scale of the > German public sector (Öffentlicher Dienst). After the deduction of > health insurance, pension tax and other taxes, the salary for the PhD > positions amounts to approximately 1600 EUR per month, and to about > 2000 EUR per month for the (postdoctoral) Research Associate Position. > Depending on the experience of the candidates, the salary can be > higher. But please note that the only definite sources for all > information on the positions including salary, job description and > application/selection procedure are the central websites of the > University of Oldenburg. > > For the PhD positions see: > http://www.uni-oldenburg.de/stellen/?stelle=63323 > For the postdoc position see: > http://www.uni-oldenburg.de/stellen/?stelle=63322 > > Depending on the skills and interests of the candidates, the research > focus will be on the development of new probabilistic learning > algorithms and/or their applications to high-dimensional sensory data. > Projects can emphasize basic research for general purpose learning and > pattern recognition, or applications of algorithms to specific tasks. > > Candidates for the PhD positions have to hold a Master degree in > Physics, Computer Science, Mathematics or a closely related subject > (at the latest at the time when the contract is signed). > Analytical/mathematical skills and programming skills (e.g. python, > matlab, C++) are required for all candidates. Experiences with Machine > Learning algorithms are desirable. Experiences with acoustic data, > other types of sensory data, and an interest in the neurosciences are > a plus but are not strictly required. > > The candidates for the (postdoctoral) Research Associate position have > to hold a Master degree or (preferably) a PhD/Doctoral degree in > Physics, Computer Science, Mathematics or a closely related subject > (alternatively, a statement can be provided that a PhD/Doctoral degree > will be issued when the position is taken or shortly thereafter). > Analytical/mathematical skills, programming skills, and experience > with Machine Learning algorithms are required. Experiences with > acoustic data, other types of sensory data, and an interest in the > neurosciences are a plus but are not strictly required. The > (postdoctoral) Research Associate position is suitable for part-time > work. > > All positions can be filled immediately and are available for > initially two years with an option for extension. > > The appointed researchers will be part of a very new working > environment. The research group is currently established through a > strategic investment into Machine Learning technology at Oldenburg. > The group is located in a new building, and the Cluster of Excellence > Hearing4all is part of the German Excellence Initiative which funds > top-tier research in Germany. The cluster comprises many > interdisciplinary research groups that are currently set up or that > are extended. As a consequence, many new PhD, postdoc and faculty > positions allow for interesting collaboration opportunities and > provide an attractive scientific and social environment. The city of > Oldenburg is one of Germany's cities with the highest rated living > quality, it is close to the North See and near to the cities of Bremen > and Hamburg. > > For more information about the Machine Learning research group visit: > http://www.uni-oldenburg.de/ml/ > > For more information about the Cluster of Excellence Hearing4all > visit: http://hearing4all.eu/EN/ > > The University of Oldenburg is dedicated to increasing the percentage > of women in science. Therefore, female candidates are particularly > encouraged to apply. According to § 21 III NHG (legislation governing > Higher Education in Lower Saxony) preference will be given to female > candidates in cases of equal qualification. > > Handicapped applicants will be given preference if equally qualified. > > Please send your application including the usual documents (including > contact details for reference letters) preferably electronically (PDF) > to Jörg Lücke <joerg.luecke(a)uni-oldenburg.de> or per mail to: Carl von > Ossietzky Universität Oldenburg, Fakultät VI, Machine Learning, z.Hd. > Frau Jennifer Köllner, 26111 Oldenburg, Germany. Please use “Research > Position (PhD)” as subject line for applications to the PhD positions, > and “Research Associate Position (postdoc)” for applications to the > (postdoctoral) Research Associate position. > > The application deadline is 15 June 2014. Applications received after > this date are not guaranteed to enter the selection process. > > > MORE INFORMATION ON APPLICATION DOCUMENTS Note that detailed reviewing of the applications will start immediately after the deadline of June 15. We got some request asking for more information about application documents. Please be advised that the usual application documents include: - a scientific CV with education details including universities visited, degrees taken, final mark/rank (other skills, special courses and other interests are usually part of the CV) - if applicable (mainly postdoc applicants), a list of publications (can be part of the CV) - contact details of at least two researchers who can provide reference letters (you can also send the letters, or send one letter and one other reference) - scans of the original university degrees and translations to English if possible (unless they are in German) Some applicants also do provide a short research statement / statement of interest which can also be part of the cover letter or e-mail. It would also be interesting for us if you state when you could potentially start the position. If you have not provided all the documents stated above, please do provide them in time for the deadline of the position (15 June 2014). Please send an e-mail to Frau Jennifer Köllner <jennifer.koellner(a)uni-oldenburg.de> with subject line “Research Position (PhD) - additional documents” or “Research Position (postdoc) - additional documents” -- Jörg Lücke (PhD) Associate Professor Machine Learning Lab and Cluster of Excellence Hearing4all Department of Medical Physics and Acoustics School of Medicine and Health Sciences University of Oldenburg 26111 Oldenburg Germany www.uni-oldenburg.de/ml

June 6, 2014

PhD and Post-doctoral opportunities in machine learning and neuroscience.

by Artur Luczak

We seek highly motivated individuals with strong computational backgrounds to work at the interface of machine learning and neuroscience. We have extensive data sets recorded with state-of-the-art optical and electrophysiological methods, spanning normal and abnormal brain function in several experimental preparations. Recent developments in unsupervised machine learning (e.g. deep neural networks) now enable discovery of high-level features of such complex data sets, and provide an opportunity for breakthroughs in understanding brain function. Conversely, many of the most influential ideas in artificial neural networks have been inspired by biological networks. We therefore also endeavor to implement computational elements revealed by recent experimental findings in order to endow artificial neural networks with more brain-like capabilities. Candidates should have a strong interest in understanding how the brain works, and expertise in computational science. Prior experience with deep learning algorithms is preferred but not required. Successful candidates will join the highly collaborative and interdisciplinary Brain Dynamics group (http://lethbridgebraindynamics.com/ ), which has outstanding research strengths in the areas of learning and memory, decision making, information coding and related diseases such as Alzheimer's, schizophrenia, addiction and stroke. Funding is available through our departmental NSERC CREATE grant in Biological Information Processing, which provides a competitive stipend and unique training opportunities in quantitative sciences and entrepreneurship. Lethbridge is a small city located two hours from Calgary, 90 minutes from the Canadian Rockies, and has a sunny and dry climate. For more information please contact Dr. Aaron Gruber <aaron.gruber(a)uleth.ca> or Dr. Artur Luczak <luczak(a)uleth.ca> Canadian Centre for Behavioural Neuroscience Department of Neuroscience, University of Lethbridge 4401 University Drive, Lethbridge, AB, T1K 3M4, Canada http://lethbridgebraindynamics.com/ http://lethbridgebraindynamics.com/artur_luczak http://lethbridgebraindynamics.com/aaron_gruber

June 5, 2014

v5.7 of NeuroMorpho.Org released on 30 May, 2014

by NeuroMorpho Administrator

Version 5.7 of NeuroMorpho.Org was released on 30 May, 2014. The release included 29 new data sets (1341 reconstructions), including from three new animal species (dragonfly, moth, and sheep). The database now contains 11,335 reconstructions from 144 contributing labs. More than 3.2 million reconstructions were downloaded in over 130,000 unique visits from 146 countries. Please visit the What's new<http://neuromorpho.org/neuroMorpho/WIN.jsp> page for details on data included in this release, including new species strains, brain regions, cell types, and experimental conditions. The Acknowledgements <http://neuromorpho.org/neuroMorpho/acknowl.jsp> include details on contributing labs, and the About<http://neuromorpho.org/neuroMorpho/about.jsp> page provides an updated overview of the repository content. A new user-friendly functionality, OntoSearch<http://neuromorpho.org/neuroMorpho/OntoSearch.jsp>, was introduced in this release, enabling more powerful searches of species and strains with automated synonym translation, taxonomical relations, and keyword auto-completion. The literature coverage database was also updated to include publications through March 2014. We are continuously grateful to all the data owners who freely share their data with the community. We always appreciate any and all feedback and comments. Sincerely, The NeuroMorpho.Org team -- Ruchi Parekh, Ph.D. NeuroMorpho.Org Project Lead Postdoctoral Research Fellow Center for Neural Informatics, Structures, and Plasticity Krasnow Institute for Advanced Study MS2A1, George Mason University Fairfax, VA 22030 (USA) Ph - +1-703-993-4382<tel:%2B1-703-993-4382> www.neuromorpho.org<http://www.neuromorpho.org/> nmadmin(a)gmu.edu<mailto:nmadmin@gmu.edu>?

June 5, 2014

POSTDOC in SPINAL CORD INJURY IMAGING AND MODELING

by Andre Longtin

We seek a postdoctoral candidate to work on MRI image analysis and modeling of spinal cord injury. The candidate would be put forth for the Rick Hansen Fellowship described below. The successful translation of spinal cord repair therapies from animal models to the clinic requires an improved understanding of the injured motor and sensory tracts in humans. While histological tract tracing in animals can delineate the specific injured tracts and allow for therapy evaluation, these tracing methods cannot be applied to patients. Conventional magnetic resonance imaging (MRI) techniques allow spinal cord injury to be imaged; however they do not permit clinicians to reliably determine motor or sensory function. This limitation is due to the fact that conventional MRI imaging results are known to have poor correlation patient motor or sensory tract injury. Our objective is to develop an MRI technique that utilizes techniques such as diffusion tensor imaging (DTI), tractography and functional MRI imaging techniques as a biomarker. This will permit more detailed imaging of the spinal cord and allow improved correlation with neurological function. These improved imaging techniques can then be developed to improve correlation with patient clinical function which can then be used to improve the development and selection of successful therapeutic repair strategies in humans with spinal cord injury. The research consists in developing MRI imaging techniques such as DTI, tractography and functional MRI measures as a stand alone or complementary biomarker that correlates with specific motor or sensory tract function in humans. A large DTI dataset has been compiled from a variety of human spinal cord lesions. The candidate will quantify the level of damage and relate it through modeling and statistical analysis to the observed clinical scores. The DTI and tractography analyses will then be optimized to produce a strong biomarker. The candidate must hold a PhD degree in a relevant field, and will be co-supervised by a team of three investigators: Eve Tsai, a spinal cord neurosurgeon at the Ottawa Hospital Research Institute and University of Ottawa Faculty of Medicine; Andre Longtin, Physics and Medicine, University of Ottawa, a specialist in neural modeling, and Ian Cameron, a senior MRI medical physicist at the OHRI and University of Ottawa. Ideally the candidate would be able to start as soon as possible after receipt of a positive answer (typically within a month or two of being nominated), and no later than December 1st 2014. Applications consisting of a CV should be submitted to alongtin(a)uottawa.ca<mailto:alongtin@uottawa.ca> before June 25 2014 in time for submission of the file of the selected candidate to the Rick Hansen Institute. RICK HANSEN INSTITUTE POSTDOCTORAL FELLOWSHIP INTRODUCTION The Rick Hansen Institute is a Canadian-based not-for-profit organization committed to accelerating the translation of discoveries and best practices into improved treatments for people with spinal cord injuries. Their mission is to lead collaboration across the global SCI community by providing resources, infrastructure and knowledge, and to identify, develop, validate and accelerate the translation of evidence and best practices to reduce the incidence and severity of paralysis after SCI, improve health care outcomes, reduce long-term costs, and improve the quality of life for those living with SCI. PURPOSE OF FUND Award a fellowship to a postdoctoral fellow at the Faculty of Medicine whose research is primarily focused on knowledge transfer and/or implementation sciences related to spinal cord injury (SCI). The recipient would have an opportunity to participate in the various knowledge transfer-related projects currently funded by the Rick Hansen Institute and its SCI partners. FELLOWSHIP DETAILS Eligibility Criteria The applicant must: 1. be a Canadian citizen, a permanent resident, a person with the protected/refugee status, or an international student ; 2. intend to register as a postdoctoral fellow in the Faculty of Medicine of the University of Ottawa 3. be within 4 years of completing a PhD in knowledge transfer, implementation science, spinal cord injury or a related field; and 4. propose a program of research that is primarily focused on knowledge transfer and/or implementation sciences related to spinal cord injury (SCI). Note: The awarding of the fellowship is conditional to the recipient’s registration as a postdoctoral fellow at the Faculty of Medicine, through the Faculty of Graduate and Postdoctoral Studies (as per the FGPS policy on postdoctoral appointments - http://www.grad.uottawa.ca/Default.aspx?tabid=1412) Value of the fellowship: $75,000 CAN per year Number of fellowships: 1 Frequency of awarding: For one year, with possibility of renewal for a second year Level or program of study: Postdoctoral Application contact: Graduate Studies Office, Faculty of Medicine Application deadline: June 30, 2014

