- Comp-neuro - lists.cnsorg.org

Postdoctoral and Ph.D. positions at the Ben Gurion University, Israel
by David Golomb March 27, 2014

March 27, 2014

Funded postdoctoral and Ph.D. positions in theoretical and computational neuroscience or experimental neurophysiology are available at the Ben-Gurion University, Be'er-Sheva, Israel. We are looking for highly motivated post-doctoral fellows and PhD students to lead projects aiming to explore the rodent whisker somatosensory system, the visual system, and possible applications to robotics. Fellows and students will participate in collaborative research combining neurophysiology and computational neuroscience with emphasis on the dynamic transformation of sensory information along the sensory pathways at the brainstem, thalamic and cortical levels, as well as sensory-motor control. Candidates should have a strong background in neurophysiology, physics, mathematics or electrical engineering, and be proficient programmers and creative thinkers. The Ben-Gurion University has strong and interacting neuroscience and robotic communities. Be'er-Sheva is within one-hour train ride from Tel-Aviv.* * ***Deadline: May 1, 2014 or until position fulfilled.* For more information, please contact: Prof. David Golomb -- golomb(a)bgu.ac.il <mailto:golomb@bgu.ac.il>__ Prof. Rony Azouz -- razouz(a)bgu.ac.il <mailto:razouz@bgu.ac.il> Dr. Maoz Shamir -- shmaoz(a)bgu.ac.il <mailto:shmaoz@bgu.ac.il>

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Computational Approaches to Memory and Plasticity: deadline approaching
by Subhasis Ray March 27, 2014

March 27, 2014

(With apologies for cross postings) Reminder for the international summer school at NCBS, Bangalore, organized by Dr. Upinder Bhalla. The deadline for application is 30 March 2014. This 15 day workshop will involve both lectures and hands-on tutorials. The confirmed speakers are: Sumantra Chattarji (NCBS, Bangalore) Xiao-Jing Wang (New York University, New York) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Claudia Clopath (Imperial College, London) Eve Marder (Brandeis University, Waltham/Boston) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Arthur Wingfield (Brandeis University, Waltham/Boston) Michael Hausser (University College, London) Arvind Kumar (Bernstein Center, Freiburg) Stefano Fusi (Columbia University, New York) Raghav Rajan (Indian Institute of Science Education and Research, Pune) Further details and application form are available here: http://ncbs.res.in/camp/ ------ Subhasis Ray NCBS, TIFR GKVK Campus Bellary Road Bangalore 560065 +91 80 67176520

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Summer Workshop on the Dynamic Brain, Friday Harbor: deadline approaching!
by Adrienne Fairhall March 27, 2014

March 27, 2014

Reminder that applications for the Summer Workshop on the Dynamic Brain, co-organized by the Allen Institute for Brain Science and the Computational Neuroscience Program at the University of Washington and directed by Drs. Christof Koch and Adrienne Fairhall, are due on April 1st. Application procedures and more information can be found at http://courses.washington.edu/braindyn/ . This intensive two week summer course aims to give advanced students – graduate students, postdocs and faculty – a rapid introduction to the current state of understanding of the neurobiology of sensory processing, including anatomy, physiology and neural coding; tutorials on the tools of the Allen Brain Institute; and an opportunity to carry out an informatics or computational research project with the guidance of faculty. The experimental focus is on vision in rodents. Faculty will include: Christof Koch Wyeth Bair Jay Neitz Clay Reid Shawn Olsen Adrienne Fairhall Rajesh Rao Anne Churchland Hongkui Zeng Bill Howe

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Fwd: a foundation professor in computational neuroscience at Monash, Australia
by Naotsugu Tsuchiya March 26, 2014

March 26, 2014

We seek to appoint a dynamic and talented principal investigator to lead the development of Computational Neuroscience at Monash University. The successful candidate is expected to have an internationally recognised track record of scientific achievement and demonstrable ability to build a cutting edge multidisciplinary research platform that will transform the landscape of computational neuroscience at Monash, within Australia and internationally. This appointee will complement and integrate with experimental neuroscience researchers in the new Faculty of Biomedical and Psychological Sciences who work across a wide range of levels including single-unit recordings in non-human primates through to in vivo EEG and functional MRI in humans. These collaborations will leverage existing Monash University research platforms such as Monash Biomedical Imaging and the MASSIVE Supercomputing facility, as well as the newly established ARC Centre of Excellence for Integrative Brain Function to undertake novel, multi-disciplinary research programs. An excellent remuneration package is available for both the principal investigator and their team. Enquiries Confidential enquiries should be directed to either Professor Kim Cornish, Head of the School of Psychological Sciences, tel: +61 3 9902 0488 or email: kim.cornish(a)monash.edu or Professor Mark Bellgrove, Director, Research Strategy, School of Psychological Sciences, tel: +61 3 9902 4200 or email: mark.bellgrove(a)monash.edu Closing Date Friday, 15 May, 2014, 11:55pm Aus. Standard Daylight Time Applications Expressions of interest, comprising a cover letter and CV should be submitted as part of your application. The University reserves the right to appoint by invitation. For details, please check http://jobs.monash.edu.au/jobDetails.asp?sJobIDs=523000&lWorkTypeID=&lLocat… -- ------------------------------------------------------------------------- Nao (Naotsugu) Tsuchiya, Ph.D. 1. ARC Future Fellow & Associate Professor Tsuchiya Laboratory School of Psychological Sciences Faculty of Medicine, Nursing and Health Sciences, Monash University 2. Japan Science and Technology Agency (JST), Japan 3. Visitor, RIKEN, Japan 4. Visitor, Caltech, USA homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage/Main.html

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Advanced Course in Computational Neuroscience 2014
by Máté Lengyel March 26, 2014

