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International Neural Network Society (INNS) announces new Section on Big Data Analytics
by Asim Roy 20 Jun '14

20 Jun '14

I am pleased to announce that the International Neural Network Society (INNS) has formed a new Section on Big Data Analytics (BDA). Please visit the webpage http://www.inns.org/big-data-section for further information. Neural networks have certain distinct advantages over other forms of learning. They include: (1) well-developed methods for online incremental learning that involve simple computations, (2) no scalability issues, (3) they can learn from all of the data instead of samples of data, (4) being able to use massively parallel computations unlike other learning methods, (5) availability of neuromorphic hardware for implementation of neural network learning, and (6) hardware-based real-time learning. Of course some challenges remain, including automation of learning that would avoid human intervention and tweaking of algorithms for every application and high-dimensional data. But we are making progress on these remaining challenges. Neural network based real-time learning should open the door to wider deployment of big data analytics. Fast and efficient learning, using massively parallel computations, is important to the Industrial Internet and streaming big data. So please join us in this exciting adventure by becoming a member of INNS and its Big Data Analytics Section. Visit http://www.inns.org/ for further information about the organization and its membership. We are also looking for industrial sponsors of this Section to do mini-workshops and other activities. We plan to have our first Big Data Analytics Section social gathering and organizational meeting at WCCI 2014 in Beijing. It will be on Monday (July 7) evening in the Peony room at the Continental Grand Hotel (2nd floor) from 6 pm to 10 pm. If you are planning to attend WCCI in Beijing, I invite you to join us at this first meeting. If you are interested in taking a leading role in this Section, please let me know (Asim.Roy(a)asu.edu<mailto:Asim.Roy@asu.edu>). Asim Roy Arizona State University Chair – Big Data Analytics Section www.lifeboat.com/ex/bios.asim.roy<http://www.lifeboat.com/ex/bios.asim.roy>

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[PhD] An integrated experimental and modeling approach to gaze orientation and learning
by Laurent Perrinet 20 Jun '14

20 Jun '14

An opening is available for a PhD project focusing on an integrated experimental and modeling approach to gaze orientation and learning. Please note that candidates should apply before July 15th, 2014. Cheers, Laurent Call for candidates for one PhD fellowship at the Institut de Neurosciences de la Timone CNRS & Aix-Marseille University (AMU) Gaze orientation and learning: an integrated experimental and modeling approach PhD supervisors: Anna Montagnini and Laurent Perrinet (InViBe team) How do we maintain the accuracy of our movements despite changes occurring in our environment or within the organism? Our research project is to shed a new light on this question within a unified theoretical framework centred on reinforcement learning. We will study visually driven, voluntary eye movements as a model for motor learning. Indeed, these provide an ideal experimental preparation to probe sensorimotor decisions across different time-scales, processing levels (from sensory encoding to the final categorical choice) and movement repertoire (e.g. smooth pursuit vs saccades). In addition, a remarkable flexibility of simple oculomotor behaviors has been highlighted, by manipulating the expectancy for sensory features or the outcome associated to particular motor responses. Behavioral experiments on human eye movements will be designed, implemented and used to benchmark new theoretical models based on the probabilistic framework. The main focus will be on the modulation of oculomotor behavior (latency and metric properties, such as amplitude or speed) that is observed in a changing environment, especially in relation to a dynamic reinforcement schedule. The proposed PhD is part of a project (Reinforcement and Eye Movements – REM, see http://invibe.net/LaurentPerrinet/TagAnrRem) funded by the French National Research Agency ANR, and it will be conducted in close collaborations with researchers at INT in Marseille (A. Montagnini, L. Perrinet and F. Danion) and at the University of Lille (L. Madelain and J. Jozefowiez). The Institut de Neurosciences de la Timone (see http://www.int.univ-amu.fr/?lang=en) brings together a large, young and dynamic community of scientists interested in frontline aspects of the integrative neurosciences. The net salary will be around 1430 euros per month. Applicants should have a keen interest in cognitive science and hold a Master or equivalent degree in a relevant field (computational or cognitive neuroscience, computer science, psychology, engineering, physics, or mathematics). The selection process will strongly favor candidates with excellent programming skills and/or experience with eye tracking and visual psychophysics. Knowledge of French is not mandatory, although willing to learn it will facilitate enjoying life in Marseille and its beautiful surroundings. Applications are now being accepted and until July 15th, 2014. Interested candidates should send a CV, brief summary of research accomplishments and interest, and the contact information for two to three referees familiar with the candidates’ backgrounds. Position needs to be filled by September, 1st, 2014. Please, send applications (in a single PDF file) to Anna.montagnini(a)univ-amu.fr and Laurent.perrinet(a)univ-amu.fr. Relevant publications Bogadhi A, Montagnini A, Perrinet LU, Mamassian P & Masson GS (2011) Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference. Vision Research 51, 867-880 Khoei MA, Masson GS, Perrinet LU (2013). Motion-based prediction explains the role of tracking in motion extrapolation. Journal of Physiology-Paris, 107(5):409—420 Bogadhi A, Montagnini A & Masson GS (2013) Dynamical interaction between retinal and extra-retinal signals in motion integration for smooth pursuit. Journal of Vision 13(13) : 1-25 Servant M, Montagnini A & Burle B (2014) Conflict tasks and the diffusion framework: Insight in model constraints based on psychological laws Cognitive Psychology, 72(2014):162-195 Simoncini C, Perrinet LU, Montagnini A, Pascal Mamassian, Guillaume S. Masson (2012). More is not always better: dissociation between perception and action explained by adaptive gain control. Nature Neuroscience 15(11):1596-603 Sanz-Leon P, Vanzetta I, Masson GS, Perrinet LU (2012) Motion Clouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception. Journal of Neurophysiology, 107(11):3217--3226, Montagnini A., Mamassian P., Perrinet L., Castet E. and Masson G. (2007). Bayesian modeling of dynamic motion integration. Journal of Physiology-Paris, Vol 101(1-3):64-77 Perrinet LU, Adams R, Friston K (2014) Active Inference, eye movements and oculomotor delays. Submitted. Adams RA, Perrinet LU, Friston K (2012) Smooth Pursuit and Visual Occlusion: Active Inference and Oculomotor Control in Schizophrenia. PLoS ONE, 7(10):e47502 Spering M, and Montagnini A (2011) Do we track what we see? Common versus independent processing for motion perception and smooth pursuit eye movements: A review. Vision Research 51: 836–852 Montagnini A and Chelazzi L (2005) The urgency to look: Prompt saccades for the benefit of perception. Vision Research, 45 (27): p. 3391-3401. Madelain, L., Herman, J. P., & Harwood, M. R. (2013) Saccade adaptation goes for the goal. Journal of Vision, 13(4). Madelain, L., Paeye, C., & Wallman, J. (2011) Modification of saccadic gain by reinforcement. Journal Neurophysiology, 106(1), 219-232.

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Postdoc position in computational neuroscience (University of Leicester, UK)
by Joaquín Navajas 20 Jun '14

20 Jun '14

Postdoc in computational neuroscience (University of Leicester, UK) Description: Spike sorting is the classification of single neurons from extra-cellular recordings based on their spike shapes. The main focus of your research will be the study and implementation of optimal spike detection and sorting techniques. For this you will study different techniques to improve the spike detection and sorting results and will then implement these advances in a graphic user interface and in batch codes to run in Matlab. Group: Centre for Systems Neuroscience (http://www.le.ac.uk/csn) Visit the University of Leicester job site for more details, input the job reference (SEN00493) and click search. http://www2.le.ac.uk/offices/jobs/opportunities/jobsearch Informal enquiries are welcome and should be made to Sue Atkinson, Research Centre Manager, sam45(a)le.ac.uk or 0116 252 3249.

