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Special Issue on Computational Neuroscience: May 2014 issue of Proceedings of the IEEE
by Mark McDonnell 05 May '14

05 May '14

Dear Colleagues, I invite you to browse the May 2014 issue of Proceedings of the IEEE on "Engineering Intelligent Electronic Systems Based on Computational Neuroscience", edited by M. D. McDonnell, K. Boahen, A. Ijspeert, and T. J. Sejnowski. An editorial overview is at http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6807551 Individual papers can be downloaded from http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=6807530 (you need to have access to a subscription). For more information on Proceedings of the IEEE, see http://www.ieee.org/publications_standards/publications/proceedings/proceed… Papers in the special issue: • The SpiNNaker Project, Furber, S.B. ; Galluppi, F. ; Temple, S. ; Plana, L.A. • Information Systems Opportunities in Brain–Machine Interface Decoders, Kao, J.C. ; Stavisky, S.D. ; Sussillo, D. ; Nuyujukian, P. ; Shenoy, K.V. • Dynamic and Succinct Statistical Analysis of Neuroscience Data, Kim, S. ; Quinn, C.J. ; Kiyavash, N. ; Coleman, T.P. • Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations; Benjamin, B.V. ; Gao, P. ; McQuinn, E. ; Choudhary, S. ; Chandrasekaran, A.R. ; Bussat, J. ; Alvarez-Icaza, R. ; Arthur, J.V. ; Merolla, P.A. ; Boahen, K. • Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges; Rahimi Azghadi, M. ; Iannella, N. ; Al-Sarawi, S.F. ; Indiveri, G. ; Abbott, D. • Power Consumption During Neuronal Computation; Sengupta, B. ; Stemmler, M.B. • Small Brains, Smart Machines: From Fly Vision to Robot Vision and Back Again; Franceschini, N. • An Augmented Two-Layer Model Captures Nonlinear Analog Spatial Integration Effects in Pyramidal Neuron Dendrites; Jadi, M.P. ; Behabadi, B.F. ; Poleg-Polsky, A. ; Schiller, J. ; Mel, B.W. • Prospective Optimization; Sejnowski, T.J. ; Poizner, H. ; Lynch, G. ; Gepshtein, S. ; Greenspan, R.J. • Stereo, Shading, and Surfaces: Curvature Constraints Couple Neural Computations; Zucker, S.W. • Regulating Cortical Oscillations in an Inhibition-Stabilized Network; Jadi, M.P. ; Sejnowski, T.J. • Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits; Hamilton, T.J. ; Afshar, S. ; van Schaik, A. ; Tapson, J. • Noise as a Resource for Computation and Learning in Networks of Spiking Neurons; Maass, W. • Large-Scale Synthesis of Functional Spiking Neural Circuits; Stewart, T.C. ; Eliasmith, C. • Evolved Machines Shed Light on Robustness and Resilience; Bongard, J. ; Lipson, H. Regards Mark McDonnell (on behalf of Guest_Editors, M. D. McDonnell, K. Boahen, A. Ijspeert, and T. J. Sejnowski)

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deadline extended for the Neurobiology of Cognition GRC/GRS!
by Lucia Melloni 05 May '14