March 26, 2014

ADVANCED COURSE IN COMPUTATIONAL NEUROSCIENCE August 3 - 30, 2014, FIAS, Frankfurt, Germany http://fias.uni-frankfurt.de/accn/ *** NOTE EXTENDED DEADLINE FOR APPLICATIONS *** Applications accepted: February 10, 2014 – March 31, 2014 SCIENTIFIC DIRECTORS: * Ehud Ahissar (Weizmann Institute, Israel) * Dieter Jaeger (Emory University, USA) * Máté Lengyel (University of Cambridge, UK) * Christian Machens (Champalimaud Neuroscience Programme, Portugal) LOCAL ORGANIZERS: * Jochen Triesch (FIAS, Frankfurt, Germany) * Hermann Cuntz (FIAS & ESI, Frankfurt, Germany) FUNDING: FENS, IBRO, FIAS, MPI Brain Research, Hertie Foundation The ACCN is for advanced graduate students and postdoctoral fellows who are interested in learning the essentials of the field of computational neuroscience. The course has two complementary parts. Mornings are 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 pursue a project of their choosing under the close supervision of expert tutors. This gives them practical training in the art and practice of neural modeling. The first week of the course introduces students to essential neurobiological concepts and to the most important techniques in modeling single cells, synapses and circuits. Students learn how to solve their research problems using software such as MATLAB, NEST, NEURON, Python, XPP, etc. During the following three weeks the lectures cover networks and specific neural systems and functions. Topics range from modeling single cells and subcellular processes through the simulation of simple circuits, large neuronal networks and system level models of the brain. The course ends with project presentations by the students. The course is designed for students 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 as well as some computer experience. Students of any nationality can apply. Essential details: * Course size: about 30 students. * Fee (which covers tuition, lodging, meals and excursions): EUR 750. * Scholarships and travel stipends are available. * Application start: February 10, 2014 * Application deadline: March 23, 2014 * Deadline for letters of recommendation: March 23, 2014 * Notification of results: May, 2014 Information and application http://fias.uni-frankfurt.de/accn/ Contact address: accn(a)fias.uni-frankfurt.de FACULTY Erik De Schutter (Okinawa Institute of Science and Technology, Japan), Dieter Jaeger (Emory University, USA), Astrid Prinz (Emory University, USA), Charles Wilson (University of Texas, San Antonio, USA), Michael Hausser (University College London, UK), Sophie Deneve (Ecole Normale Superieure, France), Christian Machens (Champalimaud Centre for the Unknown, Portugal), Jochen Triesch (FIAS, Germany), Misha Tsodyks (Weizmann Institute, Israel), Carl van Vreeswijk (CNRS Paris, France), Peter Dayan (University College London, UK), Joern Diedrichsen (University College London, UK), Máté Lengyel (University of Cambridge, UK), Zhaoping Li (University College London, UK), Tatjana Tchumatchenko (MPI for Brain Research, Frankfurt, Germany), Ehud Ahissar (Weizmann Institute, Israel), Merav Ahissar (Hebrew University, Israel), Nava Rubin (Universitat Pompeu Fabra, Spain) General Interest Lectures: Hans-Joachim Pflueger (Freie Universitaet Berlin, Germany), Erin Schuman (MPI for Brain Research, Germany), Erik De Schutter (Okinawa Institute of Science and Technology, Japan), J. Kevin O'Regan (Paris Descartes University, France) Tutors: Daniel Miner (Frankfurt, Germany), Andreea Lazar (Frankfurt, Germany), Wieland Brendel (Lisbon / Tuebingen, Portugal / Germany), Sina Tootoonian (Cambridge, UK), Peter Jedlicka (Frankfurt, Germany) SECRETARY DURING THE COURSE Chris Ploegaert (University of Antwerp, Belgium) -- 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 332 662 email: m.lengyel(a)eng.cam.ac.uk web: www.eng.cam.ac.uk/~m.lengyel

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post-doc available in computational neuroscience applied to regenerative biology
by Levin, Michael March 25, 2014

March 25, 2014

A funded post-doctoral position is available at Tufts University (near Boston) in the lab of Dr Michael Levin - www.drmichaellevin.org to work on applications of computational neuroscience to developmental biology and regenerative medicine. My group studies the role that slow bioelectrical communication plays in coordinating cell activity towards building and repairing large-scale anatomical structures (as occurs during embryogenesis and regeneration in species like salamanders and planaria, which can rebuild whole body parts). Through the last 14 years, we've shown that distributions of resting potentials in non-neural somatic tissues (and their dynamics via gap junctions, or electrical synapses) play an important part in regulating growth and form (having developed molecular-genetic tools for tracking and altering resting potentials in vivo). We hope to take some ideas and approaches from cognitive science and computational neurobiology to understand how memories of shape and pattern are stored in non-neural network electrical dynamics. This project can be described as cracking the bioelectric code to understand the semantics encoded in electrical signaling among non-neural cells. We will build in silico models of shape memory storage in electrically-connected (slow) cell networks and then implement them in real embryonic (frog, chick) or bioengineered (human) tissues to test and refine the models. The ideal applicant will have a strong background in computational neuroscience (understanding how activity of neurons adds up to logic, memory, and decision-making in simple circuits); experience in computer modeling is a strong plus. This is a very interdisciplinary project and ideal for someone who is 1) strong in basic computational neuroscience, 2) likes thinking way outside the box in a novel area, 3) wants to extend their repertoire and training to include developmental, regenerative, and molecular biology, and 4) wants to contribute to an entirely new area of deep basic and clinical significance. Please check our website and contact michael.levin(a)tufts.edu if interested. --- Dr. Michael Levin Biology Department, and Tufts Center for Regenerative and Developmental Biology Tufts University Suite 4600, 200 Boston Ave. Medford, MA 02155-4243 Tel. (617) 627-6161 Fax: (617) 627-6121 email: michael.levin(a)tufts.edu http://www.drmichaellevin.org/ http://www.cellregeneration.org/ Center Administrator: William F. Baga Tel. (617) 627-5735 Fax: (617) 627-5035 email: william.baga(a)tufts.edu

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Ninth Summer School on Advanced Statistics and Data Mining (Madrid, June 23rd - July 4th, 2014)
by asdm＠fi.upm.es March 25, 2014

March 25, 2014

Dear colleagues, The Technical University of Madrid (UPM) will once more organize the summer school on 'Advanced Statistics and Data Mining'. The summer school will be held in Madrid, between June 23rd and July 4th. This year's programme comprises 12 courses divided into 2 weeks. Attendees may register in each course independently. Early registration is now *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM Please, send this information to your colleagues, students, and whoever may find it interesting. Best regards, Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Laura Anton-Sanchez. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 23rd - June 27th, 2014) * 1st session: 9:30 - 12:30 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Course 2: Time Series(15 h) Basic concepts in time series. Descriptive methods for time series. Linear models for time series. Extensions. 2nd session: 13:30 - 16:30 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Course 4: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Course 6: Feature Subset Selection (15 h) Introduction. Filter approaches. Wrapper methods. Embedded methods. Advanced topics. Practical session. * Week 2 (June 30th - July 4th, 2014) * 1st session: 9:30 - 12:30 Course 7: Statistical Inference(15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Course 8: Bayesian Classifiers (15 h) Discrete predictors. Gaussian Bayesian networks-based classifiers. Other Bayesian classifiers. Bayesian classifiers for: positive and unlabeled data, semi-supervised learning, data streams, temporal data. 2nd session: 13:30 - 16:30 Course 9: Text Mining (15 h) Introduction. Fundamentals. Language Modeling. Text Classification. Information Extraction. Course 10: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. 3rd session: 17:00 - 20:00 Course 11: Support Vector Machines and Convex Optimization (15 h) Introduction. SVM models. SVM learning algorithms. Convex non differentiable optimization. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs.

