June 2014 - Comp-neuro - lists.cnsorg.org

On behalf of neurocourses.com: Brain anatomy courses - July + Aug 2014, King's College London
by Reinoud Maex 24 Jun '14

24 Jun '14

Hi.. I don't want to subscribe to this list, but thought I would be able to post an item of (potential) interest to subscribers and had expected that it would be moderated. If a member can forward the info about my course then that would be great -- otherwise, not to worry. Best wishes Paul Johns > > Functional neuro-anatomy course(s) - July + Aug 2014, King's College London > > Summer 2014: > Neuroanatomy course announcement -- please see details below. > > *** Reduced rate accommodation available at King's College: £40 / night. > > ---------------- > > > ------------------------------------ > > HUMAN BRAIN ANATOMY COURSE (3 days) > > Comprehensive introduction to functional neuroanatomy > > Assumes minimal prior knowledge > > Emphasises functional, clinical and MRI brain anatomy > > Mean delegate feedback score: 4.9 / 5 > > > > When: 23rd - 25th July 2014 > > Where: Guy's Campus, King's College London* > > Price: £395 (includes colour handbook) > > > > Register online at www.neurocourses.com > > > > LIMBIC BRAIN ANATOMY COURSE (2 days) > > Neuroanatomy for psychiatry, neurology and neuroscience > > More advanced course focusing on key limbic brain areas > > (e.g. limbic lobe, hippocampus, amygdala, ventral striatum) > > > Mean delegate feedback score: 4.9 / 5 > > > > When: 21st - 22nd August 2014 > > Where: Guy's Campus, King's College London* > > Price: £295 (includes colour handbook) > > > > Register online at www.neurocourses.com > > > > Course Director > > Dr Paul Johns, BSc BM MSc FRCPath > (Consultant neuropathologist / senior lecturer in neuroanatomy) > > Author of > > Clinical Neuroscience: An Illustrated Colour Text > > > > See course photos and delegate reviews on Facebook: > > https://www.facebook.com/Neurocourses > > > > *Please note that Neurocourses UK is not affiliated to King's College London.

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positions available at Martinez-Conde lab in SUNY, New York City
by Susana Martinez-Conde 23 Jun '14

23 Jun '14

Dear Colleagues, The Martinez-Conde lab (http://smc.neuralcorrelate.com <http://smc.neuralcorrelate.com/> ) is moving this summer to SUNY's Downstate Medical Center (http://www.downstate.edu <http://www.downstate.edu/> ) in Brooklyn, New York City, under SUNY's Empire Innovator Program (https://www.suny.edu/media/suny/content-assets/communication/publicationsre portsdata/FacultyExcellence.pdf). The laboratory will be in the Department of Ophthalmology (http://www.downstate.edu/ophthalmology) at SUNY Downstate (a 25-minute subway ride to Times Square) and part of the SUNY Eye Institute (http://www.sunyeye.org <http://www.sunyeye.org/> ). Predoctoral and postdoctoral positions are available. Interested candidates should email their CVs to smart at neuralcorrelate.com. <http://visionscience.com/mailman/listinfo/visionlist> Experience in psychophysical and/or neurophysiological techniques is required. The preferred candidates will have a strong background in programming (Matlab, C++, Python) and quantitative methods as evidenced by first-author publications. The Martinez-Conde lab's research program is at the interface of visual, oculomotor and cognitive neuroscience. Representative publications can be downloaded from http://smc.neuralcorrelate.com/publications. The State University of New York is an Equal Opportunity Employer. Thank you for your interest, ---------------------------------------------------------------- Susana Martinez-Conde, PhD Director, Laboratory of Visual Neuroscience Division of Neurobiology Barrow Neurological Institute 350 W. Thomas Rd Phoenix AZ 85013, USA Phone: +1 (602) 406-3484 Fax: +1 (602) 406-4172 Email: smart(a)neuralcorrelate.com http://smc.neuralcorrelate.com

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PhD and Postdoc in Cognitive Control, Communication and Perception
by Alex Ossadtchi 21 Jun '14