June 5, 2014

Call For Participation to our upcoming Research Topic: Real-world unisensory and multisensory processing

by Jason Sherwin

Dear Colleagues, It is with great pleasure that I invite you to contribute to a Special Issue for Frontiers. The topic description can be found on its homepage via the link below. We look forward to your boundary-pushing contributions in this exciting area of psychology, neuroscience and other related disciplines. In collaboration with Frontiers in Psychology, section Perception Science, we are organizing a Research Topic titled "Real-world unisensory and multisensory processing: Perceptual and neural mechanisms in complex natural scene processing”, hosted by Jason Sherwin, Jeremy Gaston, Kelvin Oie. As host editor, I would like to encourage you to contribute to this topic. Frontiers, a Swiss open-access publisher, recently partnered with Nature Publishing Group to expand its researcher-driven Open Science platform. Frontiers articles are rigorously peer-reviewed, can be disseminated freely and are widely read by your colleagues and by the broader scientific and medical research communities. The idea behind a research topic is to create an organized, comprehensive collection of several contributions, as well as a forum for discussion and debate. Contributions can be articles describing original research, methods, hypothesis & theory, opinions, etc. We have created a homepage on the Frontiers website (Frontiers in Psychology, section Perception Science) where all articles will appear after peer-review and where participants in the topic will be able to hold relevant discussions: http://www.frontiersin.org/Perception_Science/researchtopics/Real-world_uni…. Frontiers will also compile an e-book, as soon as all contributing articles are published, that can be used in classes, be sent to foundations that fund your research, to journalists and press agencies, or to any number of other organizations. Among others, we have contacted the following authors: Bruno Lucio Giordano David C Jangraw : author Edward A Vessel : author Daniel P Ferris : author Bill Geisler Peter Gerhardstein Giulio Tononi : author Uri Hasson : author Jacek Dmochowski : author Joel Snyder Jordan Muraskin : author Tzyy-Ping Jung : author Klaus Gramman : author Linbi Hong : author Andreas Lozano : author As such, a manuscript accepted for publication incurs a publishing fee, which varies depending on the article type. Research Topic manuscripts receive a significant discount on publishing fees. Please take a look at this fee table: http://www.frontiersin.org/about/PublishingFees. Once published, your articles will remain free to access for all readers, and will be indexed in PubMed and other academic archives. As an author in Frontiers, you retain the copyright to your own papers and figures. I would be delighted if you considered participating in this Research Topic. Should you choose to participate, please confirm by sending me a quick email and then your abstract no later than Jun 27, 2014 using the following link: http://www.frontiersin.org/submissioninfo Please note that the deadline for manuscript submission is on: Dec 19, 2014 Since I am using the Frontiers system to manage this topic, I would really appreciate if you could also please indicate your decision by clicking on one of the links below. AGREE to Participate http://www.frontiersin.org/AcceptContributor.aspx?activationkey=8c7388de-dd… DECLINE to Participate http://www.frontiersin.org/DeclineContributor.aspx?activationkey=8c7388de-d… With best regards, Jason Sherwin Guest Associate Editor, Frontiers in Perception Science www.frontiersin.org Jason Sherwin, Ph.D. Columbia University Department of Biomedical Engineering Laboratory for Intelligent Imaging and Neural Computing 530 West 120th Street, Mail Code: 8904 New York, NY 10027 Phone: +1 - 212 - 854 - 8997 Email: jason.sherwin(a)columbia.edu Managing Editor, IEEE Transactions on Neural Systems and Rehabilitation Engineering Email: managertnsre(a)gmail.com http://tnsre.bme.columbia.edu

June 5, 2014

BCF/NWG course "Analysis and Models in Neurophysiology" 2014 at the Bernstein Center Freiburg, Germany

by Birgit Ahrens

BCF/NWG-Course "Analysis and Models in Neurophysiology" /Sunday, October 5 - Friday, October 10, 2014 / /Bernstein Center Freiburg, Hansastraße 9a, 79104 Freiburg, Germany/ *Aim of the course:* The course is intended to provide advanced Diploma/Masters and PhD students, as well as young researchers from the neurosciences with approaches for the analysis of electrophysiological data and the theoretical concepts behind them. *The course includes various topics such as*: * Neuron Models and Point Processes (Prof. Stefan Rotter) * Local field potentials (Prof. Ulrich Egert) * Neural Coding (Dr. Robert Schmidt) * Neural Decoding (Prof. Carsten Mehring) The course will consist of lectures in the morning and and matching exercises using Matlab, Mathematica and Python in the afternoon. Experience with these software packages will be helpful but is not required for registration. The participants should have a basic understanding of scientific programming. This course is designated especially for advanced diploma/master-students and PhD-students (preferentially in their first year). *Application:* Please apply by sending one pdf document containing your CV and a meaningful letter of motivation to nwg-course(a)bcf.uni-freiburg.de. The letter of motivation should refer to the following points: * Reasons for wanting to take this course * Background in mathematics * Experience in using Matlab/Python/Mathematica * Background in neuroscience The course is limited to 20 participants. *Course fees:* NWG members - 50EUR, others - 125EUR *Application deadline: *June 30, 2014 *More information: *http://www.bcf.uni-freiburg.de/events/conferences-workshops/20141005-nwgcourse *-- Dr. Birgit Ahrens --* Teaching & Training Coordinator Bernstein Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559

June 5, 2014

Virtual Physiology for Teaching: SimNerv, SimNeuron etc.

by Hans Albert Braun

Dear Colleagues, we would like to draw your attention to the recently reprogrammed "*Virtual Physiology*" teaching tools, including two neurophysiology labs: SimNerv and SimNeuron. More information is given on our website www.virtual-physiology.com from where you also can download fully functioning demo versions for Windows. * **SimNerv* offers a realistic lab environment on the computer screen to perform classical experiments of compound action potential recordings from the frog sciatic nerve. All parameters of the stimulating and recording devices are freely adjustable. Mathemathical algorithms guarantee for appropriate reactions of the nerves, also considering their physological diversity. *SimNeuron* offers easy to overlook laboratories for voltage- and current clamp experiments on the basis of simplified Hodgkin-Huxley type equations, described, for example, in Tchaptchet et al., Brain Res, 1536: 159-167. A neuron editor allows altering the neuron's parameters to examine their impact on the neurons' dynamics. In addition to these neurophysiology labs you also can download fully functioning demo versions of *SimMuscle* and *SimHeart*, featuring classical experiments with nerve-muscle preparations of the frog and with the isolated heart of the rat in the widely used Langendorff set-up for drug perfusion. To ask for more information, reprints (see short list below), or prices for fully licensed versions for teaching, please, send a reply. We hope you and your students will enjoy working in the virtual physiology laboratories. Best regards Hans Braun and the Virtual Physiology team */ References: /*/see also //*http://www.uni-marburg.de/fb20/physiologie/ags/braun/publications*/* */or //*https://www.res**earchgate.net/profile/Hans_Braun/contributions?ev=prf_act*/ */SimNeuron related references:/* Tchaptchet A, Postnova S, Finke C, Schneider H, Huber MT, Braun HA (2013): Modelin Neuronal Activity in Relation to Experimental Voltage-/Patch-Clamp Recordings. Brain Res 1536: 159-167, http://dx.doi.org/10.1016/j.brainres.2013.06.029 /PubMed: //http://www.ncbi.nlm.nih.gov/pubmed/23911648 Science direct: //http://www.sciencedirect.com/science/article/pii/S0006899313009153/ -/or send a mail to braun(a)uni-marburg.de / Postnova S, Finke C, Huber MT, Voigt K, Braun HA (2011): Conductance-Based Models of Neurons and Synapses for the Evaluation of Brain Functions, Disorders and Drug Effects. In: Biosimulation in Biomedical Research, Health Care and Drug Development. Eds.: Erik Mosekilde, Olga Sosnovtseva, Amin Rostami-Hodjegan. Springer, Wien - New York, pp 93 -- 126. /Can be downloaded from our website www.virtual-physiology .com/ //*/General reports on the first Virtual Physiology release:/* Braun HA (2003) Virtual versus real laboratories in life-science education: Concepts and experiences. In: Jukes N and Chiuia M (Eds) From guinea pig to computer mouse. Interniche, pp 81-87. /Can be downloaded from our website www.virtual-physiology .com/ Bahar S (2000) The Real and Virtual Laboratory: A Conversation with Dr. Hans Braun. In: The Biological Physicist, The Newsletter of the Division of Biological Physics of the American Physical Society. Vol.1 No.1 June 2001 p 5-7. /Can be downloaded from our website www.virtual-physiology .com/ */A recent Poster for the 2014 Conference of the German Physiological Society:/* //Braun HA, Tchaptchet A, dell Oro-Friedl J, Immer D, Schneider H, Braun T, Postnova S, Semyachkina-Glushkovskaya O, Schwabedal J, Wenzel S, Voigt K, Hirsch M: Learning by Doing with the Virtual Physiology Series:Physiological and Pharmacological in silico Experiments. /Can be downloaded from our website www.virtual-physiology .com/ -- Hans A. Braun Neurodymics Lab, Institute of Physiology, Philipps University of Marburg Deutschhaustr. 2, D-35037 Marburg, Germany Phone: +49 6421 286-2305, Mobile: +49 173 319 3028, email: braun(a)staff.uni-marburg.de URL: www.uni-marburg.de/fb20/physiologie/ags/braun see also: www.virtual-physiology.com/

June 4, 2014

New code repository for Comp Neuro undergrad course materials

by Rob Clewley

Hi, I have taught two introductory comp neuro classes based mostly on Hugh Wilson's great book, with some additional material from Izhikevich's recent book. The course is intended to be a very practical introduction to the basics of DEs and dynamical systems for modeling neural systems. It focuses on electrophysiology of single neurons and small networks, and is split between lecture and lab format. I have updated a lot of the codes from Wilson's book and put them into PyDSTool, or at least in Python. I never got the chance to rigorously organize these codes, but have decided to post them on github as they are because I've already been contacted by some instructors who wanted to to use PyDSTool for their comp neuro class. There are some homework and project ideas up there too. Feel free to fork and contribute on github for others to benefit from any further input. https://github.com/robclewley/compneuro http://www.ni.gsu.edu/~rclewley/Teaching/CompNeuro/NEUR4030.html Best, Rob -- Robert Clewley, Ph.D. Assistant Professor Neuroscience Institute and Department of Mathematics and Statistics Georgia State University PO Box 5030 Atlanta, GA 30302, USA tel: 404-413-6420 fax: 404-413-5446 http://neuroscience.gsu.edu/rclewley.html

June 3, 2014

Applicant Call for Goettingen's Computational Neuroscience Summer Course

by Maximilian Puelma Touzel

Applications are invited for the 12th summer course on COMPUTATIONAL NEUROSCIENCE in Göttingen, Germany September 08th - 12th, 2014 Organized by Agostina Palmigiano, Joscha Liedtke and Maximilian Puelma-Touzel The course is intended to provide graduate students and young researchers from within and outside of neuroscience with working knowledge of theoretical and computational methods used in the field and to acquaint them with recent developments therein. The focus of this year's course is modelling and theory of neuronal ensembles. The course includes tutorials and lectures from the following researchers: * Carl Van Vreesijk, Universite Rene Descartes, Paris, France * Claudia Clopath, Imperial College London, London, England * Srdjan Ostojic, École Normale Supérieure, Paris, France * Gasper Tkacik, Institute of Science and Technology, Vienna, Austria * Alfonso Renart, Champalimaud Centre for the Unknown, Lisbon, Portugal The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. A course fee of 100 Euro includes participation in the tutorials, study materials, and part of the social events. The number of participants is limited to 30. Course language is English. To apply please fill out the application form at: http://www.bccn-goettingen.de/events/cns-course by *August 5, 2014* Best wishes and looking forward to seeing you in Göttingen, Max Puelma Touzel (on behalf of the organizers) Max Planck Institute for Dynamics and Self-Organization Fassberg 17, 37077 Goettingen, Germany +49 551 5176 444 Office +49 (0)176 6 876 2821 Mobile mptouzel(a)nld.ds.mpg.de www.nld.ds.mpg.de Maximilian Puelma Touzel Max Planck Institute for Dynamics and Self-Organization Fassberg 17, 37077 Goettingen, Germany +49 551 5176 444 Office +49 (0)176 6 876 2821 Mobile <mailto:mptouzel@nld.ds.mpg.de> mptouzel(a)nld.ds.mpg.de <http://www.nld.ds.mpg.de/> www.nld.ds.mpg.de

