- Comp-neuro - lists.cnsorg.org

2nd Monash Brain Function Workshop --- Multi-modal approaches to understand brain functions
by Naotsugu Tsuchiya Sept. 15, 2015

Sept. 15, 2015

2nd Monash Brain Function Workshop --- Multi-modal approaches to understand brain functions Date: Dec 14 (Mon) 2015, 8:50 to 17:00 Venue: Monash Biomedical Imaging facility Overview The goal of this workshop is to offer an opportunity for neuroscientists from different backgrounds to interact and exchange ideas. Specifically, we encourage participation of neuroscientists who are interested in understanding neural systems involved in perception and behaviour, and those who combine multiple methodologies, such as electrophysiology, advanced signal processing, computational modelling and cognitive neuroscience. Note that from Tuesday (Dec 15) the SCiNDU workshop will take place in Brisbane; the Monday workshop will end in time to catch flights from Melbourne to Brisbane. Registration: $50 AUD ($25 AUD for students & postdocs or those who are affiliated with ARC Centre of Excellence for Integrative Brain Function) - Deadline for poster abstracts and early registration: To be announced - Registration - [to be opened soon!] Organizers: Nao Tsuchiya, Nic Price, Alex Fornito, Jeroen van Boxtel, Gary Egan (Monash University) Contact: for questions about this event, please contact Nao Tsuchiya ( naotsugu.tsuchiya(a)monash.edu) Keynote Speakers: Peter Dayan (computational neuroscience, - UCL, UK) Zhaoping Li (computational neuroscience, psychophysics - UCL, UK) Speakers: 1. Lucy Palmer (Florey Institute, Neurophysiology) 2. Andrew Zalesky (University of Melbourne, Neuroimaging/Connectome) 3. Masafumi Oizumi (RIKEN BSI, Japan & Monash University, Computational Neuroscience) 4. Peter Bossarts (University of Melbourne, Neuroeconomics) 5. Pascal Molenberghs (Monash University, Social Neuroscience) 6. Jennifer Windt (Monash University, Philosophy/Cognitive Neuroscience) or 7. Maureen Hagan (Monash University, physiology, Neurophysiology) Supported by Australian Research Council Centre of Excellence for Integrative Brain Function. -- ------------------------------------------------------------------------- Nao (Naotsugu) Tsuchiya, Ph.D. 1. Associate Professor - School of Psychological Sciences, Faculty of Biomedical and Psychological Sciences, Monash University - Monash Institute of Cognitive and Clinical Neurosciences, Monash University 2. ARC Future Fellow homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage

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SFN 2015 Meeting Workshop: Parallel computing resource
by Ted Carnevale Sept. 14, 2015

Sept. 14, 2015

Find out how to use the Neuroscience Gateway Portal (NSG, http://www.nsgportal.org/) to gain free and easy access to parallel computers for your modeling and data analysis projects. NSG, an NSF-supported resource, already has GENESIS, MOOSE, NEST, NEURON, PyNN, and the Freesurfer software suite already installed and ready for use. The workshop will be held from 9 AM to noon on Saturday, October 17, at a location in downtown Chicago that will be announced to workshop registrants. It will include a hands-on exercise that shows how easy it is to use NSG in your own research. The course agenda is available from http://www.nsgportal.org/workshop.html For more information or to sign up, see http://www.neuron.yale.edu/neuron/static/courses/nsg2015/nsg2015.html or contact Ted Carnevale [ted dot carnevale at yale dot edu] or Amit Majumdar [majumdar at sdsc dot edu]

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PhD candidate on the development of novel machine learning methods for genetics.
by Bahram YoosefiZonooz Sept. 14, 2015

Sept. 14, 2015

Dear All, I would like to bring to your attention an opening for a Ph.D. candidate position in Machine Learning group led by Prof. dr. H.J. (Bert) Kappen at the Donders institute of the Radboud University in Nijmegen, the Netherlands. For more details: see below, and http://www.ru.nl/donders/jobs/vm/phd-position/ http://www.snn.ru.nl/v2/ SNN Machine Learning group at the Donders institute of the Radboud University, is looking for a PhD candidate for the project titled 'GenoMiX: Utilizing crossbred information to accelerate genetic progress'. The project is implemented jointly with the The Animal Breeding and Genomics Centre of Wageningen UR, and is part of the STW Breed4Food partnership program (www.wageningenur.nl/vacancies-breed4food <http://www.wageningenur.nl/vacancies-breed4food>). The SNN Machine learning group of Prof. Kappen, where the PhD candidate will be hosted, focuses on algorithmic developments in machine learning and Bayesian statistics. See www.snn.ru.nl and *www.snn.ru.nl/~bertk <http://www.snn.ru.nl/~bertk>*. The project is co-supervised by Dr. Kees Albers of the Dept. of Human Genetics, RadboudUMC and Dept. of Molecular Development Biology, also at the Radboud University. The research group of Dr. Kees Albers combines Bayesian statistical modelling with experimental cellular models to identify disease-causing mutations from DNA sequencing data and functional genomics data. *Requirements* Candidates are expected to cooperate in a multidisciplinary team and should be keen on mobility, between the research groups and Breed4Food partners. Good communication skills and fluency in English is expected from all candidates. *Conditions of employment* We offer challenging position in an inspiring multidisciplinary and international environment. You will be part of a research team involving multiple universities. You are expected to spend time at different locations to ensure that you benefit from the partners involved in your project. You will actively engage in meetings organised by the Breed4Food consortium. The proposed start is in the autumn of 2015. As a PhD candidate, you will be offered a fulltime position for 4 years, after which you should have completed your PhD thesis and individual training plan. The salary for a PhD candidate starts at € 2.125,- gross per month in the first year and extends to a maximum of € 2.717,- gross per month in the fourth year (in accordance with the Collective Labour Agreement for Dutch Universities). *Contract type*: Temporary, Onbekend Additional information about the vacancy can be obtained from: Prof. Dr Bert Kappen (+31 24 36414241, b.kappen(a)science.ru.nl) or Dr Kees Albers (+31 24 36 67325;kees.albers(a)radboudumc.nl)

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NEURON course at SFN 2015 meeting
by Ted Carnevale Sept. 14, 2015

Sept. 14, 2015

A few seats remain available for the NEURON course at this year's meeting of the Society for Neuroscience, but you'll have to act quickly because the registration deadline is Friday, Oct. 2. If you're a lab director trying to decide whether to add computational modeling to your research program, a grad student or postdoc who is just getting started in modeling, or an established NEURON user who wants to find out what the latest advances are, this one-day course is for you! It starts with a practical introduction that reviews basic concepts and presents a workflow for building and using models of cells and networks, and moves on to topics that include how to speed up simulations, using Python with NEURON, and modeling reactive diffusion with the RxD class. For more information and the registration form, see http://www.neuron.yale.edu/neuron/static/courses/chi2015/chi2015.html --Ted

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Re: [Comp-neuro] CFP: German - Japanese Workshop on Adaptive BCIs@Kyoto 2015, 28-29 Oct.
by Shigeyuki Oba Sept. 14, 2015

Sept. 14, 2015

German - Japanese Workshop on Adaptive BCIs@Kyoto 2015, 28-29 Oct. See http://ishiilab.jp/bci/ for detail. Dear colleagues, Upon several requests, we extended the due date for poster presentation for the upcoming Workshop on Adaptive Brain Computer Interfaces. Important dates: Submittion of poster abstract: 1st October, 2015. (EXTENDED) Registration for participants: 1st October, 2015. Workshop: 28th--29th October, 2015. Contact information: Web: http://ishiilab.jp/bci/ E-mail: adaptive-bci-2015[at]googlegroups.com Best Wishes, Klaus-Robert Müller and Shigeyuki Oba ----- Dear Colleagues, We are pleased to announce the upcoming Workshop on Adaptive BCIs. Since the advent of the technology, Brain-Computer Interfacing (BCI) aims to reliably translate recorded brain signals, e.g., EEG, into control commands for a computer. Although there have been great improvements over the last decades, current BCIs are still scarcely used outside laboratories. One major limitation preventing the prevalence of this promising technology into everyday life of, e.g., patients, is the lack of robustness and reliability. Adaptive BCIs compensate for changes encountered in real-world environments and are robust against nonstationarity (i) induced by external causes such as a change in the experimental environment or artifactual noise sources and (ii) internal causes, namely fluctuations of brain states e.g. slow ones due to fatigue or brisk ones caused by distraction of the subject. Co-adaptivity is an important ingredient of such systems, since in a ever-changing environment, it is not only the machine that needs to adapt to changes in signal statistics, it is also the user who has to adapt his strategies in order to cope with fluctuations in background noise and sensory input. This workshop presents recent developments in the field and aims at providing tools for neuroscientists and practitioners that enable them to go beyond restricted laboratory paradigms and study the brain while the subject is interacting with his/her natural environment. The workshop consists of 13 invited talks and a poster session. The poster session will allow participants to interact and present their own ideas and findings on from theoretical to practical aspects of BCI studies. Confirmed speakers: A. Cichocki (Riken, Japan) S. Fazli (Korea University, Korea) M. Kawanabe (ATR, Japan) P-J. Kindermans (TU Berlin, Germany) K-R. Müller (TU Berlin, Germany) S. Nishimoto (Osaka University, Japan) W. Samek (Fraunhofer HHI, Germany) M. Sugiyama (Univ. of Tokyo, Japan) J. Hirayama (ATR, Japan) R. Fukuma (Osaka University, Japan) J. Fujiki (Fukuoka University, Japan) S. Oba (Kyoto University, Japan) M. Cuturi (Kyoto University, Japan) We are also calling for poster presentations. The title and abstract will be published via Frontiers publishing system. Participation fee is not required. Important dates: Submittion of poster abstract: 1st October, 2015. Registration for participants: 1st October, 2015. Workshop: 28th--29th October, 2015. 2015-09-01 12:47 GMT+09:00 Shigeyuki Oba <oba(a)i.kyoto-u.ac.jp>: > German - Japanese Workshop on Adaptive BCIs@Kyoto 2015, 28-29 Oct. > See http://ishiilab.jp/bci/ for detail. > > > Dear Colleagues, > > We are pleased to announce the upcoming Workshop on Adaptive BCIs. > > > Since the advent of the technology, Brain-Computer Interfacing (BCI) > aims to reliably translate recorded brain signals, e.g., EEG, into > control commands for a computer. Although there have been great > improvements over the last decades, current BCIs are still scarcely > used outside laboratories. One major limitation preventing the > prevalence of this promising technology into everyday life of, e.g., > patients, is the lack of robustness and reliability. > Adaptive BCIs compensate for changes encountered in real-world > environments and are robust against nonstationarity (i) induced by > external causes such as a change in the experimental environment or > artifactual noise sources and (ii) internal causes, namely > fluctuations of brain states e.g. slow ones due to fatigue or brisk > ones caused by distraction of the subject. Co-adaptivity is an > important ingredient of such systems, since in a ever-changing > environment, it is not only the machine that needs to adapt to changes > in signal statistics, it is also the user who has to adapt his > strategies in order to cope with fluctuations in background noise and > sensory input. > This workshop presents recent developments in the field and aims at > providing tools for neuroscientists and practitioners that enable them > to go beyond restricted laboratory paradigms and study the brain while > the subject is interacting with his/her natural environment. > The workshop consists of 13 invited talks and a poster session. The > poster session will allow participants to interact and present their > own ideas and findings on from theoretical to practical aspects of BCI > studies. > > > Confirmed speakers: > A. Cichocki (Riken, Japan) > S. Fazli (Korea University, Korea) > M. Kawanabe (ATR, Japan) > P-J. Kindermans (TU Berlin, Germany) > K-R. Müller (TU Berlin, Germany) > S. Nishimoto (Osaka University, Japan) > W. Samek (Fraunhofer HHI, Germany) > M. Sugiyama (Univ. of Tokyo, Japan) > J. Hirayama (ATR, Japan) > R. Fukuma (Osaka University, Japan) > J. Fujiki (Fukuoka University, Japan) > S. Oba (Kyoto University, Japan) > M. Cuturi (Kyoto University, Japan) > > > We are also calling for poster presentations. The title and abstract > will be published via Frontiers publishing system. > > Participation fee is not required. > > Important dates: > Submittion of poster abstract: 15th September, 2015. > Registration for participants: 1st October, 2015. > > Contact information: > Web: http://ishiilab.jp/bci/ > E-mail: adaptive-bci-2015[at]googlegroups.com > Best Wishes, > > Klaus-Robert Müller and Shigeyuki Oba > > > -- > ----- > Shigeyuki Oba > Graduate School of Informatics, Kyoto University > oba(a)i.kyoto-u.ac.jp > http://ishiilab.jp/member/oba -- ----- Shigeyuki Oba Graduate School of Informatics, Kyoto University oba(a)i.kyoto-u.ac.jp http://ishiilab.jp/member/oba

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Open Postdoc Position in Computational Neuroscience/ Data Analytics
by Prof Sonja Gruen Sept. 14, 2015

Sept. 14, 2015

The Statistical Neuroscience lab of Prof. Sonja Grün at the Institute of Neuroscience and Medicine, Computational and Systems Neuroscience (INM-6) and the Institute for Advanced Simulation (IAS-6), Research Centre Juelich, invites applications for a postdoctoral positions for research in computational neuroscience / data analytics. The lab works on concepts to understand network processing in the cortex based on models and experimental functional data. The approaches range from development of statistical methods, analysis of electrophysiological data, integration of data into network models, and the development of neuroinformatics tools. The group interacts intensely with other groups in the INM and the Supercomputing Center, but is also pursuing intense collaborations with external, experimental groups that record functional data in relation to complex behavior. The group contributes its expertise in advanced data analysis and neuroinformatics to the European Human Brain Project (HBP). For more details and online application see <http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2015-194-EN…>http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2015-194-EN…, Reference number: 2015-194 -- Prof. Dr. Sonja Gruen Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Juelich Research Centre and JARA Juelich, Germany and Theoretical Systems Neurobiology RWTH Aachen University Aachen, Germany tel. +49-(0)2461-61-4748 (secr), -9302, -9460 (fax) mob. +49-(0)175-2972436 s.gruen(a)fz-juelich.de<mailto:s.gruen@fz-juelich.de> www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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1st CfP: ACHI 2016 || April 24 - 28, 2016 - Venice, Italy
by Cristina Pascual Sept. 11, 2015

