- 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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Postdoctoral position in dendritic modelling at the Poirazi lab, in Crete, Greece.
by Yiota Poirazi Aug. 24, 2015

Aug. 24, 2015

Apologies for multiple postings. ----------------------------------------- 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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LASCON 2016 - VI Latin American School on Computational Neuroscience (Call for applications)
by Antonio C. Roque Aug. 23, 2015

Aug. 23, 2015

**** Apologies for cross-posting **** VI Latin American School on Computational Neuroscience - LASCON 2016 January 3 - 29, 2016, Sao Paulo, Brazil http://sisne.org/lascon APPLICATION DEADLINE: September 6 2015 SECOND ANNOUNCEMENT Dear Colleagues, Following the success of the previous editions of LASCON (Latin American School on Computational Neuroscience), I am pleased to announce the 6th LASCON, which will take place between January 3 - 29 2016 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. These models will be taught via a combination of theoretical lectures and hands-on tutorials with the use of the programs like neuroConstruct, NEURON, NEST, Brian, the Virtual Brain and Matlab. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Arnd Roth, University College, London, UK Benjamin Lindner, Humboldt-Universitaet zu Berlin, Berlin, Germany Boris Marin, University College, London, UK Christophe Pouzat, Universite Paris Descartes, Paris, France Demian Battaglia, Aix-Marseille Universite, Marseille, France German Mato, Centro Atomico Bariloche, San Carlos de Bariloche, RN, Argentina Hannah Bos, Forschungszentrum Juelich, Juelich, Germany Jannis Schuecker, Forschungszentrum Juelich, Juelich, Germany John Murray, Yale University, New Haven, CT, USA Marco Huertas, University of Texas Medical School, Houston, TX, USA Volker Steuber, University of Hertfordshire, Hatfield, UK William Lytton, State University of New York, New York, NY, USA There will also be some invited lectures. The current list of invited lecturers is: Andre Kohn, Universidade de Sao Paulo, Sao Paulo, SP, Brazil Antonio Galves, Universidade de Sao Paulo, Sao Paulo, SP, Brazil Cesar Renno-Costa, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil Fabio Simoes de Souza, Universidade Federal do ABC, Santo Andre, SP, Brazil Julian Tejada, Universidade Federal de Sergipe, Aracaju, SE, Brazil Leonardo Maia, Universidade de Sao Paulo, Sao Carlos, SC, Brazil Marco Idiart, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil Marcelo Reyes, Universidade Federal do ABC, Santo Andre, SP, Brazil Mauro Copelli, Universidade Federal de Pernambuco, Recife, PE Sakyasingha Dasgupta, RIKEN Brain Science Institute, Wako, Japan Sergio Neuenschwander, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil The number of students is limited to 20 and applications should be made electronically via the application form in the school's web page ( http://sisne.org/?page_id=253&lang=en) Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is September 6 2015 (until midnight, US Pacific time). There is no registration fee for the school. Costs for accommodation will be covered by the school organization. Travel costs have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to it. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2016 is an activity of the FAPESP Center for Neuromathematics (NeuroMat -http://neuromat.numec.prp.usp.br) and is jointly organized by the University of Sao Paulo and the Federal University of ABC. I am looking forward to see you in Sao Paulo. Best regards, A. Roque LASCON Director -- 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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CFP :: ISACS 2015 - Intl. Symposium on ATTENTION IN COGNITIVE SYSTEMS :: at IROS 2015 (Hamburg, Germany)
by Paletta, Lucas Aug. 23, 2015

Aug. 23, 2015

-------------------------------------------------- FINAL CALL FOR PAPERS 8th International Symposium on ATTENTION IN COGNITIVE SYSTEMS ISACS 2015 (associated with IROS 2015) October 2, 2015, Hamburg, Germany http://isacs2015.joanneum.at/ --------------------------------------------------- DOWNLOAD THE CALL FOR PAPERS http://isacs2015.joanneum.at/wp-content/uploads/2015/05/ISACS2015-CFP-poste… ELECTRONIC SUBMISSION AT https://www.easychair.org/conferences/?conf=isacs2015 associated with the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems http://www.iros2015.org/ IMPORTANT DATES Full paper submission: September 4, 2015 Notification of acceptance: September 10, 2015 Final paper submission: September 18, 2015 Workshop day: October 2, 2015 SCOPE The capacity to attend to relevant information has been part of Artificial Intelligence (AI) systems since the early days of the discipline. Currently, with respect to the design and computational modeling of artificial cognitive systems, selective attention has again become a focus of research, gaining importance for the organization of behaviors, for control and interfacing between sensory and cognitive information processing, and for the understanding of individual and social cognition in humanoid artifacts. While visual cognition plays a central role in human perception, findings from neuroscience and cognitive psychology have informed us on the perception-action nature of cognition. In particular, the embodiment in sensory-motor intelligence requires a continuous spatio-temporal interplay between interpretations from various perceptual modalities and the corresponding control of motor activities. In addition, the process of selecting information from the incoming sensory stream, in tune with contextual processing at the task and global levels, becomes a challenging control issue within the viewpoint of focused attention. Attention systems must operate at many levels and not only at interaction of bottom-up world interpretation and top-down information selection. Selective attention can be considered as part of the core of artificial cognitive system. These insights have already resulted in paradigm changes in several AI-related disciplines, including behavior-based robotics and computational modeling of animals. In engineering, the development of enabling technologies such as autonomous robot systems, miniaturized mobile - even wearable - sensors, and ambient intelligence systems involves the real-time analysis of very large quantities of data that have to be processed in an intelligent way to provide "on time delivery" of the required relevant information. This information has to indicate what needs to be paid attention to and how to respond to the target of attention in a meaningful way. Topics of interest include, but are not limited to, the following: Techniques, modelling, and concepts - Computational architectures for attention - Modelling of visual and auditory attention - Attention in multimodal information fusion - Biologically inspired attention - Attentive control in robotic systems - Aspects of attention in cognitive psychology, neuroscience, and philosophy - Attention and control of machine vision processes - Etc. Application related topics of interest - Robotic Systems - Human-robot interaction - Attentive multimodal interfaces - Autonomous intelligent systems - Video surveillance - Video and image retrieval - Usability research - Etc. SYMPOSIUM CHAIRS Lucas Paletta, Joanneum Research, Austria Simone Frintrop, University of Bonn, Germany Bilge Mutlu, University of Wisconsin-Madison, WI, USA PROGRAM COMMITTEE Ulrich Ansorge, University of Vienna, Austria Christian Balkenius, Lund University, Sweden Anna Belardinelli, University of Tübingen, Germany Ralf Engbert, University of Potsdam, Germany Dietmar Heinke, University of Birmingham, UK Eileen Kowler, Rutgers University, USA Bärbel Mertsching Univ. of Paderborn, Germany Giorgio Metta, Italian Institute of Technology, Genoa, Italy Thies Pfeiffer, University of Bielefeld, CITEC, Germany Constantin A. Rothkopf, TU Darmstadt and FIAS, Germany Björn Schuller, Imperial College, UK Jochen Triesch Frankfurt IAS, Germany Hezy Yeshurun University of Tel Aviv, Israel AUTHOR GUIDELINES Submitted papers should be in IEEE format and with length of 3-5 pages. Appropriate style files can be downloaded from http://ras.papercept.net/conferences/support/support.php . Submissions should be in PDF format. The review process will be double-blind; authors should leave the author field and the acknowledgment section blank and cite their own prior work as if they are citing a third party. Authors must indicate double submissions in the submission form. PROCEEDINGS Presentation slides will be published on the ISACS website after the symposium. Authors will also have the option of including their paper in the electronic Symposium Proceedings in arxiv.org (with DOI) until December 2015. PREVIOUS WORKSHOPS OF THE WAPCV/ISACS SERIES ISACS 2014, Bielefeld, Germany (single event)http://isacs2014.joanneum.at/ ISACS 2013, Beijing, China (IJCAI) http://isacs2013.joanneum.at/ WAPCV 2008, Santorini, Greece (ICVS) http://dib.joanneum.at/wapcv2008 WAPCV 2007, Hyderabad, India (IJCAI) http://dib.joanneum.at/wapcv2007 WAPCV 2005, San Diego, USA (CVPR) http://dib.joanneum.at/wapcv2005 WAPCV 2004, Prague, Czech Rep.(ECCV) http://dib.joanneum.at/wapcv2004 WAPCV 2003, Graz, Austria (ICVS) http://dib.joanneum.at/wapcv2003 PRESENTATIONS Regular oral presentations will be 20 minutes in total, including approximately 15 minutes for presentation and 5 minutes for discussion. INVITED TALKS CONFIRMED TO DATE Ali Borji, University of Wisconsin-Milwaukee, WI, USA Michael Zillich, Vienna University of Technology, Austria Fiora Pirri University of Rome, La Sapienza, Italy Christian Balkenius Lund University, Sweden Ralf Engbert University of Potsdam, Germany Jochen Triesch Frankfurt IAS, Germany CONTACT Lucas Paletta, Joanneum Research, Austria lucas.paletta(a)joanneum.at Simone Frintrop, University of Bonn, Germany frintrop(a)cs.uni-bonn.de Bilge Mutlu, University of Wisconsin-Madison, WI, USA bilge(a)cs.wisc.edu

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1st CfP: FUTURE COMPUTING 2016 || March 20 - 24, 2016 - Rome, Italy
by Cristina Pascual Aug. 22, 2015

Aug. 22, 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: - FUTURE COMPUTING 2016, The Eighth International Conference on Future Computational Technologies and Applications The submission deadline is November 3, 2015. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== FUTURE COMPUTING 2016 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS FUTURE COMPUTING 2016, The Eighth International Conference on Future Computational Technologies and Applications General page: http://www.iaria.org/conferences2016/FUTURECOMPUTING16.html Submission page: http://www.iaria.org/conferences2016/SubmitFUTURECOMPUTING16.html Events schedule: March 20 - 24, 2016 - Rome, Italy Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: November 3, 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 FUTURE COMPUTING 2016 Topics (for topics and submission details: see CfP on the site) Call for Papers: http://www.iaria.org/conferences2016/CfPFUTURECOMPUTING16.html ============================================================ Special Sessions on Memristor-based Computation and Technologies Organizers: Ronald Tetzlaff, TU-Dresden, Germany Dietmar Fey Friedrich-Alexander-Universit�t Erlangen-N�rnberg, Germany Alon Ascoli, TU-Dresden, Germany Computational intelligence strategies Cognitive computing; Intelligent computation; Ambient computing; Unconventional computing; Indeterminist computing; Adaptive computation; Autonomic computation; Computation under uncertainty; Chaotic computation; Intentional computing; Anticipative computing; Evolutionary computing Mechanism-oriented computing Spatial computation; Elastic computing; Human-centered computing; Embedded computing; Entertainment computing; Time-sensitive/temporal computing; Soft computing (fuzzy logic, neural computing, evolutionary computation, machine learning, and probabilistic reasoning + belief networks, + chaos theory + learning theory) Large-scale computing strategies Distributed computing; Parallel computing; Macro- and micro-computing; Activity-based computing; Data intensive computing; Resource-constraint computing; Grid computing; Cloud computing; Cluster computing; On-demand computing; Ubiquitous/pervasive computing; Memristor Computing; Unconventional computing; Evolutionary computing Computing technologies Quantum computing; Optical computing; DNA (genetic) computing; Molecular computing; Reversible computing; Billiard Ball computing; Neuronal computing; Magnetic computing; Gloopware computing; Moldy computing; Water wave-based computing; Graphene-based computing Technology-oriented computing Peer-to-Peer computing; Mobile computing; Sensor-based computing; Wireless computing; Trusted computing; Financial computing; Genetic computation ------------------------ FUTURE COMPUTING 2016 Committee: http://www.iaria.org/conferences2016/ComFUTURECOMPUTING16.html ========================

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Postdoctoral positions in Theoretical and Computational Neuroscience at Yale
by McCormick, David Aug. 21, 2015

Aug. 21, 2015

POSTDOCTORAL POSITIONs in Theoretical and Computational Neuroscience The Swartz Center in Theoretical Neurobiology at Yale University invites applications for two postdoctoral positions in Theoretical and Computational Neuroscience. We seek exceptional individuals with a quantitative background who wish to gain neuroscience research experience by collaborating directly with experimental biologists. The candidates will be expected to perform computational studies relevant to one or more laboratories of the Yale Swartz Center (http://medicine.yale.edu/neurobiology/swartz/corelabs.aspx) and will be encouraged to participate in an expanding quantitative biology environment. Candidates must hold a Ph.D. or equivalent degree. Please send a Curriculum Vitae, selected reprints, and a statement of research plans including the laboratories of interest. All application materials should be sent electronically to the following e-mail address: david.mccormick(a)yale.edu<mailto:david.mccormick@yale.edu>. Applications will be reviewed as they are received, but priority will be given to those received on or before September 15th 2015. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. David A. McCormick Professor, Neurobiology | Yale University School of Medicine Dept. Neurobiology 333 Cedar Street | New Haven, CT 06510 | 203.785.5981 www.mccormicklab.org<http://www.mccormicklab.org> | www.neurobiology.org<http://www.neurobiology.org>

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Increased Impact Factor (2014/15) and Table of Contents Alert: Cognitive Computation journal (Springer Neuroscience, USA): Vol.7, No.4 / Aug 2015 Issue
by Dr Amir Hussain Aug. 21, 2015