June 3, 2014

PhD position in computational modelling

by Jane Neumann

The Max Planck Institute for Human Cognitive and Brain Sciences Leipzig and the Collaborative Research Center (CRC) 1052 "Obesity mechanisms" at the Leipzig University Hospital are offering a PhD studentship in computational modelling. Within the project, computational modelling is used to investigate leaning and decision-making in humans. The project is aimed at the multi-modal integration of available and newly acquired behavioral, structural/functional magnetic resonance imaging (MRI), PET and genetic data towards comprehensive computational and neurocognitive models of cognitive control over behavior. Work will be carried out at the Max Planck Institute for Human Cognitive and Brain Sciences Leipzig under the supervision of Dr Jane Neumann and Dr Annette Horstmann. Both Leipzig's long tradition in conducting neuroscientific research and the ultra-modern equipment at the Max Planck Institute provide an environment that offers new perspectives in neuroimaging research. Further, the position will be part of the CRCs Integrated Research Training Group. This graduate program offers interdisciplinary qualification in various research methods and transferable skills, and provides support in career planning and in establishing an own scientific network. Applicants should hold a Master's degree (or equivalent) in one of the following disciplines: computational or cognitive neuroscience, computer science, maths, psychology, biology, cognitive science or related. Prior experience in the fields of computational neuroscience and/or neuroimaging are of great advantage. Sound knowledge of statistics and excellent programming skills are essential. A good command of written and spoken English is requested of all applicants. Please send your application as a single pdf-file to neumann(a)cbs.mpg.de referring to 'Modelling SFB 1052'. Complete applications include cover letter, CV, letter(s) of recommendation, and copies of university degrees and additional certificates. Informal enquiries should be made to Dr Jane Neumann (+49 (0) 341 99 40 26 21). For meeting Dr. Neumann and Dr. Horstmann at *OHBM 2014*, please send an email to neumann(a)cbs.mpg.de or horstmann(a)cbs.mpg.de including days and times when you are available during the conference. The salary is based on the German E 13 TV-L salary scale. In order to increase the proportion of female staff members, applications from female scientists are particularly encouraged. Disabled applicants are preferred if qualification is equal. Deadline for application: until position is filled Further details about the project can also be found at www.o-brain-project.de

June 3, 2014

[meetings] Living Machines III: Call for Participation in Conference, Demos and Workshops

by Nathan F Lepora

_____________________________________________________________ Call for Participation in Conference, Demos and Workshops Living Machines: The 3rd International Conference on Biomimetic Robotics and Biohybrid Systems. A Convergent Science Network Event 29th July to 1st August 2014 Museo Nazionale della Scienza e della Tecnologia, Leonardo Da Vinci Milano http://csnetwork.eu/livingmachines/conf2014 ______________________________________________________________ News & Highlights * Deadline for early registration, June 30th, 2014. * Book on time accommodation for good value and availability. see LM2014 for suggestions http://csnetwork.eu/livingmachines/conf2014/accommodation * Main conference programme now online, 6 plenary talks, 1 invited talk, 18 single-track oral presentations, 10 poster spotlights, 40 posters. * 4 satellite workshops also available for registration as separate events, topics include autonomous locomotion systems, the robot self, emergent social behavior, and biomimetics in design. * Bring a demo, be it a robot or an installation, for an exhibition on biomimetic robots, biohybrid computer art, live robot performance or videos. * If you wish to bring a demo please contact us. info.csnetwork(a)upf.edu * If you need help with transporting your demo to Milano contact us at info.csnetwork(a)upf.edu * You can book the social dinner as a separate event. Contact info.csnetwork(a)upf.edu for all enquiries. ABOUT LIVING MACHINES 2014 The 3rd International Conference on Biomimetic and Biohybrid systems comprises 4 days of events including 3 days of single-track oral presentations with 6 plenary speakers; a 1-day with five satellite workshops on themes ranging from autonomous robots to robot “selves” to biomimetics in design and social impacts of living machines. On Wednesday there will be a reception offered by the Tailor & Francis group http://www.taylorandfrancis.com/ and, on Thursday there will be the LM2014 banquet. We hope you will join us for this exciting programme! The conference registration site is open. Please register soon to take advantage of early registration—deadline June 30th ***From every accepted paper at least 1 author must be registered and present at the Conference*** CONFERENCE PROGRAMME **Program now available online** http://csnetwork.eu/livingmachines/conf2014/programme The main conference will take the form of a single-track oral presentation programme, 30th July to midday 1st August 2014 that will include 6 plenary lectures from leading international researchers in biomimetic and biohybrid systems. Agreed speakers are: Mandyam Srinivasan Queensland Brain Institute, Australia Insect-inspired cognition and vision Andrew Schwartz University of Minnesota, Pittsburgh, USA Neural control of prosthetics Sarah Bergbreiter University of Maryland, USA Microrobotics Darwin Caldwell Italian Institute of Technology, Genova, Italy Legged Locomotion Ricard Sole Universitat Pompeu Fabra, Barcelona, Spain Evolution of complex networks Minoru Asada Osaka University, Japan Cognitive and Affective Developmental Robotics There will also be 18 regular talks of 30 min, 1 invited talk on Thursday at midday on Biomimetics in Design by Franco Lodato, 10 Poster Spotlights of 5 min and 2 poster sessions of 90 mins each (midday of July 30st and August 1st) featuring 40 posters. Particular themes include: Soft Robotics Neuromechanics Social Robotics Locomotion Biohybrid Brain-based Active Sensing WORKSHOPS In addition to the main conference there is one further day of workshops, each with their own full program that will be available soon on the Living Machines website. Monday 29th July Embodied Interaction and Internal Models: Key Features of Autonomous Locomotion Systems - Organisers: Volker Dürr, Biological Cybernetics, Bielefeld University, Germany, Paolo Arena, Electrical Engineering, University of Catania, Italy The Robot Self - Organizers: Tony Prescott, University of Sheffield, UK; Paul Verschure Universitat Pompeu Fabra Barcelona, CSNII Emergent social behaviours in bio-hybrid systems - Organizers: José Halloy: Universite Paris Diderot. Thomas Schmickl: Karl-Franzens-University Graz, Stuart Wilson, University of Sheffield Rotational Geometry and the Creation of Bionic Models. - Organizers: Pino Trogu, San Francisco State University, USA, Franco Lodato, Creative Director VSN Mobil with Istituto Europeo di Design, Milano Neuro-chip interfaces and Neuroprostheses - Organizers: Stefano Vassanelli, University of Padova, Italy Attendance at workshops will attract a small fee intended to cover the costs of the meeting. We have reserved meeting rooms at the Italian Institute of Technology in Milan each with capacity for up to 40 people. Please book early. Separate registration for satellite events is possible. ABOUT THE VENUE The organisers are delighted to have secured the Museo Nazionale della Scienza e della Tecnologia, Leonardo Da Vinci Milano as the main venue for our conference. The museum is a centre dedicated to Leonardo da Vinci a symbol of the connection between artistic and scientific-technological cultures, two complementary expressions of human creativity. KEY DATES June 30th 2014 Deadline for early registration July 30th - August 1st 2014 Conference We are looking forwards to seeing you in Milano. ORGANISING COMMITTEE Tony Prescott (co-chair) Paul Verschure (co-chair) Armin Duff (programme chair) Roberto Cingolani (local organizer) Barbara Mazzolai (workshops) Nathan Lepora (communications) Anna Mura (communications and web-site) Contact and Conference Secretariat: Info.csnetwork(a)upf.edu living-machines(a)sheffield.ac.uk

June 3, 2014

[PhD] Natural scene statistics and visual motion processing in humans and non-human primates

by Laurent Perrinet

Dear List, Applications are invited for 3 PhD positions funded by the PhD program in Integrative and Clinical Neurosciences (http://www.int.univ-amu.fr/PhD-Program-in-Integrative-and) as described in: http://www.int.univ-amu.fr/IMG/pdf/List_of_research_projects.pdf among which the following ---at the Institute of Neurosciences, Timone in Marseille, France--- may be of interest to the list. Deadline for applications is June 15th. Cheers, Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS http://invibe.net/LaurentPerrinet Title: Natural scene statistics and visual motion processing in humans and non-human primates Supervisor: Guillaume MASSON Laboratory: Institute of Neurosciences, Timone (INT) State of the art: The mammalian visual system is tuned to process the complex, high-dimension statistics of natural scenes. For instance, neuronal responses to natural inputs are more ﬁnely tuned, more temporally precise and more sparse. A major challenge is to understand how such complex information is integrated to measure perceptual quantities such as object motion in a crowded environment. From a theoretical perspective, this implies to understand how the cascade of cortical processing steps extracts the relevant dimensions through linear (e.g. ﬁltering) and nonlinear (e.g. gain control, contextual modulation) mechanisms. From an experimental perspective, the challenge implies to design behavioural tasks that can dissect out these mechanisms. The classical approach is to compare classic, low-dimension stimuli such as gratings or dots with natural images. However, it is almost impossible to parametrize natural scenes in a useful way. We [1], and others [2], have designed and begun to use naturalistic stimuli as static or dynamic textures of which mean and variance along each parameter space is manipulated to demonstrate how sensory systems sense and represent information. We have recently shown in Nature Neuroscience3 that richer textures drive more accurate and reliable ocular tracking responses. This is the ﬁrst demonstration that naturalistic inputs processing can be probed using sensorimotor tasks. Objectives: Our objective is to demonstrate that in human and non-human primates, estimating direction and speed of a moving object requires to integrate information from the multiple spatial and temporal scales existing in natural scenes. We will investigate how different spatiotemporal frequency channels are nonlinearly combined to drive faster and more precise tracking eye movements. In particular, we will extend our previous study [3] by studying how richness of visual motion information reduces the variability of motor responses, within and across trials. We will also study how the geometric organization of the texture input impacts performance, opening the door to understanding the link between low-level motion processing and the perceptual organization of complex scenes. Methods: The approach is based on probing low-level visual processing through the dynamics of reﬂexive eye movements. Ocular following responses exist in both humans and non-human primates and over the last 15 years we, and others have shown how they can probe low-level motion mechanisms. The PhD will work in non-human primates to conduct behavioural experiments using random phase textures and recording eye movements with the scleral search coil technique. Behavioural performance will be assessed through kinematics (acceleration, latency…) as well as through detection and discrimination tasks (i.e. comparison between responses for two stimuli). Expected results: A ﬁrst step will be to reproduce the main observation made in humans: richness of the inputs improves precision and decreases variability. Then we will characterize the nonlinear interactions between spatiotemporal channels underlying speed estimation through motion energy and their temporal dynamics. Feasibility: This project is supported by an ANR project (SPEED) that started in October 2013. The PhD student will work in close collaboration with a PD fellow working in humans as we expect the ﬁrst series of experiments to be identical in both species. A non-human primate set-up is available and a research assistant (F Barthelemy) will daily supervise the lab work. The InViBe team has strong expertises in modelling and electrophysiology so that the project will open the door for collaborative work in texture synthesis and speed processing modelling with Laurent Perrinet and recording of population activity evoked with dense, naturalistic textures with Fred Chavane. 1 Sanz-Léon et al. (2012) J Neurophysiol http://invibe.net/LaurentPerrinet/Publications/Sanz12 2 Freeman et al. (2013) Nature Neuroscience 3 Simoncini et al. (2012) Nature Neuroscience http://invibe.net/LaurentPerrinet/Publications/Simoncini12 Listed as Research project #18 in: http://www.int.univ-amu.fr/IMG/pdf/List_of_research_projects.pdf More Guidelines: In 2014, the PhD program in Integrative and Clinical Neurosciences will fund three PhD scholarships to excellent Master graduates from non-French top ranked universities The selection process includes the following steps : Nineteen research projects of excellence from AMU laboratories have been selected by the board of the PhD program. Applicants have to select and rank two research projects and motivate their choice The selection committee will shortlist 10 students that will be individually interviewed in June The final decision will be known in July and the three successful candidates will start their PhD in October. Guidelines for students The scholarships are open to high performing Master graduates from top ranked non-French universities. Applicants must provide the following documents : A first e-mail should be sent by you to edsvs-neuroscience-phd-program(a)univ-amu.fr with the subject "PhD Application, YourName" [1] and three documents in the appropriate format : a Curriculum Vitae. This document should be named "YourName_CV.doc" a document highlighting the adequacy between the applicant’s background and the selected research projects (to be download here). Please use the following template to be download here. This document should be named "YourName_ResearchProjects.doc" . a one page letter of motivation (500 words). This document should be named "YourName_motivation_letter.doc" . two letters of recommendation will have to be sent directly to edsvs-neuroscience-phd-program(a)univ-amu.fr with the subject "Recommendation, YourName" , using the following template to be download here. This document should be named "YourName_Evaluation.doc". Closing date for applications : Sunday, June 15th, at midnight (French time). Scholarship value : Net monthly salary : 1,368 €. Expenses : applicants will pay their annual tuition fee (around 500 €) and, when needed, their visa fee. Tenure of award : 3 years General rules Any incomplete application will not be considered How and when do students learn about the decision ? Offers of PhD scholarships will be made soon after the final individual interview, early July. Because some applicants may decline a scholarship, it is possible that some applicants receive their notification of selection a week after the final decision What conditions are attached to acceptance of this award ? Scholarship recipients must sign a Postgraduate Scholarships Contract agreeing to abide by the attached regulations. Recipients will be required to devote themselves full-time to their program of research during the tenure of the scholarship Selection committee : members of the PhD program board and members of the AMU neuroscience community. None of them will be the supervisor of a proposed research project