Sept. 11, 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: - ACHI 2016, The Ninth International Conference on Advances in Computer-Human Interactions The submission deadline is December 8, 2015. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== ACHI 2016 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS ACHI 2016, The Ninth International Conference on Advances in Computer-Human Interactions General page: http://www.iaria.org/conferences2016/ACHI16.html Submission page: http://www.iaria.org/conferences2016/SubmitACHI16.html Event schedule: April 24 - 28, 2016 - Venice, 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: December 8, 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 ACHI 2016 Topics (for topics and submission details: see CfP on the site) Call for Papers: http://www.iaria.org/conferences2016/CfPACHI16.html ============================================================ INTER: Interfaces Graphical user interfaces; Intelligent user interfaces; Adaptive user interfaces; Multi-modal user interfaces; Context-based interfaces; Virtual reality and 3D interfaces; Speech and natural language interfaces; Interfaces for collaborative systems; Interfaces for restricted environments; Internationalization and reflections of culture on interface design; Interfaces for disadvantaged users; Interface specification and design; Interface prototyping; Interface testing; Interface evaluation; Interface generators and other tools for developing interfaces; Data visualization; Visualization techniques; Interactive visualization OUI: Organic user interfaces Interface-oriented materials and devices; Physical and digital representation; Sensing and display technologies; Rollable and foldable displays with tactile properties; Skin-based input; Analog input interaction design; Flexible display technologies; Functional-based display forms; Flexible-computing and curve computer interactions; 3D continuous display interfaces HAPTIC: Haptic interfaces Fundamental of haptic interactions; Tangible user interfaces; Bidirectional information flow ; Haptography; Haptic feedback and control; Bodyware (embedded sensors; flexible structures, associative memories, actuation and power systems); Magnetic levitation haptic interfaces; Kinetic motion-based interaction; Kinetic motion and haptic design; Mindware (learning, adaptation, head-hand coordination, bimanual coordination; discovering affordance, interaction and imitation); Language of motion / Gesture annotation; Interfaces with kinetic properties; Sensor actuator design, development and evaluation; Linear haptic display; Fingertip haptic display; Pen based force display; High bandwidth force display; Quality of experience model for haptic interactions; Haptics rendering; SYSTEMS: Interactive systems Highly interactive systems; Intelligent agents and systems; Adaptive systems; Context-aware systems; Multi-user multi-interface systems; Collaborative systems; Computer-supported cooperative work; Distributed information spaces; Communicators and advisory systems; Interaction through wireless communication networks DEVICES: Interaction devices General input and output devices; Virtual reality input and output devices; Interaction devices for immersive environments; Shareable devices and services; Mobile devices and services; Pervasive devices and services; Small displays; Very large displays; Tangible user interfaces; Wearable computing; Interaction devices for disadvantaged users; Interaction devices for computer games DESIGN & EVAL: Interaction & interface design & evaluation Interface metaphors; Interaction styles; Interaction paradigms; Requirements specification methods and tools; Analysis methods and tools; Design methods and tools; Evaluation paradigms; Evaluation methods and tools; Evaluation frameworks; Scenarios; Task analysis; Conceptual design; Physical design; Information architecture; Information design for websites; Guidelines and heuristics; Experience design; Environmental design; Ethnography; Contextual design; Service design; MODELS: Principles, theories, and models Cognitive models; Conceptual models; Mental models; Frameworks for cognition; Model-based design of interactive systems; Formal methods in human-computer interaction USER: User modeling and user focus Usability and user experience goals; User testing; User modeling; User profiling; Predictive models (e.g., for user delay prediction); Human perceptible thresholds; User support systems; Psychological foundations for designing interactive system; Human information processing; Digital human modeling; Engineering psychology; Ergonomics; Hearing and haptics; Affective computing PARADIGMS: Traditional and emerging paradigms Interaction paradigms; Mobile computing; Wearable computing; Location-aware computing; Context-aware computing; Ubiquitous computing; Pervasive computing; Transparent computing; Attentive environments; Virtual reality; Augmented reality and tangible bits; Immersive environments; Human-based computation; Visual languages and environments; End-user programming; Hypermedia advances and applications; New visions of human-computer interaction ACCESS: Usability and universal accessibility Interaction and interface design for people with disabilities; Interaction and interface design for the young and the elderly; Universal access and usability; Usability engineering; Usability testing and evaluation; Usability and internationalization HUM-ROBOTS: Human-robot interaction Fundamentals of human-robot cooperation; Cognitive models of human-robot interaction; Adaptable autonomy and knowledge exchange; Autonomy and trust; Awareness and monitoring of humans; Task allocation and coordination; Human guided robot learning; User evaluations of robot performance; Metrics for human-robot interaction; Long-term interaction robotics; Health and personal care robotics; Social Robotics; Multi-modal human-robot communication; Robot intermediaries; Experiments and applications HUM- AGENTS: Agents and human interaction Principles of agent-to-human interaction; Models for human-agent interaction; Social persuasion in human-agent interaction; Designing for human-agent interaction; Socially intelligent agents and the human in the loop; Agents for human-human interaction; Agent-based human-computer-interaction; Human cooperation and agent-based interaction; Human interaction with autonomous agents Agent-based human-robot interaction; Human and artificial agents emotional interaction SOCIAL: Social aspects of human-computer interaction Societal implications of human-computer interactions; Social computing and software Online communities Weblogs and other community building tools Online support for discovery and creativity; Tool support for discovery and innovation Expressive and attentive interfaces and environments Affective aspects of human-computer interaction Emotional design GAMES: Computer games and gaming Computer game technology; Computer game engineering; Foundations of computer game design and development; Development processes and supporting tools; Management aspects of computer game development; Architectures and frameworks for computer games; Game-based training and simulation; Serious games; Multi-user games; Online games; Online gaming; Game theories; Audio, video and text in digital games; New computer games and case studies; Performance improvements in computer games; Social impact of games and gaming EDUCATION: Human-computer interaction in education and training Interactive systems for education and training; Online and communications support for education and training; Interfaces, interactions and systems for distance education; Software tools for courseware development and delivery; Collaborative systems for teaching, studying and learning; Handheld mobile devices for education and training; Advisory and recommendation systems Techniques and tools for information localization, retrieval & storage; Web annotation systems; Case studies and applications MED APPS: Applications in medicine Interactive systems for medical applications; Interactive systems for telemedicine; Interactive systems for telehealth; Interactive systems for telepathology; Interactive systems for telecardiology; Interactive systems for telesurgery; Interactive personal medical devices; Digital imagery and visualization frameworks; Role of colors and color imaging in medicine; Multidimensional projections with application to medicine; Data mining and image retrieval techniques for medical applications; Imaging interfaces and navigation; Internet imaging localization, retrieval and archiving; Video techniques for medical images; Internet support for remote medicine; Computer-controlled communications for medical applications; Medical informatics; Software and devices for patient monitoring; Interactive software for therapy and recovery TELECONF: Teleconferencing Fundamentals for teleconferencing; Platforms for teleconferencing; Devices for teleconferencing; Videoconferencing, Web Conferencing; Performance in teleconference applications; Real-time aspects in teleconferencing; Privacy and security in teleconference applications; QoS/SLA for teleconferencing applications; Teleconferencing services; Business models for teleconferencing APPLICATIONS: Other domain applications Interactive interfaces and systems for scientific applications; Interactive interfaces and systems for engineering applications; Interactive interfaces and systems for business applications; Interactive interfaces and systems for activities in arts & humanities; Interactive interfaces and systems for scientific research; Other applications of interactive interfaces and systems ------------------------ ACHI 2016 Committee: http://www.iaria.org/conferences2016/ComACHI16.html =================

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Phd Student Neuroinformatics
by Sharon Crook Sept. 10, 2015

Sept. 10, 2015

A PhD Research Assistantship is available in the Laboratory for Computational Neuroscience and Neuroinformatics with Dr. Sharon Crook and Dr. Rick Gerkin at Arizona State University. We seek a student interested in research on reproducible computational neuroscience. Through the Arizona State University Interdisciplinary PhD in Neuroscience (https://neuroscience.asu.edu) this student will help develop tools to encode, exchange and validate neuron and circuit models against experimental data in collaboration with an international team of researchers working in this area. Experience with Python programming and version control systems is desired. Contact Dr. Sharon Crook at sharon.crook(a)asu.edu for more information about how to apply. Sharon Crook Associate Professor of Mathematics, Statistics and Life Sciences Arizona State University Vice President, Organization for Computational Neuroscience http://neuroml.org

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Research Associate in Computational Neuroimaging and Data Analytics
by Wong-Lin, Kongfatt Sept. 10, 2015

Sept. 10, 2015

Applications are invited for the following post: Research Associate at the University of Ulster A major aim of this one-year research project is to make use of a combination of computational neuroimaging, data analytics and cloud/high-performance computing to analyse heterogeneous data, extract patterns and predict dementia. The types of data include brain imaging, biological, medical and lifestyle datasets. This timely, exciting and high-impact project is available in Ulster University's Computer Science Research Institute and is tenable in the Faculty of Computing and Engineering at the Magee campus. The project is in collaboration with Queen's University Belfast, the Clinical Translational Research and Innovation Centre (C-TRIC), and two computing/tech companies. The successful applicant will utilize knowledge in computational neuroscience/neuroimaging, data analytics, mathematical/statistical modelling and cloud/high-performance computing in the research. The postholder will join a growing multidisciplinary research team, embedded within a wider health analytics network, and will benefit from the expertise of Ulster's computational neuroscience/neuroimaging and intelligence and data analytics. Our Ulster's Intelligent Systems Research Centre has recently upgraded its computing facilities to enable state-of-the-art data analytics research. The postholder will be trained with a unique and highly sought set of skills that combine brain imaging analysis with data analytics. S/he will have the opportunity to interact with other biomedical/translational/clinical researchers in the team, and learn about advanced software development, knowledge transfer and entrepreneurship. In particular, the postholder will interact regularly with the Northern Ireland Integrated Health Analytics Centre. All applicants should hold or about to obtain a Ph.D. degree in Computing, Engineering, Computational Neuroscience, Computational Sciences, Neuroscience, Statistics, Mathematics, Physics, or a related discipline. Applicants must be highly motivated and willing to pursue research and develop skills and knowledge across disciplines. The application process for the post is opened with a closing date for applications on the 30th September 2015, and interviews will be held shortly after. The successful applicant is expected to start sometime in October 2015. Further details can be found at: http://www.jobs.ac.uk/job/ALX095/research-associate-in-health-analytics/ We prefer to issue and receive applications via our on-line recruitment website at www.ulster.ac.uk/jobs If you wish to discuss further regarding this post or the research project, please contact: Dr. KongFatt Wong-Lin, tel: +44 028 7167 5320, e-mail: k.wong-lin(a)ulster.ac.uk ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Postdoctoral position in analyzing and modeling dendritic morphology and growth
by Erik De Schutter Sept. 10, 2015

Sept. 10, 2015

A postdoctoral researcher or staff scientist position 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 <http://www.oist.jp/>, Japan. We are looking for a postdoc with a (computational) neuroscience background to study the morphology and growth of neuronal dendrites in the olivocerebellar system. We investigate this from the perspective of neuron populations and consider the relations between neighboring dendrites explicitly (Context-aware modeling of neuronal morphologies <http://journal.frontiersin.org/article/10.3389/fnana.2014.00092/abstract>). Depending on experience and interest the focus of the research can be analysis of in vivo and EM data and/or modeling the growth of forests of dendrites. You will collaborate with scientists at OIST and abroad in addition to the daily interaction with other researchers and students in the lab who are working on cerebellar modeling projects, analyzing cerebellar recordings or developing software. We offer attractive financial and working conditions in an English language graduate university that emphasizes interdisciplinary research, located on the beautiful subtropical island of Okinawa. Send curriculum vitae, a summary of research interests and experience, and the names of three referees to Prof. Erik De Schutter at erik(a)oist.jp Prof. Erik De Schutter Computational Neuroscience Unit Okinawa Institute of Science and Technology 1919-1 Tancha, Onna-Son Okinawa 904-0495 JAPAN phone: +81-98-966-8727 fax: +81-98-966-8718 erik(a)oist.jp http://groups.oist.jp/cnu

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Postdoctoral Scholar Position in the Neuromorphic Machine Intelligence Lab, UC Irvine
by Emre Neftci Sept. 10, 2015

Sept. 10, 2015

A Postdoctoral Scholar position is available, contingent upon funding, in the field of Neuromorphic Engineering and Machine Learning within the Department of Cognitive Sciences at the University of California, Irvine. The research involves developing spiking neural network models of neural sampling and on-line learning for digital neuromorphic hardware. The applicant will work closely with neuromorphic engineers and computational neuroscientists. The applicant will be involved in various aspects of research involving neural modeling, machine learning, data analysis, and manuscript preparation. Requirements - The candidate must have a Ph.D. in Cognitive Sciences, Physics, Neuroscience, Computer Science, or Engineering and expertise in computational neuroscience and/or machine learning with strong programming skills. The candidate should have a working knowledge of spiking neural networks, synaptic plasticity and other neurobiological learning rules. Knowledge with the C/C++ and the CUDA programming environment on Linux and Windows systems is desirable and experience in deep learning is a plus. This position is full-time and includes benefits. Salary is commensurate with experience. Application Procedure - Please submit a letter of interest, CV, and the names of two-three references at: https://recruit.ap.uci.edu/apply/JPF03105 The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. Learn More: More information about this recruitment: http://www.cogsci.uci.edu/employment.php Requirements: - Documents: - Cover Letter (Optional) - Curriculum Vitae - Your most recently updated C.V. - References: - 2-5 references required (contact information only) -- Emre Neftci, PhD (ETH Zurich), Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

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Faculty Positions in Theory and the Biological Sciences at the Graduate Center
by Asohan Amarasingham Sept. 9, 2015

Sept. 9, 2015

Dear Colleagues, Please make note of the following faculty search for theorists working in biology, at the CUNY Graduate Center. Best regards, Asohan Amarasingham Biology Program and Initiative for the Theoretical Sciences The Graduate Center, City University of New York http://gc.cuny.edu/biology and http://www.gc.cuny.edu/Page-Elements/Academics-Research-Centers-Initiatives… The Graduate Center of the City University of New York has launched an Initiative for the Theoretical Sciences (ITS), with the goal of building a multidisciplinary community of faculty, postdoctoral fellows, students, and visitors, all united by their interest in the mathematical description of nature. In the current academic year, we are searching for faculty members whose research interests are focused on the phenomena of life, but whose methods and style are grounded in the traditions of theoretical physics and applied mathematics. Applications will be considered across the full range of biological topics, from the dynamics of single molecules to the behavior of animal groups; we are especially interested in candidates whose interests transcend historical boundaries among the subfields of biology. Appointments will be made through the PhD program in Biology, with affiliations to other doctoral Programs possible (e.g. Physics, Mathematics, Computer Science), as appropriate. Positions are available at all academic ranks, although it is the preference of the Graduate Center to make appointments with tenure (Associate Professor and above). Applicants are expected to demonstrate an outstanding record of independent research accomplishment and creativity, as well as an interest in mentoring and community building. In particular, faculty recruited in this search will play a crucial role in the further development of ITS, across the full range of intellectual opportunities for theory in the natural sciences. Applicants should submit CV, a research statement, and three reference letters to Prof. Laurel A. Eckhardt, Search Chair, through the City University Employment online portal (cuny.jobs), and entering the Job ID “13244” under “What.” CUNY is an equal opportunity employer and encourages applications from groups underrepresented in the scientific community.