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Fully funded PhD position: computational neuroscience / complex system theory
by Prof. Claudius Gros March 25, 2014

March 25, 2014

I would like to bring your attention to our PhD-program in Complex Dynamical Systems Theory / Computational Neurosciences At the Institute for Theoretical Physics, Goethe University Frankfurt Field(s): complex systems theory, computational neurosciences neural models and networks, dynamical systems Application deadline: April 27, 2014 Supervisor: Prof. Dr. Claudius Gros E-mail: cgr(a)itp.uni-frankfurt.de Address: Institute for Theoretical Physics, Goethe University Frankfurt, Job description: Applications are invited for a fully funded PhD position at the Institute for Theoretical Physics, Frankfurt University. We are developing new models and generative principles for the brain using a range of toolsets from dynamical systems theory and computational neurosciences. Examples are new objective functions and generating functionals, attractor metadynamics, transient state dynamics and self-limiting Hebbian plasticity rules. Several subjects are available for the announced PhD thesis including studies of the autonomous brain dynamics and/or studies of new synaptic plasticity rules, like trace formulations of STDP and the interplay between short term synaptic plasticity and neural dynamics. The work will include analytical investigations and numerical simulations of neural models and neural networks, using the toolset of dynamical systems theory. The candidates should have a Diploma/Master in physics with an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and/or artificial or biological cognitive systems is expected. The degree of scientific research experience is expected to be on the level of a German Diploma/Master. The appointments will start summer 2014, for up to three years. Interested applicants should submit a curriculum vitae, a list of publications and arrange for two letters of reference to be sent to the address below. Prof. Dr. C. Gros Institute for Theoretical Physics Goethe University Frankfurt Max-von-Laue-Str. 1 60438 Frankfurt am Main Germany cgr(a)itp.uni-frankfurt.de http://itp.uni-frankfurt.de/~gros ***************************************** *** Prof. Dr. Claudius Gros *** *** +49 (0)69 798 47818 *** *** http://itp.uni-frankfurt.de/~gros *** ***************************************** -------------------------------------------------------- --- Complex and Adaptive Dynamical Systems, A Primer --- --- A graduate-level textbook, Springer (2008/10/13) --- --------------------------------------------------------

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Position for a Senior Postdoctoral Neuroscientist
by Ileana Hanganu-Opatz March 25, 2014

March 25, 2014

Invitation for applications: A postdoctoral position for neurophysiology and optogenetics is available at the Department of Developmental Neurophysiology, University Medical Center Hamburg, Germany. Our group investigates the synchronized patterns of electrical activity in the immature brain, their relevance for the development of cognitive and behavioral abilities and their impairment associated with neurological disorders, such as perinatal ischemia and schizophrenia (www.zmnh.uni-hamburg.de/zmnh/groups/hanganu/hanganu) We seek a Senior Postdoctoral Neuroscientist to develop, execute and analyze state-of-the-art electrophysiological, optogenetic, anatomical and behavioral experiments in rodents as part of a research project aiming to elucidate the neuronal circuitry accounting for the maturation of cognitive and multisensory abilities. The position offers an excellent opportunity to perform highly collaborative research within the DFG-funded Priority Program 1665 and Collaborative Research Center 936. Qualified candidates should hold a Ph.D, M.D. or equivalent qualification, and should have outstanding certificates and good publication record. Candidates are also expected to have significant experience in electrophysiology and optogenetics as well as strong background in mathematics with good programming experience (MATLAB). Good communication skills, creative and independent thinking are mandatory. The position is available from September 2014 or later and will run initially for 3 years. The salary will be on the level of the German public service research salary (E13-14, 40.000-45.000 EUR per annum, depending on experience). Applications including (i) CV, (ii) a brief statement of expertise and interests, (iii) academic achievements and list of publications and (iv) 2 letters of reference should be sent to *Prof. Dr. Ileana Hanganu-Opatz*by email (*hangop(a)zmnh.uni-hamburg.de*) Incomplete applications will not be considered. For further information please contact --------------------------------------------------------------------- Prof. Dr. Ileana Hanganu-Opatz, PhD University Medical Center Hamburg-Eppendorf Developmental Neurophysiology Postal address: Center for Molecular Neurobiology (ZMNH) Falkenried 94 20251 Hamburg Germany Phone: +49 (0) 40 7410 58966 Fax: +49 (0) 40 7410 58925 Email: ileana.hanganu-opatz(a)zmnh.uni-hamburg.de i.hanganu-opatz(a)uke.de Website: www.zmnh.uni-hamburg.de/zmnh/groups/hanganu/hanganu Website SPP 1665: www.spp1665.de -- Pflichtangaben gemäß Gesetz über elektronische Handelsregister und Genossenschaftsregister sowie das Unternehmensregister (EHUG): Universitätsklinikum Hamburg-Eppendorf Körperschaft des öffentlichen Rechts Gerichtsstand: Hamburg Vorstandsmitglieder: Prof. Dr. Christian Gerloff (Vertreter des Vorsitzenden) Prof. Dr. Dr. Uwe Koch-Gromus Joachim Prölß Rainer Schoppik

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Call for Abstracts: Bernstein Conference 2014
by Kerstin Mosch March 25, 2014

March 25, 2014

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Research Associate Position at University of Manchester
by Sergio Davies March 24, 2014