June 3, 2014

[meetings] [ECCV2014] CfP: Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis (in conjunction with ECCV 2014)

by Karthik Mahesh Varadarajan

========================================================================== *Call for Papers- Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis* (in conjunction with ECCV 2014), September 7, 2014, Zurich, Switzerland http://affordances.info/workshops/ECCV.html ========================================================================== The workshop seeks to address key challenges in computer vision and applications such as robotics with regard to functional form descriptions, which are termed as "affordances". Based on the Gibsonian principle of defining objects by their function, "affordances" have been studied extensively by psychologists and visual perception researchers, resulting in the creation of numerous cognitive models. These models are being increasingly revisited and adapted by computer vision researchers to build visual perception and behavioral algorithms in recent years. This workshop attempts to explore this nascent, yet rapidly emerging field of affordance based cognitive vision (recognition of objects, activities, scenes etc.) while integrating the efforts and language of affordance communities not just in computer vision, but also psychophysics and neurobiology by creating an open affordance research forum, feature framework and ontology called AfNet (theaffordances.net) In particular, the workshop will focus on emerging trends in affordances and other human-centered function/action features that can be used to build computer vision algorithms leading to various intelligent applications. The workshop will also feature contributions from researchers involved in traditional theories to affordances, especially from the point of view of psychophysics and neuro-biology. Avenues to aiding research in these fields using techniques from computer vision and cognitive robotics will also be explored. Primary topics addressed by the workshop include the following among others - Affordances in visual perception models - Affordances as visual primitives, common coding features and symbolic cognitive systems - Affordances for object recognition, search, attention modulation, functional scene understanding and classification - Object functionality analysis - Affordances from appearance and touch based cues - Haptic adjectives - Functional-visual categories for transfer learning - Actions and functions in object perception - Human-object interactions and modeling - Motion-capture data analysis for object categorization - Affordances in human and robot grasping - Affordance learning - Affordance ontologies - Knowledge bases for affordances and affordance modeling Understanding various challenges in the field of affordances and building a common language and framework for communication across the varied affordance communities are the key goals of the proposed workshop. Through the course of the workshop, we also envisage the establishment of a working group for AfNet. *Paper Submissions* Paper contributions to the workshop are solicited in four different formats. This departure from the regular format is intended to promote greater contribution and cater to the needs of affordance communities from various disciplines such as Knowledge Representation, Psychology, Psychophysics, Neuroscience, Kinematics, Ontologies besides traditional audience such as from Cognitive/ Computer Vision and Robotics. - *Conceptual papers* (2 pages): Authors are invited to submit original ideas on approaches to address specific problems in the targeted areas of the workshop. While a clear presentation of the proposed approach and the expected results are essential, specifics of implementation and evaluations are outside the scope of this format. This format is intended at exchange and evaluation of ideas prior to implementation/ experimental work as well as to open up collaboration avenues. - *Design papers* (6 pages): Authors submitting design papers are required to address key issues regarding the problem considered with detailed algorithms and preliminary or proof-of-concept results. Detailed evaluations and analyses are outside the scope of this format. This format is intended at addressing late-breaking and work in progress results as well as fostering collaboration between research and engineering groups. - *Experimental papers* (6 pages): Experimental papers are required to present results of experiments and evaluation of previously published algorithms or design frameworks. Details of implementation and exhaustive test case analyses are key to this format. These papers are geared at benchmarking and standardizing previously known approaches. - *Full papers* (14 pages): Full papers must be self-inclusive contributions with a detailed treatment of the problem statement, related work, design methodology, algorithm, test-bed, evaluation, comparative analysis, results and future scope of work. Submission of original and unpublished work is highly encouraged. Since the goal of this workshop is to bring together the various affordance communities, extended versions/ summary reports of recent research published elsewhere, as adapted to the goals of the workshop, will also be accepted. These papers are required to clearly state the relevance to the workshop and the necessary adaptation. The program will be composed of oral as well as Pecha-Kucha style presentations. Each contribution will be reviewed by three reviewers through a single-blind review process. The paper formatting should follow the ECCV formatting guidelines (Templates: LaTeX <http://eccv2014.org/wp-content/uploads/2013/10/eccv2014kit.zip>). All contributions are to be submitted via Microsoft Conference Management Tool <https://cmt.research.microsoft.com/A22014/Default.aspx> in PDF. Please adhere to the following strict deadlines. In addition to direct acceptance, early submissions may be conditionally accepted, in which case submission of a revised version of the paper based on reviewer comments, prior to the late submission deadline is necessary. The final decision on acceptance of such conditionally accepted papers will be announced along with the decisions for the late submissions. Hence, while early submissions will have a better chance of acceptance than late submissions, submission to either (or both) rounds is equally encouraged. *Important Dates* - Initial submissions (Early): 23:59:59 PDT *Jun 10*, 2014 - Notification of acceptance (Early submissions): June 20, 2014 - Initial submissions (Late): 23:59:59 PDT June 25, 2014 - Notification of acceptance (Late submissions): July 15, 2014 - Submission of publication-ready version: July 25, 2014 - Workshop date: September 7, 2014 *Organizers* Karthik Mahesh Varadarajan <http://www.karthikmahesh.com> (varadarajan(at) acin.tuwien.ac.at), TU Wien Alireza Fathi <http://ai.stanford.edu/~alireza/> (alireza(at)cs.stanford.edu) Stanford Juergen Gall <http://www.vision.ee.ethz.ch/~gallju/> (gall(at) iai.uni-bonn.de), Univ. Bonn Markus Vincze <http://www.acin.tuwien.ac.at/index.php?id=231&L=1> (vincze(at)tuwien.ac.at), TU Wien *Speakers and Participants* (To be updated) Fei-Fei Li (Affordances in Computer Vision), Stanford University, USA Abhinav Gupta (Affordances in Computer Vision), Carnegie Mellon University, USA Derek Hoiem (Affordance Semantics), University of Illinois at Urbana-Champaign, USA Ashutosh Saxena (Affordances in Cognitive Robotics), Cornell University, USA Aaron Bobick (Affordances in Robotics), GeorgiaTech, USA *Program Committee* Irving Biederman (USC) Aude Oliva (MIT) Martha Teghtsoonian (Smith College) Barbara Caputo (Univ. of Rome, IDIAP) Song-Chun Zhu (UCLA) Antonis Argyros (FORTH) Tamim Asfour (KIT) Trevor Darrell (UC. Berkeley) Michael Beetz (TUM) Norbert Krueger (Univ. of Southern Denmark) Sven Dickinson (Univ. of Toronto) Erhan Oztop (Ozegin Univ.) Diane Pecher (Erasmus Univ. Rotterdam) Jason Corso (UB New York) Juan Carlos Niebles (Universidad del Norte) Tamara Berg (UNC Chapel Hill) Moritz Tenorth (Univ. Bremen) Dejan Pangercic (Robert Bosch) Roozbeh Mottaghi (Stanford) Xiaofeng Ren (Amazon) David Fouhey (CMU) Tucker Hermans (Georgia Tech) Tian Lan (Stanford) Amir Roshan Zamir (UCF) Hamed Pirsiavash (MIT) Walterio Mayol-Cuevas (Univ. of Bristol)

June 2, 2014

Real-life cognition contest (submission deadline Nov 1 2014)

by Michael Hanke

In order to fully understand how the brain works, it is essential to study the complex inter-play of cognitive processes that are characteristic when interacting with a rich natural environment. Going beyond the localization of individual aspects of brain function is pivotal as there are clear limits to what we can learn about the function of the brain as whole via restricting investigation to specialized cognitive sub-systems in feature deprived laboratory settings. We believe that there is need for more publicly available data on real-life cognition, as well as analysis strategies to study complex concurrent neural processes. We invite research groups and individuals to participate in a contest to master these challenges. As a starting point, we have published a large dataset (functional MRI, simultaneous cardiac and respiratory measurements, technical noise estimates, high-res structural images (T1w, T2w, SWI, angiography, DTI), and stimulus annotations) that is available to anyone without restrictions: Hanke, M., Baumgartner, F.J., Ibe, P., Kaule, F.R., Pollmann, S., Speck, O., Zinke, W. & Stadler, J. (2014). A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie. Scientific Data, 1. doi:10.1038/sdata.2014.3 Among all submissions that are received until November 1 2014 a jury will determine the best contributions in terms of novelty of the approach, scientific rigor, and potential impact on future research and application. The best three contributions will receive an award (3000, 1500, and 500 Euro respectively) sponsored by the Center for Behavioral Brain Sciences, Magdeburg, Germany. The jury consists of: Uri Hasson (Princeton University) James Haxby (Dartmouth College) Daniel Margulies (MPI Leipzig) Russ Poldrack (U Texas, Austin) Jean-Baptiste Poline (Neurospin) Stefan Pollmann (CBBS, Magdeburg) Peter Ramadge (Princeton University) For more information, demos, and data access visit: http://studyforrest.org

June 2, 2014

PhD Scholarship in Machine Learning for Neuroscience

by Paolo Avesani

PHD SCHOLARSHIP IN MACHINE LEARNING FOR NEUROSCIENCE The Department of Information Engineering and Computer Science (DISI) at the University of Trento and its research partner Fondazione Bruno Kessler (FBK), invites applications for 1 open PhD position covered by scholarship in the area of Machine Learning for Neuroscience. The deadline for applications is June 16, 2014, before 16:00, CET. The PhD research program aims at carrying out research activity on machine learning methodologies for neuroscientific data analysis. The main goal is the design and the deployment of machine learning algorithms for neuroimaging-based neuroscience investigations. The research focuses on three specific tasks: brain decoding, brain mapping and brain connectivity. The challenge is to design effective computational methods for multivariate pattern analysis. The PhD research program will take place at NILab, the Neuroinformatics Laboratory raised as a joint initiative of the Bruno Kessler Foundation and the Center for Mind/Brain Sciences (CIMeC) of the University of Trento. The University of Trento ranks 1st among the Italian Universities in the rankings of Times Higher Education and CIMeC ranks 1st for quality of research in the ranking of the Italian National for the Evaluation of Universities and Research (ANVUR). CIMeC has 6 ERC starting grants and 1 advanced grant. Trento ranks 1st in the annual survey on quality of life in Italian cities conducted by daily Il Sole 24 Ore. Details on the PhD School and a link to the online application are provided below. For further information, please contact info.nilab(a)fbk.eu. Links - PhD School: http://ict.unitn.it/ - DISI: http://disi.unitn.it - FBK: http://www.fbk.eu - NILab: http://nilab.fbk.eu - CIMeC: http://www.cimec.unitn.it