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Postdoctoral position in Computational/Mathematical Neuroscience at the Toronto Western Research Institute/UHN
by Jeremie Lefebvre Sept. 9, 2015

Sept. 9, 2015

Dear colleagues, The recently established computational neuroscience and non-linear dynamics research group at the Toronto Western Research Institute, headed by Jérémie Lefebvre, has an opening for a postdoctoral fellowship, focusing on the behavior of driven cortical networks, neural oscillations and the dynamics of neurological disorders. More information about the lab can be found here<https://sites.google.com/site/lefebvresynclab/> and here<http://www.uhnres.utoronto.ca/researchers/profile.php?lookup=63509>. Applicants must possess, or be close to submitting, a PhD in Physics/Applied Mathematics/Engineering/Neuroscience with an academic record of scientific excellence, research expertise and demonstrating strong interest in computational neuroscience and mathematical biology. Strong skills in computer programming (C, Matlab, Python,etc), modeling and data analysis are expected. Knowledge in neuroscience, imaging, signal processing and and/or dynamical systems would be also be seen as assets. The initial appointment is for 12 months, renewable for another year, and potentially longer depending on funding. Salary is competitive, and the start date is negotiable. The lab is set in the Krembil Discovery Tower, a state-of-the-art research and clinical center built in 2013, and located next to the Toronto Western Hospital and affiliated to the University Health Network, a hub of clinical and research facilities located in the heart of Toronto, Canada. The UHN is Canada's largest research hospital and has a proud history of innovative research and important discoveries. As such, successful candidates will be immersed in a highly interdisciplinary environment that stimulates the synergy between computational, experimental and clinical approaches. Close collaboration with the University of Toronto (notably via the Department of Mathematics) further enhances the range of research/collaboration prospects. To learn more about research at UHN, please click here<http://www.uhn.ca/Research>. Applications packages, consisting of: 1. one letter of motivation, 2. a one page statement of research interests, 3. an up-to-date CV with publications and finally 4. The contact information for two letters of references (to be solicited at a later stage) should be uploaded directly on the UHN recruitment portal (see below). It is mandatory that all applications go through the UHN submission system. Deadline is October 1st, 2015. Only selected candidates will be contacted for an interview. UHN posting and application link<https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteI…> (Job Posting #762714) Regards, Jeremie Lefebvre

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Postdoctoral Position in Computational and Systems Neuroscience
by Escabi, Monty Sept. 9, 2015

Sept. 9, 2015

Dear Colleagues We have a postdoctoral postion available in computational and systems neuroscience. Details of the position can be found at http://escabilab.uconn.edu/2015/08/13/postdoctoral-position-in-computationa… and are also posted below. Please share this information with anyone who may be interested. Thanks very much! Monty _\\|//_ (' O-O ') ---------------------------ooO-(_)-Ooo-------------- Monty A. Escabi, Ph.D. Associate Professor University of Connecticut Electrical & Computer Engineering Biomedical Engineering 371 Fairfield Way, Unit 4157 Storrs, CT 06269-4157 ---------------------------------------------------------- Postdoctoral Position in Computational and Systems Neuroscience Position: The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecituct seeks applicants for a postdoctoral position in systems and computational neuroscience. We are seeking applicants that can lead a project on coding of natural sound statistics in the auditory midbrain and cortex of awake animals. The primary appointment will be in Biomedical Engineering, but the work will be conducted in collaboration with Psychology department (Statistical Neuroscience Lab, http://stevenson.lab.uconn.edu; Sensory Perception and Neuroscience Lab, http://read.lab.uconn.edu) and Electrical and Computer Engineering. Qualifications: A PhD in Neuroscience, Biomedical Engineering, Electrical Engineering, Computational Neuroscience or related field is required. The ideal candidate will have an interdisciplinary research background in computational and systems neuroscience with prior research experience in awake animal neurophysiology. A strong computational background in neural data analysis is desirable, particularly modeling complex neural systems and analyzing datasets from large-scale multi-channel neural recordings. Background in acoustic signal processing, sound recognition, and machine learning are also desirable. Appointment: The position is funded through an R01 and is available immediately. Salaries follow NIH post-doctoral scale and are based on experience. Applicants should email “escabi at engr dot uconn dot edu” a single PDF file containing: 1) a resume including past research experience and published work 2) a one page statement of prior research experience 3) a one page statement of future research interests and objectives 4) the names of at least two individuals who can provide reference letters.

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COSYNE 2016: Meeting Announcement and Call for Abstracts
by Tomas Hromadka Sept. 9, 2015

Sept. 9, 2015

==================================================== Computational and Systems Neuroscience 2016 (Cosyne) MAIN MEETING Feb 25 - Feb 28, 2016 Salt Lake City, Utah WORKSHOPS Feb 29 - Mar 01, 2016 Snowbird Ski Resort, Utah www.cosyne.org ==================================================== The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks are selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES: Abstract submission opens: 05 October 2015 Abstract submission deadline: 13 November 2015 CONFIRMED SPEAKERS: Blaise Aguera y Arcas (Google) Marisa Carrasco (NYU) Edward Chang (UCSF) Greg DeAngelis (Rochester) Mark Goldman (UC Davis) Richard Mooney (Duke) Mala Murthy (Princeton) Peggy Series (Edinburgh) Reza Shadmehr (Johns Hopkins) Paul Smolensky (Johns Hopkins) Leslie Vosshall (Rockefeller) When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE: General Chairs: Maria Geffen (U Penn) and Konrad Körding (Northwestern) Program Chairs: Megan Carey (Champalimaud) and Emilio Salinas (Wake Forest) Workshop Chairs: Claudia Clopath (Imperial College) and Alfonso Renart (Champalimaud) Publicity Chair: Xaq Pitkow (Rice) EXECUTIVE COMMITTEE: Anne Churchland (CSHL) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT cosyne.meeting [at] gmail.com

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Postdoc positions in modeling stochastic spiking neural networks in São Paulo State, Brazil
by Antonio C. Roque Sept. 9, 2015

Sept. 9, 2015

The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat, http://neuromat.numec.prp.usp.br/ ), hosted by the University of São Paulo, Brazil, and funded by FAPESP (Sao Paulo Research Foundation, http://www.fapesp.br/en/) is offering several postdoctoral fellowships for recent PhDs with outstanding research potential. The research will involve collaborations with mathematicians, computer scientists, physicists and neuroscientists associated to NeuroMat. We seek candidates capable to develop independent research in mathematical and/or computational modeling of stochastic spiking neural networks. Candidates are required to have at least one of the profiles below: - A strong background in probability theory with emphasis on stochastic processes or alternatively in statistics with emphasis on statistical model selection. Previous knowledge of rigorous statistical mechanics, random graphs or stochastic modeling in biosciences will be favorably considered. - A strong mathematical and/or computational background and experience with computers and programming. Previous experience with development and/or simulation of neural brain models, complex networks and parallel computing will be favorably considered. The initial appointment is for two years, with a possible extension to up to four years, conditional on research progress. Salary is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application instructions Applicants should complete and submit the application form at http://neuromat.numec.prp.usp.br/postdoc-form. The following documents and information are requested (please see the form for further details): - Summary of the Curriculum vitae. Please follow the FAPESP format; see www.fapesp.br/en/6351 for instructions. - List of publications, with links to those available online. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested. - A summary of your research plan for the next 2 years, up to 5 pages length. It should explicitly address its place in the framework of the NeuroMat mission and research program ( http://neuromat.numec.prp.usp.br/scientific_project) - Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. Candidates are encouraged to apply at their earliest convenience. Two independent evaluation rounds are planned: 1. On October 12, 2015. 2. On November 16, 2015. Appointments are expected to be effective within 2 to 6 months after evaluation date. Remark Approved candidates will be requested to expand their five-page research plan to a full two-year proposal. For the implementation of the fellowships, those proposals, together with all the application material received, will be submitted to FAPESP for final approval. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)ffclrp.usp.br aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 (sala/office); +55 16 3315-3859 (lab) FAX: +55 16 3315-4887

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Early Bird Registration Ends Today!!
by neuro girl Sept. 9, 2015

Sept. 9, 2015

Dear Colleagues, Just a reminder that early birds registration ends today!Registration includes breakfast, coffee breaks and lunch. Please note: registration will be limited to encourage open discussion. The Brain States: Characterization and Neuromodulation by DBS will take place on November 11-13, 2015 in Cologne, Germany. This is an interdisciplinary meeting with leading experts in academia and medicine who will present physiological, computational and clinical approaches to the brain dynamics and brain mechanics of complex functional networks in the brain. Transformations of the neurodynamic operations of the brain between the normal to the pathological state will be explored using multivariate data analysis (EEG, MEG, DBS, etc…). Special attention will be given to next-generation approaches which allow the collaboration of clinical practice and science to advance the field from principles of organization to the causal control of function. Brain States: Characterization and Neuromodulation by DBS November 11-13, 2015 Cologne, Germany http://bit.ly/1JVElkf https://dbs.veomed.net/. Confirmed Speakers:Hagai Bergman (Hebrew University of Jerusalem) Peter Brown (University of Oxford) Stephan Chabardes (University Hospital Grenoble) Alain Destexhe (CNRS) Emad N. Eskandar (Massachusetts General Hospital-Harvard Medical School) John J. Foxe (Albert Einstein College of Medicine) Marc Goodfellow (University of Exeter) Anthony A. Grace (University of Pittsburgh) Rowshanak Hashemiyoon (University Hospital of Cologne) Jens Haueisen (Technische Universität Ilmenau) Viktor Jirsa (Aix-Marseille Université /CNRS) Jens Kuhn (University Hospital Cologne) Fernando Lopes da Silva (University of Amsterdam) Andres Lozano (University of Toronto) Cameron McIntyre (Case Western Reserve University) Christoph M. Michel (University of Geneva) Urs Ribary (Simon Fraser University) Günter Schiepek (Paracelsus Medical University) Wolf Singer (Max Planck Institute for Brain Research) Dimitri van de Ville (University of Geneva) Veerle Visser-Vandewalle (University Hospital of Cologne) Jürgen Voges (Otto-von-Guericke-University Magdeburg) Looking forward to seeing you in Cologne! With kind regards, Row Hashemiyoon Rowshanak Hashemiyoon, PhD Chief, Behavioral Neurophysiology and Computational Neuroscience Klinik für Stereotaxie und Funktionelle Neurochirurgie Universitätsklinikum Köln Kerpener Str. 62 D - 50937 Köln Email: row.hashemiyoon(a)uk-koeln.de http://www.uk-koeln.de/de/stereotaxie

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SCiNDU abstract deadline Oct 16th
by Geoffrey Goodhill Sept. 9, 2015

Sept. 9, 2015

SCiNDU: SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWN UNDER qbi.uq.edu.au/scindu<http://qbi.uq.edu.au/scindu> December 15-17th, 2015, Queensland Brain Institute, The University of Queensland, Brisbane, Australia. Deadline for abstracts and early registration is Oct 16th 2015. Early bird registration fees: AU$250 (Full), AU$125 (Student). Accommodation is available if required in a residential college at the University of Queensland for AU$85/night. This conference will bring together international leaders in understanding the computational principles underlying how neural circuits decode sensory information, make decisions, and learn from experience. Abstract submissions for poster presentation are welcome. Some abstracts will be selected for short talks. Confirmed speakers include: Ehsan Arabzadeh (ANU) Mark Bear (MIT) Michael Breakspear (QIMR) Allen Cheung (QBI) Yang Dan (UC Berkeley) Peter Dayan (UCL) Geoffrey Goodhill (QBI) Zach Mainen (Champalimaud) Jason Mattingley (QBI) Linda Richards (QBI) Peter Robinson (Sydney) Marcello Rosa (Monash) Pankaj Sah (QBI) Mandyam Srinivasan (QBI) Greg Stuart (ANU) Stephen Williams (QBI) Li Zhaoping (UCL) The conference will commence mid-afternoon on Dec 15th and finish at 4pm on Dec 17th. On Dec 15th at 10am the main conference will be preceded by a choice of 3-hour tutorials (tutorial registration AU$50): Mark Bear: Experience-dependent synaptic plasticity Peter Dayan: Neural reinforcement learning Jason Mattingley: Brain stimulation, attention and plasticity Li Zhaoping: Vision, efficient coding and salience We gratefully acknowledge financial support from the Queensland Brain Institute and the Australian Research Council Centre of Excellence for Integrative Brain Function. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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Postdoc positions in Computational Neuroscience/Psychiatry
by Murray, John Sept. 8, 2015

Sept. 8, 2015

The lab of Dr. John Murray at Yale University (http://murraylab.yale.edu) invites applications for postdoctoral positions for research in computational neuroscience. Successful candidates are expected to play an active and independent role in one of our research areas. Our work focuses on understanding the mechanisms of neural dynamics and cognitive function. We also apply computational insights from models to advance the study of brain disorders such as schizophrenia, in a framework for Computational Psychiatry. Our group leverages theoretical and computational modeling of neural circuits, as well as analysis of neural data. We emphasize close collaboration with experimental laboratories using a variety of techniques. Lab members will benefit from the rich intellectual environment at Yale, with exposure to cutting-edge experimental neuroscience and quantitative approaches to biology, through venues such as the Swartz Program in Theoretical Neurobiology<https://medicine.yale.edu/neurobiology/swartz/>. Potential research topics include: — Cortical microcircuitry supporting cognitive computations, e.g. roles of interneurons — Dynamics and structure-function relationships in large-scale brain networks — Neural circuit dysfunction in psychiatric disorders — Neural data analysis, ranging from single-neuron recordings to human neuroimaging, in close collaboration with experimentalists Candidates with a Ph.D. in neuroscience or physical sciences, and with a strong background and interest in quantitative approaches to neurobiology or psychiatry, are especially encouraged to apply. Please email Dr. Murray (john.murray(a)yale.edu<mailto:john.murray@yale.edu>) with the following: (1) a CV, (2) a brief (less than 1 page) statement of research interests and how they may fit with those of the lab, and (3) contact information (email and phone) for three references. Informal inquiries are welcome. John D. Murray ----------------------------------------------- Assistant Professor Department of Psychiatry Yale University School of Medicine murraylab.yale.edu<http://murraylab.yale.edu> -----------------------------------------------