Aug. 21, 2015

Dear Colleagues: (with advance apologies for any cross-postings) We are delighted to announce the publication of Volume 7, No.4 / Aug 2015 Issue, of Springer's Cognitive Computation journal - www.springer.com/12559 ================================================================ Important News: Increased Impact Factor & Six bi-monthly Journal Issues from 2015! ================================================================ As you will know, Cognitive Computation was selected for coverage in Thomson Reuter’s products and services in 2011. Beginning with V.1 (1) 2009, this publication is now indexed and abstracted in: ♦ Science Citation Index Expanded (also known as SciSearch®) ♦ Journal Citation Reports/Science Edition ♦ Current Contents®/Engineering Computing and Technology ♦ Neuroscience Citation Index® Cognitive Computation received its first Impact Factor (IF) of 1.0 in 2011 The IF for 2014 has increased to 1.44 (Thomson Reuters Journal Citation Reports® 2014) Many congratulations to the editors, reviewers and authors! Want to be part of the growing success? Visit the journal homepage (http:// springer.com/12559) for instructions on submitting your research. ================================= Quarterly to Bi-monthly Issues, from 2015!! ================================= Due to continuously growing number of high quality submissions, the number of Issues has increased from four (quarterly Issues) to six (bi-monthly Issues) each year, starting Feb 2015! ================================================================= The August 2015 Issue comprises an invited paper by Alessandro Vinciarelli and Anna Esposito, et al. titled: Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human–Human and Human–Machine Interactions. This is followed by six regular papers. The full listing of published articles (Table of Contents) for this August 2015 Issue can be viewed here (and also at the end of this message, followed by an overview of the previous Issues/Archive listings): http://link.springer.com/journal/12559/7/4/ <http://link.springer.com/journal/12559/6/4/> A list of the journal's most downloaded articles (which can always be read for FREE) can be found here: http://www.springer .com/biomed/neuroscience/journal/12559?hideChart=1#realtime Other 'Online First' published articles not yet in a print issue can be viewed here: http://www.springerlink.com/content/121361/?Content+Status=Accepted All previous Volumes and Issues of the journal can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 ============================================ Reminder: Cognitive Computation "LinkedIn" Group: ============================================ To further strengthen the bonds amongst the interdisciplinary audience of Cognitive Computation, we have set-up a "Cognitive Computation LinkedIn group", which has over 800 members already! We warmly invite you to join us at: http://www.linkedin.com/groups?gid=3155048 For further information on the journal and to sign up for electronic "Table of Contents alerts" please visit the Cognitive Computation homepage: http://www.springer.com/12559 or follow us on Twitter at: http://twitter.com/CognComput for the latest On-line First Issues. For any questions with regards to LinkedIn and/or Twitter, please contact Springer's Publishing Editor: Marleen Moore: Marleen.Moore(a)springer.com Finally, we would like to invite you to submit short or regular papers describing original research or timely review of important areas - our aim is to peer review all papers within approximately six-eight weeks of receipt. We also welcome relevant high quality proposals for Special Issues - four are already planned for 2015-16 (including for the 7th international BICS'2015 Conference at Hefei, China, 11-13 Dec 2015, see: http://cs.stir.ac.uk/events/bics2015 - for CFPs of other Special Issues, see: http://www.springer.com/biomed/neuroscience/journal/12559?detailsPage=press ) With our very best wishes to all aspiring readers and authors of Cognitive Computation, Professor Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation) E-mail: ahu(a)cs.stir.ac.uk (University of Stirling, Scotland, UK) Professor Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive Computation) (Imperial College, London, UK) http://www.springer.com/12559 NEW: Open Access Springer/BMC journal: Big Data Analytics ( http://www.bdataanalytics.com/) - Now accepting submissions! NEW: Springer Series on Socio-Affective Computing: http://www.springer.com/series/13199 Also consider your work for related Book Series: SpringerBriefs on Cognitive Computation: http://www.springer.com/series/10374 ------------------------------------------------------------------------------------------------- Table of Contents Alert -- Cognitive Computation Vol 7 No 4, August 2015 -------------------------------------------------------------------------------------------------- Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human–Human and Human–Machine Interactions Alessandro Vinciarelli, Anna Esposito, Elisabeth André, Francesca Bonin, Mohamed Chetouani, Jeffrey F. Cohn, Marco Cristani, Ferdinand Fuhrmann, Elmer Gilmartin, Zakia Hammal, Dirk Heylen, Rene Kaiser, Maria Koutsombogera, Alexandros Potamianos, Steve Renals, Giuseppe Riccardi and Albert Ali Salah http://link.springer.com/article/10.1007/s12559-015-9326-z Towards Autonomous Robots Via an Incremental Clustering and Associative Learning Architecture Matthias U. Keysermann, Patrícia A. Vargas http://link.springer.com/article/10.1007/s12559-014-9311-y Visual Attention Model Based Vehicle Target Detection in Synthetic Aperture Radar Images: A Novel Approach Fei Gao, Ye Zhang, Jun Wang, Jinping Sun, Erfu Yang, Amir Hussain http://link.springer.com/article/10.1007/s12559-014-9312-x Correlation Coefficients of Hesitant Fuzzy Sets and Their Application Based on Fuzzy Measures Fanyong Meng, Xiaohong Chen http://link.springer.com/article/10.1007/s12559-014-9313-9 An Arterial Traffic Signal Control System Based on a Novel Intersections Model and Improved Hill Climbing Algorithm Fuyang Chen, Li Wang, Bin Jiang, Changyun Wen http://link.springer.com/article/10.1007/s12559-014-9314-8 Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm Atlas Khan, Li Zheng Xue, Wu Wei, YanPeng Qu, Amir Hussain, Ricardo Z. N. Vencio http://link.springer.com/article/10.1007/s12559-014-9315-7 Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach Basant Agarwal, Soujanya Poria, Namita Mittal, Alexander Gelbukh, Amir Hussain http://link.springer.com/article/10.1007/s12559-014-9316-6 -------------------------------------------------------- Previous Issues/Archive: Overview: -------------------------------------------------------- All previous Volumes and Issues can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 Alternatively, the full listing of the Inaugural Vol. 1, No. 1 / March 2009, can be viewed here (which included invited authoritative reviews by leading researchers in their areas - including keynote papers from London University's John Taylor, Igor Aleksander and Stanford University's James McClelland, and invited papers from Ron Sun, Pentti Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and Tom Ziemke): http://www.springerlink.com/content/1866-9956/1/1/ The full listing of Vol. 1, No. 2 / June 2009, can be viewed here (which included invited reviews and original research contributions from leading researchers, including Rodney Douglas, Giacomo Indiveri, Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann Pulvermuller): http://www.springerlink.com/content/1866-9956/1/2/ The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/3/ The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/4/ The full listing of Vol.2, No. 1 / March 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/1/ The full listing of Vol.2, No. 2 / June 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/2/ The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/3/ The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/4/ The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on: Saliency, Attention, Active Visual Search and Picture Scanning, edited by John Taylor and Vassilis Cutsuridis), can be viewed here: http://www.springerlink.com/content/1866-9956/3/1/ The Guest Editorial can be viewed here: http://www.springerlink.com/content/hu2245056415633l/ The full listing of Vol.3, No.2 / June 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/2/ The full listing of Vol. 3, No. 3 / Sep 2011 (Special Issue on: Cognitive Behavioural Systems, Guest Edited by: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy), can be viewed here: http://www.springerlink.com/content/1866-9956/3/3/ The Guest Editorial for the special issue can be viewed here: http://www.springerlink.com/content/h4718567520t2h84/ The full listing of Vol. 3, No. 4 / Dec 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/4/ The full listing of Vol. 4, No.1 / Mar 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/1/ The full listing of Vol. 4, No.2 / June 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/2/ The full listing of Vol. 4, No.3 / Sep 2012 (Special Issue on: Computational Creativity, Intelligence and Autonomy, Edited by: J. Mark Bishop and Yasemin J. Erden) can be viewed here: http://www.springerlink.com/content/1866-9956/4/3/ The full listing of Vol. 4, No.4 / Dec 2012 (Special Issue titled: "Cognitive & Emotional Information Processing", Edited by: Stefano Squartini, Björn Schuller and Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/4/4/page/1 The full listing of Vol. 5, No.1 / March 2013 Special Issue titled: Computational Intelligence and Applications Guest Editors: Zhigang Zeng & Haibo He, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/1/page/1 The full listing of Vol. 5, No.2 / June 2013 Special Issue titled: Advances on Brain Inspired Computing, Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/2/page/1 The full listing of Vol. 5, No.3 / Sep 2013 Special Issue titled: In Memory of John G Taylor: A Polymath Scholar, Guest Editors: Vassilis Cutsuridis & Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/3/page/1 The full listing of Vol. 5, No.4 / Dec 2013, which includes regular papers (including an invited paper by Professor Ron Sun, Rensselaer Polytechnic Institute, USA, titled: Moral Judgment, Human Motivation, and Neural Networks), and a Special Issue titled: Advanced Cognitive Systems Based on Nonlinear Analysis. Guest Editors: Carlos M. Travieso and Jesús B. Alonso, can be viewed here: http://link.springer.com/journal/12559/5/4/page/1 The full listing of Vol. 6, No.1 / Mar 2014, can be viewed here: http://link.springer.com/journal/12559/6/1/page/1 The full listing of Vol. 6, No.2 / June 2014, can be viewed here: http://link.springer.com/journal/12559/6/2/page/1 The full listing of Vol. 6, No.3 / Sep 2014, can be viewed here: http://link.springer.com/journal/12559/6/3/page/1 The full listing of Vol. 6, No.4 / Dec 2014 (Special Issue on Modeling emotion, behaviour and context in socially believable robots and ICT interfaces, Guest Editors: Anna Esposito, Leopoldina Fortunati, and Giuseppe Lugano) can be viewed here: http://link.springer.com/journal/12559/6/4/page/1 The full listing of Vol. 7, No.1 / Feb 2015 can be viewed here: http://link.springer.com/journal/12559/7/1/ (with the first six papers part of a Special Issue on "Neural Signal Processing", Guest Edited by: Jordi Sole´-Casals, Francois-Benoit Vialatte, Justin Dauwels. The Guest Editorial titled: "Alternative Techniques of Neural Signal Processing in Neuroengineering" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9317-0) The full listing of Vol. 7, No. 2 / April 2015, can be viewed here: http://link.springer.com/journal/12559/7/2/ This comprises a Special Issue on "Sentic Computing", Guest Edited by: E. Cambria and A. Hussain. The Guest Editorial titled: "Sentic Computing" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9325-0 The full listing of Vol. 7, No. 3 / June 2015, can be viewed here: http://link.springer.com/journal/12559/7/3/ ________________________________ -- The University is ranked in the QS World Rankings of the top 5% of universities in the world (QS World University Rankings, 2014) The University of Stirling is a charity registered in Scotland, number SC 011159.

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Chaired Professors in Mathematical Psychology/Cognitive Sciences at UC Irvine
by Jeff Krichmar Aug. 21, 2015

Aug. 21, 2015

Dear Comp-Neuro colleagues, The following job posting may be of interest to many of you. ---------- University of California, Irvine Chaired Professors in Mathematical Psychology/Cognitive Sciences The Department of Cognitive Sciences (www.cogsci.uci.edu) at the University of California, Irvine (UCI) invites applications for faculty positions associated with the Falmagne Endowed Chairs in Mathematical Psychology/Cognitive Sciences. Applicants should have an exemplary track record of implementing innovative mathematical approaches to important questions in psychology or cognitive science. We are especially interested in candidates at the advanced Associate or Full Professor level whose research focus is in either human cognition or visual perception, and related areas of specialization. Information about the Falmagne Endowed Chairs can be found at: http://www.cogsci.uci.edu/falmagnechairs.php. The online application includes: A cover letter, CV, research and teaching statements, 3 major publications, and contact information for 3-5 referees. Interested candidates can apply for the position at: https://recruit.ap.uci.edu/apply/JPF03041. Application review will commence on December 1, 2015 and continue until filled. 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. ---------- Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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CfP: ICLR 2016 - Conference Track
by Hugo Larochelle Aug. 20, 2015

Aug. 20, 2015

------------------------------------------------------------------- 4th International Conference on Learning Representations (ICLR 2016) ------------------------------------------------------------------- Website: http://www.iclr.cc/ Submission deadline for title and abstract: November 12th, 2015 Submission deadline for arXiv paper ID: November 19th, 2015 Location: Caribe Hilton, San Juan, Puerto Rico, May 2-4, 2016 Overview -------- It is well understood that the performance of machine learning methods is heavily dependent on the choice of data representation (or features) on which they are applied. The rapidly developing field of representation learning is concerned with questions surrounding how we can best learn meaningful and useful representations of data. We take a broad view of the field, and include in it topics such as deep learning and feature learning, metric learning, kernel learning, compositional models, non-linear structured prediction, and issues regarding non-convex optimization. Despite the importance of representation learning to machine learning and to application areas such as vision, speech, audio and NLP, there was no venue for researchers who share a common interest in this topic. The goal of ICLR has been to help fill this void. A non-exhaustive list of relevant topics: - unsupervised, semi-supervised, and supervised representation learning - metric learning and kernel learning - dimensionality expansion - sparse modeling - hierarchical models - optimization for representation learning - learning representations of outputs or states - implementation issues, parallelization, software platforms, hardware - applications in vision, audio, speech, natural language processing, robotics, neuroscience, or any other field The program will include keynote presentations from invited speakers, oral presentations, and posters. As usual, ICLR will feature two tracks: a Conference Track and a Workshop Track. However, this year, conference and workshop submissions will be reviewed separately, in two different periods. This call for paper is thus only for conference contributions. Workshop submissions will be received a few months before the conference and be subject to a lighter review. A future call for papers will be sent with more details on the Workshop Track. Also, the reviewing period for conference submissions will be separated into two short rounds (normally 2 reviews in the first round, 1 review in the second round). The first round will run as usual. The second round reviews, however, in addition to evaluating the submissions, will be required to include comments on the content of the first round reviews. By asking for such comments, we hope to ensure a minimum of discussion for every paper, and favour interactions that might either identify factual errors early or reveal a clearer consensus. Note that some of the submitted papers that are not accepted to the Conference Track will be invited to be presented under the Workshop Track. ICLR Submission Instructions ---------------------------- 1. By November 12th, authors are asked to enter in openreview.net the title, abstract and author list for their paper. 2. Then, as soon as possible, authors must post on arXiv their submission: http://arxiv.org . 3. Finally, by November 19th, authors must update their submission in openreview.net with the arXiv ID of their paper. Note that there can be up to 3 days of delay between sending a manuscript on arXiv and receiving your arXiv ID. It is thus important to post your submission on arXiv early. Note also that you can always update your submission on arXiv later on, anytime during the review process. Submissions without an arXiv ID after November 19th will be automatically removed from openreview.net. For more information on paper preparation, including style files and the URL for the openreview ICLR 2016 website, please see http://www.iclr.cc/doku.php?id=iclr2016:main Submission deadline: November 12th for title and abstract, November 19th for arXiv ID. Notes: i. Regarding the conference submission's 6-9 page limits, these are really meant as guidelines and will not be strictly enforced. For example, figures should not be shrunk to illegible size to fit within the page limit. However, in order to ensure a reasonable workload for our reviewers, papers that go beyond the 9 pages should be formatted to include a 9 page submission, with supplementary material appended at the end of the manuscript and clearly marked as an appendix, which will be optionally reviewed. ii. Paper revisions will be permitted, and in fact are encouraged, in response to comments from and discussions with the reviewers (see "An Open Reviewing Paradigm" below). An Open Reviewing Paradigm -------------------------- 1. Submissions to ICLR are posted on arXiv prior to being submitted to the conference. 2. Authors submit their paper to either the ICLR conference track or workshop track via the openreview.net ICLR 2016 website. 3. After the authors have submitted their papers via openreview.net, the ICLR program committee designates anonymous reviewers as usual. 4. The submitted reviews are published without the name of the reviewer, but with an indication that they are the designated reviews. 5. Anyone can openly (non-anonymously) write and publish comments on the paper. Anyone can ask the program chairs for permission to become an anonymous designated reviewer (open bidding). The program chairs have ultimate control over the publication of each anonymous review. Open commenters will have to use their real names. 6. Authors can post comments in response to reviews and comments. They can revise the paper as many times as they want, possibly citing some of the reviews. Reviewers are expected to revise their reviews in light of paper revisions. 7. The review calendar includes a generous amount of time for discussion between the authors, anonymous reviewers, and open commentators. The goal is to improve the quality of the final submissions. 8. The ICLR program and area chairs will consider all submitted papers, comments, and reviews and will decide which papers are to be presented in the conference track, which will be invited to be presented in the workshop track, and which will not appear at ICLR. 9. Papers that are presented in the workshop track or are not accepted will be considered non-archival, and may be submitted elsewhere (modified or not), although the ICLR site will maintain the reviews, the comments, and the links to the arXiv versions. Organizers ---------- Yoshua Bengio, Université de Montreal, General Chair Yann LeCun, New York University and Facebook, General Chair Hugo Larochelle, Twitter and Université de Sherbrooke, Senior Program Chair Brian Kingsbury, IBM Watson Group, Program Chair Samy Bengio, Google, Program Chair Contact ------- The organizers can be contacted at iclr2016.programchairs(a)gmail.com

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Postdoc position in Computational Brain Modelling at Ulster University UK
by McDaid, Liam Aug. 19, 2015

Aug. 19, 2015

Applications are invited for the post of Research Associate (RA) in Computational Brain Modelling (Ref: 1483428) based at the Intelligent Systems Research Center, Ulster University, UK. The RA post is for a 3½ year duration and is part of a collaborative project funded by EPSRC: our partners are the Department of Electronics, University of York. The RA post holder will be part of a team that aims to develop a brain-inspired self-repairing algorithm and subsequently map this self-repairing algorithm to hardware robotic controllers at the University of York. At Ulster we have previously shown that astrocyte cells interact with neurons to detect when a fault has occurred in the connections making up a network of neurons and how this interaction can oversee a repair strategy (http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001695) The RA post will work primarily on the development of a computational model that captures the interactions between neurons and astrocytes, and hence the repair process, and will interact with other team members to translate the self-repair strategy to hardware computing systems and robot controllers based at the University of York. The RA post is fixed-term based at Ulster University and runs from November 2015 until April 2019. The salary for the RA post is £26,289 - £29,568 and the closing date for applications is the 4th September 2015. Further information in relation to the post can be found on the following link: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5043781&ownertype=fair… or you can contact Prof. Liam McDaid at lj.mcdaid(a)ulster.ac.uk<mailto:lj.mcdaid@ulster.ac.uk> We prefer to issue and receive applications via our on-line recruitment website at www.ulster.ac.uk/jobs<http://www.ulster.ac.uk/jobs> Hard copy applications can be obtained by telephoning 028 7012 4072 ________________________________ 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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Phd or Post-Doc Robot Learning positions at INRIA Bordeaux
by Manuel Lopes Aug. 18, 2015

