- Comp-neuro - lists.cnsorg.org

ANNPR 2016: Call for Papers

by Dr. Schwenker

**** Please apologize cross-postings. Call for Papers IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2016) September 28-30, 2016 Ulm University, Ulm, Germany ANNPR 2016 invites papers that present original work in areas of neural networks, machine learning and pattern recognition, focusing on both theoretical and applied aspects. Topics of interest include, but not limited to: Methodological Issues - Supervised learning - Unsupervised learning - Combination of supervised and unsupervised learning - Feed-forward, recurrent, and competitive neural nets - Kernel machines - Hierarchical modular architectures and hybrid systems - Combination of neural networks and Hidden Markov models - Multiple classifier systems and ensemble methods - Probabilistic graphical models - Kernel methods - Deep architectures Applications in Pattern Recognition - Image processing and segmentation - Handwritten recognition and Document analysis - Sensor-fusion and multi-modal processing - Feature extraction, dimension reduction - Clustering and vector quantization - Speech and speaker recognition - Data, text, and web mining - Bioinformatics/Cheminformatics Important Dates Paper submission: May 4, 2016 Notification of acceptance: June 22, 2016 Camera ready due: July 6, 2016 Workshop: September 28-30, 2016 General Chairs Friedhelm Schwenker, Ulm University, Germany Hazem Abbas, German University of Cairo, Egypt Neamat El Gayar, Cairo University, Egypt Edmondo Trentin, University of Siena, Italy For more information, please visit us: http://neuro.informatik.uni-ulm.de/ANNPR2016/ -- Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker(a)uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

Jan. 24, 2016

Postdocs integrated into the Human brain Project – specifically data-driven modeling at the subcellular or network levels, or tool development/support

by Jeanette Hällgren Kotaleski

Dear Colleagues, dear all, KTH Royal Institute of Technology, Stockholm, is currently recruiting postdocs to be working within the Human Brain Project. 1) Postdoc/application expert – specifically development of brain modeling tools: Specifically for the current position software applications providing user-friendly interface to cellular-level modelling tools will be developed, supported and used. These will include an optimization framework (for fitting electrical models of neurons to their observed electrical behaviour) and also a morphology pipeline (the tool used to analyse and validate neuron morphologies). More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling… 2) Postdoc in computational systems (neuro)biology – specifically synaptic plasticity and neuromodulation: Specifically for the above position data-driven modeling of receptor induced cascades such as GPCR dependent cascades involved in neuromodulation and synaptic signaling will be done. More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling… 3) Postdoc in brain simulations - specifically motor control and selection of behaviour: Specifically for the position, modeling of motor control and learning with basal ganglia as important components will be done. The modeling tools are mainly Nest and Neuron. More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling… All the best, Jeanette Hellgren Kotaleski Prof, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm

Jan. 23, 2016

Intensive summer course at Princeton

by Carlos Brody

Announcing a 4-week Intensive Summer Course at Princeton Neurotechnologies for Analysis of Neural Dynamics Directors: David W. Tank and Michael Berry, Princeton University, Dates: June 12 – July 9, 2016. Application Form and Course Schedule: NAND.princeton.edu <http://nand.princeton.edu/> Application Deadline: Rolling admissions starting February 1, 2016. This course is designed to emphasize the major ways that scientists trained in the physical and information sciences contribute to the advance of neuroscience. It will introduce students with quantitative training in the physical sciences, mathematics or engineering to the concepts and research methodologies of modern neuroscience. Topics covered will range from cellular biophysics to systems neuroscience, including particularly imaging methods for the study of single neurons, networks of neurons and human brain dynamics during execution of behavioral computations. The course will be unique in its focus on neural dynamics at several scales of complexity – cells, circuits, intact brains – and the combination of didactic lectures and laboratory exercises, including cellular biophysics, synaptic interactions and plasticity in neuronal networks, and fMRI imaging of targeted brain regions in human subjects. The course includes substantive instruction in neurotechnologies, ranging from large-scale multi- electrode and optical recording, optogenetic stimulation and mathematical analysis of neural dynamics within the datasets produced by these methods. The capstone of this course will be one-week student-designed research projects integrating concepts and methodologies encountered during the initial formal lectures and laboratory exercises. Women and under-represented minorities are encouraged to apply.

