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Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes Jan. 17, 2015

Jan. 17, 2015

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/ : Uncertainty Propagation in Nerve Impulses Through the Action Potential Mechanism Torres Valderrama A, Witteveen J, Navarro M and Blom J http://www.mathematical-neuroscience.com/content/5/1/3<http://www.mathematical-neuroscience.com/content/4/1/13> Coarse-Grained Clustering Dynamics of Heterogeneously Coupled Neurons Moon SJ, Cook KA, Rajendran K, Kevrekidis IG, Cisternas J and Laing CR http://www.mathematical-neuroscience.com/content/5/1/2 Shifting Spike Times or Adding and Deleting Spikes—How Different Types of Noise Shape Signal Transmission in Neural Populations Voronenko SO, Stannat W and Lindner B http://www.mathematical-neuroscience.com/content/5/1/1 Numerical Bifurcation Theory for High-Dimensional Neural Models Laing CR http://www.mathematical-neuroscience.com/content/4/1/13 Adaptation and Fatigue Model for Neuron Networks and Large Time Asymptotics in a Nonlinear Fragmentation Equation Pakdaman K, Perthame B and Salort D http://www.mathematical-neuroscience.com/content/4/1/14 and see also the recent Special Issue on Uncertainty and the Brain http://www.mathematical-neuroscience.com/series/UB 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.

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CNS 2015: Abstract Submission and Registration opens
by Tam, Nicoladie Jan. 17, 2015

Jan. 17, 2015

Organization for Computational Neurosciences (OCNS) 24th Annual Meeting Prague, Czech Republic July 18-23, 2015 The main meeting (July 19-21) will be preceded by a day of tutorials (July 18) and followed by two days of workshops (July 22-23). Invited Keynote Speakers: Jack Cowan, University of Chicago, USA Gustavo Deco, Universitat Pompeu Fabra, Spain Adrienne Fairhall, University of Washington, USA Wulfram Gerstner, EPFL, Switzerland Registration will open on January 14, 2015. Abstract submission will open on January 15, 2015 and close on February 22. Workshop proposals are now being accepted. Note that one of the authors has to register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. For up-to-date conference information, please visit http://www.cnsorg.org/cns-2015-prague ---------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org

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CoSMo 2015 summer school announcement
by Gunnar Blohm Jan. 16, 2015

Jan. 16, 2015

*Fifth Annual Computational Sensory-Motor Neuroscience Summer School (CoSMo 2015)* Radboud University Nijmegen, The Netherlands June 28 - July 11, 2015 We would like to invite you to join us for the fifth annual Computational Sensory-Motor Neuroscience Summer School. The course is about experimental, computational and medical aspects of sensory-motor neuroscience with a focus on active learning. Covered topics include multi-sensory integration, motor learning & control, computational methods, sensory-motor transformations and neural coding / decoding. An important focus is on doing research as opposed to just hearing about it. Each teaching module will take up two days with morning lecture sessions. Afternoon sessions involve hands-on Matlab programming, simulation and data-analysis. Newly acquired computational tools can also be applied in 2-week evening group research projects. The course is aimed at students and post-doctoral fellows from diverse backgrounds including Life Sciences, Psychology, Computer Science, Physics, Mathematics and Engineering. Basic knowledge in calculus, linear algebra and Matlab is expected. Enrollment will be limited to 40 trainees. *Application deadline: Mar 15, 2015* For more information and to apply, please go to http://www.compneurosci.com/CoSMo/ The school is co-organized by Drs Gunnar Blohm, Paul Schrater, John van Opstal, Pieter Medendorp and Konrad Körding. This year, it receives funding from the EU FP7 Marie-Curie IDP Training Network /HealthPAC/, and the Perception, Action and Control research network of the Donders Institute at Radboud University Nijmegen. -- ------------------------------------------------------- Dr. Gunnar BLOHM Associate Professor in Computational Neuroscience Association for Canadian Neuroinformatics and Computational Neuroscience (CNCN) Centre for Neuroscience Studies, Departments of Biomedical and Molecular Sciences, Mathematics & Statistics, and Psychology, School of Computing, and Canadian Action and Perception Network (CAPnet) Queen’s University 18, Stuart Street Kingston, Ontario, Canada, K7L 3N6 Tel: (613) 533-3385 Fax: (613) 533-6840 Email: Gunnar.Blohm(a)QueensU.ca Web: http://www.compneurosci.com/

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New funding opportunity: Machine Intelligence from Cortical Networks (MICrONS) Program
by R. Jacob Vogelstein Jan. 16, 2015

Jan. 16, 2015

I am pleased to announce the release of the Machine Intelligence from Cortical Networks (MICrONS) program Broad Agency Announcement (BAA). MICrONS seeks to revolutionize machine learning by reverse-engineering the algorithms of the brain. The program is expressly designed as a dialogue between data science and neuroscience, in which participants will have the unique opportunity to pose biological questions with the greatest potential to advance theories of neural computation and obtain answers through carefully planned experimentation and data analysis. Over the course of the program, participants will use their improving understanding of the representations, transformations, and learning rules employed by the brain to create ever more capable neurally-derived machine learning algorithms. Ultimate computational goals for MICrONS include the ability to perform complex information processing tasks such as one-shot learning, unsupervised clustering, and scene parsing, aiming towards human-like proficiency. The program overview is copied below; the full text of the announcement (and any future versions) is available from the BAA link at http://www.iarpa.gov/index.php/research-programs/microns/microns-baa. All questions about the program and/or BAA must be submitted to dni-iarpa-baa-14-06(a)iarpa.gov by February 9, 2015. Full proposals must be submitted through the IARPA IDEAS <https://iarpa-ideas.gov> system by March 13, 2015. *Do not *send any questions or proposal submissions to me directly. Please disseminate this information widely. Offerors need not be U.S. citizens or residents to apply or receive funding. Thank you, Jacob R. Jacob Vogelstein, Ph.D. Program Manager ODNI/IARPA http://go.usa.gov/FPPJ -------------------------------------------------------- Introduction Despite significant progress in machine learning over the past few years, today’s state of the art algorithms are brittle and do not generalize well. In contrast, the brain is able to robustly separate and categorize signals in the presence of significant noise and non-linear transformations, and can extrapolate from single examples to entire classes of stimuli. This performance gap between software and wetware persists despite some correspondence between the architecture of the leading machine learning algorithms and their biological counterparts in the brain, presumably because the two still differ significantly in the details of operation. The MICrONS program is predicated on the notion that it will be possible to achieve major breakthroughs in machine learning if we can construct synthetic systems that not only resemble the high-level blueprints of the brain, but also employ lower-level computing modules derived from the specific computations performed by cortical circuits. Background Many contemporary theories of cortical computing suggest that the brain performs common sensory information processing tasks—such as detection and recognition of visual objects, sounds, and odors—with algorithms that progressively transform data through a series of operations, or “stages.” Each stage of processing is further theorized to occur within a discrete region of cortex. Although different theories suggest different mathematical bases for computation, it is commonly believed that neural algorithms employ data representations, transformations, and learning rules that are conserved across stages. <#14ae94b7b82a2eef_14ae94551cb4b667_14ae942f2d046d85_14acb3be21100ccb__ftn1> It should therefore be possible to apprehend the neural computations underlying information processing (at least within a given sensory modality <#14ae94b7b82a2eef_14ae94551cb4b667_14ae942f2d046d85_14acb3be21100ccb__ftn2>) by interrogating a small fraction of the entire cortex, so long as that fraction is judiciously selected to contain sufficient evidence of the representations, transformations, and learning rules of the algorithm(s) to which it contributes. Neuroscience has a long history of inspiring innovation in machine learning, starting with the seminal work of McCulloch and Pitts in 1943. This influence is evident even in today’s state of the art “deep learning” systems, which are loosely modeled on hierarchical visual processing systems in the primate brain. However, the rate of effective knowledge transfer between neuroscience and machine learning has been slow because of divergent scientific priorities, funding sources, knowledge repositories, and lexicons. As a result, very few of the ideas about neural computing that have emerged over the past few decades have been incorporated into modern machine learning algorithms. Previous attempts to foster collaboration between neuroscience and machine learning have been stymied in part by gaps in our knowledge about the brain. The majority of what is known about the brain today regards its operation at the “micro” scale (one or a few neurons) and the “macro” scale (hundreds of thousands or millions of neurons), and some of this information is indeed reflected in the design of leading artificial neural networks. In contrast, much less is known about the “mesoscale” cortical circuits (hundreds to tens of thousands of neurons) that implement the specific data representations, transformations, and learning rules of cortical information processing algorithms, and these are therefore absent from (or speculative in) existing machine learning solutions. It is likely that explicit knowledge and use of these computations is required to move beyond the current generation of “neurally-inspired” machine learning algorithms. Program Synopsis The MICrONS program aims to create novel machine learning algorithms that use neurally-inspired architectures *and* mathematical abstractions of the representations, transformations, and learning rules employed by the brain to achieve brain-like performance. To guide the construction of these algorithms, performers will conduct targeted neuroscience experiments that interrogate the operation of mesoscale cortical computing circuits, taking advantage of emerging tools for high-resolution structural and functional brain mapping. The program is designed to facilitate iterative refinement of algorithms based on a combination of practical, theoretical, and experimental outcomes: performers will use their experiences with the algorithms’ design and performance to reveal gaps in their understanding of cortical computation, and will collect specific neuroscience data to inform new algorithmic implementations that address these limitations. Ultimately, as performers incorporate these insights into successive versions of the machine learning algorithms, they will devise solutions that can perform complex information processing tasks aiming towards human-like proficiency. Program Structure MICrONS is organized in three phases, totaling five years in duration. During each phase, performers conduct targeted neuroanatomical and neurophysiological studies to inform their understanding of the cortical computations underlying sensory information processing and, concurrently, create neurally-derived machine learning algorithms that perform similar functions. Performers motivate their experimental and algorithmic designs by formulating and updating a conceptual model or “theoretical framework” for neural information processing in a given sensory modality. They use computational neural models (i.e., executable mathematic or algorithmic simulations of neurons and neural circuits) to establish a correspondence between the computations performed by biological wetware and the computations employed by their machine learning software. Each phase ends with an information processing challenge that assesses how well the new algorithms perform on increasingly challenging machine learning tasks: similarity discrimination in Phase 1, generalization and classification in Phase 2, and invariant recognition in Phase 3. Performers use the results of their experiments in each phase to guide their development of improved algorithms in the subsequent phase (in Phase 1, performers base their algorithms on the existing neuroscience literature). Technical Areas The MICrONS program comprises three Technical Areas (TAs). Although IARPA anticipates receiving a number of holistic proposals responding to all three TAs, it recognizes that some prospective offerors may have capabilities in only a subset of the overall program scope, and wishes to maximize its opportunity to leverage these capabilities. Therefore, offerors may choose to propose to one, two, or all three TAs. Because achieving MICrONS program goals will require significant collaboration across all three TAs, offerors who propose to only one or two TAs should be prepared to work closely with performers in the remaining TAs. The TAs in MICrONS are defined as follows: · TA1 – experimental design, theoretical neuroscience, computational neural modeling, machine learning, neurophysiological data collection, and data analysis; · TA2 – neuroanatomical data collection; and · TA3 – reconstruction of cortical circuits from neuroanatomical data and development of information technology systems to store, align, and access neural circuit reconstructions with the associated neurophysiological and neuroanatomical data. Success in the MICrONS program will require extensive communication and cooperation between performers in all three TAs within or across teams. For example, in TA2, performers must collect neuroanatomical data about the same brain regions *in the same brain specimens* that are used in TA1 for neurophysiological studies; in TA3, performers must reconstruct neural circuits from the data collected in TA2; and in TA1, performers must analyze the neural circuits generated in TA3 and use the resulting insights in formulating their machine learning algorithms and theoretical frameworks. All offerors are therefore required to include in their proposal a detailed management plan and a detailed description of how their proposed technical approach in one or more TAs is likely to impact the other TAs.

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Bernstein Conference 2015: Call for Workshops
by Seeger, Simone Jan. 16, 2015

Jan. 16, 2015

The National Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops directly preceding the Bernstein Conference 2015 in Heidelberg ********************************************************************************** Call for Workshop proposals: Workshops: September 14, 2015 (Main Bernstein Conference: September 15-17, 2015) Deadline of proposal submission: March 15, 2015 Notification of acceptance: April 20, 2015 Conference Registration starts: April 27, 2015 Early Registration Deadline: July 21, 2015 ********************************************************************************** The Bernstein Conference started out as the annual meeting of the National Bernstein Network Computational Neuroscience and has become the largest single-track Computational Neuroscience conference in Europe in recent years. Since 2013, the Bernstein Conference hosts pre-conference workshops, which have developed swiftly into a well-attended event. They supply a stage to debate topical research questions and challenges in Computational Neuroscience and related fields, different points of view and scientific approaches in an informal setting. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. SCHEDULE: September 14, 2015, 9:00 - 18:30. You may apply for either half-day or full-day workshops. Workshop costs: The Bernstein Conference does not provide financial support, but workshop organizers and speakers are offered free workshop registration and reduced fees for the main conference. For further information about the conference, please visit the conference website<http://www.bernstein-conference.de>. DETAILS FOR WORKSHOP PROPOSALS: The Workshop Proposal form can be downloaded here<http://www.nncn.de/de/bernstein-conference/2015/satellite-workshops/worksho…>. Deadline for submission of Workshop Proposals: March 15, 2015 We are looking forward to meeting you in Heidelberg! THE WORKSHOP PROGRAM COMMITTEE *** 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/>

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Call for Papers - IJCAI15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models
by Alessandro Antonucci Jan. 16, 2015

Jan. 16, 2015

IJCAI15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models Buenos Aires, July 25-27, 2015 - http://ipg.idsia.ch/wijcai15/ FIRST CALL FOR PAPERS Probabilistic graphical models are important tools in machine learning and artificial intelligence for reasoning with uncertainty. They provide means to represent large multivariate domains compactly and to perform sophisticated learning and reasoning efficiently. Examples of probabilistic graphical models are Bayesian networks, Markov Random fields, chain and factor graphs, Gaussian graphical models, to name but a few. The quantification of these models usually requires sharp (i.e., precise) assessments of the model local potentials and might be subject to robustness issues. For instance, perturbations of some parameter values may lead to different decisions from those which would be achieved by the unperturbed model, suggesting that decisions are not reliable. Reliability might also be in question because of missing data and assumptions behind the process. The workshop invites submissions of papers on all aspects of sensitivity analysis and robustness in probabilistic graphical models. Contributions may have a theoretical focus and/or an applied focus. A non-exhaustive list of topics follows. - Local and/or global sensitivity analysis. - Parameter-based and/or decision-based sensitivity analysis. - Design of robust learning, inference and/or decision making approaches. - Robust analysis and design of robustness measurements. - Extensions of probabilistic graphical models. - Reliable qualitative learning and reasoning. - Robust treatment of missing data. - Imprecise probability and other theories related to sensitivity analysis. - Computational complexity, exact and approximate algorithms. Each submission will be reviewed by peers using a double-blind process (please use the third person in self citations and take all necessary care not to identify yourselves). Accepted papers will be published electronically in a volume of the JMLR Workshop and Conference Proceedings series. There will be no rebuttal phase, but contributions considered worth publishing and needing substantial revision might be subject to a second round of reviewing/evaluation. All accepted papers will be presented at the workshop. At least one of the paper's authors should register and attend the workshop to present the work. Submissions must be formatted according to style and template files available for the Journal of Machine Learning Research (JMLR) Workshop and Conference Proceedings - two-column version. The style files are available at http:/ipg.idsia.ch/wijcai15/sarpgm15.tar.gz Papers (including figures, tables, references, etc) are expected to have between 6 and 10 pages. IMPORTANT DATES Apr 27, 2015 - Deadline for submissions of contributions May 20, 2015 - Workshop paper acceptance notification May 30, 2015 - Deadline for workshop camera-ready copy (in case of minor revision; contributions needing major revision might need additional time - this will be arranged case by case) PC MEMBERS Alessandro Antonucci*, IDSIA, Switzerland. Alessio Benavoli, IDSIA, Switzerland. Cassio P. de Campos*, Queen's University Belfast, UK. Arthur Choi, University of California, Los Angeles, USA. Giorgio Corani*, IDSIA, Switzerland. Fabio Cozman, University of Sao Paulo, Brazil. Adnan Darwiche, University of California, Los Angeles, USA. Sebastien Destercke, Univ. de Technologie de Compiegne, France. Marek Druzdzel, University of Pittsburgh, USA. Johan Kwisthout, Radboud University Nijmegen, The Netherlands. Agnieszka Onisko, Bialystok University of Technology, Poland. Denis Maua, University of Sao Paulo, Brazil. Serafin Moral, Universidad de Granada, Spain. Silja Renooij, Universiteit Utrecht, The Netherlands. Matthias Troffaes, University of Durham, UK. (*: Workshop organizers.) More details about the submission procedure are available online. http://ipg.idsia.ch/wijcai15/ ++++++++++++++++++++++++++++++++++++++++ (We apologize in case you receive multiple copies of this announcement, but yet we hope to reach the greatest possible number of people. Finding a trade-off is not an easy task.) -- _________________________________ Alessandro Antonucci IDSIA Dalle Molle Institute for Artificial Intelligence Via Cantonale (Galleria 2) CH-6928, Manno-Lugano, CH mail: alessandro(a)idsia.ch skype: alessandro.antonucci tel: +41 916108515 web: www.idsia.ch/~alessandro _________________________________

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Connectionists: Call for Papers (Extended Deadline to 5 Feb 2015): IEEE IJCNN'2015 Special Session on: "Emerging Methodologies for Big Data Integration"
by Dr Amir Hussain Jan. 15, 2015

Jan. 15, 2015

CALL FOR PAPERS IEEE IJCNN 2015 Special Session on *"*Emerging Methodologies for Big Data Integration*"* July 12 - 17, 2015, Killarney, Ireland ( http://www.ijcnn.org/ ) ************************************************************************************** Important Announcement *************************************************************************************** Due to numerous requests, the IJCNN has kindly agreed to extend all paper submission deadlines to February 5th, 2015. ************************************************************************************* NEW: IMPORTANT DATES (REVISED) EXTENDED DEADLINE for Paper submission: February 5th, 2015 Paper Decision notification: March 25th, 2015 Camera-ready submission: April 25th, 2015 Conference Dates: July 12 - 17th, 2015 *********************************************************** Over the years, huge quantities of data have been generated by large-scale scientific experiments (biomedical, “omic”, imaging, astronomical, etc.), big industrial companies and on the web. One of the main characteristics of such Big Data is that they are multi-view, i.e. there are multiple sources (in the “omics” sciences, experiments related to mRNA, miRNA etc.), relate the same patterns (in this case patients) or multi-domain (in biomedical applications for examples, “omics, imaging and clinical data). As a consequence, new methodologies based on neural networks, machine and statistical learning, computation Intelligence and others, have been proposed to integrate these kinds of big data and to elicit relevant information to infer novel models and correlations. The aim of the special session is to solicit new approaches to real world scientific and industrial big data integration, as well as applications of above mentioned Big Data methodologies. *Topics** Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics: Multi-view learning Multi-view clustering data fusion data integration multi-view data applications multi domain data applications THE DEADLINE FOR THE PAPER SUBMISSION TO THE SPECIAL SESSION IS THE SAME OF IJCNN 2015, January 15th 2015. All the submissions will be peer-reviewed with the same criteria used for other contributed papers. Perspective authors will submit their papers through the IJCNN2015 conference submission system at http://www.ijcnn.org/ Please make sure to select the Special Session "Emerging Methodologies for Big Data Integration " from the "S. SPECIAL SESSION TOPICS" name in the "Main Research topic" dropdown list; Templates and instructions for authors will be provided on the IJCNN webpage http://www.ijcnn.org/ All papers submitted to the special sessions will be subject to the same peer-review procedure as regular papers, accepted papers will be published in the conference proceedings. Further information about IJCNN 2015 can be fond at http://www.ijcnn.org/ and about the special session at http://neuronelab.unisa.it/emerging-methodologies-for-big-data-integration/ We look forward to seeing you soon in Kilarney! *********************************************************** **Organizers** - Amir Hussain Professor of Computing Science and founding Director of the Cognitive Signal-Image Processing and Control Systems Research (COSIPRA) Laboratory, University of Stirling, UK (E-mail: ahu(a)cs.stir.ac.uk http://cs.stir.ac.uk/~ahu) - Giovanni Montana Professor and Chair in Biostatistics and Bioinformatics, Biomedical Engineering Department, King’s College, London, UK (E-mail: giovanni.montana(a)kcl.ac.uk) - Francesco Carlo Morabito Professor and Chair of the Neurolab, Dipartimento DICEAM, Università Mediterranea di Reggio Calabria, Italy (E-mail: morabito(a)unirc.it) - Roberto TAGLIAFERRI Professor and Chair of the Neuronelab, Dipartimento di Informatica, Università di Salerno, Italy (E-mail: robtag(a)unisa.it) **Technical Program Committee (being continuously updated)** Elia Mario Biganzoli, Università di Milano, Italy Erik Cambria, NTU, Singapore Ciro Donalek, Caltech, CA, USA Anna Esposito, Seconda Università di Napoli, Italy Marcos Faundez-Zanuy, Escola Universitaria Politecnica de Mataro (Tecnocampus), Spain Alexander Gelbukh, National Polytechnic Institute, Mexico Dario Greco, FIOH, Finland Newton Howard, MIT Media Lab, USA Pietro Liò, University of Cambridge, UK Bin Luo, Anhui University, China Mufti Mahmud, Antwerp University, Belgium Riccardo Rizzo, CNR, Italy Jingpeng Li, University of Stirling, UK Domenico Ursino, Università Mediterranea di Reggio Calabria, Italy Alfredo Vellido, Universidad Politécnica de Cataluña, Spain Pierangelo Veltri, Università "Magna Graecia" di Catanzaro, Italy Jonathan Wu, University of Windsor, Canada Yunqing Xia, Tsinghua University, China Kang Li, Queen's University, Belfast, UK Dongbing Gu, Essex University, UK Vincent C. Müller, Anatolia College/ACT, Greece & Oxford University, UK Dongbin Zhao, Chinese Academy of Sciences, Beijing, China Paulo Lisboa, Liverpool John Moores University, UK ************************************************************************************** -- 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.

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Postdoctoral and PhD positions in computational neuroscience at Harvard
by Haim Sompolinsky Jan. 15, 2015

Jan. 15, 2015

Dear colleagues, I have several openings for research in computational neuroscience at the doctoral and postdoctoral levels. See the following announcement. Best, Haim Opportunities in Theoretical Neuroscience Doctoral and Postdoctoral Opportunities in Theoretical Neuroscience I am seeking doctoral and postdoctoral associates for research on theoretical neuroscience projects. Creativity, analytical and numerical skills, drive, and a background in physics, computational neuroscience, applied mathematics, or computer science are expected. Research topics span a broad range of topics dealing with the principles underlying the links between neuronal circuits' structure, dynamics, behavior and cognition. Positions are available for work in the Swartz theoretical neuroscience group at Harvard http://cbs.fas.harvard.edu/ <http://cbs.fas.harvard.edu/> . Please submit your application including CV, list of publications and names of three possible referees to Prof. Haim Sompolinsky: haim(a)fiz.huji.ac.il <mailto:haim@fiz.huji.ac.il>. -- Haim Sompolinsky The Hebrew University For research positions, see: http://neurophysics.huji.ac.il/Opportunities

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CFP: HRI 2015 Workshop on “Cognition: A Bridge between Robotics and Interaction”
by Yukie Nagai Jan. 14, 2015

Jan. 14, 2015

============================================================ Workshop “Cognition: A Bridge between Robotics and Interaction”, at HRI 2015, Portland (OR) USA ============================================================ March 2, 2015 Submission deadline: January 20, 2015 Notification of acceptance: January 30, 2015 website: http://www.macs.hw.ac.uk/~kl360/HRI2015W/ ============================================================ INVITED SPEAKERS: - Prof. David Vernon, Sk?vde University - Prof. Andrew Meltzoff, University of Washington INVITED PANELISTS: - Prof. Giulio Sandini, Italian Institute of Technology - Prof. Minoru Asada, Osaka University A key feature of humans is the ability to anticipate what other agents are going to do and to plan accordingly a collaborative action. This skill, derived from being able to entertain models of other agents, allows for the compensation for intrinsic delays of human motor control and is a primary support to allow for efficient and fluid interaction. Moreover, the awareness that other humans are cognitive agents who combine sensory perception with internal models of the environment and others, enables easier mutual understanding and coordination. Cognition represents therefore an ideal link between different disciplines, as the field of Robotics and that of Interaction studies, performed by neuroscientists and psychologists. From a robotics perspective, the study of cognition is aimed at implementi ng cognitive architectures leading to efficient interaction with the environment and other agents. From the perspective of the human disciplines, robots could represent an ideal stimulus to study which are the fundamental robot properties necessary to make it perceived as a cognitive agent, enabling natural human-robot interaction. Ideally, the implementation of cognitive architectures may raise new interesting questions for psychologists, and the behavioral and neuroscientific results of the human-robot in teraction studies could validate or give new inputs for robotics engineers. The aim of this workshop will be to provide a venue for researchers of different disciplines to discuss the possible points of contact and to highlight the issues and the advantages of bridging different fields for the study of cognition for interaction. T his workshop will represent an ideal continuation of the discussion began at HRI 2014, in the workshop “HRI: a bridge between Robotics and Neuroscience” (http://www.macs.hw.ac.uk/~kl360/HRI2014W/index.html) LIST OF TOPICS ------------- - Cognitive Architecture - Development of Social Cognition - Interaction - Prediction - Embodiment - Self and Other FORMAT AND SUBMISSIONS ----------------------- The workshop will consist of invited keynotes, time for discussions and will also feature a poster session. Prospective participants are invited to submit full papers (up to 8 pages) or short papers (2 pages). Submissions will be accepted in PDF format only, using the HRI formatting guidelines (http://www.macs.hw.ac.uk/~kl360/HRI2015W/papers.html) and including author names. Authors should send their papers to hri2015workshop(a)gmail.com . All submissions will be peer-reviewed. Upon available time, selected contributions may have the opportunity to be presented in the oral session. The other selected contributions will be presented as posters during a dedicated session. The submission must include 1 answer to one of the following questions: - How should cognitive research be structured to yield results useful for robotics and HRI? - How can robotics have a direct influence on neuroscience and cognitive psychology aimed at interaction studies? - Which is the minimal level of cognition needed in a robot to be able to interact with a human? - Does a robot really need cognition to be perceived as a cognitive agent by a human? - Does inserting a cognitive agent into an interaction pose a risk to the human partners? - How important is the embodiment of a robot for the development of its cognitive architecture and its social cognition? Upon available time, those questions/answers will be used to "drive" a final discussion. IMPORTANT DATES ---------------- Submission deadline: January 20, 2015 Notification of acceptance: January 30, 2015 Workshop at HRI 2015: March 2, 2015 ORGANIZERS ----------- - Alessandra Sciutti Istituto Italiano di Tecnologia - Katrin Solveig Lohan Heriot-Watt University - Yukie Nagai Osaka University — Yukie Nagai, Ph.D. Specially Appointed Associate Professor, Osaka University Visiting Researcher, Bielefeld University yukie(a)ams.eng.osaka-u.ac.jp http://cnr.ams.eng.osaka-u.ac.jp/~yukie/

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INNS BigData 2015 San Francisco - New Conference! Calls for Papers, Special Sessions, Tutorials and Workshops!
by Asim Roy Jan. 14, 2015