Aug. 18, 2015

To all interested, We are seeking applications for phd students (3years) and/or postdocs (2.5years) in the area of artificial intelligence and robot learning at Inria. Our interests are in developing machines that are able to learn novel skills and capable of natural and robust interaction with people. We focus our research on intelligent exploration techniques, robot learning and automatic learning of representation for artificial intelligence. One position is open to work in an international research project (with partners from Canada, Sweden, Spain, Belgium and France). The candidates will be involved in research in the areas of deep learning of action and state representations, and interactive machine learning. The candidates must have strong mathematical competences, experience in machine learning and programming proficiency (e.g. C/C++, Matlab, Python or Java). Knowledge of deep learning and/or experience with real robots is a plus. Inria is a highly reputed french national center for computer science and automation. It has more than 3000 researchers and is distributed among 8 centers. These positions are for the Flowers Team at Inria Bordeaux Sud-Ouest and will involve travelling for collaborating with the project partners. Bordeaux is a growing city with a wonderful natural landscape, a very active city life and with a booming economy. Is has a very privileged location: 3h from Paris, 2h from Toulose, 30 minutes from the sea and 2hours from the Pyreness mountains. It has very good travel connections with fast trains and international flights including low-cost companies. Interested candidates should send a detailed CV, and email addresses of three references to Manuel Lopes at manuel.lopes(a)inria.fr . Review of applications will continue until the position is filled. Desired starting date is 1 of November 2015. http://flowers.inria.fr http://3rdhandrobot.eu/ http://www.inria.fr http://www.bordeaux.fr/ --------------------------------------------------------------- Manuel Lopes - Researcher flowers.inria.fr/mlopes FLOWERS team Phone: +33524574179 INRIA Bordeaux Sud-Ouest, Bat. A29 351 Cours de la Libération 33405 Talence, Cedex, France ---------------------------------------------------------------

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MSc program in Neural Systems and Computation - University of Zurich and ETH Zurich
by Michael Pfeiffer Aug. 17, 2015

Aug. 17, 2015

We are inviting applications for the MSc program in Neural Systems and Computation, an interdisciplinary program offered as a Joint Master Program by the University of Zurich and ETH Zurich, Switzerland. The program offers a theoretical and laboratory training in neural computation and systems neuroscience. It offers hands-on knowledge of data gathering, analysis and scientific presentation. Students join an international and interdisciplinary research community with expertise in neuroinformatics, advanced experimental techniques and neuromorphic engineering. Further information can be found on our homepage http://www.nsc.uzh.ch. We offer a specialized full-time Masters program open to students with a Bachelor’s degree in the following disciplines: neurosciences, information technology, electrical engineering, biology, physics, computer sciences, chemistry, mathematics, and mechanical/chemical/control engineering. The core courses (all offered in English) provide a common foundation for students with different educational backgrounds, and cover the following: 1. Systems Neurosciences 2. Neural Computation and Theoretical Neuroscience 3. Neurotechnologies and Neuromorphic Engineering The application deadline for students starting in Spring Semester 2016 is *September 15th 2015*. Details about the application process and required documents can be found here: http://www.nsc.uzh.ch/?page_id=10 Mentors of the program are Richard Hahnloser, Kevan Martin, Daniel Kiper, Giacomo Indiveri, Ruedi Stoop, Tobi Delbruck, Shih-Chii Liu, Klaas Enno Stephan, Fritjof Helmchen, Jean-Pascal Pfister, Fatih Yanik, Michael Pfeiffer, Matthew Cook, Valerio Mante, Arko Ghosh, and Wolfger von der Behrens. The program is affiliated with the Mathematics and Natural Sciences Faculty (MNF) at the University of Zurich (UZH) and the Information Technology and Electrical Engineering Department (D-ITET) of the ETH Zurich. All applications are handled by the University of Zurich. Application documents should be sent by email to nsc(a)ini.uzh.ch. Best regards, Michael Pfeiffer -- ========================================= Dr. Michael Pfeiffer Postdoc, Program coordinator NSC Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 CH-8057 Zurich, Switzerland Tel. +41 44 635 30 45 Fax +41 44 635 30 53 pfeiffer (at) ini.phys.ethz.ch http://www.ini.uzh.ch/~pfeiffer/ =========================================

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Update 1: 2016 IEEE World Congress on Computational Intelligence
by IEEE WCCI 2016 Aug. 17, 2015

Aug. 17, 2015

Dear Colleagues, Below please find some updated information about 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016). 2016 IEEE World Congress on Computational Intelligence Vancouver Convention Centre, Vancouver, Canada 25-29 July 2016 www.wcci2016.org-------~*******~----------- Call for Special Sessions -------~*******~----------- Special session proposals are invited to the 2016 IEEE WCCI. Special session proposals should include the title, aim and scope (including a list of main topics), and the names of the organizers of the special session, together with a short biography of all organizers. A list of potential contributors will be very helpful. All special sessions proposals should be submitted to the Special Sessions Chairs. Click here to know more about provisionally accepted IEEE WCCI 2016 special sessions ( http://www.wcci2016.org/spsessions.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. ---------------~*******~------------------- Indexing of Conference Proceedings ---------------~*******~------------------- The IEEE WCCI conference proceedings (including previous IJCNN, FUZZ-IEEE and CEC) have been included in the IEEE Xplore and traditionally indexed by other important databases, such as Web of Knowledge ISI Thomson, SCOPUS, EI, etc. --------~****~-------- Venue Information --------~****~-------- Pinnacle Vancouver Harbourfront Hotel and Vancouver Marriot Pinnacle Downtown are the IEEE WCCI 2016 designated congress hotels. Special congress room rates are avaiable now. Make your reservations early to enjoy these special room rates (http://www.wcci2016.org/venue.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 *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, KC Tan and Gary G. Yen 2016 IEEE WCCI General Co-Chairs

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High performance computing workshop at SFN 2015 Annual Meeting
by Ted Carnevale Aug. 17, 2015

Aug. 17, 2015

What: This workshop is intended for neuroscientists who are engaged in computationally intensive tasks such as large modeling projects or analysis of neuroimaging data. With support from NSF, we are developing and expanding the Neuroscience Gateway Portal (NSG, http://www.nsgportal.org/) which eliminates most administrative and technical barriers involved in using high performance computing (HPC) resources. NSG offers free computing time and has a simple user interface so you can focus on productive research. Software currently installed includes the Freesurfer Software Suite, the Virtual Brain Empirical Data Pipeline (Schirner et al., 2015), and simulators such as Brian, MOOSE, GENESIS3, NEST, NEURON, and PyNN. This workshop will combine didactic presentations by NSG's developers, discussions with experienced users, and hands on instruction in how to use the portal. Where: Downtown Chicago, site TBA. When: 9AM - Noon on Saturday, October 17, 2015. Speakers: Amit Majumdar, Subha Sivagnanam, Padraig Gleeson, Simon Rothmeier, Ted Carnevale Registration deadline: Friday, October 2, 2015 For more information 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] References: Schirner, M., Rothmeier, S., Jirsa, V.K., McIntosh, A.R., Ritter, P.. An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data. Neuroimage 117:343-357, 2015.

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Call for Papers: 7th International Conference on Brain Inspired Cognitive Systems (BICS), 11-13 Dec 2015, Hefei, China
by Dr Amir Hussain Aug. 16, 2015

Aug. 16, 2015

BICS'2015 Call for Papers (with journal ONLY conference proceedings - see details below!) With apologies for any cross-postings, please help circulate this CFP to friends and colleagues. Thank you in advance. BICS'2015 CFP website: http://www.cs.stir.ac.uk/events/bics2015/cfp_e.html (ALL papers accepted (after a rigorous peer-review process) for presentation at the Conference will be published in the leading ISI-SCI indexed Springer journal: Cognitive Computation (http://springer.com/12559) as a multi-part Special Issue! - for more details, see the conference website, and below) Introduction to BICS'2015: The seventh 2015 International Conference on Brain Inspired Cognitive Systems (BICS 2015) will be held on December 11-13, 2015, in Hefei, Anhui, China, as a sequel of BICS 2004 - 2013. The first BICS 2004 was held in Stirling, Scotland, UK and the last BICS 2013 was held in Beijing, China, 9-13 June 2013 (http://www.conference123.org/bics2013/) The aim of BICS 2015 is to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art of brain inspired cognitive systems research and applications in diverse fields. The conference will feature plenary lectures given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular and timely topics. Proceedings Information: BICS 2015 will be unique in that there will be no conference proceedings. ALL accepted papers will be published (following a rigorous peer review process) in the leading ISI-SCI indexed Springer journal: Cognitive Computation (http://springer.com/12559) as a multi-part Special Issue. Conference Location The conference will be held in Anhui University in Hefei, China. Hefei, formerly known as Hofei, Luzhou, or Luchow, is the capital and largest city of Anhui Province in Eastern China. Hefei Xinqiao International Airport provides scheduled passenger service to major airports in China and international cities as well. Hefei plays an important role in scientific research in China. It has seven national laboratories, second only to Beijing. We would be delighted to welcome you to Hefei in December. For more details on the venue, including travel information, see: http://www.cs.stir.ac.uk/events/bics2015/venue_e.html Important Dates Full paper submission: 15 September 2015 First notification: 31 October 2015 Conference Dates: 11-13 December 2015 Revised/final manuscripts due: 31 December 2015 BICS'2015 Issue Publication Date: early 2016 Paper Submission: All prospective authors are invited to submit full-length papers (10-15 pages maximum) through the online Springer submission system (selecting the BICS2015 Special Issue), with a covering letter indicating the paper is being submitted for BICS'2015 (hhttp://www.editorialmanager.com/cogn/ <http://www.editorialmanager.com/cogn/>) - please indicate the relevant BICS Symposium name (see topics list on the Conference website). The submission of a paper implies that the paper is original and has not been submitted under review or copyright protected elsewhere. The authors of accepted papers will have an opportunity to revise their papers. If the paper is accepted, at least one of the authors listed on the paper (or his/her representative) must attend the conference and present the paper. On behalf of: BICS'2015 General co-Chairs: Professor Amir Hussain (University of Stirling, Scotland, UK) and Professor Bin Luo (Anhui University, China) and BICS'2015 Organizing Committee ( http://www.cs.stir.ac.uk/events/bics2015/committee_e.html ) For any enquiries, please email: ahu(a)cs.stir.ac.uk or luobin(a)ahu.edu.cn -- The University is ranked in the QS World Rankings of the top 5% of universities in the world (QS World University Rankings, 2014) The University of Stirling is a charity registered in Scotland, number SC 011159.

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The Virtual Brain Node #3 Workshop - REGISTRATION NOW OPEN
by Tanya Brown Aug. 14, 2015

Aug. 14, 2015

** *NODE#3* : Training Workshop Chicago, IL - SfN 2015 Conference *October 16, 2015* www.thevirtualbrain.org/node3 In this workshop we will explain the fundamental principles of full brain network modelling using the open source neuroinformatics platform *The Virtual Brain (TVB)*. This simulation environment enables the biologically realistic modelling of network dynamics using Connectome-based approaches across different brain scales. Configurable brain network models generate macroscopic neuroimaging signals including functional MRI (fMRI), intracranial and stereotactic EEG, surface EEG and MEG for single subjects. Researchers from different backgrounds can benefit from an integrative software platform including a supporting framework for data management (generation, organization, storage, integration and sharing) and a simulation core written in Python. The architecture of TVB supports interaction with MATLAB packages, for example, the well-known Brain Connectivity Toolbox. *Workshop Goals:* to create a conceptual and technical understanding of the various network modelling approaches in TVB; familiarization with TVB graphical user interface, Python and Matlab programming environment and data formats. *Workshop Format: * lectures and hands-on tutorials - *space is limited** ================================================================== *For more details and registration, please visit our website <http://www.thevirtualbrain.org/>: * *http://www.thevirtualbrain.org/node3 <http://www.thevirtualbrain.org/node3>* ================================================================== *Important Dates:* - August 10, 2015 – Registration Open - *space is limited** - October 9, 2015 – Registration Closed - October 16, 2015 – TVB NODE#2 Training Workshop *Location:* Hyatt Regency Chicago Downtown Hotel <http://chicagoregency.hyatt.com/en/hotel/home.html> 151 East Wacker Drive Chicago, IL, 60601, USA *Note: This is a Society for Neuroscience (SfN) 2015 conference official satellite event.* With our best regards, *The TVB Team <http://www.thevirtualbrain.org/tvb/zwei/team>* -- *Tanya Brown* Program Manager - The Virtual Brain Rotman Research Institute at Baycrest 416-785-2500 x 2782 tbrown(a)research.baycrest.org

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Deep Learning and Continuous Time Computing - Track at SAC 2016 - Second CFP
by Davide Zambrano Aug. 14, 2015

Aug. 14, 2015

Dear all, This is a Second Call for Paper to join our track at SAC 2016. The deadline for the submission of papers and SRC research abstract is September 11, 2015. Apologies for cross posting. Best regards. ACM Symposium on Applied Computing (SAC) 2016 The 31st Annual ACM Symposium on Applied Computing in Pisa, Italy, April 3 – 8, 2016. (webpage : http://www.acm.org/conferences/sac/sac2016/ <http://www.acm.org/conferences/sac/sac2016/>) Deep Learning and Continuous-Time Computing (webpage : http://event.cwi.nl/sac2016/ <http://event.cwi.nl/sac2016/>) Topics of interests: Deep learning Continuous-time learning Spiking Neural Networks Asynchronous computation Large scale parallel simulations and computing Neuromorphic computing Important Dates are published on the Conference <http://www.acm.org/conferences/sac/sac2016/>or Track <http://event.cwi.nl/sac2016/>webpages. Track Program Committee: Sander Bohte, CWI Amsterdam (NL) (Track Chair — email to s.m.bohte(a)cwi.nl <mailto:s.m.bohte@cwi.nl> ) Davide Zambrano, CWI Amsterdam (NL) (Track Chair — email to d.zambrano(a)cwi.nl <mailto:d.zambrano@cwi.nl> ) Thomas Nowotny, University of Sussex (UK) Stephen Furber, University of Manchester (UK) Karl Tuyls, University of Liverpool (UK) Shih-Chii Liu, University of Zurich/ETH Zurich (CH) Robert Babuska, Delft University of Technology (NL) Andre Gruning, University of Surrey (UK) Max Welling, University of Amsterdam (NL) Narayan Srinavasa, HRL Laboratories LLC (USA) Eleni Vasilaki, University of Sheffield (UK) Giacomo Indiveri, University of Zurich/ETH Zurich, (CH) Important notice: Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library. Dr. Davide Zambrano PostDoc at CWI, Amsterdam (NL) MSc in Biomedical Eng. - PhD in Biorobotics D.Zambrano(a)cwi.nl Centrum Wiskunde & Informatica (CWI) Science Park, 123 1098 XG - Amsterdam

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Reminder: Call for Papers: "Intelligent Music Systems and Applications" (Special Issue of the ACM Transactions on Intelligent Systems and Technology)
by perfe Aug. 14, 2015