05 May '14

Dear colleagues, The deadline for application and abstract submission for the Gordon Research Seminar has been extended to the *15th of May*. Please submit your application and abstract soon!. We are very much looking forward to receiving your contributions and to a vibrant seminar. We have also added a mentorship component which promises to provide us with important tips for a successful transition from postdoc to PI. Looking forward to seeing you at the GRS/GRC! Lucia Melloni. Ayelet N. Landau > > > [image: Gordon Research Conferences] > > > Join us at the 2014 *Gordon Conference* and *Seminar* On > > *Neurobiology of Cognition*<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…> > > Circuits, Dynamics, Action and Perception > > We are meeting *July 20-25, 2014 -*New GRC site: *Sunday River Resort*<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…> > Newry, Maine > > Click *here*<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…>to see the > *GRC* program. > > There is also an associated *GRS* *July 19-20 *for students and postdocs > > Click *here*<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…>to see the > *GRS* website. > > *GRS* application & abstract deadline to be considered for oral > presentation - *May 15* > > *Please use attached **flyer > <http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…> > **to help spread the word! * > > > > The Neurobiology of Cognition is a recently-inaugurated GRC designed to > foster convergence of traditional neuroscience investigations with more > recent developments in systems, cellular and molecular neurobiology, in > engineering and imaging and in computational sciences. Cognition is > construed broadly to embrace empirical findings in a range of species > including humans, and there is a strong focus on integration of findings > and principles across species and levels of analysis. > > In the opening Keynote Session, two leading neuroscientists with provide > an experimental and computational perspective on the recent initiative, > termed Brain Research through Advancing Innovative Neurotechnologies > (BRAIN). This initiative, spearheaded by the President and NIH, is aimed at > developing innovative methodologies to study how complex systems of neurons > interact in time and in space during complex behaviors. Along with recent > findings in a few traditional "core" areas, formal sessions will then > explore several new themes, including: 1) the neuroanatomy and 2) > coordination of cognitive circuits in the brain, 3) motor cognition and > brain-computer interfaces, 4) music and language, and 5) learning and > plasticity. The program juxtaposes human psychophysical, neuroimaging and > electrophysiological studies with parallel investigations in rodents and > non-human primates, and with computational approaches that explicate > empirical findings and construct robust, detailed models to represent the > developing picture and guide future experimentation. The program also > underscores novel experimental and theoretical approaches that promise to > define fundamental principles that guide and integrate the understanding of > cognition at a fundamental level, and to extend these to improved treatment > of brain dysfunction. The format of the meeting promotes intensive > interactions among investigators and trainees from different perspectives > and analytic levels, and in particular, between experimentalists and > theorists. There is a linked Gordon Research Seminar for trainees, most of > whom also attend the GRC. > > > > All that is missing now is your *application* to attend. > > Click *here*<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…>for the > *GRC*. Click* here*<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…>for the > *GRS*. (You must apply to both to attend both.) > > Best regards, > > GRC Chair: *Charles E. Schroeder*<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…> > GRC V. Chair:*Tatiana Pasternak*<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…> > > GRS Chair: *Lucia Melloni*<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…> > GRS Assoc. Chair: *Ayelet N. Landau*<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…> > > > > *Apply*<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…> now > and see why our attendees consistently rate GRCs > > "the best conference I've attended this year"! > > [image: Like us on Facebook]<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…> > [image: Follow us on Twitter]<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…> > [image: View our profile on LinkedIn]<http://r20.rs6.net/tn.jsp?f=001WmUIQVsC75imVB3bWl9ZZPIlEuZLUMcBQfSHB8NCzlGR…> > > > > *Forward this email > <http://ui.constantcontact.com/sa/fwtf.jsp?llr=8zdsldnab&m=1113583062843&ea=…>* > > > <http://visitor.constantcontact.com/do?p=un&m=001yZEdZuQ8HYK105RSD5eD0w%3D%3…> > > <http://www.constantcontact.com/index.jsp?pn=&cc=> > > This email was sent to htobin(a)grc.org by announcements(a)grc.org | > > Instant removal with SafeUnsubscribe<http://visitor.constantcontact.com/do?p=un&m=001yZEdZuQ8HYK105RSD5eD0w%3D%3…>™ > | Privacy Policy<http://ui.constantcontact.com/roving/CCPrivacyPolicy.jsp> > . > > Gordon Research Conferences | 512 Liberty Lane | West Kingston | RI | > 02892 > > > > Follow GRC: Facebook <https://www.facebook.com/GordonResearchConferences/>| > Twitter <https://twitter.com/GordonConf/> > Call > Send SMS > Add to Skype > You'll need Skype CreditFree via Skype > > > > > > >

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Assistant Professor Job in BioRobotics; Odense, Denmark
by John Hallam 04 May '14