March 24, 2014

https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=7520 You will join the SpiNNaker team, part of the Advanced Processor Technologies (APT) group within the School of Computer Science at Manchester. The APT group is a world-leading research centre, continuing the long and distinguished record of the University of Manchester in the field of Computer Architecture. This record includes the development of the world's first stored program computer, the invention of virtual memory and the building of the first practical Dataflow computer. The group's high international research profile has attracted a great deal of UK and EU funding and resulted in significant industrial collaboration. The APT staff have significant expertise in computer architecture, system software and Neuromorphic Engineering, which is demonstrated by its extensive industrial impact (e.g. the ICL Goldrush Database server, Amulet processors for ARM Ltd., and Transitive Corporation, now IBM Manchester, and Silistix Ltd. spin offs). As a Research Associate you will have a PhD (or equivalent experience) and possess proven research ability. As a Research Assistant a good/relevant MSc (or equivalent experience) is essential. You will also have knowledge in one or more of the following areas: 1. Hardware system development and commissioning including FPGA design, basic robotics, circuit board testing, microprocessor systems, ARM processors. 2. System software development including operating systems, parallel computing, C and Python programming. Informal Enquiries Informal enquiries may be made to Professor Steve Furber, ICL Professor of Computer Engineering Email: steve.furber(a)manchester.ac.uk More information can be found at: http://apt.cs.manchester.ac.uk http://apt.cs.man.ac.uk/projects/SpiNNaker/ http://www.prime-project.org http://apt.cs.manchester.ac.uk/people/sfurber *Please note for the Research Assistant post *if you do not have permission to work in the UK, the University of Manchester will not be able to obtain a Certificate of Sponsorship for you to take up this position. Therefore you must have valid immigration status and/or a UK visa valid for the duration of the contract. The University of Manchester values a diverse workforce and welcomes applications from all sections of the community. -- Dr Sergio Davies Research associate - APT Group Room IT 302 - IT Building School of Computer Science Oxford Road, Manchester The University of Manchester M13 9PL, U.K. mailto: daviess(a)cs.man.ac.uk mailto: sergio.davies(a)gmail.com http://apt.cs.man.ac.uk/people/daviess/

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Research Associate Position at University of Manchester
by Sergio Davies March 24, 2014

March 24, 2014

https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=7614 Applications are invited for the above post to work as research assistant/associate on the SpiNNaker project. The SpiNNaker architecture is optimized to support the simulation of simple (point-like) neurons and their connections (or synapses). This architecture now has a world-wide user base, drawn to a reliable and flexible platform for real-time neural network simulation; this community is comprised of both traditional computational neuroscientists and also scientists and engineers from application areas such as robotics. The position is linked to the PRiME EPSRC-funded Programme Grant led by the University of Southampton, with Imperial College, London, and the Universities of Manchester and Newcastle as partners. This position will run immediately until 12th May 2018. You will join the SpiNNaker team, part of the Advanced Processor Technologies (APT) group within the School of Computer Science at Manchester. The APT group is a world-leading research centre, continuing the long and distinguished record of the University of Manchester in the field of Computer Architecture. This record includes the development of the world's first stored program computer, the invention of virtual memory and the building of the first practical Dataflow computer. The group's high international research profile has attracted a great deal of UK and EU funding and resulted in significant industrial collaboration. The APT staff have significant expertise in computer architecture, system software and Neuromorphic Engineering, which is demonstrated by its extensive industrial impact (e.g. the ICL Goldrush Database server, Amulet processors for ARM Ltd., and Transitive Corporation, now IBM Manchester, and Silistix Ltd. spin offs). We are seeking a motivated researcher with knowledge in one or more of the following areas: 1. Hardware system development and commissioning including FPGA design, basic robotics, circuit board testing, microprocessor systems, ARM processors. 2. System software development including operating systems, parallel computing, C and Python programming. It is essential that candidates for the Research Associate appointment should possess proven research ability, a PhD or other equivalent experience, while a good/relevant MSc or other equivalent experience will be essential for the Research Assistant appointment. Please note that if you do not have permission to work in the UK, the University of Manchester will not be able to obtain a Certificate of Sponsorship for you to take up the Research Assistant position. All non EU/EEA candidates must have valid immigration status and/or a UK visa valid for the duration of the contract in order to be considered for this appointment. *Informal enquiries* Informal enquiries can be made to Professor Steve Furber, Email: steve.furber(a)manchester.ac.uk The University of Manchester values a diverse workforce and welcomes applications from all sections of the community. -- Dr Sergio Davies Research associate - APT Group Room IT 302 - IT Building School of Computer Science Oxford Road, Manchester The University of Manchester M13 9PL, U.K. mailto: daviess(a)cs.man.ac.uk mailto: sergio.davies(a)gmail.com http://apt.cs.man.ac.uk/people/daviess/

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Research Associate position at Bernstein Centre Freiburg, Germany
by Carsten Mehring March 24, 2014

March 24, 2014

Invitation for applications: Research Associate in Computational Neuroscience and Neurotechnology Bernstein Centre, University of Freiburg A research associate position (‘akademischer Rat’, A13Z) is available in the group of Carsten Mehring at the Bernstein Centre and the Institute of Biology 3 at the University of Freiburg, Germany. This is a new lab, established to study sensorimotor behavior and brain-machine interfaces. Research topics include: motor adaptation and skill learning; brain-machine and machine-brain interfaces; neuronal dynamics; decision making. The primary research tools are behavioural experiments, electrophysiology and neuroimaging (EEG, ECoG, fNIRS), transcranial electrical stimulation (tDCS&tACS), advanced neural signal analysis and computational modeling. We are looking for an enthusiastic scientist who has expertise in Computational Neuroscience and Neurotechnology. This is a full-time position, with an initial 3 years fixed-term contract that can be extended by another 3 years. The salary will be according to A13. The position includes teaching duties in neuroscience, which can be carried out in English. Starting date is flexible, if possible May/June 2014. The ideal candidate has a strong background in quantitative analysis, experience running behavioural and/or neurophysiological experiments and proficiency in programming. A PhD in a relevant field is required. The lab is located in Freiburg (Germany), which is in the southwest of Germany close to the French and Swiss borders. Freiburg has a vibrant academic community and our group is part of the Bernstein Centre Freiburg (http://www.bcf.uni-freiburg.de) and the cluster of excellence BrainLinks-BrainTools (http://www.brainlinks-braintools.uni-freiburg.de) which provide first-class environments for research on Computational Neuroscience and Neurotechnology. Applicants should email a CV, a letter of motivation, a short research statement (max. 1 page) and contact details for two academic references to carsten.mehring(a)biologie.uni-freiburg.de. Reviewing of applications starts on April, 15th. Further information: Carsten Mehring carsten.mehring(a)biologie.uni-freiburg.de http://www.bcf.uni-freiburg.de/people/details/mehring

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First neural connectomics challenge: from imaging to connectivity
by Demian Battaglia March 24, 2014