Aug. 14, 2015

Please re-distribute (and accept our apologies for any cross-posting) We are happy to announce the following call for papers: =========================================================== ACM Transactions on Intelligent Systems and Technology Special Issue on Intelligent Music Systems and Applications http://www.cp.jku.at/journals/tist_imsa_2015_cfp.html =========================================================== With the advent of music information retrieval (MIR), intelligent technologies have become an essential part of music systems and applications. This is evidenced by today’s omnipresence of digital online music stores and streaming services, which rely on music recommenders, automatic playlist generators, and music browsing interfaces. A large amount of MIR research leading to intelligent music applications deals with the extraction of musical and acoustic information directly from the audio signal using signal processing techniques. Other strategies exploit contextual aspects of music, not present in the signal, for example, community meta-data and trails of user interaction, as found, for instance, on social media platforms. Recently, also user-centric aspects are being considered, such as affect, personality, and user context. Intelligent music systems have also been developed as music creation tools, in which case the modeling of a composer's preferences or of genre/stylistic features are required. Topics of interest ------------------ This special issue addresses all aspects of music information, i.e., music content, context, and user aspects. Highest quality research that has not been published, nor is under review elsewhere, targeting one or more of the following topics in the context of intelligent music systems and applications is welcome: • Music Information Systems • Music Recommendation and Playlist Generation • Intelligent Music and Audio Browsing Interfaces • Games Based on Intelligent Music Analysis • Automatic Accompaniment or Real-time Tracking of Performances • Music Synthesis • Automatic Composition • Automatic Lyrics Generation • MIR in the Music Production Domain • Semantic Content Analysis, Knowledge Extraction, and Music Indexing • Collaborative Tags, Social Media Mining, Network Analysis • User Modeling and Personalized Music Systems • Personality, Emotion, and Affect • Hybrid Systems using Content and Context • Multimedia Approaches to MIR and Cross-media Recommendation • Large-Scale Music Retrieval • Evaluation, Mining of Ground Truth, and Data Collections Schedule -------- Paper Submission Deadline September 27, 2015 Notification after First Review Cycle December 20, 2015 Paper Revisions Deadline February 21, 2016 Final Notification April 24, 2016 Submission of Camera Ready Paper May 22, 2016 Manuscript submission --------------------- Please submit your manuscript through the ACM TIST submission system at http://mc.manuscriptcentral.com/tist (select "Special Issue: Intelligent Music Systems and Applications" as the manuscript type). Submissions must adhere to the ACM TIST instructions and guidelines for authors available at http://tist.acm.org/authors.html. Guest editors ------------- Markus Schedl Johannes Kepler University, Linz, Austria Yi-Hsuan Yang Academia Sinica, Taipei, Taiwan Perfecto Herrera Universitat Pompeu Fabra and Escola Superior de Musica de Catalunya, Barcelona, Spain Contact ------- If you have any further questions, please contact us via e-mail: Markus Schedl (markus.schedl(a)jku.at) Yi-Hsuan Yang (yang(a)citi.sinica.edu.tw) and Perfecto Herrera (perfecto.herrera(a)upf.edu)

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Postdoc job: Connectivity analysis in Brisbane, University of Queensland
by Ross Cunnington Aug. 14, 2015

Aug. 14, 2015

Postdoctoral Research Fellow Queensland Brain Institute, University of Queensland, Brisbane, Australia Applications are invited for a position as Postdoctoral Research Fellow at the Queensland Brain Institute (www.qbi.uq.edu.au) and Science of Learning Research Centre (www.slrc.org.au) Brisbane Australia. Research will involve modelling of connectivity using graph theoretical analysis, applied to physiological data recorded from students in school classrooms. This is a large and unique collaboration between neuroscience and education, bringing brain connectivity modelling methods to examine inter-person connectivity in school classrooms. Applicants must have a PhD in cognitive or computational neuroscience or a related area and strong research experience in connectivity data modelling. This position would suit someone with experience in brain connectivity analysis looking to further develop techniques to apply in novel ways. See more details at: http://jobs.uq.edu.au/caw/en/job/497744/postdoctoral-research-fellow CLOSING DATE FOR APPLICATIONS: 28 AUGUST -+- A/Prof Ross Cunnington, Principal Research Fellow School of Psychology & Queensland Brain Institute University of Queensland, Brisbane, Australia Phone: +61 7 3346 6330

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desperately seeking neural data scientists
by Liam Paninski Aug. 12, 2015

Aug. 12, 2015

Hi all (apologies for the cross-post) - we have multiple postdoctoral positions open in statistical neuroscience and machine learning. Full details here: http://grossmancenter.columbia.edu/postdoc.html, and copied below. Please share with anyone who might be interested. L Postdoctoral positions in statistical neuroscience and machine learning Multiple postdoctoral positions are available immediately in Columbia University's Grossman Center for the Statistics of the Mind, a new center focusing on the intersection of neuroscience, machine learning, and statistics. The Grossman Center bridges Columbia's Statistics and Neuroscience departments, and is closely integrated with the Center for Theoretical Neuroscience. The Grossman Center is part of Columbia's larger, growing initiatives in neuroscience and data sciences, all located in New York City. The principal appointments will be in the Statistics department, in the research groups of Liam Paninski and/or John Cunningham, with ample opportunities for interaction with an exceptional group of experimental and theoretical collaborators, including M. Churchland, L. Abbott, D. Blei, R. Yuste, R. Bruno, T. Jessell, K. Miller, E. Hillman, E.J. Chichilnisky, E. Simoncelli, K. Shenoy, M. Ahrens, and more. Requirements: Qualifications include primarily a strong research portfolio in computational neuroscience, statistical neuroscience, machine learning, or a related field. Backgrounds in analyzing large neural datasets, modeling complex neural systems, and cutting-edge machine learning will be particularly valuable. These positions are highly quantitative and highly interdisciplinary; applicants should have a PhD in Electrical Engineering, Statistics, Machine Learning, Physics, Applied Mathematics, or Computational Neuroscience. Appointment: The initial appointments will be for one year, and are renewable. Salaries will be set based on experience and skills. Applicants should send email to "grossman at stat dot columbia dot edu" providing: 1. a one-page description of past research experience 2. a one-page description of future research interests and goals 3. a resume of educational and research experience, including publications 4. names of at least two people that could provide letters of reference All materials should be in pdf or plain text. Applications will be reviewed as they arrive until the positions are filled; interested candidates are encouraged to express their interest early. Due to demand, we may not be able to reply to all applications.

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PhD scholarships in Applied Computing in Biology, Medicine and Health
by Marc de Kamps Aug. 11, 2015

Aug. 11, 2015

PhD scholarships in Applied Computing in Biology, Medicine and Health School of Computing, University of Leeds, UK Closing date for applications: 30 August 2015 The School of Computing, at the University of Leeds, ranked in the top 10 for research impact in the UK Research Excellence Framework REF2014, is offering up to five fully funded UK/EU PhD scholarships. This is an exciting opportunity for prospective UK/EU PhD students to engage in world class research from theoretical foundations of computer science through to highly applied computational modelling and systems engineering. Each scholarship covers fees, stipend and research training support. The scholarships are fully supported by School and the EPSRC (Engineering and Physical Science Research Council); however, requests for part-funding will also be considered where the balance is covered from elsewhere. We welcome applications within the research theme of Applied Computing in Biology, Medicine and Health: Our cross-disciplinary and highly collaborative research involves expertise spanning computer vision, data mining and visual analytics methods for Big Data, scientific computation, secure systems architectures, computational biology/neuroscience and bio-robotics. Topics include: Computational Neuroscience: development of cutting edge neuro-informatics frameworks; modelling dynamics of neural circuits and systems as part of the Human Brain Project; modelling adaptive sensory-motor control and biomechanics of animal behaviour; bio-robotic applications; Computational and Systems Biology: in-silico modelling of biological systems, from molecular and cellular dynamics to whole tissues, within basic biomedical research and as a pre-screening tool to accelerate the development of novel therapeutic products; Biomedical Image Analysis: development of novel image analysis techniques for computer assisted diagnosis, bio-mechanical modelling and surgical planning and training. Medical and Health Informatics: advanced process, text and data mining and novel visualization tools for analysing electronic health records, in the new £15m Leeds Institute for Data Analytics (LIDA). How to apply: Formal applications for research degree study should be made on-line through www.leeds.ac.uk/info/125187/applying_for_research_degrees Please state clearly on the funding section of the application form that you wish to be considered for scholarship 'PhD scholarship Computing (FAO Dr Raymond Kwan)'. Additional information: If English is not your first language, then candidates must also meet the University's English language requirements. Academic requirement: UK 2.1 Bachelor (or equivalent) and/or MSc with merit Web: http://www.engineering.leeds.ac.uk/computing/

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Final Call for Goettingen's Advanced Computational Neuroscience Summer School
by Agostina Palmigiano Aug. 10, 2015

Aug. 10, 2015

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Applications are invited for the Advanced COMPUTATIONAL NEUROSCIENCE Summer School in Göttingen, Germany September 02th - 12th, 2015 Application Deadline* August 17, 2015* %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% The aCNS School is a 10-day intensive course in mathematical and computational neuroscience. It offers students working in computational neuroscience and already familiar with its interdisciplinary nature, an intensive pedagogy of advanced theoretical and computational tools, designed to qualify young researchers to push the frontiers of the field. The course counts with and introductory day + 4 two-day blocks in charge of the following researchers: * Yoram Burak, Hebrew University, Jerusalem, Israel * Maneesh Sahani, Gatsby Computational Neuroscience Unit, UCL, Longon, England * Sara Solla, Nothwestern University, Chicago, USA * John Hertz, Niels Bohr Institute, Stockholm, Sweden * Moritz Helmstaedter, MPI for Brain research, Frankfurt, Germany The consecutive two day thematic blocks are dedicated to theoretical perspectives on neural assemblies. Each lecturer will give a self-contained introduction to a particular set of theoretical tools in a block of two morning lectures. In the afternoon, participants will work on problem sets designed to develop proficiency in these theoretical tools and approaches. An additional set of evening ‘easy’ lectures will give the opportunity to discuss significant advances in the field. These are held by: * David Hansel, University Paris Descartes, France * Walter Stühmer, MPI for Experimental Medicine, Göttingen, Germany * Alexander Gail, German Primate Center, Göttingen, Germany The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. There is no registration fee. Course language is English. We invite applicants to apply by filling out the application form at: http://www.bccn-goettingen.de/events/cns-course <http://www.bccn-goettingen.de/events/cns-course> by *August 17, 2015* Organizers: Rainer Engelken, Joscha Liedtke, Agostina Palmigiano, Maximilian Puelma Touzel, Manuel Schottdorf Looking forward to seeing you in Göttingen, Agostina Palmigiano ___________________________ Agostina Palmigiano Max Planck Institute for Dynamics and Self-Organization Am Fassber 17, 37077 Goettingen +49 551 5176 421 office +49 163 882 6689 mobile http://www.nld.ds.mpg.de/ <http://www.nld.ds.mpg.de/> ___________________________

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Importance of Lateral Connections in the Parietal Cortex for Generating Motor Plans
by Jeff Krichmar Aug. 10, 2015

Aug. 10, 2015

Dear Colleagues, I would like to draw your attention to our recent publication on a model of Parietal Cortex and a methodology to construct neurobiologically plausible architectures. I think it might be of interest to many of you. Asher, D.E., Oros, N., and Krichmar, J.L. (2015). The Importance of Lateral Connections in the Parietal Cortex for Generating Motor Plans. PLoS ONE 10, e0134669. http://www.plosone.org/article/citationList.action?articleURI=info%3Adoi%2F… Substantial evidence has highlighted the significant role of associative brain areas, such as the posterior parietal cortex (PPC) in transforming multimodal sensory information into motor plans. However, little is known about how different sensory information, which can have different delays or be absent, combines to produce a motor plan, such as executing a reaching movement. To address these issues, we constructed four biologically plausible network architectures to simulate PPC: 1) feedforward from sensory input to the PPC to a motor output area, 2) feedforward with the addition of an efference copy from the motor area, 3) feedforward with the addition of lateral or recurrent connectivity across PPC neurons, and 4) feedforward plus efference copy, and lateral connections. Using an evolutionary strategy, the connectivity of these network architectures was evolved to execute visually guided movements, where the target stimulus provided visual input for the entirety of each trial. The models were then tested on a memory guided motor task, where the visual target disappeared after a short duration. Sensory input to the neural networks had sensory delays consistent with results from monkey studies. We found that lateral connections within the PPC resulted in smoother movements and were necessary for accurate movements in the absence of visual input. The addition of lateral connections resulted in velocity profiles consistent with those observed in human and non-human primate visually guided studies of reaching, and allowed for smooth, rapid, and accurate movements under all conditions. In contrast, Feedforward or Feedback architectures were insufficient to overcome these challenges. Our results suggest that intrinsic lateral connections are critical for executing accurate, smooth motor plans. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Postdoc position in machine vision – Serre lab, Brown University (Providence, RI)
by Thomas Serre Aug. 10, 2015

Aug. 10, 2015

The computational vision research group, headed by Dr. Thomas Serre at Brown University, has an opening for a postdoctoral fellow to work on the automated analysis of behavior. In particular, we are looking for a computer scientist interested in the development of computer vision algorithms to automate the video analysis of behavioral data with a range of applications from the study of bird cognition in the wild to rodents in their home cage to people in their homes. Candidates are expected to have a solid background in modern computer vision and machine learning methods. An interest in biology and applications of computer vision to the biological sciences would also be a strong plus but this is not a requirement for the position. The initial appointment is for 12 months, renewable for another year, and potentially longer depending on funding. The start date is negotiable though an early start is strongly preferred. Salary is commensurate with experience and is competitive. Representative recent work related to the project: H. Jhuang, E. Garrote, X. Yu, V. Khilnani, T. Poggio and A. Steele and T. Serre. Automated home-cage behavioral phenotyping of mice. In: Nature Communications 1(1), doi:10.1038/ncomms1064, 2010 H. Kuehne, A. Arlsan & T. Serre. The language of actions: Recovering the syntax and semantics of goal-directed human activities. In: Proceedings of 2014 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2014), IEEE Computer Society Press, Columbus, Ohio, 2014 Research group: Our research group is located within the Department of Cognitive Linguistic & Psychological sciences at Brown University. We maintain strong ties with the computer science, engineering and applied math departments as part of the Brain Institute. Through Brown’s Center for Computation and Visualization (https://www.ccv.brown.edu) our group has access to a state-of-the-art computing facility with includes over 300K GPU cores and over 500 Teraflops of GPU computing power. Information about Dr. Serre and his research group can be found at http://serre-lab.clps.brown.edu. Requirements: Applicants are expected to have finished, or be about to finish their Ph.D. degrees. They must have a strong background in computer vision and/or machine learning, with a track record of relevant publications at top venues (such as NIPS, CVPR, ICCV, ICML or ECCV). Excellent programming skills are required (C/C++/Matlab/Python). Programming experience in CUDA and/or parallel computing would be a strong plus. Application: Please send your applications by email to thomas_serre(a)correct_university_name.edu where correct_university_name should be replaced by ‘brown'. Please include a brief statement of interests, a curriculum vita, a list of publications and contact details for 2-3 letters of reference (no letters required at this stage). There is no deadline for the application but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found.