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Call for Participation: The 2014 IEEE CIS / REGIM-Lab. Summer School on Computational Intelligence – Theory and Applications
by Stephen G Matthews 19 Jun '14

19 Jun '14

** Please accept our apologies if you have received multiple copies. ** ====================================================== 2014 IEEE CIS/REGIM-Lab Summer School on Computational Intelligence – Theory and Applications (SS-CITA 2014) http://cita.regim.org/ 11-14, August 2014, Ramada Plaza Tunis Hotel, Tunisia ====================================================== Sponsors: IEEE Computational Intelligence Society and REGIM-Lab. Registration: http://cita.regim.org/registration/ The main goal of the summer school is to provide undergraduate students, M.Sc. or PhD students, academics, and engineers from industry with hands-on knowledge on sophisticated Computational Intelligence (CI) algorithms and methods, most recent advances and developments in CI research, and substantial examples of successful CI applications to solving complex real-world problems. The school includes theoretical and practical sessions. The choice of such topic is based on the growing attention paid towards intelligent systems. The school aims also to discuss the challenges and to strengthen the connection between academia and industry in the area of Computational Intelligence. The program of the school includes theoretical and practical talks during four days from 11 to 14 August 2014. It also includes poster session. All students have to present their ideas / works in a poster. A best poster award will be announced in the closing session. Seven well-known speakers: http://cita.regim.org/speakers/ - Cesare Alippi, IEEE Fellow, Politecnico di Milano, Italy. Topic: Supervised Learning: from the Basics to Learning in non-stationary Environments - Farouk Cherif, University Sousse, Tunisia. Topic: Basics on Recurrent Neural Network - Robert John, University of Nottingham, United Kingdom. Topic: Type-2 Fuzzy Logic: Theory and Applications - Fakhri Karray, University of Waterloo, Canada. Topic: SVM , Fundamentals and Advanced Topics - Okyay Kaynak (IEEE CIS Distinguished Lecturer) IEEE Fellow, Bogazici University, Turkey & Harbin Institute of Technology (HIT), China. Topic: Intelligent Systems: An Assesment of the Past and the Prospects for the Future - Volker Märgner, Technische Universität Braunschweig, Germany. Topic: Historical Document Processing – An Application of Computational Intelligence - Ahmed Rubaai, Howard University, Washington, DC, USA - IEEE-IAS Publications Department chair. Topic: Computational Intelligence Techniques for Industrial Systems For further information, please don't hesitate to contact the Organizing Committee: http://cita.regim.org/organizing-committee/ ================================= Local information contact: Habib M. Kammoun IEEE CIS Tunisia Chapter E-mail: habib.kammoun(a)ieee.org

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Open PhD Position: Computational Modeling and Eye Tracking in Infancy Research
by Jochen Triesch 18 Jun '14

18 Jun '14

An opening is available for an interdisciplinary PhD project in the group of Jochen Triesch at the Frankfurt Institute for Advanced Studies (FIAS, http://fias.uni-frankfurt.de/de/) focusing on computational modeling and gaze-contingent eye tracking in infancy research. Gaze-contingent eye tracking techniques, which allow young infants to exert control over the course of the experiment, are currently opening up new ways of studying infant's cognitive development [1], training their cognitive abilities [2], and hold promise for diagnosing and treating developmental disorders. We are seeking an outstanding and highly motivated PhD candidate for an exciting project in collaboration with the developmental psychology group of Prof. Monika Knopf at Goethe University Frankfurt. Additional collaborators of our lab include leading developmental psychology and cognitive science labs in Italy (Prof. Gianluca Baldassarre, Rome), and the US (Prof. Chen Yu, Indiana University, Prof. Gedeon Deák, UC San Diego). Applicants should have a keen interest in cognitive development and hold a Master or equivalent degree in a relevant field such as cognitive science, computer science, psychology, engineering, physics, or mathematics. The candidate should have excellent programming skills (e.g. Matlab, Python, C/C++) and good analytic skills. Experience with eye tracking and knowledge in machine learning (e.g., reinforcement learning, neural networks, Bayesian models), computational neuroscience (attention and reward systems), and data analysis (time series analysis, hypothesis testing) are a plus. The Frankfurt Institute for Advanced Studies is a research institution dedicated to fundamental theoretical research in various areas of science. It is embedded into Frankfurt's recently established natural science research campus. Frankfurt is the center of one of the most vibrant metropolitan areas in Europe. Apart from being an economic and financial hub, it boasts rich cultural assets and repeatedly earns top rankings in worldwide surveys of quality of living. Applications should include a 1-2 page statement of research experience and interests, CV including publications, awards, and relevant course work, academic transcripts, and contact information for two to three references. All documents should be sent in pdf format. Send applications to application(a)fias.uni-frankfurt.de. We aim to fill the position during Fall 2014. [1] Wang Q, Bolhuis J, Rothkopf CA, Kolling T, Knopf M & Triesch J. (2012) Infants in Control: Rapid Anticipation of Action Outcomes in a Gaze-Contingent Paradigm. PLoS ONE 7(2): e30884. http:dx.doi.org/10.1371/journal.pone.0030884 [2] Wass SV, Porayska-Pomsta K & Johnson MH (2011). Training attentional control in infancy. Current Biology 21 (18), 1543-1547. http://dx.doi.org/10.1016/j.cub.2011.08.004 -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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CFP - SSD 2015 - Tunisia
by nabil derbel 18 Jun '14

18 Jun '14

Dear Colleagues, This is a friendly reminder of the 12th International Multi-Conference on Systems, Signals & Devices to be held in Sfax-Tunisia, from 16th - 19th of March 2015. Find at <http://www.ssd-conf.org/> www.ssd-conf.org/ssd15 the last news on the conference. Check there if a special sessions fits your interests. Students participation is strongly encouraged; they would participate to best paper student award. Paper submission must be via EDAS the Conference Manager : <http://edas.info/N17187> http://edas.info/N17187 The SSD15 Conference SSD is organized in five parallel tracks, available to all participants: SAC – Systems, Analysis and Automatic Control, which covers topics related to system design, modern control theory, robotics and human-machine interaction systems. PES – Power Electrical Systems, oriented to power systems and applications, from generation, management, control, monitoring and smart grids. CSP – Communications and Signal Processing, dealing with communication systems (radio, TV, antennas), digital and analog signal and image processing... SCI – Sensor, Circuits and Instrumentation Systems, covering all types of sensors and applications, interface circuits, sensors operability, instrumentation and micro and nanoelectronics. CIT – Computers and Information Technology, covering all types of Computer Technology; Embedded Systems; Cloud Computing; Distributed Systems; Real Time Systems. Key Dates Special session proposal: September 15, 2014 Regular paper submission: September 30, 2014 Acceptance notification: January 15, 2015 Final paper submission: January 30, 2015 Call for papers Papers should be up to 4 pages length, written in English (templates available at the website). Paper submission should be done electronically to <http://edas.info/N14687> http://edas.info/N14687. Papers will be reviewed by at least 2 or 3 reviewers. Final accepted papers will be published in the SSD’15 Proceedings which will be submitted for publication in IEEE Xplorer® after the conference. We are looking forward to welcoming you in Sfax, Tunisia. Kind regards, Jawhar Ghommam and Faouzi Derbel General Chairs ==============================================================

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Call for papers
by Cong Christine Guo 17 Jun '14

17 Jun '14

Dear neuroimaging researchers, We are running a special issue of IEEE Transactions on Autonomous Mental Development on "Multimodal Modeling and Analysis Informed by Brain Imaging". This special issue is dedicated to explore the interplay between cognitive neuroscience and multimedia content analysis. If your work concerns about using multimedia, such as films and music, as stimuli to understand the brain, or using brain imaging data to guide multimedia content analysis, this special issue could be a potential avenue for sharing your work. More details can be found at http://caid.cs.uga.edu/?name=article_info&xid=2480391402423658454. Please note all submissions are subject to normal reviews. Look forward to your contributions.

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Computational neuroscience at NI2014 in Leiden, Netherlands on August 25-27
by Malin Sandström 16 Jun '14

16 Jun '14

Want to learn more about new and exciting tools for neuroscience research, find new collaborators and discuss your latest results with a cross-disciplinary scientific audience? Then join us at NI2014 in Leiden, Netherlands, August 25-27! Our program includes keynote presentations by leading computational neuroscientists and workshops on describing synaptic dynamics, building cortical circuits, and modelling in open source collaborative projects. Keynotes: - Margarita Behrens: The epigenome and brain circuit changes during postnatal development - Mitya Chklovskii: Can connectomics help us understand neural computation? Insights from the fly visual system - Daniel Choquet: A nanoscale view into the dynamic of AMPA receptor organization in synapses - Viktor Jirsa: The Virtual Brain: a simulator of large-scale brain network dynamics - Michael Milham: Emerging models for biomarker identification - Felix Schürmann: In silico neuroscience – an integrative approach Workshops: - The Neuroinformatics of neuroanatomy. Chair: Maryann Martone. Speakers: Trygve Leergard, Jacopo Annese, Douglas Bowden, Mike Hawrylycz - Building the brain. Chair: Paul Tiesinga. Speakers: Geoff Goodhill, Tomomi Shigomori, Rodney Douglas, Nenad Sestan - Synaptic computation workshop. Chair: L. Niels Cornelisse. Speakers: Erik De Schutter, Bert Kappen, Alexander Walter, Michele Giugliano - Open collaboration in computational neuroscience. Chair: Angus Silver. Speakers: Stephen Larson, Padraig Gleeson, Rick Gerkin and Shreejoy Tripathy, Aurel A. Lazar Also including: - Special session on big data. Chair: Sean Hill. Speakers: Yike Guo, Asla Pitkanen. - Symposium on population-based neuroimaging (hosted by the INCF Netherlands Node) - Open community hackathon. See the full program here: http://neuroinformatics2014.org/program The abstracts are now available at http://www.frontiersin.org/events/Neuroinformatics_2014/2231 Early bird registration ends on July 25 (midnight, CET) Register at http://www.neuroinformatics2014.org/registration Watch the NI2014 promo video: http://www.youtube.com/watch?v=aEudq3SOwK0 We're looking forward to seeing you in August! -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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A new mechanism for linking some pieces of the cognitive brain puzzle
by Herbert Jaeger 14 Jun '14