March 24, 2014

The brain contains nearly 100 billion neurons with an average 7000 synaptic connections. Recovering the exact wiring of the brain (connectome) at this neural level is therefore a daunting task. Traditional neuroanatomical methods of axonal tracing or electrophysiological direct assays cannot scale up to very large networks. Could there be alternative methods, such as inference algorithms, to recovering neural network structures from patterns of neural activity? This challenge (inaugurating a series of future "Connectomics" challenges) will stimulate research on network structure inference from calcium fluorescence data, including causal discovery methods. WHAT YOU GET: Time series of the activity of 1000 neurons in a culture (simulated calcium fluorescence data) WHAT YOU PREDICT: The directed connections between neurons. 45 days to go, 3000 $ allocated for the top three ranked competitors (if they accept to make an open release of their code ;-) Challenge submission website: https://www.kaggle.com/c/connectomics Over 70 teams are already attending! There will be $3000 in prizes awarded. We are an official challenge at IEEE WCCI 2014 meeting in Beijing, where challenge results will be spotlighted: http://www.ieee-wcci2014.org (see "accepted competitions") Participants may present their results at a dedicated workshop at ECML 2014 (Nancy, France): http://www.ecmlpkdd2014.org (see "discovery challenges") http://connectomics.chalearn.org/workshop (workshop webpage) The top-ranked challenge participants and authors of the best workshop papers will be invited to participate to full length submissions (individual or collective, including detailed post-challenge analytics and algorithm comparisons and benchmarking) to peer-reviewed journals, such as Frontiers in Neuroinformatics or PLoS Computational Biology. Calendar: May 5, 2014: End of challenge. May 20, 2014: All teams must turn in fact sheets. The three top ranking teams must turn in their code to qualify for prizes. The post-challenge verifications start. June 1, 2014: End of the post challenge verifications. Release of the official ranking. June 20, 2014: ECML workshop proceeding paper submission deadline. July 6-11, 2014: Result presentation at WCCI 2014, Beijing, China. August 30, 2014: Revised papers due for ECML workshop proceedings. Beginning of post-challenge papers design. September 15 or 19, 2014: ECML workshop, Nancy, France. Discussion of the results and preparation of post-challenge synthesis. For any information or request, please contact: Demian Battaglia, demian.battaglia(a)univ-amu.fr --- Demian Battaglia, PhD Institut de Neurosciences des Systèmes, Aix-Marseille Université - Marseille, France Bernstein Center for Computational Neuroscience - Göttingen, Germany http://www.nld.ds.mpg.de/~demian

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Deadline is Approaching:: CFP::4th DICTAP- IEEE-Thailand
by Natalie Walker March 23, 2014

March 23, 2014

% Apologies for cross posting% ==================================================== ======== 4th DICTAP 2014 || Call for Papers =========== The Fourth International Conference on Digital Information and Communication Technology and its Applications (DICTAP 2014) University of the Thai Chamber of Commerce, Bangkok, Thailand May 6-8, 2014 http://sdiwc.net/conferences/2014/dictap2014/ DICTAP 2014 is technically Co-Sponsored by IEEE- Thailand ==================================================== Paper Submission Deadline: April 06, 2014 ===================================== **Scope and Motivation** The Fourth International Conference on Digital Information and CommunicationTechnology and its Applications (DICTAP 2014) cover theoretical and practical aspects related to Information Systems, Communication Networks and Computing Technologies. The multi-thematic program of DICTAP 2104 focuses then on the major future scientific issues in Computing and Communication Networks. The scientific topics developed in his edition are divided into but not limited to the following tracks: - Networking, Communications and Security - Information Technology, Services and Architecture - Digital Information Management - PHY-Layer Communications and Signal Processing ====================================================

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The Scientific World Journal special issue titled 'Hybrid Systems to Investigate the Computational and Learning Properties of Neuronal Assemblies’
by Michela Chiappalone March 21, 2014

March 21, 2014

Dear colleagues, I am pleased to announce the extension of the deadline for submitting your contribution to the special issue of The Scientific World Journal (http://www.hindawi.com/journals/tswj/ titled ‘Hybrid Systems to Investigate the Computational and Learning Properties of Neuronal Assemblies’. The Scientific World Journal is open access and with an impact factor of 1.730. You can find the call for paper here: http://www.hindawi.com/journals/tswj/si/438539/cfp/. Potential topics include, but are not limited to: · Encoding of inputs and retrieval of memories in cultured and simulated neuronal networks · Learning and adaptation in cultured networks · Electrophysiological experiments in closed-loop systems · Mathematical neuronal network models as tools to deduce computational properties of neural circuits · Hybrid systems: living networks coupled to artificial ones · Software and hardware strategies to manipulate and control neuronal dynamics Deadline for article submission: May 30th, 2014; Publication date: October 17th, 2014. On behalf of the other guest editors [Paolo Massobrio (University of Genova, Italy), Danny Eytan (The Hospital for Sick Children, Canada), Paolo Bonifazi (Tel Aviv University, Israel) and Paul Tiesinga (Radboud University Nijmegen, The Netherlands)], I look forward to receiving your contribution! Best regards Michela Chiappalone Lead Guest Editor The Scientific World Journal ------------------------------------------------------------------------- Dr Michela Chiappalone, PhD NeuroTech Group Department of Neuroscience and Brain Technologies (NBT) Italian Institute of Technology (IIT) Via Morego 30 16163 Genova (Italy) e-mail : michela.chiappalone(a)iit.it<mailto:michela.chiappalone@iit.it> web-site : www.iit.it<http://www.iit.it/> direct phone : +39 010 71781743_

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Ph.D. position in Systems and Control
by Kristiaan Pelckmans March 21, 2014

March 21, 2014

re: A fully funded Ph.D. graduate study in Uppsala University, Sweden, Department of Information Technology, Division of Systems and Control (4yrs.+1yr. teaching). subject: This position aims at relating modern insights in (Online) Machine Learning (OML) to the esteemed tool of the Kalman Filter (KF). OML has led to renewed insights in such tasks as optimisation, multiple-armed bandits algorithms and sequential designs, and comes nowadays with a solid theoretical underpinning. The KF on the other hand, is the workhorse of the control-engineering, and is for example used as the observer of choice in many state-feedback schemes. It is analysed and found optimal in different settings. Integrating KFs in a modern OML setting would provide new insights and modifications to basic schemes.The particular focus would be how to extend the KF to the case of many variables. Modern techniques of OML have excelled in this topic, while traditional approaches as the KF have not been studied extensively in this regard. practical: This is a full-time funded position covering five years in total. The successful candidate is expected to spend 80% on this research challenge, as well as 20% on assisting in different (under-) graduate courses taught at our division. The deadline for application is April 22 (right after easter). The applicant can start directly after that (in spring 2014). Supervisor for this project is Kristiaan Pelckmans. Do send an email to kp(a)it.uu.se for further enquiries. Swedish citizens are encouraged to apply. A link to the official site of application will be sent out via the same channels in the near future.

