- Comp-neuro - lists.cnsorg.org

POSTDOCTORAL POSITION IN COMPUTATIONAL COGNITIVE DEVELOPMENT

by Dirk Bernhardt-Walther

The Cognitive Development Lab at The Ohio State University under the direction of Dr. Vladimir Sloutsky is seeking applicants for a postdoctoral research associate position for an NIH-funded project studying the development and neurobiology of categorization. The successful candidate is expected to work closely with Vladimir Sloutsky, Jay Myung, and Brandon Turner (at Ohio State) and Brad Love (at UCL) on modeling of cross-sectional and longitudinal data, on linking of genetic and behavioral data across development, and on model selection. The postdoc is expected to be an active part of the Cognitive Development lab that has general research interests in the development of cognition and to interact actively with Drs. Myung, Turner, and Love. The position is for three years with a possibility of reappointment. A successful candidate must have a Ph.D. in psychology, cognitive science, neuroscience, or related field and have a strong research record and previous experience in computational or statistical modeling. Although previous experience with developmental research is not necessary, special consideration will be given to candidates who have interest in understanding the development of cognition. Primary responsibilities will include active participation in research and collaboration with other members of the lab and the research team. Interested applicants should send a CV, research statement, representative publications, and names of three recommenders to Alicia Sciemca ( alicia.scimeca(a)gmail.com) -- the lab manager at the Cognitive Development Lab. Informal inquires may be sent to Vladimir Sloutsky (sloutsky.1(a)osu.edu) Applications will be received until the position is filled. The earliest start date is Summer of 2016. To learn more about research in the lab, visit our website: http://cogdev.osu.edu

Feb. 21, 2016

MBL Methods in Computational Neuroscience Course: Applications due March 7

by Mark Steven Goldman

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 27 to August 24, 2016, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 7*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The Final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2016 Course Directors: Michale Fee, MIT Mark Goldman, UC Davis 2016 Confirmed Faculty: Larry Abbott, Columbia University Steve Baccus, Stanford University Carlos Brody, Princeton University Emery Brown, MIT Dmitri Chklovskii, Simons Foundation Peter Dayan, University College London Sophie Deneve, Ecole Normale Superieure Uri Eden, Boston University Bard Ermentrout, University of Pittsburgh Adrienne Fairhall, University of Washington Ila Fiete, UT Austin Loren Frank, UCSF Jack Gallant, UC Berkeley Surya Ganguli, Stanford University Maria Geffen, University of Pennsylvania John Huguenard, Stanford University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, University of Southern California Ken Miller, Columbia University Terry Sejnowski, Salk Institute Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Michael Stryker, UCSF Josh Tenenbaum, MIT Daniel Wolpert, Cambridge University