14 Jun '14

Recipients of this mailing list may be interested to learn about a newly discovered neuro-computational mechanism. This mechanism, which I named "conceptors", suggests a common computational principle underneath phenomena as diverse as - incremental learning of dynamical patterns, - attentional focussing, - neural noise suppression, - morphing and modulating motor patterns, - learning pattern classes from a few prototype examples, - top-down bias control in hierarchical architectures, - Boolean combination of evidence in pattern classification. Conceptor-based algorithms are simple, cheap, and robust against noise and parameter variation. A number of fundamental neuro-computational problems become efficiently solved: - conceptors make it possible in the first place to govern a diversity of processing modes in a single recurrent neural network, - they enable incremental learning of temporal patterns with an option to quantify and monitor claimed neural memory capacity (coping with the catastrophic interference problem), - they lead to an auto-associative memory for dynamical patterns (a generalization of Hopfield networks to temporal patterns), - Boolean concept combinations and conceptual abstraction can be rigorously interpreted and implemented by the dynamics of recurrent neural networks (a robust solution for core parts of the neuro-symbolic integration problem). More information: 1. A video of a complex human motion sequence governed by a single RNN whose modes are governed by conceptors: http://youtu.be/DkS_Yw1ldD4 2. An informal introduction with many pictures (11 pages): http://arxiv.org/abs/1406.2671 3. A comprehensive technical report, including a link to Matlab code (195 pages): http://arxiv.org/abs/1403.3369 ------------------------------------------------------------------ Dr. Herbert Jaeger Professor for Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 Fax (+49) 421 200 49 3215 email h.jaeger(a)jacobs-university.de http://minds.jacobs-university.de ------------------------------------------------------------------

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*Save the Date* The Many Faces of Computation July 14 & 15
by Santamaria, Cookie 13 Jun '14

13 Jun '14

THE MANY FACES OF COMPUTATION July 14-15, 2014 Urey Room 2102, Urey Hall Building UC San Diego, La Jolla, CA Organizers: Christian Van den Broeck and Katja Lindenberg MONDAY, JULY 14th 9-10 a.m. Welcome and light snacks 10-11 a.m. Christian Van den Broeck "A short introduction to large deviations" 11 a.m.-12 noon Raul Toral "Efficient sampling of phase space" 12 noon-2 p.m. Lunch break and discussion time 2-3 p.m. Alberto Imparato "Efficiency at maximum power in molecular motors" 3-4 p.m. Ilkay Altintas "Workflow-driven science" 4-5 p.m. Discussion time TUESDAY, JULY 15th 9-10 a.m. Welcome and light snacks 10-11 a.m. Emre Neftci "From VLSI spiking neurons to practical applications and cognition" 11 a.m.-12 noon Michael Gilson "Plumbing the depths of entropy and enthalphy in molecular recognition" 12 noon-2 p.m. Lunch break and discussion time 2-3 p.m. Daniel Escaff "Down from systems of infinite to finite numbers of elements: Computational aspects of the analysis of resultant fluctuations" 3-4 p.m. Tristan Webb "Utilizing purely functional parallel strategies for spiking neural network simulations" 4-5 p.m. Discussion time

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Open postdoctoral position to study human episodic memories
by gabriel kreiman 13 Jun '14

13 Jun '14

We are seeking an exceptional postdoctoral researcher in Computational Neuroscience. The candidate will work on neurophysiological, cognitive, machine learning and computational approaches to understanding human episodic memories. The project will be part of a multidisciplinary effort with application to brain-machine interfaces working with Prof. Suthana, Prof. Mehta, Prof. Kreiman and Prof. Fried. Interested candidates should submit a CV and arrange for three letters of recommendation to be sent to gabriel.kreiman(a)tch.harvard.edu Position will be open until filled; send applications sooner rather than later if interested. For relevant work and publications, see http://www.physics.ucla.edu/~mayank/ http://klab.tch.harvard.edu/ http://www.cnl.ucla.edu/index.htm Gabriel Kreiman gabriel.kreiman(a)tch.harvard.edu klab.tch.harvard.edu -------------------------------------- Use code 9265358979 anywhere in the message to navigate through my anti-spam filters

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PhD scholarship at Nanyang Technological University, Singapore
by Jay Zhang 13 Jun '14

13 Jun '14

PhD scholarships are available at the School of Computer Engineering ( http://www.ntu.edu.sg/SCE) Nanyang Technological University, Singapore, starting in August 2015. Areas of interest including but not limited to: Multi-Agents; Modeling & Simulation; Data Mining and Analytics; CAS Optimization; Computer Graphics, Machine Learning, and any other areas related to future factories. Required Qualifications: (1) Bachelor or Master’s degree in CS or a related discipline; (2) Excellent programming skills is an asset; (3) Excellent English writing and speaking skills. How to apply: Interested applicants please attach your full CV and transcripts to zhangj(a)ntu.edu.sg

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Fwd: ADHDFund!
by Martijn Arns 12 Jun '14

12 Jun '14

Dear colleagues, I wanted to point your attention to the below new initiative, a crowd funding initiative for ADHD research. Martijn Arns Begin doorgestuurd bericht: Van: Sandra Kooij <s.kooij(a)psyq.nl<mailto:s.kooij@psyq.nl>> Onderwerp: ADHDFund! Datum: 12 juni 2014 10:55:46 CEST Aan: Undisclosed recipients:; Dear collegues, It is now time to pay attention to www.adhdfund.com<http://www.adhdfund.com/>! By the end of June, new slots for online research funding will be available. Why not yours??!! Submit your research now! ADHDFund connects patients and professionals for research on ADHD. You can put your online questionnaire here online, and/or ask for donations for your patient-oriented research proposal on video (crowdfunding). There are only two criteria to meet: quality and benefit for patients. The scientific board will check this beforehand. Please find the forms here: http://www.adhdfund.com/Research/Criteria#.U5VpjH8aySM ADHDFund started 2 months ago, so the 'CROWD' is still small. Therefore, it is wise not to ask for more than 5K at this time of development (it is required to get funded 100%, otherwise you receive nothing...). What after submission? With your study online, you will have to become active to ask your collegues, friends and patients to donate and support it, thereby increasing the CROWD of ADHDFund! ADHDFund will support all studies online by increasing awareness on ADHDFund and its aims:http://www.adhdfund.com/About/Research#.U5VqNn8aySMhttp://www.adhdfund… Ambassadors In order to build the international crowd, ADHDFund needs Ambassadors in every country to increase awareness through social and regular media. Can you help?? Please let me know!! Looking forward to your response and submissions, Yours, Sandra Kooij Chair ADHDFund Please take a look at www.adhdfund.com<http://www.adhdfund.com/> for the first international online crowdfund for research on ADHD!