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Fwd: [CN-CR] lecturer position in computational neuroscience, at CNCR, Uni Bham, UK
by Chris Miall Sept. 8, 2015

Sept. 8, 2015

Please see link below for 1-year teaching opportunity. Chris Miall Sent from my iPad > > we have an open teaching-focused lecturer position in computational neuroscience and modelling. > We would be very grateful if you could forward the link to potentially interested candidates at this and other institutions. > > https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTQ4ODU2OSZ2dF90ZW1w… > > Many thanks and Best wishes > Uta > > > _______________________________________________ > cn-cr mailing list > cn-cr(a)cs.bham.ac.uk > https://mailman.cs.bham.ac.uk/mailman/listinfo/cn-cr

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Recruiting Postdocs in Theoretical / Computational Neuroscience
by Zylberberg, Joel L Sept. 8, 2015

Sept. 8, 2015

Hi All, Several postdoctoral positions in theoretical/computational neuroscience are available in the Department of Physiology and Biophysics (PBio) at the University of Colorado's Anschutz Medical Campus, located in Aurora Colorado. The successful candidate(s) will work under the supervision of Dr. Joel Zylberberg to understand how the brain functions so robustly, despite the high levels of variability in the activities of its component neurons. This work will involve the development of mathematical /computational models of neural computation and/or neural communication that can be tested using experimental data. The PBio department has strengths in olfaction, audition, decision-making, motor control, cardiac pacemaking, and development, providing a rich scientific environment. Dr. Zylberberg also has on-going collaborations with retinal and hippocampal physiologists, providing additional opportunities for theory-experiment interaction. Requirements: Applicants should have (or soon be completing) a Ph.D. in either neuroscience, or in a quantitative discipline like applied mathematics, physics, computer science, electrical engineering, etc. The ideal candidate is a highly motivated problem solver with strong programming skills, previous experience in theoretical / computational neuroscience, and a deep desire to understand the principles underlying the functioning of the nervous system. Excellent communication skills are a must. Applicants should email Dr. Zylberberg (joel(dot)zylberberg(at)ucdenver.edu) with the following (please provide these in .pdf format): 1. C.V. including a list of publications, research experience, and education 2. A 1-2 page summary of previous research accomplishments 3. A 1-2 page description of future research goals and interests 4. Names and contact information for 2-3 people who can provide letters of reference Applications will be reviewed as they arrive. For more information about the PBio department, please visit our website at medschool.ucdenver.edu/physiology. __ Joel Zylberberg Assistant Professor Department of Physiology and Biophysics University of Colorado School of Medicine Aurora, CO ~the neuroscience is theoretical, but the fun is real

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Researcher Position, Machine Learning for User Modelling and HRI, Personal Robotics Lab, Imperial College London
by Demiris, Yiannis Sept. 8, 2015

Sept. 8, 2015

Dear colleagues, a research position (either at PhD-candidate or postdoctoral levels) 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<http://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 position are available from 1st of October 2015 until the end of the project at the end of Feb 2019 subject to renewal. 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, Fax: +44-(0)2075946274 http://www.iis.ee.ic.ac.uk/yiannis Lab: http://www.imperial.ac.uk/PersonalRobotics

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Workshop announcement: Supercomputing for Neuroscientists (Juelich, 3.11.2015)
by Abigail Morrison Sept. 7, 2015

Sept. 7, 2015

Supercomputing for Neuroscientists - How High-Performance Computing can help your neuroscience projects Date: 3 November 2015 Venue: Jülich Supercomputing Centre, Forschungszentrum Jülich, Jülich, Germany Registration deadline: 25 October 2015 This workshop aims at bringing neuroscientists interested in using HPC technology for their projects together with experts from the Jülich Supercomputing Centre’s Simulation Laboratory Neuroscience<www.fz-juelich.de:ias:jsc:slns> whose main goal is to bridge the gap between Computational Neuroscience and HPC. The workshop is primarily intended for PIs whose affiliation is in Germany and who may therefore apply for computing time on the Jülich supercomputers through the national GCS and NIC calls<http://www.fz-juelich.de/ias/jsc/EN/Expertise/Supercomputers/ComputingTime/…>, it will also touch on how European supercomputing resources, including those of Jülich, may be accessed by PIs from outside of Germany through the European PRACE access schemes<http://www.prace-ri.eu/hpc-access>. For detailed information on the workshop and registration, please visit: www.fz-juelich.de/ias/jsc/scn<www.fz-juelich.de:ias:jsc:scn> Organizer: SimLab Neuroscience (slns(a)fz-juelich.de) -- Prof. Dr. Abigail Morrison Institute of Neuroscience and Medicine (INM-6) Functional Neural Circuits Group Jülich Research Center http://www.fz-juelich.de/inm/inm-6/ Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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Postdoc positions (Wolpert lab, University of Cambridge)
by Daniel Wolpert Sept. 7, 2015

Sept. 7, 2015

A Postdoc position is available in the Computational and Biological Learning Group, University of Cambridge to work on theoretical and/or experimental approaches to human sensorimotor control. The project is led by Professor Daniel Wolpert and involves investigating the processes involved in sensorimotor decision-making, learning, integration and control. Further details on http://www.wolpertlab.com <http://www.wolpertlab.com/> Closing date Sept 23rd

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CFP: MLINI 2015 - 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner (corrected version)
by Irina Rish Sept. 6, 2015

Sept. 6, 2015

Call for Papers MLINI 2015 - 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner https://sites.google.com/site/mliniworkshop2015/ December 11-12, 2015, Montreal, Quebec, Canada Submission deadline: Monday, October 12th, 2015 Workshop Overview: ----------------------- MLINI workshop focuses on machine learning approaches in neuroscience, neuroimaging, with an extension to behavioral experiments and psychology. This year, our focus is specifically on "Going Beyond the Scanner", which includes making inferences about mental states of a subject from ''cheaper'' (as opposed to fMRI) behavioral data such as subject's speech and/or text, audio, video, EEG and signals collected from various wearable devices. We believe that machine learning has a prominent role in shaping how questions in neuroscience are framed, and that the machine-learning mind set is now entering modern psychology and behavioral studies. It is also equally important that practical applications in these fields motivate a rapidly evolving line or research in the machine learning community. In parallel, there is an intense interest in learning more about brain function in the context of rich naturalistic environments and scenes. Efforts to go beyond highly specific paradigms that pinpoint a single function, towards schemes for measuring the interaction with natural and more varied scene are made. In this context, many controversies and open questions exist. The goal of the workshop is to pinpoint the most pressing issues and common challenges across the fields, and to sketch future directions and open questions in the light of novel methodology. The proposed workshop is aimed at offering a forum that joins machine learning, neuroscience, and psychology community, and should facilitate formulating and discussing the issues at their interface. Motivated by the previous workshops in this series, MLINI ‘11, MLINI’12, and MLINI’13, we will center this workshop around invited talks and a panel discussion. Triggered by the discussions, this year we plan to adapt the workshop topics to a less traditional scope neuroimaging scope and investigate the role of behavioral models and psychology, including topics such as psycholinguistics. Open questions and possible topics for contribution include, but are not limited to, the following: - How can we move towards more naturalistic stimuli, tasks and paradigms in neuroimaging and neuro-signal analysis? - What kind of mental states can be inferred from cheaper and easier to collect data sources (as an alternative to fMRI), such as text, speech, audio, video, EEG, and wearable devices? - How can we leave the lab when acquiring neuroimaging data, towards exploiting mobile acquisition (EEG and NIRS)? - What type of features should be extracted from naturalistic stimuli such as text, voice, etc., to detect specific mental states and/or mental disorders? - How can we combine traditional neuroimaging with naturalistic data collected from a subject or group of subjects? - In general, can we characterize situations when multivariate predictive analysis (MVPA) and inference methods are better suited for brain imaging analysis than more traditional techniques? - Given recent advances of deep learning in image analysis and other applications, a natural question to ask is whether neuroimaging analysis can benefit from such approaches? - How well can functional networks and dynamical models capture the brain activity, and when using network and dynamics information is superior to standard task-based brain activations? Workshop Format: -------------------------- In this two-day workshop we will explore perspectives and novel methodology at the interface of Machine Learning, Inference, Neuroimaging and Neuroscience. We aim to bring researchers from machine learning and neuroscience community together, in order to discuss open questions, identify the core points for a number of the controversial issues, and eventually propose approaches to solving those issues. Each session will be opened by several invited talks, and an in depth discussion. This will be followed by original contributions. Original contributions will also be presented and discussed during a poster session. The workshop will end with a panel discussion, during which we will address specific questions, and invited speakers will open each segment with a brief presentation of their opinion. Paper Submission: -------------------------- We seek for submission of original (previously unpublished) research papers. The length of the submitted papers should not exceed 8 pages in Springer format, excluding the references (LaTeX2e style files are available on the workshop page). Submission of previously published work is possible as well, but the authors are required to mention this explicitly. Previously published work can be presented at the workshop, but will not be included into the workshop proceedings (which are considered peer-reviewed publications of novel contributions). Moreover, the authors are welcome to present their novel work but choose to opt out of the workshop proceedings in case they have alternative publication plans. Important dates: -------------------------- - October 12, 2014 - paper submission - October 26, 2014 - notification of acceptance/rejection - December 11-12, 2014 - Workshop at Montreal, Quebec, Canada , following the NIPS conference Organizing Committee: -------------------------- Guillermo Cecchi (IBM T.J. Watson Research Center) Kai-min Kevin Chang (Language Technologies Institute, Carnegie Mellon University) Moritz Grosse-Wentrup (Max Plank Institute for Intelligent Systems) Georg Langs (Medical University of Vienna, CSAIL, MIT) Brian Murphy (Machine Learning Department, Carngie Mellon University) *Irina Rish (IBM T.J. Watson Research Center) - main contact Leila Wehbe (University of California, Berkeley)

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Call for Abstracts: NIPS Workshop on Statistical Methods for Understanding Neural Systems
by Jascha Sohl-Dickstein Sept. 4, 2015

Sept. 4, 2015

NIPS WORKSHOP 2015 CALL FOR ABSTRACTS Statistical Methods for Understanding Neural Systems Friday, December 11th, 2015 Montreal, Canada -------- Organizers: Allie Fletcher Jakob Macke Ryan Adams Jascha Sohl-Dickstein -------- Overview: Recent advances in neural recording technologies, including calcium imaging and high-density electrode arrays, have made it possible to simultaneously record neural activity from large populations of neurons for extended periods of time. These developments promise unprecedented insights into the collective dynamics of neural populations and thereby the underpinnings of brain-like computation. However, this new large-scale regime for neural data brings significant methodological challenges. This workshop seeks to explore the statistical methods and theoretical tools that will be necessary to study these data, build new models of neural dynamics, and increase our understanding of the underlying computation. We have invited researchers across a range of disciplines in statistics, applied physics, machine learning, and both theoretical and experimental neuroscience, with the goal of fostering interdisciplinary insights. We hope that active discussions among these groups can set in motion new collaborations and facilitate future breakthroughs on fundamental research problems. Call for Papers We invite high quality submissions of extended abstracts on topics including, but not limited to, the following fundamental questions: How can we deal with incomplete data in a principled manner? In most experimental settings, even advanced neural recording methods can only sample a small fraction of all neurons that might be involved in a task, and the observations are often indirect and noisy. As a result, many recordings are from neurons that receive inputs from neurons that are not themselves directly observed, at least not over the same time period. How can we deal with this `missing data' problem in a principled manner? How does this sparsity of recordings influence what we can and cannot infer about neural dynamics and mechanisms? How can we incorporate existing models of neural dynamics into neural data analysis? Theoretical neuroscientists have intensely studied neural population dynamics for decades, resulting in a plethora of models of neural population dynamics. However, most analysis methods for neural data do not directly incorporate any models of neural dynamics, but rather build on generic methods for dimensionality reduction or time-series modelling. How can we incorporate existing models of neural dynamics? Conversely, how can we design neural data analysis methods such that they explicitly constrain models of neural dynamics? What synergies are there between analyzing biological and artificial neural systems? The rise of ‘deep learning’ methods has shown that hard computational problems can be solved by machine learning algorithms that are built by cascading many nonlinear units. Although artificial neural systems are fully observable, it has proven challenging to provide a theoretical understanding of how they solve computational problems and which features of a neural network are critical for its performance. While such ‘deep networks’ differ from biological neural networks in many ways, they provide an interesting testing ground for evaluating strategies for understanding neural processing systems. Are there synergies between analysis methods for analyzing biological and artificial neural systems? Has the resurgence of deep learning resulted in new hypotheses or strategies for trying to understand biological neural networks? Confirmed Speakers: Matthias Bethge Mitya Chklovskii John Cunningham Surya Ganguli Neil Lawrence Guillermo Sapiro Tatyana Sharpee Richard Zemel Workshop Website: h <http://users.soe.ucsc.edu/%7Eafletcher/hdnips2013.html> ttps://users.soe.ucsc.edu/~afletcher/neuralsysnips.html <https://users.soe.ucsc.edu/%7Eafletcher/neuralsysnips.html> Email : smnips2015(a)rctn.org Submission details: Submissions should be in the NIPS_2015 format ( http://nips.cc/Conferences/2015/PaperInformation/StyleFiles) with a maximum of four pages, not including references. Submissions will be considered both for poster and oral presentation. Submit at https://cmt.research.microsoft.com/SMN2015/Protected/Author/ or via the link on the workshop website. Important dates: Submission deadline: 10 October, 2015 11:59 PM PDT (UTC -7 hours) Acceptance notification: 24 October, 2015

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Call for Participation: Bernstein Conference Satellite Workshop "In Vitro Neuronal Networks from 2D to 3D, " Sept. 14, 2015, Heidelberg, Germany
by Tanskanen Jarno Sept. 4, 2015