Jan. 14, 2015

Apologies for cross-posting. Note the plenary talk by Juergen Schmidhuber (Prof. Jürgen Schmidhuber<http://people.idsia.ch/~juergen/>) on Deep Learning. There will also be a tutorial and a workshop on Deep Learning by Juergen Schmidhuber and Dong Yu of Microsoft Research (Dong Yu<http://research.microsoft.com/en-us/people/dongyu/>, Microsoft Research<http://research.microsoft.com/en-us/>). Note the deadlines for submission of proposals for special sessions, tutorials and workshops. See you in San Francisco. <http://www.innsbigdata.org/> [http://innsbigdata.org/wp-content/uploads/2014/09/banner.jpg]<http://www.innsbigdata.org/> INNS Conference on Big Data 2015 New approaches to solving hard Big Data problems! 8 - 10 August 2015, San Francisco www.innsbigdata.org<http://www.innsbigdata.org/> The aim of the INNS BigData conference is to promote new advances and research directions in 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 Big Data Analytics to solve real-world problems (e.g. weather prediction, transportation, energy management). Please refer to our website for a more detailed list of topics. Being INNS' inaugural conference on the theme of big data, we are especially motivated to synthesize ideas, promote activities and generate broad interest in areas where neural networks have many unique advantages. We also have Twitter<https://twitter.com/inns_bigdata>, Facebook<https://www.facebook.com/innsbigdata15/> and Google+<https://plus.google.com/112891798437473029046> pages! ________________________________ [http://innsbigdata.org/wp-content/uploads/2014/09/new.gif]PLENARY TALK<http://innsbigdata.org/> [http://innsbigdata.org/wp-content/uploads/2014/11/juergen.jpg] DEEP LEARNING Prof. Jürgen Schmidhuber<http://people.idsia.ch/~juergen/>, Professor of Artificial Intelligence at the University of Lugano<http://www.inf.usi.ch/index.htm>, and the Swiss AI Lab IDSIA.<http://www.idsia.ch/> Since age 15 or so, Prof. Jürgen Schmidhuber’s main scientific ambition has been to build an optimal scientist through self-improving Artificial Intelligence (AI), then retire. He has pioneered self-improving general problem solvers since 1987, and Deep Learning Neural Networks (NNs) since 1991. The Long Short-Term Memory (LSTM) recurrent NNs (RNNs), developed by his research groups at the Swiss AI Lab IDSIA & USI & SUPSI & TU Munich, were the first RNNs to win official international contests. LSTM recently helped to improve connected handwriting recognition, speech recognition, machine translation, optical character recognition, image caption generation, and are now in use at Google, Microsoft, IBM, and many other companies. IDSIA’s Deep Learners were also the first to win object detection and image segmentation contests, and achieved the world’s first superhuman visual classification results, winning nine international competitions in machine learning & pattern recognition (more than any other team). Since 2009 he has been member of the European Academy of Sciences and Arts. He has published over 300 peer-reviewed papers, earned seven best paper/best video awards, and is recipient of the 2013 Helmholtz Award of the International Neural Networks Society. ________________________________ Important Dates:<http://innsbigdata.org/important-dates/> * Paper submission:<http://innsbigdata.org/paper-submission/> March 22, 2015. * Paper Decision Notification: May 22, 2015. * Camera Ready Submission of papers: June 8, 2015. Call for Special Sessions:<http://innsbigdata.org/special-sessions/> * Deadline: January 22, 2015 * Any proposal can be sent by e-mail to: INNSBigData2015SpecialSessions(a)gmail.com<mailto:INNSBigData2015SpecialSessions@gmail.com> Call for Tutorials<http://innsbigdata.org/tutorials/> and Workshops:<http://innsbigdata.org/workshops/> * Deadline: January 22, 2015 * Any questions can be sent to the Tutorials & Workshops Chairs: Marley Vellasco (PUC-Rio. Rio de Janeiro. Brazil)<mailto:Marley%20Vellasco%20(PUC-Rio.%20Rio%20de%20Janeiro.%20Brazil)%20%3cmarley@ele.puc-rio.br%3e> and Trevor Martin (Univ. of Bristol, UK)<mailto:Trevor%09Martin%20(Univ.%20of%20Bristol.%20UK)%20%3ctrevor.martin@bristol.ac.uk%3e>. ________________________________ [http://innsbigdata.org/wp-content/uploads/2014/09/new.gif]The Elsevier USD 2000 Big Data Best Paper Award:<http://innsbigdata.org/best-paper-award/> This award recognizes the best paper presented at the INNS Big Data conference. Both application and theoretical papers will be considered. It will be awarded by the Big Data Analytics Section of the International Neural Network Society and is sponsored by Elsevier. The Award consists of a plaque and a $2000 honorarium. ________________________________ Dr. Fen Zhao Talk<http://innsbigdata.org> Dr. Fen Zhao, a Staff Associate at the Office of the Assistant Director (OAD) for Computer & Information Science & Engineering (CISE) at the National Science Foundation, will give a talk on national big data R&D initiative and on building public-private partnerships around CISE's Big Data, next generation internet, and cybersecurity R&D portfolios. ________________________________ PLENARY SPEAKERS:<http://innsbigdata.org/> [http://innsbigdata.org/wp-content/uploads/2014/11/Bin-Yu.jpg] Prof. Bin Yu<https://www.stat.berkeley.edu/~binyu/Site/Welcome.html>, Chancellor´s Professor, University of California<http://www.universityofcalifornia.edu/>, Berkeley. Bin Yu is Chancellor’s Professor in the Departments of Statistics and of Electrical Engineering & Computer Science at the University of California at Berkeley. She held faculty positions at UW-Madison and Yale University and was a Member of Technical Staff at Lucent Bell Labs. She was Chair of Department of Statistics at Berkeley from 2009 to 2012, and is a founding co-director of the Microsoft Joint Lab on Statistics and Information Technology at Peking University where she is also Chair of the scientific advisory committee of the Center for Statistical Sciences. She has published over 80 scientific papers in premier journals in statistics, machine learning, information theory, signal processing, remote sensing, neuroscience, network analysis, and bioinformatics. She is a Member of the U.S. National Academy of Sciences, and a Fellow of the American Academy of Arts and Sciences. [http://innsbigdata.org/wp-content/uploads/2014/11/Raghu.jpg] Prof. Raghu Ramakrishnan<http://pages.cs.wisc.edu/~raghu/>, Head of Cloud and Information Services Lab (CISL) and big data team, Microsoft<http://research.microsoft.com/en-us/events/fs2013/raghu-ramakrishnan_bigdat…> Raghu Ramakrishnan heads the Cloud and Information Services Lab (CISL) in the Data Platforms Group at Microsoft, and leads development for the Big Data team. From 1987 to 2006, he was a professor at University of Wisconsin-Madison, where he wrote the widely-used text “Database Management Systems” and led a wide range of research projects in database systems (e.g., the CORAL deductive database, the DEVise data visualization tool, SQL extensions to handle sequence data) and data mining (scalable clustering, mining over data streams). In 1999, he founded QUIQ, a company that introduced a cloud-based question-answering service. He joined Yahoo! in 2006 as a Yahoo! Fellow, and over the next six years served as Chief Scientist for the Audience (portal), Cloud and Search divisions, driving content recommendation algorithms (CORE), cloud data stores (PNUTS), and semantic search (“Web of Things”). Ramakrishnan has received several awards, including the ACM SIGKDD Innovations Award, the SIGMOD 10-year Test-of-Time Award, the IIT Madras Distinguished Alumnus Award, and the Packard Fellowship in Science and Engineering. [http://innsbigdata.org/wp-content/uploads/2014/11/brenda.jpg] Prof. Brenda Dietrich,<https://www-03.ibm.com/ibm/history/witexhibit/wit_fellows_dietrich.html> IBM Fellow and VP, Leads the Emerging Technologies Team for IBM Watson, IBM<http://www.ibm.com/ibm/ideasfromibm/us/ibm_fellows/> Brenda Dietrich is an IBM Fellow and Vice President. She joined IBM in 1984 and has worked in the area now called analytics for her entire career, applying data and computation to business decision processes throughout IBM. For over a decade she led the Mathematical Sciences function in the IBM Research division where she was responsible for both basic research on computational mathematics and for the development of novel applications of mathematics for both IBM and its clients. She has been the president of INFORMS, has served on the Board of Trustees of SIAM, and is a member of several university advisory boards. She holds more than a dozen patents, has co-authored numerous publications, and frequently speaks on analytics at conferences. She was elected to the National Academy of Engineering in 2014. She holds a BS in Mathematics from UNC and an MS and Ph.D. in OR/IE from Cornell. Her personal research includes manufacturing scheduling, services resource management, transportation logistics, integer programming, and combinatorial duality. She currently leads the emerging technologies team for IBM Watson, extending and applying IBM’s cognitive computing technology. ________________________________ [http://innsbigdata.org/wp-content/uploads/2014/09/new.gif]TUTORIALS & WORKSHOPS: TUTORIALS * Deep Learning - Profs. Juergen Schmidhuber<http://people.idsia.ch/~juergen/> (University of Lugano<http://www.inf.usi.ch/index.htm>, and the Swiss AI Lab IDSIA<http://www.idsia.ch/>) and Dong Yu<http://research.microsoft.com/en-us/people/dongyu/> (Microsoft Research<http://research.microsoft.com/en-us/>) * Introduction to How Brain Deals with Big Data - Juyang Weng<http://www.cse.msu.edu/~weng/> (Michigan State University<http://www.msu.edu/>) * Platforms and Algorithms for Big Data Analytics - Prof. Chandan K. Reddy<http://www.cs.wayne.edu/~reddy/> (Wayne State University<http://wayne.edu/>) * Big Data Analytics, Machine Learning Cognitive Algorithms and the Mind - Prof. Leonid I. Perlovsky<http://www.northeastern.edu/cos/psychology/people/faculty/> (Northeastern University<http://www.northeastern.edu/>) * Spiking Neural Networks and Neuromorphic Spatio-Temporal Data Machines - Prof. Nikola Kasabov <http://www.aut.ac.nz/profiles/nikola-kasabov> (Auckland University of Technology<http://www.aut.ac.nz/>) * Online Learning for Big Data Analytics - Prof. Irwin King<https://www.cse.cuhk.edu.hk/irwin.king.new/> (Chinese University of Hong Kong<http://www.cuhk.edu.hk/english/index.html>) WORKSHOPS * Deep Learning - Profs. Juergen Schmidhuber<http://people.idsia.ch/~juergen/> and Dong Yu<http://research.microsoft.com/en-us/people/dongyu/> * Neuromorphic Spatio-Temporal Big Data Machines - Prof. Nikola Kasabov <http://www.aut.ac.nz/profiles/nikola-kasabov> * Neural networks and wearable devices - Prof. Danilo Mandic<http://www.commsp.ee.ic.ac.uk/~mandic/> * Big Data and Power Systems - Profs. Dejan Sobajic and Kumar Venayagamoorthy * Crowd Behaviour and Big Data - Profs. Chrisina Jayne and Mehmed Kantardzic ________________________________ Neural Networks Special Issue: Neural Network Learning in Big Data<http://www.journals.elsevier.com/neural-networks/call-for-papers/special-is…> 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). Manuscript submission due: January 15, 2015 Big Data Analytics Section @ INNS<http://www.inns.org/big-data-section> Considering the growing interest to process and analyse big data, the International Neural Network Society (INNS) has a new Section on Big Data Analytics (BDA) to help the neural network field position itself as a leading technology contributor to big data analytics. Anyone who is interested to know more is encouraged to visit the homepage of the INNS-BDA Section<http://www.inns.org/big-data-section>. ________________________________ We have an enthusiastic team working hard on the conference program and events. Start thinking about your paper submissions. Our Chairs for the [Special Sessions, Tutorials, and Workshops] are expecting your proposals soon - email them to discuss your ideas. Come to San Francisco next summer to take part in the future of BigData, and to have fun!! ________________________________ GENERAL CHAIRS:<http://innsbigdata.org/committees/> Asim Roy<https://webapp4.asu.edu/directory/person/9973> (email<mailto:Asim%20Roy.%20General%20Co-Chair.%20INNS%20BigData2015.%20Arizona%20StateU.%20USA%20%3cASIM.ROY@asu.edu%3e>) INNS BigData General Co-Chair Arizona State University, USA INNS Board of Governors Plamen Angelov<http://www.lancaster.ac.uk/staff/angelov/> (email<mailto:Plamen%20Angelov.%20General%20Co-Chair.%20INNS%20BigData2015.%20Lancaster%20U.%20UK%20%3cp.angelov@lancaster.ac.uk%3e>) INNS BigData General Co-Chair Lancaster University, UK Chair in Intelligent Systems ________________________________ Many thanks to our Sponsors: [http://www.inns.org/assets/site/neural.png]<http://www.inns.org/> [http://innsbigdata.org/wp-content/uploads/2014/10/elsevier-logo-300x300-150…]<http://www.elsevier.com/> To unsubscribe from this list, send an email to Jose Antonio Iglesias, INNS BigData 2015 Publicity Co-Chair, Carlos III Univ, Madrid, Spain<mailto:Jose%20Antonio%20Iglesias.%20INNS%20BigData%202015%20Publicity%20Co-Chair.%20Carlos%20III%20Univ.%20Madrid.%20Spain%20%3cBigData2015-INNS-SanFrancisco@BillHowell.ca%3e?subject=Remove%20my%20email&body=Click%20to%20send.%20This%20will%20remove%20your%20email%20address%20from%20the%20INNS%20mass%20email%20list.> with the phrase "Remove my email" in the Subject line.

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RLDM2015: Abstract submissions deadline in one month!
by Yael Niv Jan. 14, 2015

Jan. 14, 2015

The 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2015) www.rldm.org<http://www.rldm.org/> June 7-10, The University of Alberta, Edmonton, Alberta, Canada ====================================================== Submissions to RLDM2015 are now being accepted at https://cmt.research.microsoft.com/RLDM2015 Deadline: 13 February 2015, midnight EST We invite extended abstracts for contributed poster presentations and oral presentations. We welcome submissions of original research related to “learning and decision making over time to achieve a goal”, coming from any discipline or disciplines, describing empirical results from human, animal or animat experiments, and/or theoretical work, simulations and modeling. Contributions should be aimed at an interdisciplinary audience, but not at the expense of technical excellence. This is an abstract-based meeting, with no published conference proceedings. As such, work that is intended for, or has been submitted to, other conferences or journals is also welcome, provided that the intent of communication to other disciplines is clear. Submissions should consist of a summary (max 2000 characters; text only), and an extended abstract of between one and four pages (including figures and references). LaTeX and RTF templates, and sample submissions, are available from http://rldm.org/rldm2015/submission-procedure/ Note: Only the summary will be made available in the (electronic) abstract booklets. The extended abstract will be used for reviewing, and will be available online only pending on authors’ separate explicit permission. Online availability will have no bearing on the review process and authors are encouraged to include new, unpublished, findings which they do not want to make publicly available. To submit your abstract please go to https://cmt.research.microsoft.com/RLDM2015 Submissions will be reviewed for relevance to the topic and for quality. Exceptional abstracts will be selected for oral presentations and for poster spotlight presentations. IMPORTANT DATES: Submissions open: 13 Dec 2015 Submissions close: 13 Feb 2015, 11:59pm EST Notification of acceptance: by March 28, 2015 (expedited reviewing for those needing an international visa can be requested) Early registration: 21 April 2015 Meeting: 7-10 June 2015, Edmonton, Alberta (*NEW* this year: Tutorials on the 7th) RLDM2015 Invited speakers: http://rldm.org/rldm2015/invited-speakers2015/ RLDM2015 Tutorials: http://rldm.org/rldm2015/tutorials/ RLDM2015 Programme Committee: http://rldm.org/rldm2015/committees/rldm2015-program-committee/ To ensure that you receive future announcements about RLDM2015 please join our mailing list at http://tinyurl.com/RLDMlist (you must log in to google to see the “join list” button, and choose “all email” from the options at the bottom).

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CFP: ICC'15 Workshop - 4th IEEE SCPA 2015 - June 8-12, 2015. London, UK
by Sandra Sendra Jan. 13, 2015

Jan. 13, 2015

Apologies for crossposting -------------------- CALL FOR PAPERS (DEADLINE EXTENDED) ----------------- 4th IEEE International Workshop on Smart Communication Protocols and Algorithms (SCPA 2015) June 8-12, 2015. London, UK In conjunction with IEEE ICC 2015 http://scpa.it.ubi.pt/2015/ Selected papers will be invited to the Special Issue on Smart Protocols and Algorithms of the International Journal Network Protocols and Algorithms (ISSN 1943-3581) or to the Special Issue on Recent Patents on Telecommunications Journal ((Online)ISSN 2211-7415, (Print) ISSN 2211-7407) Communication protocols and algorithms are needed to communicate network devices and exchange data between them. The appearance of new technologies usually comes with a protocol procedure and communication rules that allows data communication while taking profit of this new technology. Recent advances in hardware and communication mediums allow proposing new rules, conventions and data structures which could be used by network devices to communicate across the network. Moreover, devices with higher processing capacity let us include more complex algorithms that can be used by the network device to enhance the communication procedure. Smart communication protocols and algorithms make use of several methods and techniques (such as machine learning techniques, decision making techniques, knowledge representation, network management, network optimization, problem solution techniques, and so on), to communicate the network devices to transfer data between them. They can be used to perceive the network conditions, or the user behavior, in order to dynamically plan, adapt, decide, take the appropriate actions, and learn from the consequences of its actions. The algorithms can make use of the information gathered from the protocol in order to sense the environment, plan actions according to the input, take consciousness of what is happening in the environment, and take the appropriate decisions using a reasoning engine. Goals such as decide which scenario fits best its end-to-end purpose, or environment prediction, can be achieved with smart protocols and algorithms. Moreover, they could learn from the past and ! use this knowledge to improve futur e decisions. In this workshop, researchers are encouraged to submit papers focused on the design, development, analysis or optimization of smart communication protocols or algorithms at any communication layer. Algorithms and protocols based on artificial intelligence techniques for network management, network monitoring, quality of service enhancement, performance optimization and network secure are included in the workshop. We welcome technical papers presenting analytical research, simulations, practical results, position papers addressing the pros and cons of specific proposals, and papers addressing the key problems and solutions. The topics suggested by the conference can be discussed in term of concepts, state of the art, standards, deployments, implementations, running experiments and applications. Topics of interest: Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal, including, but are not limited to, the following topic areas: - Smart network protocols and algorithms for multimedia delivery - Application layer, transport layer and network layer cognitive protocols - Cognitive radio network protocols and algorithms - Automatic protocols and algorithms for environment prediction. - Algorithms and protocols to predict data network states. - Intelligent synchronization techniques for network protocols and algorithms - Smart protocols and algorithms for e-health - Software applications for smart algorithms design and development. - Dynamic protocols based on the perception of their performance - Smart protocols and algorithms for Smartgrids - Protocols and algorithms focused on building conclusions for taking the appropriate actions. - Smart Automatic and self-autonomous ad-hoc and sensor networks. - Artificial intelligence applied in protocols and algorithms for wireless, mobile and dynamic networks. - Smart security protocols and algorithms - Smart cryptographic algorithms for communication - Artificial intelligence applied to power efficiency and energy saving protocols and algorithms - Smart routing and switching protocols and algorithms - Cognitive protocol and algorithm models for saving communication costs. - Any kind of intelligent technique applied to QoS, content delivery, network Monitoring and network management. - Smart collaborative protocols and algorithms - Problem recognition and problem solving protocols Genetic algorithms, fuzzy logic and neural networks applied to communication protocols and algorithms Important Dates Submission Deadline: 31st January, 2015 (FINAL DEADLINE - no further extensions) Acceptance Notification: 1st March, 2015 Camera Ready Deadline: 15th March, 2015 Submission guidelines: All submissions must be full papers in PDF format and uploaded on EDAS (http://edas.info/newPaper.php?c=18713) All submissions should be written in English with a maximum paper length of five (5) printed pages (10-point font) including figures without incurring additional page charges. General Chairs Jaime Lloret Mauri, Universitat Polit�cnica Val�ncia, Spain Joel Rodrigues, Instituto de Telecomunica��es, Univ. of Beira Interior, Portugal TPC Chairs Ivan Stojmenovic, University of Ottawa, Canada Guangjie Han, Hohai University, China Panel Chairs Honggang Wang, University of Massachusetts, USA Daqiang Zhang, Tongji University, China Industry Chairs Antonio S�nchez-Esguevillas, Telefonica R&D, Spain Neeraj Kumar, Thapar University, Patiala (Punjab), India Publicity Chair Sandra Sendra, Universitat Polit�cnica Val�ncia, Spain Web Chair Alejandro C�novas Solbes, Universitat Polit�cnica Val�ncia, Spain

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ECMLPKDD 2015: Call for Papers, Tutorials and Workshops
by ECMLPKDD 2015 Jan. 12, 2015

Jan. 12, 2015

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) will take place in Porto, Portugal, from September 7th to 11th, 2015 (http://www.ecmlpkdd2015.org) This event is the leading European scientific event on machine learning and data mining and builds upon a very successful series of 25 ECML and 18 PKDD conferences, which have been jointly organized for the past 14 years. ECMLPKDD 2015 will host three tracks, tutorials and a set of workshops. Therefore, we invite all researchers and practitioners from different communities to submit papers and/or present tutorial and workshop proposals. ************************* CALL FOR PAPERS ************************* JOURNAL TRACK ********************* Articles for this track are submitted all year long directly to either Machine Learning or Data Mining and Knowledge Discovery, and are reviewed like regular journal articles. Accepted articles appear in full in the journal and the authors are given a presentation slot at the conference. Articles deemed insufficiently mature for journal publication may be accepted for inclusion in the proceedings. Submissions to the journal track will be managed by the Guest Editorial Board. Paper Submission: Cut-off dates for the bi-weekly batches are 18 Jan, 1 Feb, 15 Fev, 1 Mar, 15 Mar, 29 Mar, 12 Apr, 26 Apr of 2015 Web Page: http://www.ecmlpkdd2015.org/submission/journal-track RESEARCH PROCEEDINGS TRACK ******************************************* The research proceedings track, which is organized in the traditional way. Accepted papers will be published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) of Springer, after reviewing by the programme committee. Abstract Submission Deadline: March 26, 2015 Paper Submission Deadline: April 2, 2015 Paper Acceptance Notification: June 1, 2015 Paper Camera Ready Submission: June 15, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/research-proceedings-track INDUSTRIAL, GOVERNMENTAL & NON-GOVERNMENTAL PROCEEDINGS TRACK **************************************************************************** ************************** The NEW industrial, governmental & non-governmental (NGO) proceedings track is independent and distinct from the Research Track. Submissions to this track should solve real-world problems and focus on engineering systems, applications, and challenges. Accepted papers will be published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) of Springer, after reviewing by the programme committee. Abstract Submission Deadline: March 26, 2015 Paper Submission Deadline: April 2, 2015 Paper Acceptance Notification: June 1, 2015 Paper Camera Ready Submission: June 15, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/industrial-proceedings-track ***************************************************************** CALL FOR TUTORIAL AND WORKSHOP PROPOSALS ***************************************************************** TUTORIALS ************** The tutorials are intended to provide a comprehensive introduction to established or emerging research topics of interest for the machine learning and the data mining community. These topics include related research fields or applications. The ideal tutorial should attract a wide audience. It should be broad enough to provide a basic introduction to the chosen research area, but it should also cover the most important topics in depth. We welcome half day workshop proposals. Proposal Deadline: March 2, 2015 Proposal Acceptance Notification: March 23, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/call-for-tutorials WORKSHOPS **************** The workshops will be on relevant and current topics in Machine Learning and Data Mining. The scope of the proposal should be consistent with the conference themes as described in the ECMLPKDD 2015 Call for Papers (http://www.ecmlpkdd2015.org/submission) Interdisciplinary workshops that bring together researchers and practitioners from different communities are especially welcome. We encourage workshops that bridge the gap between theoretical advances and important and/or innovative applications of machine learning and data mining. We welcome both full and half day workshop proposals. Proposal Deadline: March 2, 2015 Proposal Acceptance Notification: March 23, 2015 Workshop Websites and Call for Papers Online: March 27, 2015 Workshop Proceedings (Camera-ready): August 3, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/call-for-workshop-proposals Hope to see you all soon in Porto, Portugal!!! The publicity chairs of the ECMLPKDD 2015, Carlos Abreu Ferreira Ricardo Campos --- Este e-mail foi verificado em termos de vírus pelo software antivírus Avast. http://www.avast.com

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Fwd: Summer CAMP@Bangalore: Short course in Computational Approaches to Memory and Plasticity
by U.S.Bhalla Jan. 12, 2015

Jan. 12, 2015

We would like to announce CAMP@Bangalore 2015 from 27 June 2015 to 12 July 2015. Please see the course website at http://camp.ncbs.res.in/ CAMP @ Bangalore (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. The course will start with remedial tutorials on neuroscience / math / programming and then work upwards from sub-cellular electrical and chemical signaling in neurons, onward to micro-circuits and networks, all with an emphasis on learning, memory and plasticity. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Instructors include: Ad Aertsen (Bernstein Center, Freiburg) Dan Johnston (UT-Austin) Sumantra Chattarji (NCBS, Bangalore) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Michael Hausser (University College, London) Stefano Fusi (Columbia University, New York) Raghav Rajan (Indian Institute of Science Education and Research, Pune) Eric DeWitt (Champalimaud, Lisbon) Mohan Raghavan (Indian Institute of Technology, Hyderabad) Course Organizers: Upinder Bhalla (NCBS, Bangalore) Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Thank you, Upi Bhalla

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Postdoctoral positions in computational neuroscience at Wright State University
by Sherif Elbasiouny Jan. 12, 2015

Jan. 12, 2015

*_Postdoctoral positions in computational neuroscience_* Two postdoctoral Fellow positions in Computational Neuroscience are available immediately in the laboratory of Dr. Sherif Elbasiouny (/T//he Neuro Engineering, Rehabilitation, and Degeneration Lab/) at the Department of Neuroscience, Cell Biology, and Physiology, Wright State University, Dayton, Ohio. The research work involves the development of anatomically detailed computational models of neurons in the spinal cord to investigate the basis of their neuronal excitability. Dr. Elbasiouny’s lab is currently investigating the ionic mechanisms underlying motoneuron function for neurorehabilitation applications and in neurodegenerative diseases, such as amyotrophic lateral sclerosis. *Required*: The successful applicant should have: 1) a PhD in computational neuroscience, engineering, computer science, mathematics, or related areas, 2) previous research experience in computational neuroscience. *Desired*: Although not mandatory, it is it highly desirable if the applicant has: 1) experience in the development of anatomically detailed computational models of single cells, and 2) experience in using the NEURON simulation environment. The positions are available immediately. The salary package is competitive and will be based upon the applicant’s experience. Funding for these positions is available for couple of years with possible extension upon research progress. Qualified applicants should email Dr. Elbasiouny at sherif.elbasiouny(a)wright.edu <mailto:sherif.elbasiouny@wright.edu>with the following: 1) CV including a list of publications, 2) a brief statement of research interests, and 3) three recommendation letters emailed directly by the references to Dr. Elbasiouny.For full consideration, please apply before March 1, 2015. Wright State University is an Equal Opportunity/Affirmative Action Employer. It is the university's policy to prohibit discrimination and provide equal opportunity to all employees and applicants for employment, without regard to their race, sex (including gender identity/expression), color, religion, ancestry, national origin, age, disability, veteran status, military or sexual orientation. Regards, Sherif Elbasiouny -- Sherif M. Elbasiouny, PhD, PE Assistant Professor Departments of Neuroscience, Cell Biology, & Physiology (NCBP) and Biomedical, Industrial & Human Factors Engineering (BIE) Wright State University 143 Biological Sciences II (mail) 243 Biological Sciences II (lab) 251B Biological Sciences II (office) 3640 Col Glenn Hwy Dayton OH 45435 Office Phone: 937-775-2492 https://www.med.wright.edu/ncbp/elbasiouny

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MOOSE 3.0.1 "Gulab Jamun"
by U.S.Bhalla Jan. 11, 2015

Jan. 11, 2015

We announce the release of MOOSE 3.0.1 "Gulab Jamun" The Gulab Jamun release is the second in series 3 of MOOSE releases. Websites: http://moose.ncbs.res.in, http://sourceforge.net/projects/moose MOOSE is the Multiscale Object-Oriented Simulation Environment. It is designed to simulate neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, circuits, and large networks. MOOSE can operate at many levels of detail, from stochastic chemical computations, to multicompartment single-neuron models, to spiking neuron network models. MOOSE 3.0.1 is an evolutionary increment over 3.0.0:: - The GUI moves into beta with substantially more kinetic modeling features, as well as an early release of the neuronal modeling interface in the GUI. - Multiscale modeling updates including better cross-compartment reaction support, including stochastic reactions in subsets of the compartments. - General robustness and error reporting improvements for solvers. - HSolver updates to handle NMDA and derived classes of channels with Ca currents. - Better release packaging About the name: Gulab Jamun is a classic North Indian sweet consisting of deep brown spheres involving milk solids, cardamom and other spices, floating in a rich syrup. Best wishes and Happy New Year, The MOOSE team: Harsha Rani, Aviral Goel, Dilawar Singh, Aditya Gilra, Subhasis Ray, Upi Bhalla

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tenure-track faculty position - Assistant Professor - Systems biology and Alzheimer's disease
by Christopher Gaiteri Jan. 11, 2015

Jan. 11, 2015

tenure-track faculty position - Assistant Professor - Systems biology and Alzheimer's disease Make creative analytic contributions to understanding Alzheimer's disease at Rush University, a major center for aging and age-related disease research, located in Chicago, IL. Our Alzheimer's center offers an integrated clinical and research environment that has a constantly growing collection of multi-omic data on hundreds of individuals, at various ages and levels of cognitive function. These omics data can be studied against a backdrop of hundreds of cognitive and behavioral phenotypes that are tracked longitudinally in these subjects and thousands of others. We are searching for a tenure-track assistant professor to construct and contribute to systems biology models that enhance our understanding of age-related dysfunction and Alzheimer's disease. These models should lead to actionable, molecular or tissue-level predictions, which can be tested in experimental systems. Requirements: MD/PhD or PhD in Neuroscience, Mathematics, Systems Biology or related fields Experience with omics and big data, including any or ideally all of: structural and functional neuroimaging, proteomics, RNAseq, genetics and methylation Expertise in R, matlab and python Interests in network-based analysis of disease-related data Preference for: Publication history in graph theory, systems biology and neuroscience Familiarity with complex disease neurobiology Experience in design and implementation of large-scale cellular simulations Java, perl, parallel programming and batch execution systems Experience designing or performing high-throughput experiments Post-doctoral training The ideal candidate is free to develop an independent research program around aging, age-related disease and/or systems biology analysis. He/she will also collaborate with current faculty and develop and maintain external funding. Salary commensurate with relevant experience and skills. Instructions for applying: Send your CV to gaiteri(a)gmail.com AND ALSO include a paragraph on one of the following topics: 1. How will you identify key pathological mechanisms in a multi-omic disease setting, potentially in collaboration with experimental labs? 2. How will you develop multi-modal or multi-scale models of complex brain diseases? 3. What is the most under-appreciated statistical or mathematical technique that you expect could lead to insights in brain diseases?