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Postdoc position, Computational neuroscience, Prague
by Lubomir Kostal 12 Jun '14

12 Jun '14

The Department of Computational Neuroscience, Institute of Physiology, Academy of Sciences of the Czech Republic, Prague, invites applications for a one-year postdoctoral position (with a possibility of extension) to a motivated person working in the field of theoretical neuroscience. The department is well internationally established, with stable high-quality publication output, international collaborations and organizational activities. The research is theory-based, experimental data are obtained either within national or international collaborations. A computer cluster for numerically intensive calculations is available. See the group www at: http://comput.biomed.cas.cz/ Requirements: Priority will be given to applicants from EU countries with focus on information theory, estimation theory or stochastic point processes. Hosting conditions: - salary: 31.000,- CZK (1200 EUR) base pay. Alternatively, the possibility to apply for a Marie-Curie Fellowship is open - subsidized accommodation in the institutional campus (serviced apartments, approx. 4.000 CZK/month rental) - starting date: January 2015 How to apply: Interested applicants should email the following material to Lubomir Kostal (kostal(a)biomed.cas.cz) 1) CV with research experience, list of publications, scientific and technical skills 2) description of research interests and motivation for the position 3) names of 2 scientists who can supply a letter of recommendation Deadline for applications: October 31, 2014 For more information on the position contact: Lubomir Kostal Institute of Physiology AS CR Dept. of Computational Neuroscience Videnska 1083 142 20 Prague 4 Czech Republic E-mail: kostal(a)biomed.cas.cz www: http://www.biomed.cas.cz/~kostal/

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Cognitive Computation journal (Springer): Table of Contents, Vol.6, No.2 / June 2014 Issue
by Dr Amir Hussain 11 Jun '14

11 Jun '14

Dear Colleagues: (with advance apologies for any cross-postings) We are delighted to announce the publication of Volume 6, No.2 / June 2014 Issue, of Springer's Cognitive Computation journal - www.springer.com/12559 The individual list of published articles (Table of Contents) for this Issue can be viewed here (and also at the end of this message, followed by an overview of the previous Issues/Archive listings): http://link.springer.com/journal/12559/6/2/ You may also be interested in the journal's seminal Special Issue (Sep 2013 Issue): In Memory of John G Taylor: A Polymath Scholar, by Guest Editors: Vassilis Cutsuridis and Amir Hussain (the Guest Editorial is available here: http://link.springer.com/content/pdf/10.1007%2Fs12559-013-9226-z.pdf and full listing of articles can be found at: http://link.springer.com/journal/12559/5/3/page/1) A list of the journal's most downloaded articles (which can always be read for FREE) can be found here: http://www.springer.com/biomed/neuroscience/journal/12559?hideChart=1#realt… Other 'Online First' published articles not yet in a print issue can be viewed here: http://www.springerlink.com/content/121361/?Content+Status=Accepted All previous Volumes and Issues of the journal can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 ======================================================= NEW: ISI-SCI 5 year Impact Factor for Cognitive Computation: 1.137 ======================================================= As you will know, Cognitive Computation was selected for coverage in Thomson Reuter’s products and services in 2011. Beginning with V.1 (1) 2009, this publication is now indexed and abstracted in: ♦ Science Citation Index Expanded (also known as SciSearch®) ♦ Journal Citation Reports/Science Edition ♦ Current Contents®/Engineering Computing and Technology ♦ Neuroscience Citation Index® Cognitive Computation also received its first Impact Factor of 1.0 (Thomson Reuters Journal Citation Reports® 2011) in 2011 0.867(Thomson Reuters Journal Citation Reports® 2011) in 2012 ============================================ Reminder: New Cognitive Computation "LinkedIn" Group: ============================================ To further strengthen the bonds amongst the interdisciplinary audience of Cognitive Computation, we have set-up a "Cognitive Computation LinkedIn group", which has over 700 members already! We warmly invite you to join us at: http://www.linkedin.com/groups?gid=3155048 For further information on the journal and to sign up for electronic "Table of Contents alerts" please visit the Cognitive Computation homepage: http://www.springer.com/12559 or follow us on Twitter at: http://twitter.com/CognComput for the latest On-line First Issues. For any questions with regards to LinkedIn and/or Twitter, please contact Springer's Publishing Editor: Dr. Martijn Roelandse: martijn.roelandse(a)springer.com Finally, we would like to invite you to submit short or regular papers describing original research or timely review of important areas - our aim is to peer review all papers within approximately six-eight weeks of receipt. We also welcome relevant high quality proposals for Special Issues - four are already planned for 2014-15 (for CFPs, see: http://www.springer.com/biomed/neuroscience/journal/12559?detailsPage=press ) With our very best wishes to all aspiring readers and authors of Cognitive Computation, Professor Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation) E-mail: ahu(a)cs.stir.ac.uk (University of Stirling, Scotland, UK) Professor Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive Computation) (Imperial College, London, UK) http://www.springer.com/12559 Also consider your work for related Book Series: SpringerBriefs on Cognitive Computation: http://www.springer.com/series/10374 NEW: Springer Series on Socio-Affective Computing: http://www.springer.com/series/13199 --------------------------------------------------------------------------------------------------------------- Table of Contents Alert -- Cognitive Computation Vol 6 No 2, June 2014 --------------------------------------------------------------------------------------------------------------- Decoding Word Information from Spatiotemporal Activity of Sensory Neurons Kazuhisa Fujita , Yusuke Hara , Youichi Suzukawa & Yoshiki Kashimori http://bit.ly/UteVVm Yes and No: Match/Mismatch Function in Cognitive Robots Pentti O. A. Haikonen http://bit.ly/1oNarUn Shape Description and Recognition Method Inspired by the Primary Visual Cortex Hui Wei & Hu Li http://bit.ly/1oNay28 A Computational Model of Semantic Memory Categorization: Identification of a Concept’s Semantic Level from Feature Sharedness Ana Teresa Santos , J. Frederico Marques & Luís Correia http://bit.ly/1l0GTCH Displaying and Regulating Different Social Response Patterns: A Computational Agent Model Jan Treur http://bit.ly/1mH53xC Novel Two-Stage Audiovisual Speech Filtering in Noisy Environments Andrew Abel & Amir Hussain http://bit.ly/1oTN5KV Model-Based Human Gait Recognition Via Deterministic Learning Wei Zeng , Cong Wang & Yuanqing Li http://bit.ly/TJegOW A New Hand Image Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums Marcos Faundez-Zanuy , Jiri Mekyska & Xavier Font-Aragonès http://bit.ly/1hOk0SE Classification of Music-Induced Emotions Based on Information Fusion of Forehead Biosignals and Electrocardiogram Mohsen Naji , Mohammd Firoozabadi & Parviz Azadfallah http://bit.ly/1oNbjrU A Meta-Cognitive Learning Algorithm for an Extreme Learning Machine Classifier R. Savitha , S. Suresh & H. J. Kim http://bit.ly/Syy8Tv Fast Face Recognition Via Sparse Coding and Extreme Learning Machine Bo He , Dongxun Xu , Rui Nian , Mark van Heeswijk , Qi Yu , Yoan Miche & Amaury Lendasse http://bit.ly/1n5CWtb --------------------------------------------------- Previous Issues/Archive: Overview: --------------------------------------------------- All previous Volumes and Issues can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 Alternatively, the full listing of the Inaugural Vol. 1, No. 1 / March 2009, can be viewed here (which included invited authoritative reviews by leading researchers in their areas - including keynote papers from London University's John Taylor, Igor Aleksander and Stanford University's James McClelland, and invited papers from Ron Sun, Pentti Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and Tom Ziemke): http://www.springerlink.com/content/1866-9956/1/1/ The full listing of Vol. 1, No. 2 / June 2009, can be viewed here (which included invited reviews and original research contributions from leading researchers, including Rodney Douglas, Giacomo Indiveri, Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann Pulvermuller): http://www.springerlink.com/content/1866-9956/1/2/ The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/3/ The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/4/ The full listing of Vol.2, No. 1 / March 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/1/ The full listing of Vol.2, No. 2 / June 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/2/ The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/3/ The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/4/ The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on: Saliency, Attention, Active Visual Search and Picture Scanning, edited by John Taylor and Vassilis Cutsuridis), can be viewed here: http://www.springerlink.com/content/1866-9956/3/1/ The Guest Editorial can be viewed here: http://www.springerlink.com/content/hu2245056415633l/ The full listing of Vol.3, No.2 / June 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/2/ The full listing of Vol. 3, No. 3 / Sep 2011 (Special Issue on: Cognitive Behavioural Systems, Guest Edited by: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy), can be viewed here: http://www.springerlink.com/content/1866-9956/3/3/ The Guest Editorial for the special issue can be viewed here: http://www.springerlink.com/content/h4718567520t2h84/ The full listing of Vol. 3, No. 4 / Dec 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/4/ The full listing of Vol. 4, No.1 / Mar 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/1/ The full listing of Vol. 4, No.2 / June 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/2/ The full listing of Vol. 4, No.3 / Sep 2012 (Special Issue on: Computational Creativity, Intelligence and Autonomy, Edited by: J. Mark Bishop and Yasemin J. Erden) can be viewed here: http://www.springerlink.com/content/1866-9956/4/3/ The full listing of Vol. 4, No.4 / Dec 2012 (Special Issue titled: "Cognitive & Emotional Information Processing", Edited by: Stefano Squartini, Björn Schuller and Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/4/4/page/1 The full listing of Vol. 5, No.1 / March 2013 Special Issue titled: Computational Intelligence and Applications Guest Editors: Zhigang Zeng & Haibo He, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/1/page/1 The full listing of Vol. 5, No.2 / June 2013 Special Issue titled: Advances on Brain Inspired Computing, Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/2/page/1 The full listing of Vol. 5, No.3 / Sep 2013 Special Issue titled: In Memory of John G Taylor: A Polymath Scholar, Guest Editors: Vassilis Cutsuridis & Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/3/page/1 The full listing of Vol. 5, No.4 / Dec 2013, which includes regular papers (including an invited paper by Professor Ron Sun, Rensselaer Polytechnic Institute, USA, titled: Moral Judgment, Human Motivation, and Neural Networks), and a Special Issue titled: Advanced Cognitive Systems Based on Nonlinear Analysis. Guest Editors: Carlos M. Travieso and Jesús B. Alonso, can be viewed here: http://link.springer.com/journal/12559/5/4/page/1 The full listing of Vol. 6, No.1 / Mar 2014, can be viewed here: http://link.springer.com/journal/12559/6/1/page/1 -------------------------------------------------------------------------------------------- The University of Stirling is ranked in the top 50 in the world in The Times Higher Education 100 Under 50 table, which ranks the world's best 100 universities under 50 years old. The University of Stirling is a charity registered in Scotland, number SC 011159. -- The University of Stirling has been ranked in the top 12 of UK universities for graduate employment*. 94% of our 2012 graduates were in work and/or further study within six months of graduation. *The Telegraph The University of Stirling is a charity registered in Scotland, number SC 011159.