Jan. 22, 2016

CALL FOR WORKSHOP PROPOSALS: VECPAR 2016 - High Performance Computing for Computational Science

by Carlos Ferreira

As part of the 12th VECPAR International Meeting on High Performance Computing for Computational Science, we are seeking proposals for affiliated workshops. The workshops should be focused in fresh topics related to parallel and distributed computational science, from theory to practice, where new ideas, subjects, open problems and works on progress can be discussed and explored. The accepted workshops will be held on 1st of July 2016 and may be organized as half- or full-day. IMPORTANT DATES Deadline for workshop proposals: February 15th, 2016 Notification of acceptance: February 19th, 2016 Deadline for paper submission: To be defined by the chairs Author notification: To be defined by the chairs Camera-ready version of papers: May 15th, 2016 PROPOSALS GUIDELINES Workshop title and acronym; Workshop description (150-200 words) to be included in the VECPAR website; Name and short bio of the workshop proponents; A list of the tentative program committee. Responsibilities of the Workshop Chairs: Prepare a dedicated call for papers; Maintain the workshop website; Define the workshop program committee; Select the papers by a peer review process. PROCEEDINGS The papers of the workshops will be published under the Springer LNCS series. The authors may be asked to revise the paper after the conference in order to meet the series requirements. BUDGET VECPAR 2016 will not pay for travel or other arrangements for workshop organizers or any of their invited guests. HOW TO SUBMIT The workshop proposals should be sent by email to the Workshops Chair: João Manuel R. S. Tavares Faculty of Engineering of the University of Porto, Portugal tavares(a)fe.up.pt Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt<http://www.isep.ipp.pt>

Jan. 22, 2016

2 comp neuro PhD studentships in the Clopath lab

by Claudia Clopath

We are pleased to advertise 2 PhD studentships at Imperial College London. They are both collaborative and consist of a main computational part and a small experimental part. http://www.imperial.ac.uk/neurotechnology/cdt/projects/computation_for_moto… http://www.imperial.ac.uk/neurotechnology/cdt/projects/hear_with_plasticity/ Application deadline: 29th of January Best, Claudia Clopath http://www.bg.ic.ac.uk/research/c.clopath/ ****** Biologically inspired computation for real-time motor learning Supervisors: Paul Chadderton Claudia Clopath An important area of robotics research is focused on developing machines that can learn and adapt to changing environments as efficiently as animals. Biological principles underlying the acquisition of motor skills are likely to inspire these new technologies. The aim of our project is to characterise computational principles of motor learning in real time using novel neurophysiological data from a uniquely tractable and well-controlled system, the whisker circuitry of the cerebellar cortex. Neural recordings will reveal how the brain adapts during learning, and will then be used to develop and apply a biologically constrained computational model in an actively sensing robot. ****** Learning to hear with plasticity across multiple timescales Supervisors: Dan Goodman Claudia Clopath Paul Chadderton Humans have a remarkable ability to understand speech in noisy environments such as a crowded pub. Despite advances in speech recognition, the question of how we do this remains largely unsolved. This project aims at understanding how the brain adapts and learns to cope with these difficult listening situations, with the goal of developing better technology for speech processing. It will involve (1) developing mathematical and computational models of hearing and neural adaptation and plasticity, (2) experimental testing (including training in animal electrophysiology and human psychoacoustics), and (3) technology development for speech recognition, hearing aids and cochlear implants. The candidate should be willing to learn experimental techniques (animal electrophysiology and/or human psychophysics), but is not required to have any previous experience.

Jan. 21, 2016

PhD positions at NJIT (Fall 2016)

by Victor Matveev

Dear colleagues, The Department of Mathematical Sciences at New Jersey Institute of Technology (NJIT) is inviting strong candidates to apply to one of our graduate Ph.D. program tracks: (1) Applied Mathematics, or (2) Applied Probability & Statistics. The Department's research areas span Mathematical Biology & Computational Neuroscience, Fluid Dynamics & Materials Science, Wave Propagation, Scientific Computing, and Applied Probability and Statistics, including Biostatistics. Teaching and research assistantships are available, and include a tuition waiver and a competitive stipend. For more information, please email us (math(a)njit.edu, CC to: matveev(a)njit.edu, kondic(a)njit.edu) and visit the following pages: http://catalog.njit.edu/graduate/science-liberal-arts/mathematical-sciences… http://catalog.njit.edu/graduate/admissions-financial-support/admissions/ http://math.njit.edu https://web.njit.edu/~matveev/NJIT_DMS_PhD_flyer.pdf Although the NJIT Admissions site lists December 15 2015 as the deadline, applications for Fall 2016 are still considered; we recommend submitting all application materials by February 8, 2016. Sincerely -- Victor Matveev -- _________________________________________________ Victor Matveev, Associate Professor Applied Math, Biophysics & Computational Neuroscience Department of Mathematical Sciences New Jersey Institute of Technology Newark, NJ 07102-1982 Office: Cullimore Hall 616 E-mail:matveev@njit.edu http://web.njit.edu/~matveev/

Jan. 21, 2016

NEURAL COMPUTATION - February 1, 2016

by Terry Sejnowski

Neural Computation - Volume 28, Number 2 - February 1, 2016 Available online for download now: http://www.mitpressjournals.org/toc/neco/28/2 ----- Article Correlational Neural Networks Sarath Chandar, Mitesh M Khapra, Hugo Larochelle, and Balaraman Ravindran Letters Timing of Cortical Events Preceding Voluntary Movement Victor L. Vvedensky, Andrey O. Prokofyev Mutual Information, Fisher Information, and Efficient Coding Xue-Xin Wei, Alan A Stocker Memory Stacking in Hierarchical Networks Johan Westok, Patrick J. C. May, and Hannu Tiitinen Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis Isabel Valera, Francisco J. R. Ruiz, Pablo M. Olmos, Carlos Blanco, and Fernando Perez-Cruz Filtering With State-Observation Examples via Kernel Monte Carlo Filter Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton, and Kenji Fukumizu ------------ 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 ------------