Sept. 4, 2015

Bernstein Conference Satellite Workshop no. 8 ** In Vitro Neuronal Networks from 2D to 3D ** September 14, 2015, 9:00 - 18:30 Ruprecht-Karls-Universität Heidelberg, Neue Universität Universitätsplatz, Grabengasse 3-5, 69117 Heidelberg, Germany More Information and Registration http://www.bernstein-conference.de/ The program and workshop abstract as a pdf: http://goo.gl/D1hwou Welcome! Jari Hyttinen and Jarno Tanskanen Computational Biophysics and Imaging Group Department of Electronics and Communications Engineering Tampere University of Technology, BioMediTech Finland --- P R O G R A M Welcome & Introduction to 3D in Vitro Technologies - Case: 3DNeuroN Jari Hyttinen, Tampere University of Technology * Session 1: 3D and Controlled Culturing of Neuronal Networks 3D Neural Networks in Engineered Hydrogel Matrices Nicolas Broguiere, Swiss Federal Institute of Technology Zurich Forming Neuron Networks with Controlled Topology in 2D and 3D Janos Vörös, Swiss Federal Institute of Technology Zurich * Session 2: Neuronal-astrocytic Networks and their Modeling Role of Astrocytes in Formation of Functional Neuronal Networks in Vitro Susanna Narkilahti, University of Tampere Computational Modeling of Neuronal-astrocytic Networks Kerstin Lenk, Tampere University of Technology * Session 3: Technology Signal Acquisition and Measurement System for Neural Networks in Vitro Peter Husar, Ilmenau University of Technology Technology and Material Developments for 3D Multielectrode Arrays Heike Bartsch, Ilmenau University of Technology Microbioreactor Designs with Integrated 3D MEA Devices for Cultivation of Neuronal Cells Andreas Schober, Ilmenau University of Technology * Session 4: Stimulation, Analysis, and 3D Network Modeling Investigation of Cultured Neuronal Networks and their Dynamics Induced by Novel Stimulation Paradigms Peter Husar, Fraunhofer IDMT Signal Analysis Methods for Neuronal Microelectrode Array Data Jarno Tanskanen, Tampere University of Technology Computational Modeling from 2D to 3D Networks Kerstin Lenk, Tampere University of Technology * Panel Discussion: From 2D to 3D * Closing of the Workshop Jari Hyttinen, Tampere University of Technology ****

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CFP: MLINI 2015 - 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner
by Irina Rish Sept. 4, 2015

Sept. 4, 2015

Call for Papers MLINI 2015 - 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner https://sites.google.com/site/mliniworkshop2015/ December 11-12, 2015, Montreal, Quebec, Canada Submission deadline: Monday, October 12th, 2015 Workshop Overview: ----------------------- MLINI workshop focuses on machine learning approaches in neuroscience, neuroimaging, with an extension to behavioral experiments and psychology. This year, our focus is specifically on "Going Beyond the Scanner", which includes making inferences about mental states of a subject from ''cheaper'' (as opposed to fMRI) behavioral data such as subject's speech and/or text, audio, video, EEG and signals collected from various wearable devices. We believe that machine learning has a prominent role in shaping how questions in neuroscience are framed, and that the machine-learning mind set is now entering modern psychology and behavioral studies. It is also equally important that practical applications in these fields motivate a rapidly evolving line or research in the machine learning community. In parallel, there is an intense interest in learning more about brain function in the context of rich naturalistic environments and scenes. Efforts to go beyond highly specific paradigms that pinpoint a single function, towards schemes for measuring the interaction with natural and more varied scene are made. In this context, many controversies and open questions exist. The goal of the workshop is to pinpoint the most pressing issues and common challenges across the fields, and to sketch future directions and open questions in the light of novel methodology. The proposed workshop is aimed at offering a forum that joins machine learning, neuroscience, and psychology community, and should facilitate formulating and discussing the issues at their interface. Motivated by the previous workshops in this series, MLINI ‘11, MLINI’12, and MLINI’13, we will center this workshop around invited talks and a panel discussion. Triggered by the discussions, this year we plan to adapt the workshop topics to a less traditional scope neuroimaging scope and investigate the role of behavioral models and psychology, including topics such as psycholinguistics. Open questions and possible topics for contribution include, but are not limited to, the following: - How can we move towards more naturalistic stimuli, tasks and paradigms in neuroimaging and neuro-signal analysis? - What kind of mental states can be inferred from cheaper and easier to collect data sources (as an alternative to fMRI), such as text, speech, audio, video, EEG, and wearable devices? - How can we leave the lab when acquiring neuroimaging data, towards exploiting mobile acquisition (EEG and NIRS)? - What type of features should be extracted from naturalistic stimuli such as text, voice, etc., to detect specific mental states and/or mental disorders? - How can we combine traditional neuroimaging with naturalistic data collected from a subject or group of subjects? - In general, can we characterize situations when multivariate predictive analysis (MVPA) and inference methods are better suited for brain imaging analysis than more traditional techniques? - Given recent advances of deep learning in image analysis and other applications, a natural question to ask is whether neuroimaging analysis can benefit from such approaches? - How well can functional networks and dynamical models capture the brain activity, and when using network and dynamics information is superior to standard task-based brain activations? Workshop Format: -------------------------- In this two-day workshop we will explore perspectives and novel methodology at the interface of Machine Learning, Inference, Neuroimaging and Neuroscience. We aim to bring researchers from machine learning and neuroscience community together, in order to discuss open questions, identify the core points for a number of the controversial issues, and eventually propose approaches to solving those issues. Each session will be opened by several invited talks, and an in depth discussion. This will be followed by original contributions. Original contributions will also be presented and discussed during a poster session. The workshop will end with a panel discussion, during which we will address specific questions, and invited speakers will open each segment with a brief presentation of their opinion. Paper Submission: -------------------------- We seek for submission of original (previously unpublished) research papers. The length of the submitted papers should not exceed 8 pages in Springer format, excluding the references (LaTeX2e style files are available on the workshop page). Submission of previously published work is possible as well, but the authors are required to mention this explicitly. Previously published work can be presented at the workshop, but will not be included into the workshop proceedings (which are considered peer-reviewed publications of novel contributions). Moreover, the authors are welcome to present their novel work but choose to opt out of the workshop proceedings in case they have alternative publication plans. Important dates: -------------------------- - October 12, 2014 - paper submission - October 26, 2014 - notification of acceptance/rejection - December 11-12, 2014 - Workshop at Montreal, Quebec, Canada , following the NIPS conference Organizing Committee: -------------------------- Guillermo Cecchi (IBM T.J. Watson Research Center) Kai-min Kevin Chang (Language Technologies Institute, Carnegie Mellon University) Georg Langs (Medical University of Vienna, CSAIL, MIT) Brian Murphy (Machine Learning Department, Carngie Mellon University) *Irina Rish (IBM T.J. Watson Research Center) - main contact Leila Wehbe (University of California, Berkeley)

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The ReScience journal
by Nicolas P. Rougier Sept. 4, 2015

Sept. 4, 2015

Following our "Long journey into reproducible computational neuroscience" (http://journal.frontiersin.org/article/10.3389/fncom.2015.00030/full) it's our great pleasure to announce the creation of "ReScience" which is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research is reproducible. To achieve such a goal, the whole editing chain is radically different from any other traditional scientific journal. ReScience lives on GitHub where each new implementation is made available together with comments, explanations and tests. Each submission takes the form of a pull request that is publicly reviewed and tested in order to guarantee that any researcher can re-use it. Students are strongly encourage to submit to ReScience. Even if the publishing model is a bit different from other academic journals, this will give them a first experience at peer-reviewed publishing where they have to use a rigorous and scientific approach. • More on the journal website: https://github.com/ReScience/ReScience/wiki • Current issue: https://github.com/ReScience/ReScience/wiki/Current-Issue • FAQ: https://github.com/ReScience/ReScience/wiki/Frequently-Asked-Questions • Follow us on twitter (@ReScienceEds): https://twitter.com/rescienceeds And if you're familiar with Git and GitHub, you can also become a reviewer: just contact us. Konrad Hinsen & Nicolas Rougier

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CFP: 1st International Workshop on Big Data Analytics for Healthcare and Well-being
by Youssef Iraqi Sept. 3, 2015

Sept. 3, 2015

Apologies if you receive multiple copies of this message. ________________________________________________________________ CALL FOR PAPERS 1st International Workshop on Big Data Analytics for Healthcare and Well-being 2016 January 18, 2016, Hong Kong, China http://kecidev.kaist.ac.kr/bigcomp2016/workshop/ In conjunction with the 3rd International Conference on Big Data and Smart Computing (BigComp) 2016 http://conf2016.bigcomputing.org/main/ Purpose and Scope Healthcare and well-being is an important area of research in many countries as one of the emerging application domains for both big data and smart computing. This workshop aims to create opportunities to share on-going works and enhance collaboration among healthcare researchers related to big data or data science, and to foster new innovations of big data and smart computing in the areas of mobile healthcare, smart homes, digital cities, innovations in healthcare and sensing devices, and other related areas. Prospective authors are cordially invited to submit their original contributions covering completed or ongoing work related to the area of big data analytics for healthcare and well-being. The topics include but are not limited to: - Smart health and big data - Data mining, graph mining and data science for healthcare - Big data analytics and social media for healthcare - Smart devices and hardware for healthcare - Smart location-based services for healthcare - Models and tools for smart computing in healthcare - Innovations in healthcare and sensing devices - Security and privacy for big data in healthcare - Cloud and grid computing for healthcare - Standards for big data in healthcare PAPER SUBMISSION Perspective authors are invited to submit their papers, up to 8 pages each, in the IEEE paper template. Papers must be formatted in PDF according to the IEEE two-column format for conference proceedings and submitted through EasyChair, http://www.easychair.org/. The direct link for paper submission is https://easychair.org/conferences/?conf=bigdata4healthcare IMPORTANT DATES Paper Submission Due: September 30, 2015 (23:59, HKT) Notification of Acceptance: November 15, 2015 Camera ready Papers: December 13, 2015 Workshop: January 18, 2016 ORGANIZATIONAL COMMITTEE Workshop Chairs: Youssef Iraqi, Dept. of Electrical & Computer Engineering, Khalifa University, UAE Ho-Jin Choi, School of Computing, KAIST, Korea Min Song, Dept. of Library & Information, Yonsei University, Korea TPC Members: Ae Ran Kim, College of Nursing, Seoul National University, Korea Amjad Gawanmeh, Dept. of Electrical & Computer Engineering, Khalifa University, UAE Byeong-Soo Jeong, Dept. of Computer Engineering, Kyung Hee University, Korea Changseok Bae, SW.Content Research Laboratory, ETRI, Korea Ahsan Khandoker, Department of Biomedical Engineering, Khalifa University, UAE Hani Saleh, Dept. of Electrical & Computer Engineering, Khalifa University, UAE Gwan-Su Yi, Dept. of Bio & Brain Engineering, KAIST, Korea Harish Bhaskar, Dept. of Electrical & Computer Engineering, Khalifa University, UAE Hyeoun-Ae Park, College of Nursing, Seoul National University, Korea Kyuchang Kang, SW.Content Research Laboratory, ETRI, Korea Tae-Min Song, Korea Institute for Health and Social Affairs, Korea Yong-Ik Yoon, Dept. of Multimedia Science, SookMyung Women’s University, Korea Yu-Chae Jung, Dept. of Multimedia Science, SookMyung Women’s University, Korea Nan Xiang, Dept. of Computer Science, Chongqing University of Technology, China Lingyun Zhu, Dept. of Internet of Things, Chongqing University of Technology, China Yong Wang, Dept. of Network Engineering, Chongqing University of Technology, China Dr. Youssef Iraqi Associate Professor Electrical and Computer Engineering Department [cid:logo.gif] PO Box 127788, Abu Dhabi, UAE T +971 (0)2 501 8323 F +971 (0)2 447 2441 Youssef.Iraqi(a)kustar.ac.ae [cid:twitter.jpg]<https://twitter.com/KhalifaUni> [cid:fb.jpg] <https://www.facebook.com/KhalifaUniversity> [cid:youtube.jpg] <http://www.youtube.com/user/KhalifaUniversity> [cid:instagram.jpg] <http://instagram.com/khalifauni> [cid:linkedin.jpg] <https://www.linkedin.com/company/khalifa-university-?trk=biz-companies-cym> [cid:slogan.png]

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Job posting: 5 PhD Positions in the Dutch Research Consortium 'Language in Interaction'
by Lorenz, C.M. Sept. 3, 2015

Sept. 3, 2015

Job posting: 5 PhD Positions in the Dutch Research Consortium 'Language in Interaction' We are looking for highly motivated PhD candidates to enrich a unique consortium of researchers that aims to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. The Netherlands has an outstanding track record in the language sciences. This research consortium sponsored by a large grant from the Netherlands Organization for Scientific research (NWO) brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. The research team consists of 43 Principal Investigators. In addition to the excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else. Currently, the consortium advertises five PhD positions for a period of 4 years. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Maximum salary: €2,717 gross/month Closing date for application: 04 October 2015, 23:59 CET For more information on the PhD positions and how to apply: https://www.languageininteraction.nl/ThirdCallGeneral.html <https://www.languageininteraction.nl/ThirdCallGeneral.html>

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SAC2016 - NeuroComputing Track - Paper submission DEADLINE EXTEDED
by Falotico Egidio Sept. 2, 2015

Sept. 2, 2015

Dear Community, The paper submission deadline of SAC2016 conference has been extended to September 21. Please consider to submit a contribution to the NeuroComputing track. ============================== NeuroComputing Track - Call For Papers ============================== The NeuroComputing Track has been proposed as a track of the Symposium on applied Computing (SAC2016) that will be held in Pisa from 4 to 8 April 2016. The ACM Symposium on Applied Computing (SAC) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2016 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP). ============================== TRACK AIM The development of computation models of the nervous system and neural processes has risen at a rapid pace. Developing neuro-inspired computing paradigms that mimic nervous system function fosters our model understanding of the biological system and targets technical applications in artificial systems. Today, combined efforts in the fields of the neuroscience and computer science in interdisciplinary research projects like the Human Brain Project enable the simulation of spiking biological neural networks with millions of neurons. In order to deal with the complexity and scaling of such networks a new generation of appropriate tool is needed to simulate the neural network in real-time. Neuromorphic hardware and supercomputers are the ideal candidates on the hardware side, and on the software side tools should ease the development and support the researcher during the evaluation by offering a toolchain for the implementation and simulation. The aim of the ACM Symposium on Applied Computing (SAC) Track on NeuroComputing is to gather innovative works related to the application of computational techniques for the brain simulation, as well as the system software, middleware, interactive computational steering and visualization support necessary to create and simulate multi-scale brain models and to address the hard-scaling challenges of whole brain modelling. ============================== TRACK WEBSITE http://sssa.bioroboticsinstitute.it/tracks/sac2016 ============================== TOPICS OF INTEREST - Neuromorphic hardware - Large scale simulation of NN - Brain visualization tools - Neuro imaging software - Spiking neural networks - Bio-inspired learning mechanisms - Software applications for real-time neural network simulation - Software applications for real-time brain-body simulation - High performance computing for neural simulation - Neural simulators ============================== IMPORTANT DATES September 21, 2015 : Paper submission extended November 13, 2015 : Acceptance notification December 11, 2015 : Camera-ready submission ============================== TRACK CHAIRS Cecilia Laschi, The BioRobotics Institut,e Scuola Superiore SantAnna Pisa, Italy Egidio Falotico, The BioRobotics Institute, Scuola Superiore SantAnna Pisa, Italy Florian Röhrbein, Technical University of Munich, Munich, Germany Marc-Oliver Gewaltig, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Paul Levi, Research Center for Information Technology,Karlsruhe, Germany Stefan Ulbrich Research Center for Information Technology,Karlsruhe, Germany -- Egidio Falotico Computer Scientist PhD in BioRobotics PhD in Cognitive Science The BioRobotics Institute Polo Sant'Anna Valdera - Scuola Superiore Sant'Anna Viale Rinaldo Piaggio, 34 - 56025 - Pontedera (PI) - Italy Phone: +39 050 883 457 e-mail: e.falotico(a)sssup.it