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Lab Manager position at Ohio State
by Dirk Bernhardt-Walther March 20, 2014

March 20, 2014

---------- Forwarded message ---------- From: Sloutsky, Vladimir M. <sloutsky(a)psy.ohio-state.edu> Dirk, Can you please post the position below? Thanks! Vladimir -- Vladimir M. Sloutsky Professor Department of Psychology 239 Psychology Building 1835 Neil Ave. The Ohio State University Columbus, OH 43210 Office: (614)-247-4449 Lab: (614)-688-1235 Home Page: http://cogdev.osu.edu -------------------- Lab Manager/Coordinator Position Available Cognitive Development Laboratory Ohio State University Job Description: The Cognitive Development Laboratory at Ohio State University directed by Dr. Vladimir Sloutsky is looking for highly organized and well-spoken person to serve as a full-time lab manager. We seek a recent college graduate who has majored in psychology, cognitive science, neuroscience, or a related field and who is looking for additional research experience before going on to graduate school. The lab conducts research on conceptual development, category learning, and interactions between language and cognition in infants and children. Duties include managing research projects in the lab, creating stimuli, programming experiments, recruiting participants, and testing infant, child, and adult subjects, using behavioral, eye tracking, and ERP methodologies. There is the possibility of becoming a co-author on manuscripts submitted for publication. Administrative duties include recruiting, hiring, and training undergraduate volunteers, managing subject recruitment, purchasing equipment, managing human subject protocols, coordinating lab events and meetings, and general faculty support. This job offers competitive salary (commensurate with experience), health benefits, and a dynamic and intellectually stimulating work environment. Review of applications will start immediately and the position to begin as early as May 2014. A verbal 1-2-year commitment is required. The Ohio State University is a vibrant, research-centered public university, located in Columbus, Ohio. To apply for this position, please submit a cover letter and resume electronically to Priya Patel (patel.1489(a)buckeyemail.osu.edu) Please also be prepared to arrange three letters of recommendation. Specific Responsibilities: · Maintaining participant database. · Managing participant recruitment and participant scheduling. · Overseeing lab organization, including the supervision and training of research assistants. · Conducting research activities, including the development of experimental protocols, submission of IRB forms, and data collection, coding and analysis. · Additional administrative duties include requisition of new equipment and materials, and hardware/software maintenance. Required Experience: · Bachelors degree or equivalent in psychology, cognitive science, neuroscience, natural science, or a technical field. · Excellent skills interacting with infants and children as well as teachers and parents, and must be able to supervise undergraduate research assistants. · Experience working with infants or young children and strong interest in cognitive development. · Proficiency with Microsoft Office (Word, Excel, PowerPoint) and SPSS or equivalent statistical package and willing to learn E-Prime, Matlab, Adobe Director, and File Maker Pro. · Excellent verbal communication skills are essential as duties involve interacting with parents, teachers, and department administrators. · Excellent writing skills. Experience with eye-tracking and/or ERP data acquisition and data analysis is a plus but not required. -- ================================= Dirk Bernhardt-Walther, Ph.D. Assistant Professor, Department of Psychology Associate Director, Center for Cognitive and Brain Sciences The Ohio State University 200C Lazenby Hall 1835 Neil Avenue Columbus, OH 43210, USA bernhardt-walther.1(a)osu.edu <berhardt-walther.1(a)osu.edu> http://bwlab.psy.ohio-state.edu/

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Frontiers Research Topic: Memory Processes in Medial Temporal Lobe: Experimental, Theoretical and Computational Approaches
by Vassilis Cutsuridis March 20, 2014

March 20, 2014

Dear colleagues, we would like to inform you that our Research Topic organized with Frontiers in Neuroscience (Host Specialty: Frontiers in Systems Neuroscience) is still open and it will be accepting abstracts till *May 1st, 2014*. Our Research Topic is entitled: "Memory Processes in Medial Temporal Lobe: Experimental, Theoretical and Computational Approaches" Topic Editors: Motoharu Yoshida (University of Bochum) and Vassilis Cutsuridis (Foundation for Research and Technology - Hellas (FORTH)) Important deadlines ---------------------------- Abstract Submission Deadline: *May 1st, 2014* Article Submission Deadline: August 1st, 2014 Research Topic Description ---------------------------------------- The medial temporal lobe (MTL) includes the hippocampus, amygdala and parahippocampal regions, and is crucial for episodic and spatial memory. MTL memory function consists of distinct processes such as encoding, consolidation and retrieval. Encoding is the process by which perceived information is transformed into a memory trace. After encoding, memory traces are stabilized by consolidation. Memory retrieval (recall) refers to the process by which memory traces are reactivated to access information previously encoded and stored in the brain. Although underlying neural mechanisms supporting these distinct functional stages remain largely unknown, recent studies have indicated that distinct oscillatory dynamics, specific neuron types, synaptic plasticity and neuromodulation, play a central role. The theta rhythm is believed to be crucial in the encoding and retrieval of memories. Experimental and computational studies indicate that precise timing of principal cell firing in the hippocampus, relative to the theta rhythm, underlies encoding and retrieval processes. On the other hand, sharp-wave ripples have been implicated in the consolidation through the "replay" of memories in compressed time scales. The neural circuits and cell types supporting memory processes in the MTL areas have only recently been delineated using experimental approaches such as optogenetics, juxtacellular recordings and optical imaging. Principal (excitatory) cells are crucial for encoding, storing and retrieving memories at the cellular level, whereas inhibitory interneurons provide the temporal structures for orchestrating the activities of neuronal populations of principal cells by regulating synaptic integration and timing of action potential generation of principal cells as well as the generation and maintenance of network oscillations (rhythms). In addition, neuromodulators such as acetylcholine alter dynamical properties of neurons and synapses, and modulate oscillatory state and rules of synaptic plasticity and their levels might tune MTL to specific memory processes. The goal of the research topic is to offer a snapshot of the current stateof-the-art on how memories are encoded, consolidated, stored and retrieved in MTL structures. Particularly welcome will be studies (experimental or computational) focusing on the structure and function of neural circuits, their cellular components (principal cell and inhibitory interneurons), synaptic plasticity rules involved in these memory processes, network oscillations such as theta and sharp-wave ripples, and role of neuromodulators. Questions to be addressed: (1) Which areas or pathways within the MTL support encoding/consolidation/retrieval? (2) What neural activity defines specific memory processes? (3) What are the roles of neuromodulators in defining/switching these memory processes? (4) Could the role of synaptic plasticity be different in different memory processes? (5) What functional roles do the various inhibitory interneurons support during the encoding/consolidation/retrieval processes? About Frontiers Research Topics ------------------------------------------------ Frontiers Research Topics are designed to be an organized, encyclopedic coverage of a particular research area, and a forum for discussion and debate. Contributions can be of different article types (Original Research, Methods, Hypothesis & Theory, and others). Our Research Topic has a dedicated homepage on the Frontiers website, where contributing articles are accumulated and discussions can be easily held. Once all articles are published, the topic will be compiled into an e-book, which can be sent to foundations that fund your research, to journalists and press agencies, and to any number of other organizations. As the ultimate reference source from leading scientists, Frontiers Research Topic articles become highly cited. Frontiers is a Swiss-based, open access publisher. As such an article accepted for publication incurs a publishing fee, which varies depending on the article type. The publishing fee for accepted articles is below average compared to most other open access journals - and lower than subscription-based journals that apply page and color figure charges. Moreover, for Research Topic articles, the publishing fee is discounted quite steeply thanks to the support of the Frontiers Research Foundation. Details on Frontiers' fees can be found at http://www.frontiersin.org/about/PublishingFees. When published, your article will be freely available to visitors to the Frontiers site, and will be indexed in PubMed and other academic archives. As an author in Frontiers, you will retain the copyright to your own paper and all figures. The details regarding this Research Topic for Frontiers in Systems Neuroscience can be found at the following URL: http://www.frontiersin.org/systems_neuroscience/researchtopics/memory_proce… Should you choose to participate, please confirm by sending a quick email and then your abstract using the following link: http://www.frontiersin.org/submissioninfo Thanks in advance for your interest! Vassilis Cutsuridis and Motoharu Yoshida --- Vassilis Cutsuridis, PhD IMBB - FORTH Heraklion, Crete Greece