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summer undergrad program in computational neuroscience
by Dave Touretzky Jan. 10, 2015

Jan. 10, 2015

Carnegie Mellon - University of Pittsburgh Joint Summer Undergraduate Program in Computational Neuroscience Undergraduates interested in receiving research training in computational neuroscience are encouraged to apply to an NIH-sponsored summer program at the Center for the Neural Basis of Cognition in Pittsburgh. The Center for the Neural Basis of Cognition is a joint interdisciplinary program of Carnegie Mellon University and the University of Pittsburgh. The 2015 program will most likely run from May 26 through July 31, 2015 (pending confirmation on dormitory availability). The final deadline for application is Feb 16, 2015. All participants must be United States citizens or permanent residents, must be enrolled at a 4-year accredited institution, and must be in their sophomore or junior year at the time of application. Any undergraduate may apply, but we are especially interested in attracting students with strong quantitative backgrounds with some experience in calculus, statistics and/or computer programming. Experience in neuroscience is not required. Students from groups underrepresented in the sciences are encouraged to apply. The core of the program is the opportunity to carry out an individual mentored research project working closely with a faculty mentor. Other aspects of the scientific program include: 12 faculty lectures on computational neuroscience at the beginning, followed by student presentations and discussion of articles from the scientific literature, presentations on career options and scientific ethics, and a concluding symposium in which students present their research. Application form is available at: http://www.cnbc.cmu.edu/summercompneuro Application can be returned via email or regular mail (see addresses below). In addition to the application, the following items are required for evaluation: * A brief (one page) essay about your interest and experience in neural computation. * Official transcript from the institution you are attending * Two letters from professional references. You should contact your recommenders and ask them to mail or email a letter directly to us. * SAT/ACT scores (do NOT have to be official; photocopies are acceptable) Documents should be mailed to: Computational Neuroscience Summer Program Center for the Neural Basis of Cognition Carnegie Mellon University 4400 Fifth Avenue Suite 115 Pittsburgh, PA 15213-2617 CNBC-summer-UG(a)andrew.cmu.edu Brief list of CMU-Pitt CNBC faculty working in computational neuroscience: John Anderson (Carnegie Mellon, Psychology) Aaron Batista (University of Pittsburgh, Bioengineering) Marlene Behrmann (Carnegie Mellon, Psychology) Marlene Cohen (University of Pittsburgh, Neuroscience) Carol Colby (University of Pittsburgh, Neuroscience) Steve Chase (Carnegie Mellon, ECE/Biomedical Engineering) Brent Doiron (University of Pittsburgh, Mathematics) William Eddy (Carnegie Mellon, Statistics) Bard Ermentrout (University of Pittsburgh, Mathematics) Julie Fiez (University of Pittsburgh, Psychology) Raj Gandhi (University of Pittsburgh, Department of Bioengineering) John Horn (University of Pittsburgh, Neurobiology) Robert Kass (Carnegie Mellon, Statistics) Charles Kemp (Carnegie Mellon, Psychology) Sandra Kuhlman (Carnegie Mellon, Biology) Tai Sing Lee (Carnegie Mellon, Computer Science) Tom Mitchell (Carnegie Mellon, Machine Learning) Carl Olson (Carnegie Mellon, Neural Basis of Cognition) Anne-Marie Oswald (University of Pittsburgh, Neuroscience) Monica Perez (University of Pittsburgh, Neurobiology & Rehabilitation) David Plaut (Carnegie Mellon, Psychology) Lynne Reder (Carnegie Mellon, Psychology) Erik Reichle (University of Pittsburgh, Psychology) Johnathan Rubin (University of Pittsburgh, Mathematics) Walt Schneider (University of Pittsburgh, Psychology) Andrew Schwartz (University of Pittsburgh, Bioengineering) Daniel Simons (University of Pittsburgh, Neurobiology) Matthew Smith (University of Pittsburgh, Ophthalmology) Peter Strick (University of Pittsburgh, Psychiatry) Michael Tarr (Carnegie Mellon, Psychology) Dave Touretzky (Carnegie Mellon, Computer Science) Robert Turner (University of Pittsburgh, Neurobiology) Nathan Urban (Carnegie Mellon, Biology) Valerie Ventura (Carnegie Mellon, Statistics) Timothy Verstynen (Carnegie Mellon, Psychology) Douglas Weber (University of Pittsburgh, Physical medicine and Rehabilitation) Byron Yu (Carnegie Mellon, ECE/Biomedical Engineering) A full list can be found at: http://www.cnbc.cmu.edu/

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Post doc/engineer position in direct brain control of muscle stimulators
by Dawn Taylor Jan. 9, 2015

Jan. 9, 2015

We currently have an opening for a postdoc or engineer for the vA-funded neuroprosthetics study described below. If interested, please send a CV to Dr. Dawn Taylor at dxt42(a)case.edu. The long-term goal of this project is to enable paralyzed individuals to use their brain signals to control their upper limb via implanted muscle stimulators. Most labs working on brain-controlled neuroprosthetics decode intended limb kinematics (e.g. velocity, joint angles, etc.) from the recorded brain signals. However, that approach still requires converting those kinematic commands into the appropriate stimulation patterns required to generate the desired limb motion. That conversion process has not been resolved for the upper limb due to the limb's complex dynamical nature and the fact that the limb is subject to unknown external forces during use. We bypass this obstacle by retraining the brain to control muscle stimulators directly. We have come up with some novel, but clinically feasible ways of mapping neural signals directly to muscle stimulators. Our methods can enable the user to have good control over both limb motion and stiffness. To demonstrate and refine our methods, we are training monkeys to control the movements of a realistic musculoskeletal model of a paralyzed limb activated via implanted muscle stimulators. The paralyzed limb simulator (developed by the lab of Robert Krisch) provides real-time visual feedback to the animal of the limb motion that would result from stimulating the paralyzed muscles based on the animal's neural signals decoded in real time. The use of this real-time paralyzed arm simulator allows us to test and refine our process of brain-controlled muscle stimulation in monkeys without actually having to paralyze any animals. -- Dawn M. Taylor, Ph.D. Assistant Professor of Neuroscience, Cleveland Clinic Researcher Scientist, Cleveland VA Medical Center, Functional Electrical Stimulation Center Assistant Professor of Biomedical Engineering & of Molecular Medicine, Case Western Reserve University The Cleveland Clinic Lerner Research Institute 9500 Euclid Ave. / NC30 Cleveland, OH 44195 email: dxt42(a)case.edu or taylord8(a)ccf.org Phone: (216) 636-0140 Fax: (216) 778-4259

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[jobs] Post Doc position in Humanoid Robotics Research
by Patricia Hazel Shaw [phs] Jan. 9, 2015

Jan. 9, 2015

We Apologise for multiple cross postings ========================================================================= Post-Doctoral Research Associate vacancy Three-year fixed-term Robotics Research Group, Department of Computer Science, Aberystwyth University, Wales, UK £32,277 – £37,384 Applicants are invited to join the Robotics Laboratory for a new project (entitled Developmental Algorithms for Robotics”). The project is focusing on developmental robotic learning based on an iCub humanoid robot. This is a three year EPSRC funded project running at Aberystwyth University, with the support of an International Scientific Advisory Board containing leading developmental psychologists. We wish to appoint two Post-Doctoral Research Associates who will develop and implement models based on the psychological literature, and conduct experiments on our iCub humanoid robot. One successful applicant will be responsible for understanding psychological literature and generating models based on the literature, whilst the other successful applicant will be responsible for software implementation and experimentation. This invitation is for the Scientific Modelling post, details below. For informal enquiries contact Patricia Shaw: phs(a)aber.ac.uk +44 (0)1970-622432 Ref: IMPACS.14.22  Closing Date: 5 February 2015  Interview Date: Week commencing 16 February 2015 For information and application forms please go to www.aber.ac.uk/en/hr/jobs/vacancies-external/ ========================================================================= The Project: “Developmental Algorithms for Robotics” The project aims to investigate a mechanism for robots, building on top of basic spatial sensorimotor competencies, that drives the autonomous development of new behaviours and self learning about novel events for which they have no prior experience. This will involve (1) expanding existing motor-babbling activity into object play behaviour, (2) formulating play behaviour as a viable mechanism for autonomous learning about unknown environments, (3) establishing an extended schema concept as a mechanism for integrating memory, experience generalization and action generation, (4) exploring action perception from the agent's experience, and (5) close monitoring of the work with psychological data and expert psychologists. The project will closely follow current knowledge on infant development and aim to reproduce behaviour as reported in the psychological literature. In particular the focus will be on three areas of core knowledge: (1) Object understanding, (2) Interaction with animate objects, and (3) Tool use. The work will be supported by collaboration with leading developmental psychologists on the project scientific advisory panel. This will produce models and mechanisms that can be implemented and tested experimentally against psychological benchmarks. The models will be validated with challenging demonstrators based on a single humanoid robotic platform (iCub). As a main outcome, the project will advance the understanding and application of intrinsic motivations in autonomous learning systems and robots. This overall goal will be achieved with the support of an International Scientific Advisory Board, consists of: Kevin O'Regan, Jacqueline Fagard, Merideth Gattis, David Whitebread, Giorgio Metta, QinetiQ and Lego. The Appointment (PDRA) – Scientific modeller Applications are invited for the post of Post-Doctoral Research Associate on this project at Aberystwyth University. The successful applicant will have a relevant background, experience of research (as demonstrated by PhD and/or publications), and proven abilities in mathematical/scientific modelling. The main tasks will involve analysing the psychological literature to develop models and experiments for testing on an iCub humanoid robot. This will be supported by another PDRA, and PhD student, who will have special responsibility for implementing the models whilst maintaining and supporting the robot. Other tasks include writing scientific documents and papers, documenting experiments and writing reports, supervising a PhD student, responsibility for day-to-day management of project needs, and collaborating with the scientific advisory panel and other researchers. Regular European travel will be involved. This post is available on a three-year fixed-term contract, funded by the EPSRC. Salary will be on the IA scale for Research Staff in the range: £32,277 - £37,384 (depending upon qualifications and experience). We expect to appoint for a start date in the first quarter of 2015.

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Postdoctoral and PhD positions, Personal Robotics lab, Imperial College London
by Demiris, Yiannis Jan. 8, 2015

Jan. 8, 2015

Dear colleagues, two research positions (either at the postdoctoral or the PhD level) in machine learning for user-modelling and human-robot Interaction are available at the Personal Robotics Laboratory of the Department of Electrical and Electronic Engineering at Imperial College London. Successful applicants will work under the supervision of Dr Yiannis Demiris (www.demiris.info) in the context of the new EU H2020 project PAL (Personal Assistants for healthy Lifestyle, 2015-2019), which aims to develop personalised robotic systems and avatars to assist diabetic (T1DM) children and their caregivers. The PAL positions are available from 1st of March 2015 until the end of the project at the end of Feb 2019 subject to renewal. Additional PhD positions through the A*STAR-Imperial partnership programme (project “Robot Learning by Demonstration for Heterogeneous Bimanual Collaboration Tasks”), the Chinese Scholarship Council programme, and the Imperial PhD scholarship scheme, among others, are also available. For all positions, applicants should have an excellent background in mathematics, machine learning and software engineering, and should be committed to applying their research to real systems interacting with people in challenging environments. The positions offer an excellent working environment in one of the world's top research universities, in one of the most exciting cities in the world. The Department of Electrical and Electrical Engineering at Imperial was ranked as the top EE department in the UK in the recent REF 2014, while its Personal Robotics Laboratory offers an energetic, friendly intellectual environment with state of the art facilities http://www.imperial.ac.uk/PersonalRobotics For further information and links to application material: http://www.imperial.ac.uk/personalrobotics/join_us With best wishes, Yiannis ---- Dr Yiannis Demiris, FIET, FBCS, FRSS Reader (Associate Professor) in Personal Robotics, Department of Electrical and Electronic Engineering, Rm 1014, Imperial College London, South Kensington Campus, Exhibition Road, London, SW7 2BT, UK Tel: +44-(0)2075946300, FaxL +44-(0)2075946274 Personal webpage: http://www.iis.ee.ic.ac.uk/yiannis Laboratory webpage: http://www.imperial.ac.uk/PersonalRobotics - Visiting Scholar, Harvard University School of Engineering and Applied Sciences (SEAS), Maxwell Dworkin Building MD-336, 33 Oxford Street, Cambridge, MA 02138, USA

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Research Topic "Metastable dynamics of neural ensembles"
by Emili Balaguer-Ballester Jan. 6, 2015

Jan. 6, 2015

Research Topic "Metastable dynamics of neural ensembles" http://journal.frontiersin.org/ResearchTopic/1955 A classical view on neural computation is that it can be characterized in terms of deterministic convergence to fixed-point-type attractor states (representing, e.g., memory patterns in Hopfield 1982) or limit-cycle-like sequential transitions among states (representing e.g. motor or syntactical sequences). Is this still a valid model of how brain dynamics implements cognition? The idea that neuro-computational dynamics is more or less deterministically driven by convergence to simple attractor states has recently been challenged both empirically and by computational work. In this Research Topic of Frontiers in Systems Neuroscience we welcome experimental studies and modelling contributions addressing the question of stable vs. transient neural population dynamics, and the potential role of noise and trial-to trial variability in neural computation. Major topics are, but are not restricted to: -Attracting and meta-stable dynamics of neural ensembles, both from empirical and computational modelling perspectives. -Coding by non-stationary and transient states in neural recordings -Spontaneous cortical activity dynamics -Metastable dynamics during cognitive processing -Oscillatory emergent patterns and propagation of waves in an excitable network -Trial-to-trial variability Please see more information in http://journal.frontiersin.org/ResearchTopic/1955. Deadline is on the 31st of March. BU is a Disability Two Ticks Employer and has signed up to the Mindful Employer charter. Information about the accessibility of University buildings can be found on the BU DisabledGo webpages This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email.

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Special Session on Transfer Learning - International Work Conference on Artificial Neural Networks, 10-12 June, 2015
by Jorge M. Santos Jan. 6, 2015

Jan. 6, 2015

Please consider to contribute to the Special Session on Transfer Learning International Work Conference on Artificial Neural Networks, 10-12 June, 2015 - http://iwann.ugr.es/2015 Transfer Learning (TL) aims to transfer knowledge acquired in one problem, the source problem, onto another problem, the target problem, dispensing with the bottom-up construction of the target model. The TL approach has gained significant interest in the Machine Learning (ML) community since it paves the way to devise intelligent learning models that can easily be tailored to many different domains of applicability. The following aspects have recently contributed to the emergence of TL: Generalization Theory: TL often produces algorithms with good generalization capability for different problems; Efficient TL algorithms: TL provides learning models that can be applied with far less computational effort than standard ML methods; Unlabeled data: TL can be advantageous since unlabeled data can have severe implications in some fields of research, such as in the biomedical field. Some examples of topics for this special session: Big Data with Deep Neural Networks; Generalization Bounds; Domain Adaptation or Covariate Shift; Algorithms for TL; New advancements in TL; Real-world applications. Deadline: 6 February 2015 Organizers Luís M. Silva, Dep. of Mathematics, University of Aveiro, Portugal - lmas(a)ua.pt Jorge M. Santos, Dep. of Mathematics, School of Engineering, Polytechnic of Porto, Portugal - jms(a)isep.ipp.pt

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CFP (Deadline, 1 Feb 2015): IEEE Computational Intelligence Magazine (CIM) Special Issue: “Computational Intelligence for Changing Environments"
by Dr Amir Hussain Jan. 6, 2015

Jan. 6, 2015

CALL FOR PAPERS (Deadline: 1 Feb 2015) - With advance apologies for any cross postings! IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (CIM) (http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10207) SPECIAL ISSUE (Nov 2015) ON "Computational Intelligence for Changing Environments" (http://www.cs.stir.ac.uk/~ahu/IEEE-CIM-CICE2015.pdf) 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 that 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=ieeecimcdbil2015 IMPORTANT (REVISED) DATES (for November 2015 Issue) 1st Feb, 2015: Submission of Manuscripts 15th April, 2015: Notification of Review Results 15th May, 2015: Submission of Revised Manuscripts 15th June, 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 ----- A PDF copy of the CFP is attached with this email for forwarding to interested colleagues. It is also available for download from: http://www.cs.stir.ac.uk/~ahu/IEEE-CIM-CICE2015.pdf For more information on the IEEE CIM, see: http://cis.ieee.org/ieee-computational-intelligence-magazine.html -- 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.

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MBL Methods in Computational Neuroscience Course 2015: applications due March 5
by Mark Goldman Jan. 6, 2015

Jan. 6, 2015

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 29 to August 26, 2014, and the online application form can be found at: http://ws2.mbl.edu/studentapp/studentapp.asp?CourseID=MCN. The course application deadline is March 5. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for development and work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2015 Course Directors: Michale Fee, MIT Mark Goldman, UC Davis 2015 Confirmed Faculty: Larry Abbott, Columbia University Steve Baccus, Stanford University William Bialek, Princeton University Dmitri Chklovskii, HHMI Janelia Farm Peter Dayan, University College London Bard Ermentrout, University of Pittsburgh Adrienne Fairhall, University of Washington Ila Fiete, UT Austin Loren Frank, UCSF Michael Frank, Brown University Surya Ganguli, Stanford University John Huguenard, Stanford University David Kleinfeld, UC San Diego Nancy Kopell, Boston University John Lisman, Brandeis University Eve Marder, Brandeis University Bartlett Mel, University of Southern California Jonathan Pillow, Princeton University Terry Sejnowski, Salk Institute Michael Shadlen, Columbia University Josh Shaevitz, Princeton University Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University David Tank, Princeton University Josh Tenenbaum, MIT Xiao-Jing Wang, NYU Daniel Wolpert, Cambridge University Ryohei Yasuda, Duke University

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CNS*2015 Call for Workshop Proposals - Deadline Approaching
by Farzan Nadim Jan. 5, 2015

Jan. 5, 2015

CNS 2015 Prague July 1823, 2015: Call for Workshops DEADLINE APPROACHING We are requesting proposals for workshops from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. This is a great opportunity to organize a small meeting with just a few of the headaches of actually organizing it. Workshop proposal submission instructions for CNS 2015 The last two days (July 22-23) of the 24th annual CNS meeting will be devoted to workshops, in which computationally related neuroscience topics can be presented and discussed. Workshops can be anywhere between one half to two days in duration. Usually several speakers are invited to introduce a unifying theme, but ample time for discussion should also be planned. Submit workshop proposals to: workshops(a)cnsorg.org. The Past Meetings page gives access to archives of workshops held at previous CNS meetings. The proposal should be submitted as a Word or pdf file and MUST include the following sections: 1. Workshop Title 2. Organizers (list primary organizer first; include affiliations and emails) 3. One or two days (2 sessions per day) 4. Number of expected speakers 5. Brief Description (~150 words; if possible, say why this is significant or timely) 6. Speakers (mark expected or confirmed) Also please note the following rules which were approved by the OCNS Board on July 15, 2013: Each individual can be the organizer or co-organizer on only one workshop. The number of confirmed speakers is a criterion for accepting the proposal. Overlapping proposals may be asked to be combined. If the organizers do not wish to combine the proposals, only one of the proposals may be accepted. Workshops submitted before January 15, 2015 will be given priority in acceptance. Workshop proposals arriving after January 15, 2015 will be evaluated based on remaining space for additional workshops. No further workshop acceptances will be anticipated after May 15, 2015. Registration: Workshop registration will occur through the OCNS registration web site for CNS 2015. All workshop participants, including speakers must register. Each workshop is eligible to receive registration waivers for 2 speakers. Travel awards: a limited number of Travel Awards will be available for postdoctoral researchers to lead and be included as speakers. Exceptionally starting assistant professors may also be given consideration. These Travel Awards will be variable depending on distance traveled. Please indicate which speakers you would like to be considered for this mechanism but take into account that there will be less travel awards than workshops. Springer Computational Neuroscience Book Series: Some of the workshops may be published by the Springer Series in Computational Neuroscience. Workshop organizers interested in this mechanism should submit a book proposal to Simina Calin (Simina.calin(a)springer.com) and indicate in the workshop proposal their interest in publishing a book. Logistics: Rooms, AV equipment, snacks and beverages during breaks will be provided by OCNS to the workshop organizers.

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[publication and call for dialog] IEEE CIS Newsletter on Autonomous Mental Development, Fall 2014
by Pierre-Yves Oudeyer Jan. 5, 2015

Jan. 5, 2015

Dear colleagues, For this new year, I am happy to announce the release of the Fall 2014 issue of the IEEE CIS Newsletter on Autonomous Mental Development. 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 is available at: http://www.cse.msu.edu/amdtc/amdnl/AMDNL-V11-N2.pdf Featuring: === “Trained on everything" === Dialog Initiated by Katharina Rohlfing, Britta Wrede and Gerhard Sagerer, with responses from Giulio Sandino and David Vernon, Franck Ramus and Thérèse Collins, Maha Salem, Juyang Weng, Thomas Schultz, and Christina Bergmann: 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? === "Will social robots need to be consciously aware?” === New dialog initiated by Janet Wiles A large research community is today working towards the objective of building robots capable of believable, relevant and useful social interaction with humans. We are far from understanding what “consciousness” is, but intuition tells us that it would be very difficult for an “unconscious” human to enter into a social interaction. So what about robots? At least can we identify levels of awareness (of the self, of others) which constitute a necessary basis on which to build social competence? Those of you interested in reacting to this dialog initiation are welcome to submit a response by March 30th, 2015. The length of each response must be between 600 and 800 words including references (contact pierre- yves.oudeyer(a)inria.fr) 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

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Postdoc Opportunity at Stanford in the Modulation of Neural Circuitry for Cognitive and Emotional Control
by Wei Wu Jan. 5, 2015

Jan. 5, 2015

The Laboratory of Amit Etkin, MD PhD at Stanford Universityis currently accepting applications for a postdoctoral research fellowship focused on understanding and modulating the neural systems underlying cognitive and emotional control in both healthy individuals and patients with a range of psychiatric conditions. Special emphasis is put on use of causal circuit manipulation tools (eg TMS and concurrent TMS and fMRI) as well as a range of cognitive neuroscience paradigms at the behavioral, physiological and neural levels. The successful applicant will have a PhD in Cognitive Neuroscience, Neurophysiology, Psychology, Computer Science, Statistics or related fields. Experience with analysis of fMRI data and/or TMS is required. Additional experience with psychophysiology or programming is a plus. A US Citizenship is also required. 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

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Last Mile: BIOTECHNO 2015 and BIOCOMPUTATION 2015 || May 24 - 29, 2015 - Rome, Italy
by Cristina Pascual Jan. 5, 2015

Jan. 5, 2015

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to: - BIOTECHNO 2015, The Seventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies - BIOCOMPUTATION 2015, The International Symposium on Big Data and BioComputation The submission deadline is extended to January 23, 2015. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== BIOTECHNO 2015 | BIOCOMPUTATION 2015 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS BIOTECHNO 2015, The Seventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies General page: http://www.iaria.org/conferences2015/BIOTECHNO15.html Submission page: http://www.iaria.org/conferences2015/SubmitBIOTECHNO15.html BIOCOMPUTATION 2015, The International Symposium on Big Data and BioComputation General page: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html Submission page: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#SubmitAPaper Events schedule: May 24 - 29, 2015 - Rome, Italy Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: January 23, 2015 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html BIOTECHNO 2015 Topics (for topics and submission details: see CfP on the site) Call for Papers: http://www.iaria.org/conferences2015/CfPBIOTECHNO15.html ============================================================ A. Bioinformatics, chemoinformatics, neuroinformatics and applications Bioinformatics (Bioinformatics modeling; Bioinformatics databases; Epidemic models; Informatics and statistics in bio-pharmaceutical research; Machine learning and artificial intelligence in molecular design; Systems biology and metabolic networks; Medical informatics; Genomics informatics; Biostatistics; Structural and functional genomics; Identifying molecular sequence and structure databases; Mechanisms for specifying molecular interactions and structure predictions; Formalisms for gene regulation and expression databases; Algorithms for gene identification and pattern discovery; Techniques for gene expression analysis; Modeling and simulation of biomarkers) Advanced biocomputation technologies (Stochastic modeling; Computational drug discovery; Graph theory and bioinformatics; Biological databases and information retrieval; Experimental studies and results; Application of computational intelligence in medicine and biological sciences (artificial neural networks, fuzzy logic, evolutionary computing, and simulated annealing); High-performance computing as applied to natural and medical sciences; Hardware computing accelerators; Computer-based medical systems (automation in medicine, etc.); Other aspects and applications relating to technological advancements in medicine and biological sciences; Novel applications) Chemoinformatics (Computer-aided drug design; Concepts, methods, and tools for drug discovery; Virtual screening of chemical libraries; ADMET - absorption, distribution, metabolism, excretion, and toxicity; QSAR - quantitative structure-activity relationships; Protein-ligand docking and scoring functions; Chemical similarity and diversity; Chemogenomics in drug discovery; QSPR - quantitative structure-property relationships; Theoretical models in chemical reactivity; Mathematical chemistry and chemical graphs; In silico environmental toxicology; Computer-assisted chemical engineering; Combinatorial chemistry; Graph theory in chemistry; Prediction of drug toxicity; Property prediction; Molecular mechanics and quantum chemical calculations; Modeling and measurements of solid-liquid and vapor-liquid equilibria; Blood-brain barrier penetration; Comparison of the similarity(diversity of chemo-data libraries; Chemoinformatics applications) Bioimaging ( Image processing in medicine and biological sciences; Measurements techniques; Mass spectrometry; Numerical(mathematical approaches; Biological data integration and visualization) Neuroinformatics (Neurosciences; Neurocomputing) B. Computational systems (genetics, biology, and microbiology) Bio-ontologies and semantics (Software environments for bio-computation, bio-informatics, and biomedical applications; Medical informatics; Epidemic models; Biological data mining; Biomedical knowledge discovery; Pattern classification and recognition; Mathematical biology; Graph theory and bio-informatics; Stochastic modeling; Biological databases and information retrieval; Processing mutation information; Archiving of mutation specific information) Biocomputing (Computational biology; Bioengineering; Biomedical image computing and informatics; Biomedical automation and control; Image-based diagnosis and therapy; Modeling and simulation of systems biology; Applications of large-scale bio-systems) Genetics (Gene regulation; Gene expression databases; Gene pattern discovery and identification; Genetic network modeling and inference; Gene expression analysis; RNA and DNA structure and sequencing; Evolution of regulatory genomic sequences; Biological data mining and knowledge discovery; Bio-pattern classification and recognition; Bio-sequence analysis and alignment; Comparative genomics; Structural and functional genomics; Amino acid sequencing) Molecular and Cellular Biology (Protein modeling; Molecular interactions; Metabolic modeling and pathways; Evolution and phylogenetics; Macromolecular structure prediction; Proteomics; Protein folding and fold recognition; Molecular sequence and structure databases; Molecular dynamics and simulation; Molecular sequence classification, alignment and assembly) Microbiology (Bio-nanotechnologies; Self-assembly and self-replication; Global regulatory networks and mechanisms; Microbial propagation and immunity; Microbial therapies; Microbial life under extreme energy limitation; Cellular microbiology and contact systems; Phylogenetics; Genome dynamics; Transmission dynamics and evolution of emerging diseases; Metagenomics and drug resistance; Microbes and alternative energies) C. Biotechnologies and biomanufacturing Fundamentals in biotechnologies (Bioengineering; Bioelectronics; Biomaterials; Bio-films in ecology and medicine; Biometric screening techniques; Biorobotics) Biodevices (Biosensors; Biomechanical devices; Biochips; Biocomputing; Biometrics devices; Specialized biodevices; Nanotechnology for biosystems) Biomedical technologies (Biomedical engineering; Biomedical instrumentation; Biomedical metrology and certification; Biomedical sensors; Biomedical monitoring devices; Biomedical devices with embedded computers; Biomedical integrated systems) Biological technologies (Biological data integration; Image processing in medicine and biological sciences; Biological data visualization; Synthetic biological systems) Biomanufacturing (Manufacturing platforms; Biopharmaceutical industry; Generic biopharmaceuticals; Bioprocess management; Clinical trials; Disposables and product changeover; Upstream and downstream bioprocessing; Technology benchmarks; International regulations) BIOCOMPUTATION 2015 Topics (for topics and submission details: see CfP on the site) CfP: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#CallForPapers ========================== Big Data and Context-sensitive Computation Big Data and Cloud Technology and Services in BioComputation Big Data, Cloud computing and GPU (Graphical Process Units) for BioComputation Scale-up and high-performance techniques for data-centric BioComputation Big Data and Prediction Computational Models Big Data Computation Applications Big Data and Evolution Models Big Data and BioStatistics Big Data and Personalized Healthcare Computation Big Data in Genome Analytics Big Data and Computation on Illness Patterns/Variations (cancer, diabetes, etc.) Big Data and Donor Information Big Data and Drugs-related Computation Big Data and Health/eHealth/Telemedicine Computation Big Data and Computation in Clinical Context Big Data and BioImage Computation Big Data and Molecular Modeling Big Data and Computational Physics Big Data and Biological Systems Big Data and Scalability of BioComputation Tools Big Data and Trusted Bio-Datasets Big Data BioComputation and Regulator Borders ------------------------ BIOTECHNO 2015 Committee: http://www.iaria.org/conferences2015/ComBIOTECHNO15.html BIOCOMPUTATION 2015 Committee: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#Committees ===============

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Okinawa/OIST Computational Neuroscience Course 2015: applications open
by Erik De Schutter Jan. 5, 2015

Jan. 5, 2015

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2015 Methods, Neurons, Networks and Behaviors June 8 - June 25, 2015 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 8th through June 25th, 2015 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; they will close February 8th, 2015. Applicants will receive confirmation of acceptance in March. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. Like in preceding years, OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. We invite those who are interested in integrating experimental and computational approaches at each level, as well as in bridging different levels of complexity. There is no tuition fee. The sponsor will provide lodging and meals during the course and may support travel for those without funding. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Gordon Arbuthnott (OIST) • Axel Borst (MPI, Münich, Germany) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Eugene Izihikevich (Brain Corporation, USA) • Bernd Kuhn (OIST) • Peter Latham (Gatsby Unit, UCL, UK) • Miguel Nicolelis (Duke University, USA) • Steve Prescott (University of Toronto, Canada) • John Rinzel (New York University, USA) • Jackie Schiller (Technion, Israel) • Greg Stephens (OIST) • Jeff Wickens (OIST) • Taro Toyoizumi (RIKEN BSI, Japan) • Xiao-Jing Wang (New York University, USA) • Wako Yoshida (ATR, Japan)

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Neural-Inspired Computational Elements workshop and student competition
by Aimone, James Bradley Jan. 4, 2015

Jan. 4, 2015

The 3rd Neural-Inspired Computational Elements (NICE) workshop will be held in Bernalillo, New Mexico between February 23rd and February 25th. This year's meeting will focus on the value proposition of neural inspired computing, with speakers discussing topics in neuroscience, neural-inspired algorithms, neural-inspired hardware, and application drivers. NICE is organized by scientists at Sandia National Laboratories and is co-sponsored by the Department of Energy Office of Science, DAPRA, and IARPA. For an updated speaker list and registration info, please go to http://nice.sandia.gov. STUDENT COMPETITION For this first time this year, we are having a student competition. Go to Student Thesis Competition<https://nm.kip.uni-heidelberg.de/jss/ApplyForThesisAward> (https://nm.kip.uni-heidelberg.de/jss/ApplyForThesisAward) to submit a student thesis abstract and advisor recommendation on a Neuro-inspired Computation related topic. Submissions must be in by January 16th, winners will be announced by January 30th. Three selected students will receive travel support to attend the workshop and have the opportunity to present a 10 minute 'snap overview'. Runner-up notable submissions will be considered for poster presentations during the workshop.

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postdoctoral position: olfactory coding and holographic optogentics
by Rinberg, Dmitry Jan. 4, 2015

Jan. 4, 2015

Postdoctoral position in the Rinberg (NYU) – Shoham (Technion) labs to study olfactory coding using holographic optogenetics We are seeking a talented postdoctoral researcher for our collaborative BRAIN Initiative project to study behavioral readouts of spatiotemporal codes using holographic optogenetics. The project will advance and apply a new technology for spatiotemporal patterned control of multiple neurons in the peripheral olfactory system and use behavioral responses to test how these patterns are being read. An ideal candidate should have a background in neuroscience, physics and math. Knowledge and experience in computer-generated holography, mutliphoton imaging and/or nonlinear optics are a big plus. The work will be carried out at the NYU Neuroscience Institute with possible visits to the Technion; the candidate will gain both from NYU’s thriving neuroscience community and from the Technion’s excellence in advanced technology development. Interested applicants should send a cover letter, curriculum vitae, and arrange for reference letters to be sent to Dr. Dmitry Rinberg (rinberg(a)nyu.edu<mailto:rinberg@nyu.edu>).