Feb. 20, 2016

Deadline Extension: GreeNets 2016 - June 27-29, 2016 - Valencia, Spain

by Sandra Sendra

==================================================================================== 3rd EAI International Conference on Green Communications and Networking - GreeNets 2016 June 27-29, 2016 Valencia, Spain http://greenets.org/2016/show/home ==================================================================================== HIGHLIGHTS - Submission Deadline: March 31, 2016 - The event is endorsed by the European Alliance for Innovation, a leading community-based organisation devoted to the advancement of innovation in the field of ICT. - Proceedings are submitted for inclusion to the leading indexing services: DBLP, Google Scholar, Thomson Scientific ISI Proceedings, EI Elsevier Engineering Index, CrossRef, Scopus, as well as ICST's own EU Digital Library (EUDL). - Selected papers will be invited to publish in the EAI Endorsed Transactions on Energy Web and in the special issue of EAI Transactions on Intelligent Communication Protocols and Algorithms. - All accepted papers will be published by Springer and made available through SpringerLink Digital Library, one of the world's largest scientific libraries CALL FOR PAPERS [Scope] Global warming and climate change have been a growing worldwide concern. Six sources, i.e., transportation, power, buildings, industry, agriculture and forestry, and land use, have been identified as major contributors to the rise of global carbon dioxide (CO2). The mobile industry is seen as a potential enabler to reduce greenhouse gases contributed by these six sources provided that appropriate measures are implemented. On the other hand, the mobile industry itself will also contribute to CO2 emission through network operations, mobile equipments, etc. To meet the requirement of low-carbon economy development, it is necessary to reduce the operation expenditure or energy consumption of mobile networks, while maintaining acceptable quality of service. This conference will explore and explain the scope and challenges of designing, building, and deploying GreeNets. In this regard, the conference aims to establish a forum to bring together research professionals from diverse f! ields including green mobile networ ks, system architectures, networking & communication protocols, applications, test-bed and prototype, traffic balance and energy-efficient cooperation transmission, system and application issues related to GreeNets. [Topics] The conference invites original technical papers that were not previously published and are not currently under review for publication elsewhere. Topics include, but are not limited to: - Communications and Networking: Communication techniques and protocols for GreeNets Energy-efficient transmission technologies based on the cooperation communication Scalable and flexible energy efficiency mobile network architectures, deployments, and applications - Energy-efficient network architecture & protocols: Scalability and mobility issues in energy efficiency cross-layer design MAC Protocols and QoS Designing for mobile networks - Systems and Technology: Transactions and workflows in green mobile networks Adaptability and stability of green mobile networks Mobile and multimedia supported green mobile networks Experimental and test bed studies for energy efficiency mobile networks, simulation tools - Energy-efficient management: Energy-efficient traffic balance, cooperation and management Distributed energy efficiency resource management techniques Protocols for cooperative management and control [Publications] Accepted papers will be published in Springer's LNICST series and will appear in the SpringerLink, one of the largest digital libraries online that covers a variety of scientific disciplines, as well as in the ICST's own EU Digital Library (EUDL). LNICST volumes are submitted for inclusion to leading indexing services, including DBLP, Google Scholar, ACM Digital Library, ISI Proceedings, EI Engineering Index, CrossRef, Scopus. Selected papers will be invited to a Special Issue on Green Communications and Networking 2016 in: - International Journal ACM/Springer Mobile Networks & Applications (MONET): http://www.springer.com/engineering/signals/journal/11036 - EAI Transactions on Energy Web http://eai.eu/transaction/energy-web - EAI Transactions on Intelligent Communication Protocols and Algorithms http://eai.eu/transaction/intelligent-communication-protocols-and-algorithms [Paper submission] All the papers formatted according with the instructions have to be submitted through the conference online system at: http://greenets.org/2016/show/initial-submission [Important dates] Full Paper Submission deadline: 31 March 2016 Notification and Registration opens: 25 April 2016 Camera-ready deadline: 22 May 2016 [Conference organising committees] General Chair: Jaime Lloret, Universidad Politecnica de Valencia, Spain TPC Chair: Javier Aguiar, University of Valladolid, Spain Publicity and Social Media Chair / Co-Chairs: Kayhan Zrar Ghafoor, Koya University, Iraq Workshops Chair: Sabu M. Thampi, Indian Institute of Information Technology and Management- Kerala (IIITM-K), India Sponsorship & Exhibits Chair: Raquel Lacuesta, University of Zaragoza Publications Chair: Jose Miguel Jimenez, Integrated Management Coastal Research Institute, Universidad Politecnica de Valencia,Spain Lorena Parra, Integrated Management Coastal Research Institute, Universidad Politecnica de Valencia,Spain Panels Chair: Milos Stojmenovic, Singidunum University,Belgrade, Serbia Tutorials Chair: Jose Maria Alcaraz, University of the West of Scotland, Scotland,UK Demos, Posters and PhD Track Chair: Gregorio Martinez, University of Murcia, Spain Local Chair: Sandra Sendra, Integrated Management Coastal Research Institute, Universidad Polit�cnica de Valencia, Spain Web Chair: Alejandro Canovas, Integrated Management Coastal Research Institute, Universidad Polit�cnica de Valencia,Spain ABOUT EAI The European Alliance for Innovation is a dynamic eco-system for fostering ICT enabled innovation to improve European competitiveness and to benefit society. EAI uses open e-platforms to inspire grassroots collaboration among all relevant actors, from organizations to individuals, to stimulate community driven innovation to its institutional and individual members worldwide. Through EAI, organizations find ideas and talent, and individual innovators find organizations for their ingenuity and craft. Join the innovation community at www.eai.eu

Feb. 19, 2016

2016 NEURON Summer Course

by Ted Carnevale

The 2016 NEURON Summer Course, which will be held at the HHMI|Janelia Research Campus in Ashburn, Virginia, is now open for registration. The course has two components, which can be taken individually or together depending on your needs and experience with NEURON. NEURON Fundamentals runs from June 20-24. This component presents a thorough introduction to computational modeling of neurons and networks of neurons with NEURON, and introduces parallel simulation. It is suitable for individuals at all levels of expertise. Parallel Simulation with NEURON runs from June 25-27. This component focuses on the needs of experienced NEURON users who want to create models that will run on parallel hardware, and presumes knowledge of how to write hoc or Python code for NEURON. You may apply for one or both components, but registration is subject to approval by the course's faculty. Space is limited, and applications will be considered in the order received. The application deadline is Friday, May 20, 2016. No applications will be accepted after that date, and there will be no on-site registration. For more information and the on-line application form, see http://www.neuron.yale.edu/neuron/static/courses/summer2016/summer2016.html --Ted