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2nd announcement: Summerschool "Neurocomputational Models of Speech Processing", 14th to 18th of Sept. 2015, Aachen Germany
by Kröger, Bernd Joachim Aug. 10, 2015

Aug. 10, 2015

Summerschool: Neurocomputational Models of Speech Processing 14th to 18th September 2015 Topic: Constructing a Neurocomputational Model of Speech Processing Date: 14th to 18th of September 2015 Location: RWTH Aachen University, Aachen, Germany Costs: Accommodation at RWTH Aachen University Guest House or A&O-Hostel or other hotel in Aachen city: round about 80€ (Single or Double) per day; Food round about 30€ per day. Workshop is free. Accommodation and food will be arranged by Bernd J. Kröger www.SpeechTrainer.eu. Please contact bkroeger(a)ukaachen.de Next airport to Aachen, Germany: Duesseldorf International Airport, Germany Planned schedule: 1st day: 9-12am: Lecture (Bernd J. Kröger www.SpeechTrainer.eu<http://www.SpeechTrainer.eu>): Introduction to Neurocomputational Models of Speech Production including learning szenarios occurring in speech acquisition. Afternoon 2-5pm: Discussion and computer exercises in NENGO www.nengo.ca<http://www.nengo.ca> or Neural Processing Toolboxes of your choice 2nd day: 9-12am: Lecture (Bernd J. Kröger www.SpeechTrainer.eu<http://www.SpeechTrainer.eu>: Introduction to Neurocomputational Models of Speech Perception and Comprehension Afternoon 2-5pm: Discussion and Computer exercises in NENGO www.nengo.ca<http://www.nengo.ca> or Neural Processing Toolboxes of your choice 3rd day: 9-12am: Lecture (Bernd J. Kröger www.SpeechTrainer.eu<http://www.SpeechTrainer.eu>): Introduction to a physiological and acoustic model of speech production ( www.VocalTractLab.de<http://www.VocalTractLab.de> ) Afternoon 2-5pm: How to integrate VocalTractLab into an Neurocomputational Model of Speech Processing 4th and 5th day: 9am-5pm: Programming exercises and introduction to available speech data bases Please contact: Prof. Dr. Bernd J. Kröger Department of Phoniatrics, Pedaudiology, and Communication Disorders Medical School, RWTH Aachen University, Pauwelsstraße 30, D-52074 Aachen, Germany Email: bernd.kroeger(a)rwth-aachen.de Homepage: www.speechtrainer.eu<http://www.speechtrainer.eu>

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Call for posters/registration: Orbitofrontal Cortex and Cognition in the City of Lights, Sept 30 – Oct 2, 2015 @ Paris, France
by Mehdi Khamassi Aug. 7, 2015

Aug. 7, 2015

[Please accept our apologies if you get multiple copies of this message] Dear colleagues, It is our great pleasure to invite you to the Third Quadrennial Meeting on Orbitofrontal Cortex Function, entitled "Orbitofrontal Cortex and Cognition in the City of Lights", which will take place in Paris, France, on Sept 30th – Oct 2nd 2015. Online registration is now open at http://ofc2015.isir.upmc.fr The deadline for poster submission is: July, 31st. The deadline for registration is: August 31st. Registration fees (250 euros) also include the social event. Please circulate widely and encourage your colleagues and team members to attend. ------------------------------------------------------------------------------------------------ORBITOFRONTAL CORTEX AND COGNITION IN THE CITY OF LIGHTS (OFC 2015) Sept 30-Oct 2, 2015, Paris, France Institut du Cerveau et de la Moelle Epinière, Hôpital La Pitié Salpêtrière, Paris, France. & Université Pierre et Marie Curie, Paris, France. http://ofc2015.isir.upmc.fr ------------------------------------------------------------------------------------------------ PRESENTATION: The Third Quadrennial Meeting on Orbitofrontal Cortex Function which will take place in Paris, France, on Sept 30th – Oct 2nd 2015 at the Institut du Cerveau et de la Moelle Epinière, Paris, France. The objective of this three day meeting is to bring together researchers with a deep interest in the role of the orbitofrontal cortex in supporting cognition (behavior, learning, decision-making) across species. The meeting is the third, following up on similar meetings in 2007 and 2011. As such, it is intended to focus specifically on new ideas and research that has influenced the field over the past 4 years and that appear likely to lead the way into the next 4 years. The meeting consists of both invited talks and poster sessions. The invited talks are loosely organized into six different sessions that are titled to reflect the various stages of processing underlying cognition. Talks will be relatively short with ample time for questions and discussion after each talk and sub-group of talks. Poster sessions will be interspersed to allow participants to interact and present their own unique findings of relevance to advancing our understanding of this fascinating brain region. CONFIRMED SPEAKERS: Tim Behrens (Oxford University, UK) Yogita Chudasama (McGill University, Canada) Howard Eichenbaum (Boston University, USA) Lesley Fellows (McGill University, Canada) Jay Gottfried (Northwestern University, USA) Shannon Gourley (Emory University, USA) Christina Gremel (UCSD, USA) Ben Hayden (University of Rochester, USA) Patricia Janak (John Hopkins, USA) Thorsten Kahnt (Northwestern University, USA) Daeyeol Lee (Yale University, USA) Elisabeth Murray (NIMH, USA) Yael Niv (Princeton University, USA) John O'Doherty (Caltech, USA) Camillo Padoa-Schioppa (Washington Univ. St Louis, USA) Mathias Pessiglione (INSERM-ICM, France) Angela Roberts (Cambridge University, UK) Peter Rudebeck (Mount Sinai School, USA) Matthew Rushworth (Oxford University, UK) Geoffrey Schoenbaum (NIDA-NIH, USA) Wolfram Schultz (Cambridge University, UK) Matthew Shapiro (Mount Sinai School, USA) Philippe Tobler (University of Zurich, Switzerland) Jonathan Wallis (University of California at Berkeley, USA) Catharine Winstanley (University of British Columbia, Canada) IMPORTANT DATES: July 31, 2015 Deadline for Poster Submission August 31, 2015 Deadline for Registration Sept 30-Oct 2, 2015 Symposium Venue ORGANIZING COMMITTEE: Jay Gottfried (Northwestern University, USA) Mehdi Khamassi (CNRS / UPMC, Paris, France) Elisabeth Murray (NIMH, USA) Mathias Pessiglione (INSERM / ICM, France) Geoffrey Schoenbaum (NIDA-NIH, USA) CONTACT INFORMATION : Website, registration, poster submission and detailed program: http://ofc2015.isir.upmc.fr Contact: ofc2015 [ at ] isir.upmc.fr / ofc2015-registration(a)isir.upmc.fr -- Mehdi Khamassi, PhD Researcher (CNRS) Institut des Systèmes Intelligents et de Robotique (UMR7222) CNRS - Université Pierre et Marie Curie Pyramide, Tour 55 - Boîte courrier 173 4 place Jussieu, 75252 Paris Cedex 05, France tel: + 33 1 44 27 28 85 fax: +33 1 44 27 51 45 cell: +33 6 50 76 44 92 http://people.isir.upmc.fr/khamassi

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Starlab is looking for a Neuroscience Data Scientist
by Aureli Soria-Frisch Aug. 7, 2015

Aug. 7, 2015

Starlab Barcelona is hiring! We are looking for a Data Scientist to help us achieve novel and challenging milestones. Starlab, a private R&D company based in Barcelona (Spain) and Oxford (UK), is looking for an exceptional data scientist with a very hands-on attitude to join our neuroscience team. The successful candidate will work at the forefront of neuroscience research with a focus on real-world applications in close contact with our sister company Neuroelectrics, a world leader in wireless neuromonitoring and neuromodulation technologies. See more at: http://www.starlab.es/js-2015-07-neuroscience-data-scientist/ ________________________________________ Aureli Soria-Frisch (Dr.-Ing.) R&D Manager Neuroscience Research - Starlab Consulting Division Barcelona Offices: Av. Tibidabo, 47 bis - 08035 Barcelona - Spain tel. +34 93 254 03 70, +34 93 254 03 66, Ext -39 United Kingdom Offices: Building R103 - Room 1-11 - Harwell Oxford - Didcot OX11 0QX - UK tel. +44 1865589777 skype aureli.soria-frisch e-mail aureli.soria-frisch(a)starlab.es linkedin es.linkedin.com/pub/aureli-soria-frisch/6/b93/294/ ________________________________________ Starlab, Living Science http://starlab.es Click here to read our e-mail confidentiality and data protection policy

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Workshop on parallel computing resource for modeling and brain image analysis
by Ted Carnevale Aug. 4, 2015

Aug. 4, 2015

What: Using the Neuroscience Gateway Portal for Parallel Simulations A Satellite Symposium at the 2015 Society for Neuroscience Meeting Where: Lodation to be announced in downtown Chicago, IL When: 9 AM - Noon on Saturday, October 17, 2014 Speakers to include: Amit Majumdar, Subha Sivagnanam, and Padraig Gleeson Registration deadline: Friday, October 2, 2015 This workshop is for neuroscientists who need to use parallel supercomputers for large modeling projects, or analysis and visualization of brain imaging data. With support from NSF, we have been developing the Neuroscience Gateway Portal (NSG) http://www.nsgportal.org/, which * provides free CPU time on NSF-supported high performance computing resources * has a browser-based interface that simplifies the tasks of uploading models, specifying job parameters, monitoring job status, and storing and retrieving output data * already has many widely-used simulatiors optimally installed and configured, including NEST, Pynn, Brian, GENESIS3, NEURON and MOOSE. Also available is the FreeSurfer suite of tools for analyzing and visualizing structural and functional brain imaging data. The workshop will combine didactic presentations by NSG's developers, discussions with experienced users, and hands on instruction in how to use the portal. Come find out how the NSG can be useful in your own research! For more information and the online registration form see http://www.neuron.yale.edu/neuron/static/courses/nsg2014/nsg2014.html --Ted

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Book: Bayes' Rule With MatLab
by James Stone Aug. 4, 2015

Aug. 4, 2015

I'd like to announce the publication of this book: Bayes' Rule With MatLab A Tutorial Introduction to Bayesian Analysis by JV Stone Reviews, synopsis, and table of contents can be found here: http://jim-stone.staff.shef.ac.uk/BookBayes2012/BayesRuleBookMain.html regards, Dr Jim Stone University of Sheffield, UK. http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html

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Job Posting: Research Engineer or Scientist in Machine Learning
by Behnood Gholami Aug. 4, 2015

Aug. 4, 2015

*Research Engineer/Scientist, Machine Learning* *AreteX Engineering – New York, NY* AreteX Engineering, a medical technology startup company accelerating the use of information technology in healthcare, has an immediate opening for a Research Engineer/Scientist in its office located in New York City, SoHo district. AreteX is a former resident of the Harvard Innovation Lab (ilab) and a current resident of the NYU Incubator. The company has received grants from the Department of Defense and the National Science Foundation. The position involves developing machine learning algorithms for innovative biomedical technologies involving physiological signal processing and big data. We are looking for a self-motivated, highly talented individual with an excellent background in machine learning (statistical learning theory). The successful candidate will work closely with a team of physicians, nurses, engineers, and scientists in designing new clinical decision support systems. Candidates with experience in the analysis of experimental data derived from---but not limited to---auditory/visual/cross-sensory psychophysical, EEG, ECG, and galvanic-skin conductance, data would be given a higher priority. *Minimum Requirements:* - MS or PhD in computer science, electrical engineering, biomedical engineering, applied mathematics, or a similar discipline. - Expertise and innovation in methods, theory, and application of machine learning and data mining with a broad understanding of methodological approaches and proficiency in practice. - Expert abilities to work with new data sets regardless of prior exposure to current topic. - Strong interest in research and learning new technologies. - Proficient at writing technical papers/reports/presentations. - Experience with Python. - Familiarity with large data sets, cloud-based development and deployment, open source practices and frameworks is a plus. - Applicants must be U.S. citizens, U.S. nationals or U.S. permanent residents. *Responsibilities* - Collaborate with a team of machine learning, control engineering, and signal processing researchers. - Provide technical expertise to address supervised and unsupervised learning problems in an applied research environment. - Develop and deploy modern machine learning and statistical methods (CART and Random Forests, deep learning, clustering and classification algorithms, Bayesian models, neural networks, support vector machines, and probabilistic graphical models) for finding patterns and models from physiological data. *Preferred Qualifications:* - Prior expertise and exposure using non-invasive human physiological measures such as EEG, ECG, galvanic-skin conductance, or other categorically similar methodologies. - Prior experience in feature extraction from physiological signals. - Experience working with quantitative methods of neural data analysis. - Experience with speech, audio, or video technologies. Send your cover letter and CV to info(a)aretexeng.com. -- -- Behnood Gholami, Ph.D. Chief Executive Officer AreteX Engineering 137 Varick St., 2nd Floor New York, NY 10013 Phone: (347) 774-1617

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The KARA ONE Database: Phonological Categories in imagined and articulated speech
by frank Aug. 3, 2015

Aug. 3, 2015

We are making 24 GB of a new dataset, called Kara One, freely available. This database combines 3 modalities (EEG, face tracking, and audio) during imagined and articulated speech using phonologically-relevant phonemic and single-word prompts. It is the result of a collaboration between the Toronto Rehabilitation Institute (in the University Health Network) and the Department of Computer Science at the University of Toronto. In the associated paper (abstract below), we show how to accurately classify imagined phonological categories solely from EEG data. Specifically, we obtain up to 90% accuracy in classifying imagined consonants from imagined vowels and up to 95% accuracy in classifying stimulus from active imagination states using advanced deep-belief networks. Data from 14 participants are available here: http://www.cs.toronto.edu/~complingweb/data/karaOne/karaOne.html [1]. If you have any questions, please contact Frank Rudzicz at frank(a)cs.toronto.edu. Best regards, Frank PAPER Shunan Zhao and Frank Rudzicz (2015) Classifying phonological categories in imagined and articulated speech. _In Proceedings of ICASSP 2015_, Brisbane Australia ABSTRACT This paper presents a new dataset combining 3 modalities (EEG, facial, and audio) during imagined and vocalized phonemic and single-word prompts. We pre-process the EEG data, compute features for all 3 modalities, and perform binary classiﬁcation of phonological categories using a combination of these modalities. For example, a deep-belief network obtains accuracies over 90% on identifying consonants, which is signiﬁcantly more accurate than two baseline support vector machines. We also classify between the different states (resting, stimuli, active thinking) of the recording, achieving accuracies of 95%. These data may be used to learn multimodal relationships, and to develop silent-speech and brain-computer interfaces. Links: ------ [1] http://www.cs.toronto.edu/~complingweb/data/karaOne/karaOne.html

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PhD Studentships – Centre for Robotics and Neural Systems (CRNS), Plymouth University, UK
by Roman Borisyuk Aug. 3, 2015

Aug. 3, 2015

PhD Studentships – Centre for Robotics and Neural Systems (CRNS), Plymouth University, UK Following on the exceptional performance of Plymouth University in the UK Research Excellence Framework 2014, the university is now advertising the availability of 50 PhD studentships for study commencing in 2015/16. Of these studentships, at least two will be allocated to research projects and supervisors of the Centre for Robotics and Neural Systems (CRNS), within the Faculty of Science and Engineering. The first studentship can cover any topic within the CRNS research areas: * Cognitive and Humanoid Robotics * Computational Neuroscience * Artificial Intelligence The second studentship will focus on Autonomous Systems, possibly with relevance to unmanned marine systems, and will be in collaboration with the School of Marine Science and Engineering: For more details on the CRNS research projects, interests and supervisors, see: https://www1.plymouth.ac.uk/research/crns/Pages/default.aspx For general information on the studentships and application procedure, see: https://www.plymouth.ac.uk/student-life/your-studies/the-graduate-school/fu… We recommend that in the application form and cover letter you specify a research topic and preferred supervisor. You are also encouraged to contact the individual supervisors before applying, for informal discussion. The application deadline is 15 September 2015 Roman Borisyuk, DSc, PhD Professor of Computational Neuroscience School of Computing and Mathematics University of Plymouth A224, Portland Sq Plymouth, PL4 8AA UK Phone: +44 (0) 1752 584949 E-mail: RBorisyuk(a)plymouth.ac.uk<mailto:RBorisyuk@plymouth.ac.uk> ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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Call for participation NEUROMOD'2015, Neurotechnix'2015, 16-17 November, Lisbon
by Jaime Ibánez Pereda Aug. 2, 2015