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CFP: Special Issue on Neurobiologically Inspired Robotics: Enhanced Autonomy Through Neuromorphic Cognition
by Jeff Krichmar Jan. 2, 2015

Jan. 2, 2015

Dear Computational Neuroscientists, I hope some of you will consider submitting to this special issue of Neural Networks (http://www.journals.elsevier.com/neural-networks/call-for-papers/special-is…) Neurobiologically inspired robotics goes by many names: brain-based devices, cognitive robots, neurorobots, and neuromorphic robots, to name a few. The field has grown into an exciting area of research and engineering. The common goal is twofold: Firstly, developing a system that demonstrates some level of cognitive ability can lead to a better understanding of the neural machinery that realizes cognitive function. The often used phrase, “understanding through building”, implies that one can get a deep understanding of a system by constructing physical artifacts that can operate in the real-world. In building and studying neurobiologically inspired robots, scientists must address theories of neuroscience that couple brain, body, and behavior. Secondly, the deep theoretical understanding of cognition, neurobiology and behavior obtained by constructing physical systems, could lead to a system that demonstrates capabilities commonly found in the animal kingdom, but rarely found in artificial systems, most notably their adaptive and flexible autonomous behavior. There have already been some successes that meet these goals. For example, navigation models based on the hippocampus are now deploy! ed on robots that autonomously explore their environment. Machine image processing systems based on visual cortex have been used in a number of unsupervised recognition and perception applications. Robots designed to address impairments due to disorders such as Alzheimer’s disease, autism spectrum disorder, and attentional deficit disorders, are being used as therapeutic and diagnostic tools without the need for constant caretaker supervision. Despite these successes, the field is still in its infancy and basic research is needed. In particular, we are interested in papers that describe: 1) How models of cognitive functions, such as attention, decision-making, learning and memory, perception, and social cognition can be constructed on physical robots. 2) How the neuromorphic devices, which are designed to run neural algorithms with low-power, can advance the construction of autonomous robotics. 3) How the theoretical and engineering lessons learned from constructing neurobiologically inspired robots can transfer to autonomous robots carrying out practical applications. This Special Issue invites papers that address the three broad topics described above. Topics of interest • Adaptive behavior • Active sensing • Artificial empathy • Cortical computing • Developmental robotics • Embodied Cognition • Neuromorphic Engineering • On-line learning and memory systems • Prediction and planning • Socially assistive robotics Guest Editors Jeffrey Krichmar, University of California, Irvine Minoru Asada, Osaka University Jorg Conradt, Technische Universitat München Important Dates Submission due: 1 Feb 2015 Acceptance notification: 1 Aug 2015 Expected publication: 1 Nov 2015 Submission instructions Each paper for submission should be formatted according to the style and length limit of Neural Networks. Please refer complete Author Guidelines at http://www.elsevier.com/journals/neural-networks/0893-6080/guide-for-authors. Note that published papers and those currently under review by other journals or conferences are prohibited. A separate cover letter should be submitted that includes the paper title, the list of all authors and their affiliations, and information of the contact author. Each paper will be reviewed rigorously, and possibly in two rounds, i.e., minor/major revisions will undergo another round of review. Prospective authors are invited to submit their papers directly via the online submission system at http://ees.elsevier.com/neunet/. To ensure that all manuscripts are correctly included into the special issue described, it is important that all authors select “SI: Neurobiological Robotics” when they reach the "Article Type" step in the submission process. 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

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ICDL-EpiRob 2015 CFP
by Benjamin Rosman Jan. 2, 2015

Jan. 2, 2015

======================================================== Call for Papers, Tutorials and Thematic Workshops New Conference Feature: BABYBOT CHALLENGE IEEE ICDL-EPIROB 2015 The Fifth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics Brown University, Providence, Rhode Island, USA August 13-16, 2015 http://www.icdl-epirob.org/ == Conference description The past decade has seen the emergence of a new scientific field that studies how intelligent biological and artificial systems develop sensorimotor, cognitive, emotional and social abilities, over extended periods of time, through dynamic interactions with their physical and social environments. This field lies at the intersection of a number of scientific and engineering disciplines including Neuroscience, Developmental Psychology, Developmental Linguistics, Cognitive Science, Computational Neuroscience, Artificial Intelligence, Machine Learning, and Robotics. Various terms have been associated with this new field such as Autonomous Mental Development, Epigenetic Robotics, Developmental Robotics, etc., and several scientific meetings have been established. The two most prominent conference series of this field, the International Conference on Development and Learning (ICDL) and the International Conference on Epigenetic Robotics (EpiRob), are now joining forces for the fifth time and invite submissions for a joint conference in 2015, to explore and extend the interdisciplinary boundaries of this field. == BABYBOT CHALLENGE -- CASH PRIZES FOR THE TOP SUBMISSIONS We are excited to announce a new ICDL-EpiRob conference feature: the BABYBOT CHALLENGE. The goal of the challenge is to use the tools of developmental robotics to replicate and extend the key findings from one of three selected human-infant studies. Please visit www.icdl-epirob.org in the coming weeks for the full announcement, including the three target studies, details on the submission process, and a description of how the winning submissions will be judged and selected. == Keynote speakers (confirmed) Prof. Dare Baldwin, Dept. of Psychology, University of Oregon, USA Prof. Kerstin Dautenhahn, School of Computer Science, University of Hertfordshire, UK == Call for Submissions We invite submissions for this exciting window into the future of developmental sciences. Submissions which establish novel links between brain, behavior and computation are particularly encouraged. == Topics of interest include (but are not limited to): * the development of perceptual, motor, cognitive, emotional, social, and communication skills in biological systems and robots; * embodiment; * general principles of development and learning; * interaction of nature and nurture; * sensitive/critical periods; * developmental stages; * grounding of knowledge and development of representations; * architectures for cognitive development and open-ended learning; * neural plasticity; * statistical learning; * reward and value systems; * intrinsic motivations, exploration and play; * interaction of development and evolution; * use of robots in applied settings such as autism therapy; * epistemological foundations and philosophical issues. Any of the topics above can be simultaneously studied from the neuroscience, psychology or modeling/robotic point of view. == Submissions will be accepted in several formats: 1. Full six-page paper submissions: Accepted papers will be included in the conference proceedings and will be selected for either an oral presentation or a featured poster presentation. Featured posters will have a 1 minute "teaser" presentation as part of the main conference session and will be showcased in the poster sessions. Maximum two-extra pages can be acceptable for a publication fee of $100 per page. 2. Two-page poster abstract submissions: To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we will accept 2-page abstracts. These submissions will NOT be included in the conference proceedings. Accepted abstracts will be presented during poster sessions. 3. Tutorials and workshops: We invite experts in different areas to organize either a tutorial or a workshop to be held on the first day of the conference. Tutorials are meant to provide insights into specific topics as well as overviews that will inform the interdisciplinary audience about the state-of-the-art in child development, neuroscience, robotics, or any of the other disciplines represented at the conference. A workshop is an opportunity to present a topic cumulatively. Workshops can be half- or full-day in duration including oral presentations as well as posters. Submission format: two pages including title, list of speakers, concept and target audience. All submissions will be peer reviewed. Submission website through paperplaza at: http://ras.papercept.net == Important dates March 9, 2015, paper submission deadline May 15, 2015, author notification July 1, 2015, final version (camera ready) due August 13th-16th, 2015, conference == Program committee General Chairs: Matthew Schlesinger (Southern Illinois Univ.) Dima Amso (Brown Univ.) Bridge Chairs: Jeffrey Krichmar (UC Irvine) Bertram Malle (Brown University) Program Chairs: Anne Warlaumount (UC Merced) Clemént Moulin-Frier (INRIA) Publications Chairs: Lisa Meeden (Swarthmore College) Publicity Chairs: Lola Cañamero (Univ. of Hertfordshire) Matthias Rolf (Osaka University) Benjamin Rosman (Univ. of the Witwatersrand) Local chairs: David Sobel (Brown University) Thomas Serre (Brown University) Finance chairs: Clayton Morrison (University of Arizona) -- This message is subject to the CSIR's copyright terms and conditions, e-mail legal notice, and implemented Open Document Format (ODF) standard. The full disclaimer details can be found at http://www.csir.co.za/disclaimer.html. This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean. Please consider the environment before printing this email.

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Call for Papers: IEEE IJCNN'2015 Special Session on: "Emerging Methodologies for Big Data Integration"
by Dr Amir Hussain Dec. 28, 2014

Dec. 28, 2014

CALL FOR PAPERS IEEE IJCNN 2015 Special Session on *"*Emerging Methodologies for Big Data Integration*"* July 12 - 17, 2015, Killarney, Ireland ( http://www.ijcnn.org/ ) ********************************************************** IMPORTANT DATES Paper submission: January 15th, 2015 Paper Decision notification: March 15th, 2015 Camera-ready submission: April 15th, 2015 Conference Dates: July 12 - 17th, 2015 *********************************************************** Over the years, huge quantities of data have been generated by large-scale scientific experiments (biomedical, “omic”, imaging, astronomical, etc.), big industrial companies and on the web. One of the main characteristics of such Big Data is that they are multi-view, i.e. there are multiple sources (in the “omics” sciences, experiments related to mRNA, miRNA etc.), relate the same patterns (in this case patients) or multi-domain (in biomedical applications for examples, “omics, imaging and clinical data). As a consequence, new methodologies based on neural networks, machine and statistical learning, computation Intelligence and others, have been proposed to integrate these kinds of big data and to elicit relevant information to infer novel models and correlations. The aim of the special session is to solicit new approaches to real world scientific and industrial big data integration, as well as applications of above mentioned Big Data methodologies. *Topics** Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics: Multi-view learning Multi-view clustering data fusion data integration multi-view data applications multi domain data applications THE DEADLINE FOR THE PAPER SUBMISSION TO THE SPECIAL SESSION IS THE SAME OF IJCNN 2015, January 15th 2015. All the submissions will be peer-reviewed with the same criteria used for other contributed papers. Perspective authors will submit their papers through the IJCNN2015 conference submission system at http://www.ijcnn.org/ Please make sure to select the Special Session "Emerging Methodologies for Big Data Integration " from the "S. SPECIAL SESSION TOPICS" name in the "Main Research topic" dropdown list; Templates and instructions for authors will be provided on the IJCNN webpage http://www.ijcnn.org/ All papers submitted to the special sessions will be subject to the same peer-review procedure as regular papers, accepted papers will be published in the conference proceedings. Further information about IJCNN 2015 can be fond at http://www.ijcnn.org/ and about the special session at http://neuronelab.unisa.it/emerging-methodologies-for-big-data-integration/ *********************************************************** **Organizers** - Amir Hussain Professor of Computing Science and founding Director of the Cognitive Signal-Image Processing and Control Systems Research (COSIPRA) Laboratory, University of Stirling, UK (E-mail: ahu(a)cs.stir.ac.uk http://cs.stir.ac.uk/~ahu) - Giovanni Montana Professor and Chair in Biostatistics and Bioinformatics, Biomedical Engineering Department, King’s College, London, UK - Francesco Carlo Morabito Professor and Chair of the Neurolab, Dipartimento DICEAM, Università Mediterranea di Reggio Calabria, Italy - Roberto TAGLIAFERRI Professor and Chair of the Neuronelab, Dipartimento di Informatica, Università di Salerno, Italy **Technical Program Committee (being continuously updated)** Elia Mario Biganzoli, Università di Milano, Italy Erik Cambria, NTU, Singapore Ciro Donalek, Caltech, CA, USA Anna Esposito, Seconda Università di Napoli, Italy Marcos Faundez-Zanuy, Escola Universitaria Politecnica de Mataro (Tecnocampus), Spain Alexander Gelbukh, National Polytechnic Institute, Mexico Dario Greco, FIOH, Finland Newton Howard, MIT Media Lab, USA Pietro Liò, University of Cambridge, UK Bin Luo, Anhui University, China Mufti Mahmud, Antwerp University, Belgium Riccardo Rizzo, CNR, Italy Jingpeng Li, University of Stirling, UK Domenico Ursino, Università Mediterranea di Reggio Calabria, Italy Alfredo Vellido, Universidad Politécnica de Cataluña, Spain Pierangelo Veltri, Università "Magna Graecia" di Catanzaro, Italy Jonathan Wu, University of Windsor, Canada Yunqing Xia, Tsinghua University, China Kang Li, Queen's University, Belfast, UK Dongbing Gu, Essex University, UK Vincent C. Müller, Anatolia College/ACT, Greece & Oxford University, UK Dongbin Zhao, Chinese Academy of Sciences, Beijing, China *********************************************************** -- 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.

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Teaching Computational Neuroscience
by Érdi Péter Dec. 28, 2014

Dec. 28, 2014

A multiple book review: http://arxiv.org/abs/1412.5909 Péter Érdi http://people.kzoo.edu/~perdi/

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UC Santa Barbara Postdoc fellowship announcement
by John Hajda Dec. 23, 2014

Dec. 23, 2014

SAGE JUNIOR FELLOW PROGRAM, SAGE CENTER FOR THE STUDY OF MIND, UNIVERSITY OF CALIFORNIA, SANTA BARBARA Job number JPF00417 Four postdoctoral positions will be available beginning on September 1, 2015. This is a three-year fellowship, and the competition is open to all qualified candidates regardless of institutional affiliation. The SAGE Center Junior Fellowship Program, established in 2011, fosters interdisciplinary research in the study of brain-mind interaction at the postdoctoral level. We are seeking a group of highly collaborative, interacting fellows who are willing to take different approaches to shared conceptual challenges. Qualified applicants should be able and will be encouraged to utilize the UCSB Brain Imaging Center (http://www.bic.ucsb.edu/) The Center supports the new PRISMA (3T) Siemens magnet as well as MRI compatible high density electroencephalography hardware. Center funding will be available for imaging studies. In addition to developing research programs in close collaboration with individual faculty, Junior Fellows will enjoy special privileges, including access to visiting SAGE Scholars and attendance at regular group meetings to collaborate and share information about the role of psychology, cognitive neuroscience, economics, political science, anthropology, biology, physics, engineering, the arts, philosophy and other disciplines on the study of brain, mind and behavior. To be eligible for the Junior Fellows program, a candidate must have been awarded a doctoral degree or foreign equivalent within the past five years. Proposed research topics must be related to brain-mind interaction. Interdisciplinary approaches are encouraged. We will strive to create a team based on common interests of the top applicants. To apply, please submit: 1. A complete CV, published article and three letters of recommendation 2. A statement of your research interests and a description of how those interests complement the goals of the SAGE Center. For primary consideration, apply by February 1, 2015, although we will accept applications until the positions are filled. Please submit your application at https://recruit.ap.ucsb.edu/apply/JPF00417. Inquiries about your application may be directed to juniorfellows(a)sagecenter.ucsb.edu; include your last name in the subject line of all correspondence. Michael S. Gazzaniga, Ph.D. Director, SAGE Center for the Study of Mind University of California, Santa Barbara http://www.sagecenter.ucsb.edu/ http://www.psych.ucsb.edu/~gazzanig/ The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service. 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, or any other characteristic protected by law including protected Veterans and individuals with disabilities. -- John Hajda, Ph.D. Associate Director Sage Center for the Study of the Mind Department of Psychological and Brain Sciences University of California, Santa Barbara Santa Barbara, CA 93106-9660 Phone 805-893-4460 Fax 805-893-3228 hajda(a)sagecenter.ucsb.edu http://www.sagecenter.ucsb.edu/

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New Brain Computation Paper
by MICHAEL FORREST Dec. 23, 2014

Dec. 23, 2014

A new paper that some may find interesting: Forrest MD (2014) The sodium-potassium pump is an information processing element in brain computation. Frontiers in Physiology. 5:472. doi: 10.3389/fphys.2014.00472 FREELY available at: http://journal.frontiersin.org/Journal/10.3389/fphys.2014.00472/full

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[Call for applications] *Graduate Programs in Computational Neuroscience* in Berlin; MSc and PhD; 7 PhD scholarships; deadline March 15, 2015
by Robert Martin Dec. 19, 2014

Dec. 19, 2014

[Apologies for cross-posting] *Doctoral* and *Master Program* "Computational Neuroscience" at the Bernstein Center for Computational Neuroscience Berlin in Berlin, Germany Application deadline: *March 15, 2015* Begin of courses: October 2015 Internet: www.computational-neuroscience-berlin.de _Doctoral Program_ The Bernstein Center for Computational Neuroscience Berlin and the TU Berlin invite applications for *7 fellowships* of the Research Training Group "Sensory Computation in Neural Systems" (GRK 1589/2, https://www.eecs.tu-berlin.de/grk_15891/menue/sensory_computation_in_neural…) The *scientific program* of the research training group combines techniques and concepts from machine learning, computational neuroscience, and systems neurobiology in order to specifically address sensory computation. Doctoral candidates will work on interdisciplinary projects investigating the mechanisms of neural computation, address the processes underlying perception on different scales and different levels of abstraction, and develop new theories of computation hand in hand with well-controlled experiments in order to put functional hypotheses to the test. The training group offers structured supervision complemented by a teaching and training program. Each student will be supervised by two investigators with complementary expertise and will be associated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) a leading research center dedicated to the theoretical study of neural processing. Candidates are expected to hold a Masters degree (or equivalent) in a relevant subject (e.g., neuroscience, cognitive science, computer science, physics, mathematics, etc.) and have the required advanced mathematical background. Candidates selected in the first application step will be invited for lab visits and an interview, expected to take place in June 2015. The *fellowships of 1468 €/month* - with additional children allowances if applicable---will be granted for up to three years. _Master's Program_ The tuition-free Master program in Computational Neuroscience offers *15 places* per year, has a duration of 2 years and is fully taught in English. The *curriculum* is subdivided into ten modules, whose content includes theoretical neuroscience, programming, machine learning, cognitive neuroscience, acquisition, modelling, and computational analysis of neural data, with a strong focus on a complementary theoretical and experimental training. Three lab rotations and a Master's thesis are accomplished in the second year. The aim of the program is to provide the students with an interdisciplinary education and an early contact to the neurocomputational research environment. *Requirements* BSc or equivalent degree in a relevant subject (typically in the natural sciences, in an engineering discipline, in cognitive science, or in mathematics), certificate of English proficiency, proof of sufficient mathematical knowledge (at least 24 ECTS credit points). ~~~ _For more information_ ... ... come and visit us on our *information day* on January 14, 2015, at 3 PM (sharp) at the BCCN Berlin: https://www.bccn-berlin.de/Calendar/Events/event/?contentId=3667 ... or browse: www.computational-neuroscience-berlin.de ... or e-mail: graduateprograms(a)bccn-berlin.de . Best regards, Robert Martin -- Robert Martin, PhD Teaching Coordinator Bernstein Center for Computational Neuroscience Humboldt-Universitaet zu Berlin Philippstr. 13 House 6; 10115 Berlin; Germany Phone/Fax +49 (0)30 2093 6773/6771 http://www.computational-neuroscience-berlin.de GRK 1589/1, Sensory Computation in Neural Systems Technische Universitaet Berlin Sekretariat MAR 5-6; Marchstr. 23; 10587 Berlin Phone/Fax +49 (0)30 314 72006/73121 http://www.eecs.tu-berlin.de/grk_15891/

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Advanced Scientific Programming in Python Summer School
by Emanuele Olivetti Dec. 19, 2014

Dec. 19, 2014

Advanced Scientific Programming in Python ========================================= a Summer School by the G-Node, the Bernstein Center for Computational Neuroscience Munich and the Graduate School of Systemic Neurosciences Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques, incorporating theoretical lectures and practical exercises tailored to the needs of a programming scientist. New skills will be tested in a real programming project: we will team up to develop an entertaining scientific computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python is assumed. Participants without any prior experience with Python should work through the proposed introductory materials before the course. Date and Location ================= August 31—September 5, 2015. Munich, Germany. Preliminary Program =================== Day 0 (Mon Aug 31) — Best Programming Practices • Best Practices for Scientific Computing • Version control with git and how to contribute to Open Source with github • Object-oriented programming & design patterns Day 1 (Tue Sept 1) — Software Carpentry • Test-driven development, unit testing & quality assurance • Debugging, profiling and benchmarking techniques • Advanced Python: generators, decorators, and context managers Day 2 (Wed Sept 2) — Scientific Tools for Python • Advanced NumPy • The Quest for Speed (intro): Interfacing to C with Cython • Contributing to Open Source Software/Programming in teams Day 3 (Thu Sept 3) — The Quest for Speed • Writing parallel applications in Python • Python 3: why should I care • Programming project Day 4 (Fri Sept 4) — Efficient Memory Management • When parallelization does not help: the starving CPUs problem • Programming project Day 5 (Sat Sept 5) — Practical Software Development • Programming project • The Pelita Tournament Every evening we will have the tutors' consultation hour: Tutors will answer your questions and give suggestions for your own projects. Applications ============ You can apply on-line athttps://python.g-node.org Applications must be submitted before 23:59 UTC, March 31, 2015. Notifications of acceptance will be sent by May 1, 2015. No fee is charged but participants should take care of travel, living, and accommodation expenses. Candidates will be selected on the basis of their profile. Places are limited: acceptance rate is usually around 20%. Prerequisites: You are supposed to know the basics of Python to participate in the lectures Preliminary Faculty =================== • Francesc Alted, freelance developer, author of PyTables, Spain • Pietro Berkes, Enthought Inc., UK • Kathryn D. Huff, Department of Nuclear Engineering, University of California - Berkeley, USA • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, USA • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de Lausanne, Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Nelle Varoquaux, Centre for Computational Biology Mines ParisTech, Institut Curie, U900 INSERM, Paris, France • Stéfan van der Walt, Applied Mathematics, Stellenbosch University, South Africa • Niko Wilbert, TNG Technology Consulting GmbH, Germany • Tiziano Zito, Forschungszentrum Jülich GmbH, Germany Organized by Tiziano Zito (head) and Zbigniew Jędrzejewski-Szmek for the German Neuroinformatics Node of the INCF Germany, Christopher Roppelt for the German Center for Vertigo and Balance Disorders (DSGZ) and the Graduate School of Systemic Neurosciences (GSN) of the Ludwig-Maximilians-Universität Munich Germany, Christoph Hartmann for the Frankfurt Institute for Advanced Studies (FIAS) and International Max Planck Research School (IMPRS) for Neural Circuits, Frankfurt Germany, and Jakob Jordan for the Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6), Jülich Research Centre and JARA. Additional funding provided by the Bernstein Center for Computational Neuroscience (BCCN) Munich. Website:https://python.g-node.org Contact:python-info@g-node.org

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2 Post-doc positions on the relation of information and causation (Prof. Giulio Tononi)
by Larissa Albantakis Dec. 17, 2014

Dec. 17, 2014

Up to 2 postdoctoral positions are available at the center for sleep and consciousness science in the laboratory of Dr. Giulio Tononi (University of Wisconsin, Madison), to study the relation of information and causation within the framework of the integrated information theory of consciousness (Balduzzi & Tononi, 2008; Tononi, 2012). Immediate funding is available for a range of projects related to foundational questions regarding the ontological status of information, and its relation to causation, emergence, adaptation, evolution, and consciousness (see detailed scope of work below). Successful candidates will work at the center for sleep and consciousness science, dedicated to a broad range of research problems focused on two neurobiological problems -- the mechanisms and functions of sleep and the neural substrates of consciousness. Candidates are expected to have strong training in an analytically rigorous discipline such as theoretical biology/neuroscience, physics, mathematics, computer science, or engineering. For at least one of the positions, we explicitely encourage mathematicians to apply. Experience in information theory, complex systems, and an interest in the philosophy of information/causation are a plus. Programming experience is required (knowledge of MATLAB and/or C++ is of advantage). Appointments are renewable from year to year for up to 3 years, starting as soon as possible or until the positions are filled. Post-doc salaries correspond to the National Institutes of Health National Research Service Award (NRSA) stipend schedule for postdoc trainees, based on number of years of postdoctoral experience. Candidates should send a CV, brief statement of previous research and future research interests, and email addresses and phone numbers of three references to: Giulio Tononi, gtononi(a)wisc.edu. Balduzzi D, Tononi G (2008) Integrated information in discrete dynamical systems: motivation and theoretical framework. /PLoS Comput Biol/ 4:e1000091. Hoel, E. P., Albantakis, L., & Tononi, G. (2013). Quantifying causal emergence shows that macro can beat micro. /PNAS/, /110/(49), 19790--19795. Tononi G (2012) Integrated Information Theory of Consciousness: An Updated Account. /Arch Ital Biol/ 150:56--90. The scope of work will range from: -theoretical development and computational implementation of the notion of intrinsic causal information -causal analysis, including the systematic use of perturbations, counterfactuals, and irreducibility -analysis of complex systems in terms their causal/informational structure -meaning (understanding and control) from the intrinsic perspective of the system -actual causation (causal explanation) -examining similarities and differences between existing notions of information and causation (Shannon information, algorithmic information,...) -defining emergence in terms of the spatio-temporal grain size at which a system of elements achieves a maximum of causal power -evolutionary/adaptive aspects of information/causation including simulations based on small adaptive neural networks (animats), which evolve and adapt to an environment that requires sensitivity to context for survival

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Announcement of Conference Net-works 2015
by jtorres Dec. 17, 2014

Dec. 17, 2014

Dear Colleagues This is the first announcement for participation in the 7th International conference on Complex Networks and their Interdisciplinary Applications, Net-works 2015, which will be held in Granada (Spain) from September 16th to September 18th 2015 (Please follow the link below for further information) http://ergodic.ugr.es/networks2015/ As in previous editions, this conference is devoted to present and exchange the latest results concerning the theory and application of complex networks in different aspects of nature, society and technology. In the last years, there was an increasing interest of the computational neuroscience community in the study of the features of the complex networks underlying the structure of actual neural systems, and how these features influence their emergent behavior. For this reason, the organizing committee of Net-works 2015 encourages computational neuroscientists interested in this research topic to attend and participate in this conference. The program of Net-Works 2015 includes a set of invited plenary talks from very well- known experts in the field of complex networks, a number to be determined of talks selected from the received abstracts and one or two poster sessions. Tentative list of key-note speakers: -Ginestra Bianconi School of Mathematics. Queen Mary University of London, UK -Stefano Boccaletti Institute for Complex Systems, CNR, Italy -Shlomo Havlin Bar-Ilan University, Israel -JÃ¼rgen KurthsPotsdam Institute for Climate Impact Research, Germany -Miguel A. MuÃ±oz Institute Carlos I for Theoretical and Computational Physics, U. Granada, Spain Important dates for abstract submission and registration follows: Abstract submission: May 22th 2015 Contribution acceptance: June 15th 2015 Early registration (with a reduction of the registration fee): before September 15th, 2015. Abstracts (with a maximum of 250 words) must be submitted to the e-mail address below: abstracts(a)eurocongres.es It is a pleasure for me to kindly invite you to participate in Net-Works 2015. We look forward to seeing you in Granada! Joaquin J. Torres General Chair Net-Works 2015 International Conference Please visit the conference web page for further information: http://ergodic.ugr.es/networks2015/

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Announcing Okinawa Computational Neuroscience Course 2015
by Erik De Schutter Dec. 17, 2014

Dec. 17, 2014

OKINAWA COMPUTATIONAL NEUROSCIENCE COURSE 2015 Methods, Neurons, Networks and Behaviors June 8 - June 25, 2015 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 8th through June 25th, 2015 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications will open on January 5th and are through the course web page (https://groups.oist.jp/ocnc) only; they will close February 8th, 2015. Applicants will receive confirmation of acceptance in March. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. Like in preceding years, OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. We invite those who are interested in integrating experimental and computational approaches at each level, as well as in bridging different levels of complexity. There is no tuition fee. The sponsor will provide lodging and meals during the course and may support travel for those without funding. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Gordon Arbuthnott (OIST) • Axel Borst (MPI, Münich, Germany) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Eugene Izihikevich (Brain Corporation, USA) • Bernd Kuhn (OIST) • Peter Latham (Gatsby Unit, UCL, UK) • Miguel Nicolelis (Duke University, USA) • Steve Prescott (University of Toronto, Canada) • John Rinzel (New York University, USA) • Jackie Schiller (Technion, Israel) • Greg Stephens (OIST) • Jeff Wickens (OIST) • Taro Toyoizumi (RIKEN BSI, Japan) • Xiao-Jing Wang (New York University, USA) • Wako Yoshida (ATR, Japan)

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workshop on Brain Circuits, Memory and Computation
by Aurel A. Lazar Dec. 16, 2014

Dec. 16, 2014

Columbia Workshop on Brain Circuits, Memory and Computation BCMC 2015 <http://www.bionet.ee.columbia.edu/workshops/bcmc/2015> Monday and Tuesday, March 16-17, 2015 Center for Neural Engineering and Computation <http://www.cnec.columbia.edu/> Columbia University, New York, NY 10027 Overview The goal of the workshop is to bring together researchers interested in developing executable models of neural computation/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encoding/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various computational sensory and control models. Confirmed Invited Speakers Yoshi Aso <http://www.janelia.org/people/scientist/yoshi-aso>, Janelia Research Campus, Ashburn, VA. Dmitri "Mitya" B. Chklovskii <http://www.simonsfoundation.org/about-us/staff/staff-bios/>, Simons Center for Data Analysis, Simons Foundation. Damon A. Clark <http://clarklab.commons.yale.edu/>, Department of Molecular, Cellular, and Developmental Biology, Yale University. Daniel Coca <https://www.sheffield.ac.uk/acse/staff/dc>, Department of Automatic Control and Systems Engineering, University of Sheffield. Fabrizio Gabbiani <http://glab.bcm.tmc.edu/>, Dept. of Neuroscience, Baylor College of Medicine, and Computational and Applied Mathematics, Rice University. Charles Randy Gallistel <http://ruccs.rutgers.edu/~galliste/>, Rutgers Center for Cognitive Science, Rutgers University. Charles D. Gilbert <http://lab.rockefeller.edu/gilbert/>, Laboratory of Neurobiology, Rockefeller University. Vivek Jayaraman <http://www.janelia.org/lab/jayaraman-lab>, Janelia Research Campus, Ashburn, VA. Mikko I. Juusola <http://www.shef.ac.uk/bms/research/juusola>, Department of Biomedical Science, University of Sheffield. Anthony Leonardo <http://janelia.org/people/scientist/anthony-leonardo>, Janelia Research Campus, Ashburn, VA. Wolfgang Maas <http://www.igi.tugraz.at/maass/>, Institute for Theoretical Computer Science, Graz University of Technology, Graz, Austria. Gary F. Marcus <http://www.psych.nyu.edu/gary/>, Department of Psychology, New York University. Stefan Mihalas <http://www.alleninstitute.org/our-institute/our-team/profiles/stefan-mihala…>, Allen Institute for Brain Science, Seattle, WA. Barbara Webb <http://homepages.inf.ed.ac.uk/bwebb/>, School of Informatics, University of Edinburgh. Further details are available at BCMC 2015 <http://www.bionet.ee.columbia.edu/workshops/bcmc/2015>. Aurel http://www.bionet.ee.columbia.edu

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Brains, Minds and Machines Summer Course 2015
by Kreiman, Gabriel Dec. 16, 2014

Dec. 16, 2014

Brains, Minds and Machines Course Date: August 13 – September 3, 2015 http://www.mbl.edu/education/special-topics-courses/brains-minds-and-machin… Directors: L. Mahadevan, Harvard University; and Tomaso Poggio, Massachusetts Institute of Technology This intensive three-week course will give advanced students a “deep end” introduction to the problem of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines. Today’s AI technologies, such as Watson and Siri and Deep Learning, are impressive, but their domain specificity and reliance on vast numbers of labeled examples are obvious limitations; few view this as brain-like or human intelligence. The synergistic combination of cognitive science, neurobiology, engineering, mathematics, and computer science holds the promise to build much more robust and sophisticated algorithms implemented in intelligent machines *and* to begin understanding how the brain produces the mind. The goal of this course is to help produce a community of leaders that is equally knowledgeable in neuroscience, cognitive science, and computer science. The first half of the course will focus on the intersection between biological and computational aspects of learning and vision. The second half will focus on high-level social cognition and artificial intelligence, as well as audition, speech and language processing. Throughout the course, students will participate in tutorials to gain hands on experience with these topics. The course will culminate with student projects on a chosen aspect of the problem of intelligence. Course instructors will include: Tomaso Poggio Gabriel Kreiman Nancy Kanwisher Winrich Freiwald Matt Wilson Josh Tenenbaum Liz Spelke Boris Katz L Mahadevan Jim DiCarlo Aude Oliva Gabriel Kreiman klab.tch.harvard.edu Use "9265358979" anywhere in the message body to ensure that your message navigates through anti spam filters

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Graduate Training in Brain and Cognitive Sciences at the University of Rochester
by Ralf Haefner Dec. 16, 2014

Dec. 16, 2014

The Department of Brain and Cognitive Sciences (BCS) at the University of Rochester offers opportunities for students interested in earning a doctoral degree in one of the most exciting fields of scientific endeavor. Particular areas of research strength include: sensory processing and decision-making, perception and action, development and learning, language, concepts and categories. Full details can be found at: http://www.bcs.rochester.edu/index.php. We seek outstanding candidates from a variety of backgrounds looking for a rigorous program of study and exceptional mentoring in research. All students admitted to the program are offered graduate fellowships that provide a competitive stipend, and that cover the costs of tuition and single plan health insurance. The Department has a number of new faculty with research programs focusing on cognitive neuroscience, development of language and cognition, language learning, theoretical and computational neuroscience, and visual neuroscience. Interested applicants can find details at http://www.bcs.rochester.edu/graduate/admission.html.