Feb. 19, 2016

call for papers: PRNI 2016 submission now open

by Jo Etzel

******* please accept our apologies for cross-posting ******* ------------------------------------------------------------------------------ SECOND CALL FOR PAPERS: SUBMISSION NOW OPEN PRNI 2016 6th International Workshop on Pattern Recognition in Neuroimaging 22-24 June 2016 Fondazione Bruno Kessler (FBK), Trento, Italy www.prni.org - @PRNI2016 - www.facebook.com/PRNI2016/ ------------------------------------------------------------------------------ Paper submission opens: 18 February 2016 Paper submission deadline: 18 March 2016, 11:59 pm PST Acceptance notification: 22 April 2016 Camera-ready paper deadline: 7 May 2016 Oral and poster sessions: 22-24 June 2016 Pattern recognition techniques have become an important tool for neuroimaging data analysis. These techniques are helping to elucidate normal and abnormal brain function, cognition and perception, anatomical and functional brain architecture, biomarkers for diagnosis and personalized medicine, and as a scientific tool to decipher neural mechanisms underlying human cognition. The International Workshop on Pattern Recognition in Neuroimaging (PRNI) aims to: (1) foster dialogue between developers and users of cutting-edge analysis techniques in order to find matches between analysis techniques and neuroscientific questions; (2) showcase recent methodological advances in pattern recognition algorithms for neuroimaging analysis; and (3) identify challenging neuroscientific questions in need of new analysis approaches. PRNI welcomes submissions on topics including, but not limited to: * Learning from neuroimaging data - Algorithms for brain-state decoding or encoding - Optimization and regularization - Bayesian analysis of neuroimaging data - Causal inference and time delay techniques - Network and connectivity models (the connectome) - Dynamic and time-varying models - Dynamical systems and simulations - Empirical mode decomposition, multiscale decompositions - Combination of different data modalities - Efficient algorithms for large-scale data analysis * Interpretability of models and results - High-dimensional data visualization - Multivariate and multiple hypothesis testing - Summarization and presentation of inference results * Applications - Disease diagnosis and prognosis - Real-time decoding of brain states - Analysis of resting-state and task-based data - MEG, EEG, structural MRI, fMRI, diffusion MRI, ECoG, NIRS Authors should prepare full papers with a maximum length of 4 pages (two column IEEE style) for double-blind review. Manuscript submission is now open, and ends 18 March 2016. Accepted manuscripts will be assigned either to an oral or poster sessions; all accepted manuscripts will be included in the workshop proceedings.

Feb. 19, 2016

Cajal Course in Computational Neuroscience 2016

by Máté Lengyel

CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE 7-27 August 2016, Champalimaud Centre for the Unknown, Lisbon, Portugal + pre-school 2-5 August 2016 http://www.cccn.pt Applications deadline: 28 March 2016 DIRECTORS * Gilles Laurent (Max Plank Institute for Brain Research, Germany) * Máté Lengyel (University of Cambridge, UK) * Christian Machens (Champalimaud Neuroscience Programme, Portugal) This three-weeks school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning will be devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students will work on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects will be proposed by faculty before the course, and will include the modeling of neurons, neural systems, behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. An optional four-day pre-school in mathematics and programming is available to students who want to catch up on or fine-tune their math and programming skills. Essential details: * Course size: 24 students maximum * Fee (which covers tuition, lodging, and meals): 2500 EUR (+ 300 EUR for optional pre-school) * Scholarships and travel stipends are available. * Application deadline: 28 March 2015 * Notification of results: April 2015 Information and application http://www.cccn.pt Contact address: Tânia Li Chen <tania.chen(a)neuro.fchampalimaud.org> FACULTY * Alberto Bernacchia (Cambridge University, UK) * Matthias Bethge (Centre for Integrative Neuroscience, Germany) * Dmitri (Mitya) Chklovskii (Simons Center for Data Analysis, USA) * Claudia Clopath (Imperial College London, UK) * Peter Dayan (Gatsby Computational Neuroscience, UCL, UK) * Sophie Denève (Institut d'Etudes de la Cognition (IEC), France) * Alain Destexhe (Centre National de la Recherche Scientifique (CNRS), France) * David Fitzpatrick (Max Planck Florida Institute for Neuroscience, USA) * Michael Hausser (Wolfson Institute for Biomedical Research, UCL, UK) * Moritz Helmstaedter (Max Planck Institute for Brain Research, Germany) * Guillaume Hennequin (Cambridge University, UK) * Karel Ježek (Charles University, Czech Republic) * Matthias Kaschube (Frankfurt Institute for Advanced Studies, Germany) * Gilles Laurent (MPI Brain Research, Germany) * Peter Latham (Gatsby Computational Neuroscience, UCL, UK) * Simon Laughlin (University of Cambridge, UK) * Máté Lengyel (University of Cambridge, UK) * Zhaoping Li (University College London, UK) * Jennifer Linden (Ear Institute, UCL, UK) * Christian Machens (Champalimaud Neuroscience Programme, Portugal) * Jakob Macke (Center of Advanced European Studies and Research, Germany) * Tom Mrsic-Flogel (University of Basel, Switzerland) * Yael Niv (Princeton Neuroscience Institute, USA) * Maneesh Sahani (Gatsby Computational Neuroscience, UCL, UK) * Andreas Tolias (Baylor College of Medicine, USA) * Alessandro Treves (International School for Advanced Studies (SISSA), Italy) * Daniel Wolpert (Cambridge University, UK)