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NSG provides free access to supercomputers for parallel simulations
by Ted Carnevale March 20, 2014

March 20, 2014

The NSF-supported Neuroscience Gateway (NSG) http://www.nsgportal.org allows computational neuroscientists to run parallel simulations, free of charge, on supercomputers using tools like GENESIS, NEURON, NEST, Brian, and PyNN. Other tools will be added based on users' requests. NSG provides a simple web-based interface that makes it quick and easy to create an account, upload model code, run simulations, and get back results. To get started, go to http://www.nsgportal.org , click on the "Go to the NSG Portal" button, and follow the instructions in the sentence: "New users who are interested in getting an account should fill out the form and email it to nsghelp(a)sdsc.edu" For any questions or suggestions related to the NSG portal, please contact us at nsghelp(a)sdsc.edu The NSG developers team

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PhD in Cognitive Neuroscience
by Christoph T. Weidemann March 20, 2014

March 20, 2014

Applications are sought for a 3 year, fully-funded PhD position (UK & EU nationals) in the lab of Dr Christoph Weidemann at Swansea University, UK investigating context effects in cognition. The successful student will investigate how environmental statistics affect behaviour in "perceptual" and "recognition memory" tasks using computational modelling and rigorous empirical tests utilising dependent variables from choice responses (such as accuracy and response times) as well as brain activity (measured with EEG). Candidates should have substantial computer programming experience and quantitative skills. Prior experience in collecting / working with EEG data is desirable, but not essential. For more details and to apply: http://www.swan.ac.uk/postgraduate/scholarships/research/psychology-phd-con… For all inquires, contact Dr. Christoph Weidemann: ctw(a)cogsci.info

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RA position in Computational Tools for Optogenetics
by Nikolic, Konstantin March 19, 2014

March 19, 2014

[Apologies if you get multiple copies of this message] Imperial College London Department of Electrical and Electronic Engineering Research Associate in Computational Neuroscience Salary Range: £32,750– £34,500 per annum Full Time, fixed-term appointment for 12 months Applications are invited for a BBSRC funded Research Associate post on the development of multiscale computational tools for optogenetics. You will be based in the Centre for Bio-Inspired Technology (CBIT) http://www3.imperial.ac.uk/bioinspiredtechnology, Institute of Biomedical Engineering, Department of Electrical and Electronic Engineering, Imperial College London. You will work jointly with Dr Konstantin Nikolic (PI, CBIT & Department of Electrical & Electronic Engineering) and Dr Simon Schultz (Department of Bioengineering) on the mathematical and computational modeling of optogenetic (light-activated) ion channels (e.g. channelrhodopsin, halorhodopsin, ArchT, etc) and neurons expressing them. For details about the post please see: http://www.jobs.ac.uk/job/AIJ206/research-associate-in-computational-neuros…

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Call for posters/registration: Fourth International Symposium on Biology of Decision-Making, 26-28 May 2014 @ Paris, France
by Mehdi Khamassi March 18, 2014