04 May '14

Application deadline: 1st June 2014 The Center for BioRobotics at the University of Southern Denmark (SDU) in Odense seeks to recruit two new assistant professors. These posts are for 3 years in the first instance. The scientific goal of the Centre for BioRobotics is to tackle questions arising from the acoustic behaviours of animals which cannot be addressed completely by biology or technology alone while also exploring applications of insights from biology in the robotics and technological domain and vice versa. Practically, the intention is to strengthen existing synergy and use it to create new opportunities for seeking external funding. The first position is based in the Maersk Institute (Faculty of Engineering) and is intended for a technically-educated person who has experience in biorobotics, biomimetics or modelling biological systems using engineering tools. Further details of the position can be found via this[1] direct link. A complementary position in the Biology Department at SDU (Faculty of Science) is being advertised, for which information can be found here[2]. This position is intended for a person educated in biology who has experience with technically-based methods for modelling and replicating biological systems. If you need further information beyond that in the linked page, contact John Hallam <john(a)mmmi.sdu.dk> in the first instance. [1] https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?Po… [2] https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?Po…

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Extended dealine - call for papers - 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
by 2014 IEEE International Workshop on Machine Learning fo Signal Processing 04 May '14

04 May '14

The deadline for full paper submission has been extended to May 16, 2014. Call for papers: - Submission of full paper: May 16, 2014 - Notification of acceptance: June 27, 2014 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) September 21-24, 2014 Reims, France http://mlsp2014.conwiz.dk CALL FOR PAPERS The 24th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials as well as special and regular single-track sessions. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: - Learning theory and techniques - Graphical models and kernel methods - Data-driven adaptive systems and models - Pattern recognition and classification - Distributed, Bayesian, subspace/manifold and sparsity-aware learning - Multiset data analysis and multimodal data fusion - Perceptual signal processing in audio, image and video - Cognitive information processing - Multichannel adaptive and nonlinear signal processing - Applications, including: speech and audio, image and video, music, biomedical signals and images; communications; bioinformatics; biometrics, computational intelligence, genomic signals and sequences; social networks; games, and smart grid. DATA ANALYSIS AND SIGNAL PROCESSING COMPETITION Data Analysis and Signal Processing Competition is being organized in conjunction with the workshop. The goal of the competition is to advance the current state-of-the-art in theoretical and practical aspects of signal processing domains. The problems are selected to reflect current trends, evaluate existing approaches on common benchmarks, and identify critical new areas of research. Winners will be announced and awards given at the workshop. BEST STUDENT AWARD The MLSP Best Student Paper Award will be granted to the best overall paper for which a student is the principal author and presenter. This author must be a registered student at the time of paper submission to be eligible for this award. The award will be presented during the conference and consists of a honorarium (to be divided equally between all student authors of the paper), and a certificate for each such author. The award will be selected by a subcommittee of the program committee. The selection is based on the quality, originality, and clarity of the submission. PAPER SUBMISSION Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure at http://mlsp2014.conwiz.dk/paper_submission.htm Accepted papers will be published on memory sticks to be distributed at the workshop. The presented papers will be published in and indexed by IEEE Xplore. SCHEDULE: - Submission of full paper: May 5, 2014 - Notification of acceptance: June 27, 2014 - Advance registration before: July 25, 2014 - Camera-ready paper: July 25, 2014 ORGANIZING COMMITTEE: General Chair Mamadou Mboup Contact general chair at mlsp2014-chair(a)conwiz.dk Program Chairs Tülay Adali Eric Moreau Contact program chairs at mlsp2014-programchairs(a)conwiz.dk Data Competition Chair Vince Calhoun Special Session Chair Jean-Yves Tourneret Publicity Chair Marc Van Hulle Web and Publication Chair Jan Larsen Kevin Guelton Local Arrangement Chairs Valeriu Vrabie Hassan Fenniri

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MSc. SCHOLARSHIP AT JAUME I UNIVERSITY, SPAIN
by Enric Cervera Mateu 02 May '14