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Call for abstracts: Bounded optimality and rational metareasoning workshop @ NIPS
by Sam Gershman Sept. 2, 2015

Sept. 2, 2015

We are pleased to announce a NIPS workshop on bounded optimality and rational metareasoning, which will take place in Montreal, Canada on December 11, 2015. This workshop brings together computer scientists working on bounded optimality and metareasoning with psychologists and neuroscientists reverse-engineering the computational principles that make the human brain incredibly resource-efficient. The goal of this workshop is to synthesize these different perspectives on bounded optimality, to promote interdisciplinary interactions and cross-fertilization, and to identify directions for future research. We invite abstract submissions, due October 28: https://sites.google.com/site/boundedoptimalityworkshop/call-for-abstracts Tentative schedule: https://sites.google.com/site/boundedoptimalityworkshop/home Sam Gershman Assistant Professor Department of Psychology and Center for Brain Science Harvard University http://gershmanlab.webfactional.com/index.html

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COSYNE 2016: Call for workshop proposals
by Tomas Hromadka Sept. 2, 2015

Sept. 2, 2015

==================================================== Computational and Systems Neuroscience 2016 (Cosyne) MAIN MEETING Feb 25 - Feb 28, 2016 Salt Lake City, Utah WORKSHOPS Feb 29 - Mar 1, 2016 Snowbird Ski Resort, Utah www.cosyne.org ==================================================== ----------------------------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------------------------- PROPOSAL DEADLINE: 31 October, 2015. PRE-PROPOSALS: In an effort to coordinate submissions, the organizers are encouraged to submit a pre-proposal by October 1st, 2015. Pre-proposals will be shared among submitters. Pre-proposals are requested but not required. The organizers may submit the full proposal by its deadline. A series of workshops will be held after the main Cosyne meeting (www.cosyne.org) The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at http://www.cosyne.org/c/index.php?title=Workshops) Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Please note that in an effort to reduce the overlap between workshops, speakers are strongly discouraged from presenting talks at more than one workshop. WORKSHOP DETAILS: - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8:00-11:00 AM) and afternoon (4:30-7:30 PM) sessions. - Workshops will be held at Snowbird, a ski resort located 30 miles (typically less than an hour) from the Salt Lake City airport. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS: Deadline for pre-proposals: 01 October, 2015 Deadline for proposals: 31 October, 2015 Format: plain text only -- please no attachments email to: cosyne16workshops(a)gmail.com (Claudia Clopath, Alfonso Renart) PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs 2 days, please explain why. - A brief resume of the workshop organizer along with a short list of workshop-relevant publications (about half a page total). PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS: Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. WORKSHOP COSTS: Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complementary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2016 WORKSHOP CHAIRS: Claudia Clopath (Imperial College London) and Alfonso Renart (Champalimaud Center Lisbon). QUESTIONS: email: cosyne16workshops(a)gmail.com

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Postdoc
by Pestilli, Franco Sept. 1, 2015

Sept. 1, 2015

Dear Community, We are looking for a talented individual to work on a large-scale neuroimaging project funded by the Indiana CTSI<https://www.indianactsi.org/>. The project aims at applying cutting-edge neuroimaging and connectomics methods (Pestilli et al., Nature Methods 2014<http://www.nature.com/nmeth/journal/v11/n10/abs/nmeth.3098.html>; Mišić et al., Neuron 2015<http://www.cell.com/neuron/abstract/S0896-6273(15)00474-2>) on the latest generation of data from Indiana Alzheimer Disease Center<http://iadc.medicine.iu.edu/>. The project is a collaboration between groups at Indiana <https://www.indiana.edu/> University Bloomington<https://www.indiana.edu/> (Franco Pestilli and Olaf Sporns), Indiana University School of Medicine, Indianapolis (Andrew Saykin, Li Shen, and Yu-Chien, Wu) and Purdue University, Lafayette (Joaquin Goñi). The team has strong expertise in aging and Alzheimer’s disease, imaging genetics, network science, magnetic resonance imaging measurements and computational modeling. The ideal candidate will have a PhD in Computer Science, Engineering, Neuroscience, Informatics or Cognitive Science. Strong programming skills (e.g., in Python, MATLAB, or C/C++) and previous background in neuroimaging, computational modeling, or machine learning will be highly valued. The project will involve developing and publishing software products as well as contributing to ongoing software projects such as: https://francopestilli.github.io/life and https://sites.google.com/site/bctnet/. Preference will be given to candidates demonstrating successful productivity by means of scientific articles and software publishing. Interested candidates should send CV, statement of research interests, and names of three references to Dr. Franco Pestilli franpest(a)indiana.edu<mailto:franpest@indiana.edu>. Review of the applications will start immediately and continue until the position is filled. Dr. Pestilli and Professor Sporns will be available at SfN in Chicago for informal meetings with potential candidates. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, national origin, disability status or protected veteran status. Best regards, Franco Franco Pestilli, PhD Assistant Professor Psychology<http://psych.indiana.edu/>, Neuroscience<http://www.indiana.edu/~neurosci/> and Cognitive Science<http://www.cogs.indiana.edu/> Indiana Network Science Institute<http://iuni.iu.edu/> 𝞇 Indiana University, Bloomington<http://www.iub.edu/>, IN 47405<http://goo.gl/0uVOc8> francopestilli.com<http://www.francopestilli.com/> | franpest(a)indiana.edu<mailto:franpest@indiana.edu> Phone: +1 (812) 856 9967

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open positions in machine learning and computational neuroscience
by Turaga, Srinivas C Sept. 1, 2015

Sept. 1, 2015

The Turaga Lab is looking for exceptional postdoctoral researchers and programmers (and graduate students!) for research at the intersection of machine learning and neuroscience. https://www.janelia.org/lab/turaga-lab With recent technological advances in 3d electron microscopy, optogenetics and large-scale chronic in vivo neural imaging, it is now possible to measure and perturb the activity of large populations of neurons, and to map their connectivity. These new data can be used understand how the structure of a neural circuit gives rise to its function. Our lab develops machine learning algorithms to map neural connectivity, and statistical models to characterize neural activity and to relate activity to connectivity. We have pioneered the use of deep-learning based machine learning algorithms to map neural connectivity from 3d electron microscopic images of brain tissue, and we are now working to improve these methods. This involves solving interesting new problems in structured prediction, active learning and unsupervised learning at an unprecedented scale (imagine working with labeled training datasets with 10^9 examples in a 10^6 dimensional feature space and wanting to achieve accuracies of 99.999%!). We are also developing novel statistical methods to analyze large-scale calcium imaging datasets. This is with an eye towards combining such large-scale activity measurements with structural connectomes in order to relate neural activity to neural connectivity with statistical and mechanistic models. HHMI's Janelia Research Campus is a unique, world-class research community near Washington, D.C. dedicated to understanding the function of neural circuits and developing synergistic imaging technology. Our highly collaborative structure is designed to support interdisciplinary work in small lab groups. We seek candidates who are comfortable with risk and are able to think independently to develop novel approaches. Applicants should have a strong quantitative background with degrees or expertise in machine learning, computational neuroscience, applied mathematics, physics or related discipline. Excellent collaborative programming skills in Python, C/C++, Java or similar languages are essential. To apply, please send a CV and names and addresses of 2-3 references by email to Dr. Srini Turaga, turagas(a)janelia.hhmi.org.

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SFN 2015 Workshop: high performance computing via Neuroscience Gateway
by Ted Carnevale Sept. 1, 2015

Sept. 1, 2015

What: Workshop on the Neuroscience Gateway Portal (NSG, http://www.nsgportal.org) When: 9AM - Noon on Saturday, October 17, 2015. Registration deadline: Friday, October 2, 2015. Where: Downtown Chicago (exact location announced to registrants) Speakers: Amit Majumdar, Subha Sivagnanam, Padraig Gleeson, Simon Rothmeier, Ted Carnevale, Alex Peyser, Hannah Bos. Agenda: Downloadable from http://www.nsgportal.org/workshop.html Why: If you have, or plan to start, a research project that involves computationally intensive modeling or data analysis, you should know about NSG. NSG is being developed with support from NSF to make it easy for neuroscientists to use high performance computing (HPC) resources in their research. Some of NSG's advantages: * Quick and easy account application and approval. * Free computing time. No cost to your account budget! * Simple user interface for uploading data, running simulations or data analysis tasks, and downloading results * Installed software includes MOOSE, GENESIS 3, NEST, NEURON, PyNN, the Freesurfer Software Suite, and the Virtual Brain Empirical Data Pipeline For more information or to sign up, see http://www.neuron.yale.edu/neuron/static/courses/nsg2015/nsg2015.html or contact Ted Carnevale [ted dot carnevale at yale dot edu] or Amit Majumdar [majumdar at sdsc dot edu]

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Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of retinal electrophysiology in response to visual stimulation, with specific expertise in deep learning and sparse learning BC: 71326 - 71327
by Diego Sona Aug. 31, 2015

Aug. 31, 2015

Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of retinal electrophysiology in response to visual stimulation, with specific expertise in deep learning and sparse learning BC: 71326 - 71327 Fondazione Istituto Italiano di Tecnologia – IIT – was established by the Italian government to promote technological development and training in the scientific and technological field. Toward this end, IIT is implementing a detailed scientific program, which comprises integration across fundamental research and application. IIT’s research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible application from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies. One postdoctoral position in Computer Vision, Pattern Recognition and Machine Learning is available in the department of Pattern Analysis and Computer Vision (PAVIS) at the Istituto Italiano di Tecnologia (IIT) ,Genova, Italy. PAVIS department has consolidated expertise in image processing, computer vision, pattern recognition and machine learning and aims at studying and designing intelligent systems for the analysis and understanding of real-world problems. PAVIS focuses in particular on activities related, but not limited, to surveillance and security, biomedical imaging, and bioinformatics. Project Description The research position is funded by the European project “RENVISION - Retina-inspired ENcoding for advanced VISION tasks” (http://www.renvision-fp7.eu/ <http://www.renvision-fp7.eu/>). The overall aim of the project is to achieve a comprehensive understanding of how the retina encodes complex visual scenes, and to use such insights to develop new computational models of retina and toapply them to high-level computer vision tasks, such as scene categorization and action recognition. The project is highly interdisciplinary, including neuro-engineering, electrophysiology, high-resolution microscopy imaging, computational modelling, data analysis, machine learning and computer vision. RENVISION is funded by the European Commission FP7 Future Emerging Technologies programme, under contract n. 600847. Description of the research The candidate will design novel methodologies and algorithms based on pattern recognition and machine learning techniques, aiming at analysing electrophysiological recordings in response to visual stimulation of retina. The main objective of the research is the discovery/determination of representative and/or discriminative features in retina coding allowing for high-level vision tasks, such as scene categorization and action recognition. To this purpose, deep learning, sparse and dictionary learning approaches are to be considered. Experience and Qualifications We are seeking a self-motivated individual with the ability to take day-to-day responsibility for the progress of the proposed work. The ideal candidate will have a PhD in Computer Science, Mathematics, Electronic Engineering or a closely-related discipline, with competences on machine learning/pattern recognition/computer vision, coupled with a keen interest in neuroscience and biological data processing and analysis. Expertise in deep learning, compressive sensing, and/or dictionary learning is in general preferred. Experience in spiking networks or retinal function will be appreciated while not being a discriminating factor. A strong programming skill is required. Annual salary will depend on research experience and qualification. Closing Date The initial deadline for applications is September 7th , 2015, however please note that the search will continue until appropriate candidates have been identified. How to apply Completed application forms along with a curriculum listing all publications (possibly including pdfs of the most representative ones), names of 2 referees and a research statement (describing previous research experience and outlining its relevance to the above topics) should be sent by email to Prof. Vittorio Murino vittorio.murino(a)iit.it <mailto:vittorio.murino@iit.it> and/or Diego Sona diego.sona(a)iit.it <mailto:diego.sona@iit.it>, quoting PAVIS-PD 71327 – 71326 as reference number. For informal enquiries please write to Prof. Vittorio Murino vittorio.murino(a)iit.it <mailto:vittorio.murino@iit.it> or Diego Sona diego.sona(a)iit.it <mailto:diego.sona@iit.it>. In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow Istituto Italiano di Tecnologia to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of evaluating and selecting candidates in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data, and they will not be communicated to thirds. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Holder. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in its workforce Diego Sona --------------------------------------------------------- Pattern Analysis & Computer Vision (PAVIS) Istituto Italiano di Tecnologia (IIT) Via Morego 30, 16163, Genova, Italy Phone: +39 010 71781 819 E-mail: diego.sona(a)iit.it www.iit.it/pavis.html ---------------------------------------------------------

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Postdoc/PhD Position in Recurrent Neural Network Architectures
by Herbert Jaeger Aug. 31, 2015