Aug. 2, 2015

(Please accept our apologies if you receive multiple copies of this call) ******************************************************************************************* Dear colleagues, We are pleased to invite you to participate in the upcoming “Symposium on Neuromodulation-based Approaches for Neural Rehabilitation - NEUROMOD 2015”, to be held on November 16-17, at the Neurotechnix 2015 conference, in Lisbon. NEUROMOD website: http://www.neurotechnix.org/neuromod.aspx IMPORTANT DATES: Paper Submission: September 10, 2015 Authors Notification: September 25, 2015 Camera Ready and Registration: October 6, 2015 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - DESCRIPTION Neuromodulation is a rapidly-growing field, encompassing the application of targeted electrical/chemical/biological stimuli to the nervous system in order to improve function and quality of life. At present, an increasing number of implantable and non-invasive techniques are being proposed and made available to the clinicians, to stimulate CNS plasticity and foster recovery from motor, neurological and psychiatric disorders. Advancing in the field of neuromodulation represents challenges to build accurate neurophysiological models, understanding mechanisms of neuromodulation at cellular and systems levels, defining optimal engineering methodologies, and developing clinical application to treat patients. This session provides an opportunity for researchers/engineers/clinicians to present and discuss novel neurorehabilitation paradigms based on neuromodulation targeted at the spinal and/or supraspinal level. Top quality papers at NEUROMOD will be eligible for inclusion in the post-congress IOP journal of best papers or even for the best-paper award to be presented at the main congress, NEUROTECHNIX. This special session/symposium is part of the International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX - http://www.neurotechnix.org/) which is sponsored by the Institute for Systems and Technologies of Information and Control and Communication (INSTICC) and held in Cooperation with the Associacao Portuguesa de EEG e Neurofisiologia ClÌnica (APEEGNC), Neurotech Network, International Neural Network Society (INNS), Nansen Neuroscience Network, World Federation for NeuroRehabilitation (WFNR), Sociedade Portuguesa de Neurologia (SPN), International Neuromodulation Society (INS), International Federation of Clinical Neurophysiology (IFCN) and International Brain Research Organization (IBRO). All accepted Extended Abstracts will be published in the Book of Abstracts of the congress and on CD-ROM support, without ISBN. All accepted Complete Papers (full and short) will be published in the Congress Proceedings, under an ISBN reference, on paper and on CD-ROM support. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The Congress Proceedings will be submitted to appropriate indexes for indexation. A short list of presented papers will be selected so that revised and extended versions of these papers may be published by IOP Publishing on Journal of Neural Engineering. With this workshop we would like to bring together different researchers already active in the development of new neuromodulation techniques and protocols, with the goal of identifying the optimal developments and assessment strategies to be targeted in future studies and applications. Please check further details at the Special Session website available at: http://www.neurotechnix.org/neuromod.aspx Should you have any question or suggestions please don't hesitate to contact us. CO-CHAIRS: Stefano Piazza, Neural Rehabilitation Group, CSIC, Spain Jaime Ibanez, Neural Rehabilitation Group, CSIC, Spain Julian Taylor, HNP Toledo, Spain and Stoke Mandeville Spinal Research, United Kingdom

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[publication and call for dialog] IEEE CIS Newsletter on Autonomous Mental Development, Spring 2015
by Pierre-Yves Oudeyer July 31, 2015

July 31, 2015

Dear colleagues, I am happy to announce the release of the latest issue of the IEEE CIS Newsletter on Autonomous Mental Development (open access). This is the biannual newsletter of the computational developmental sciences and developmental robotics community, studying mechanisms of lifelong learning and development in machines and humans. It is available at: https://flowers.inria.fr/AMDNL-V12-N1.pdf Featuring dialog: === “Will social robots need to be consciously aware?” === Dialog Initiated by Janet Wiles, with responses from Axel Cleeremans, Yasuko Kitano, Cornelius Weber and Stefan Wermter, Justin Hart and Brian Scassellati, Juyang Weng, Guy Hoffman and Moran Cerf. Several dimensions of the question stand out. First, as we are very far from understanding what “consciousness” is, it appears that building robots capable of various forms of self- and other- awareness, and importantly how they can develop progressively these capabilities, can be very useful in the quest to unveil the underlying mechanisms. Second, as consciousness is a multiscale complex systems, multiple approaches and perspectives need to be taken in this process of robot building. Third, when one looks at applications, it is the function, and not the nature, of consciousness which becomes the relevant angle of analysis, and several ethical questions arise. Call for new dialog: === "Representational redescription: the next challenge?" === New dialog initiated by Stéphane Doncieux It has long been known in AI that having a good representation is key for machines to solve complex problems. However, so far good representations have been pre-programmed by engineers. What technical approaches could we imagine to allow machines to select, and even more important to find, new spaces of representations? Are techniques like deep learning general enough for realising such a challenge for lifelong learning robots? Do we need other approaches such as Darwinian mechanisms operating in the brain, like in neural Darwinism? Those of you interested in reacting to this dialogue initiation are welcome to submit a response by October 30th, 2015. length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer(a)inria.fr) You will also find news about the latest activities of the AMD Technical Committee and the ICDL-Epirob 2015 conference, and a call for candidates to become the new editor of the newsletter. As I have been editor of the newsletter for around 8 years, and I have now the AMD TC Chair duty, it is now time for other ideas and energies to take the lead of the newsletter. I take this opportunity to thank Fabien Benureau for his help as editorial assistant. Let me remind you that previous issues of the newsletter are all open-access and available at: http://www.cse.msu.edu/amdtc/amdnl/ I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Autonomous Mental Development Chair of the IEEE CIS AMD Technical Committee on AMD Research director, Inria Head of Flower project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com https://flowers.inria.fr http://www.poppy-project.org

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Call for participation: SASO'15, 21-25 September, MIT, Cambridge, Massachusetts
by F. Armetta July 29, 2015

July 29, 2015

(Please accept our apologies if you receive multiple copies of this call) ***************************************************************************************** CALL FOR PARTICIPATION The Ninth IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2015) MIT, Cambridge, Massachusetts; 21-25 September 2015 https://saso2015.mit.edu/ Part of FAS* -- Foundation and Applications of Self-* Computing Conferences Co-located with: The International Conference on Cloud and Autonomic Computing (CAC 2015) The 15th IEEE Peer-to-Peer Computing Conference (P2P 2015) ***************************************************************************************** GREATLY REDUCED HOTEL RATES AVAILABLE TILL AUGUST 21! The 2015 edition of the SASO conference series will be held in Cambridge, Massachusetts, and hosted by MIT in the week of September 21 to September 25, 2015. The aim of the Self-Adaptive and Self-Organizing systems conference series (SASO) is to provide a forum for the foundations of a principled approach to engineering systems, networks and services based on self-adaptation and self-organization. The ninth edition of the SASO conference embraces the inter-disciplinarity and the scientific, empirical and application dimensions of self-* systems; it thus aims to attract participants with different backgrounds, to foster cross-pollination between research fields, and to expose and discuss innovative theories, design principles, frameworks, methodologies, tools, and applications. -------------------- Registration -------------------- The Early Registration deadline is September 4, 2015. Deadline for reduced hotel rates is August 21, 2015. Registration is available at: https://saso2015.mit.edu/registration A single registration fee includes access to the main conference, tutorials, workshops, and the doctoral symposium. Moreover, it includes a conference kit with electronic proceedings, all coffee breaks, lunches, free entrance to the Welcome Reception and Conference Dinner. -------------------- Technical Program -------------------- We are happy to announce that we will be able to offer six keynotes together with CAC and P2P, including among others: * Albert-László Barabási, Center for Complex Network Research - Barabási Lab, Northeastern University Physics Department * Yang-Yu Liu, Harvard Medical School * Azer Bestavros, Boston University * Ozalp Babaoglu, University of Bologna. Full papers: * An Approach to Robust Resource Allocation in Large-Scale Systems of Systems * Multi-satellite mission planning using a self-adaptive multi-agent system * Distributed Recovery for Enterprise Services * Self-organising Zooms for Decentralised Redundancy Management in Visual Sensor Networks * Active Learning for Efficient Sampling of Control Models of Collectives * Distributed Current Flow Betweenness Centrality * Multi-agent Self-organization and Reorganization to Adapt M2M Infrastructures * Darwin in Smart Power Grids - Evolutionary Game Theory for Analyzing Self-Organization in Demand-Side Aggregation * A Generic Social Capital Framework for Optimising Self-Organised Collective Action * Foraging-inspired Self-organisation for Terrain Exploration with Failure-prone Agents * Efficient Engineering of Complex Self-Organizing Systems by Self-Stabilising Fields * PeerMatcher: Decentralized Partnership Formation * Combining Conflicting Environmental and Task Requirements in Evolutionary Robotics * Self-managed sensor network scheduling using Bayesian dynamic linear models Short papers: * A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement * Value-Sensitive Design of Self-Organisation * Ashbian homeostasis as non-autonomous adaptation * Reciprocal Agents for Self-Organization in Large-Scale Allocation Problems Posters: * Social Amoeba Dictyostelium Discoideum As an Inspiration for Swarm Robotics * Creating Complex Applications Via Self-Adapting Autonomous Agents in an Intelligent System Framework * Self-directed weight management by feedback from a self-adaptive metabolic health monitoring system * Cyber-Physical-Social System Self-Organization: Ontology-Based Multi-Level Approach and Case Study * Citizen-driven flood mapping in Jakarta - A self-organising socio-technical system * Hierarchical Service-Oriented Architecture for Development of Autonomic Systems * Sustainable Safety in Mobile Multi-Robot Systems via Collective Adaptation * Towards a spatial language for run-time assessments in self-organizing systems Demo: * Towards Self-Adaptation on Real-World Hardware: a Preliminary Lightweight Programming Framework In addition, six workshops are planned to be available to conference attendees free of charge: * 3rd Workshop on Fundamentals of Collective Adaptive Systems (FoCAS) http://focas.eu/saso-2015/ * 2nd Workshop on Quality Assurance for Self-Adaptive, Self-Organising Systems (QA4SASO) http://qa4saso.isse.de * 1st Workshop on Spatial and COllective PErvasive Computing Systems (SCOPES) http://www.spatial-computing.org/scopes * 9th Workshop on Dynamic Software Product Lines (DSPL) http://www.lero.ie/dspl2015 * Workshop on Diagnosing, Reacting, Evading And Manoeuvring (DREAM) http://www.dollabs.com/saso2015ahansdreamworkshop * 3rd Workshop on Self-Adaptive and Self-Organising Socio-Technical Systems (SASO^ST) http://sasost.isse.de Several tutorials, including: * "Enabling Software-Defined Federations using CometCloud". Organizers: Javier Diaz-Montes, Manish Parashar (Rutgers University) * "Fundamentals of Autonomic Cloud Security". Organizer: Salim Hariri (University of Arizona) Doctoral symposium, including research ideas on: * Cross layer Anomaly based intrusion detection system * Testing Self-Organizing, Adaptive Systems * Incentive Mechanisms for Social Computing * Quality trade-offs in self-protecting systems * Network Attack Detection and Mitigation * Multi-Agent Collaboration in Distributed Self-Adaptive Systems * Keynote by Dr. Jeremy Pitt (Imperial College London): "How To Get a PhD in Self-Organizing Systems" The detailed program of scientific papers and posters is available at: https://saso2015.mit.edu/accepted-papers -------------------- Social events -------------------- Welcome Reception at the MIT Museum (Tuesday) http://web.mit.edu/museum/ Dinner Cruise in Boston Bay (Wednesday) -------------------- Venue and accommodation -------------------- The conference will take place at the Boston Marriott Cambridge Hotel at the edge of the Massachusetts Institute of Technology. There are special rates available for participants. For more information, please refer to http://saso2015.mit.edu/venue Greatly reduced rates for rooms at the conference hotel are available until August 21. Details are available at http://saso2015.mit.edu/venue Hotels near the venue may be found at the MIT Institute Events site: http://web.mit.edu/institute-events/visitor/stay.html --------------------- Organisation --------------------- General Chairs Howard E Shrobe, MIT CSAIL, Cambridge, MA, USA Julie A McCann, Imperial College London, UK Programme Chairs Gregory Sullivan, Draper Labs, Cambridge, MA, USA Emma Hart, Director CEC, Edingurgh Napier University, Edinburgh, Scotland Jan-Philipp Steghöfer, University of Gothenburg and Chalmers Technical University, Gothenburg, Sweden Local Arrangements Chair Paul Robertson, Dynamic Object Labs, Lexington, MA, USA

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Four faculty positions in statistics and stochastics
by Robert Rosenbaum July 27, 2015

July 27, 2015

The Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame is seeking applications for a total of four faculty positions, three in statistics and one in stochastics. Ideally, one of the statistics positions will be at the post-tenure level (associate or full professor) and the remainder will be tenure track (assistant professor). The department is highly supportive of collaborative and interdisciplinary research and encourages applications from computational neuroscientists. Feel free to contact me (Robert.Rosenbaum(a)nd.edu) with general questions about the department, etc. Applicants for the post-tenure job are invited to contact the chair, Andrew Sommese (sommese(a)nd.edu) For more information and to apply, see here for statistics: http://apply.interfolio.com/30595 and here for stochastics: http://apply.interfolio.com/30609 — Robert Rosenbaum Assistant Professor Department of Applied and Computational Mathematics and Statistics University of Notre Dame

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IEEE Computational Intelligence Magazine (CIM) Special Issue: “Model Complexity, Regularization and Sparsity”
by Giacomo Boracchi July 26, 2015

July 26, 2015

*Call for Papers* *IEEE Computational Intelligence Magazine* *Special Issue on “Model Complexity, Regularization and Sparsity”* http://home.deib.polimi.it/boracchi/events/ModelComplexity.html *Aims and Scope* The effective management of solution complexity is one of the most important issues in addressing Computational Intelligence problems. Regularization techniques control model complexity by taking advantage of some prior information regarding the problem at hand, represented as penalty expressions that impose these properties on the solution. Over the past few years, one of the most prominent and successful types of regularization has been based on the *sparsity* prior, which promotes solutions that can be expressed as a linear combination of a few atoms belonging to a *dictionary*. Sparsity can in some sense be considered a “measure of simplicity“ and, as such, is compatible with many nature-inspired principles of Computational Intelligence. Nowadays, sparsity has become one of the leading approaches for learning adaptive representations for both descriptive and discriminative tasks, and has been shown to be particularly effective when dealing with structured, complex and high-dimensional data. Regularization, including sparsity and other priors to control the model complexity, is often the key ingredient in the successful solution of difficult problems; it is therefore not surprising that these aspects have also recently gained a lot of attention in big-data processing, due to unprecedented challenges associated with the need to handle massive datastreams that are possibly high-dimensional and organized in complex structures. This special issue aims at presenting the most relevant regularization techniques and approaches to control model complexity in Computational Intelligence. Submissions of papers presenting regularization methods for Neural Networks, Evolutionary Computation or Fuzzy Systems, are welcome. Submissions of papers presenting advanced regularization techniques in specific, but relevant, application fields such as data/datastream-mining, classification, big-data analytics, image/signal analysis, natural-language processing, are also encouraged. *Topics of Interest* · Regularization methods for big and high-dimensional data; · Regularization methods for supervised and unsupervised learning; · Regularization methods for ill-posed problems in Computational Intelligence; · Techniques to control model complexity; · Sparse representations in Computational Intelligence; · Managing model complexity in data analytics; · Effective priors for solving Computational Intelligence problems; · Multiple prior integration; · Regularization in kernel methods and support vector machines. *Important Dates* · 22nd January, 2016: Submission of Manuscripts · 30th March, 2016: Notification of Review Results · 30th April, 2016: Submission of Revised Manuscripts · 15th June, 2016: Submission of Final Manuscripts · November, 2016: Special Issue Publication *Submission Process* The maximum length for the manuscript is typically 20 pages in single column with double-spacing, including figures and references. Authors of papers should specify in the first page of their manuscripts the corresponding author’s contact and up to 5 keywords. Additional information about submission guidelines and information for authors is provided at the IEEE CIM website. <http://cis.ieee.org/ieee-computational-intelligence-magazine/134-ieee-compu…> Submission instructions can be found at http://home.deib.polimi.it/boracchi/events/ModelComplexity.html <https://easychair.org/conferences/?conf=ieeecim1116> *Guest Editors* *Prof. Cesare Alippi,* Dipartimento di Elettronica, Informazione e Biongegneria, Politecnico di Milano, via Ponzio 34/5, Milano, 20133, Italy email: cesare.alippi(a)polimi.it *Dr. Giacomo Boracchi*, Dipartimento di Elettronica, Informazione e Biongegneria, Politecnico di Milano, via Ponzio 34/5, Milano, 20133, Italy email: giacomo.boracchi(a)polimi.it *Dr. Brendt Wohlberg*, Theoretical Division, Los Alamos National Laboratory, Los Alamos NM 87545, USA email: brendt(a)lanl.gov -- Giacomo Boracchi, PhD DEIB - Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Via Ponzio, 34/5 20133 Milano, Italy. Tel. +39 02 2399 3467 http://home.dei.polimi.it/boracchi/