Feb. 18, 2016

Postdoc in Computational Neuroscience, Cambridge

by Máté Lengyel

We are seeking a highly creative and motivated postdoctoral fellow to work jointly in the Lengyel and Wolpert groups in the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge. Our groups study learning, perception and motor control using theory-driven approaches. The jointly led project will combine human psychophysical experiments and advanced theoretical methods to analyse and model the data. Areas of interest include decision making, active learning, cognitive representations, reinforcement learning. The successful candidate will have - a strong quantitative background - demonstrable interest in theoretical neuroscience as well as carrying out human psychophysical experiments - obtained (or be close to the completion of) a PhD or equivalent in computational neuroscience, physics, mathematics, computer science, machine learning or a related field Preference will be given to candidates with - previous experience in computational and / or behavioural neuroscience - sufficient programming skills to run numerical simulations (eg. in C, Python, or MatLab) - expertise with advanced data analysis and Bayesian techniques Salary: £28,982 - £37,768 pa. The funds for this post are available for two years in the first instance. For informal queries, please contact Máté Lengyel <m.lengyel(a)eng.cam.ac.uk> or Daniel Wolpert <wolpert(a)eng.cam.ac.uk>. Máté Lengyel will also be attending the COSYNE 2016 meeting in Salt Lake City between 25 Feb - 1 Mar where he will be happy to discuss details with potential applicants. -- Mate Lengyel, PhD Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel(a)eng.cam.ac.uk web: www.eng.cam.ac.uk/~m.lengyel

Feb. 18, 2016

NEURAL COMPUTATION - March 1, 2016

by Terry Sejnowski

Neural Computation - Volume 28, Number 3 - March 1, 2016 Available online for download now: http://www.mitpressjournals.org/toc/neco/28/3 ----- Article Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices Aapo Hyvarinen, Jun-ichiro Hirayama, Vesa Kiviniemi, and Motoaki Kawanabe Note A Block Successive Lower-Bound Maximization Algorithm for the Maximum Pseudolikelihood Estimation of Fully Visible Boltzmann Machines Hien D Nguyen, Ian A Wood Letters Microdomain [Ca2+] Fluctuations Alter Temporal Dynamics in Models of Ca2+-dependent Signaling Cascades and Synaptic Vesicle Release Seth H Weinberg Kernelized Elastic Net Regularization: Generalization Bounds and Sparse Recovery Yunlong Feng, Shao-Gao Lv, Hanyuan Hang, and Johan A.K. Suykens An Online Policy Gradient Algorithm for Markov Decision Processes With Continuous States and Actions Yao Ma, Tingting Zhao, Kohei Hatano, and Masashi Sugiyama The Development of an Information Criterion for Change-Point Analysis Colin H LaMont, Paul A. Wiggins ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2016 - VOLUME 28 - 12 ISSUES Student/Retired $78 Individual $138 Institution $1,108 MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu ------------