Jan. 21, 2016

ICLR 2016 Workshop Track - Call for Extended Abstracts

by Hugo Larochelle

------------------------------------------------------------------------------------- 4th International Conference on Learning Representations - Workshop Track (ICLR 2016) ------------------------------------------------------------------------------------- Website: http://www.iclr.cc/ Workshop Track - Extended abstract deadline: February 18th, 2016 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. 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 ICLR features two tracks: a Conference Track and a Workshop Track. However, this year, conference and workshop submissions are reviewed separately, in two different periods. With the Conference Track already under way, this call for extended abstract is in relation to the Workshop Track. Extended abstracts submitted to the Workshop Track should be 2-3 pages long (excluding references) and describe late-breaking developments. This track is meant to carry on the tradition of the former Snowbird Learning Workshop. These contributions are considered as workshop papers (and can be published elsewhere). They will be lightly reviewed by ICLR reviewers. Note that some of the conference submissions that are not accepted to the Conference Track will also be invited to be presented under the Workshop Track. ICLR Submission Instructions - Workshop Track --------------------------------------------- By February 18th, 2016, 2:00 PM Pacific Standard time, authors must submit the PDF of their extended abstract to openreview. For more information on preparing your extended abstract, including style files and the URL for the openreview ICLR 2016 Workshop Track website, please see http://www.iclr.cc/doku.php?id=iclr2016:main Acceptance decisions of extended abstract will be sent by March 28th. At least one author of each accepted extended abstract will be required to register to the ICLR event and present their work in poster format. 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

Jan. 21, 2016

Senior software developer position available at the SimLab Neuroscience, Juelich Research Centre

by Abigail Morrison

Dear colleagues, we are looking to recruit a senior scientific software developer at the Simulation Lab Neuroscience at the Juelich Research Centre, Germany. Our focus is on exploiting high performance computing to solve fundamental problems in neuroscience. If you have an interest in leading and participating in projects to develop innovative neuroinformatics applications on Europe's finest supercomputers, we would like to hear from you. For a full description and details of how to apply, please see the announcement on our website: http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2016-001-EN… All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Institute of Cognitive Neuroscience Ruhr-University Bochum http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.ikn.psy.ruhr-uni-bochum.de 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

Jan. 20, 2016

4 Year Lecturer Position at QUT Across Robotics, Neuroscience and Computer Vision - final call for applications

by Michael Milford

We have a 4 year Lecturer Position available at QUT to work closely with my research group at the boundary between robotics, neuroscience and computer vision, developing Frankenstein models of visual and spatial intelligence that combine the best performing and best understood parts of human, animal and insect brains. Here's the ad: http://tinyurl.com/nzdujv3 Some of the highlights: * You'll get to push the boundaries of our understanding of the brain and how we can model it to create new technologies and capabilities for robotics and AI * Minimize that start-up lag: you'll land in the middle of a large research group and have the opportunity to immediately get involved in the supervision of several PhD students working in the area - in fact, your ability to effectively lead and supervise PhD students is critical to this role * Tap into collaborations with some of the world's top roboticists, neuroscientists and computer vision researchers at leading international institutions including David Cox at Harvard University, Michael Hasselmo at Boston University, Andrew Davison at Imperial College London, Barbara Webb at Edinburgh University and many more. * Get access to top local researchers and major projects including the $19,000,000 Australian Centre for Robotic Vision, the $676,000 project this position is associated with, as well as multiple other projects including a $3,000,000 Strategic Investment in Farm Robotics. * You'll have the opportunity to teach into some of the most fun, engaging and fulfilling robotics-related units at our university. Videos of some of the units we teach can be found at https://youtu.be/FBEINbpovBE and https://youtu.be/_2mp98Sk6fQ. * Work in the heart of Brisbane, a modern bustling city of 2 million people, located near to amazing beaches and vast swathes of untouched wilderness. If you love hiking / running / cycling / swimming / surfing / parasailing, you can find it here. Catch a short flight and you're on the Great Barrier Reef or in the Barossa Valley. * Be immersed in a large, very successful and sociable robotics group of more than a hundred academics, postdocs and students, in a brand new building space. Here's the ad again: http://tinyurl.com/nzdujv3 Best regards, Michael Michael Milford Associate Professor | ARC Future Fellow | Microsoft Faculty Fellow | Chief Investigator, Australian Centre for Robotic Vision Australian Centre for Robotic Vision | Electrical Engineering and Computer Science School Science and Engineering Faculty | Queensland University of Technology

Jan. 20, 2016