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The First International Conference on Mathematical Neuroscience (ICMNS)
by Olivier Faugeras Dec. 16, 2014

Dec. 16, 2014

*Second announcement* 1st International Conference on Mathematical Neuroscience (ICMNS) June 8 - 10, 2015 Antibes - Juan les Pins, France https://icmns2015.inria.fr The goal of this conference is to bring together theoretical neuroscientists and mathematicians interested in using mathematical concepts and methods for solving problems posed by neuroscience. It is motivated by the idea that many outstanding questions concerning the functioning/dysfunctioning of brains at multiple spatial and temporal scales will require the use of a wide range of mathematical tools, including, but not restricted to, functional analysis, dynamical systems theory, bifurcation theory, probability and statistics, stochastic calculus, geometry, information theory, and numerical analysis. It is also likely that neuroscience will spawn new areas of mathematics. The conference will be single track. It will feature three keynote lectures, oral presentations, and poster presentations. The keynote lecturers are Susanne Ditlevsen (University of Copenhagen, Denmark), stochastic processes in neuroscience, Bard Ermentrout (University of Pittsburgh, USA), neurodynamics, and Yves Frégnac (CNRS, France), neuroscience of vision. Call for contributions Oral presentations will be selected from the submission of one-page abstracts. Poster presentations will be selected from the submissions of a half a page abstracts. Accepted oral contributions will be considered for possible publication in a special issue of the Journal of Mathematical Neuroscience. See the page https://icmns2015.inria.fr/accepted-papers/ for LaTeX and Word templates and how to submit. Important dates: Submission deadline: February 2, 2015 Notification of acceptance: February 27, 2015 Best regards, Olivier Faugeras --------------------------------------------------------------------------------------- : Olivier Faugeras : Professor : Equipe INRIA NeuroMathComp Team : co-editor in chief, Journal of Mathematical Neuroscience : http://www-sop.inria.fr/members/Olivier.Faugeras/index.en.html : Email: olivier.faugeras(a)inria.fr : Tel: +334 92 38 78 31 : Sec: +334 92 38 78 30 : ---------------------------------------------------------------------------------------

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INNS BigData 2015 San Francisco - New Conference! Calls for Papers, Special Sessions, Tutorials and Workshops!
by Asim Roy Dec. 16, 2014

Dec. 16, 2014

Apologies for cross-posting. <http://www.innsbigdata.org/> [http://innsbigdata.org/wp-content/uploads/2014/09/banner.jpg]<http://www.innsbigdata.org/> INNS Conference on Big Data 2015 New approaches to solving hard Big Data problems! 8 - 10 August 2015, San Francisco www.innsbigdata.org<http://www.innsbigdata.org/> The aim of the INNS BigData conference is to promote new advances and research directions in 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 Big Data Analytics to solve real-world problems (e.g. weather prediction, transportation, energy management). Please refer to our website for a more detailed list of topics. Being INNS' inaugural conference on the theme of big data, we are especially motivated to synthesize ideas, promote activities and generate broad interest in areas where neural networks have many unique advantages. We also have Twitter<https://twitter.com/inns_bigdata>, Facebook<https://www.facebook.com/innsbigdata15/> and Google+<https://plus.google.com/112891798437473029046> pages! Call for Special Sessions<http://innsbigdata.org/special-sessions/> Any proposal can be sent by e-mail to: INNSBigData2015SpecialSessions(a)gmail.com<mailto:INNSBigData2015SpecialSessions@gmail.com> Deadline: January 22, 2015 Call for Tutorials<http://innsbigdata.org/tutorials/> Any questions can be sent to the Tutorials Chairs: Marley Vellasco (PUC-Rio. Rio de Janeiro. Brazil)<mailto:Marley%20Vellasco%20(PUC-Rio.%20Rio%20de%20Janeiro.%20Brazil)%20%3cmarley@ele.puc-rio.br%3e> and Trevor Martin (Univ. of Bristol, UK)<mailto:Trevor%09Martin%20(Univ.%20of%20Bristol.%20UK)%20%3ctrevor.martin@bristol.ac.uk%3e>. Deadline: January 22, 2015 Call for Workshops<http://innsbigdata.org/workshops/> For further details contact the Workshop Chairs: Marley Vellasco (PUC-Rio. Rio de Janeiro. Brazil)<mailto:Marley%20Vellasco%20(PUC-Rio.%20Rio%20de%20Janeiro.%20Brazil)%20%3cmarley@ele.puc-rio.br%3e> and Trevor Martin (Univ. of Bristol, UK)<mailto:Trevor%09%09%20%20Martin%20(Univ.%20of%20Bristol.%20UK)%20%3ctrevor.martin@bristol.ac.uk%3e>. Deadline: January 22, 2015 [http://innsbigdata.org/wp-content/uploads/2014/09/new.gif]The Elsevier USD 2000 Big Data Best Paper Award:<http://innsbigdata.org/best-paper-award/> This award recognizes the best paper presented at the INNS Big Data conference. Both application and theoretical papers will be considered. It will be awarded by the Big Data Analytics Section of the International Neural Network Society and is sponsored by Elsevier. The Award consists of a plaque and a $2000 honorarium. ________________________________ [http://innsbigdata.org/wp-content/uploads/2014/09/new.gif]Dr. Fen Zhao Talk<http://innsbigdata.org> Dr. Fen Zhao, a Staff Associate at the Office of the Assistant Director (OAD) for Computer & Information Science & Engineering (CISE) at the National Science Foundation, will give a talk on national big data R&D initiative and on building public-private partnerships around CISE's Big Data, next generation internet, and cybersecurity R&D portfolios. ________________________________ Plenary Speakers:<http://innsbigdata.org/> [http://innsbigdata.org/wp-content/uploads/2014/11/Bin-Yu.jpg] Prof. Bin Yu<https://www.stat.berkeley.edu/~binyu/Site/Welcome.html>, Chancellor´s Professor, University of California<http://www.universityofcalifornia.edu/>, Berkeley. Bin Yu is Chancellor’s Professor in the Departments of Statistics and of Electrical Engineering & Computer Science at the University of California at Berkeley. She held faculty positions at UW-Madison and Yale University and was a Member of Technical Staff at Lucent Bell Labs. She was Chair of Department of Statistics at Berkeley from 2009 to 2012, and is a founding co-director of the Microsoft Joint Lab on Statistics and Information Technology at Peking University where she is also Chair of the scientific advisory committee of the Center for Statistical Sciences. She has published over 80 scientific papers in premier journals in statistics, machine learning, information theory, signal processing, remote sensing, neuroscience, network analysis, and bioinformatics. [http://innsbigdata.org/wp-content/uploads/2014/11/Raghu.jpg] Prof. Raghu Ramakrishnan<http://pages.cs.wisc.edu/~raghu/>, Head of Cloud and Information Services Lab (CISL) and big data team, Microsoft<http://research.microsoft.com/en-us/events/fs2013/raghu-ramakrishnan_bigdat…> Raghu Ramakrishnan heads the Cloud and Information Services Lab (CISL) in the Data Platforms Group at Microsoft, and leads development for the Big Data team. From 1987 to 2006, he was a professor at University of Wisconsin-Madison, where he wrote the widely-used text “Database Management Systems” and led a wide range of research projects in database systems (e.g., the CORAL deductive database, the DEVise data visualization tool, SQL extensions to handle sequence data) and data mining (scalable clustering, mining over data streams). In 1999, he founded QUIQ, a company that introduced a cloud-based question-answering service. He joined Yahoo! in 2006 as a Yahoo! Fellow, and over the next six years served as Chief Scientist for the Audience (portal), Cloud and Search divisions, driving content recommendation algorithms (CORE), cloud data stores (PNUTS), and semantic search (“Web of Things”). Ramakrishnan has received several awards, including the ACM SIGKDD Innovations Award, the SIGMOD 10-year Test-of-Time Award, the IIT Madras Distinguished Alumnus Award, and the Packard Fellowship in Science and Engineering. [http://innsbigdata.org/wp-content/uploads/2014/11/brenda.jpg] Prof. Brenda Dietrich,<https://www-03.ibm.com/ibm/history/witexhibit/wit_fellows_dietrich.html> IBM Fellow and VP, Leads the Emerging Technologies Team for IBM Watson, IBM<http://www.ibm.com/ibm/ideasfromibm/us/ibm_fellows/> Brenda Dietrich is an IBM Fellow and Vice President. She joined IBM in 1984 and has worked in the area now called analytics for her entire career, applying data and computation to business decision processes throughout IBM. For over a decade she led the Mathematical Sciences function in the IBM Research division where she was responsible for both basic research on computational mathematics and for the development of novel applications of mathematics for both IBM and its clients. She has been the president of INFORMS, has served on the Board of Trustees of SIAM, and is a member of several university advisory boards. She holds more than a dozen patents, has co-authored numerous publications, and frequently speaks on analytics at conferences. She was elected to the National Academy of Engineering in 2014. She holds a BS in Mathematics from UNC and an MS and Ph.D. in OR/IE from Cornell. Her personal research includes manufacturing scheduling, services resource management, transportation logistics, integer programming, and combinatorial duality. She currently leads the emerging technologies team for IBM Watson, extending and applying IBM’s cognitive computing technology. ________________________________ Important Dates<http://innsbigdata.org/important-dates/> * Paper submission:<http://innsbigdata.org/paper-submission/> March 22, 2015. * Paper Decision Notification: May 22, 2015. * Camera Ready Submission of papers: June 8, 2015. ________________________________ We have an enthusiastic team working hard on the conference program and events. Start thinking about your paper submissions. Our Chairs for the [Special Sessions, Tutorials, and Workshops] are expecting your proposals soon - email them to discuss your ideas. Come to San Francisco next summer to take part in the future of BigData, and to have fun!! Neural Networks Special Issue: Neural Network Learning in Big Data<http://www.journals.elsevier.com/neural-networks/call-for-papers/special-is…> 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). Manuscript submission due: January 15, 2015 Big Data Analytics Section @ INNS<http://www.inns.org/big-data-section> Considering the growing interest to process and analyse big data, the International Neural Network Society (INNS) has a new Section on Big Data Analytics (BDA) to help the neural network field position itself as a leading technology contributor to big data analytics. Anyone who is interested to know more is encouraged to visit the homepage of the INNS-BDA Section<http://www.inns.org/big-data-section>. General Chairs:<http://innsbigdata.org/committees/> Asim Roy<https://webapp4.asu.edu/directory/person/9973> (email<mailto:Asim%20Roy.%20General%20Co-Chair.%20INNS%20BigData2015.%20Arizona%20StateU.%20USA%20%3cASIM.ROY@asu.edu%3e>) INNS BigData General Co-Chair Arizona State University, USA INNS Board of Governors Plamen Angelov<http://www.lancaster.ac.uk/staff/angelov/> (email<mailto:Plamen%20Angelov.%20General%20Co-Chair.%20INNS%20BigData2015.%20Lancaster%20U.%20UK%20%3cp.angelov@lancaster.ac.uk%3e>) INNS BigData General Co-Chair Lancaster University, UK Chair in Intelligent Systems ________________________________ Many thanks to our Sponsors: [http://www.inns.org/assets/site/neural.png]<http://www.inns.org/> [http://innsbigdata.org/wp-content/uploads/2014/10/elsevier-logo-300x300-150…]<http://www.elsevier.com/> To unsubscribe from this list, send an email to Jose Antonio Iglesias, INNS BigData 2015 Publicity Co-Chair, Carlos III Univ, Madrid, Spain<mailto:Jose%20Antonio%20Iglesias.%20INNS%20BigData%202015%20Publicity%20Co-Chair.%20Carlos%20III%20Univ.%20Madrid.%20Spain%20%3cBigData2015-INNS-SanFrancisco@BillHowell.ca%3e?subject=Remove%20my%20email&body=Click%20to%20send.%20This%20will%20remove%20your%20email%20address%20from%20the%20INNS%20mass%20email%20list.> with the phrase "Remove my email" in the Subject line.

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RLDM2015: Call for abstract submissions (deadline: Feb 13)
by Yael Niv Dec. 16, 2014

Dec. 16, 2014

The 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2015) www.rldm.org<http://www.rldm.org/> June 7-10, The University of Alberta, Edmonton, Alberta, Canada ====================================================== Submissions to RLDM2015 are now being accepted at https://cmt.research.microsoft.com/RLDM2015 Deadline: 13 February 2015, midnight EST We invite extended abstracts for contributed poster presentations and oral presentations. We welcome submissions of original research related to “learning and decision making over time to achieve a goal”, coming from any discipline or disciplines, describing empirical results from human, animal or animat experiments, and/or theoretical work, simulations and modeling. Contributions should be aimed at an interdisciplinary audience, but not at the expense of technical excellence. This is an abstract-based meeting, with no published conference proceedings. As such, work that is intended for, or has been submitted to, other conferences or journals is also welcome, provided that the intent of communication to other disciplines is clear. Submissions should consist of a summary (max 2000 characters; text only), and an extended abstract of between one and four pages (including figures and references). LaTeX and RTF templates, and sample submissions, are available from http://rldm.org/rldm2015/submission-procedure/ Note: Only the summary will be made available in the (electronic) abstract booklets. The extended abstract will be used for reviewing, and will be available online only pending on authors’ separate explicit permission. Online availability will have no bearing on the review process and authors are encouraged to include new, unpublished, findings which they do not want to make publicly available. To submit your abstract please go to https://cmt.research.microsoft.com/RLDM2015 Submissions will be reviewed for relevance to the topic and for quality. Exceptional abstracts will be selected for oral presentations and for poster spotlight presentations. IMPORTANT DATES: Submissions open: 13 Dec 2015 Submissions close: 13 Feb 2015, 11:59pm EST Notification of acceptance: by March 28, 2015 (expedited reviewing for those needing an international visa can be requested) Early registration: 21 April 2015 Meeting: 7-10 June 2015, Edmonton, Alberta (*NEW* this year: Tutorials on the 7th) RLDM2015 Invited speakers: http://rldm.org/rldm2015/invited-speakers2015/ RLDM2015 Programme Committee: http://rldm.org/rldm2015/committees/rldm2015-program-committee/ To ensure that you receive future announcements about RLDM2015 please join our mailing list at http://tinyurl.com/RLDMlist (you must log in to google to see the “join list” button, and choose “all email” from the options at the bottom).

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a faculty position at RIKEN Brain Science Institute, Japan
by hnx Dec. 16, 2014

Dec. 16, 2014

Dear colleagues, I would like to draw your attention to a recent opening of a faculty position at RIKEN Brain Science Institute, Japan. It is targeted very broadly for any fields, including computational neuroscience, human imaging etc. The formal advert on the web can be found at (which I appended below as well): http://www.brain.riken.go.jp/jp/careers/20141201.html Inquiry can be sent to search2015(a)brain.riken.jp. Best wishes, Hiro Hiroyuki Nakahara, Ph.D Lab for Integrated Theoretical Neuroscience RIKEN Brain Science Institute http://www.itn.brain.riken.jp --------- a copy of the web description is append below ----- The RIKEN Brain Science Institute (BSI) is seeking outstanding neuroscientists for a tenure-track Team Leader (TL) position (equivalent to U.S. Assistant or Associate Professor). At RIKEN BSI, Team Leaders enjoy intellectual independence, generous internal funds and ample communal facilities. Administrative and teaching duties are minimal. We encourage applications from all disciplines of neuroscience, particularly from individuals studying brain function in normal and/or disease states at the molecular, cellular, circuit and/or systems levels using innovative experimental and/or theoretical approaches. Researchers studying model animals or humans are welcome. Candidates for the Team Leader position should have demonstrated the potential to develop an original, significant, and independent research program of excellence. RIKEN BSI is located just outside of the international metropolis of Tokyo. English is used in most activities at BSI, including seminars and administration. Institutional support is available to help non-Japanese speaking scientists, whom we particularly encourage to apply. RIKEN Brain Science Institute is an Equal Opportunity Employer. Women are strongly encouraged to apply. Review of applications will begin in January 2015 and continue until an ideal candidate is identified. Applicants should submit a cover letter briefly summarizing their research program and plan, curriculum vitae, a detailed summary of current and proposed research, and arrange for three letters of recommendation, to be sent to: Search Committee, RIKEN Brain Science Institute 2-1 Hirosawa, Wako, Saitama 351-0198, Japan Fax: +81-48-462-4914, Email: search2015(a)brain.riken.jp http://www.brain.riken.jp/en/ -- hiroyuki nakahara http://www.itn.brain.riken.jp

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3rd Baltic-Nordic Summer School on Neuroinformatics (BNNI 2015)
by Toomas Kirt Dec. 15, 2014

Dec. 15, 2014

3rd Baltic-Nordic Summer School on Neuroinformatics (BNNI 2015) Multiscale computational neuroscience: Neurons, networks and systems Place: University of Tartu, Tartu, Estonia Time: June 15-18, 2015 More information and registration at http://neuro.cs.ut.ee/bnni2015/ Important dates: 21 February 2015 Application deadline 13 March 2015 Acceptance notification 15-18 June 2015 Summer School The BNNI 2015 is focused on computational multiscale modelling of brain functions at the cellular, network and systems levels. The course will also cover data sources, measurements and analysis of neural activity. Target audience Advanced master students, doctoral students and postdoctoral researchers, both theoreticians and experimentalists, who would like to get an introduction to neuroinformatics and computational neuroscience. Faculty includes Gaute Einevoll, Norwegian University of Life Sciences, Aas, Norway Bruce Graham, University of Stirling, United Kingdom Sean Hill, the École Polytechnique Fédérale de Lausanne, Switzerland Henrik Lindén, University of Copenhagen, Denmark Marja-Leena Linne, Tampere University of Technology, Finland, Claudio Mirasso, Universitat de les Illes Balears, Palma de Mallorca, Spain Arnd Roth, University College London, UK Ausra Saudargiene, Vytautas Magnus University, Kaunas, Lithuania Raul Vicente, University of Tartu, Estonia Michael Wibral, Brain Imaging Center, Goethe University, Frankfurt, Germany Daniel Wójcik, Nencki Institute of Experimental Biology, Warsaw, Poland and others to be named. Venue The course will be held in the University of Tartu, Faculty of Mathematics and Computer Science - Juhan Liivi 2, Tartu 50409, Estonia. Practical arrangements There is a small tuition fee of 100 euros. The sponsor will provide teaching, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses (small financial support is available for those without funding). The course is supported by International Neuroinformatics Coordinating Facility and University of Tartu. We are looking forward to welcome you at the BNNI 2015 in Tartu, Estonia!

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A symposium in honour of Professor Peter Redgrave, 30th Jan, Sheffield, UK
by Tom Stafford Dec. 15, 2014

Dec. 15, 2014

A free research symposium in Sheffield on 30th of Jan, of interest to those studying the subcortex, dopamine and systems neuroscience more widely. Enquiries to a.young(a)shef.ac.uk Link: https://eventbrite.co.uk/event/14752803031/. Details, below: 'Selection: the very keel on which our mental ship is built' * A symposium in honour of Professor Peter Redgrave Friday 30th January 2015 *William James, 1890 Professor Peter Redgrave has recently retired from a long and illustrious career in teaching and research, most latterly at the Department of Psychology in the University of Sheffield. As a neuroscientist, his research into the basal ganglia and the role of the neurotransmitter dopamine therein has been world leading. To celebrate this achievement, we have invited a number of Professor Redgrave's collaborators and peers from around the world to give talks which we are sure will educate and entertain us in equal measure. You are cordially invited to join us at this event. 9.00am Refreshments available 9.15am Introduction (Paul Overton) 9.30am Paul Dean (Department of Psychology, Sheffield, UK) 10.00am Paul Bolam (MRC Anatomical Neuropharmacology Unit, Oxford, UK) 10.30am Peter Dayan (Gatsby Computational Neuroscience Unit, UCL, London, UK) 11.00am Refreshment Break 11.30am Phil Winn (Institute of Pharmacy and Biomedical Sciences, Strathclyde, UK) 12.00pm Max Westby (Centre de Recherche de L'Institut de Cerveau et de la Moelle Epiniere, Universite Pierre et Marie Curie-Paris, Paris, France) 12.30pm Lunch 1.30pm Jose Obeso (Univ of Navarra Medical School & Clinica Universitaria, Pamplona, Spain) 2.00pm Safa Shehab (Coll of Med & Health Sciences, United Arab Emirates Univ, Al-Ain, UAE) 3.30pm John Reynolds (University of Otago, Dunedin, NZ) 4.00pm Conclusion (Peter Redgrave) For tickets please see the web page below. Information related to this message is available at https://eventbrite.co.uk/event/14752803031/. Note that direct replies (reply button) to this message can not be processed. -- Tom Stafford http://www.tomstafford.staff.shef.ac.uk/ Lecturer in Psychology and Cognitive Science Department of Psychology, University of Sheffield Western Bank, Sheffield, S10 2TP, UK Room 2.27 Tel +44 (0) 114 22 26620 t.stafford(a)shef.ac.uk NOTES FOR UNDERGRADUATE STUDENTS: please read this before emailing me http://tomstafford.staff.shef.ac.uk/email.htm ---------------------------------------------------------------

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Call for papers for research topic: Anatomy and plasticity in large-scale brain models
by Dr. Markus Butz-Ostendorf Dec. 13, 2014

Dec. 13, 2014

Dear Colleagues, I would like to draw your attention to our research topic "Anatomy and plasticity in large-scale brain models" http://journal.frontiersin.org/ResearchTopic/3644 in Frontiers in Neuroanatomy (impact factor 4.2): (Deadline for abstracts: 27th, Feb. 2015; full paper submission: 28th, Aug. 2015). Kind regards, Markus Butz >From the research topic website: Anatomy and plasticity in large-scale brain models Supercomputing facilities are becoming increasingly available in neuroscience, predominantly for simulating the dynamics of electrical activity propagating through neuronal circuits. On today's most advanced supercomputers, large-scale models can be simulated with up to a billion of neurons. However, merely further increasing the number of neurons and synapses will not be sufficient to create biologically realistic full-scale brain models. The focus of this Research Topic is therefore on approaches that bring high-performance computing in neuroscience together with the latest experimental research in neuroanatomy. The first aspect of this Research Topic will focus on large-scale models, high-performance simulation tools, and novel hardware and data-base techniques that try or allow to capture the highest possible degree of anatomical detail. The second aspect will include approaches that introduce forms of anatomical plasticity that make detailed full-scale connectivity adaptable, e.g. to changes in experience or during learning and memory consolidation. A third aspect will capture novel concepts in the self-organization and self-repair of large-scale and full-scale brain networks, with potential applications for neural development and the diseased brain, respectively. With the aim to present work that goes beyond the current stage of high-performance computing in neuroscience, we welcome computational and technical contributions with strong emphasis on or applicability to neuroanatomical research, as well as experimental contributions that discuss important ways to improve large-scale brain models. We will consider all types of submission, from original research to more review-type articles. Especially, we encourage experimental neuroscientists to submit perspectives or opinions on new trends and discoveries relevant to large-scale brain models. ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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CNS*2015 CALL FOR WORKSHOP PROPOSALS
by Farzan Nadim Dec. 12, 2014

Dec. 12, 2014

*CNS 2015 Prague* *July 18--23, 2015: Call for Workshops* We are requesting proposals for workshops from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. This is a great opportunity to organize a small meeting with just a few of the headaches of actually organizing it. *Workshop proposal submission instructions for CNS 2015* The last two days (July 22-23) of the 24^th annual CNS meeting will be devoted to workshops, in which computationally related neuroscience topics can be presented and discussed. Workshops can be anywhere between one half to two days in duration. Usually several speakers are invited to introduce a unifying theme, but ample time for discussion should also be planned. Submit workshop proposals to: workshops(a)cnsorg.org <mailto:workshops@cnsorg.org>. The Past Meetings page <http://www.cnsorg.org/past-meetings> gives access to archives of workshops held at previous CNS meetings. The proposal should be submitted as a Word or pdf file and MUST include the following sections: 1. *Workshop Title* 2. *Organizers*(list primary organizer first; include affiliations and _emails_) 3. *One or two days*(2 sessions per day) 4. *Number of expected speakers* 5. *Brief Description*(~150 words; if possible, say why this is significant or timely) 6. *Speakers*(mark expected or confirmed) Also please note the following rules which were approved by the OCNS Board on July 15, 2013: * _Each individual can be the organizer or co-organizer on only one workshop_. * The number of confirmed speakers is a criterion for accepting the proposal. * Overlapping proposals may be asked to be combined. If the organizers do not wish to combine the proposals, only one of the proposals may be accepted. Workshops submitted before January 15, 2015 will be given priority in acceptance. Workshop proposals arriving after January 15, 2015 will be evaluated based on remaining space for additional workshops. No further workshop acceptances will be anticipated after May 15, 2015. *Registration:* Workshop registration will occur through the OCNS registration <http://www.cnsorg.org/cns-2015-registration-fees>web site for CNS 2015. All workshop participants, including speakers must register. Each workshop is eligible to receive registration waivers for 2 speakers. *Travel awards:* a limited number of Travel Awards will be available for postdoctoral researchers to lead and be included as speakers. Exceptionally starting assistant professors may also be given consideration. These Travel Awards will be variable depending on distance traveled. Please indicate which speakers you would like to be considered for this mechanism but take into account that there will be less travel awards than workshops. *Springer Computational Neuroscience Book Series:*Some of the workshops may be published by the Springer Series in Computational Neuroscience <http://www.springer.com/series/8164>. Workshop organizers interested in this mechanism should submit a book proposal to Ann.Avouris(a)springer.com <mailto:Ann.Avouris@springer.com>and indicate in the workshop proposal their interest in publishing a book. *Logistics:*Rooms, AV equipment, snacks and beverages during breaks will be provided by OCNS to the workshop organizers.

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Integrated Systems Neuroscience Workshop, March 23-24th, Manchester, UK
by Mark Humphries Dec. 12, 2014

Dec. 12, 2014

We announce a 2-day workshop on "Integrated Systems Neuroscience", at the University of Manchester (UK), March 23-24th 2015. Systems neuroscience has been thrust centre-stage by the extraordinary advances in technology for recording and manipulating neural circuits at single-cell resolution. Yet with this rapid increase in data yield has come formidable challenges in analysing and understanding experimental results. Consequently, a tight integration between experimental and computational neuroscience approaches is increasingly necessary for tackling these challenges. The goal of this workshop is to present the state-of-the-art in integrated systems and computational approaches to key neural circuits, to demonstrate their power and potential. Each session of the programme will comprise a pair of talks presenting complementary experimental and computational work on the same circuit theme. Breaks between each session will allow for plentiful discussion of the work just seen and how it may translate to other circuits and problems in systems neuroscience. A poster session with wine reception will be held on the first evening. Speakers include: Rafal Bogacz (Oxford) Matteo Carandini (UCL) Peter Dayan (Gatsby Computational Neuroscience Unit, UCL) Ken Harris (UCL) Peter Magill (MRC Anatomical Neuropharmacology Unit, Oxford) Daniel O'Connor (John Hopkins University) Michael Orger (Champalimaud Institute, Lisbon) Srdjan Ostojic (Ecole Normale Superieure, Paris) Alex Thiele (University of Newcastle) Gasper Tkacik (IST Austria) For more information, including the current programme, please visit the website: http://www.isn2015.ls.manchester.ac.uk/ Posters: We are accepting submission of abstracts for posters. A maximum of 30 posters will be accepted; the top 20 will have their registration fee waived. For details on submission see: http://www.isn2015.ls.manchester.ac.uk/abstracts/ Abstract submission deadline: January 30th 2015 Registration: http://www.isn2015.ls.manchester.ac.uk/registration/ Registration deadline: February 27th 2015 Sponsors: we gratefully acknowledge the support of the Medical Research Council and Company of Biologists. Dr Mark Humphries MRC Senior non-Clinical Research Fellow AV Hill Building Faculty of Life Sciences University of Manchester http://www.systemsneurophysiologylab.ls.manchester.ac.uk/

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Organismal Assistant Professor of Biology Position
by Weaver, Adam L Dec. 11, 2014

Dec. 11, 2014

Dear Colleagues, I respectfully submit an advertisement below for an organismal biologist in our department of Biology. The job description and method of application are described below. Please share with suitable candidates. Specifically, we are seeking an excellent educator whose research interests and training will lend themselves to serving the growing number of Biology majors interested in the health-care professions. Expertise in the area of developmental neuroscience is specifically encouraged. This is a tenure-track position with a Fall 2014 start date. As I am on the search committee, I cannot answer any questions regarding the position but the website allows one to ask questions of the chair of the committee. Thank you, Adam ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Adam L. Weaver, Ph.D. Associate Professor, Dept. of Biology, Saint Michael's College Chief Advisor of the Health Professions, NEAAHP ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ This job opportunity has been sent to you through Saint Michael's College Careers. Please click here<http://smcvt.interviewexchange.com/jobofferdetails.jsp?JOBID=47078&type=7> to view the posting and to apply online. If your email system does not support links, please cut and paste the following text in a web browser: http://smcvt.interviewexchange.com/jobofferdetails.jsp?JOBID=47078&type=7 Specifically we are seeking an excellent educator who's research interests and training will lend themselves to serving the growing number of Biology majors interested in the health care professions. This is a tenure track position with a Fall 2014 start date. Full posting follows: Assistant Professor of Biology Category: Faculty Department: Biology Locations: Colchester, VT Posted: Mar 03, '14 Type: Full-time About Saint Michael's College : At Saint Michael's College students are challenged to do their best, find their niche, take on opportunities to grow, and immerse themselves in academic pursuits. A residential Catholic college, Saint Michael's is steeped in the social justice spirit of its founding priests, the Edmundites. Saint Michael's is located three miles from Burlington, Vermont, one of America's top 10 college towns. Headed by President John J. Neuhauser, the college has 1,900 undergraduate students and 500 graduate students. A Phi Beta Kappa institution, Saint Michael's also features an extraordinary Wilderness Program and rare Fire & Rescue Squad, both of which other colleges use as models. Identified by the Princeton Review, 2014 as one of the nation's Best 378 Colleges, and included in the Fiske Guide to Colleges 2014, Saint Michael's students and professors have received Rhodes, Woodrow Wilson, Goldwater, Pickering, Guggenheim, Fulbright, and other awards. The college is one of the nation's top-100, Best Liberal Arts Colleges as listed in the 2014 U.S. News & World Report rankings. Job Description: The Department of Biology at Saint Michael's College invites applications for a full-time, tenure-track faculty position for an assistant professor of biology starting in the 2014-2015 academic year. The successful candidate will be expected to participate in the team teaching of introductory biology and to teach upper-level lecture and laboratory courses in the areas of human anatomy and physiology thus enhancing the department's offerings for students interested in post-graduate opportunities in health care. Advising students pursuing careers in the health professions will become part of this new faculty member's role. The successful candidate must also maintain a productive scholarship program focusing on research at the organismal level providing opportunities for student involvement. For example, focus areas of scholarship could include, but are not limited to the following (listed in alphabetical order, not in order of preference): anatomy, biomechanics, developmental biology, embryology, kinesiology, functional morphology, neurobiology, physiology, or vertebrate evolution. Please note however that the Biology Department does not have facilities to maintain live mammals. Research programs strictly at the population or cell and molecular levels are not compatible with this position. Requirements: * Ph.D. in biology or related organismal field * College-level teaching experience * Promising record of scholarship * Willingness to participate as part of a team of colleagues with the primary focus being the learning and development of our students * Direct experience in the health care industry or in advising pre-health students would be valued An offer of employment will be contingent upon the successful completion of a background check. Additional Information: Applicants should demonstrate a commitment to innovative undergraduate teaching and be able to apply appropriate technology to the teaching & learning process. Candidates should be supportive of the mission of this Catholic, residential, liberal arts college with an undergraduate enrollment of 2,000 students. Saint Michael's College is committed to fostering and affirming an inclusive, multi-cultural, multi-ethnic environment for its students, faculty, and staff. Applicants are invited to discuss how they might contribute to this diversity in their cover letter. Application Instructions: Please be prepared to attach the following documents after clicking on Apply Now button. * Cover letter, including statement of teaching philosophy, research objectives, and addressing the balance between teaching and research at an undergraduate liberal arts institution. * Research statement detailing the fit of your program of scholarship in the context of a small liberal arts college and how undergraduate students will participate in your research. * Curriculum vitae, including names and contact information of at least three references. Finalists will be contacted before we contact referees.

