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Postdoctoral position at Kyoto U

by Hidetoshi Urakubo

Dear all, Integrated Systems Biology Lab at Kyoto U (Japan) invites applications for research position for analyses of three-dimensional microscopic images and/or functional magnetic images (fMRI, for example) from the animal/human brain, with a strong motivation into systems/computational neuroscience. We look forward to your applications and recommendations. The full advertisement is available below. On behalf of Prof. Shin Ishii Hidetoshi Urakubo ============================================== Shin Ishii Lab, Dep Sys Sci, Grad Sch Info, Kyoto U Yoshida-Honmachi 36-1, Sakyo-ku, Kyoto 606-8501 Japan Phone: +81-75-753-4908 Fax: +81-75-753-4907 Email: urakubo-h(a)sys.i.kyoto-u.ac.jp ============================================== ============== 1) We are seeking a highly motivated post-doc researcher, with a background in image processing, neuroinformatics, or systems/computational neuroscience. We are conducting a research project, “Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS; http://brainminds.jp/en/ ; Phil. Trans. R. Soc. B 370: 20140310).” This project aims to map the structure and function of neuronal circuits to understand the vast complexity of the human brain. The candidate will work on the projects on 3D reconstitution of marmoset brain atlas from 3D microscopic images (from EM and/or Optical) under collaboration with experiment teams. 2) We are also seeking a highly motivated post-doc researcher, with a background of systems/computational neuroscience, especially using a combination of brain imaging (EEG, fMRI, etc) and theoretical/computational modeling. Please see our references (Shikauchi and Ishii 2015, Scientific Rep. 5, 17648; Yoshida and Ishii 2006, Neuron 50(5), pp. 781-789). For both of them, a PhD or a MD degree, a proven track record of peer-reviewed publications, and solid communication skills in English and/or Japanese are essential. All projects are done with our tenure track and post-doc researchers of various backgrounds including systems biology, bioinformatics, computational biology, mathematical engineering, and machine learning. Our laboratory also has a strong collaboration with other laboratories in Advanced Telecommunications Research Institute International (ATR) and RIKEN Brain Science Institute. [Job title and Job description] Title is a Full-time Researcher / Full-time Research Engineer The position is open after April 1st 2016 (negotiable) Work location is Yoshidahonmachi 36-1, Sakyo-ku, Kyoto-city, Japan. 606-8501 The contract is annually renewable up to 3 years based on the evaluation. Salary will be commensurate with qualifications and experience. Social insurance will be applied. Days off include weekends, public holidays, Year-end and New Year holidays, Foundation Day, and summer vacation. These and other provisions are in accordance with Kyoto U regulations (Kyoto University’s regultions). [Application and required documents] Please send the following five materials to the address below, either in printed or electronic form: 1. Complete CV 2. List of publications 3. Reprints of 1 to 3 major publications 4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research - Interests and proposal for research 5. Two letters of recommendation (including one from the current supervisor, if available) [Selection process] Selection will be made based on application screening and interviews. [Requirements] Applicants must: - have a Ph.D. (or be near completion). - have strong motivations and ambitions to participate in the research above. [Number of openings] One or two [Deadline for application] May 1st (will remain open if positions are not filled) [Send application to] Shin Ishii Integrated Systems Biology Laboratory, Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan Email: Shin Ishii <ishii-sec(a)sys.i.kyoto-u.ac.jp> http://ishiilab.jp/kyoto/en/

Feb. 22, 2016

Call For Participation: 2016 Telluride Neuromorphic Cognition Engineering Workshop