02 May '14

MSc. SCHOLARSHIP AT JAUME I UNIVERSITY,SPAIN The purpose of this announcement is to grant one scholarship for the training of research personnel at UJI Robotic Intelligence Laboratory, Universitat Jaume I, Castellon, Spain, an internationally renowned research center. The goal of this scholarship is to train qualified personnel for R&D tasks, and is aimed at university degree holders from non-Spanish universities, with a recent degree in science/engineering with outstanding performance, fulfilling requirements for admittance to a master degree. The beneficiary is also expected to join a research team within the framework of an on-going project related to robotic research, working with state-of-the-art equipment such as a humanoid torso with anthropomorphic head and multifinger hands, and/or teams of humanoid robots. http://robinlab.uji.es The research will typically pertain to bio-inspired approaches about learning and multimodal sensorimotor coordination of head, eyes and limbs movements during the planning and execution of manipulation or interaction tasks. After getting acquainted with the computational models and the humanoid torso available at the Lab, the beneficiary is expected to extend it by modeling additional mechanisms and implementing other tasks and capabilities. Coordination between eyes, head, arm and hand movements and multimodal integration will be central from both theoretical and practical viewpoints. In this context, the student will have freedom to pursue his/her own research goals according to his/her background and interests. This scholarship is intended for brilliant young graduates and experience in robotics is desirable but not required. Interest in theoretical neuroscience, mental development, or interdisciplinary bio-inspired research would be a plus. Scholarship period The period of validity covered by the scholarships is two years or until defending one’s doctoral thesis, should this be earlier. If, in the period of one month before the end of the scholarship, the beneficiary applicant has obtained the university master’s degree, or has been admitted to a doctorate programme in research phases, he/she may apply for an extension of an additional scholarship up to 12 months, with a view to prolonging his/her research period. The beneficiary applicant may take a master’s degree during this period, namely the "Master on Intelligent Systems. Service Robotics" at the UJI Department of Engineering and Computer Science. http://www.uji.es/UK/infoest/estudis/postgrau/oficial/sistemint.html Scholarship stipend 1. Scholarships’ stipend will be €1,200 monthly (gross). The corresponding IRPF (income tax) will be deducted from this amount. 2. The scholarship also includes an additional stipend of: a) €1,600 to cover costs of travel and settling in Castellon, during the first year of the scholarship. b) €1,200 per year, where applicable, for registration fees for university master’s during the first two years of the scholarship. 3. UJI shall take out an accident insurance and public liability insurance, plus health insurance with coverage for the whole period of the scholarship, if applicants are citizens of countries that have no arrangements with the Spanish Social Security or if insurance coverage of such arrangements were not sufficient. Requirements of beneficiary These scholarships are open to persons fulfilling the following requirements within the period of submission of applications: a) An Engineering or Science degree from a non-Spanish university, fulfilling requirements for admittance to a master degree. b) Having obtained the degree after 1 January 2011. c) Knowledge of Spanish or English (with good speaking skills) for the proposed training. d) Not being in possession of a PhD. Applications The scholarship candidate shall submit the following documents NO LATER THAN MAY 16, 2014 24:00 CET (strict) to robinlab(a)uji.es a) Personal data (see below) b) Photocopy of national identity card of your country. Citizens of EU member states should also include a photocopy of NIE (residence permit) in the event of possessing one. c) Photocopy of valid passport, if not a citizen of the EU. Also a photocopy of NIE (residency permit) in the event of possessing one. d) Photocopy of official academic transcript including the name of obtained degree, showing courses taken and grades achieved together with dates, as well as its translation into English or Spanish. e) Photocopy of academic degree or deposit made for the issuance of degree. f) Applicant’s updated résumé. g) Statement of motivation about your research interests h) 2 reference letters i) Supporting documents of knowledge of Spanish or English. Admission Beneficiaries must join the corresponding research body within the scheduled period as provided in the award decision. In the event that he/she does not join within the scheduled period, the scholarship will be canceled, unless the beneficiary has been granted an adjournment period (to be authorized only by the General Director of Scientific Policy) for a maximum period of three months from the date specified in the award decision. Beneficiary may not recover said adjournment period. Temporary suspension of scholarship The voluntary suspension, previously authorized by the General Director of Scientific Policy, shall not exceed 6 months from the whole period of scholarship and during such suspension period no stipend shall be paid. For further information contact: Mail_to: robinlab(a)uji.es UJI Robotic Intelligence Lab http://robinlab.uji.es ****** Personal data (see (a) above) NATIONAL ID / PASSPORT NO. OR EQUIVALENT: SURNAME: NAME: NATIONALITY: DATE OF BIRTH (YYYY/MM/DD): GENDER: ADDRESS FOR NOTIFICATION ADDRESS (STREET / SQUARE): No..: POSTCODE: COUNTRY: PROVINCE: CITY: PHONE : MOBILE PHONE: E-MAIL: SUMMARY OF ACADEMIC RECORD ACADEMIC DEGREE: UNIVERSITY: STUDIES END DATE (YYYY/MM/DD):