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Graduate studies in comp.life.sci: comp.neuro, sys.bio, networks, appl.math, bioinf ... Jacobs University, Germany
by Jens Christian Claussen 11 Jun '14

11 Jun '14

Invitation for a NEW study program in Computational Life Science in Bremen, Germany Jacobs University Bremen, Germany, welcomes (late) applications (EU citizens or holders of visa for Germany or a EU country only) for the new graduate program (MSc and integrated PhD): http://www.jacobs-university.de/complife-graduate-program For best consideration, please do apply until June 15, latest mid-July, with the usual documents, and a letter/essay of motivation, and be prepared to select one research group for the first lab rotation, see the group pages: http://www.jacobs-university.de/comp-life-graduate-program/complife-groups with the research directions of the core faculty research areas: Computational Neuroscience Bioinformatics Medical Imaging Computational Systems Biology Theoretical Physics Ecological Modeling Mathematics Mathematical Modeling of Medical Processes If you already hold a Master of Science degree in a relevant discipline, and you apply for iPhD track only, please get also in touch with a group leader (in parallel to your application) as all PhD positions are funded within the groups. Applications for CompLife and for the current Computational Biology Branch of MoLife will be handled equivalently this year, so a double application is not necessary. The extended launch of the CompLife program will be for Fall 2015 - stay tuned! We offer reduced study fees for highly skilled applicants! In addition, there may be a small number of departmental stipends available (competitive, apply asap!). Jacobs University is a great international and renowned place for study and research. We warmly welcome applications from all countries (currently students are from 100+ countries)! Looking forward to your application! With best regards, Jens Christian Claussen -- PD Dr. Jens Christian Claussen j.claussen(a)jacobs-university.de Systems Biology Lab - Jacobs University Bremen +49-421-2003240 http://sysbio.jacobs-university.de/website/claussen http://jclaussen.user.jacobs-university.de/ http://webmail.inb.uni-luebeck.de/%7Eclaussen/ Networks, Physics, Socioeconomic Systems? http://www.dpg-physik.de/dpg/gliederung/fv/soe/index.html MSc in Computational Life Science? PhD in Systems Biology? Go here: http://www.jacobs-university.de/ses/complife

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PhD position, computational neuroimaging, Dresden/Germany
by Stefan Kiebel 11 Jun '14

11 Jun '14

Dear all, Please find attached an advert for a PhD position. The position is ideal for someone who would like to work at the interface between computational modelling and neuroimaging experiments. With best wishes, Stefan Kiebel --------- The Department of Psychology, Institute of General Psychology, Biopsychology and Methods of Psychology, Chair of Neuroimaging (Prof. Dr. Stefan Kiebel) invites applications for a Member of academic staff / PhD student (E 13 TV-L) with 50 % of the fulltime weekly hours. The position will start (ideally) on 01.10.2014. The PhD position is initially limited for 3 years. A contract extension for a fourth year is possible. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The main research goal is the development and experimental testing of novel computational models of decision making. The computational models typically employ Bayesian inference and experiments are performed using fMRI and EEG. The Chair of Neuroimaging has full access to all experimental facilities at the Neuroimaging Center at the TU Dresden. The Neuroimaging Center is equipped with a research-only MRI scanner (Siemens 3T TIM Trio), MRI-compatible EEG and eye tracking, and a transcranial magnetic stimulation (TMS) unit. All experimental facilities are supported by experienced physics and IT staff. For computational work, the group has access to the TU Dresden high-performance computing clusters. The Chair of Neuroimaging will be newly established at the TU Dresden, and will move from the Max Planck Institute in Leipzig (http://www.cbs.mpg.de/depts/n-3/dyn/@@index.html) to Dresden. Tasks: The PhD student will work on a series of projects in the area of decision making using computational modelling of behavioural and neuroscientific data. Requirements: The candidate should have either (i) a university degree in psychology or cognitive neuroscience and a strong interest in computational modeling, or (ii) a university degree in mathematics, computational neuroscience, physics, or similar with a strong interest in performing neuroimaging experiments for testing computational models. The position is ideal for candidates interested in research at the interface between computational modeling and experimental neuroimaging. For questions or an informal discussion about this position please contact Prof. Stefan Kiebel (stefan.kiebel(a)tu-dresden.de) Applications from women are particularly welcome. The same applies to people with disabilities. Applicants should send their application documents (cover letter including a brief description of personal qualifications and future research interests, CV and contact details of two personal references) until 07.07.2014 (stamped arrival date of the university central mail service applies) - preferentially via e-mail as a single PDF-file - to julia.herdin(a)tudresden.de (Please note: We are currently not able to receive electronically signed and encrypted data.) or to TU Dresden, Fakultät Mathematik und Naturwissenschaften, Fachrichtung Psychologie, Institut für Allgemeine Psychologie, Biopsychologie und Methoden der Psychologie, Professur für Neuroimaging, Herrn Prof. Dr. Stefan Kiebel, 01062 Dresden. -- Stefan Kiebel, Ph.D. Professor of Neuroimaging Dept of Psychology Technical University Dresden, Germany Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany http://www.cbs.mpg.de/~kiebel

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Posdoc job opening in Computational/Systems Neuroscience
by Chen, Zhe 11 Jun '14

11 Jun '14

Postdoctoral Fellow in Systems/Computational Neuroscience New York University School of Medicine New York, NY Applications are now being accepted for a postdoctoral fellow position to combine computational and experimental techniques to study the neural mechanism of attention of thalamus-neocortical circuits using a healthy or diseased rodent model. The applicant will work closely with Dr. Zhe (Sage) Chen and Dr. Mike Halassa at the New York University School of Medicine, with cross-disciplinary training in computational and systems (experimental) neuroscience, including rodent behavior and electrophysiology. The applicant will have great opportunities to interact with a large and growing neuroscience community at the NYU campus, including the Neuroscience Institute (http://neuroscience.med.nyu.edu<http://neuroscience.med.nyu.edu/>), Center for Neural Science (http://www.cns.nyu.edu<http://www.cns.nyu.edu/>), Department of Neuroscience & Physiology (http://neuro-physio.med.nyu.edu<http://neuro-physio.med.nyu.edu/>), and Department of Psychiatry (http://psych.med.nyu.edu<http://psych.med.nyu.edu/>). This position is available from September 2014, and will be funded for two years and renewable. Applications must have a PhD degree in Neuroscience, Engineering (Biomedical or Electrical), Statistics, Physics, or a related discipline. The desired applicant is expected to be highly motivated and work independently as well as cooperatively with other colleagues in the research projects. Ability to learn new techniques and resolve new research challenges is essential. Previous training in some areas, such as neural data analysis, computational neuronal modeling, computer programming (MATLAB/Python/C), neural interfaces, optogenetics, in vivo neural recordings at the system levels, is preferred. Research experience with rodent neural circuits is a plus. To apply, please send an email along with (i) curriculum vitate; (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two to three references to: Dr. Zhe (Sage) Chen (zhe.chen3(a)nyumc.org<mailto:zhe.chen3@nyumc.org>) or Dr. Mike Halassa (michael.halassa(a)nyumc.org<mailto:michael.halassa@nyumc.org>) with a subject line “Postdoc application”. ------------------------------------------------------------ This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email. =================================