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Special Issue on Applications of Operations Research in Neuroscience -- Deadline Extension to October 1.
by Ruben Tikidji-Hamburyan July 24, 2015

July 24, 2015

Dear Colleagues, [We apologize if you have received multiple copies of this message] We would like to draw your attention to the special volume on "Applications of Operations Research for Neuroscience" in the Annals of Operations Research. We cordially invite researchers in neuroscience who use operations research methods and related mathematical fields to contribute to this special issue. Recent technological and theoretical advances offer promising opportunities for better understanding of the nervous system at the quantitative level. New optogenetic, in vitro and in vivo multielectrode recording, neuroimaging, brain imaging, and other modern techniques provide high-quality data that can be used in elucidating the fundamental mechanisms of information processing in neural system. The rapidly growing pool of experimental data has triggered the development of new mathematical models, which can provide new insights into the functioning of the nervous system at various scales ranging from that of molecular biology to that of the organizational principles of behavior and cognition. Sophisticated analyses of intracellular signalling or dynamics in heterogeneous neural networks, conditional behavior or connections of brain regions in decision-making lead to theoretical problems addressed by operations research. The special volume will cover a broad range of topics in the field of neuroscience, which use operations research approaches and methods. Potential topics include, but are not limited to, the following areas of neuroscience: * intracellular signaling and regulation * synaptic plasticity * dynamics in heterogeneous neural networks * intelligent systems and control * perceptual, cognitive and behavioral functions * learning and memory * spatio-temporal network analysis * combinatorial optimization * signal and information processing * neuroimaging and functional brain imaging processing * computational modelling and simulation The use of methods from modern operations research is a prerequisite for any paper submitted to this special volume to enter the reviewing process. Extended submission deadline of full papers: October 1, 2015. Submission Details: The format of manuscripts for the Annals of Operations Research as well as guidelines can be found on the web page of Springer, the publisher of the journal: http://www.springer.com/business/operations+research/journal/10479 Authors should submit a cover letter mentioning that the paper is for a special volume, along with and a manuscript via the journal's online submission site: http://www.editorialmanager.com/anor More details can be found in the Call for Paper attached to this e-mail. Annals of Operations Research is abstracted and indexed in the following databases: Science Citation Index, Science Citation Index Expanded (SciSearch), Journal Citation Reports/Science Edition, SCOPUS, INSPEC, Zentralblatt Math, Google Scholar, EBSCO, CSA, ProQuest, ABS Academic Journal Quality Guide, Academic OneFile, Academic Search, Computer Abstracts International Database, Computer Science Index, CSA Environmental Sciences, Current Contents/Engineering, Computing and Technology, DBLP, ECONIS, Expanded Academic, International Abstracts in Operations Research, Mathematical Reviews, OCLC, SCImago, STMA-Z, Summon by ProQuest. Please consider sharing this call for papers with any researchers who might be interested in contributing. On behalf of special volume guest editors, Ruben Tikidji-Hamburyan ------- Ruben Tikidji-Hamburyan,Ph.D. Department of Cell Biology and Anatomy Health Sciences Center Louisiana State University New Orleans, LA, 70112

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Summerschool on Neurocomputational Models of Speech Processing in Aachen, Germany
by Kröger, Bernd Joachim July 24, 2015

July 24, 2015

Dear comp-neuro Please forward: Summerschool: Neurocomputational Models of Speech Processing 14th to 18th of September 2015 Topic: Constructing a Neurocomputational Model of Speech Processing Date: Starting 14th of September for one week Location: RWTH Aachen University, Aachen, Germany Costs: Accomodation at RWTH Aachen University Guest House: round about 80€ (Single or Double) per day. Food: round about 30€ per day. Workshop is free. Accomodation and food will be arranged by Bernd Kröger www.SpeechTrainer.eu. Please contact bkroeger(a)ukaachen.de Next airport to Aachen, Germany: Duesseldorf International Airport, Germany Planned scedule: 1st day: 9-12am: Lecture (Bernd Kröger www.SpeechTrainer.eu) Introduction to Neurocomputational Models of Speech Production including learning szenarios occurring in speech acquisition. Afternoon 2-5pm: Discussion and computer exercises in NENGO www.nengo.ca or other neural processing toolboxes 2nd day: 9-12am: Lecture (Bernd Kröger www.SpeechTrainer.eu) Introduction to Neurocomputational Models of Speech Perception and Comprehension Afternoon 2-5pm: Discussion and Computer exercises in NENGO www.nengo.ca and other Neural Processing Toolboxes 3rd day: 9-12am: Lecture (Bernd Kröger www.SpeechTrainer.eu) Introduction to a physiological and acoustic model of speech production (www.VocalTractLab.de) Afternoon 2-5pm: How to integrate VocalTractLab into an Neurocomputational Model of Speech Processing 4th and 5th day: 9am-5pm: Programming exercises and introduction to available speech data bases) Summerschool takes place with more than 5 üarticipants -- Prof. Dr. Bernd J. Kröger Department of Phoniatrics, Pedaudiology, and Communication Disorders Medical School, RWTH Aachen University, Pauwelsstraße 30, D-52074 Aachen, Germany Email: bernd.kroeger(a)rwth-aachen.de Homepage: www.speechtrainer.eu

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Postdoc and graduate student positions in computational neuroscience and machine learning
by Jakob Macke July 24, 2015

July 24, 2015

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[Last CFP] Extended paper submission deadline to August 16 2015
by Teng Teck Hou July 24, 2015

July 24, 2015

(We apologize for multiples copies) - Please distribute this CFP among your colleagues and students IEEE Conference on Evolving and Adaptive Intelligence Systems - EAIS 2015 Douai, France, December 13, 2015 http://conference.mines-douai.fr/eais2015/ The paper submission deadline is extended to August 16, 2015 (Hard deadline, no more extension) * IMPORTANT DATES * ---------------------------------------------------------------- Paper Submission Due: Extended to August 16, 2015 (Hard deadline, no more extension) Notification of Acceptance: October 1st, 2015 Camera-Ready Papers Due: November 1st, 2015 Registration Deadline: November 1st, 2015 All accepted papers will be published in the conference Proceedings and submitted to IEEE for inclusion to IEEE Xplore. Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of the journal Evolving Systems (Springer). It is our pleasure to announce the two keynotes "Real Time Data Mining" and "Active online learning". The social program includes a visit to the prestigious museum of Le Louvre-Lens. A tour will be organized in "La Grande Galerie" exhibition space where you could discover some of the greatest masterpieces and the greatest artists of the Louvre museum. In addition, you will have the opportunity to enjoy the hospitality and cultural heritage of Douai (City town belfry historical building designated by UNESCO as World Heritage Site, the Chartreuse museum, the Northern French Cuisine ). * CONTEXT * ---------------------------------------------------------------------------- IEEE EAIS 2015 will be held in Douai, a beautiful city located in the north of France close to Brussels and Paris. IEEE EAIS 2015 will provide a friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations, and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in todays real-world applications, especially those ones with high complexity and dynamics change. Its embedded modeling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviors, knowledge expansion scenarios, and drifts in on-line data streams. EAIS 2015 is an IEEE sponsored conference which is organized by the IEEE Technical Committee on Evolving and Adaptive Intelligent Systems, SMC Society. EAIS conference series has a history starting in 2006 in Lake District, England. It was held after that in Germany, USA, France, Spain, Singapore and Austria. Authors of accepted papers will be invited to submit extended versions for a possible inclusion in a special issue of the journal Evolving Systems (Springer). * AREAS OF INTEREST * ---------------------------------------------------------------------------- -- Areas of interest include, but are not limited to: Basic Methodologies Evolving Soft Computing Techniques Evolving Fuzzy Systems Evolving Rule-Based Classifiers Evolving Neuro-Fuzzy Systems Adaptive Evolving Neural Networks On-line Genetic and Evolutionary Algorithms Data Stream Mining Incremental and Evolving Clustering Approaches Adaptive Pattern Recognition Incremental and Evolving ML Classifiers Adaptive Statistical Techniques Evolving Decision Systems Advanced Concepts Drifts and Shifts in Data Streams Stability, Robustness, Convergence in Evolving Systems On-line Feature Selection and Dimension Reduction On-line Active and Semi-supervised Learning On-line Complexity Reduction Computational Aspects Interpretability Issues Incremental Adaptive Ensemble Methods On-line Bagging and Boosting Self-monitoring Evolving Systems Human-Machine Interaction Issues Hybrid Modeling Transfer Learning Reservoir Computing Real-world Applications EIS for On-Line Modeling and System Identification EIS for Time Series Prediction EIS for Data Stream Mining and Adaptive Knowledge Discovery EIS in Robotics, Intelligent Transport and Advanced Manufacturing EIS in Advanced Communications and Multi-Media Applications EIS in Bioinformatics and Medicine EIS in On-line Quality Control and Fault Diagnosis EIS in Condition Monitoring Systems EIS in Adaptive Evolving Controller Design EIS in User Activities Recognition EIS in Huge Database and Web Mining EIS in Visual Inspection and Image Classification EIS in Cloud Computing EIS in Multiple Sensor Networks EIS in Query Systems and Social Networks * SUBMISSION REQUIREMENTS * --------------------------------------------------- Full papers - max. 8 pages IEEE style (double-column). Short Papers - max. 4 pages IEEE style (double-column). * INTERNATIONAL PROGRAMME COMMITTEE * ------------------------------------------------------------------ Plamen Angelov, Lancaster University, UK Dimitar Filev, Ford Motor Co., USA Nikola Kasabov, AUT, New Zealand * ORGANIZING PROGRAMME COMMITTEE * ------------------------------------------------------------ Chair: Moamar Sayed-Mouchaweh, Mines Douai, Institut Mines-Télécom, France Co-chair: Stéphane Lecoeuche, Mines Douai, Institut Mines-Télécom, France Publication Chairs: José A. Iglesias, Universidad Carlos III de Madrid, Spain Edwin Lughofer, Johannes Kepler University of Linz, Austria Local Arrangement Chair: Anthony Fleury, Mines Douai, Institut Mines-Télécom, France Muriel Morgan, Mines Douai, Institut Mines-Télécom, France Web & Publicity Chairs: Teck-Hou Teng, School of Computer Engineering, Nanyang Technological University, Singapore Mihaly Petreczky, Mines Douai, Institut Mines-Télécom, France Vincent Lecocq, Mines Douai, Institut Mines-Télécom, France Houari * SPONSORED BY * ------------------------------------------------------------------------- IEEE Systems, Man & Cybernetics Society. * ORGANIZED BY * ------------------------------------------------------------------------- IEEE Systems, Man & Cybernetics Society Technical Committee on Evolving Intelligent Systems Ecole des Mines de Douai, Département Informatique et Automatique, France ---------------------------------------------------------------------------- ------------------

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CARLsim 3.0.2 released
by Michael Beyeler July 23, 2015

July 23, 2015

Dear colleagues, Many of you may be interested in our latest software release of the CARLsim simulator. CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. Software and documentation can be found at: http://www.socsci.uci.edu/~jkrichma/CARLsim This release is in conjunction with our latest publications, which highlight CARLsim’s latest features. * Beyeler, M., Carlson, K.D., Chou, T.S., Krichmar, J.L., Dutt, N., (2015) CARLsim 3: A User-Friendly and Highly Optimized Library for the Creation of Neurobiologically Detailed Spiking Neural Networks. Paper presented at: International Joint Conference on Neural Networks (Killarney, Ireland). * Beyeler, M., Richert, M., Dutt, N.D., and Krichmar, J.L. (2014). Efficient Spiking Neural Network Model of Pattern Motion Selectivity in Visual Cortex. Neuroinformatics. * Carlson, K.D., Nageswaran, J.M., Dutt, N., and Krichmar, J.L. (2014). An efficient automated parameter tuning framework for spiking neural networks. Frontiers in Neuroscience 8. * Carlson, K.D., Richert, M., Dutt, N., and Krichmar, J.L. (2013). Biologically Plausible Models of Homeostasis and STDP: Stability and Learning in Spiking Neural Networks. Paper presented at: International Joint Conference on Neural Networks (Dallas, TX). If you have recently used CARLsim in one of your scientific publications, let us know so that we can add your paper to the list. CARLsim 3.0.2 Release Highlights --------------------------------------------- * improved platform compatibility (Linux, Mac OS X, and Windows) * real-time and offline data analysis tools * an automated parameter tuning interface that utilizes evolutionary algorithms to construct functional SNNs * an expanded STDP implementation, which includes dopaminergic neuromodulation * an exhaustive User Guide and Tutorials * much improved code base, which includes a test suite for functional code verification Best regards from the CARLsim team, Michael Beyeler Kristofor Carlson Ting-Shuo Chou Nikil Dutt Jeff Krichmar -- Michael Beyeler Ph.D. Candidate Cognitive Anteater Robotics Lab (CARL) 2236 Cognitive & Behavioral Science Gateway University of California, Irvine Irvine, CA 92697-5100, USA http://sites.uci.edu/mbeyeler

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PhD position announcement in computational neuroscience
by Mike X Cohen July 22, 2015

July 22, 2015

Mike X Cohen and Paul Tiesinga are searching for a PhD Candidate to work on a project entitled “Midfrontal Cortex Theta Oscillations: Causes and Consequences”. This project is funded by the European Research Council and is hosted by the Donders Centre for Neuroscience. Theta-band oscillations (~6 Hz) in the medial prefrontal cortex are a signature of several important cognitive functions, including behaviour monitoring, action adjustments and feedback-driven learning. Although this consistent finding has emerged in several species including humans, monkeys, and rats, little is known about the microcircuits in the medial prefrontal cortex that generate theta oscillations and the role of those oscillations in the neural computations underlying cognitive control functions. In this project, we aim to gain more insight into these processes by employing biophysically-informed computational models to simulate the genesis and significance of midfrontal theta for coordinating local and long-range network dynamics. Empirical experiments in humans and rodents may be incorporated into the research in order to test/refine the models. Please see http://www.ru.nl/overons/werken-radboud/details/details_vacature_0/?recid=5… for additional details. -- Mike X Cohen, PhD mikexcohen.com

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Bernstein Conference: Early registration ends on July 24, 2015
by Seeger, Simone July 22, 2015