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2 PhD positions at the Institute of Neuroinformatics, Zurich, Switzerland
by Jean-Pascal Pfister 02 May '14

02 May '14

Applications are invited for two PhD student positions at the Institute of Neuroinformatics (ETHZ, UZH) in Zurich. The positions are funded by the Swiss National Science Foundation grant entitled "Inference and Learning with Spiking Neurons". The PhD students will be supervised by Jean-Pascal Pfister in the Theoretical Neuroscience Group. There are several lines of evidence showing that the brain combines unreliable sensory informations in a Bayesian optimal way. The aim of the project is to determine how Bayesian inference and learning can be implemented at the level of neurons and synapses. The Institute of Neuroinformatics in Zurich (which is a joint institute belonging to both the Swiss Federal Institute of Technology (ETHZ) and the University of Zurich) offers an ideal environment for studying Computational Neuroscience due to the presence of multiple theoretical and experimental labs. Candidates should hold a Diplom/Master degree in Physics, Mathematics, Machine learning, Computational Neuroscience or a related field. They should have a strong analytical background and demonstrate interest in theoretical neuroscience. Preference will be given to candidates with good programming skills. The position is offered for a period of three years, starting on the 1st of September 2014 at earliest. Salary scale is provided by the Swiss National Science Foundation (www.snf.ch) Applicants should submit (by email) a CV, a statement of research interests, 2 reference letters, marks obtained for the Diploma/Master, abstract of the Diploma/Master to Jean-Pascal Pfister (pfister(a)pyl.unibe.ch) Deadline for application is 30th of Mai 2014 or until the positions are filled. --------------------------------- Jean-Pascal Pfister, PhD Theoretical Neuroscience Group Physiology Department, University of Bern 5 Bühlplatz, CH-3012 Bern, CH e-mail: pfister(a)pyl.unibe.ch URL: http://www.physio.unibe.ch/~pfister/ tel: ++41 31 631 35 09 From the 1st of September 2014: Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland

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Workshop and lecture series on "Cognitive neuroscience of auditory and cross-modal perception"
by Norbert Kopco 01 May '14