June 1, 2014

Postdoc opening

by Malte Rasch

Our Computational Neuroscience Lab at the Institute for Cognitive & Neuroscience and Learning at the Beijing Normal University (BNU) has an opening for a postdoc working in the field of computational neuroscience. Our lab is interested in neural model building, neural information processing, and data analysis in close collaboration with experimentalist in the areas of neural correlates of perceptual learning in the visual cortex in monkeys, multisensory integration, critical period plasticity in mice, motion integration, group learning in fish, and others. We have very close ties with a number of experimental groups on the campus, including 4 active awake monkey labs, eager to share data. There are thus various possible research projects for a computational postdoc interested in data analysis and model building in close collaboration with experiments. We invite applications from prospective postdocs with background in a computational discipline, such as computational neuroscience, computer science, biophysics, computer vision, or machine learning. Former experience working with neuroscience data is of advantage. The position is open immediately and supported by the Chinese government for 2 years and especially encourages non-Chinese applicants. Eligible candidates must have a recent PhD from a renowned university, strong publication record, fluent English proficiency and have to be younger than 35. Salary is very competitive and adjusted to an international level. Chinese knowledge is no requirement but willingness to learn would help in daily life. The Cognitive & Neuroscience and Learning Institute is a government supported research facility with one of the strongest neuroscience clusters in China. It is located within the urban center of the vibrant city of Beijing with a multitude of attractions and active night life. For more infos on research, see http://www.mjrlab.org and http://brain.bnu.edu.cn/ (English site under construction). If you are interested and qualified, please send a cover letter, CV, transcripts of relevant publications to malte.rasch(a)bnu.edu.cn or wusi(a)bnu.edu.cn. --- Dr. Malte Rasch Associate Professor Neural Data Modelling Group State Key Lab for Cognitive Neuroscience & Learning Beijing Normal University www.mjrlab.org

June 1, 2014

2nd Announcement: Bernstein Sparks Workshop and CI2014 conference, 20 June 2014

by Seeber, Bernhard

Dear List, I would like to invite you to the 3rd Bernstein Sparks Workshop on "Modelling and Signal Processing for Auditory Implants" and to the CI 2014 conference in Munich. The conference will take place on 18-21 June 2014 and the workshop will be held on Friday, 20 June 2014, in the conference venue. The workshop will feature invited talks by experts in the field which cover the topic from physiological aspects to various models (physiologically inspired and perceptual models) and their application for designing new stimulation strategies for auditory implants. Attendance to the workshop is free for conference participants and Bernstein members. Conference day tickets will be available. More information can be found at: http://www.ci2014muc.info/Bernstein-Sparks-Workshop.708.0.html http://www.ci2014muc.info Looking forward to meeting you in Munich, Bernhard Seeber -- Prof. Dr.-Ing. Bernhard U. Seeber Audio Information Processing Dept. of Electrical Engineering and Information Technology Technische Universität München Arcisstrasse 21 D-80333 Munich, Germany Office: +49 89 289-28282 Fax: +49 89 289-28211 Mobile: +49 (0)174 928 6338 Visitors: Theresienstrasse 90, building N5, room N6504 Web: www.aip.ei.tum.de www.bseeber.de

May 30, 2014

IEEE SSCI 2014 Doctoral Consortium (deadline June 15, 2014) - Call for Applications

by Stephen G Matthews

IEEE SSCI 2014 Doctoral Consortium - Call for Applications The IEEE Symposium Series on Computational Intelligence (SSCI) 2014 will be running a Doctoral Consortium alongside the symposium. The objective of this Doctoral Consortium is to provide an opportunity for Ph.D. students to discuss their dissertation research topics, research plans, and research methodologies in a supportive environment with peers in the community. The feedback, advice, and guidance will be invaluable to Ph.D. students in supporting their current and future research in computational intelligence and their future careers. There are dedicated financial support for selected Ph.D. students to attend this Doctoral Consortium as well as student travel grants for SSCI. Applications In order to submit to the Doctoral Consortium, students are required to submit the following items through the same portal as papers for SSCI. 1. Cover sheet that includes: - Full name - Affiliation and email address - Expected graduation date - Thesis advisor’s full name, title, affiliation and email address - Title of research - List of up to 5 keywords to help select reviewers for the application 2. A 2-page summary of Ph.D. research that includes: - Title of research - Name, affiliation, and email address - Research question and significance - Important literature - Proposed research methodology - Preliminary results - Future research plan - Reference list (maximum one page, not included in 2-page limit) 3. CV 4. Letter of support from Ph.D. supervisor or other faculty member 5. Confirmation letter of Ph.D. student status Key dates are the same as for the SSCI Submission June 15, 2014 Notification September 5, 2014 Final Submission October 5, 2014 Full details of the Doctoral Consortium are available from http://ieee-ssci.org/consortium.html Co-Chairs Stephen G. Matthews, University of Bristol, UK Xiaorong Zhang, San Francisco State University, USA Demetrios G. Eliades, University of Cyprus, Cyprus