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on behalf of Andrea d'Avella: Postdoc position in human sensorimotor control - Rome
by MAEX Reinoud Dec. 11, 2014

Dec. 11, 2014

subject: Postdoc position in human sensorimotor control – Rome, Italy A postdoctoral position is available in the research group led by Andrea d’Avella (a.davella(a)hsantalucia.it [13]) in the Laboratory of Neuromotor Physiology of the Santa Lucia Foundation in Rome, Italy, to conduct studies in the area of human sensorimotor control. The postdoctoral researcher will be involved in a new interdisciplinary project, funded by the H2020 program of the European Union, aiming at a step change in human-robot interaction. The consortium comprises leading robotics, computational neuroscience, and human motor control European research groups. Research will be focused on investigating human sensorimotor strategies for prediction, coordination, and control during interactive catching and throwing. Experiments will be conducted with real balls using a custom designed launching apparatus and with virtual balls simulated in an immersive multisensory virtual environment with a large field of view. Models of human sensorimotor strategies, including sensorimotor synergies, will be developed and used for assessment of human-robot interactions. Applicants should have a recent Ph.D. in a relevant discipline, a real interest in human sensorimotor control, and strong quantitative and programming skills. Experience with collection and analysis of experimental data, psychophysics in virtual environments, and modeling of sensorimotor processes are valuable assets. Salary will be commensurate with experience. Applicants should provide a statement of research interests, a curriculum vitae, and contact information for references. The position is available starting on February 1st 2015 and open until filled.

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Deadline extension || BIOTECHNO 2015 and BIOCOMPUTATION 2015 || May 24 - 29, 2015 - Rome, Italy
by Cristina Pascual Dec. 10, 2014

Dec. 10, 2014

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to - BIOTECHNO 2015, The Seventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies - BIOCOMPUTATION 2015, The International Symposium on Big Data and BioComputation The submission deadline is January 16, 2015. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= === BIOTECHNO 2015 | BIOCOMPUTATION 2015 | Call for Papers ====== CALL FOR PAPERS, TUTORIALS, PANELS BIOTECHNO 2015, The Seventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies General page: http://www.iaria.org/conferences2015/BIOTECHNO15.html Submission page: http://www.iaria.org/conferences2015/SubmitBIOTECHNO15.html BIOCOMPUTATION 2015, The International Symposium on Big Data and BioComputation General page: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html Submission page: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#SubmitAPaper Events Schedule: May 24 - 29, 2015 - Rome, Italy Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini-symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: January 16, 2015 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html BIOTECHNO 2015 Topics (topics and submission details: see CfP on the site) CfP: http://www.iaria.org/conferences2015/CfPBIOTECHNO15.html =========================================================== A. Bioinformatics, chemoinformatics, neuroinformatics and applications Bioinformatics (Bioinformatics modeling; Bioinformatics databases; Epidemic models; Informatics and statistics in bio-pharmaceutical research; Machine learning and artificial intelligence in molecular design; Systems biology and metabolic networks; Medical informatics; Genomics informatics; Biostatistics; Structural and functional genomics; Identifying molecular sequence and structure databases; Mechanisms for specifying molecular interactions and structure predictions; Formalisms for gene regulation and expression databases; Algorithms for gene identification and pattern discovery; Techniques for gene expression analysis; Modeling and simulation of biomarkers) Advanced biocomputation technologies (Stochastic modeling; Computational drug discovery; Graph theory and bioinformatics; Biological databases and information retrieval; Experimental studies and results; Application of computational intelligence in medicine and biological sciences (artificial neural networks, fuzzy logic, evolutionary computing, and simulated annealing); High-performance computing as applied to natural and medical sciences; Hardware computing accelerators; Computer-based medical systems (automation in medicine, etc.); Other aspects and applications relating to technological advancements in medicine and biological sciences; Novel applications) Chemoinformatics (Computer-aided drug design; Concepts, methods, and tools for drug discovery; Virtual screening of chemical libraries; ADMET - absorption, distribution, metabolism, excretion, and toxicity; QSAR - quantitative structure-activity relationships; Protein-ligand docking and scoring functions; Chemical similarity and diversity; Chemogenomics in drug discovery; QSPR - quantitative structure-property relationships; Theoretical models in chemical reactivity; Mathematical chemistry and chemical graphs; In silico environmental toxicology; Computer-assisted chemical engineering; Combinatorial chemistry; Graph theory in chemistry; Prediction of drug toxicity; Property prediction; Molecular mechanics and quantum chemical calculations; Modeling and measurements of solid-liquid and vapor-liquid equilibria; Blood-brain barrier penetration; Comparison of the similarity(diversity of chemo-data libraries; Chemoinformatics applications) Bioimaging ( Image processing in medicine and biological sciences; Measurements techniques; Mass spectrometry; Numerical(mathematical approaches; Biological data integration and visualization) Neuroinformatics (Neurosciences; Neurocomputing) B. Computational systems (genetics, biology, and microbiology) Bio-ontologies and semantics (Software environments for bio-computation, bio-informatics, and biomedical applications; Medical informatics; Epidemic models; Biological data mining; Biomedical knowledge discovery; Pattern classification and recognition; Mathematical biology; Graph theory and bio-informatics; Stochastic modeling; Biological databases and information retrieval; Processing mutation information; Archiving of mutation specific information) Biocomputing (Computational biology; Bioengineering; Biomedical image computing and informatics; Biomedical automation and control; Image-based diagnosis and therapy; Modeling and simulation of systems biology; Applications of large-scale bio-systems) Genetics (Gene regulation; Gene expression databases; Gene pattern discovery and identification; Genetic network modeling and inference; Gene expression analysis; RNA and DNA structure and sequencing; Evolution of regulatory genomic sequences; Biological data mining and knowledge discovery; Bio-pattern classification and recognition; Bio-sequence analysis and alignment; Comparative genomics; Structural and functional genomics; Amino acid sequencing) Molecular and Cellular Biology (Protein modeling; Molecular interactions; Metabolic modeling and pathways; Evolution and phylogenetics; Macromolecular structure prediction; Proteomics; Protein folding and fold recognition; Molecular sequence and structure databases; Molecular dynamics and simulation; Molecular sequence classification, alignment and assembly) Microbiology (Bio-nanotechnologies; Self-assembly and self-replication; Global regulatory networks and mechanisms; Microbial propagation and immunity; Microbial therapies; Microbial life under extreme energy limitation; Cellular microbiology and contact systems; Phylogenetics; Genome dynamics; Transmission dynamics and evolution of emerging diseases; Metagenomics and drug resistance; Microbes and alternative energies) C. Biotechnologies and biomanufacturing Fundamentals in biotechnologies (Bioengineering; Bioelectronics; Biomaterials; Bio-films in ecology and medicine; Biometric screening techniques; Biorobotics) Biodevices (Biosensors; Biomechanical devices; Biochips; Biocomputing; Biometrics devices; Specialized biodevices; Nanotechnology for biosystems) Biomedical technologies (Biomedical engineering; Biomedical instrumentation; Biomedical metrology and certification; Biomedical sensors; Biomedical monitoring devices; Biomedical devices with embedded computers; Biomedical integrated systems) Biological technologies (Biological data integration; Image processing in medicine and biological sciences; Biological data visualization; Synthetic biological systems) Biomanufacturing (Manufacturing platforms; Biopharmaceutical industry; Generic biopharmaceuticals; Bioprocess management; Clinical trials; Disposables and product changeover; Upstream and downstream bioprocessing; Technology benchmarks; International regulations) BIOCOMPUTATION 2015 Topics (topics and submission details: see CfP on the site) CfP: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#CallForPapers ============================ Big Data and Context-sensitive Computation Big Data and Cloud Technology and Services in BioComputation Big Data, Cloud computing and GPU (Graphical Process Units) for BioComputation Scale-up and high-performance techniques for data-centric BioComputation Big Data and Prediction Computational Models Big Data Computation Applications Big Data and Evolution Models Big Data and BioStatistics Big Data and Personalized Healthcare Computation Big Data in Genome Analytics Big Data and Computation on Illness Patterns/Variations (cancer, diabetes, etc.) Big Data and Donor Information Big Data and Drugs-related Computation Big Data and Health/eHealth/Telemedicine Computation Big Data and Computation in Clinical Context Big Data and BioImage Computation Big Data and Molecular Modeling Big Data and Computational Physics Big Data and Biological Systems Big Data and Scalability of BioComputation Tools Big Data and Trusted Bio-Datasets Big Data BioComputation and Regulator Borders ------------------- BIOTECHNO Committee: http://www.iaria.org/conferences2015/ComBIOTECHNO15.html BIOCOMPUTATION Committee: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#Committees ================================================

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School and Workshop on Dynamics of Multi-Level Systems, Dresden, June 2015
by Eckehard Olbrich Dec. 10, 2014

Dec. 10, 2014

"Dynamics of Multi-Level systems" School: 01-12.06.2015 Workshop: 15-19.06.2015 LOCATION: Max Planck Institute for the Physics of Complex Systems, Dresden, Germany Applications for participation at http://www.pks.mpg.de/~dymult15/ until FEBRUARY 28, 2015. The emergence of levels is a key feature in a variety of complex systems. Experts from different disciplines will discuss current trends in the theoretical understanding of multi-level and multi-scale systems and present applications from physics and chemistry, sociology and economics, ecology and neuroscience. Workshop topics include * multiscale methods * hierarchies in dynamical systems * physics of information * self-organization and level identification * multilevel networks * coarse graining * aggregation methods The school will provide the opportunity to learn key techniques and theories from mathematics and physics for dealing with multiscale and multilevel systems. School topics include * Dynamical Systems with multiple time scales * Averaging and singular perturbation theory * Projection methods * Collective chaos * Information geometry * Information theoretic approaches to complex systems Lecturers Shun-ichi Amari, RIKEN Brain Science Institute, Japan Bruno Cessac, INRIA, Sophia Antipolis, France Hugues Chaté, CEA Saclay, Gif-sur-Yvette, France Leo van Hemmen, TU München, Germany Holger Kantz, MPIPKS, Dresden, Germany Christian Kuehn,Vienna University of Technology, Austria Kristian Lindgren, Chalmers University of Technology, Gothenburg, Sweden David Wolpert, Santa Fe Institute, USA Ferdinand Verhulst, University of Utrecht, The Netherlands Additional invited speakers for the workshop Nihat Ay, MPI-MiS, Leipzig, Germany Philippe Blanchard, Universität Bielefeld, Germany Olivier Faugeras, INRIA, Sophia Antipolis, France Mauro Gallegati, Università Politecnica delle Marche, Ancona, Italy Björn Peter Gärdenfors, Lund University, Sweden Shlomo Havlin, Bar-Ilan University, Israel Martin Nilsson Jacobi, Chalmers University of Technology, Gothenburg, Sweden Jürgen Jost, MPI-MiS, Leipzig, Germany Tamas Vicsek, Eötvös Loránd University, Hungary Massimo Warglien, Ca'Foscari University, Venice, Italy Applications for the school and/or workshop have to be submitted via the school & workshop webpage http://www.pks.mpg.de/~dymult15/ until February 28, 2015. For successful applications, accommodation and subsistence will be covered by MPIPKS. The registration fee is 120 Euro and should be paid by all participants. For school participants additional travel funds are available on request. Scientific Coordinators: Fatihcan Atay (Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany) Eckehard Olbrich (Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany) Kristian Lindgren (Chalmers University, Gothenburg, Sweden) Organization: Claudia Domaschke (MPIPKS Dresden, Germany) For further information see http://www.pks.mpg.de/~dymult15/ or e-mail to: dymult15(a)pks.mpg.de -- Dr. Eckehard Olbrich Max Planck Institute for Mathematics in the Sciences Inselstrasse 22 D-04103 Leipzig Germany Tel.: +49 341 9959 568 Fax: +49 341 9959 658 E-mail: olbrich(a)mis.mpg.de

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SYNTAGMA, Trieste, early July 2015
by Alessandro Treves Dec. 10, 2014

Dec. 10, 2014

The celebration of the first Nobel Prize awarded to cognitive neuroscience prods us to reach out towards language, at the frontier of human cognition. SYNTAGMA, in Trieste, http://people.sissa.it/~ale/EU_infoday/syntagma.html is a self-organizing meeting, una piazza or a crossroad, where coming from different directions we shall discuss language acquisition and its neural mechanisms. Participants generate activities/talks/discussions, with no guest invited, and all pay their expenses (although SISSA will contribute to lodging expenses, on a first-come-first-served basis). Participation means at least a couple of days in Trieste, within the range July 1-12, 2014. The registration fee is a paper, one per participant, if possible orthogonal to all others, so adding an extra conceptual dimension to the meeting. Published papers are collected on the public repository http://people.sissa.it/~ale/EU_infoday/scovazze.html for all of us to see. First allocation of lodging contributions at the end of January. Please write to me, ale(a)sissa.it, with SYNTAGMA in the Subject field. -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy and Master in Complex Actions http://www.mca.sissa.it/

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tenure-track position in Statistics at Washington State University
by Dimitrov, Alex Dec. 9, 2014

Dec. 9, 2014

Dear Colleagues, Please, see the note below. We are looking for somebody working with big data in general, which of course can involve neural big data. Best regards, Alex ———————— The Department of Mathematics at Washington State University (WSU) in Pullman, WA, invites applications for a permanent full-time tenure-track nine-month faculty position in Statistics at the Assistant Professor level beginning August 16, 2015. Requirements: A Ph.D. degree in Statistics or Statistical Sciences or in Mathematics with Statistics emphasis obtained by August 16, 2015. Must have strong research record in modeling high dimensional big data sets arising from diverse areas of science or engineering. Must show evidence of the ability to maintain a robust and well funded grant supported research program in Statistics or Statistical Sciences. Post doctoral experience of one or more years in developing methods for modeling and analyzing big data problems is highly recommended. Evidence of effectiveness in teaching Statistics courses at the undergraduate level is required. Unofficial graduate transcripts are also required. Job responsibilities: Teaching, research and service. Teaching involves both undergraduate and graduate courses in Statistics or closely related areas. Research must include maintenance of well-funded individual or collaborative projects that include but not restricted to collecting, modeling and analyzing high dimensional large data sets in science and engineering. It is highly desirable to quickly develop interdisciplinary research collaborations with allied research groups in science and engineering. The successful candidate must strengthen the ongoing graduate program in Statistics by teaching graduate level Statistics courses, and by mentoring Ph.D. as well as Masters level graduate students. Ability and due diligence in rendering service to the department, college and the university is essential. To apply see www.wsujobs.com<http://www.wsujobs.com>. The online application will require: Cover Letter addressing each of the required and recommended qualifications; Curriculum Vitae; Unofficial Graduate Transcripts; and Three (3) letters of recommendation. The three (3) letters of recommendation are required and will be automatically requested and obtained from the reference provider automatically through our online applications system. Screening of application materials will begin January 5, 2015, and applications will be accepted until the position is filled. Washington State University is an equal opportunity/affirmative action educator and employer. Members of ethnic minorities, women, special disabled veterans, veterans of the Vietnam-era, recently separated veterans, and other protected veterans, persons of disability and/or persons of age 40 and over are encouraged to apply. WSU is committed to excellence through diversity, has faculty friendly policies including a partner accommodation program, and a NSF ADVANCE Institutional Transformation grant (see www.advance.wsu.edu) -- Alexander Dimitrov Department of Mathematics Washington State University 14204 NE Salmon Creek Ave Vancouver WA 98686 alex.dimitrov(a)vancouver.wsu.edu<mailto:alex.dimitrov@vancouver.wsu.edu> http://directory.vancouver.wsu.edu/people/alexander-dimitrov

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2 PhD positions, Computational Cognitive Neuroimaging, Uni of Birmingham, UK
by Uta Noppeney Dec. 9, 2014

Dec. 9, 2014

*2 PhD positions in Computational Cognitive Neuroimaging; University of Birmingham, UK* In our natural dynamic environment our senses are constantly bombarded with many different signals. How does the human brain integrate information from multiple senses during perception? To study the neural mechanisms of multisensory perceptionand learning, we combine psychophysics, functional imaging (fMRI, EEG/MEG & interleaved TMS-fMRI) and models of Bayesian Inference and learning. The Computational Cognitive Neuroimaging Group (Prof Uta Noppeney) is seeking 2 enthusiastic PhD candidates. Applicants should have astrong quantitative background and a degree in neuroscience, psychology, computer science, physics, medicine or related areas. Prior experience in functional imaging, MatLab, data analysis or machine learning would be an advantage. The lab is part of the Computational Neuroscience and Cognitive Robotics Centre and the Department of Psychology of the University of Birmingham, UK. The centre provides an excellent multidisciplinary and collaborative research environment combining expertise in cognitive neuroimaging, psychophysics and computational neuroscience. Applications will be considered until the positions are filled. Starting dates are flexible. The PhD position (including stipend + fees for EU students) is funded for three years. For further information, please contact u.noppeney(a)bham.ac.uk <mailto:u.noppeney@bham.ac.uk> and see http://www.birmingham.ac.uk/research/activity/cncr/index.aspx <http://www.birmingham.ac.uk/schools/psychology/index.aspx> http://www.birmingham.ac.uk/schools/psychology/people/profile.aspx?Referenc… <http://www.jobs.ac.uk/job/AIM528/research-fellow/>Please send application including CV, statement of research interests, and the names and full contact details of two referees to:u.noppeney@bham.ac.uk <mailto:u.noppeney@bham.ac.uk>

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BNA2015: Festival of Neuroscience (Edinburgh UK, 12th-15th April 2015)
by Ramnani, N Dec. 6, 2014

Dec. 6, 2014

Dear All, In case this has not reached your attention, I just wanted to alert you to BNA2015: Festival of Neuroscience (12th - 15th April 2015, EICC, Edinburgh, UK). This is the biennial meeting of the British Neuroscience Association. Topics cover most areas of neuroscience. The deadline for poster abstracts is approaching (17.00h GMT on MONDAY 15 DECEMBER 2015). Programme details can be found at http://www.bna2015.org/programme Some highlights... ~250 talks in 60 symposia and wide-interest special events<http://www.bna2015.org/programme/#specialevents> organised into eight themes<http://www.bna2015.org/programme/details/> BNA 50th Anniversary Lecture:? * ???Professor John O'Keefe, University College London, London, UK - Nobel Laureate for Physiology or Medicine, 2014. Plenary Lectures<http://www.bna2015.org/programme/plenary-lectures/>: * ?Professor Dame Kay Davies, University of Oxford, UK: "Links between psychiatric disorders and abnormal circadian rhythms" * Professor Annette C Dolphin, University College London, UK: "Neuronal voltage-gated calcium channels: from channel trafficking to therapy for neuropathic pain" * Professor Thomas M Jessell, Columbia University, USA: "Strategies and circuits for motor control" * Professor Richard G M Morris, University of Edinburgh, UK: "The making, keeping and losing of memory" * Professor Giacomo Rizzolatti, University of Parma, Italy: "Understanding others: a neural mechanism" * Professor Susumu Tonegawa, Massachusetts Institute of Technology, USA - Nobel Laureate for Physiology or Medicine, 1987 - "Memory engram cells have come of age" * Professor Lorraine Tyler, University of Cambridge, UK: "From perception to conception: the evolution of meaning along the ventral stream" Public Lectures: * Professor David Nutt (Imperial College London, UK), "How Scotland can use neuroscience to lead the world in drugs and alcohol policy??" * Dr Adrian Owen (University of Western Ontario, Canada), "The search for consciousness" Apologies if you have received this information already. Best wishes, Narender Ramnani Professor of Neuroscience (Royal Holloway, University of London) Programme Chair, BNA2015 ?

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Master in Brain and Cognition, UPF, Barcelona
by Miller, Pamela Dec. 5, 2014

Dec. 5, 2014

Dear Comp-neuro members, The Master in Brain and Cognition being offered at Pompeu Fabra University (UPF), Barcelona Spain (http://www.upf.edu/mbc/) opens the rolling application period from 24 November to 26 June 2015. The core of the master's programme is composed of the research groups at UPF's Center for Brain and Cognition (http://cbc.upf.edu) These groups are directed by renowned scientists in areas such as computational neuroscience, cognitive neuroscience, psycholinguistics, vision, multisensory perception, human development and comparative cognition. Students will be exposed to the ongoing research projects at the Center for Brain and Cognition and will be integrated in one of its main research lines, where they will conduct original research for their final project. Please visit the Master’s web page or contact mbc(a)upf.edu for further information. Thank you.

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Machine Learning Summer School 2015, Sydney, Australia
by Edwin Bonilla Dec. 5, 2014

Dec. 5, 2014

========================================================== Call for Participation: MLSS Sydney 2015: Machine Learning Summer School 2015, Sydney, Australia February 16th to February 25th, 2015 http://www.nicta.com.au/mlss2015 Important dates (AEDT): Scholarship application deadline: December 15th, 2014 Early bird registration deadline: January 15th, 2015 Late registration: January 16th, 2015 to January 31st, 2015 ========================================================== Description ------------------------------------------------------------------------------- Machine Learning is a foundational discipline that forms the basis of much modern statistical data analysis. As data science emerges to meet the challenges of "Big Data", understanding the theory and practice of machine learning becomes a crucial asset in academia and industry. The machine learning summer school provides graduate students, academics and industry professionals with an intense learning experience on the theory and applications of modern machine learning. Over the course of eight days, a panel of internationally renowned experts in the field will offer tutorials covering basic as well as advanced topics. In addition, MLSS Sydney 2015 will feature hands-on sessions aimed at reinforcing the learned concepts through practice. Themes ------------------------------------------------------------------------------- The school will have a strong focus on probabilistic inference, large scale learning, Bayesian non-parametrics and applications to recommender systems, vision and document analysis. Confirmed Speakers and Topics ------------------------------------------------------------------------------- Ryan Adams (Harvard University) Bayesian Nonparametrics: Dirichlet Processes and Friends Wray Buntine (Monash University) Bayesian Non-parametric Methods for Unsupervised Models Bob Carpenter (Columbia University) Bayesian inference, MCMC and Stan Hands-on Justin Domke (NICTA) Probabilistic Graphical Models Stephen Gould (Australian National University) Structured Prediction for Computer Vision Alex Ihler (UCI Irvine) Approximate Inference Mark Johnson (Macquarie University) Natural Language Processing Alexandros Karatzoglou (Telefonica) ML for Recommender Systems Neil Lawrence (The University of Sheffield) Bayesian Nonparametrics: Gaussian Processes Frank Nielsen (Ecole Polytechnique) Computational Information Geometry and Machine Learning Richard Nock (NICTA) Boosting Lizhen Qu (NICTA ) Deep Learning Mark Reid (ANU and NICTA) Prediction Markets Mark Schmidt (University of British Columbia) Optimization Chris Webers (NICTA) Introduction to Machine Learning Organizers ------------------------------------------------------------------------------- Edwin V. Bonilla, The University of New South Wales Fabio Ramos, The University of Sydney Yang Wang, NICTA

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Postdoctoral position
by Sam Gershman Dec. 4, 2014

Dec. 4, 2014

Postdoctoral position in reinforcement learning at Harvard University The Gershman lab at Harvard University (Department of Psychology and Center for Brain Science) is recruiting a postdoctoral fellow to work in the area of reinforcement learning and decision making. The focus of this research is on structure learning: How does the brain discover the underlying structure of its environment, and use this structure to guide learning and decision making? To answer this question, we combine computational theory with behavioral and brain imaging experiments. We work primarily with human subjects, but the postdoc will have the opportunity to collaborate with several animal labs at Harvard. For more information about the lab's research, please visit: http://web.mit.edu/sjgershm/www/ Start date: On or after July 1st, 2015. Qualifications: Strong candidates will have experience with computational neuroscience, probability theory, and model-based analysis of brain imaging and behavioral data. To apply: Candidates should send a CV and a research statement (not exceeding 2 pages) to Sam Gershman (gershman(a)fas.harvard.edu) Please arrange for 2 letters of reference to be sent to the same address. Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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Open PhD positions at the International Max Planck Research School (IMPRS) for Neural Circuits
by Jochen Triesch Dec. 4, 2014

Dec. 4, 2014

Call for applications: International Max Planck Research School for Neural Circuits The International Max Planck Research School (IMPRS) for Neural Circuits was funded in 2011 by the Max Planck Society and offers ten positions every year for excellent students holding a relevant Master´s or Bachelor´s degree to perform research resulting in a PhD. The program is taught in English. All positions are completely funded (by the school and/or participating Labs), either by a contract or a fellowship. The common focus of the IMPRS for Neural Circuits will be the understanding of neural circuits (from the simple to the large and complex), at all scales required to achieve this understanding. This ambitious objective will require analyses at the molecular, cellular, multi-cellular, network and behavioral levels, with the full understanding that macroscopic phenomena (spatial patterns, dynamics) can be scale-dependent, and that reductionism is not always sufficient as a method. In the IMPRS for Neural Circuits we offer a multidisciplinary program to excellent doctoral students with backgrounds in neuroscience, mathematics, physics, computer science, (bio) chemistry, biology and medicine as well as research experience in the participating institutions of the Frankfurt Neuroscience community (see website for participating Faculty members). Students will participate in a tailor-made educational program including research rotations and neuroscience classes but also in trainings in transferable skills. We welcome excellent students to apply to the program. Till January 15, 2015, it will be possible to apply for a position starting in the Fall of 2015. You can apply via our electronic registration system. After the deadline, the Faculty members will select around 25 students to participate in the interview symposium in Frankfurt (March 2015). Shortly after the symposium, the students will receive a letter with an offer or rejection. More information can be found on our website www.imprs.brain.mpg.de. Please send an email to arjan.vink(a)brain.mpg.de if you have more specific questions. -- 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

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JOURNAL OF INTEGRATIVE NEUROSCIENCE, vol. 14 (1)
by Roman Poznanski Dec. 4, 2014

Dec. 4, 2014

Journal of Integrative Neuroscience Volume 14, No.1 (March) 2015 1. A study of quantum probabilities in the classical Hodgkin-Huxley model Salari et al 2. Color properties of the motion detectors projecting to the goldfish tectum:2 Selective stimulation of different chromatic types of cones Maximov et al, 3. Opposing motion inhibits responses of DS ganglion cells in the fish retina Damjonovic et al. 4. Conducting processes in simulated chronic inflammatory demyelination polyneuropathy at 20-42 C Stephanova et al. 5. Rats’ Anticipation of Damaged Rungs in a New Version of the Elevated Ladder Skilled Walking Task: Possible Applications for Testing Rodent Models of Parkinson’s Disease Cohen et al. 6. Visual speech gestures modulate efficient auditory system Namasivayam et al. 7. Decoding of visual information from human brain activity: a review of fMRI and EEG studies. Zafer et al. 8. Self-relevant beauty evaluation: evidence from ERP study Kong and Zhang "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

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JOURNAL OF INTEGRATIVE NEUROSCIENCE, vol. 13 (4)
by Roman Poznanski Dec. 4, 2014

Dec. 4, 2014

Journal of Integrative Neuroscience volume 13 (4) 2014 1. Motor afferent from the cerebellum zona inserta and substantia nigra to the medidorsal thalamic nucleus in the rat Cavdar et al 2. Which one is better: a comparison of different models with motor dysfunction after traumatic brain injury in adult rats Wang et al. 3. Stoop-interference effect in Post traumatic stress disorder Cui et al 4. Expression of myeloid differentiation primary response protein 88 in rat spinal cord after chronic morphine treatment Xu et al. 5. Cytoplasmic domain of delta subunit is important for the extrasynaptic targeting of GABAa receptor subtypes Arslan et al. 6. Proteomic changes in the cortex membrane fraction of genetic absence epilepsy rats from Strasbourg B.Yuce-Dursum, et al. 7. Predicting brain states associated with object categories from fMRI data Behroozi and Daliri 8. Cognitive effects of acute restraint stress in male albino rate and the impact of pre-treatment with quetiapine versus ghrelin Amin et al. 9. Configural processing advantage for own-race than other-race faces during structure coding stage: An ERP study Lun et al. "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

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SIMTech-NTU Joint Laboratory on Complex Systems PhD Scholarship
by Darren Yang Dec. 4, 2014

Dec. 4, 2014

Dear All, Fully-funded PhD scholarships with very attractive monthly stipend and allowance are available at SIMTech-NTU Joint Laboratory on Complex Systems in the School of Computer Engineering (http://www.ntu.edu.sg/SCE) Nanyang Technological University, Singapore. Areas of interest include but not limited to: * Urbanization * Big Data & Analytics, Data mining & Machine Learning * Complex Adaptive System * Evolutionary and Memetic Optimization * Multi-agent modelling and simulation * Computer graphics * and any other areas related to future factories. Required Qualifications: (1) Outstanding bachelor or Master's degree in computer science or a related discipline; (2) Excellent programming skills are an asset; (3) Excellent English writing and speaking skills. How to apply: Interested applicants please attach your full CV and transcripts to Mr. Darren Yang @ yzyang(a)ntu.edu.sg<mailto:yzyang@ntu.edu.sg> Yours sincerely, Darren ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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Call for Papers: Behavioral Neuroscience. Deadline extended: Dec 20, 2014
by Tam, Nicoladie Dec. 4, 2014