March 18, 2014

[Please accept our apologies if you get multiple copies of this message] Dear colleagues, Registration is now open for the Fourth Symposium on Biology of Decision Making which will take place in Paris, France, on May, 26-28th 2014. Online registration is accessible at http://sbdm2014.isir.upmc.fr The deadline for poster submission is on April, 15th. The deadline for registration is on May, 1st. Registration fees (120 euros) include lunches, coffee breaks and access to social events. Please circulate widely and encourage your colleagues to attend. ------------------------------------------------------------------------------------------------ FOURTH SYMPOSIUM ON BIOLOGY OF DECISION MAKING (SBDM 2014) May 26-28, 2014, Paris, France Institut du Cerveau et de la Moelle, Hôpital La Pitié Salpêtrière, Paris, France. & Ecole Normale Supérieure, Paris, France. & Université Pierre et Marie Curie, Paris, France. http://sbdm2014.isir.upmc.fr ------------------------------------------------------------------------------------------------ PRESENTATION: The Fourth Symposium on Biology of Decision Making will take place on May 26-28, 2014 at the Institut du Cerveau et de la Moelle, Paris, France, with a satellite day at Ecole Normale Supérieure, Paris, France. The objective of this three day symposium is to gather people from different research fields with different approaches (economics, ethology, psychiatry, neural and computational approaches) to decision-making. The symposium will be a single-track, will last for 3 days and will include 6 sessions: (#1) Who is making decisions? Cortex or basal ganglia; (#2) New computational approaches to decision-making; (#3) A new player in decision-making: the hippocampus; (#4) Neuromodulation of decision-making; (#5) Maladaptive decisions in clinical conditions; (#6) Who is more rational? Decision making across species. CONFIRMED SPEAKERS: Bernard Balleine (Sydney University, Australia) Karim Benchenane (CNRS-ESPCI, France) Roland Benoit (Harvard, USA) Matthew Botvinick (Princeton University, USA) Anne Collins (Brown University, USA) Roshan Cools (Radboud Univ. Nijmegen, The Netherlands) Molly Crockett (UCL, UK) Jean Daunizeau (INSERM-ICM, France) Nathaniel Daw (NYU, USA) Kenji Doya (OIST, Japan) Philippe Faure (CNRS-UPMC, France) Lesley Fellows (McGill University, Canada) Algo Genovesio (Universita La Sapienza, Italy) Tobias Kalenscher (Universität Düsseldorf, Germany) Etienne Koechlin (CNRS-ENS, France) James Marshall (Sheffield University, UK) Genela Morris (Haifa University, Israel) Camilio Padoa-Schioppa (Washington Univ. St Louis, USA) Alex Pouget (Rochester University, USA) Pete Redgrave (Sheffield University, UK) Jonathan Roiser (UCL, UK) Masamichi Sakagami (Tamagawa University, Japan) Daphna Shohamy (Columbia University, USA) Klaas Stephan (Univ. Zurich & ETH Zurich, Switzerland) IMPORTANT DATES: April 15, 2014 Deadline for Poster Submission May 1, 2014 Deadline for Registration May 26-28, 2014 Symposium Venue ORGANIZING COMMITTEE: Thomas Boraud (CNRS, Bordeaux, France) Sacha Bourgeois-Gironde (La Sorbonne, Paris, France) Kenji Doya (OIST, Okinawa, Japan) Mehdi Khamassi (CNRS - UPMC, Paris, France) Etienne Koechlin (CNRS - ENS, Paris, France) Mathias Pessiglione (ICM - INSERM, Paris, France) CONTACT INFORMATION : Website, registration, poster submission and detailed program: http://sbdm2014.isir.upmc.fr Contact: sbdm2014 [ at ] isir.upmc.fr Questions about registration: sbdm2014-registration [ at ] 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 -- 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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Frontiers Computational Neuroscience call for papers on "Integrating computational and neural findings in visual object perception"
by Peters J (PSYCHOLOGY) March 18, 2014

March 18, 2014

Frontiers in Computational Neuroscience, special issue on "Integrating computational and neural findings in visual object perception" http://www.frontiersin.org/computational_neuroscience/researchtopics/integr… Abstract submission deadline: Apr 1st 2014 Full paper submission deadline: June 1st 2014 Topic editors: Judith Peters Maastricht University / The Netherlands Institute for Neuroscience, The Netherlands Hans Op De Beeck University of Leuven (KU Leuven), Belgium Rainer Goebel Maastricht University / The Netherlands Institute for Neuroscience, The Netherlands The advent of new imaging techniques such as ultra-high field fMRI and advanced multi-unit recordings provide insights into large-scale neural activation patterns underlying visual object perception with unprecedented detail. In parallel, innovative neuroscientific applications of machine learning and computational methods, including various encoding and decoding methods (Miyawaki et al., 2008; Naselaris et al., 2011), representational similarity analysis (Kriegeskorte et al., 2008; Op de Beeck et al., 2001), and hyperalignment (Haxby et al., 2011) have been developed, offering novel opportunities to tackle longstanding questions concerning the neural correlates of object representations (e.g., DiCarlo et al., 2012; Marr, 1982; Biederman, 1987). Likewise, new techniques to integrate simulated and empirical data (e.g., Braet, Kubilius, Wagemans, & Op de Beeck, in press; Peters et al., 2012, 2010; Goebel & De Weerd 2009) allow direct testing of neural findings against predictions of various computational object perception models, which may facilitate the incremental, cross-fertilized development of both biologically-validated machine vision models as well as computationally interpretable empirical models of neural object perception. The aim of this Research Topic is to provide a forum for state-of-the-art research integrating computational and empirical approaches to study the neural mechanisms underlying visual object perception as it is observed behaviorally in humans as well as other animals, including nonhuman primates and rodents. We welcome contributions addressing computational mechanisms underlying object perception related - but not limited - to key questions such as: * What is the nature of neural object representations (e.g., the degree of invariance, sparseness) and how do these representations change across different processing stages? * How are object features (e.g., Tanaka, 1996) computationally integrated into coherent object representations? * How do object representations in the ventral visual system allow invariant recognition without losing specificity to distinguish between similar exemplars? * How are object representations read-out by higher-order areas (e.g., hippocampus and prefrontal cortex), and how do current task instructions (e.g., between- versus within-category discrimination) or past experiences influence this read-out? * How are object perception mechanisms shaped by experience and development? * How can we optimally compare computer vision models to empirically-derived neural models based on human or animal object perception? Pre-submission inquiries can be sent to Judith Peters ( j.peters(a)maastrichtuniversity.nl<mailto:j.peters@maastrichtuniversity.nl>). All articles become freely available upon publication and benefit from the unique marketing tools developed by Frontiers. ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Judith Peters (PhD) Maastricht Brain Imaging Center (M-BIC), Maastricht University Faculty of Psychology and Neuroscience, Maastricht University Neuroimaging and Neuromodeling group, Netherlands Institute for Neuroscience, Amsterdam

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Open Frontiers in neuroRobotics Research Topic
by Ajaz Ahmad Bhat March 18, 2014

March 18, 2014

A new research topic in Frontiers in NeuroRobotics "Motor cognition in animals and animates: Melting Neuroscience with Embodied Robotics" is open for abstracts submission. Emerging trends in motor neuroscience now provide converging evidence for this perspective and substantiate the fact that action 'generation, observation, imagination and understanding' share underlying functional networks in the brain. In this sense, overt actions are just the tip of an iceberg: under the surface is hidden a vast territory of actions without movements (covert actions). Unravelling and unifying the neural/computational basis of such mechanisms is the essence of motor cognition. This Research Topic looks for novel insights that can help "melting" the gap between "how the brains do it" and how we can create "better artifacts i.e. autonomous robotic assistants" that can intelligently and dexterously support us in the worlds that we inhabit and create. Full details are: http://www.frontiersin.org/Neurorobotics/researchtopics/Motor_cognition_in_… Best regards, Ajaz Bhat PhD-Fellow ajaz.bhat(a)iit.it<mailto:ajaz.bhat@iit.it>

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