May 30, 2014

CogModel notes: ICCM15/BRIMS14/books/prize/new society/Job

by Frank Ritter

This is the second emailing for ICCM 2015. Please forward if appropriate to your members, and put appropriate links onto your web site. Normally, the ICCM 2015 announcement would drive this email (it will be in Gronigen, near April 2015, on its regular (15/18 month) schedule, this should be settled next month). But, there are several timely announcements that indicate new publication outlets, resources, and jobs in Cog Sci and in cognitive modeling. I have also included several unusual items, including an interesting conference and a Kickstarter campaign! Now in order: meetings, resources, jobs. If you would like to be removed, please just let me know. I maintain it by hand to keep it small. [Hypertext version available at http://acs.ist.psu.edu/iccm2015/iccm-mailing-may2014.html] cheers, Frank Ritter frank.e.ritter(a)gmail.com http://www.frankritter.com **************************************************************** 1. Intnl. Conf. on Cognitive Modeling, April 2015 in Gronigen, NL 2. WASET International Conference on Cognitive Modeling (!) [link suppressed] :::: Other conferences, workshops 3. BRIMS 2014 proceedings online http://cc.ist.psu.edu/BRIMS/archives/2014/ 4. Cognitive Science Society annual meeting, 27 june early reg. deadline http://cognitivesciencesociety.org/conference_future.html 5. Cognitive Science Tutorial Program, 23 July 2014 http://cognitivesciencesociety.org/conference2014/tutorials.html 6. ACT-R Workshop at Cognitive Science 2014 http://cognitivesciencesociety.org/conference2014/workshops.html [from act-r mailing list] 7. Soar Workshop, week of 16 June https://web.eecs.umich.edu/~soar/workshop/ 8. 3rd Conference on Advances in Cognitive Systems, May 2015 http://www.cogsys.org/2015 9. BICA 2014 call for papers, due 26 May 2014, but other dates http://bicasociety.org/meetings/2014/ 10. Nengo Summer School, 8-21 June http://nengo.ca/summerschool 11. Summer School - Web Science & the Mind, 7-18 July, reg. still open http://www.summer14.isc.uqam.ca/ 12. CFP for 2015 iConference in Newport Beach, CA, 24-27 March 2015 http://ischools.org/the-iconference/ papers due 5 sept 2014 13. Intl. Summer School in Cog. Sci., 30 Jun-11 July, Bulgaria http://nbu.bg/cogs/events/ss2014.html 14. 14th Neural Computation and Psychology Workshop, 21-23 Aug http://www.psych.lancs.ac.uk/ncpw14 15. AI for Human-Robot Interaction (AI-HRI), papers due 13 June 14 http://ai-hri.github.io/ :::: Other resources 16. OpenWorm Kickstarter Campaign http://www.openworm.org 17. Numerous books to review 18. Premodeling / HCI book FDUCs: What designers need to know about people http://www.frankritter.com/fducs/ 19. New Society: The Society for Affective Science and Conference http://www.society-for-affective-science.org/conference 20. $10k prize for best paper in Human Factors journal, due 2 June 14 http://www.hfes.org/web/pubpages/hfprize.html :::: Jobs 21. Post doctoral Scholar in Systems Neuroscience and Connectivity Modeling http://www.la.psu.edu/facultysearch/ **************************************************************** 1. International Conf. on Cognitive Modeling, April 2015 in Gronigen, NL The International Conference on Cognitive Modeling will take place in April 2015 (approx. date) at RU/Gronigen, in the Netherlands. The deadline date for submissions will be in the Fall of 2014. Further announcements will provide more details. **************************************************************** 2. WASET International Conference on Cognitive Modeling (!) [link suppressed] Cognitive modeling has grown, and we don't always know everyone doing it any more. But, it has also now grown enough that WASET, the (so-called) World Academy of Science, Engineering and Technology has created a "WASET International Conference on Cognitive Modeling". WASET has NO RELATION to the ICCM conference folks. If you have any useful suggestions, please get in touch. I've emailed a few of their program committee members, where I could find their addresses, to start a discussion. The program committee appears to be made up of scholars from other areas, and I have confirmed that with two of them, who don't know how to be removed. References https://en.wikipedia.org/wiki/World_Academy_of_Science,_Engineering_and_Tec… Google has plenty more information on WASET. Google: WASET International Conference on Cognitive Modeling 2014 will get you to the interesting conference. [I now suggest that we put copyright on our web pages, and, realise that cognitive modeling is now important enough to be copied (that is a neutral term) by WASAT.] **************************************************************** 3. BRIMS 2014 proceedings online http://cc.ist.psu.edu/BRIMS/archives/2014/ The Behavior Representation in Modeling and Simulation (BRIMS) conference (http://cc.ist.psu.edu/BRIMS2014/) was held 1-4 April. It was held with the Social computing, Behavioral-cultural modeling, and Prediction (SBP) conference (http://sbp-conference.org/) in DC. Its proceedings are online at http://cc.ist.psu.edu/BRIMS/archives/2014/ The place and time for next year are not yet announced. **************************************************************** 4. Cognitive Science Society annual meeting, 27 june early reg. deadline http://cognitivesciencesociety.org/conference_future.html CogSci 2014 - Cognitive Science Meets Artificial Intelligence: Human and Artificial Agents in Interactive Contexts Quebec City, CA 23-26 July 2014 Website URL for future conference: http://cognitivesciencesociety.org/conference_future.html ---- Highlights Include: Plenary Speakers: Dedre Gentner, Steven Harnad, & Minoru Asada 13th Rumelhart Prize Recipient: Ray Jackendoff Symposia: "Foundations of Social Cognition", "Moral Cognition and Computation", "The Future of Human-Agent Interaction" Cognitive scientists from around the world are invited to attend CogSci 2014, the world's premiere annual conference on cognitive science. The conference represents a broad spectrum of disciplines, topics, and methodologies from across the cognitive sciences. In addition to the invited presentations, the program will be filled with reviewed submissions from the following categories: papers, symposia, presentation-based talks, member abstracts, tutorials, and workshops. Submissions must be completed electronically through the conference submissions web site. Submissions may be in any area of the cognitive sciences, including, but not limited to, anthropology, artificial intelligence, computational cognitive systems, cognitive development, cognitive neuroscience, cognitive psychology, education, linguistics, logic, machine learning, neural networks, philosophy, robotics and social network studies. Information regarding the submission process, including opening dates for the submission website will be posted shortly. http://cognitivesciencesociety.org/conference2014/submissions.html We look forward to seeing you in Quebec City. Conference Co-Chairs: Paul Bello, Marcello Guarini, Marjorie McShane, and Brian Scassellati *********************************************************** 5. Cognitive Science Tutorial Program, 23 July 2014 http://cognitivesciencesociety.org/conference2014/tutorials.html Growth Curve Analysis: A Hands-On Tutorial on Using Multilevel Regression to Analyze Time Course Data Daniel Mirman Full Day Tutorial on Quantum Models of Cognition and Decision Zheng Wang, Jerome Busemeyer, Jennifer Trueblood Probability, programs, and the mind: Building structured Bayesian models of cognition Noah Goodman, Josh Tenenbaum Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk Josh de Leeuw, Anna Coenen, Doug Markant, Jay B. Jay B. Martin, John McDonnell, Alexander Rich, Todd Gureckis Types and states: Mixture and hidden Markov models for cognitive science Ingmar Visser, Maarten Speekenbrink Practical Advice on How to Run Human Behavioral Studies Frank Ritter, Jong Kim *********************************************************** 6. ACT-R Workshop at Cognitive Science 2014 http://cognitivesciencesociety.org/conference2014/workshops.html [from act-r mailing list] The ACT-R Workshop 2014 will be held as part of the Cognitive Science annual meeting: http://cognitivesciencesociety.org/conference2014/workshops.html The workshop this year will be organized around four themes: Neuroscience, Metacognition, Applications, and Architecture. We expect to discuss a wide range of issues that relate to cognitive architectures and cognitive modeling more generally; anyone interested in these issues (regardless of familiarity with ACT-R) is invited and encouraged to attend. If you have an idea for a short presentation at the workshop, please email me, salvucci(a)drexel.edu a possible title and description. Registration information should be available soon on the Cognitive Science web site. **************************************************************** 7. Soar Workshop, week of 16 June https://web.eecs.umich.edu/~soar/workshop/ The Center for Cognitive Architecture at the University of Michigan (http://sitemaker.umich.edu/soarweb/home) and Soar Technology (http://www.soartech.com/) are pleased to announce that the 34th Soar Workshop will be held the week of June 16, 2014 at the Computer Science and Engineering building at the University of Michigan in Ann Arbor. For those of you not familiar with the Soar Workshop (https://web.eecs.umich.edu/~soar/workshop/) each year, members of the Soar community -- faculty, scientists, graduate students, technical staff and developers -- gather together for several days of intensive interaction and exchange on Soar. The Soar community is widely distributed geographically, so these workshops (http://sitemaker.umich.edu/soar/soar_workshop_proceedings) provide an opportunity to have face-to-face conversations, learn about the current status of other participants' research and get previews of what will happen in the future. We will try to give as many members of the community as possible the opportunity to describe their research or discuss the Soar issues that are of concern to them. This means the time available per talk is quite short (typically either 5 or 15 minutes). Since workshop attendees are already entrenched in the Soar world, brief talks that concentrate on only the essentials work very well. The workshop format is presentations only -- no formal papers. [but slides are often collected] There is no charge to attend the 33rd Soar Workshop although registration at https://web.eecs.umich.edu/~soar/workshop/manage.php this link is required. You may sign up to give talks of various lengths as soon as you're registered. And then please upload a copy of your presentation(s) by June 4th, 2013 via the Soar Workshop registration page (https://web.eecs.umich.edu/~soar/workshop/manage.php) Please make sure to register as soon as possible so that we can plan the workshop accordingly! Questions and information regarding the workshop should be directed to John Laird via (laird(a)umich.edu) email, mail or phone: Soar Workshop 33 c/o John Laird 2260 Hayward Ann Arbor, MI 48109-2121 (734) 647-1761 **************************************************************** 8. 3rd Conference on Advances in Cognitive Systems, May 2015 http://www.cogsys.org/2015 We are currently in the process of organizing the 3rd Conference on Advances in Cognitive Systems (ACS). We wanted to give you a heads up that ACS will be moving to a spring conference. The next ACS will be held at Georgia Tech, Atlanta, Georgia USA on May 29-31, 2015. The paper submission deadline will be in February 2015. As you may have heard, AAAI has moved to a winter conference to avoid conflict with IJCAI (which has become an annual event). The ACS organizing committee felt it best to avoid a collision with AAAI's paper submission deadlines. We hope that the ACS move to spring will allow the diverse and dynamic cognitive systems community to grow. Please be on the look out for the call for papers in the coming months. Best, Ashok Goel and Mark Riedl Co-Chairs, 3rd Conference on Advances in Cognitive Systems [there is also a mailing list that they have added people to: advances-cognitive-systems(a)lists.gatech.edu] **************************************************************** 9. BICA 2014 call for papers, due 26 May 2014, but other dates http://bicasociety.org/meetings/2014/ 2014 Annual Intl Conf on Biologically Inspired Cognitive Architectures (BICA 2014) Fifth Annual Meeting of the BICA Society November 7-9 (Friday-Sunday): MIT, Cambridge, MA (http://bicasociety.org/meetings/2014) Sponsors: The BICA Society; MIT; Elsevier B.V. Points of contact: Paul Robertson (paulr(a)dollabs.com) and Alexei Samsonovich (alexei(a)bicasociety.org) Call for Papers Biologically Inspired Cognitive Architectures (BICA) are computational frameworks for building intelligent agents that are inspired from biological intelligence. Biological intelligent systems, notably animals such as humans, have many qualities that are often lacking in artificially designed systems including robustness, flexibility and adaptability to environments. At a point in time where visibility into naturally intelligent systems is exploding, thanks to modern brain imaging and recording techniques allowing us to map brain structures and functions, our ability to learn lessons from nature and to build biologically inspired intelligent systems has never been greater. At the same time, the growth in computer science and technology has unleashed enough computational power at sufficiently low prices, that an explosion of intelligent applications from driverless vehicles, to augmented reality, to ubiquitous robots, is now almost certain. The growth in these fields challenges the computational replication of all essential aspects of the human mind (the BICA Challenge), an endeavor which is interdisciplinary in nature and promises to yield bi-directional flow of understanding between all involved disciplines. Scope With the scope of BICA 2014 covering all areas of BICA-related research listed below, the major thrusts will be Perception, Attention, and Language. Here the key questions are: ? What can we learn from biological systems about how perception, attention, decision making, and action work together to produce intelligent behavior that is robust in natural environments? ? What have we learned about information flow in biological systems that can aid us in building better artificial systems that combine perception, action, language, learning, and decision making in robots and intelligent agents? ? What have we learned recently about information flow in the brain that can lead to better cognitive models that combine perception, attention, decision making, action, language, and learning? ? What role is played by emotions in perception, attention, decision making, language, and learning? ? How have we, or can we incorporate into cognitive architectures new evolving understandings about flow of information in biological cognitive systems? ? What mathematical foundations are emerging today that can support perception and learning? In addition to these focus topic areas of BICA 2014, we encourage submission of papers in all areas of BICA research, especially in the following areas. Neuroscience: .... Social, Economic and Educational Sciences: ... Cognitive Science: .... Artificial Intelligence: .... General: .... Format and Agenda The format of the conference is a 2.5-day meeting including paper presentations, panel discussions, invited talks, and demonstration showcases. Symposia and other mini-events (special sessions, breakout groups, brainstorms, think-tanks, socials, contests, and more) as part of the conference will be added as needed (proposals are solicited). In addition, BICA 2014 will host a special track "Doctorial Consortium" for which a "best student paper" award will be presented. We will also host technology demonstrations, for which we solicit proposals, and a poster session. We solicit additionally proposals for panel topics. The working language is English. As a part of our rich social and cultural program included in the registration, we are planning a Welcome Reception and a boat trip into the Atlantic on Saturday night, with a banquet on the boat. Detailed program is not available yet. Please see our separate pages for Confirmed symposia planned as part of BICA 2014 (we are asking for additional proposals). Submission and Publication Venues Publication venues include: (1) the Elsevier journal BICA - papers may be distributed among several journal issues; and (2) a volume of Procedia Computer Science, indexed by Web of Science and Scopus. One EasyChair submission site will be used for all categories of submissions, including (1), (2) and also (3): stand-alone abstracts that will be included in the conference program brochure, without being published. All submissions will undergo one round of peer-reviews. The category may be changed based on reviews. All conference materials (including papers and abstracts) will be together made available locally for conference participants (included in the registration package) via USB and/or the Internet. Invited speakers are not required, but are encouraged to submit papers or abstracts. Other participants can have presentations accepted based on an abstract only, without a paper submission. Core Organizing Committee Paul Robertson (DOLL, Inc.): General Chair Patrick H. Winston (CSAIL/MIT): Co-Chair Howard Shrobe (CSAIL/MIT): Co-Chair Alexei Samsonovich (GMU): Co-Chair, PC Chair Antonio Chella: OC Member Christian Lebiere: OC Member Kamilla R. Johannsdottir: OC Member Important Dates Proposals for Sub-Events: Symposia, Workshops and Socials - March 1 Doctoral Consortium Submit - May 05 Technology Demos - June 13 Panel Session Interest - June 27 Paper and Abstract Submission: Paper and abstract submission opens - March 1st Abstract and Paper Submission Due - May 26* Paper Review Feedback - June 14* Final Papers Due - August 01 Late-breaking stand-alone abstracts due - August 31 Registration and Conference: Early-bird registration (opens soon) due: June 17* Regular author-presenter registration due - June 27* Guest and non-presenting attendee online registration due - October 1 Sessions of the conference BICA 2014: November 7-9 *Deadlines extended as of April 28 **************************************************************** 10. Nengo Summer School, 8-21 June http://nengo.ca/summerschool [From Chris Eliasmith, the registration is long past, but it's worth noting that this is another cognitive architecture summer school, which might be repeated.] I thought you might have some acquaintances or students who would be interested to know that we're hosting a summer school this year. It will be on all things Nengo & SPA. We're encouraging people to bring projects and/or data they'd like to turn into a detailed model. We'll have a very good instructor/student ratio (1:2). It's more fully described here: http://nengo.ca/summerschool The application deadline was Feb 15. **************************************************************** 11. Summer School - Web Science & the Mind, 7-18 July, reg. still open http://www.summer14.isc.uqam.ca/ [This appears to be a standing event that might be useful to modellers] The Institut des Sciences Cognitives at UQAM (Montreal) is organising its fifth Summer School, this year on the topic of "Web Science and the Mind" * Topic includes social network analysis, semantic web, distributed cognition, ... * Scholarships (500$ + registration) * Call for posters * Can be worth 3 credits Please contact us with any questions or comments you may have: summer14.isc(a)uqam.ca Guillaume Chicoisne Institut des sciences cognitives, Montreal -------- The Fifth Summer School in Cognitive Sciences : Web Science and the Mind. Organized by the UQAM Cognitive Science Institute in Montreal (Canada), from July 7 to 18. Theme of the Summer Institute: Web Science and the Mind. This summer school will present a comprehensive overview of the interactions between the web and cognitive sciences, with topics ranging from social network analysis to distributed cognition and semantic web. The Summer School will feature a poster session. Information about this poster session is available at: http://www.summer14.isc.uqam.ca/page/affiche.php Deadline: April 11th 2014 Registration for the Summer School is open (''Early Bird'' Registration fees until May 9th). Note that the lowest fee is for students that will attend the Summer School as a credited activity (worth 3 university credits). Details: http://www.summer14.isc.uqam.ca/page/inscription.php Scholarships for travel, accomodation and/or registration will be available for students registered in a Quebec University (CREPUQ). http://www.summer14.isc.uqam.ca/page/bourses.php Want to stay in touch? Follow us on Twitter! @iscUQAM We hope to see you there in July. **************************************************************** 12. CFP for 2015 iConference in Newport Beach, CA, 24-27 March 2015 http://ischools.org/the-iconference/ papers due 5 sept 2014 [This is a potential outlet, particularly for models applied to information systems] [from CHI-announcements] Call for Participation, iConference 2015 http://ischools.org/the-iconference/ The iConference is an international gathering of scholars and researchers concerned with critical information issues in contemporary society. iConference 2015 (http://ischools.org/the-iconference/) takes place March 24-27 in Newport Beach, California. The following submissions are invited: *Submission Type* *Deadline* *Notification* Papers (http://ischools.org/the-iconference/program/papers/) Friday, September 5, 2014, midnight PDT mid-November Posters (http://ischools.org/the-iconference/program/posters/) Friday, October 10, 2014, midnight PDT mid-November Workshops (http://ischools.org/the-iconference/program/workshops/) Friday, September 26, 2014, midnight PDT Monday, October 27, 2014 Interactive Sessions (http://ischools.org/the-iconference/program/sessions-for-interaction-and-en…) Friday, October 10, 2014, midnight PDT mid-November Doctoral Colloquium: http://ischools.org/the-iconference/program/doctoral-colloquium/ Friday, September 12, 2014, midnight PDT Friday, October 24, 2014 Social Media Expo (http://ischools.org/the-iconference/program/social-media-expo/) Participation commitment letter due October 14, 2014; submissions due December 15, 2014. Thursday, January 15, 2015 Dissertation Award: http://ischools.org/the-iconference/program/dissertation-award/ Wednesday, October 15, 2014, midnight PDT Thursday, January 15, 2015 iConference 2015 is presented by the iSchools organization (http://ischools.org) and hosted by The Donald Bren School of Information and Computer Sciences at University of California, Irvine. All information researchers and scholars are welcome. Sample topics of past iConferences include the following: ? social computing ? human-computer interaction ? digital youth ? information retrieval ? network science ? digital humanities ? data science ? information economics ? information systems ? information policy ? knowledge infrastructures ? computational social science ? information work and workers ? user experience and design ? data, text and knowledge mining ? digital curation and preservation ? computer-supported cooperative work ? bibliometrics and scholarly communication ? social, cultural, health and community informatics ? information and communication technology for development -- Gary M. Olson (949) 824-0077 Department of Informatics gary.olson(a)uci.edu Bren School of Information and Computer Sciences University of California, Irvine Irvine, CA 92697-3440 **************************************************************** 13. Intl. Summer School in Cog. Sci., 30 Jun-11 July, Bulgaria http://nbu.bg/cogs/events/ss2014.html The 21st edition of the well-known International Summer School in Cognitive Science will take place during the two weeks from June 30th until July 11th at the New Bulgarian University, Sofia, Bulgaria. The summer school features advanced courses for graduate students and young researchers in a variety of areas, including embodied cognition and dynamic field theory, behavioral experimentation from reaction times to model testing, computational approaches to development, the cognitive science of social dilemmas, the epistemology of cognitive science and neuroscience, and a practical course on working with E-prime as a software tool for experiment design and implementation. The summer school will also feature a participant symposium (submit your brief papers to the school email below by June 9). Registration is now open. For more information, visit the school's website: http://nbu.bg/cogs/events/ss2014.html You can contact us at the following email address: school(a)cogs.nbu.bg **************************************************************** 14. 