Dec. 4, 2014

Call for papers Special Issue in Behavioral Neuroscience to be published in the Psychology and Behavioral Science (an open access journal) Lead guest editor: Nicoladie Tam, Ph.D. Deadline extension date: Dec 20, 2014 http://www.sciencepublishinggroup.com/specialissue/201002 Aims and Scope: • Molecular and cellular bases of behavior, including genetic and epigenetic mechanisms • Human and non-human animal cognition and emotion • Motivation, homeostasis and reward • Sleep and circadian rhythms • Sensory and motor processing • Animal models of psychopathology, addiction and neurodegenerative disorders • Developmental and lifespan analyses Subject areas in this Special Issue may include, but not limited to the following fields: • Cognitive psychology • Affective neuroscience • Behavioral psychology • Social psychology • Psychophysiology • Neuropsychology • Neuropharmacology • Psychopathology • Emotions • Cogntion • Addiction • Learning and memory • Gender differences • Psychiatric disorders • Cognitive theory • Brain imaging • Experimental neuropsychology • Neurobiological basis of behavior Nicoladie Tam, PhD Associate Professor Life Sciences Complex A246C Dept. of Biological Sciences University of North Texas 1155 Union Circle, #305220 Denton, TX 76203-5017 940-565-3261 nicoladie.tam(a)unt.edu http://www.biology.unt.edu/~tam/

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Extension of Deadline for the Special Issue on Cross-Frequency Coupling in Brain Networks
by Tjeerd Boonstra Dec. 3, 2014

Dec. 3, 2014

Dear colleagues, The deadline of the Special Issue on Cross-Frequency Coupling in Brain Networks: Methodological Challenges and Functional Implications in BioMed Research International has now been extended to Monday, 12 January 2015. Please note that while the Call for Papers still shows the old date, you will be able to submit a manuscript to the special issue until Monday, 12 January 2015. For more information on the special issue: http://www.hindawi.com/journals/bmri/si/897985/cfp/. To submit a manuscript, go to http://mts.hindawi.com/login/ and choose BIOMED RESEARCH INTERNATIONAL and then the section COMPUTATIONAL BIOLOGY where the special issue will appear. If you have any questions, please contact one of the organisers. We look forward to your contributions. Tjeerd Boonstra Ali Bahramisharif Andreas Daffertshofer Sylvain Baillet

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**Registration deadline THIS FRIDAY 12/07** MURI Winter School Jan. 2015
by Santamaria, Cookie Dec. 3, 2014

Dec. 3, 2014

UCSD and the University of Chicago present: MURI WINTER SCHOOL 2015<http://biocircuits.ucsd.edu/special/winterschool2015> Dynamics of Multifunction Brain Networks Organizers: Henry Abarbanel (UCSD), Timothy Gentner (UCSD), and Daniel Margoliash (Univ. of Chicago) 15th Floor, Building 1, Village West<http://maps.ucsd.edu/mapping/viewer/default.htm?mkey=1&lc=open&km=open&rc=c…>, UC San Diego January 7-9, 2015 Registration deadline: Friday, December 5, 2014 Abstract submission deadline: Friday, November 7, 2014 Lecturers: Tim Gardner<http://people.bu.edu/timothyg/Home.html> (Boston University) - "High density neural recordings in singing birds: methods and observations" Michael Long<http://longlab.med.nyu.edu/> (New York University) - "How does the brain generate behavioral sequences?" Gabriel Mindlin<http://www.lsd.df.uba.ar/> (University of Buenos Aires) - "The biomechanics of birdsong production" and "Low dimensional dynamics systems behind birdsong production" Richard Mooney<http://www.mooneylab.com/> (Duke University) - "Neurobiology of vocal learning" and "Forward mechanisms for hearing and learning" Marc Schmidt<http://www.bio.upenn.edu/people/marc-schmidt> (University of Pennsylvania) - "Brainstem and forebrain contributions to the generation of learned motor" Ofer Tchernichovski<http://ofer.sci.ccny.cuny.edu/> (Hunter College) - "Vocal learning beyond imitation: from cultural evolution to brain dopamine" and "How a song is learned: mechanisms of template matching" ________________________________________________________________________________ This is the third annual Winter School sponsored by the U.S. Office of Naval Research as part of its UCSD/Chicago MURI program in Dynamics of Multifunction Brain Networks. This year's School presents a series of pedagogical and research oriented talks on the use of birdsong as a model system where theory and experiment can meet productively. It includes a series of pedagogical presentations and a poster session. The School is intended for all researchers, including advanced graduate students, interested in the general area of understanding functional nervous systems. Active participation during the School's lectures is strongly encouraged. All attendees are invited to submit abstracts for poster presentations. Selected contributed posters will be highlighted in an oral session. Registration is required for attendance, but there is no fee for attending. A limited number of travel awards are available for exceptionally qualified graduate students and postdocs, who should apply and have their supervisor send a letter of reference, via email, to muri.winter.school(a)gmail.com<mailto:muri.winter.school@gmail.com>. Please visit us online to register and for details regarding the schedule and poster abstract submission: http://biocircuits.ucsd.edu/special/winterschool2015

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ECMLPKDD 2015: Call for Papers, Tutorials and Workshops
by ECMLPKDD 2015 Dec. 3, 2014

Dec. 3, 2014

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) will take place in Porto, Portugal, from September 7th to 11th, 2015 (http://www.ecmlpkdd2015.org) This event is the leading European scientific event on machine learning and data mining and builds upon a very successful series of 25 ECML and 18 PKDD conferences, which have been jointly organized for the past 14 years. ECMLPKDD 2015 will host three tracks, tutorials and a set of workshops. Therefore, we invite all researchers and practitioners from different communities to submit papers and/or present tutorial and workshop proposals. ************************* CALL FOR PAPERS * ************************* JOURNAL TRACK ********************* Articles for this track are submitted all year long directly to either Machine Learning or Data Mining and Knowledge Discovery, and are reviewed like regular journal articles. Accepted articles appear in full in the journal and the authors are given a presentation slot at the conference. Articles deemed insufficiently mature for journal publication may be accepted for inclusion in the proceedings. Submissions to the journal track will be managed by the Guest Editorial Board. Paper Submission: Cut-off dates for the bi-weekly batches are 14 Dec, 2014 and 4 Jan, 18 Jan, 1 Feb, 15 Fev, 1 Mar, 15 Mar, 29 Mar, 12 Apr, 26 Apr of 2015 Web Page: http://www.ecmlpkdd2015.org/submission/journal-track RESEARCH PROCEEDINGS TRACK ******************************************* The research proceedings track, which is organized in the traditional way. Accepted papers will be published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) of Springer, after reviewing by the program committee. Abstract submission deadline: March 26, 2015 Paper Submission deadline: April 2, 2015 Paper Acceptance Notification: June 1, 2015 Paper Camera Ready: June 15, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/research-proceedings-track INDUSTRIAL, GOVERNAMENTAL & NON-GOVERNAMENTAL PROCEEDINGS TRACK ****************************************************************** The NEW industrial, governmental & non-governmental (NGO) proceedings track is independent and distinct from the Research Track. Submissions to this track should solve real-world problems and focus on engineering systems, applications, and challenges. Accepted papers will be published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) of Springer, after reviewing by the programme committee. Abstract submission deadline: March 26, 2015 Paper Submission deadline: April 2, 2015 Paper Acceptance Notification: June 1, 2015 Camera ready submission: June 15, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/industrial-proceedings-track ***************************************************************** CALL FOR TUTORIAL AND WORKSHOP PROPOSALS * ***************************************************************** TUTORIALS ************** The tutorials are intended to provide a comprehensive introduction to established or emerging research topics of interest for the machine learning and the data mining community. These topics include related research fields or applications. The ideal tutorial should attract a wide audience. It should be broad enough to provide a basic introduction to the chosen research area, but it should also cover the most important topics in depth. We welcome half day workshop proposals. Proposal deadline: March 2, 2015 Proposal Acceptance Notification: March 23, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/call-for-tutorials WORKSHOPS **************** The workshops will be on relevant and current topics in Machine Learning and Data Mining. The scope of the proposal should be consistent with the conference themes as described in the ECML PKDD 2015 Call for Papers (http://www.ecmlpkdd2015.org/submission) Interdisciplinary workshops that bring together researchers and practitioners from different communities are especially welcome. We encourage workshops that bridge the gap between theoretical advances and important and/or innovative applications of machine learning and data mining. We welcome both full and half day workshop proposals. Proposal deadline: March 2, 2015 Proposal Acceptance notification: March 23, 2015 Workshop websites and call for papers online: March 27, 2015 Workshop proceedings (camera-ready): August 3, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/call-for-workshop-proposals Hope to see you all soon in Porto, Portugal!!! The publicity chairs of the ECML PKDD 2015, Carlos Abreu Ferreira Ricardo Campos --- Este e-mail foi verificado em termos de vírus pelo software antivírus Avast. http://www.avast.com

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Postdoc Position in Large-scale Brain Modeling
by Chris Eliasmith Dec. 3, 2014

Dec. 3, 2014

Centre for Theoretical Neuroscience, University of Waterloo We are recruiting for a theoretical neuroscientist interested in building large-scale functional brain models. The successful candidate will become an integral part of the team that has built the world's largest functional brain model, Spaun. This work was published in Science, and received coverage around the world on CNN, BBC, CBC, and hundreds of other outlets. We are building the next generation of computational platforms to run such models. This position will focus on using supercomputers (e.g., IBM BlueGene) to run models written in the Nengo environment (http://nengo.ca) Nengo is a general neural simulation environment that, in addition to Spaun, has been used to simulate adaptive arm controllers, state-of-the-art vision systems, natural language processors, reinforcement learners, and novel robotic controllers among many other projects. Postdocs will be encouraged to pursue their research program with these state-of-the-art tools. Qualifications: PhD in theoretical neuroscience or related field; experience with MPI, BlueGene, or other HPC environments desirable; python experience an asset. Start date: As soon as a suitable candidate is found Submit: CV, statement of research interests, three references Duration: 1 year renewable for a 2nd year Lab: CNRG http://compneuro.uwaterloo.ca/ Contact: celiasmith(a)uwaterloo.ca (Chris Eliasmith) Funding for the position will be provided by TalentEdge (http://www.oce-ontario.org/programs/industry-academic-collaboration/talente…) and a corporate sponsor.

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Workshop on Neural Population Dynamics, Paris region, Feb. 4th 2015
by Antoine Chaillet Dec. 3, 2014

Dec. 3, 2014

Dear all, We are pleased to announce the Workshop on Neural Population Dynamics, to be held in Supélec (Gif sur Yvette) on February, 4th 2015: http://neural-pops.sciencesconf.org This workshop aims at gathering neuroscientists and control theoreticians around the dynamics of neural populations. Its topics cover: • Modeling • Identification of parameters based on experimental data • Link between models • Mathematical analysis • Feedback control. The list of confirmed speakers is: • Bruno Cessac, INRIA • Alain Destexhe, UNIC • David Hansel, Univ. Paris 5 • Axel Hutt, INRIA • Dimitris Pinotsis, UCL • Peter Wellstead, Hamilton Institute. Registration is free but mandatory. Posters are welcomed. See website for details. The workshop is organized in the framework of the Research Initiative "Control and Neuroscience" of the iCODE institute of Paris-Saclay and the ANR project SynchNeuro. We look forward to seeing you there ! The organizers, Georgios Detorakis and Antoine Chaillet http://neural-pops.sciencesconf.org

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CFP: Special Issue on Applications of Operations Research in Neuroscience
by Ruben Tikidji-Hamburyan Dec. 3, 2014

Dec. 3, 2014

Dear Colleagues, [We apologize if you have received multiple copies of this message] We would like to draw your attention to the special volume on "Applications of Operations Research for Neuroscience" in the Annals of Operations Research. We cordially invite researchers in neuroscience who use operations research methods and related mathematical fields to contribute to this special issue. Potential topics include, but are not limited to, the following areas of neuroscience: * intracellular signaling and regulation * synaptic plasticity * dynamics in heterogeneous neural networks * intelligent systems and control * perceptual, cognitive and behavioral functions * learning and memory * spatio-temporal network analysis * combinatorial optimization * signal and information processing * neuroimaging and functional brain imaging processing * computational modelling and simulation Please note that the use of methods from modern operations research is a prerequisite for any paper submitted to this special issue to be accepted for review. Important Dates: Submission deadline of full papers: August 1, 2015. Submission Details: The format of manuscripts for the Annals of Operations Research as well as guidelines can be found on the web page of Springer, the publisher of the journal: http://www.springer.com/business/operations+research/journal/10479 Authors should submit a cover letter mentioning that the paper is for a special volume, along with and a manuscript via the journal's online submission site: http://www.editorialmanager.com/anor More details can be found in the Call for Paper attached to this e-mail. Please consider sharing this call for papers with any researchers who might be interested in contributing. On behalf of special volume guest editors, Ruben Tikidji-Hamburyan ------- Ruben Tikidji-Hamburyan,Ph.D. Department of Cell Biology and Anatomy Health Sciences Center Louisiana State University New Orleans, LA, 70112 A.B.Kogan Research Institute for Neurocybernetics Southern Federal University 344090, Russia

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Call for Papers ( Frontiers in Computational Neuroscience): Special Issue on Neuropsychology through the lenses of Computational Modelling
by Eirini Mavritsaki Dec. 2, 2014

Dec. 2, 2014

Call for Papers Special Issue in Frontiers in Computational Neuroscience 'Neuropsychology through the lenses of Computational Modelling' Computational modelling may provide an increasingly important tool for furthering neuropsychology and understanding brain impairments – but there remain many issues: how can different types of lesion be best modelled? What are the differences between damage to grey matter and to fibre tracts? What the effects of learning within damaged systems or systems where there is an imbalance in neurotransmitters? For this reason a special issue that brings together state-of-the-art papers on the computational modelling of neuropsychological disorders, with papers covering different levels of modelling (from spiking neurons to higher-level connectionist modelling), using imaging as well as behavioural data, and addressing a number of different disorders (attention, language, memory etc.) is expended to contribute significantly to the field of Neuropsychology and Computational Neuroscience. In collaboration with Frontiers in Computational Neuroscience, we are organizing a Research Topic titled "Neuropsychology through the lenses of computational modelling”, hosted by Eirini Mavritsaki, Glyn Humphreys. 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 Computational Neuroscience) 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/Computational_Neuroscience/researchtopics/Neurop…. 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. 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 Feb 16, 2015 using the following link: http://www.frontiersin.org/Computational_Neuroscience/researchtopics/Neurop… Please note that the deadline for manuscript submission is on: Jun 30, 2015 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. <<Variable for accept/decline links – do not edit!>> With best regards, Eirini Mavritsaki Guest Associate Editor, Frontiers in Computational Neuroscience www.frontiersin.org ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, Ph.D., CPsychol Co-Director of the Centre for Applied Psychological Research (CAP Research) Business Development Coordinator for Social Sciences Lecturer in Cognitive Psychology Faculty of Business Law and Social Sciences Birmingham City University D 3.17 Dawson Building City North Campus Perry Bar, Birmingham B42 2SU eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Call for proposals to host the annual Computational Neuroscience (CNS) Meeting in 2017
by Erik De Schutter Dec. 1, 2014

Dec. 1, 2014

After the record breaking CNS meetings in Paris, France and Québec City, Canada, OCNS (http://www.cnsorg.org) requests proposals from candidate local organizers to organize the CNS meeting in 2017 at a location in Europe. Groups or individuals interested in organizing the CNS*2017 meeting should submit a proposal with consideration of the extensive on-line information (http://www.cnsorg.org/cns-2017-local-organizer) and using the on-line templates provided as a guide. The OCNS board members will select/discuss the different proposals, contact the potential local organizers for more information if necessary and come to a timely agreement between OCNS and potential local organizers. Proposals should be emailed to the OCNS president at president(a)cnsorg.org no later than January 31, 2015. Decisions are expected to be conveyed to potential organizers about a month later. Erik De Schutter OCNS President

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Postdoctoral position in cerebellar network modeling in Okinawa
by Erik De Schutter Nov. 30, 2014

Nov. 30, 2014

A postdoctoral researcher position to model cerebellar function is available in the Computational Neuroscience Unit (https://groups.oist.jp/cnu) of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology Graduate University. Depending on previous experience research emphasis can be on analyzing population activity in network models of the olivocerebellum or on further development of XML-based methods for network model description and simulation, or a combination of both. Candidates should have experience in network modeling, preferentially using the parallel NEURON environment. Prior knowledge of cerebellar anatomy and physiology is a plus but not required. The postdoc will interact with other researchers and students in the lab who are working on cerebellar modeling projects. We offer attractive financial and working conditions in an English language graduate university that emphasizes interdisciplinary research, located on a beautiful subtropical island. Send curriculum vitae, Candidates should mail a summary of research interests and experience, and the names of three referees to Prof. Erik De Schutter at erik(a)oist.jp

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Two postdoctoral/research associate positions in computational neuroscience at Drexel University College of Medicine.
by Ilya Rybak Nov. 29, 2014

Nov. 29, 2014

Two postdoctoral/research associate positions in computational neuroscience at Drexel University College of Medicine Two postdoctoral/research associate positions in computational neuroscience for the duration of up to three years are available at Drexel University College of Medicine (Theoretical and Computational Neuroscience Lab of Dr. Ilya A. Rybak) to participate in externally funded projects. One position is for computational modeling of neural control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex and spinal cord in connection with simulation of pathological changes in motor control during Huntington’s disease. The other position involves modeling of spinal cord circuits, including the circuits of locomotor CPG, in close interactive collaboration with several world leading laboratories performing experimental studies in the isolated rodent spinal cord. Applicants must have a PhD degree in Applied Mathematics, Physics, Computer Science, Neuroscience, or related discipline and have excellent C++ programming skills. Previous experience in computational modeling of biological neurons and neural networks is a plus. Interested candidates are encouraged to contact Dr. Rybak (rybak(a)drexel.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

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PhD Studentships in Neurotechnology at Imperial College London
by Simon Schultz Nov. 28, 2014

Nov. 28, 2014

*4-year studentships available in the Imperial College EPSRC Centre for Doctoral Training in Neurotechnology for Life and Health* *Ten fully-funded studentships are now available for start in October 2015. * Neurotechnology is the use of insights and tools from engineering, mathematics, physics, chemistry, and biology to investigate neural function and treat dysfunction. Brain-related illnesses affect more than two billion people worldwide, and the numbers are growing. Reducing this burden is a major challenge for society. The Centre for Doctoral Training in Neurotechnology for Life and Health will train a new generation of multidisciplinary researchers at the interface of neuroscience and engineering, to address this challenge. The Centre spans the Faculties of Engineering, Natural Sciences and Medicine at Imperial, with investigators from the Departments of Bioengineering, Mechanical Engineering, Electrical and Electronic Engineering, Computing, Chemistry, Physics, Life Sciences, and the Division of Brain Sciences. Directed by Dr Simon Schultz, Prof Bill Wisden and Prof Paul Matthews, it intends to admit approximately 14 students per year. All research projects will involve a team of supervisors, each of whom will bring complementary expertise to the project. In addition to researchers from across Imperial College, the Centre involves twenty industry and charity partners, as well as satellite research groups at the Crick Institute and the University of Oxford. Studentships begin with a one-year MRes in Neurotechnology, which forms an integral part of the four year training programme. During this year, students will take 3 months of taught courses specially developed for the CDT, followed by laboratory rotations as part of a single research training project. After the first year, students enter the PhD phase having developed the interdisciplinary and technical skills to thrive in a cutting edge research environment, and make the most impact with their PhD. *Who should apply* Applicants should be seeking to undertake a /multidisciplinary /4-year research training programme at the interface between neuroscience and engineering. Candidates should have, or expect to obtain, a first or upper second class degree, or non-UK equivalent, 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. All studentships are open to UK or EU applicants who meet EPSRC eligibility criteria (see www.epsrc.ac.uk/skills/students/help/eligibility <http://www.epsrc.ac.uk/skills/students/help/eligibility>). A limited number of places is also available to UK or EU applicants, with no residency criteria. International (ie non UK/EU) candidates may be considered for the CDT programme *if they can provide their own full funding*for the 4 years. *Funding* Studentships cover tuition fees and a tax free stipend of approximately £16,000 per year. A generous annual allowance is provided for research consumables and for conference attendance. *How to Apply* Visit www.imperial.ac.uk/neurotechnology/cdt <http://www.imperial.ac.uk/neurotechnology/cdt>for more information on the CDT as well as details of projects available and how to apply.*Application deadline: 30^th January 2015*. -- Simon R Schultz Reader in Neurotechnology & Royal Society Industry Fellow Neural Coding Laboratory: http://www.schultzlab.org Department of Bioengineering, Imperial College London South Kensington, London SW7 2AZ, UK Director, Imperial College Centre for Neurotechnology Administrator: Dr Kate Hobson, Phone: +44 207 594 5101 http://www.imperial.ac.uk/neurotechnology EU Neural Engineering Marie Curie ITN: http://www.neural-engineering.eu

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Job offer
by Silvia Gruhn Nov. 27, 2014

Nov. 27, 2014

Dear Madam/Sir, could you please post the following Job offer for us? "The Heisenberg Research Group of Computational Biology at the University of Cologne in Cologne, Germany announces a Research Position (100%, EG TV-L 13) in computational neuroscience for the duration of up to three years. The position is available in the externally funded project "Central pattern generators and reflexive feedback in insect locomotion: a cross-species study". Animal locomotion begins in the central nervous system and results in quantifiable mechanical activity; it therefore provides an excellent entry point into the neural computations that create intentional behaviors that respond to environmental conditions. Locomotion originates in central pattern generators: neural networks in the spinal cord of vertebrates and thoracic ganglia of insects which produce rhythmic movements. Some preparations (e.g. lamprey, crayfish) can generate stable, near-periodic rhythms in isolation, others require sensory feedback either to produce functional gaits or for the stabilization of the rhythms. Cockroaches and stick insects exemplify these two extremes. They share the same basic neural and biomechanical architecture, but the former run rapidly over rough ground, while the latter are adapted for slow walking on twigs and leaves with varying orientations with regard to gravity. Using existing information and collecting new data, this project will compare these species and address questions as described in the work plan. The development of integrated mathematical and computational models is central to answering such questions. New data will improve existing models, and new models will be created to span the morphological and behavioral ranges from stick insects to cockroaches, allowing us to illuminate their adaptive strategies to different environments. The objective of our research project is to deepen our understanding of the generation and control of locomotion. This collaborative project is performed jointly by the groups of Drs. Silvia Gruhn (Dept. of Animal Physiology, University of Cologne, Cologne, Germany) and Phil Holmes (Dept. of Mathematics, Princeton University, Princeton, NJ, USA). Applicants must have a Master's degree or a Diploma in Applied Mathematics, Physics, or a related discipline and have excellent C++ programming skills. Previous experience in computational neuronal modeling is an advantage. The possibility to be enrolled into a PhD program will be provided if desired. Interested candidates are encouraged to contact Dr. Silvia Gruhn (sgruhn(a)uni-koeln.de) 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 two referees." Thank you very much! With kind regards, Silvia Gruhn -- PD Dr. Silvia Gruhn DFG-Heisenberg Programm - Leiterin der Arbeitsgruppe 'Computational Biology' Zoologisches Institut, Abt. Tierphysiologie Universität zu Köln Biowissenschaftliches Zentrum, Zi. 1.104 Zülpicher-Straße 47b 50674 Köln Tel. 0221-4703829 Fax. 0221-4704889 http://www.neuro.uni-koeln.de/neuro-gruhn-staff-sg.html

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Program available for Workshop on Neural Information Dynamics, Causality and Computation near Criticality”, December 12-13th, 2014
by Michael Wibral Nov. 25, 2014

Nov. 25, 2014

Dear Computational Neuroscience Community, the program for the "Workshop on Neural Information Dynamics, Causality and Computation near Criticality" (below) is available from Thursday, Nov. 26th at: http://www.proloewe.de/en/neff A few places are still left for both, workshop and course, and will be given away first come, first serve (email to wibral(a)em.uni-frankfurt.de) The program of the workshop now offers the opportunity to bring a Poster. Best Regards, Michael Wibral ------------------------------------------------------------------------------------------------------------------ LOEWE-NeFF and the Frankfurt Institute for Advanced Studies (FIAS) jointly invite to the “Workshop on Neural Information Dynamics, Causality and Computation near Criticality” December 12-13th, 2014 The workshop is preceded by a “Software course on Neural Information Dynamics with TRENTOOL, the Java Information Dynamics Toolkit and MuTE” December 10-11th, 2014 Venue: Workshop and Software course will be held at the Frankfurt Institute for Advanced Studies (FIAS, www.fias.uni-frankfurt.de) Ruth-Moufang-Straße 1, 60438 Frankfurt, Germany The workshop addresses methods and recent advances in the analysis of computation in large neural systems, focusing on three tightly interrelated topics: Neural information dynamics Information theoretic quantities separate and measure key elements of distributed computation in neural systems, such as the storage, transfer, and modification of information. These concepts can help to better understand the computational algorithms implemented by the dynamics of a neural system, and to provide the link between these algorithms and their biophysical implementation. Causality The analysis of causal interactions yields important insights into the biophysical substrate of neural dynamics that enable emergent computation. It is one of the goals of the workshop to discuss the link between causal analysis and the analyses of information processing proper, in order to clarify the dividing line and the mutual benefit of these two types of analyses. Large scale organisation and criticality Neural systems orchestrate the activity of an enormous number of interacting neurons to achieve their computational capabilities. Recent technological advances make it possible to record simultaneously from a large number of neurons. Here we explore recent developments in identifying large-scale organizing principles underlying computation in extended neural system.

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[meetings] Living Machines IV: First Call for Papers, Satellite Events and Sponsors
by Nathan F Lepora Nov. 25, 2014

Nov. 25, 2014

______________________________________________________________ First Call for Papers, Satellite Events and Sponsors Living Machines IV: The 4th International Conference on Biomimetic and Biohybrid Systems 27th to 31st July 2015 http://csnetwork.eu/livingmachines To be hosted at the La Pedrera Barcelona, Spain In association with the Universitat Pompeu Fabra Accepted papers will be published in Springer Lecturer Notes in Artificial Intelligence Submission deadline March 16th, 2015 ______________________________________________________________ ABOUT LIVING MACHINES 2015 The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. Biomimetics is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. Biohybrid systems are formed by combining at least one biological component—an existing living system—and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The following are some examples: • Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. • Active biomimetic materials and structures that self-organize and self-repair. • Biomimetic computers—neuromimetic emulations of the physiological basis for intelligent behaviour. • Biohybrid brain-machine interfaces and neural implants. • Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. • Organism-level biohybrids such as robot-animal or robot-human systems. ACTIVITIES The main conference will take the form of a three-day single-track oral and poster presentation programme, 29th to 31st July 2015, hosted at the La Pedrera, Barcelona, Spain. The conference programme will include five plenary lectures from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies The full conference will be preceded by up to two days of Sateliite Events hosted by the Universitat Pompeu Fabra in Barcelona. SUBMITTING TO LIVING MACHINES 2015 We invite both full papers and extended abstracts in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines 2015 proceedings which we expect to be published in the Springer-Verlag LNAI Series. Full papers (upto 12 pages) are invited from researchers at any stage in their career but should present significant findings and advances in biomimetic or biohybid research; more preliminary work would be better suited to extended abstract submission (minimum 4 pages). Further details of submission formats will be circulated in an updated CfP and will be posted on the conference web-site. Full papers will be accepted for either oral presentation (single track) or poster presentation. Extended abstracts will be accepted for poster presentation only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of Bioinspiration and Biomimetics. Satellite events Active researchers in biomimetic and biohybrid systems are invited to propose topics for 1-day or 2-day tutorials, symposia or workshops on related themes to be held 27-28th July at Universitat Pompeu Fabra. Events can be scheduled on either the 27th or the 28th or across both days. Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is a lot of flexibility about the content, organisation, and budgeting for these events. Please contact us if you are interested in organising a satellite event. EXPECTED DEADLINES March 16th, 2015 Paper submission deadline May 1st, 2015 Notification of acceptance May 22nd, 2015 Camera ready copy July 27-31 2015 Conference SPONSORSHIP Living Machines 2015 is sponsored by the Convergent Science Network (CSN) for Biomimetics and Neurotechnology. CSN is an EU FP7 Future Emerging Technologies Co-ordination Activity that also organises two highly successful workshop series: the Barcelona Summer School on Brain, Technology and Cognition (http://bcbt.upf.edu/bcbt12/) and the Capoccaccia Neuromorphic Cognitive Engineering Workshop. The 2015 Living Machines conference will also be hosted and sponsored by the Universitat Pompeu Fabra. Call for Sponsors. Other organisations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products to through conference publications, the conference web-site, and conference publicity are encouraged to contact the conference organisers to discuss the terms of sponsorship and necessary arrangements. We offer a number of attractive and good-value packages to potential sponsors. ABOUT THE VENUE Living Machines 2015 returns to the venue of our first conference at the beautiful biomimetic building La Pedrera (Casa Mila) (https://www.lapedrera.com/en/home) designed by reknown modernist architect Antoni Gaudi. Attendees at the conference will get a free ticket to visit this historic building in the centre the Barcelona. Workshops will be held at the Pobleneu Campus of Universitat Pompeu Fabra, close to hotel and restaurant area of the Diagonal and Ramblas de Pobleneu and a short walk from Barcelona’s famous beaches. Organising Committee: Paul Verschure, Universitat Pompeu Fabra (Co-chair) Tony Prescott, University of Sheffield (Co-chair) Stuart Wilson, University of Sheffield (Program Chair) Anna Mura, Universitat Pompeu Fabra (Communications, Local Organiser) Nathan Lepora, University of Bristol (Communications) Carme Buisan University Pompeu Fabra (Treasurer) -- Dr N Lepora Phone: 07859 024565 Website: www.lepora.com Honorary Research Fellow, Sheffield Centre for Robotics (SCentRo) University of Sheffield S10 2TP Lecturer in Robotics, Department of Engineering Mathematics and Bristol Robotics Laboratory University of Bristol BS8 1UB

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Olfactory Modeling Workshop
by Sharon Crook Nov. 24, 2014

Nov. 24, 2014

The National Institute for Mathematical and Biological Synthesis (NIMBioS) is now accepting applications for its Investigative Workshop, "Olfactory Modeling," to be held March 2-4, 2015, at NIMBioS. Objectives: The sense of smell is important for all animals; odors are associated with identifying and locating food, determining food quality, and identifying threats. In humans, loss of sense of smell occurs with normal aging and is associated with a loss in quality of life. A decline in the ability to detect and discriminate odors also can be a harbinger of neurodegenerative conditions such as Parkinson's disease and Alzheimer's disease. Moreover, the olfactory system is an important model system for exploring neural computation including changes in neural circuits in response to the environment and experience. The olfactory system provides specific advantages for understanding learning and memory, one of the most important goals in neuroscience. Technological advances have led to a wealth of information about how olfactory coding takes place in the mammalian nervous system, where experimental approaches range from large-scale measurement of neural activity during behavior to manipulation of activity via optogenetics. Integration of these data through comprehensive models of the neural networks involved in olfactory processing will advance our understanding of olfaction, including the relationship between neural activity and behavior. This workshop will review the current state of the mathematical approaches and tools for modeling olfaction, identify tasks that will maximize the impact of individual projects, and establish collaborations for large-scale modeling of this system, with a focus on incorporating realistic biophysical mechanisms for learning and memory. Location: NIMBioS at the University of Tennessee, Knoxville Co-Organizers: Sharon Crook (School of Mathematical and Statistical Sciences & School of Life Sciences, Arizona State University) and Brian Smith (School of Life Sciences, Arizona State University) For more information about the workshop and a link to the online application form, go to http://www.nimbios.org/workshops/WS_olfaction Participation in the workshop is by application only. Individuals with a strong interest in the topic are encouraged to apply, and successful applicants will be notified within two weeks of the application deadline. If needed, financial support for travel, meals, and lodging is available for workshop attendees. Application deadline: December 14, 2014 The National Institute for Mathematical and Biological Synthesis (NIMBioS) (http://www.nimbios.org) brings together researchers from around the world to collaborate across disciplinary boundaries to investigate solutions to basic and applied problems in the life sciences. NIMBioS is sponsored by the National Science Foundation, with additional support from The University of Tennessee, Knoxville.