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Graduate studies in the neuroscience of spatial motion estimation and motor planning
by Andrea Green 10 Jun '14

10 Jun '14

Graduate studies in the neuroscience of spatial motion estimation and motor planning Département de Neurosciences, Université de Montréal Applications are invited for doctoral and postdoctoral studies in systems neuroscience in the laboratory of Dr. Andrea Green. The successful applicant will join a multidisciplinary research group studying how the brain integrates multisensory cues to create estimates of our spatial motion and how such estimates are used for perception and motor planning. Research in my laboratory involves computational models of the nervous system, behavioral and neural recording experiments in non-human primates as well as human behavioral studies. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and/or neurophysiological experiments, analyze data, develop theoretical models of neural systems, prepare manuscripts for publication, and participate in international conferences. While students with a strong background in biological sciences, engineering, mathematics, or computer science, are particularly encouraged to apply, all motivated students with an interest in understanding the brain will be considered. The successful applicant will receive a competitive salary in accordance with university guidelines. For further information, please contact Dr. Andrea Green (andrea.green(a)umontreal.ca) Applicants are asked to submit a curriculum vita, a transcript of previous studies, and the contact information for two references to: Dr. Andrea Green andrea.green(a)umontreal.ca Tel: 514-343-6111 x3301 Département de Neurosciences, Université de Montréal C.P 6128 Succursale Centre-Ville Montréal, QC H3C 3J7, CANADA Applications will be accepted until the positions are filled.

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Reminder: Valentino Braitenberg Award for Computational Neuroscience - Call for Nominations
by Kerstin Schwarzwälder 10 Jun '14

10 Jun '14

Dear Colleagues, Please let me remind you that the Bernstein Association for Computational Neuroscience <http://www.nncn.de/en/bernstein-association> invites nominations for the *Valentino Braitenberg Award for Computational Neuroscience.* The award is biannually presented by the Bernstein Association to a scientist in recognition of outstanding research that contributes to our understanding of the functioning of the brain. The major criterion for the award is the impact or potential impact of the recipient's research on the field of brain science. In the spirit of Valentino Braitenberg's research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The crucial work should preferentially have been carried out in a European institution. The awardee receives a €5.000 prize donated by the Autonome Provinz Bozen Südtirol as well as complimentary participation (registration, travel, and hotel accomodation) in the Bernstein Conference 2014. Here, the prize is awarded together with a Golden Neuron pin badge in a special ceremony that includes the Valentino Braitenberg lecture given by the awardee. Nominations may be submitted by scientists working in the field of Computational Neuroscience and should include the following documents: * One-page laudation, in which the scientific work of the candidate is honored with regard to the award's criteria * CV and list of publications *Deadline for nominations is June 16, 2014* by e-mail to info(a)bcos.uni-freiburg.de The call for nominations can be found under the following URL: www.nncn.de/en/bernstein-association/valentino-braitenberg-award-for-comput… For inquiries please contact info(a)bcos.uni-freiburg.de Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Bernstein Coordination Site of the National Bernstein Network Computational Neuroscience Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg Germany phone: +49 761 203 9594 fax: +49 761 203 9585 schwarzwaelder(a)bcos.uni-freiburg.de www.nncn.de Twitter: NNCN_Germany <http://twitter.com/NNCN_Germany> YouTube: Bernstein TV <http://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany <https://www.facebook.com/BernsteinNetwork> LinkedIn: Bernstein Network Computational Neuroscience, Germany <http://www.linkedin.com/company/bernstein-network-computational-neuroscienc…>

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Integrative Brain Function Workshop: Multi-modal approaches to understand brain functions
by Joseph Lizier 10 Jun '14

10 Jun '14

Dear All, Please find below details of the Integrative Brain Function Workshop: Multi-modal approaches to understand brain functions, to be held in Melbourne on Monday 30 June. Integrative Brain Function Workshop Multi-modal approaches to understand brain functions The goal of this workshop is to offer an opportunity for neuroscientists with various backgrounds to interact and exchange ideas. Specifically, we encourage participation of neuroscientists who are interested in understanding the neural systems at the perceptual and behavioural level and who try to combine multiple methodologies, such as electrophysiology, imaging, advanced signal processing and computational modelling. Date: Monday June 30, 2014. (from 9am) Deadline for abstracts: June 9 Location: Monash Biomedical Imaging facility, 770 Blackburn Rd, Clayton VIC, Australia. Keynote speaker: David Leopold from NIH/NIMH, USA Cortical circuits underlying social visual perception in the primate brain Speakers: Elizabeth Zavitz (Monash University) Population coding of motion direction in marmoset area MT is rapid and sustained Alex Fornito (Monash University) Mapping the context-dependent organization of large-scale brain networks with fMRI Farshad Mansouri (Monash University) The role frontal pole cortex (area 10) in cognitive flexibility and executive control Ben Fulcher (Monash University) Highly comparative time-series analysis for neuroscience Stefan Bode (University of Melbourne) The application of multivariate pattern classification analysis to fMRI and EEG data Spencer Chen (University of Sydney) Population correlations and spatial discrimination in area MT Dean Freestone (University of Melbourne) Estimation of Functional Dynamics using Data-Driven Mesoscopic Nerual Modeling Rory Townsend (University of Sydney) Detecting spatiotemporal dynamics in primate neural oscillations Joseph Lizier (CSIRO, Sydney) Local active information storage in distributed cortical information processing Steven Petrou (the Florey Institute of Neuroscience and Mental Health) Revealing pathological mechanisms in genetic epilepsy Enquiries please contact Nao Tsuchiya Click here to Register http://www.med.monash.edu.au/psych/research/activities/seminars.html -- ------------------------------------------------------------------------- Nao (Naotsugu) Tsuchiya, Ph.D. 1. Associate Professor School of Psychological Sciences Faculty of Medicine, Nursing and Health Sciences, Monash University 2. ARC Future Fellow homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage/Main.html

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Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships)
by Etienne B. Roesch 07 Jun '14

07 Jun '14

Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships) The goal of the project is to develop novel methods for the joint analysis of signals from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), when they are obtained concurrently. Technological advances of the last 10 years make it possible for scientists to record both modalities concurrently, in what is now known as coupled EEG-fMRI. By simultaneously recording these two modalities, scientists can potentially say where and when neural activity is occurring, whereas previously researchers had to settle for one or the other. This engineering feat, however, has not yet been met with the ability to make use of the combination of these signals to infer more knowledge than would otherwise be gathered in separate experiments. Filling this gap is the ambition of the present project. This is a method project, which requires skills and knowledge in neuroscience, applied mathematics/statistics/physics and programming. Candidates who have a strong background in at least two of these three fields are encouraged to apply, if they are enthusiastic about the third. Two full studentships are available, and we expect to appoint one candidate who is stronger in empirical work and a second who is stronger in analytics. Candidates are expected to have had some prior exposure to at least one of the two modalities, but will receive training in both. The two students will be supervised by Dr. Etienne Roesch and receive support from Dr. Michael Lindner and Prof. Tom Johnstone, with R&D support from Brain Products, one of the world’s leading manufacturers of MRI-compatible EEG systems. The group led by Dr. Roesch fosters interdisciplinary thinking, and students will have the opportunity to engage in ongoing empirical and modelling work related to perception and action. The Centre for Integrative Neuroscience and Neurodynamics (CINN) is host to a research-dedicated 3T Siemens TRIO, with a full license for sequence development, and a full suite of MR-compatible systems. Additionally, the students will be granted access to the cluster of NVIDIA Tesla GPUs and other facilities at CINN, as well as at the Brain Embodiments Laboratory, in the School of Systems Engineering. The University of Reading is ranked as one of the UK’s 20 most research-intensive universities and as one of the top 200 universities in the world (Times Higher Education 2013). Our campus was voted first in the Times Higher Education Student Experience survey and has a Green Flag Award. It is situated 25 minutes West of London. Reading University Students’ Union was voted the 6th best in the UK (National Student Survey 2012). Essentials: Commitment to academic research and personal development; Ability to work collaboratively; Effective interpersonal and communication skills, including writing to a high standard, document preparation for technical notes and journal papers; Experience of work in interdisciplinary settings; Attention to details. Desirables: Self-guided work in developing statistical designs and approaches in research; Creative approach to problem solving; Ability to work independently; Experience in giving presentations and conveying complex ideas clearly. Eligibility: Applicants should hold a minimum of a UK Honours Degree at 2:1 level or equivalent in a relevant subject. Please note that due to restrictions on the funding this studentship is for UK/EU applicants only. Funding Details: Studentship will cover Home/EU Fees, pay the Research Council minimum stipend (£13,863 in 2014/15) for up to 3 years and include funding for international conferences. How to apply: To apply for this studentship please submit an application for a PhD in Cybernetics (full time) to the University – see http://www.reading.ac.uk/Study/apply/pg-applicationform.aspx . In the section ‘Research proposal’, please upload or copy-paste your covering letter. When prompted as part of your online application, you should provide details of the funding you are applying for, quoting the reference GS14-68. Once you have submitted your application, you should receive an email to confirm receipt of your online application. Please forward this email, along with your covering letter and CV (as pdf), to Dr. Etienne B. Roesch, e.b.roesch(a)reading.ac.uk, by the application deadline. Application Deadline: Monday 14th July 2014 (interviews in August) Further Enquiries: Please contact Dr. Etienne B. Roesch, e.b.roesch(a)reading.ac.uk. ––– Dr. Etienne B. Roesch Lecturer (Assistant Professor) in Cognitive Science University of Reading, UK http://doodle.com/MeetWithEtienne Too brief of an email? Here's why! http://emailcharter.org