Feb. 18, 2016

Call for papers on Biological Applications of Information Theory, a special issue in honor of Claude Shannon's centennial

by Dimitrov, Alexander

In honor of Claude Shannon’s centennial: We are pleased to announce a Special issue of the IEEE Transactions on Molecular, Biological, and Multi-Scale Communications on Biological Applications of Information Theory Submission deadline April 30, 2016 Claude Shannon, born April 30, 1916, pioneered the mathematical theory of communication in his 1948 paper in the Bell System Technical Journal. Information theory has since provided the foundation for the digital revolution in communications technology. In addition, it has provided a powerful framework for investigating the fundamental limitations of naturally occurring communications, particularly in biological systems. Early applications included consideration of redundancy reduction in sensory pathways (Attneave 1954, Barlow 1961), ionizing radiation and mutagenesis (Yockey 1958), efficiency of metabolic processes (Johnson and Knudsen 1965), and analysis of reliable computation in the presence of noise (Cowan and Winograd 1963). Modern developments have accelerated in recent years as a result of advances in MEMS/NEMS and systems biology, the emergence of synthetic bacteria and lab/process-on-a-chip techniques, and collection of large data sets in both electrophysiology and cell biology. It is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems at small length scales, and across multiple scales (e.g., micro to macro). This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature, as well as creating new ways of understanding the principles underlying communication in biological systems at many scales. The special issue will celebrate Shannon’s centennial by highlighting success stories and current progress in biological and bio-inspired information theory. In particular, we hereby solicit both invited and submitted papers in three interrelated areas: 1. Information theory and cellular/molecular biology/biochemistry (including information theory and intercellular communication); 2. Information theory and neuroscience; and 3. Information-theoretic analysis of biologically inspired communication systems (including nanonetworking and design of biologically implemented information processing networks). Contributions from researchers beyond the IEEE’s typical audience are encouraged. Submission Instructions Submissions will be collected via Manuscript Central, http://mc.manuscriptcentral.com/tmbmc/ . In your cover letter, state: “This paper is a submission for the Shannon Centennial special issue". For further information, please contact the corresponding guest editor, Prof. Peter Thomas (pjthomas__at__case.edu) Special Issue Guest Editors Prof. Alexander G. Dimitrov Department of Mathematics and Statistics Department of Integrative Physiology and Neuroscience Washington State University, Vancouver, Washington, USA Prof. Faramarz Fekri Department of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, Georgia, USA Prof. Aurel Lazar Department of Electrical Engineering Columbia University, New York, New York, USA Prof. Stefan M. Moser Signal and Information Processing Lab (ISI) ETH Zurich, Zurich, Switzerland Department of Electrical and Computer Engineering National Chiao Tung University (NCTU), Hsinchu, Taiwan Prof. Peter J. Thomas* Department of Mathematics, Applied Mathematics, and Statistics Department of Electrical Engineering and Computer Science Department of Biology Case Western Reserve University, Cleveland, Ohio, USA *corresponding guest editor -- Alexander Dimitrov Department of Mathematics and Statistics Washington State University 14204 NE Salmon Creek Ave Vancouver WA 98686 alex.dimitrov(a)wsu.edu http://directory.vancouver.wsu.edu/people/alexander-dimitrov

Feb. 18, 2016

Call for applications: SMART START - a joint training progamm in Computational Neuroscience for young researchers

by Mareike Kardinal

*Call for applications* Ready for a *SMART*/START/ into Computational Neuroscience? We invite first and second-year Master students with a background in related fields to apply to our joint training program *SMART*/START/. The program aims at complementing previous studies with concepts, theories and techniques of Computational Neuroscience. *SMART*/START /consists of two programs. Both of them last one year each and take place at numerous locations of the Bernstein Network and further locations throughout Germany. *SMART*/START /1 provides financial support to then second-year Master students, allowing them to attend supplementary courses and training visits at participating institutions. Students will receive an experienced faculty mentor who will advise and guide them at this educational stage. *SMART*/START /2 provides fully funded positions for pre-PhD students. At the start of the program, these students will have already obtained their Master´s degree and are in the process of selecting a PhD project. *SMART*/START /2 allows them to elaborate their own PhD proposal as a collaborative project between two labs. This comprises exchange visits as well as voluntary attendance of lectures and courses offered by participating institutions. Both *SMART*/START/ programs will commence in the winter term 2016/17. _Deadline for application is Monday, Feb 29, 2016._ More information can be found on our website: www.smartstart-compneuro.de Best regards, Mareike Kardinal -- Dr. Mareike Kardinal Bernstein Network Computational Neuroscience Press & Public Relations Officer, Bernstein Coordination Site (BCOS) Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg, Germany phone: +49-761-203-9593 mareike.kardinal(a)bcos.uni-freiburg.de www.nncn.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany

Feb. 18, 2016