01 May '14

Workshop and lecture series on "Cognitive neuroscience of auditory and cross-modal perception" 26 - 30 May 2014 (Lectures 26 - 28 May, Consultations 29 - 30 May) Web: http://pcl.upjs.sk/Workshop2014/ Venue: Institute of Computer Science Faculty of Science, P. J. Safarik University Jesenna 5, 040 11 Kosice, Slovakia Organizers: doc. Norbert Kopco, PhD. (norbert.kopco(a)upjs.sk) - scientific program Beata Tomoriova, PhD. (beata.tomoriova(a)upjs.sk) - technical Perception and Cognition Lab Contact: kogneuro(a)gmail.com Objectives: This workshop and lecture series will include introductory lectures and advanced research talks on a range of topics related to the neural processes of auditory, visual and cross-modal perception. The talks will illustrate multidisciplinary character of cognitive neuroscience research, covering behavioral, neuroimaging, and modeling approaches, as well as applications of the research in auditory prosthetic devices. The workshop is aimed at early-stage and advanced students and young researchers, and it will provide ample opportunities for direct interactions between the lecturers and the attendees. Themes: spatial hearing vision and crossmodal perception neural modeling methods in cognitive neuroscience: behavioral experiments, imaging (EEG, fMRI), modeling applications: cochlear implants, hearing aids Format of lectures on 26 - 28 May: 14 one-hour lectures by experts on individual topics (2 lectures per expert) student / attendee session with short 10-min presentations and/or posters by the students small modeling / data analysis assignments prepared by the experts for the students Some of the lecturers will be available for individual consultations by appointment following the lectures on 29 - 30 May 2014 Program: TBA Speakers (and tentative topics): Simon Carlile (University of Sydney) Six degrees of spatial separation - The portal for auditory perception (abstract) The plastic ear: Perceptual relearning and auditory spatial perception (abstract) Pierre Divenyi (Stanford University) Cocktail-party effect deficit in aging: what formant transition processing tells us Phonemic restoration: done by our brain or our tongue? Frederick (Erick) Gallun (US Dept. of Veterans Affairs and Oregon Health & Science University) Impacts of age and hearing loss on spatial release from masking (abstract) Characterizing attentional resources using the auditory dual-task (abstract) Bernhard Laback (Austrian Academy of Sciences) Binaural cues in electric hearing Spectral localization cues in acoustic and electric hearing Aaron Seitz (University of California, Riverside) Cognitive Neuroscience of Perceptual Learning: Specificity and Transfer Cognitive Neuroscience of Perceptual Learning: Mechanisms Guiding Learning Christopher Stecker (Vanderbilt University) Integration of spatial information across multiple cues Neuroimaging of spatial hearing Arash Yazdanbakhsh (Boston University) Neural and computational models of vision: Fundamental problems of vision (abstract) Neural and computational models of vision: Neural models and their implementation in early vision (abstract) Registration: The workshop is open to all interested students/scientists. Registration is free of charge but required (mostly for organizational reasons). In order to register, please send an email to kogneuro(a)gmail.com stating your name and affiliation, dates on which you are planning to attend. In case you would like to have a presentation please send us an abstract (up to 200 words) and an indication whether you prefer poster or oral presentation no later than May 19. Travel, accommodation, visitor information: Attendants are kindly requested to make their own travel and accommodation arrangements. Travel:The Kosice Airport is served by Austrian Airlines and Czech Airlines (via Vienna, Prague, Bratislava) and by low-cost airline Wizzair (London Luton Airport). Alternatively you can fly to Budapest and take a 3.5-hr shuttle bus to Kosice (for example, using the cassoviaexpres shuttle company which also offers shuttle bus from the Krakow airport). More information about how to get to Kosice (also by train or bus) can be found here. Accomodation:There are several hotels close to workshop venue, for example Hotel Yasmin, Hotel Maraton (for more hotel options please see http://www.booking.com, http://www.hotels.com, for hostels see: http://www.hostels.com, http://www.hostelworld.com) Visitor information: Kosice was one of the European Capitals of Culture in 2013, for current events see http://www.visitkosice.eu/ , http://www.mickosice.sk/, http://slovakia.travel/ , or http://www.slovakia.com/ Funding: This workshop / lecture series is organized within the Project implementation: SOFOS – knowledge and skill development of the academic staff and students at the University of Pavol Jozef Safarik in Kosice with emphasis on interdisciplinary competencies and integration into international research centres, ITMS: 26110230088, supported by the Research & Development Operational Programme funded by the ESF. -- doc. Norbert Kopco, Ph.D. Inst of Computer Sci, Faculty of Science, Safarik Univ, Kosice, Slovakia Visiting Scholar: Ctr for Computational Neurosci (CompNet), Boston Uni & Martinos Ctr for Biomed Imaging, Harvard Med School - Mass Gen Hospital Phone: +1 (617) 575 9556 Fax: +1 (484) 727 9884 Email: kopco(a)bu.edu Web: http://cns.bu.edu/~kopco