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an emerging neural theory of grid and place cell development: and navigation: modules, spiking dynamics, cholinergic inactivation, oscillations, and attention
by Stephen Grossberg 07 Jun '14

07 Jun '14

The following articles summarize an emerging neural theory of how grid and place cells develop neurophysiological properties that support navigational behaviors, including properties of modular organization, spiking dynamics, effects of cholinergic inactivation, oscillations, and attention. ******************************************************************************************************************************************************************************** Grossberg, S., and Pilly, P. K. (2014). Coordinated learning of grid cell and place cell spatial and temporal properties: multiple scales, attention, and oscillations. Philosophical Transactions of the Royal Society B., 369, 20120524, http://rstb.royalsocietypublishing.org/content/369/1635/20120524.full.pdf+h… Abstract. A neural model proposes how entorhinal grid cells and hippocampal place cells may develop as spatial categories in a hierarchy of self-organizing maps. The model responds to realistic rat navigational trajectories by learning both grid cells with hexagonal grid firing fields of multiple spatial scales, and place cells with one or more firing fields, that match neurophysiological data about their development in juvenile rats. Both grid and place cells can develop by detecting, learning, and remembering the most frequent and energetic co-occurrences of their inputs. The model’s parsimonious properties include: Similar ring attractor mechanisms process linear and angular path integration inputs that drive map learning; the same self-organizing map mechanisms can learn grid cell and place cell receptive fields; and the learning of the dorsoventral organization of multiple spatial scale modules through medial entorhinal cortex to hippocampus may use mechanisms homologous to those for temporal learning through lateral entorhinal cortex to hippocampus (“neural relativity”). The model clarifies how top-down hippocampus-to-entorhinal attentional mechanisms may stabilize map learning, simulates how hippocampal inactivation may disrupt grid cells, and explains data about theta, beta, and gamma oscillations. The article also compares the three main types of grid cell models in light of recent data. **************************************************************************************************************** Pilly, P.K., and Grossberg, S. (2013). Spiking neurons in a hierarchical self-organizing map model can learn to develop spatial and temporal properties of entorhinal grid cells and hippocampal place cells. PLOS ONE, http://dx.plos.org/10.1371/journal.pone.0060599 Abstract. Medial entorhinal grid cells and hippocampal place cells provide neural correlates of spatial representation in the brain. A place cell typically fires whenever an animal is present in one or more spatial regions, or places, of an environment. A grid cell typically fires in multiple spatial regions that form a regular hexagonal grid structure extending throughout the environment. Different grid and place cells prefer spatially offset regions, with their firing fields increasing in size along the dorsoventral axes of the medial entorhinal cortex and hippocampus. The spacing between neighboring fields for a grid cell also increases along the dorsoventral axis. This article presents a neural model whose spiking neurons operate in a hierarchy of self-organizing maps, each obeying the same laws. This spiking GridPlaceMap model simulates how grid cells and place cells may develop. It responds to realistic rat navigational trajectories by learning grid cells with hexagonal grid firing fields of multiple spatial scales and place cells with one or more firing fields that match neurophysiological data about these cells and their development in juvenile rats. The place cells represent much larger spaces than the grid cells, which enable them to support navigational behaviors. Both self-organizing maps amplify and learn to categorize the most frequent and energetic co-occurrences of their inputs. The current results build upon a previous rate-based model of grid and place cell learning, and thus illustrate a general method for converting rate-based adaptive neural models, without the loss of any of their analog properties, into models whose cells obey spiking dynamics. New properties of the spiking GridPlaceMap model include the appearance of theta band modulation. The spiking model also opens a path for implementation in brain-emulating nanochips comprised of networks of noisy spiking neurons with multiple-level adaptive weights for controlling autonomous adaptive robots capable of spatial navigation. ******************************************************************************************************************************************************************************** Pilly, P.K., and Grossberg, S. (2014) How does the modular organization of entorhinal grid cells develop? Frontiers in Human Neuroscience, doi:10.3389/fnhum.2014.0037, http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00337/full Abstract. The entorhinal-hippocampal system plays a crucial role in spatial cognition and navigation. Since the discovery of grid cells in layer II of medial entorhinal cortex (MEC), several types of models have been proposed to explain their development and operation; namely, continuous attractor network models, oscillatory interference models, and self-organizing map (SOM) models. Recent experiments revealing the in vivo intracellular signatures of grid cells (Domnisoru et al., 2013; Schmidt-Heiber and Hausser, 2013), the primarily inhibitory recurrent connectivity of grid cells (Couey et al., 2013; Pastoll et al., 2013), and the topographic organization of grid cells within anatomically overlapping modules of multiple spatial scales along the dorsoventral axis of MEC (Stensola et al., 2012) provide strong constraints and challenges to existing grid cell models. This article provides a computational explanation for how MEC cells can emerge through learning with grid cell properties in modular structures. Within this SOM model, grid cells with different rates of temporal integration learn modular properties with different spatial scales. Model grid cells learn in response to inputs from multiple scales of directionally-selective stripe cells (Krupic et al., 2012; Mhatre et al., 2012) that perform path integration of the linear velocities that are experienced during navigation. Slower rates of grid cell temporal integration support learned associations with stripe cells of larger scales. The explanatory and predictive capabilities of the three types of grid cell models are comparatively analyzed in light of recent data to illustrate how the SOM model overcomes problems that other types of models have not yet handled. ********************************************************************************************************************************************************** Pilly, P.K., and Grossberg, S. (2013). How reduction of theta rhythm by medial septum inactivation may covary with disruption of entorhinal grid cell responses due to reduced cholinergic transmission. Frontiers in Neural Circuits, doi: 10.3389/fncir.2013.00173, http://www.frontiersin.org/Journal/10.3389/fncir.2013.00173/full?utm_source… Abstract. Oscillations in the coordinated firing of brain neurons have been proposed to play important roles in perception, cognition, attention, learning, navigation, and sensory-motor control. The network theta rhythm has been associated with properties of spatial navigation, as has the firing of entorhinal grid cells and hippocampal place cells. Two recent studies reduced the theta rhythm by inactivating the medial septum (MS) and demonstrated a correlated reduction in the characteristic hexagonal spatial firing patterns of grid cells. These results, along with properties of intrinsic membrane potential oscillations (MPOs) in slice preparations of medial entorhinal cortex (MEC), have been interpreted to support oscillatory interference models of grid cell firing. The current article shows that an alternative self-organizing map (SOM) model of grid cells can explain these data about intrinsic and network oscillations without invoking oscillatory interference. In particular, the adverse effects of MS inactivation on grid cells can be understood in terms of how the concomitant reduction in cholinergic inputs may increase the conductances of leak potassium (K+) and slow and medium after-hyperpolarization (sAHP and mAHP) channels. This alternative model can also explain data that are problematic for oscillatory interference models, including how knockout of the HCN1 gene in mice, which flattens the dorsoventral gradient in MPO frequency and resonance frequency, does not affect the development of the grid cell dorsoventral gradient of spatial scales, and how hexagonal grid firing fields in bats can occur even in the absence of theta band modulation. These results demonstrate how models of grid cell self-organization can provide new insights into the relationship between brain learning and oscillatory dynamics. ********************************************************************************************************************************************************************************* Stephen Grossberg Wang Professor of Cognitive and Neural Systems Professor of Mathematics, Psychology, and Biomedical Engineering Director, Center for Adaptive Systems http://cns.bu.edu/~steve steve(a)bu.edu