July 22, 2015

BERNSTEIN CONFERENCE 2015 in Heidelberg Early registration ends on July 24, 2015! Please register here<https://mi3.lambdalogic.de/forms/Bernstein2015.do>. *************************************************************************** Satellite Workshops<http://www.nncn.de/en/bernstein-conference/2015/satellite-workshops> September 14, 2015 Main Conference<http://www.nncn.de/en/bernstein-conference/2015/program> September 15-17, 2015 *************************************************************************** The Bernstein Conference has become the largest annual Computational Neuroscience Conference in Europe and now regularly attracts more than 500 international participants. This year, the Conference is organized by the Bernstein Center Heidelberg-Mannheim and will take place in Heidelberg on September 15-17, 2015. In addition, there will be a series of pre-conference satellite workshops on September 14, 2015. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology, and sessions for poster presentations are an integral part of the conference. The Bernstein conference will also feature a series of satellite workshops on September 14, 2015. The goal is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: http://www.bernstein-conference.de<https://mail.zi-mannheim.de/OWA/redir.aspx?C=mYOXLQcyKEWWGs2ITdwALYoLj0aoVt…> CONFERENCE DATE AND VENUE: Satellite Workshops September 14, 2015 Main Conference September 15-17, 2015 Venue: Neue Universität, Grabengasse 3-5, 69117 Heidelberg, Germany PHD STUDENT EVENT: September 17-18, 2015 ORGANIZING COMMITTEE: Peter Bastian Andreas Draguhn Daniel Durstewitz Martin Gerchen Joachim Hass Elke Jochum Peter Kirsch Andreas Meyer-Lindenberg Christoph Schuster Simone Seeger We look forward to seeing you in Heidelberg in September! *** Simone Seeger, M.A. Administration Bernstein Center for Computational Neuroscience Zentralinstitut für Seelische Gesundheit Postfach 12 21 20, 68072 Mannheim J5, 68159 Mannheim Telefon: 0621/1703-1326 oder 06221/54-8310 Fax: 0621/1703-2915 E-Mail: Simone.Seeger(a)zi-mannheim.de<mailto:Simone.Seeger@zi-mannheim.de> Internet: http://www.bccn-heidelberg-mannheim.de<http://www.bccn-heidelberg-mannheim.de/>

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CFP: ICDM Workshop HealthMining 2015 and HISS Special Issue (Deadline extended: Aug 3, 2015)
by william July 21, 2015

July 21, 2015

[Please accept our apologies if you receive multiple copies of this email] CALL FOR PAPERS (Submission Deadline Extended: >>>Aug 3<<<, 2015) HEALTHMINING 2015 - The ICDM Workshop on Data Mining and Decision Analytics on Public Health and Wellness (URL: http://www.comp.hkbu.edu.hk/~healthmining2015/) In conjunction with the IEEE International Conference on Data Mining (ICDM 2015) >>> SPECIAL ISSUE <<< Selected papers of the workshop will be invited for revision to be included in a special issue to be published in Health Information Science and Systems (URL: http://www.hissjournal.com/) AIMS and SCOPE For many years, data mining and decision analytics techniques have already been extensively applied to various domains, such as smart environments, social networks, marketing, and web technology. The focus of this workshop is mainly on the issues and challenges of data mining techniques with the purpose of improving human well-being and quality of life. It is expected that the workshop may increase the diversity of application areas that can benefit from data mining. At the same time, it is also desirable that the discussion and vision of this workshop would also offer further insights into, as well as new tools for, the issues of data collection, processing, system modeling, simulation and optimization arising from various public health topics. The objective of this workshop is to serve as a venue for researchers to discuss how data mining and analytics methods can contribute to improving public health quality in clinical, medical/biomedical, and healthcare systems in smart ways, including evidence-based medicine, personalized treatment and healthcare, assistive technology and active surveillance and control of diseases. In addition to mining statistical regularities, associations, or causalities from large-scale health-related datasets, it would be more desirable to further investigate how the results can effectively and efficiently support decision-making, system modeling, optimization, and simulation in various healthcare systems. TOPICS OF INTEREST - Large-scale data acquisition and management issues for public health - Social and other network-based analysis for public health - Medical big data mining and innovative applications - Mining risk patterns in medical data - Mental and physical health data integration - Biomarker discovery and biomedical data mining - Clinical data mining for practice knowledge building - Data mining from clinical decision-making, and practitioner reflection - Data mining from genetic data of diseases - Data mining for disease profiling and personalized treatment - Data mining for (active) syndromic surveillance - Data mining for infectious/chronic disease epidemiology and control - Data mining for exploring hidden patterns in clinical systems - Data mining for medical/biomedical, and healthcare systems - Data mining for assistive environments - Data modeling and information management forpervasive assistive environments - Data mining and knowledge modeling for wellness - Spatiotemporal data exploration and mining of diseases - Unstructured data mining in medicine and healthcare - Semantic data mining in medicine and healthcare - Scalable data integration in medicine and healthcare - Evidence-based decision-support systems - Healthcare knowledge abstraction, classification, and summarization - Healthcare knowledge computerization, execution, inference, and representation IMPORTANT DATES - Paper Submission Due: >>>Aug 3<<<, 2015 - Paper Notification Date: Sep 1, 2015 - Workshop Date: Nov 13, 2015 ORGANIZING COMMITTEE - William K. Cheung, Hong Kong Baptist University, Hong Kong - Jiming Liu, Hong Kong Baptist University, Hong Kong - Parisa Rashidi, University of Florida, USA - Fei Wang, University of Connecticut, USA Department of Computer Science: http://www.comp.hkbu.edu.hk HKBU Faculty of Science: http://www.sci.hkbu.edu.hk Disclaimer: http://www.comp.hkbu.edu.hk/disclaimer

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Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes July 20, 2015

July 20, 2015

Dear all, The Journal of Mathematical Neuroscience publishes research articles on the mathematical modeling and analysis of all areas of neuroscience. The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Conditions for Multi-functionality in a Rhythm Generating Network Inspired by Turtle Scratching Snyder AC and Rubin JE http://www.mathematical-neuroscience.com/content/5/1/15 The Minimal k-Core Problem for Modeling k-Assemblies Wood CI and Hicks IV http://www.mathematical-neuroscience.com/content/5/1/14 Stochastic Synchronization in Purkinje Cells with Feedforward Inhibition Could Be Studied with Equivalent Phase-Response Curves Verduzco-Flores S http://www.mathematical-neuroscience.com/content/5/1/13 Orientation Maps in V1 and Non-Euclidean Geometry Afgoustidis A http://www.mathematical-neuroscience.com/content/5/1/12 On the Effects on Cortical Spontaneous Activity of the Symmetries of the Network of Pinwheels in Visual Area V1 Veltz R, Chossat P and Faugeras O http://www.mathematical-neuroscience.com/content/5/1/11 and see also the recent Special Issue on Stochastic Network Models in Neuroscience http://www.mathematical-neuroscience.com/series/SNMN<http://www.mathematical-neuroscience.com/series/UB> All articles are Open Access. Best regards, Steve ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

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WORKHOP Nonlinear Dynamics in Computational Neuroscience, Turin 7-9 sept 2015
by Alessandro Torcini July 19, 2015

July 19, 2015

Deadline 30th August: Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT to be held on September 07-09, 2015 in Turin, Italy Organizers: Fernando Corinto (Politecnico di Torino, Turin, Italy) and Alessandro Torcini (ISC-CNR, Florence, Italy) More information on the workshop can be found in the web page: http://www.neuro-eng-comp.polito.it/workshop/ Confirmed invited speakers include Cristina Becchio (University of Turin, Italy) Ruben Moreno Bote (CIBERSAM - Barcelona, Spain) George Bourianov (Intel/University of Texas at Austin, USA) Emilio Carbone (University of Turin, Italy) Stephen Coombes (University of Nottingham, UK) Steve Furber (The University of Manchester, UK) Julius Georgiou (University of Cyprus, Cyprus) Viktor Jirsa (INSERM - Marseille, France) Luke P. Lee (UC Berkeley, USA) Stefano Luccioli (ISC CNR - Florence, Italy) Maurizio Mattia (ISS - Roma, Italy) Benedetto Sacchetti (University of Turin, Italy) Maria Sanchez-Vives (IDIBAPS - Barcelona, Spain) Ronald Tetzlaff (TU Dresden, Germany) The poster can be downloaded from here http://goo.gl/CDY0Eg The workshop is kindly supported by the: SICC - Italian Society for Chaos and Complexity, IEEE CASS Outreach 2015 Initiative, CRT Foundation, Marie Curie Initial Training project NETT - Neural Engineering Transformative Technologies, Ministry of Foreign Affairs (Italy)

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Postdoctoral Position in Computational Neuroscience at IUPUI
by Yaroslav Molkov July 16, 2015

July 16, 2015

A postdoctoral/research associate position in computational neuroscience for the duration of up to two years is available in the externally funded project focusing on multiscale computational modeling of motor control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex, and spinal cord in connection with realistic simulation of pathological changes in motor control during Huntington’s disease. This collaborative project is performed jointly by the groups of Drs. Ilya Rybak (Dept. of Neurobiology and Anatomy, Drexel University, Philadelphia, PA, USA) and Yaroslav Molkov (Dept. of Mathematical Science, Indiana University – Purdue University, Indianapolis, IN, USA). Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline, a *strong research record*, and excellent C++ programming skills. Previous experience in computational neuronal modeling is a plus. Interested candidates are encouraged to contact Dr. Molkov ( ymolkov(a)iupui.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. I will be available to answer questions and discuss this job opportunity with potential candidates at the CNS’2015 meeting in Prague, Czech Republic (July 18-23). Please email me to arrange a meeting. ================================= Yaroslav Molkov, Ph.D. Assistant Professor Indiana University - Purdue University at Indianapolis Department of Mathematical Sciences 402 N. Blackford St, LD 270, Indianapolis, IN 46202 Office: LD 224U Phone: (317) 274-6934 Fax: (317) 274-3460 Email: ymolkov(a)iupui.edu

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Postdoc in Computational Visual Neuroscience (Alicante-Valencia, SPAIN)
by Jesus Malo Lopez July 16, 2015

July 16, 2015

The Neuroscience Institute of Alicante (CSIC) and the Universitat de Valencia are involved on a multiyear project to study neural computation and coding in visual cortex. We have an opening for a 3 year postdoc position to model information processing in the retina-cortex pathway. Job title: "The human camera: compressive sensing in brain networks and decoding from neural responses" (see additional information about the project at http://isp.uv.es/bmi.html ) Applications are invited for the above position to work with Dr. Luis Martinez (Neuroscience Institute of Alicante, CSIC, http://thevisualanalogylab.wix.com/valab) and Dr. Jesús Malo (Image & Signal Processing Lab, Universitat de Valencia, http://isp.uv.es ). The aim of this work is understanding dimensionality reduction in the retina-cortex bottleneck and enabling image reconstruction from actual neural recordings at cortical level. The "Human Camera" could be seen as a new Brain Machine Interface for image transmission in which the nontrivial/adaptive feature extraction stage is done by a brain instead of by the conventional compression algorithm. The input signal should be reconstructed from the neural signal at the receiver. Candidates must be in possession of a doctoral degree in computational neuroscience, machine learning, physics, mathematics or engineering. Preference will be given to candidates with experience and genuine interest in vision science phenomena and models. Work will be developed both at the Neuroscience Institute of Alicante and at the Universitat de València, with strong collaboration between the experimental and theoretical members of the team. Salary: according to CSIC Postdoc scales including social security, health insurance benefits, and travel money. Contact: Please email jesus.malo(a)uv.es or luis.m.martinez.otero(a)gmail.com for any queries about the position.

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Special Issue on Emerging Spatial Competences: From Machine Perception to Sensorimotor Intelligence
by Agostino Gibaldi July 15, 2015

July 15, 2015

APOLOGIES FOR CROSS-POSTING. Dear Researcher, we are very glad to inform you that the Special Issue “Emerging Spatial Competences: From Machine Perception to Sensorimotor Intelligence” (http://www.sciencedirect.com/science/journal/09218890) has been published on the Robotics and Autonomous System Journal (http://www.journals.elsevier.com/robotics-and-autonomous-systems) The aim of this special issue is to survey a state of the art of methodologies, concepts, algorithms and techniques that would serve as bricks on which to build and develop artificial agents with such a spatial competence; perceptual and cognitive understanding of space should emerge from sensorimotor exercise. The Special Issue includes 13 papers (acceptance rate 40%) plus the editorial: Emerging spatial competences: From machine perception to sensorimotor intelligence Agostino Gibaldi, Silvio P. Sabatini, Sylvain Argentieri, Zhengping Ji Self-calibrating smooth pursuit through active efficient coding C. Teulière, S. Forestier, L. Lonini, C. Zhang, Y. Zhao, B. Shi, J. Triesch Learning the visual–oculomotor transformation: Effects on saccade control and space representation Marco Antonelli, Angel J. Duran, Eris Chinellato, Angel P. del Pobil Autonomous learning of disparity–vergence behavior through distributed coding and population reward: Basic mechanisms and real-world conditioning on a robot stereo head Agostino Gibaldi, Andrea Canessa, Fabio Solari, Silvio P. Sabatini A developmental where–what network for concurrent and interactive visual attention and recognition Zhengping Ji, Juyang Weng Learning agent’s spatial configuration from sensorimotor invariants Alban Laflaquière, J. Kevin O’Regan, Sylvain Argentieri, Bruno Gas, Alexander V. Terekhov Trainable sensorimotor mapping in a neuromorphic robot Jörg Conradt, Francesco Galluppi, Terrence C. Stewart Cortically inspired sensor fusion network for mobile robot egomotion estimation Cristian Axenie, Jörg Conradt Deep unsupervised network for multimodal perception, representation and classification Alain Droniou, Serena Ivaldi, Olivier Sigaud Support relation analysis and decision making for safe robotic manipulation tasks Rasoul Mojtahedzadeh, Abdelbaki Bouguerra, Erik Schaffernicht, Achim J. Lilienthal Model-free incremental learning of the semantics of manipulation actions Eren Erdal Aksoy, Minija Tamosiunaite, Florentin Wörgötter Human motion based intent recognition using a deep dynamic neural model Zhibin Yu, Minho Lee Hybrid learning model and MMSVM classification for on-line visual imitation of a human with 3-D motions Chih-Lyang Hwang, Bo-Lin Chen, Hsing-Hao Huang, Huei-Ting Syu Interfacing robotic tactile sensation with human vibrotactile perception for digit recognition Anwesha Khasnobish, Shreyasi Datta, Dwaipayan Sardar, D.N. Tibarewala, Amit Konar Cordially, the Guest Editors: Agostino Gibaldi and Silvio P. Sabatini Department of Informatics, Bioengineering, Robotics and System Engineering PSPC Lab (www.pspc.unige.it) University of Genoa, Italy Sylvain Argentieri Institute for Intelligent Systems and Robotics (ISIR), Sorbonne Universités, UPMC University, Paris 06, France Zhengping Ji Advanced Image Research Laboratory (AIRL), Samsung, Pasadena, CA, USA

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Software for Non-parametric directionality analysis
by David Halliday July 14, 2015

July 14, 2015

[Apologies for cross posting] MATLAB software to implement non-parametric directionality analysis for spike-train and time-series data is available for free download from the NeuroSpec archive. A user guide and demonstration scripts are included. http://www.neurospec.org/ An accompanying journal article is published in the Journal of Integrative Neuroscience: "Nonparametric directionality measures for time series and point process data", J. Integr. Neurosci., 14, 253-277 (2015). DOI: 10.1142/S0219635215300127 http://dx.doi.org/10.1142/S0219635215300127 Abstract The need to determine the directionality of interactions between neural signals is a key requirement for analysis of multichannel recordings. Approaches most commonly used are parametric, typically relying on autoregressive models. A number of concerns have been expressed regarding parametric approaches, thus there is a need to consider alternatives. We present an alternative nonparametric approach for construction of directionality measures for bivariate random processes. The method combines time and frequency domain representations of bivariate data to decompose the correlation by direction. Our framework generates two sets of complementary measures, a set of scalar measures, which decompose the total product moment correlation coefficient summatively into three terms by direction and a set of functions which decompose the coherence summatively at each frequency into three terms by direction: forward direction, reverse direction and instantaneous interaction. It can be undertaken as an addition to a standard bivariate spectral and coherence analysis, and applied to either time series or point-process (spike train) data or mixtures of the two (hybrid data). In this paper, we demonstrate application to spike train data using simulated cortical neurone networks and application to experimental data from isolated muscle spindle sensory endings subject to random efferent stimulation. - David Halliday Department of Electronics University of York YORK YO10 5DD, UK. E-Mail: david.halliday(a)york.ac.uk

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