14th Neural Computation and Psychology Workshop, 21-23 Aug http://www.psych.lancs.ac.uk/ncpw14 NCPW14 Call for Papers - 14th Neural Computation and Psychology Workshop We cordially invite you to participate in the 14th Neural Computation and Psychology Workshop (NCPW14) to be held at Lancaster University, UK, from August 21-23, 2014: http://www.psych.lancs.ac.uk/ncpw14 This well-established and lively workshop aims at bringing together researchers from different disciplines such as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their work on models of cognitive processes. Often this workshop has had a theme, and this time it is 'Development across the lifespan', but also submissions that do not fall under this theme are welcome. Papers must be about emergent models - frequently, but not necessarily - of the connectionist/neural network kind, applied to cognition. The NCPW workshops have always been characterized by their limited size, high quality papers, the absence of parallel talk sessions, and a schedule that is explicitly designed to encourage interaction among the researchers present in an informal setting. NCPW14 is no exception. The scientific program will consist of keynote lectures, oral sessions and poster sessions. Furthermore, this workshop will feature a unique set of invited speakers: James McClelland, Stanford University. Bob McMurray, University of Iowa. Michael Thomas, Birkbeck College, London. Rumelhart Memorial Travel Awards The Rumelhart Memorial Travel awards, generously funded by Professor Jay McClelland, will provide funding to support travel costs for students/post docs presenting at the conference. Awards of US$250 are available to students or post docs from Western European countries, and US$750 for students or post docs from elsewhere. Decisions will be based on the quality of the submission. Eligibility criteria The first author of the submission is a PhD student or Post-doctoral fellow who will attend the meeting and will present the submission if chosen to receive a travel award. Location Lancaster is situated in the north west of England, approximately one hour from Manchester and Liverpool airports. Lancaster is surrounded by spectacular scenery, hiking and climbing country. The Yorkshire Dales national park is 10 miles away. The Lake District national park is 20 miles away, http://www.nationalparks.gov.uk. The stagecoach 555 bus (http://www.stagecoachbus.com) takes you directly from Lancaster through the heart of the Lakes. The Trough of Bowland Area of Outstanding Natural Beauty is 2 miles away. Important dates to remember Abstract deadline: 15 May Notification of abstract acceptance: 7 June Early registration deadline: tbc Online registration deadline: tbc Conference dates: 21-23 August, 2014 Looking forward to your participation! Organizing Committee Gert Westermann, Lancaster University Padraic Monaghan, Lancaster University Katherine E. Twomey, Liverpool University Alastair C. Smith, MPI Nijmegen -------------------------------------------------------------------------- Prof. Gert Westermann +44 (0)1524 592-942 Department of Psychology g.westermann(a)lancaster.ac.uk Lancaster University http://www.psych.lancs.ac.uk/people/gert-westermann Lancaster LA1 4YF **************************************************************** 15. AI for Human-Robot Interaction (AI-HRI), papers due 13 June 14 http://ai-hri.github.io/ AAAI Fall Symposium: AI for Human-Robot Interaction (AI-HRI) Nov 13-15, 2014 -- Arlington, VA http://ai-hri.github.io/ 2 page abstracts due June 13 Email as a pdf to: ai-hri-symposium-submissions(a)googlegroups.com This symposium will bring together and strengthen the community of researchers working on the AI challenges inherent to Human-Robot Interaction (HRI). Humans and human environments bring with them inherent uncertainty in dynamics, structure, and interaction. HRI aims to develop robots that are intelligent, autonomous, and capable of interacting with, modeling, and learning from humans. These goals are at the core of AI. The field of HRI is a broad community encompassing robotics, AI, HCI, psychology and social science. In this meeting we aim to specifically bring together the subset of this community that are focused on the AI problems of HRI. Currently this type of HRI work is seen across such a variety of venues (HRI, RSS, ICRA, IROS, Ro-Man, RoboCup, and more), that we lack a cohesive core community. Building this community is the central purpose of this symposium. Planned activities: - Keynote talks "How is HRI an AI problem?": We will have keynotes giving eight different perspectives about how AI research is going to bring us closer to the reality of humans interacting with robots on everyday tasks. - Breakout groups + panel discussions: these discussions will be focused on (1) defining a road map of grand challenges for this research area, and (2) what is the core venue for this community. - Poster session: This session will highlight state-of-the-art work and approaches to AI-HRI. - Team building: Given the diverse set of venues that this type of research is presented, it is very rare that members of the AI-HRI community get together in the same room. As such, a large part of this effort is to bring together a community of researchers, strengthen old connections and build new ones. Ample time will be provided for networking and informal discussions. Confirmed speakers: - Rodney Brooks - Cynthia Breazeal - Henrik Christensen - Maja Mataric - Manuela Veloso Important dates: - To have your work featured in the poster session, submit a two-page abstract by 13 June 14. Email your submission as a pdf to ai-hri-symposium-submissions(a)googlegroups.com - Decisions will be returned by July 11, 2014 - The symposium will be held Nov 13-15, 2014 in Arlington, VA. Organizing committee: - Andrea L. Thomaz, Georgia Institute of Technology (chair) - Kris Hauser, Indiana University - Chad Jenkins, Brown University - Maja J. Mataric, University of Southern California - Manuela Veloso, Carnegie Mellon University -- You received this message because you are subscribed to the Google Groups "HRI-announcement" group. To unsubscribe from this group and stop receiving emails from it, send an email to hri-announcement+unsubscribe(a)cs.byu.edu. For more options, visit https://groups.google.com/a/cs.byu.edu/d/optout. **************************************************************** 16. OpenWorm Kickstarter Campaign http://www.openworm.org [from Comp-neuro(a)neuroinf.org] [this is cool and interesting on several levels and ways] From: Shreejoy Tripathy <stripathy(a)chibi.ubc.ca> Date: Mon, 12 May 2014 11:31:07 -0700 To: comp-neuro(a)neuroinf.org, connectionists(a)mailman.srv.cs.cmu.edu Subject: [Comp-neuro] OpenWorm Kickstarter Campaign I'm writing to let you know about the OpenWorm Kickstarter Campaign (https://www.kickstarter.com/projects/openworm/openworm-a-digital-organism-i…) As you may know, the goal of the OpenWorm project is to digitally simulate a C. Elegans organism. By design, the project is organized in a geographically distributed fashion and all of the work is being done in the open (on GitHub and Youtube) using entirely open source code and public data. Though I'm not a worm researcher, I'm supporting OpenWorm's Kickstarter because I strongly believe in their overall mission. As a computational neuroscientist, I see the project as a necessary first step in the simulation of more complex organisms, including mice and ultimately humans. Moreover, I see my Kickstarter contribution as a future investment in the open source tools and methodologies that OpenWorm develops that I hope to eventually use in my own research. More philosophically, I think that lately the field of neuroscience has suffered from some amount of "overhype", especially given the initially promised outcomes of recent large-scale brain initiatives (e.g., recording from all neurons in a mammalian brain, simulating an entire human brain). While these projects have been hugely successful in catalyzing widespread public support of basic neuroscience research, many neuroscientists see these promises as perhaps a bridge too far given the current research state. Though OpenWorm's goals are itself highly ambitious, the relative simplicity of the worm (named neurons, stereotyped connectomes and musculature, the ability to image neuronal activity in vivo) lends itself well to this attempt. By conducting the project in the open and basing success on quantifiable goals (i.e., how similar are the simulated worm's movements and neural activity to experimental measurements), the project will serve as a roadmap for future endeavours in multi-scale data integration and organismal simulation. Lastly, the geographically distributed and highly interdisciplinary nature of the project makes it challenging to receive funding through traditional NIH-style mechanisms. For this reason, I'm asking you to join me in supporting the project's Kickstarter campaign. More information: OpenWorm Website: http://www.openworm.org Kickstarter campaign link: https://www.kickstarter.com/projects/openworm/openworm-a-digital-organism-i… Project overview by OpenWorm member and neuroscientist Jim Hokanson: http://jimandscience.blogspot.ca/2014/05/modeling-worm-thoughts-on-openworm… OpenWorm QandA on Reddit: http://www.reddit.com/r/science/comments/246dlw/science_ama_series_im_steph… Sincerely, Shreejoy Tripathy Post-doc and Developer of http://neuroelectro.org University of British Columbia Centre for High-Throughput Biology **************************************************************** 17. Numerous books to review If you would like to review a book, there are several books recently published that their publishers would give you a copy to facilitate a review in a magazine or journal. If you are interested, email me and I'll foward you to the publisher. Foundations for Designing User-Centered Systems: What system designers need to know about people, Frank Ritter, Gordon Baxter, & Elizabeth Churchill. (2014). Springer. http://www.frankritter.com/fducs/ Game Analytics: Maximizing the Value of Player Data [Hardcover] Magy Seif El-Nasr, Anders Drachen, Alessandro Canossa (Eds) http://www.amazon.com/Game-Analytics-Maximizing-Value-Player/dp/1447147685 http://www.springer.com/computer/hci/book/978-1-4471-4768-8 How to build a brain, A Neural Architecture for Biological Cognition Chris Eliasmith, OUP. http://nengo.ca/build-a-brain Minding Norms: Mechanisms and dynamics of social order in agent societies Rosaria Conte, Giulia Andrighetto, and Marco Campenni (eds) http://global.oup.com/academic/product/minding-norms-9780199812677? Social Emotions in Nature and Artifact Jonathan Gratch and Stacy Marsella (eds). http://global.oup.com/academic/product/social-emotions-in-nature-and-artifa… Running Behavioral studies with human participants Ritter, Kim, Morgan, & Carlson, Sage http://www.sagepub.com/textbooks/Book237263 **************************************************************** 18. Premodeling / HCI book FDUCs: What designers need to know about people http://www.frankritter.com/fducs/ We have published book that is in many ways an HCI book, its first use is as a Human-computer interaction textbook (it has been used in at least 4 universities), but it is also a modeling book -- It is designed to create models of users in designers heads. Foundations for Designing User-Centered Systems: What system designers need to know about people, Frank Ritter, Gordon Baxter, & Elizabeth Churchill. (2014). Springer. If your library subscribes to Springer link, you can get a pdf from there. If you want a desk copy, there are links from the site above to order one. If all else fails, contact me. I use it to teach HCI, as have several at other universities and several penn state campuses. **************************************************************** 19. New Society: The Society for Affective Science and Conference http://www.society-for-affective-science.org/conference A new society has been formed -- The Society for Affective Science. Its mission is to foster basic and applied research in the variety of fields that study affect, broadly defined. Our inaugural conference will be April 24-26, 2014 in Washington DC. This conference will be student-friendly, open, and theoretically and methodologically diverse. It will provide a forum for cross-cutting work in emotion, stress, and many other topics that fall under the broad umbrella of affective science. For more information see the society website: http://www.society-for-affective-science.org/ Program highlights for the first meeting can be found at: http://www.society-for-affective-science.org/conference/highlights/ As you will see, the first meeting features an invited program of talks in addition to a call for posters. We expect the program to shift to submissions as the society develops. Currently, the meeting is largely single tracked, and in addition to the invited addresses and presidential symposium, the program includes methodology lunches, salons with well-known affective scientists, and a debate to keep things lively. Please feel free to send this email to your students, postdocs, and colleagues. If you have questions, please email us at: info(a)society-for-affective-science.org **************************************************************** 20. $10k prize for best paper in Human Factors journal, due 2 June 14 http://www.hfes.org/web/pubpages/hfprize.html [this appears to becoming an annual prize, modeling papers get published in HF and there are modellers as editors and reviewers] Submit your research for the 2014 Human Factors Prize--You could win $10,000! The Human Factors and Ergonomics Society (HFES) welcomes your submission for the 2014 Human Factors Prize: Recognizing Excellence in Human Factors/Ergonomics Research. The best paper will receive: $10,000 cash award Publication in the Society's flagship journal, (http://content.news.sagepub.com/emessageIRS/servlet/IRSL?v=5&a=10050&r=2223…) Human Factors The 2014 topic is human-automation interaction/autonomy. We seek articles that describe human factors/ergonomics (HF/E) research that pertains to effective and satisfying interaction between humans and automation. Plan to submit your work between April 1 and June 2, 2014. Eligibility Requirements: Any researcher is eligible to submit relevant work; membership in HFES is not required. Submissions must cover original (unpublished) research in the topical area and comply with the requirements in the Human Factors (http://content.news.sagepub.com/emessageIRS/servlet/IRSL?v=5&a=10050&r=2223…) instructions for authors. Review articles and brief reports are not eligible. Submissions must not be received prior to April 1 or after June 2, 2014. To see examples of articles on subject matter similar to the 2014 Prize topic, visit the Human Factors Prize Web page (http://content.news.sagepub.com/emessageIRS/servlet/IRSL?v=5&a=10050&r=2223…) The award will be formally conferred at a special session at the HFES International Annual Meeting, where the recipient will present his or her work (http://content.news.sagepub.com/emessageIRS/servlet/IRSL?v=5&a=10050&r=2223…) Human Factors: The Journal of the Human Factors and Ergonomics Society (HFS) is a peer-reviewed journal presenting original works of scientific merit that contribute to the understanding and advancement of the systematic consideration of people in relation to machines, systems, tools, and environments. HFS highlights fundamental human capabilities, limitations, and tendencies, as well as the basics of human performance. Human Factors Impact Factor: 1.182 Ranked: 7/16 in Ergonomics | 21/44 in Engineering, Industrial | 39/72 in Psychology, Applied | 44/49 in Behavioral Sciences | 51/75 in Psychology Source: 2012 Journal Citation Reports(R) (Thomson Reuters, 2013) Questions? Contact HFES Communications Director Lois Smith at lois(a)hfes.org. We look forward to receiving your submission. **************************************************************** 21. Post doctoral Scholar in Systems Neuroscience and Connectivity Modeling http://www.la.psu.edu/facultysearch/ [this was announced in February, but is still up on the web site] Post doctoral Scholar in Systems Neuroscience and Connectivity Modeling Job Number: 41202 Affirmative Action Search No. #: 021-320 Department: Psychology Rank: Post Doc Announcement: We are seeking a highly motivated Postdoctoral Scholar in the area of clinical/cognitive neuroscience, brain imaging, and network modeling. The successful candidate will work in collaboration with investigators at The Pennsylvania State University including Dr. Hillary in Psychology, Dr. Reka Albert in Physics and Dr. Peter Molenaar in Human Development and Family Studies. The goals of the research focus on time series analysis, graph theory, and connectivity modeling of human brain imaging data (high density EEG, BOLD fMRI). The primary responsibility of this position is to facilitate ongoing research examining neural plasticity after severe traumatic brain injury in humans. There is also keen interest for this position to support the development of novel methods for understanding plasticity from a systems neuroscience perspective. This includes prospective data collection as well as analysis of existing data sets. Current lab goals aim to focus on issues regarding: 1) signal processing (i.e., non-stationarity in time series data; cross-frequency coupling), 2) large scale connectivity analysis (e.g., graph theory), 3) machine learning, and 4) novel methods isolating regions of interest. A Doctorate (M.D. and/or Ph.D.) degree is required by the appointment date. Excellent verbal and written communication skills and a background in computational modeling (broadly defined) is required and programming experience is preferred. Review of applications will begin in February and continue until the position is filled. The appointment is for two years with a tentative start date flexible. To apply, submit cover letter, curriculum vita, and the names and contact information for three references through http://www.la.psu.edu/facultysearch/ For additional information, contact Frank G. Hillary, fhillary(a)psu.edu. Employment will require successful completion of background check(s) in accordance with University policies. Penn State is committed to affirmative action, equal opportunity and the diversity of its workforce. **************************************************************** -30-