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Professor of Systems and Circuits Neuroinformatics, ETH Zurich and University of Zurich
by Michael Pfeiffer Nov. 24, 2014

Nov. 24, 2014

The Department of Information Technology and Electrical Engineering (www.ee.ethz.ch <http://www.ee.ethz.ch/>) at ETH Zurich and the Faculty of Science (www.mnf.uzh.ch <http://www.mnf.uzh.ch/en/news.html>) of the University of Zurich invite applications for the above-mentioned position in the Institute of Neuroinformatics (INI, www.ini.uzh.ch) to complement and extend its vigorous research activities. The research of the candidate should be directed towards the theory and practice of computation in neural systems and behavior, with a strong interest in theory driven experimental neuroscience and information processing in neural circuits. The successful candidate will combine cutting-edge theories and experiments in neural information processing and computation to explore the causal links between neuronal circuits and behaviour in vertebrates. An ability to develop requisite neurotechnologies will be an asset. The successful candidate will contribute to a highly collaborative multi-disciplinary environment. We encourage internationally recognized candidates with strong research records to apply. We seek to fill either a tenured or tenure-track professorship position. The new professor will be expected to teach undergraduate level courses (German or English) and graduate level courses (English). The INI is a joint institute of the Faculty of Science of the University of Zurich and the Department of Information Technology and Electrical Engineering of ETH Zurich. The INI fosters research at the interface between neuroscience, computing and engineering through its research, teaching and graduate training, and specialist international workshop programs. Its members conduct a coordinated research program by means of multidisciplinary teams composed of about 70 biologists, physicists, psychologists, engineers and computer scientists. Through many levels of experiment and theory INI scientists explore how the circuits of the brain process information to generate intelligent behavior. They exploit new developments in silicon technology and computers as a means of developing models and hardware implementations of information processing and storage in the brain. In order to strengthen interdisciplinary research, the new professor should have a strong overlap with existing interests in the INI, and also forge links with other institutes of the University of Zurich and the ETH Zurich (for example: Biology, Brain Research, Pharmacology, Computer Science, Information Technology and Electrical Engineering, Mathematics, and Physics). To apply online, please go to http://www.facultyaffairs.ethz.ch/facultypositions/prof_neuroinformatics and follow the link there.** <https://www.bi.id.ethz.ch/recruiting_app/url/Position/10878977?guest=true> Applications should include a curriculum vitae, a list of publications and statements of future research and teaching activities. The letter of application should be addressed *to the President of ETH Zurich. The closing date for applications is 15 January 2015*. ETH Zurich is an equal opportunity and family friendly employer and is further responsive to the needs of dual career couples. We specifically encourage women to apply. -- ========================================= Dr. Michael Pfeiffer Group leader, Program coordinator 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/ =========================================

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Wellcome Trust 4-year PhD programme 'Systems Neuroscience: From Networks to Behaviour'
by Marcus Kaiser Nov. 24, 2014

Nov. 24, 2014

Dear all, our Wellcome Trust 4-year PhD programme in systems neuroscience, aimed at applicants from the physical sciences (physics, engineering, mathematics, or computer science), is now accepting applications for studentships starting in September 2015 (see below). Research areas include Neuroinformatics, Computational Neuroscience, Neuroimaging (fMRI, DTI, EEG, ECoG in rodents, non-human primates, and humans), Brain Connectivity, Clinical Neuroscience, Behaviour and Evolution, and Brain Dynamics (simulations and time series analysis). Strong interactions between clinical, experimental, and computational researchers are a key component of this programme (see, for example, http://www.cando.ac.uk/ for a current research project). On a separate note, we also offer a one-year master programme in Neuroinformatics (http://www.ncl.ac.uk/computing/study/postgrad/taught/5199/ ) which is now accepting applications. See http://neuroinformatics.ncl.ac.uk/ for more information about the research environment. Best, Marcus *Wellcome Trust 4-year PhD programme 'Systems Neuroscience: From Networks to Behaviour'* Programme Directors: Prof. Stuart Baker, Prof. Tim Griffiths, and Dr Marcus Kaiser The Institute of Neuroscience at Newcastle University integrates more than 100 principal investigators across medicine, psychology, computer science, and engineering. Research in systems, cellular, computational, and behavioural neuroscience. Laboratory facilities include auditory and visual psychophysics; rodent, monkey, and human neuroimaging (EEG, fMRI, PET); TMS; optical recording, multi-electrode neurophysiology, confocal and fluorescence imaging, optogenetics, high-throughput computing and e-science, artificial sensory-motor devices, clinical testing, and the only brain bank for molecular changes in human brain development. The Wellcome Trust's Four-year PhD Programmes are a flagship scheme aimed at supporting the most promising students to undertake in-depth postgraduate research training. The first year combines taught courses with three laboratory rotations to broaden students' knowledge of the subject area. At the end of the first year, students will make an informed choice of their three-year PhD research project. This programme is based at Newcastle University and is aimed to provide specialised training for physical and computational scientists (e.g. physics, chemistry, engineering, mathematics, and computer science) wishing to apply their skills to a research neuroscience career. Eligibility/Person Specification: Applicants should have, or expect to obtain, a 1st or 2:1 degree, or equivalent, in a physical sciences, engineering, mathematics or computing degree. Value of the award: Support includes a stipend for 4 years (£20k/yr tax-free), PhD registration fees at UK/EU student rate, research expenses, general training funds and travel costs. How to apply: You must apply through the University's online postgraduate application form ( http://www.ncl.ac.uk/postgraduate/funding/search/list/IN076 ) inserting the reference number IN076 and selecting 'Master of Research/Doctor of Philosophy (Medical Sciences) - Neuroscience' as the programme of study. Only mandatory fields need to be completed (no personal statement required) and a covering letter, CV and (if English is not your first language) a copy of your English language qualifications must be attached. The covering letter must state the title of the studentship, quote the reference number IN076 and state how your interests and experience relate to the programme. The deadline for receiving applications is 15 January 2015. You should also send your covering letter and CV to Beckie Hedley, Postgraduate Secretary, Institute of Neuroscience, Henry Wellcome Building, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, or by email to ion-postgrad-enq(a)ncl.ac.uk . For more information, see http://www.ncl.ac.uk/ion/study/wellcome/ -- 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/

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Tenure-Line Faculty Position in Applied Mathematics and Statistics
by aamarasingham＠ccny.cuny.edu Nov. 23, 2014

Nov. 23, 2014

Dear Colleagues, The Mathematics department at The City College of New York (CCNY) is hiring two tenure-line faculty this year. At least one of these positions is targeted for applied mathematics, probability, and/or statistics. Interdisciplinary research in Neuroscience is currently a targeted growth area at CCNY and CUNY, so researchers who focus on applications of mathematics or statistics to neuroscience are encouraged to apply. The official closing date for applications is December 31, 2014. See below for the full announcement. Best regards, Asohan Amarasingham The Department of Mathematics of the City College of New York invites applications for one or two tenure-track faculty positions. The positions are primarily targeted at the level of Assistant Professor, but the Associate Professor and Professor ranks will also be possible for outstanding established researchers. The starting date is August 27, 2015. DUTIES & RESPONSIBILITIES Preference for one of the positions will be given to a researcher in probability, statistics and/or applied and computational mathematics. Preference will also be given to applicants working in one or more other areas of current departmental research including number theory, dynamics, group theory, logic, combinatorics, differential geometry, and applied mathematics. Researchers whose areas bridge existing departmental research areas, and exceptional candidates in all areas, will also be considered. Duties will include teaching a range of courses at the undergraduate and graduate levels. The successful applicant will be expected to continue an active research program supported in part by external funding. REQUIREMENTS Requirements include a Ph.D. or equivalent awarded by September, 2015, significant achievements or outstanding potential in research, and evidence of and commitment to excellence in teaching. Candidates with at least two years experience after the Ph.D. degree in a mathematical research or teaching position will be given strong preference. Exceptional candidates with less experience may also be considered. COMPENSATION Commensurate with qualifications and experience. CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development. HOW TO APPLY To apply, please submit a C.V. and statements detailing research and teaching interests at CUNY's Employment page (www.cuny.edu, Job-id 11759). In addition to applying on cuny.edu, please submit an application to Math Search, CCNY Math Department, via www.mathjobs.org. The application should include a C.V, publication list, statements detailing research and teaching interests, and four letters of reference, three addressing research and one addressing teaching qualifications. Any difficulties with the application process can be addressed to: Mr. Jason Redman via email to jredman(a)ccny.cuny.edu Or by telephoning (212) 650-5173 CLOSING DATE December 31, 2014, late applications of exceptional candidates may still be considered. EQUAL EMPLOYMENT OPPORTUNITY We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.

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Applied Mathematics Visiting Assistant Professorship, Northwestern University
by Hermann Riecke Nov. 22, 2014

Nov. 22, 2014

Visiting Assistant Professorship in Applied Mathematics The Department of Engineering Sciences and AppliedMathematics at Northwestern University (http://www.esam.northwestern.edu) invites applications for the position of Visiting Assistant Professor in Applied Mathematics. This is a one-year, non-tenure-track position with the possibility of renewal for a second year. Duties involve teaching and research in applied mathematics with a focus on applications in engineering and/or the sciences. More information about this position can be found at: http://www.esam.northwestern.edu/job-openings/index.html. The starting date is September 1, 2015. Outstanding candidates at all levels are encouraged to apply, but preference will be given to junior level candidates. The application package should include a cover letter, curriculum vita, statement of research accomplishments and interests, and statement of teaching experience and philosophy. The application should be submitted online at: https://facultysearch.mccormick.northwestern.edu/apply/index/Njc=. In addition, the applicant should arrange for at least two, but no more than three letters of recommendation. Recommendation letters will be automatically solicited from the letter writers by email after the names are entered in the online application system. To ensure full consideration, applications should be received by December 1, 2014, but applications will be accepted until the position is filled. Questions may be directed to Lori Choi at esam(a)northwestern.edu (subject line: Visiting Assistant Professor Search). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities.Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States. Engineering Sciences and Applied Mathematics Northwestern University 2145 Sheridan Road, Room M426 Evanston, IL 60208-3125, USA esam(a)northwestern.edu Phone: (847) 491-3345

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Fwd: Master in Cognitive Systems and Interactive Media (Applications Open 24 November)
by INFO CSNETWORK, Bústia Compartida Nov. 21, 2014

Nov. 21, 2014

apologies for double posting! ---------- Forwarded message ---------- From: Pares Burgues, Narcis <narcis.pares(a)upf.edu> Date: 17 November 2014 17:37 Subject: Master in Cognitive Systems and Interactive Media (Applications Accepted) To: CHI-ANNOUNCEMENTS(a)listserv.acm.org * <http://www.upf.edu>* *CSIM - Master in Cognitive Systems and Interactive Media <http://www.upf.edu/csim/>* CSIM's goal is to study and advance the *design, construction* and *deployment* of *advanced autonomous artifacts* that interact in complex physical and social environments, grounded in our understanding of biological, psychological and technological principles. Our CSIM students: - design, construct and deploy interactive artifacts <http://www.upf.edu/csim/information/thesis/> - publish their work in top journals and conferences <http://www.upf.edu/csim/information/thesis/#Publications> - have access to unique infrastructures <http://www.upf.edu/csim/teaching/> - find exciting academic and professional opportunities after the master <http://www.upf.edu/csim/alumni/> - are immersed in an international melting pot: +30 nationalities <http://www.upf.edu/csim/presentation/#International> - exhibit their artifacts at festivals, museums and events <http://www.upf.edu/csim/information/thesis/#Exhibitions> All this in a *culturally and socially rich, modern and dynamic* city as *Barcelona <http://w110.bcn.cat/portal/site/Turisme?lang=en_GB>* and in Universitat Pompeu Fabra <http://www.upf.edu>, the university in Spain with the highest performance per researcher and one of the fastest rising universities in Europe. Master 100% in English *APPLICATIONS OPEN <http://www.upf.edu/postgrau/en/acces-admissio/proces_inscripcio.html#.VGZ5w…> starting November 24* *Narcís Parés Burguès, PhD.* Tenure Associate Professor Cognitive Media Technologies group ICT Department http://cmtech.upf.edu/ Coordinator of CSIM Master http://csim.upf.edu/ [image: Universitat Pompeu Fabra, Barcelona]

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Postdoc in Neuroscience - University of Leicester
by Quian Quiroga, Rodrigo (Prof.) Nov. 21, 2014

Nov. 21, 2014

*** apologies for multiple postings *** Please see below for a post-doc position in our centre. Deadline is this coming Monday. Cheers, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn www.facebook.com/neuroscienceleicester www.twitter.com/CSNLeics ________________________________________ From: comp-neuro-bounces(a)neuroinf.org [comp-neuro-bounces(a)neuroinf.org] on behalf of Atkinson, Sue [sam45(a)leicester.ac.uk] Sent: Monday, October 27, 2014 3:43 PM To: comp-neuro(a)neuroinf.org Subject: [Comp-neuro] Research Associate in Neuroscience, University of Leicester Dear Colleagues, We are recruiting for a Research Associate here at the Centre for Systems Neuroscience, University of Leicester. You will work on calcium imaging (2-photon) and electrophysiology recordings in mice as part of the research activities of the Centre for Systems Neuroscience. Research will be done in collaboration with the Department of Cell Pharmacology and Physiology (Ian Forsythe). The project aims to use a virtual navigation environment for the head restrained mice to record neuronal activity in the mouse hippocampus whilst the animal performs different tasks. The work will be performed in synergy with experiments done in humans (“concept cells”) to gain a deeper understanding of perception and memory processes. You will contribute to imaging and electrophysiology data collection and analysis, as well as the design of the experiments and overall setup of the system. In particular you will work on the development and optimization of advance methods for the analysis of the data. You will have, or be close to completing, a PhD in an area related to Neuroscience or signal processing (physics, mathematics, engineering, computer sciences). You will also have good programming skills, particularly in Matlab, and ideally you have experience in neurophysiology and imaging recording. Informal enquiries are welcome and should be made to Sue Atkinson on sam45(a)le.ac.uk or 0116 252 3249. The closing date for this post is midnight on 24 November 2014. Click here and search on the reference number SEN00519 for more information and to apply. http://www2.le.ac.uk/offices/jobs/opportunities/jobsearch Sue ------------------------------------------------------------------------------------- Susan Atkinson Centre Manager Centre for Systems Neuroscience, University of Leicester, 9 Salisbury Road, Leicester, LE1 7QR, UK T: +44 116 252 3249 E: sam45(a)le.ac.uk<mailto:sam45@le.ac.uk> W: http://www2.le.ac.uk/centres/csn [cid:image001.jpg@01CFF1FC.B7D361D0] Elite without being elitist Follow us on Twitter<https://twitter.com/uniofleicester> or visit our Facebook<http://www.facebook.com/uniofleicester> page

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PhD in “Characterising motor impairments in autism using computational techniques” at the University of Manchester
by Marcelo Montemurro Nov. 20, 2014

Nov. 20, 2014

sent on behalf of Dr Emma Gowen. PhD in “Characterising motor impairments in autism using computational techniques”. Applications are invited for this fully-funded PhD position (fees and salary) in the lab of Dr Emma Gowen in the Faculty of Life Sciences, University of Manchester Deadline: 26th Nov 2014 Start date: September 2015 Duration: 4 years Eligibility: Candidates must be nationals of the UK or other EU country This project will apply computational and statistical methods to motion tracking data in order to determine the nature of motor impairments in autistic individuals. Autism is a life-long developmental condition that affects how a person communicates and interacts with people. In addition to these social symptoms, autistic individuals have altered motor control such as less accurate eye-hand coordination and abnormal gait patterns causing considerable problems with daily living and social skills. Despite this impact, motor problems are poorly characterised. In this project, computational and statistical methods (e.g. feature extraction, machine learning) will be applied to movement data recorded from autistic and non-autistic people in order to address the following questions: Can motor ability differentiate between autistic and non- autistic groups? Can motor ability be used as a diagnostic marker for autism? Are there different subgroups of motor impairment present in the autistic population? For more details of the project please visit: http://www.ls.manchester.ac.uk/phdprogrammes/projectsavailable/project/?id=… **************************************************** Dr Emma Gowen Senior Lecturer Body, Eyes and Movement (BEAM) lab http://beamlab.lab.ls.manchester.ac.uk/ http://www.dremmagowen.webspace.virginmedia.com/EmmaSite/Home.html http://www.autism.manchester.ac.uk/

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Postdoctoral / doctoral student position in Computational Neuroscience for a Germany – Japan collaborative project: Development of the functional organization in visual cortex.
by Matthias Kaschube Nov. 19, 2014

Nov. 19, 2014

POSITION: The group of Matthias Kaschube at the Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt, Germany, is seeking a highly motivated postdoctoral researcher or doctoral student who will develop and analyze a neural circuit model of mouse visual cortex development. This is for a newly funded joint project with the experimental group of Kenichi Ohki at Kyushu University in Japan. The position will emphasize theoretical and computational work, but an active engagement with neural data analysis is desired. Our aim in this project is to identify the changes in circuitry that underlay the reorganization of visual response properties in mouse visual cortex upon eye opening. The position is available immediately, for up to three years. LAB ENVIRONMENT: The work will be carried out primarily at FIAS, a research institution dedicated to fundamental theoretical research in various areas of science. FIAS hosts state-of-the-art facilities and has tight links to neuroscience centers at the Goethe University, the Max-Planck Institute for Brain Research and the Ernst Strüngmann Institute for Neuroscience. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe and boasts a rich cultural community. Due to the strong interactive nature of this project, short and long-term visits in Kenichi Ohki’s lab are expected. For further information on activities in the Kaschube lab, please visit http://fias.uni-frankfurt.de/neuro/kaschube/ QUALIFICATIONS: Selection criteria include strong mathematical skills and past research accomplishments. Applicants must have received training in a relevant quantitative discipline, e.g. physics, computer science, math, computational neuroscience. Previous experience with neurobiology is advantageous but not essential. APPLYING: Applicants should email a CV to Matthias Kaschube (kaschube(a)fias.uni-frankfurt.de). The position is available immediately, and we look forward to reviewing applications as they arrive. FIAS is dedicated to building a diverse community in its training and employment programs.

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Postdoc Position in Face Recognition with Attributes, at the University of Caen, France
by Frederic Jurie Nov. 19, 2014

Nov. 19, 2014

Postdoc Position in Face Recognition with Attributes, at the University of Caen, France The Computer Vision group of the University of Caen (France) is opening a PhD position starting on the 1st of February 2015. Topic: We are interested in forensic investigation scenarios in which some persons of interest have to be identified using verbal descriptions provided by witnesses (e.g. gender, race, age, etc.). It is well known that, in general, variations in pose, illumination, occlusions, or expression makes face recognition in unconstraint environments very challenging. In this context, we aim at addressing simultaneously the two issues (searching subject by verbal description and building robust face description) by building semantic visual features of a face images that are insensitive to the aforementioned imaging variations and can be used for verbal searches. More precisely, we will investigate potential extensions of the recent works on this topic, such a [1,2,3,4,5,6]. This research will be carried within the context of the ANR/PHYSIONOMIE project; scientific collaborations with the MORPHO company as well as the INRIA/LEAR group are expected. Start date: the 1st of February 2015. Location: The position will be located at the Computer Vision group at the University of Caen. Contacts: Prof. Frederic Jurie (frederic.jurie(a)unicaen.fr) Profile: * Recent Master (preferably in Computer Science, computer vision, machine learning or Applied Mathematics) * Solid programming skills; the project involves programming in Matlab and C++ * Solid mathematics knowledge (especially linear algebra and statistics) * Creative and highly motivated * Fluent in English, both written and spoken Prior knowledge in the areas of computer vision (in particular face recognition or visual attributes), machine learning or data mining is a plus Please send applications via email, including: * a complete CV including a list of publications * graduation marks as well as rank * the name and email address of three references Applications should be sent to Frederic Jurie (frederic.jurie(a)unicaen.fr) Applicants can be asked to do a short assignment in order to demonstrate their research abilities.   References ---------- [1] Neeraj Kumar, Alexander C. Berg, Peter N. Belhumeur, and Shree K. Nayar. Describable visual attributes for face verification and image search. IEEE PAMI, 33(10):1962–1977, 2011.   [2] Amir Sadovnik, Andrew Gallagher, and Tsuhan Chen. It’s not polite to point: Describing people with uncertain attributes. IEEE CVPR, 2013.   [3] Fengyi Song, Xiaoyang Tan, and Songcan Chen. Exploiting relationship between attributes for improved face verification. Computer Vision and Image Understanding, 122:143–154, 2014.   [4] Ziheng Wang, Yongqiang Li, Shangfei Wang, and Qiang Ji. Capturing global semantic relation-ships for facial action unit recognition. ICCV, 2013.   [5] Lingyun Wen and G. D. Guo. Dual attributes for face verification robust to facial cosmetics. Journal of Computer Vision and Image Processing, 3(1):63–73, 2013.   [6] Michael J. Wilber, Ethan Rudd, Brian Heflin, Yui-Man . M. Lui, and Terrance E. Boult. Exemplar codes for facial attributes and tattoo recognition. In Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on, 2014.  

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4 year post-doc position in UCL, London
by Chait, Maria Nov. 17, 2014

Nov. 17, 2014

A 4 year post-doctoral research associate position is available to work on a European Council-funded project that will use psychophysics, eye tracking and EEG to investigate auditory attention. We aim to understand the brain mechanisms involved in selective attention, and create a brain-machine interface able to identify listeners attentional focus in real time. This research program is part of an international project ("Cognitively controlled Hearing Aid") which includes partners in ENS, France (Shihab Shamma, Alain de Cheveigne, Daniel Pressnitzer), DTU, Denmark (Torsten Dau), UZH, Switzerland (Shih-Chii Liu) and Oticon (Thomas Lunner) . You will be supervised by Dr Maria Chait and based at the UCL Ear Institute (http://www.ucl.ac.uk/ear/research/chaitlab) Salary (inclusive of London allowance) £33,353 - £37,152 per annum Applicants should hold a PhD degree (or equivalent) in an engineering or Neuroscience-related subject and have substantial experience in digital signal processing and computer programming. Previous experience with auditory research and/or functional brain imaging is desirable. For an informal discussion please contact Dr. Maria Chait (m.chait(a)ucl.ac.uk<mailto:m.chait@ucl.ac.uk>). Application should be made via the UCL website: http://www.ucl.ac.uk/hr/jobs/ (Ref:1443980). Application deadline: 07 Dec 2014. Start date: Early 2015. The UCL Ear Institute provides state-of-the-art research facilities across a wide range of disciplines and is one of the foremost centres for hearing, speech and language-related research within Europe. Maria Chait PhD m.chait(a)ucl.ac.uk<mailto:m.chait@ucl.ac.uk> Reader in Auditory Cognitive Neuroscience Lab site: http://www.ucl.ac.uk/ear/research/chaitlab/ UCL Ear Institute 332 Gray's Inn Road London WC1X 8EE

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4 year postdoctoral position at the University of Manchester, Faculty of Life Sciences
by Mark Humphries Nov. 17, 2014

Nov. 17, 2014

Dear comp-neuro (with apologies for cross-posting), We seek a skilled and enthusiastic individual to develop cutting-edge analysis and data-mining techniques for multi-neuron recording data, and apply those techniques to the analysis of extensive data-sets. The successful candidate will join a newly established team that tackles the challenging problems of how to make sense of the deluge of circuit-wide neural activity data, from cortical cell assemblies to invertebrate central pattern generators (http://www.systemsneurophysiologylab.ls.manchester.ac.uk/) The ideal candidate will hold a PhD in a related discipline (e.g. computational neuroscience, computer science, statistics, physics, engineering), have good programming skills, and experience in either neurophysiological data or computational modelling of neural circuits. The position is available from January 2015 for up to 48 months. For more details and to apply please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=8837 Application deadline: 11th December 2014 For all informal inquiries: mark.humphries(a)manchester.ac.uk Dr Mark Humphries MRC Senior non-Clinical Research Fellow AV Hill Building Faculty of Life Sciences University of Manchester http://www.systemsneurophysiologylab.ls.manchester.ac.uk/

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Postdoc at CU Boulder, Computational Cognitive Neuroscience of Bidirectional Vision
by Randall O'Reilly Nov. 17, 2014

Nov. 17, 2014

Postdoctoral Position Computational Cognitive Neuroscience Lab, University of Colorado Boulder Postdoctoral research position available in the CCN lab at the Department of Psychology & Neuroscience, University of Colorado Boulder (Randall O’Reilly, director), to work on an ONR-funded grant focusing on top-down influences on visual object recognition. This position will focus on developing bidirectional vision models based on the structure and function of the relevant visual areas, including V3, LIP, and FEF interacting with the ventral object recognition pathways in V4 and IT. This is a collaborative project with Tim Curran at CU Boulder (human EEG studies), David Sheinberg at Brown (primate electrophysiology), and Tor Wager (CU Boulder, fMRI) — there is an opportunity to conduct tests of the computational models with these collaborators. Primary qualifications include a PhD in a relevant field, and extensive prior computational modeling experience, preferably in relevant visual domains. The position is available immediately, but the start date is flexible. The University of Colorado is an Equal Opportunity Employer committed to building a diverse workforce. We encourage applications from women, racial and ethnic minorities, individuals with disabilities and veterans. Alternative formats of this ad can be provided upon request for individuals with disabilities by contacting the ADA Coordinator at hr-ada(a)colorado.edu. The University of Colorado Boulder conducts background checks on all final applicants being considered for employment. For further information about the lab, see http://grey.colorado.edu/CompCogNeuro/index.php/CCNLab, and our recent publications in this area: http://grey.colorado.edu/CompCogNeuro/index.php/CCNLab/publications. Feel free to contact randy.oreilly(a)colorado.edu for inquiries. Applicants must submit a CV, a statement of research experience/interests, and a cover letter including email addresses for at least three referees, and one recommendation letters. The other referees will be contacted for letters if needed. Applications will be accepted electronically at https://www.jobsatcu.com/postings/86996 . The job posting # is RF01716 - Randy ---- Dr. Randall C. O'Reilly Professor, Department of Psychology and Neuroscience University of Colorado Boulder 345 UCB, Boulder, CO 80309-0345 303-492-0054 Fax: 303-492-2967 http://psych.colorado.edu/~oreilly

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli Nov. 16, 2014

Nov. 16, 2014

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. ** Center for Neural Science (CNS) (deadline: 1 December) [http://www.cns.nyu.edu/doctoral/] [Graduate studies in Neuroscience across NYU: http://www.neuroscience.nyu.edu/] * Andre A. Fenton - Molecular, neural, behavioral, and computationalaspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Nava Rubin - Visual perception and the neural basis of vision. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. ** Neuroscience and Physiology program, School of Medicine (deadline: 1 December) [http://neuroscience.med.nyu.edu/training-programs/graduate-program-neurosci…] [Graduate studies in Neuroscience across NYU: http://www.neuroscience.nyu.edu/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. ** Psychology, Cognition & Perception program (deadline: 12 December) [http://www.psych.nyu.edu/programs/cp/] * Nathaniel Daw (also in CNS) - Models of decision-making and neuromodulation. * Todd Gureckis - Memory, learning, and decision processes. * David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Gary Marcus - Origins of the human mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. ** Mathematics (deadline: 18 December ) [http://math.nyu.edu/degree/phd/] * David Cai - Nonlinear stochastic behavior in physical and biological systems. * David McLaughlin - Nonlinear wave equations, computational visual neuroscience. * Aaditya Rangan - computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Michael Shelley - Modeling and large-scale computation, computational visual neuroscience. * Daniel Tranchina - Information processing in the retina. ** Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/web/Research/Areas/graphicsvisionui.html] * Davi Geiger - Computational vision and learning. * Yann LeCun - machine learning, hierarchical visual processing, robotics. ** Electrical and Computer Engineering, Poly campus, Brooklyn (deadline: 15 December) [http://www.poly.edu/academics/programs/electrical-engineering-phd] * Jonathan Viventi - Brain-computer interfaces and brain recording technologies. ** Economics (deadline: 18 December) [http://econ.as.nyu.edu/page/phd] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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[Call for workshops] IJCNN 2015, Killarney, Irelan, 12-17 july 2015
by Pierre-Yves Oudeyer Nov. 15, 2014

Nov. 15, 2014

Call for Workshops, IJCNN 2015 Deadline: December 15th, 2014 Location: Killarney, Ireland Date of events: 12-17 july 2015 Web: http://www.ijcnn.org/call-for-workshops Post-conference workshops at IJCNN offer a unique opportunity for in-depth discussions of specific topics in neural networks and computational intelligence. The workshops should be moderated by scientists or professionals who has significant expertise and /or whose recent work has had a significant impact within their field. IJCNN 2015 will emphasize emerging and growing areas of computational intelligence. Each workshop has a duration of 3 or 6 hours. The format of each workshop will be up to the moderator, and can include interactive presentations as well as panel discussions among participants. These interactions should highlight exciting new developments and current research trends to facilitate a discussion of ideas that will drive the field forward in the coming years. Workshop organizers can prepare various materials including handouts or electronic resources that can be made available for distribution before or after the meeting. Researchers interested in organizing workshops are invited to submit a formal proposal. A form for submitting proposals is provided on the web-page http://www.ijcnn.org/call-for-workshops Any questions regarding this proposal can be asked to the Workshop Chair: Pierre-Yves Oudeyer, INRIA, France. email: pierre-yves.oudeyer(a)inria.fr Pierre-Yves Oudeyer Inria, France http://www.pyoudeyer.com

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