by Ralph Etienne-Cummings

*Telluride Neuromorphic Cognition Engineering Workshop 2016 Wiki ¶ <https://neuromorphs.net/nm/wiki/2016#TellurideNeuromorphicCognitionEngineer…>* Sunday Jun 26th - Saturday July 16th, 2016 - * click here for workshop calendar <https://www.google.com/calendar/embed?src=hguqv4rgstl12d0m0n6c704nsg%40grou…>, Telluride Elementary School, Telluride, Colorado - click for google map location <https://maps.google.com/maps/myplaces?ll=37.939984,-107.815039&spn=0.011998…>.* *Applications to the 2016 Telluride Neuromorphic Cognition Engineering Workshop* 2016 NEUROMORPHIC COGNITION ENGINEERING WORKSHOP https://neuromorphs.net/nm/wiki/2016 Sunday June 26th - Saturday July 16th, 2016, Telluride, Colorado *IMPORTANT DATES FOR APPLICATION (Instructions are at the bottom of the page)* Application Website Open - 16th February, 2016 Applications Due - 2nd April, 2016 Notification of Acceptance - 15th April, 2016 *Application website: https://academicjobsonline.org/ajo/jobs/7040 <https://academicjobsonline.org/ajo/jobs/7040>.* *GOALS:* Neuromorphic engineers design and fabricate artificial neural systems whose organizing principles are based on those of biological nervous systems. Over the past 18 years, this research community has focused on the understanding of low-level sensory processing and systems infrastructure; efforts are now expanding to apply this knowledge and infrastructure to addressing higher-level problems in perception, cognition, and learning. In this 3-week intensive workshop and through the Institute for Neuromorphic Engineering (INE), the mission is to promote interaction between senior and junior researchers; to educate new members of the community; to introduce new enabling fields and applications to the community; to promote on-going collaborative activities emerging from the Workshop, and to promote a self-sustaining research field. *FORMAT:* The three week summer workshop will include background lectures on systems and cognitive neuroscience (in particular sensory processing, learning and memory, motor systems and attention), practical tutorials on emerging hardware design, mobile robots, hands-on projects, and special interest groups. Participants are required to take part and possibly complete at least one of the projects proposed. They are furthermore encouraged to become involved in as many of the other activities proposed as interest and time allow. There will be two lectures in the morning that cover issues that are important to the community in general. Because of the diverse range of backgrounds among the participants, some of these lectures will be tutorials, rather than detailed reports of current research. These lectures will be given by invited speakers. Projects and interest groups meet in the late afternoons, and after dinner. In the early afternoon there will be tutorials on a wide spectrum of topics, including analog VLSI, mobile robotics, vision and auditory systems, central-pattern-generators, selective attention mechanisms, cognitive systems, etc. *2016 TOPIC AREAS:* Decoding Multi-Modal Effects on Auditory Cognition: Edmund Lalor (Trinity College Dublin), Alain de Cheveigne (UPMC, France), Malcolm Slaney (Google), and Shihab Shamma (UM-College Park) Spike-Based Cognition in Active Neuromorphic Systems: Ryad Benjamin Benosman (UPMC, Paris), Cornelia Fermuller (Univ. of Maryland), Garrick Orchard (National University of Singapore), Michele Rucci (Boston University), and Bert Shi (Hong Kong University of Science and Technology) Neuromorphic Path Planning for Robots in a Disaster Response Scenario: Jeff Krichmar (University of California, Irvine) and Jennifer Hasler (Georgia Institute of Technology) Neuromorphic Tactile Sensing:James Wright (MARCS Institute, Western Sydney University), Jonathan Tapson (MARCS Institute, Western Sydney University), and Nitish V. Thakor (SINAPSE, Singapore University for Neurotechnology) Computational Neuroscience (invitational mini-workshop): Terry Sejnowski (Salk Institute) *LOCATION AND ARRANGEMENTS:* The summer school will take place in the small town of Telluride, 9000 feet high in southwest Colorado, about 6 hours drive away from Denver (350 miles). There are several small airports (e.g. Montrose) close to Telluride. All facilities within the beautifully renovated public school building are fully accessible to participants with disabilities. Participants will be housed in ski condominiums, within walking distance of the school. Participants are expected to share condominiums. The workshop is intended to be very informal and hands-on. Participants are not required to have had previous experience in analog VLSI circuit