May 29, 2014

Re: [Comp-neuro] Deep Learning Overview - Draft

by Juergen Schmidhuber

Dear computational neuroscientists, thanks a lot for numerous helpful comments! This was great fun; I learned a lot. A revised version (now with 850+ references) is here: http://arxiv.org/abs/1404.7828 PDF: http://www.idsia.ch/~juergen/DeepLearning28May2014.pdf LATEX source: http://www.idsia.ch/~juergen/DeepLearning28May2014.tex The complete BIBTEX file is also public: http://www.idsia.ch/~juergen/bib.bib Please do NOT reply to the entire list (only to juergen(a)idsia.ch) Juergen Schmidhuber http://www.idsia.ch/~juergen/deeplearning.html ---Revised Table of Contents:--- 1 Introduction to Deep Learning (DL) in Neural Networks (NNs) 2 Event-Oriented Notation for Activation Spreading in Feedforward NNs (FNNs) and Recurrent NNs (RNNs) 3 Depth of Credit Assignment Paths (CAPs) and of Problems 4 Recurring Themes of Deep Learning 4.1 Dynamic Programming for Supervised / Reinforcement Learning (SL / RL) 4.2 Unsupervised Learning (UL) Facilitating SL and RL 4.3 Learning Hierarchical Representations Through Deep SL, UL, RL 4.4 Occam’s Razor: Compression and Minimum Description Length (MDL) 4.5 Fast Graphics Processing Units (GPUs) for DL in NNs 5 Supervised NNs, Some Helped by Unsupervised NNs 5.1 Early NNs Since the 1940s (and the 1800s) 5.2 Around 1960: Visual Cortex Provides Inspiration for DL 5.3 1965: Deep Networks Based on the Group Method of Data Handling (GMDH) 5.4 1979: Convolution + Weight Replication + Subsampling (Neocognitron) 5.5 1960-1981 and Beyond: Development of Backpropagation (BP) for NNs 5.5.1 BP for Weight-Sharing Feedforward NNs (FNNs) and Recurrent NNs (RNNs) 5.6 Late 1980s-2000: Numerous Improvements of NNs 5.6.1 Ideas for Dealing with Long Time Lags and Deep CAPs 5.6.2 Better BP Through Advanced Gradient Descent 5.6.3 Searching For Simple, Low-Complexity, Problem-Solving NNs 5.6.4 Potential Benefits of UL for SL 5.7 1987: UL Through Autoencoder (AE) Hierarchies 5.8 1989: BP for Convolutional NNs (CNNs) 5.9 1991: Fundamental Deep Learning Problem of Gradient Descent 5.10 1991: UL-Based History Compression Through a Deep Hierarchy of RNNs 5.11 1992: Max-Pooling (MP): Towards MPCNNs 5.12 1994: Early Contest-Winning NNs 5.13 1995: Supervised Recurrent Very Deep Learner (LSTM RNN) 5.14 2003: More Contest-Winning/Record-Setting NNs 5.15 2006/7: UL For Deep Belief Networks (DBNs) / AE Stacks Fine-Tuned by BP 5.16 2006/7: Improved CNNs / GPU-CNNs / BP-Trained MPCNNs / LSTM Stacks 5.17 2009: First Official Competitions Won by RNNs, and with MPCNNs 5.18 2010: Plain Backprop (+Distortions) on GPU Yields Excellent Results 5.19 2011: MPCNNs on GPU Achieve Superhuman Vision Performance 5.20 2011: Hessian-Free Optimization for RNNs 5.21 2012: First Contests Won on ImageNet & Object Detection & Segmentation 5.22 2013-: More Contests and Benchmark Records 5.23 Currently Successful Supervised Techniques: LSTM RNNs / GPU-MPCNNs 5.24 Recent Tricks for Improving SL Deep NNs (Compare Sec. 5.6.2, 5.6.3) 5.25 Consequences for Neuroscience 5.26 DL with Spiking Neurons? 6 DL in FNNs and RNNs for Reinforcement Learning (RL) 6.1 RL Through NN World Models Yields RNNs With Deep CAPs 6.2 Deep FNNs for Traditional RL and Markov Decision Processes (MDPs) . 6.3 Deep RL RNNs for Partially Observable MDPs (POMDPs) 6.4 RL Facilitated by Deep UL in FNNs and RNNs 6.5 Deep Hierarchical RL (HRL) and Subgoal Learning with FNNs and RNNs 6.6 Deep RL by Direct NN Search / Policy Gradients / Evolution 6.7 Deep RL by Indirect Policy Search / Compressed NN Search 6.8 Universal RL On May 15, 2014, at 3:36 PM, Juergen Schmidhuber <juergen(a)idsia.ch> wrote: > Dear computational neuroscientists, > > here the preliminary draft of an invited Deep Learning overview: > > http://www.idsia.ch/~juergen/DeepLearning15May2014.pdf > > It mostly consists of references (about 800 entries so far). Important citations are still missing though. As a machine learning researcher, I am obsessed with credit assignment. In case you know of references to add or correct, please send them with brief explanations to juergen(a)idsia.ch (NOT TO THE ENTIRE LIST!), preferably together with URL links to PDFs for verification. Please also do not hesitate to send me additional corrections / improvements / suggestions / Deep Learning success stories with feedforward and recurrent neural networks. I'll post a revised version later. Thanks a lot! > > Abstract. In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarises relevant work, much of it from the previous millennium. Shallow and deep learners are distinguished by the depth of their credit assignment paths, which are chains of possibly learnable, causal links between actions and effects. I review deep supervised learning (also recapitulating the history of backpropagation), unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks. > > Juergen Schmidhuber > http://www.idsia.ch/~juergen/ > http://www.idsia.ch/~juergen/whatsnew.html

May 29, 2014

Postdoc in Neuromechanics and Optogenetics at Temple University

by Andrew Spence

Dear colleagues, We have the following postdoc position available within the Spence Lab, Department of Bioengineering, at Temple University in Philadelphia, USA. See www.spencelab.com for information about the group. Cheers! Andrew Spence Have you ever wondered how legged animals manage to move with dexterity, economy, and robustness over challenging terrain? Or how information from sense organs in different parts of your body is used when you move quickly? Have you heard about some of the new neurogenetic technologies, like optogenetics, that are making it possible for us to switch on and off specific parts of the nervous system with light? Members of the Spence Lab are working to answer these questions, using cutting edge techniques including optogenetics, computer vision, and robotics. We aim to explore and examine, as much as possible, freely behaving animals, with an increasing focus on mice. The Spence Lab invites applications from prospective postdocs from a wide range of backgrounds, including neuroscience, biomechanics, physics, physiology, engineering, computer science, and robotics. This postdoc is a three-year Army Research Office funded position that will use optogenetic tools in mice to understand how the structure of the quadrupedal gait controller, and sensory feedback from the limbs, facilitate dynamic locomotion. The Department of Bioengineering at Temple University is a brand new department with newly renovated facilities, and the Spence Lab is investing in state of the art equipment. Temple University lies in Philadelphia, a city known for it's restaurants and vibrant culture, housing a large number of universities, and with excellent links to New York City (two hours away) and Washington DC (2.5 hours away). For further information on the group and it's current activities, please visit www.spencelab.com If you are interested and qualified, please send a cover letter, CV, transcripts and relevant publications to aspence(a)temple.edu. The position is available until filled. Dr. Andrew Spence Associate Professor Department of Bioengineering Engineering Building Room 814 College of Engineering Temple University 1947 N. 12th St. Philadelphia, PA 19122 Phone: 215-204-3056 Email: aspence(a)temple.edu www.spencelab.com <http://www.spencelab.com/>

May 28, 2014