Aug. 31, 2015

The department of Computer Science at Jacobs University Bremen (http://www.jacobs-university.de) announces a POSTDOC / PHD RESEARCH POSITION IN MACHINE LEARNING / NEURAL NETWORKS / INTELLIGENT AGENT ARCHITECTURES (full-time, very competitive salary, 3 years, start December 1, 2015 or later) the MINDS research group of Herbert Jaeger (http://minds.jacobs-university.de) The position is created in the European Horizon 2020 integrated project "Neural Computing Architectures in Advanced Monolithic 3D-VLSI Nano-Technologies" (NeuRAM3). The project aim of NeuRAM3 is to design and fabricate a large-scale, highly configurable neuromorphic microchip. Based on spiking, recurrent neural dynamics, the microchip is similar in some ways to IBM's recent TrueNorth neurochip (http://www.research.ibm.com/articles/brain-chip.shtml) However, our project aims significantly further than TrueNorth, and IBM is one of the consortium partners. In particular, novel 3-dimensional chip manufacturing technologies will enable a much more complex and much more flexibly configurable on-chip neural architecture. Within this setting, the MINDS group develops *neural learning algorithms and architectures* which are tailored to the novel opportunities afforded by a 3-dimensional, spiking microchip. This line of research will be carried out in close collaboration with a consortium partner from computational neuroscience (Institute of Neuroinformatics, University Zurich and ETH Zurich). Currently in machine learning approaches of deep learning are attracting much attention. In several ways the research in the MINDS group is *complementary to deep learning*. The latter is grounded in high-precision gradient descent methods for training and can devour extremely large training datasets to learn extremely complex tasks. The price paid is very long training times and a lack of online adaptability. In contrast, *we aim for very fast (even instantaneous) learning, online adaptability and extensibility, robustness against noise and computations with low numerical accuracy*. Such properties will be crucial for the algorithms running on next-generation chipsets for mobile devices – and they are also crucial for biological neural systems. The background philosophy of this research is framed by reservoir computing (http://minds.jacobs-university.de/ESNresearch) and conceptors (http://minds.jacobs-university.de/conceptors) Eligible candidates must have a mindset inclined toward mathematical modeling, fluency in English, plus a solid background in at least one of the following areas: • dynamical systems theory, • signal processing and control, • machine learning, • computational neuroscience, • intelligent agent architectures. Details about the position and the NeuRAM3 project will be gladly supplied by Herbert Jaeger (h.jaeger(a)jacobs-university.de) upon request. Please submit applications by email to Herbert Jaeger. Applicants passing an initial screening will be asked to supply two letters of reference. Applications will be processed as long as the job announmcent is posted online at http://minds.jacobs-university.de/jobs. *Jacobs University Bremen* is Germany's only private university with a full range of academic programs from the natural and social sciences and engineering. Its student body is one of the most international conceivable: more than 100 nations are joined on our beautiful campus. Within its young history of only a little more than 10 years, Jacobs University has climbed to the top in many disciplines in Germany's most important university ranking (http://www.che-ranking.de/cms/?getObject=613&getLang=en) The language on campus is English. ------------------------------------------------------------------ Dr. Herbert Jaeger Professor of Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 Fax (+49) 421 200 49 3215 email h.jaeger(a)jacobs-university.de http://minds.jacobs-university.de ------------------------------------------------------------------

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Update 2: 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016)
by IEEE WCCI 2016 Aug. 31, 2015

Aug. 31, 2015

Dear Colleague, Below please find some updated information about 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016). 2016 IEEE World Congress on Computational IntelligenceVancouver Convention Centre, Vancouver, Canada 25-29 July 2016 www.wcci2016.org*---------------~*******~-------------------* * Paper Submission is now OPEN* *---------------~*******~-------------------* IEEE WCCI 2016 paper submission is now OPEN. All papers should be submitted through the IEEE WCCI 2016 online submission system before the deadline of 15 January 2016. Click here for more information: http://www.wcci2016.org/submission.php *-----~*******~------* * Speakers* *-----~*******~------* World renowned computer scientist and computational theorist, Chair Professor at Harvard University, 2010 Turing Award winner, Professor Leslie Valiant will deliver a keynote at IEEE WCCI 2016. The 2016 IEEE Frank Rosenblatt Award winner, Professor Ronald R. Yager (IEEE Fellow), will receive his award and deliver a keynote at IEEE WCCI 2016. The 2016 IEEE CIS Evolutionary Computation Pioneer Award winner and 2015 IEEE Frank Rosenblatt Award winner, Professor Marco Dorigo (IEEE Fellow), will receive his award and deliver a keynote at IEEE WCCI 2016. *---------~*******~---------* * Best Paper Awards* *---------~*******~---------* IEEE WCCI 2016 will present the Best Overall Paper Awards and the Best Student Paper Awards to recognize outstanding papers published in each of the three conference proceedings (IJCNN 2016, FUZZ-IEEE 2016, IEEE CEC 2016). The awards will be judged by an Awards Committee and the recipient of each award will be given a certificate of the award and a cash prize to be presented during the conference banquet at IEEE WCCI 2016. *--------~****~--------* * Travel Grants* *--------~****~--------* The IEEE Computational Intelligence Society (IEEE CIS) will offer a limited number of travel grants for - Students (undergraduate or graduate students, from any country) - Professional researchers from developing countries who are presenting one or more papers at IEEE WCCI 2016. Click here for more information:http://www.wcci2016.org/sponsors.php *---------~****~---------* * Important Dates* *---------~****~---------* - Special Session & Workshop Proposals Deadline: 15 November 2015 - Competition & Tutorial Proposals Deadline: 15 December 2015 - *Paper Submission Deadline: 15 January 2016* - Paper Acceptance Notification Date: 15 March 2016 - Final Paper Submission & Early Registration Deadline: 15 April 2016 - IEEE WCCI 2016: 25-29 July 2016 For more information on the congress, please visit: [www.wcci2016.org] www.wcci2016.org *Alternatively we can also be reached on the following social media platforms:* - https://www.facebook.com/wcci2016; - https://twitter.com/wcci2016; - http://www.weibo.com/wcci2016; - http://t.qq.com/wcci2016 We look forward to welcoming you in Vancouver next year! Best wishes, Kay Chen Tan and Gary G. Yen 2016 IEEE WCCI General Co-Chairs

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Re: [Comp-neuro] Registration and Abstract submission Brain States Conference
by Bias Watch Aug. 29, 2015

Aug. 29, 2015

Brain States: Characterization and Neuromodulation by DBS Organizers: Rowshanak Hashemiyoon, Veerle Visser-Vandewalle Invited speaker gender ratio: 0 Females / 22 Males Estimated* base rate of females in the field: 20% BiasWatchNeuro rating: 0 out of 3 *Method of estimation: NIH RePORTER with text keyword “DBS”, count number of female first PIs in first 25 results for more information: www.biaswatchneuro.com > From: neuro girl <neurogirl(a)hotmail.com> > > Subject: [Comp-neuro] Registration and Abstract submission Brain States > Conference > > Date: August 27, 2015 3:15:33 AM EDT > > To: "comp-neuro(a)neuroinf.org" <comp-neuro(a)neuroinf.org> > > > > Dear All, > > > > Registration and abstract submission are now open! > > > > Brain States: Characterization and Neuromodulation by DBS > > November 11-13, 2015 in Cologne, Germany. > > > > Interdisciplinary contributions to the study of brain mechanics have > greatly advanced our theories of the neurodynamic operations employed by > the brain. Although the brain exhibits continuous ongoing activity, > variation in the spatiotemporal patterns of activation observed across > different brain regions during rest versus active processing provides > valuable information about functional connectivity and strategies for > information processing. > > > > This conference will explore the most up-to-date theories of normal > brain function and how these processes may be altered to produce > pathological states. Furthermore, it will explore the models and methods > used to describe the proposed neural strategies subserving these different > brain states. > > > > Our list of confirmed speakers include: > > Hagai Bergman (Hebrew University of Jerusalem) > > Peter Brown (University of Oxford) > > Stephan Chabardes (University Hospital Grenoble) > > Alain Destexhe (CNRS) > > Emad N. Eskandar (Massachusetts General Hospital-Harvard Medical School) > > John J. Foxe (Albert Einstein College of Medicine) > > Marc Goodfellow (University of Exeter) > > Anthony A. Grace (University of Pittsburgh) > > Rowshanak Hashemiyoon (University Hospital of Cologne) > > Jens Haueisen (Technische Universität Ilmenau) > > Viktor Jirsa (Aix-Marseille Université /CNRS) > > Jens Kuhn (University Hospital Cologne) > > Fernando Lopes da Silva (University of Amsterdam) > > Andres Lozano (University of Toronto) > > Cameron McIntyre (Case Western Reserve University) > > Christoph M. Michel (University of Geneva) > > Bart Nuttin (KU Leuven) > > Urs Ribary (Simon Fraser University) > > Günter Schiepek (Paracelsus Medical University) > > Wolf Singer (Max Planck Institute for Brain Research) > > Dimitri van de Ville (University of Geneva) > > Veerle Visser-Vandewalle (University Hospital of Cologne) > > Jürgen Voges (Otto-von-Guericke-University Magdeburg) > > We are intentionally limiting attendance in order to ensure a collegial > atmosphere with excellent discussion. > > > > More information can be found on these websites http://bit.ly/1JVElkf > and https://dbs.veomed.net/. > > > > Hope to see you in Cologne! > > > > > > With kind regards, > > Row Hashemiyoon > > > > Rowshanak Hashemiyoon, PhD > > Chief, Behavioral Neurophysiology and Computational Neuroscience > > Klinik für Stereotaxie und Funktionelle Neurochirurgie > > Universitätsklinikum Köln > > Kerpener Str. 62 > > D - 50937 Köln > > Email: row.hashemiyoon(a)uk-koeln.de<mailto:row.hashemiyoon@uk-koeln.de> > > http://www.uk-koeln.de/de/stereotaxie > > > > > > > > > > _______________________________________________ > > Comp-neuro mailing list > > Comp-neuro(a)neuroinf.org > > http://www.neuroinf.org/mailman/listinfo/comp-neuro > >

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PhD studentships in computational neuroscience and machine learning
by Steuber, Volker Aug. 28, 2015

Aug. 28, 2015

Applications are invited for PhD studentships in the Biocomputation Research Group at the Science and Technology Research Institute at the University of Hertfordshire. PhD projects involve the development of computer simulations of neurons and neuronal networks to study information processing in the brain, and/or the application of machine learning techniques to analyse electrophysiological data. More details about our research and a list of potential projects can be found on our homepage (http://homepages.herts.ac.uk/~comqvs/research.html) Applicants should have good computational and numerical skills and an excellent first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Previous experience in neuroscience is not required but would be an advantage. Successful candidates are eligible for a research studentship award from the University (approximately GBP 13,800 per annum bursary plus the payment of the standard UK student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 55% of the research submitted being rated as world leading or internationally excellent. The Science and Technology Research Institute provides a very stimulating environment, offering a large number of specialized and interdisciplinary seminars as well as general training opportunities. The University of Hertfordshire is situated in Hatfield, in the green belt just north of London. Please contact Dr Volker Steuber (v.steuber @ herts.ac.uk) for informal enquiries. Application forms can be obtained from Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, l.nicholls @ herts.ac.uk. The short-listing process will begin on 9 June 2014.

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Postdoctoral Position at The Rockefeller University
by George Reeke Aug. 27, 2015

Aug. 27, 2015

Postdoctoral position in Computational Neuroscience A postdoctoral position supported by the BRAIN initiative is available at The Rockefeller University under the guidance of George Reeke in collaboration with Charles Gilbert and Winrich Freiwald. The overall project will study cortical mechanisms of object recognition and more specifically the influence of top-down task-and attentional influences on cortical dynamics and perceptual learning in areas of the visual cortical pathway. The computational work will involve developing and running large-scale spiking models of cortical regions studied in the overall project, with the goal of developing an accurate theoretical understanding of the phenomena observed in the experimental research. The successful candidate should, ideally, have a Ph.D. in a relevant area of neuroscience with a strong knowledge of mammalian visual systems and neuronal systems modeling. The candidate will be expected to develop suitable software to supplement the available tools as needed and will be able to work both independently and as part of a team. Interested individuals should send a c.v. and the names of three references to Dr. George Reeke (reeke(a)rockefeller.edu) with a subject line "Computational Neuroscience postdoc position". The position is available immediately, and applications will be accepted until the position is filled. The Rockefeller University is an Equal Opportunity Employer - Minorities/Women/Disabled/Veterans.

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Postdoctoral positions in Systems/Computational neuroscience [Univ Pittsburgh]
by Nathan Urban Aug. 27, 2015

Aug. 27, 2015

The lab of Dr. Nathan Urban, University of Pittsburgh, Department of Neurobiology and Center for the Neural Basis of Cognition invites applications for two postdoctoral positions for projects on the analysis of olfactory system function and circuitry. Projects involve measuring of neural activity in vivo or in vitro using physiological and imaging approaches (whole cell patch clamp and calcium imaging in vitro and 2-photon imaging and physiology in vivo). We seek both experimentalists and computational neuroscientists interested in exploring the following topics in rodent model systems: The mechanisms and role of biophysical and circuit-level neuronal diversity Connections between biophysical and statistical models of neurons Sensory coding in control mice and in disease models Successful candidates will have a track record of publications and experience in experimental and/or computational neuroscience. Interests must be aligned with the broad interests of the lab and successful applicants will be expected to participate in ongoing collaborations with other groups in Pittsburgh and in other locations. Postdocs in the lab will have the opportunity to present their work at national and international meetings. Through mentoring and by creating opportunities for independent projects, postdocs will be in an excellent position to develop towards independent career objectives. Applicants can contact Dr. Urban via e-mail at nurban(a)pitt.edu and should apply via: http://goo.gl/forms/27qj1SJxw4 Qualifications: The successful candidate should have a PhD or equivalent degree in neuroscience, engineering, computer science or a related discipline. Clear evidence of research productivity and ability to work on collaborative projects is also essential. Feel free to forward to interested colleagues. ___________________________________________ Nathan Urban, Ph.D. Vice Provost for Special Projects 829 Cathedral of Learning Professor and Associate Chair - Department of Neurobiology http://www.neurobio.pitt.edu/ Co-Director Center for the Neural basis of Cognition www.cnbc.cmu.edu Associate Director Pittsburgh Brain Institute http://www.braininstitute.pitt.edu/ E1440 BSTWR 200 Lothrop Street University of Pittsburgh Pittsburgh, PA 15213 Phone: 412-648-3396 nurban(a)pitt.edu

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Registration and Abstract submission Brain States Conference
by neuro girl Aug. 27, 2015