design, computational or machine vision, systems level neurophysiology or modeling the brain at the systems level. However, we strongly encourage active researchers with relevant backgrounds from academia, industry and national laboratories to apply, in particular if they are prepared to work on specific projects, talk about their own work or bring demonstrations to Telluride (e.g. robots, chips, software). Wireless internet access will be provided. Technical staff present throughout the workshops will assist with software and hardware issues. We encourage participants to bring along their personal laptop. No cars are required. Given the small size of the town, we recommend that you do not rent a car. Bring hiking boots, warm clothes, rain gear, and a backpack, since Telluride is surrounded by beautiful mountains. Unless otherwise arranged with one of the organizers, we expect participants to stay for the entire duration of this three week workshop. *FINANCIAL ARRANGEMENTS:* Notification of acceptances will be mailed out around the April 15th, 2016. The Workshop covers all your accommodations and facilities costs for the 3 weeks duration. You are responsible for your own travel to the Workshop. Registration Fees: For expenses not covered by federal funds, a Workshop registration fee is required. The fee is $1500 per participant for the 3-week Workshop. This is expected from all participants at the time of acceptance. Accommodations: The cost of a shared condominium, typically a bedroom in a shared condo for senior participants or a shared room for students, will be covered for all academic participants. Upgrades to a private rooms or condos will cost extra. Participants from National Laboratories and Industry are expected to pay for these condominiums. The 2016 Workshop and Summer School on Neuromorphic Engineering is sponsored by the National Science Foundation, Institute of Neuromorphic Engineering, University of Maryland - College Park, Institute for Neuroinformatics – University of Zurich and ETH Zurich, Georgia Institute of Technology, Johns Hopkins University, Boston University, University of Western Sydney and the Salk Institute. *Workshop Directors:* Cornelia Fermüller (University of Maryland) Ralph Etienne-Cummings (Johns Hopkins Univ.) Shih-Chii Liu (University of Zurich and ETH Zurich) Timmer Horiuchi (University of Maryland) Katalin Gotthard (University of Arizona) Michael Pfeiffer (University of Zurich and ETH Zurich) Francisco Barranco (University of Granada) Former 2007-2013 Workshop Director: Tobi Delbruck (University of Zurich and ETH Zurich) Workshop Advisory Board: Andreas Andreou (Johns Hopkins University) Andre van Schaik (University Western Sydney, Australia) Avis Cohen (University of Maryland) Barbara Shinn-Cunningham (Boston University) Giacomo Indiveri (Institute of Neuroinformatics, University of Zurich and ETH Zurich) Jonathan Tapson (University Western Sydney, Australia) Malcolm Slaney (Google) Jennifer Hasler (Georgia Institute of Technology) Rodney Douglas (Institute of Neuroinformatics, University of Zurich and ETH Zurich) Shihab Shamma (University of Maryland) Tobi Delbruck (Institute of Neuroinformatics, University of Zurich and ETH Zurich) *HOW TO APPLY:* Applicants should be at the level of graduate students or above (i.e. postdoctoral fellows, faculty, research and engineering staff and the equivalent positions in industry and national laboratories). We actively encourage women and minority candidates to apply. Anyone interested in proposing or discussing specific projects should contact the appropriate topic leaders directly. The application website is (after February 16th, 2016): https://academicjobsonline.org/ajo/jobs/7040 <https://academicjobsonline.org/ajo/jobs/7040>. Application information needed: Contact email address. First name, Last name, Affiliation, valid e-mail address. Curriculum Vitae (a short version, please). One page summary of background and interests relevant to the workshop, including possible ideas for workshop projects. Please indicate which topic areas you would most likely join. Two letters of recommendation (uploaded directly by references). Applicants will be notified by e-mail. 16th February, 2016 - Applications accepted on website 2nd April, 2016 - Applications Due 15th April, 2016 - Notification of Acceptance -- Ralph Etienne-Cummings, PhD, FIEEE Professor and Chairman Department of Electrical and Computer Engineering Computational Sensor Motor Systems Lab Laboratory for Computational Sensing and Robotics The Johns Hopkins University Baltimore, MD [image: cid:image001.png@01CFC064.B58B46A0]

Feb. 22, 2016

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