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ECML Workshop - “Neural Connectomics: From Imaging to Connectivity”
by Demian Battaglia 06 Jun '14

06 Jun '14

ECML Workshop - “Neural Connectomics: From Imaging to Connectivity” September 15, 2014 - Nancy, France Paper submission deadline: June 20, 2014 Description: Systematic extraction of connectivity information is gaining growing importance for the understanding of the general functioning of the brain and its learning capabilities, as well as for designing biomarkers for diagnosis, prediction and prevention in neuropathologies. At the neural level, recovering the exact wiring of the brain (connectome) including nearly 100 billion neurons, having on average 7000 synaptic connections to other neurons, is a daunting task. The goal of this workshop is to bring together researchers in machine learning and neuroscience to discuss progress and remaining challenges in this exciting and rapidly evolving field. We aim to attract machine learning and computer vision specialists interested in learning about a new problem, as well as computational neuroscientists who may be interested in modeling connectivity data. We will discuss also the results of the First ChaLearn Neural Connectomics Challenge, who attracted over 100 participants, many of them advancing considerably the state-of-the-art. Topics of interest to the workshop include, but are not limited to: • building connectomes from EM data • building connectomes from fMRI data • building connectomes from neurophysiology data • bridging neuroanatomy and neurophysiology • connectomics and learning • neuroimaging technology advances • network reconstruction algorithms • causality in time series • feature selection vs. causal discovery • generative vs. discriminative modeling • sharing data • sharing code • organizing new challenges • establishing ground truth, benchmarking • quantitative metrics of evaluation • theoretical understanding Important dates: o Paper submission: June 20, 2014 o Notification of acceptance: July 05, 2014 o Camera-ready: July 25, 2014 o ECML Workshop: September 15, 2014 Important - Submission Guidelines: We encourage contributions in any of these areas. We welcome 2-page short-form submissions and 6-page long-form submissions. Submissions should be formatted using JMLR Workshop and Proceedings format, style files for which are available at: http://www.tex.ac.uk/tex-archive/help/Catalogue/entries/jmlr.html. We also encourage submissions of previously-published material that is closely related to the workshop topic (for presentation only). Everybody can attend the workshop even if he does not participate in the challenge (http://connectomics.chalearn.org/) Challenge participants are encouraged to contribute a paper on their results and also submit papers for presentation on the topics of the workshop. The papers have to be submitted via Easy Chair: https://www.easychair.org/conferences/?conf=ncw2014

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REMINDER: Two PhD Positions and one Postdoc Position in Machine Learning / Sensory Data Processing
by Jörg Lücke 06 Jun '14

06 Jun '14

Dear researchers, There is a bit more than one week left until the deadline for the positions. If you have already applied, please see the end of this e-mail for more details on the required application documents. The given information is in response to some questions we got. Best wishes, Jörg Lücke On 28.04.2014 11:54, Jörg Lücke wrote: > The Machine Learning research group at the University of Oldenburg is > seeking to fill > > Two PhD Research Positions and one (postdoctoral) Research Associate > Position > > All positions are part of the Machine Learning group which develops > learning and inference technology for sensory data. We pursue basic > research, develop new technology, and apply our approaches to > different tasks. Our research hereby combines modern probabilistic > data descriptions, modern computer technology and insights from the > neurosciences. We contribute to the improvement of current methods for > computer hearing, pattern recognition and computer vision as well as > to the understanding of biological and artificial intelligence. > Research will be conducted in close collaboration with leading > international and national research labs. Our research field can be > considered as part of the Data Sciences, Computational Sciences, or > Big Data approaches (to name some terms recently used in the media). > > Salary levels of the positions are based on the TV-L scale of the > German public sector (Öffentlicher Dienst). After the deduction of > health insurance, pension tax and other taxes, the salary for the PhD > positions amounts to approximately 1600 EUR per month, and to about > 2000 EUR per month for the (postdoctoral) Research Associate Position. > Depending on the experience of the candidates, the salary can be > higher. But please note that the only definite sources for all > information on the positions including salary, job description and > application/selection procedure are the central websites of the > University of Oldenburg. > > For the PhD positions see: > http://www.uni-oldenburg.de/stellen/?stelle=63323 > For the postdoc position see: > http://www.uni-oldenburg.de/stellen/?stelle=63322 > > Depending on the skills and interests of the candidates, the research > focus will be on the development of new probabilistic learning > algorithms and/or their applications to high-dimensional sensory data. > Projects can emphasize basic research for general purpose learning and > pattern recognition, or applications of algorithms to specific tasks. > > Candidates for the PhD positions have to hold a Master degree in > Physics, Computer Science, Mathematics or a closely related subject > (at the latest at the time when the contract is signed). > Analytical/mathematical skills and programming skills (e.g. python, > matlab, C++) are required for all candidates. Experiences with Machine > Learning algorithms are desirable. Experiences with acoustic data, > other types of sensory data, and an interest in the neurosciences are > a plus but are not strictly required. > > The candidates for the (postdoctoral) Research Associate position have > to hold a Master degree or (preferably) a PhD/Doctoral degree in > Physics, Computer Science, Mathematics or a closely related subject > (alternatively, a statement can be provided that a PhD/Doctoral degree > will be issued when the position is taken or shortly thereafter). > Analytical/mathematical skills, programming skills, and experience > with Machine Learning algorithms are required. Experiences with > acoustic data, other types of sensory data, and an interest in the > neurosciences are a plus but are not strictly required. The > (postdoctoral) Research Associate position is suitable for part-time > work. > > All positions can be filled immediately and are available for > initially two years with an option for extension. > > The appointed researchers will be part of a very new working > environment. The research group is currently established through a > strategic investment into Machine Learning technology at Oldenburg. > The group is located in a new building, and the Cluster of Excellence > Hearing4all is part of the German Excellence Initiative which funds > top-tier research in Germany. The cluster comprises many > interdisciplinary research groups that are currently set up or that > are extended. As a consequence, many new PhD, postdoc and faculty > positions allow for interesting collaboration opportunities and > provide an attractive scientific and social environment. The city of > Oldenburg is one of Germany's cities with the highest rated living > quality, it is close to the North See and near to the cities of Bremen > and Hamburg. > > For more information about the Machine Learning research group visit: > http://www.uni-oldenburg.de/ml/ > > For more information about the Cluster of Excellence Hearing4all > visit: http://hearing4all.eu/EN/ > > The University of Oldenburg is dedicated to increasing the percentage > of women in science. Therefore, female candidates are particularly > encouraged to apply. According to § 21 III NHG (legislation governing > Higher Education in Lower Saxony) preference will be given to female > candidates in cases of equal qualification. > > Handicapped applicants will be given preference if equally qualified. > > Please send your application including the usual documents (including > contact details for reference letters) preferably electronically (PDF) > to Jörg Lücke <joerg.luecke(a)uni-oldenburg.de> or per mail to: Carl von > Ossietzky Universität Oldenburg, Fakultät VI, Machine Learning, z.Hd. > Frau Jennifer Köllner, 26111 Oldenburg, Germany. Please use “Research > Position (PhD)” as subject line for applications to the PhD positions, > and “Research Associate Position (postdoc)” for applications to the > (postdoctoral) Research Associate position. > > The application deadline is 15 June 2014. Applications received after > this date are not guaranteed to enter the selection process. > > > MORE INFORMATION ON APPLICATION DOCUMENTS Note that detailed reviewing of the applications will start immediately after the deadline of June 15. We got some request asking for more information about application documents. Please be advised that the usual application documents include: - a scientific CV with education details including universities visited, degrees taken, final mark/rank (other skills, special courses and other interests are usually part of the CV) - if applicable (mainly postdoc applicants), a list of publications (can be part of the CV) - contact details of at least two researchers who can provide reference letters (you can also send the letters, or send one letter and one other reference) - scans of the original university degrees and translations to English if possible (unless they are in German) Some applicants also do provide a short research statement / statement of interest which can also be part of the cover letter or e-mail. It would also be interesting for us if you state when you could potentially start the position. If you have not provided all the documents stated above, please do provide them in time for the deadline of the position (15 June 2014). Please send an e-mail to Frau Jennifer Köllner <jennifer.koellner(a)uni-oldenburg.de> with subject line “Research Position (PhD) - additional documents” or “Research Position (postdoc) - additional documents” -- Jörg Lücke (PhD) Associate Professor Machine Learning Lab and Cluster of Excellence Hearing4all Department of Medical Physics and Acoustics School of Medicine and Health Sciences University of Oldenburg 26111 Oldenburg Germany www.uni-oldenburg.de/ml

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