21 Jun '14

The Faculty of Psychology, Higher School of Economics (HSE, Moscow) is pleased to announce a number of post-doctoral and PhD student positions at the new research group for Cognitive Control, Communication and Perception, which is currently being established at HSE, Center for Neuroeconomics and Cognitive Studies. This new international group will operate in collaboration with the Centre of Functionally Integrative Neuroscience at Aarhus University (Denmark), Psychology Department at Northumbria University Newcastle (UK), and other international collaborators. Our key international coordinators are Professor Yury Shtyrov (Aarhus) and Dr Andriy Myachykov (Northumbria). The postholders will have an advantage of being able to further define and expand the newly established research program. Potential topics include (but are not limited to): neural dynamics of language comprehension, automaticity and top-down control in communication, sensory-motor integration in cognitive functions, embodied cognition, interactions between domain-specific and domain-general cognitive systems, neurocognitive bases of language acquisition, studies of communication deficits (e.g. aphasia) etc. Research facilities include multi-channel EEG, navigated TMS-EEG and eye- tracking equipment, all recently installed at the Faculty, as well as local access to MEG, fMRI and a range of neurological populations. The HSE is a young, dynamic, fast-growing Russian research university providing unique research opportunities ( http://hse.ru/en,http://psy.hse.ru/en/) The Faculty of Psychology is committed to developing various areas of modern experimental psychology and, most crucially, Cognitive Neuroscience. Working conditions: - Access to multimodal neuroimaging facilities (brain-navigated TMS, multichanel EGG, MEG, eye-tracking, etc. http://psy.hse.ru/en/res-center ) - Internationally competitive salary, 13% flat income tax rate and other benefits - Generous travel support and research grants provided by the University’s Centre for Advanced Studies (www.cas.hse.ru) - Low teaching load, minimal administrative service required - Heavy emphasis on high quality research Requirements for the PostDoc position: position - Ph.D. in psychology, cognitive neuroscience, language sciences or related fields - Fluent English (knowledge of Russian is not required) - Demonstrated ability and high motivation to conduct high-quality research publishable in quality international peer-reviewed journals Requirements for the PhD student position: - MS degree in psychology, cognitive neuroscience, language sciences or related fields - Fluent English (knowledge of Russian is not required) - Demonstrated ability and high motivation to conduct high-quality research publishable in quality international peer-reviewed journals Generally appointments will be made for an initial 2,5-year period and upon successful completion of an interim review, contracts would normally be extended for a further three years until the tenure review. Please provide a CV, at least 2 letters of reference forwarded directly, a statement of research interest and a recent research paper. All materials should be addressed to Dr. Viсtoria Moiseeva, no later than June 20. If you have any further questions, please contact Dr. Viсtoria Moiseeva vmoiseeva(a)hse.ru

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PhD/MSc Position in Computational Neuroscience at the University of Lethbridge, Canada
by Tatsuno, Masami 20 Jun '14

20 Jun '14

One PhD/MSc position is available immediately in the lab of Prof. Masami Tatsuno at the Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Canada ( http://www.uleth.ca ). We investigate memory processes of the awake/sleeping brain experimentally and computationally with the goal of understanding how spontaneous reactivation of memory sequences facilitates performance improvement. We have been performing multi-electrode recordings in freely behaving animals as well as neural data analysis by statistical methods such as information geometry. The successful candidate will work on one or a combination of projects aimed at developing a novel analysis method for neural signals, analyzing neural data, and modeling memory function. The successful candidate will also have an opportunity to participate in electrophysiological recordings. A high degree of interaction with the experimental team in my lab as well as the Brain Dynamics group ( http://lethbridgebraindynamics.com ) will be also expected. Applicants should have a strong programming (e.g., MATLAB) and quantitative background (e.g., BSc/MSc degree in physics, math or computer science etc.). Experience with neuronal modeling is a plus. Candidates should email a short letter of research interest including their skills and experience, CV and the names of three references to Masami Tatsuno ( tatsuno(a)uleth.ca ) as soon as possible. Please do not have reference letters sent unless requested. Applicants should put "CompNeuro PhD/MSc recruitment" in the subject of their email. Funding is available through our departmental NSERC CREATE grant in Biological Information Processing. Lethbridge is located two hours from Calgary, 90 minutes from the Canadian Rockies and is a safe, family friendly environment. ********************************************* Masami Tatsuno, Ph.D. Assistant Professor of Neuroscience The University of Lethbridge Email: tatsuno(a)uleth.ca http://lethbridgebraindynamics.com/masami_tatsuno *********************************************

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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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