Aug. 27, 2015

Dear All, Registration and abstract submission are now open! Brain States: Characterization and Neuromodulation by DBS November 11-13, 2015 in Cologne, Germany. Interdisciplinary contributions to the study of brain mechanics have greatly advanced our theories of the neurodynamic operations employed by the brain. Although the brain exhibits continuous ongoing activity, variation in the spatiotemporal patterns of activation observed across different brain regions during rest versus active processing provides valuable information about functional connectivity and strategies for information processing. This conference will explore the most up-to-date theories of normal brain function and how these processes may be altered to produce pathological states. Furthermore, it will explore the models and methods used to describe the proposed neural strategies subserving these different brain states. Our list of confirmed speakers include: Hagai Bergman (Hebrew University of Jerusalem) Peter Brown (University of Oxford) Stephan Chabardes (University Hospital Grenoble) Alain Destexhe (CNRS) Emad N. Eskandar (Massachusetts General Hospital-Harvard Medical School) John J. Foxe (Albert Einstein College of Medicine) Marc Goodfellow (University of Exeter) Anthony A. Grace (University of Pittsburgh) Rowshanak Hashemiyoon (University Hospital of Cologne) Jens Haueisen (Technische Universität Ilmenau) Viktor Jirsa (Aix-Marseille Université /CNRS) Jens Kuhn (University Hospital Cologne) Fernando Lopes da Silva (University of Amsterdam) Andres Lozano (University of Toronto) Cameron McIntyre (Case Western Reserve University) Christoph M. Michel (University of Geneva) Bart Nuttin (KU Leuven) Urs Ribary (Simon Fraser University) Günter Schiepek (Paracelsus Medical University) Wolf Singer (Max Planck Institute for Brain Research) Dimitri van de Ville (University of Geneva) Veerle Visser-Vandewalle (University Hospital of Cologne) Jürgen Voges (Otto-von-Guericke-University Magdeburg) We are intentionally limiting attendance in order to ensure a collegial atmosphere with excellent discussion. More information can be found on these websites http://bit.ly/1JVElkf and https://dbs.veomed.net/. Hope to see you in Cologne! With kind regards, Row Hashemiyoon Rowshanak Hashemiyoon, PhD Chief, Behavioral Neurophysiology and Computational Neuroscience Klinik für Stereotaxie und Funktionelle Neurochirurgie Universitätsklinikum Köln Kerpener Str. 62 D - 50937 Köln Email: row.hashemiyoon(a)uk-koeln.de<mailto:row.hashemiyoon@uk-koeln.de> http://www.uk-koeln.de/de/stereotaxie

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PhD Position in Deep Learning & Visual Neuroscience
by Paul Zhutovsky Aug. 27, 2015

Aug. 27, 2015

Hi there, we at EyeQuant, a visual neuroscience / machine learning startup based in Berlin have teamed up with a Marie Curie training network to offer a fully salaried PhD candidate position at the rapidly advancing intersection of Deep Learning, Computer Vision and Visual Neuroscience, starting as soon as possible. This is a really unique opportunity to obtain a PhD through a prestigious programme while working with and at a successful technology software startup, enabling you to simultaneously advance your career prospects both inside and outside of academia. Your supervisor and PI will be neuroscientist and EyeQuant co-founder Prof. Dr. Peter König, who is the Director of the Institute of Cognitive Science and Head of the Neurobiopsychology Lab at the University of Osnabrück, Germany. You will be based in EyeQuant’s Berlin HQ, with regular trips to our Lab in Osnabrück. You can find more details and next steps here: http://www.eyequant.com/#!/jobs Please note that in order to be eligible for the MARIE SKŁODOWSKA-CURIE grant, you must not have carried out your main research activity for more than 12 months in Germany in the previous 36 months.

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Postdoctoral position in dendritic modelling, Poirazi lab, Crete
by Yiota Poirazi Aug. 27, 2015

Aug. 27, 2015

Can you please post this job opening in my lab to the list? Thank you! Yiota Poirazi ----------------------------------------- 1-2 Postdoctoral positions funded by the* ERC Starting Grant dEMORY <http://www.demory.gr/>*will be available as of* October 1st 2015* (the start date is flexible) at IMBB-FORTH <http://www.imbb.forth.gr/> in Crete, in the lab of Dr. *Panayiota Poirazi*. <http://www.dendrites.gr/> *Indicative application deadline: September 25th, 2015 (applications will be continuously screened until the positions are filled).* · Available for 2 years, with a *yearly *salary of 30,000-36,000 € (with benefits), depending on experience and career stage. · *Requirements: *Expertise in computational neuroscience, preferably in compartmental modeling and neural/dendritic computations. *THE PROJECT: Dissecting the Role of Dendrites in Memory* While memory is a function that has attracted the interest of the scientific community for several years, little is known about the rules underlying memory formation in the brain. Until recently, the single neuron was considered the main processing unit of the brain and memories were believed to be stored exclusively through plasticity modifications that take place in the synapses, the connecting sites between neurons. Over the last decade however, emerging evidence suggests that the neuron is no longer the key processing unit of the brain. The dendrites of individual neurons, which were thought as merely passive devices that allow neuronal communication, are currently the no 1 candidate for this role. The goal of this work is to characterize the role of dendrites in learning and memory processes so as to formulate a unifying theory regarding their contribution in memory formation across brain regions and abstraction levels. This will be achieved via the development of computational models that start at the single cell level and expand to the microcircuit and the network level, while varying in their degree of biophysical detail. Models will express a distinct memory function, specific to the region they belong to: the hippocampus the prefrontal cortex or the amygdala. By manipulating the biophysical, anatomical and plasticity properties of dendrites and tracking the effect on memory, the project aims to infer the key rules by which these thin structures shape mnemonic processes. These rules will then form the basis for deducing theoretical abstractions of trainable neurons with dendrites. The project has been running since 2012 and has already produced a number of outcomes which can be found at the following web sites: *www.demory.gr* <http://www.demory.gr/>*, * *www.dendrites.gr* <http://www.dendrites.gr/> *IMBB-FORTH* The Foundation for Research and Technology-Hellas <http://www.forth.gr/> (FORTH) is one of the top European Research Centers. It has ranked 1st in terms of high impact publications in Greece and 12th in the number of FP7 grants in Europe. It should be noted that since the establishment of the ERC grant scheme in 2007, a total of 39 awards have been made to scientists working in Greek Institutions and 11 of them are located in Institutes of FORTH. The Institute of Molecular Biology and Biotechnology <http://www.imbb.forth.gr/> (IMBB) at FORTH is the top Biological Institute in Greece, in terms of high quality personnel, publications, infrastructure and competitive grants. IMBB-FORTH is located in Heraklion, one of the most ancient and historical Greek cities, on the picturesque island of Crete. Crete, the homeland of major artists, such as El Greco and Nikos Kazantzakis, impressively combines the outstanding geophysical variety (forests, mountains, gorges, and beaches) with its rich history of thousands of years, resulting in the well-known Cretan culture and cuisine. *THE POIRAZI LAB* The Computational Biology Laboratory <http://www.imbb.forth.gr/people/poirazi/> at IMBB-FORTH performs research that is at the forefront of Computational Neuroscience. The work of Dr. Poirazi led to several high impact publications, some of which have shaped the field of dendritic computations. Her work received prestigious awards, including the EMBO Young Investigator Award in 2005, 2 Marie Curie Fellowships, a scientist-of-the year award in Greece in 2012, a European Research Council (ERC) starting grant in 2012, a nomination by EMBO to AcademiaNet—portal for outstanding female scientists in Europe (2013), and the "Manolis Christofides" Young Cypriot Investigator award in 2014. She is named Young Scientist of the World Economic Forum for its Annual Meeting of the New Champions in 2014 and 2015. She is a member of the Young Academy of Europe since 2015 and currently the Chair of the FENS-KAVLI Network of Excellence <http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/> whose aim is to promote Neuroscience research and science policy in Europe and beyond. *TO APPLY:* Candidates that match the required profile will be continuously interviewed until the positions are filled. Candidates should send a *resume and two (2) reference letters* to *poirazi[at]imbb.forth.gr <http://imbb.forth.gr/>*. If possible, recommendations should be sent by the referees. -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr Chair, FENS-Kavli Network of Excellence <http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/>

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Interdisciplinary post-doctoral position in cognitive neuroscience
by Schurger Lab Aug. 26, 2015

Aug. 26, 2015

Brain-behavior forecasting: Neural antecedents of spontaneous self-initiated movement and the forecasting of behavior from brain activity Interdisciplinary post-doctoral position in cognitive neuroscience Starting date: Spring 2016 or Fall 2016 Duration: 2 years (renewable for one additional year) The French Institute of Health and Medical Research (INSERM) invites applications for a post-doctoral position in the Cognitive Neuroimaging Group, at the NeuroSpin Research Center near Paris, France, as part of the research team of Dr. Aaron Schurger. The Schurger lab focuses on understanding how decisions are made and actions initiated spontaneously, without an external sensory cue, and how time series of neural activity (now) can be used to forecast behavior (seconds or minutes from now). We pursue this research using a combination of behavioral experiments, neuroimaging, computational modeling, time-series analyses, and machine learning techniques. We are particularly interested in attracting applicants from meteorology, macroeconomics, machine learning, statistics and other disciplines that involve a mastery of time series analysis, statistical learning, forecasting, and/or forecast verification. Applicants should have a obtained a PhD in a relevant discipline prior to the starting date, and should have strong skills in at least some of the following areas: computer programming (MatLab, Python, C, C++), statistics, signal processing, computational, mathematical, and/or neural network modeling, statistical learning / machine learning / mutivariate pattern classification, time series analysis, forecasting. Resources available at NeuroSpin include Siemens 3T and 7T MRI scanners; high-density EEG (EGI Inc.); Elekta NeuroMag 306-channel MEG (allowing for the simultaneous recording of EEG); eye tracking (available for MRI, MEG, and behavioral experiments); an in-house team of experts in signal processing and statistical learning; a dedicated staff handling subject recruitment, scheduling, and payment; various Nespresso devices; and proximity to Paris. The salary is competitive, being aligned with that offered by Marie Curie fellowships. Applicants should send a CV, letter of motivation (max 2 pages), and a list of three references via e-mail to aaron.schurger(a)gmail.com. Review of applicants will begin immediately, and will continue until the positions are filled. The NeuroSpin Research Center is located on the campus of the CEA-Saclay, near Orsay, about 18 km southwest of Paris. For more information on the NeuroSpin Research Center and the Cognitive Neuroimaging Group: http://www-centre-saclay.cea.fr/fr/Visite-guidee-de-NeuroSpin http://meg-france.in2p3.fr/_lesCentres/Neurospin_en.php http://www-dsv.cea.fr/en/institutes/institute-of-biomedical-imaging-i2bm/de… http://www.unicog.org/pm/pmwiki.php -----------------------------------------------------------------------------

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Re: [Comp-neuro] Two postdoc positions in behavioral neurophsyiology
by Nicho Aug. 25, 2015

Aug. 25, 2015

*Postdoctoral Position in Large-scale Neuronal Ensemble Recordings in Sensori-motor Cortices in Behaving Marmosets* A postdoctoral position is available starting in the fall of 2015 to characterize the spatio-temporal organization of sensori-motor cortical activity at multiple spatial scales associated with upper limb movements of behaving marmosets.This project involves high density multi-electrode array recordings as well as calcium fluorescence imaging from motor and somatosensory cortical sites in marmosets performing natural arm and hand movements.Facilities include a fully equipped electrophysiological laboratory with three 128-channel acquisition systems for multi-electrode recording and stimulation, calcium fluorescence imaging microscopes, and a camera-based, motion capture system.Expertise in multi-site, behavioral electrophysiology and/or calcium imaging is preferred.A strong mathematical, computational, or engineering background is also desirable.Applicants should send a CV and names and addresses of two or three references to Dr. Nicholas Hatsopoulos, Department of Organismal Biology, University of Chicago, 1027 East 57^th Street, Chicago, IL 60637 or by e-mail to nicho(a)uchicago.edu <mailto:nicho@uchicago.edu>. *Postdoctoral Position in Multi-Electrode Cortical Recording in Behaving Animals* A postdoctoral position is available starting in the winter of 2016 to investigate the neural basis of visuo-motor behavior.This project involves high density multi-electrode array recordings from motor and premotor cortical sites in monkeys performing complex arm and hand movements.Experiments seek to understand how large neuronal ensembles (single units and local field potentials) encode different aspects of these movements.These experiments also seek to develop decoding algorithms for possible application in brain-machine interfaces.Facilities include a fully equipped electrophysiological laboratory with three 128-channel acquisition systems, a two-link exoskeletal robot, and a camera-based, motion capture system. Expertise in multi-electrode, behavioral electrophysiology is preferred.A strong mathematical, computational, or engineering background is also desirable.Applicants should send a CV and names and addresses of two or three references to Dr. Nicholas Hatsopoulos, Department of Organismal Biology & Anatomy, University of Chicago, 1027 East 57^th Street, Chicago, IL 60637 or by e-mail to nicho(a)uchicago.edu <mailto:nicho@uchicago.edu>.

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Faculty Position in the Computational Neuroscience of Perception and/or Action
by Ila Fiete Aug. 25, 2015

Aug. 25, 2015

*Faculty Position in the Computational Neuroscience of Perception and/or Action* The Center for Perceptual Systems at The University of Texas at Austin is currently inviting applications for a full-time appointment at the Assistant Professor level. The expected employment date is September 1, 2016. We are particularly interested in candidates who will be able to establish a strong research program in the computational and experimental science of perception or perception and action. Candidates must have a Ph.D. or equivalent from an accredited institution and a demonstrated ability to pursue an independent research program. The successful candidate will hold an appointment in an appropriate university department (e.g., Psychology, Neuroscience, Computer Science, Integrative Biology), will be expected to develop and maintain an extramurally funded research program, will be expected to participate in teaching activities at both the graduate and undergraduate levels, and will exhibit a commitment to service. For more information about the Center for Perceptual Systems see http://www.utexas.edu/cola/centers/cps/. (FRD: 6267) *Applicant Instructions:* Interested applicants should submit a letter of interest, current curriculum vita, representative scholarly publications, statement of research interests, evidence of excellence in teaching to: apply.interfolio.com/30070 <http://apply.interfolio.com/30070>. You should also have a minimum of three referees submit letters of recommendation to: apply.interfolio.com/30070 <http://apply.interfolio.com/30070>. Applications will be considered beginning November 1, 2015 and will continue to be reviewed until the position has been filled. Proof of conferred degree and a background check will be conducted on selected applicants. Position funding is pending final budgetary approval. Questions can be directed to the chair of the search committee, Dr. Wilson Geisler atw.geisler(a)utexas.edu <mailto:w.geisler@utexas.edu>. The University of Texas at Austin and the Department of Psychology strongly value multiculturalism and diversity. -- Ila Fiete Associate Professor Department of Neuroscience | Center for Learning and Memory The University of Texas at Austin http://clm.utexas.edu/fietelab/

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