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Phd position in the Human Brain Project: Principles of Brain Computation and Learning
by Wolfgang Maass 30 Apr '14

30 Apr '14

We are inviting applications for a fully funded Phd position at the Graz University of Technology (Faculty for Computer Science) for research on Principles of Brain Computation and Learning in the Human Brain Project https://www.humanbrainproject.eu/ It is planned to combine this Phd position with a part-time position as University Assistant, thereby providing the first step for a possible university career. Our Lab in Graz focuses currently on the development of new paradigms for probabilistic inference and learning in networks of spiking neurons (either in brain networks, or in neuromorphic hardware). Preceding results on which we will build can be found on http://www.igi.tugraz.at/maass/publications.html Excellent research skills, a genuine interest in answering fundamental open questions about computation and learning in networks of spiking neurons, and the capability to work in an interdisciplinary research team are expected. Applications are especially invited by students who have a strong background in a theoretical area related to machine learning, computational theory or probabilistic models, and who also have substantial experience in programming and computer simulations. Our doctoral program will lead to a Phd in Computer Science. Please send your CV, information about your grades, and a letter describing your scientific interests and goals by May 21 to my assistant Regina Heidinger: regina.heidinger(a)igi.tugraz.at It would be helpful if you could include names and email addresses of referees, and pdf files of your master thesis and/or other publications. -- Prof. Dr. Wolfgang Maass Institut fuer Grundlagen der Informationsverarbeitung Technische Universitaet Graz Inffeldgasse 16b , A-8010 Graz, Austria Tel.: ++43/316/873-5822 Fax ++43/316/873-5805 http://www.igi.tugraz.at/maass/Welcome.html

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CoSMo 214: extended deadline! - May 5, 2014
by Gunnar Blohm 29 Apr '14

29 Apr '14

Due to continues interest, we have decided to extend the application deadline for CoSMo 2014! This is a tremendous opportunity for students and postdocs to get hands-on training in computational neuroscience. *Extended deadline: May 5, 2014* http://www.compneurosci.com/CoSMo/ Best Gunnar Blohm, Konrad Körding, Paul Schrater (organizers) -- ------------------------------------------------------- Dr. Gunnar BLOHM Assistant Professor in Computational Neuroscience Centre for Neuroscience Studies, Departments of Biomedical and Molecular Sciences, Mathematics & Statistics, and Psychology, School of Computing, and Canadian Action and Perception Network (CAPnet) Queen's University 18, Stuart Street Kingston, Ontario, Canada, K7L 3N6 Tel: (613) 533-3385 Fax: (613) 533-6840 Email: Gunnar.Blohm(a)QueensU.ca Web: http://www.compneurosci.com/

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Postdoc EEG data analysis and source modeling
by Thomas Knoesche 29 Apr '14

29 Apr '14

The Research & Development Unit „MEG and Cortical Networks“ at the Max-Planck-Institute for Human Cognitive and Brain Science at Leipzig offers a position as POSTDOCTORAL RESEARCHER in the area of Medical Signal Processing and Biophysical Modelling. The research project aims at the development of fast and effective processing techniques for EEG data. The task of the successful applicant will be to develop methods for artefact identification and correction, spatial interpolation and source reconstruction. The successful applicant holds a PhD degree in informatics, mathematics, physics, biomedical engineering, electrical engineering or similar. Experience with the measurement and analysis of brain signals is an advantage, but not essential. A keen interest in the biological foundations of cognition should be present. Decent programming skills are of importance. In order to increase the proportion of female staff members, applications from female scientists are particularly encouraged. Disabled applicants are preferred if qualification is equal. The position is available for 2 years. Payment is according to the German scale TVöD 13. The selection procedure starts as the applications come in. Please send your application by email, citing the code number "PD 14" to: PD Dr.habil. Thomas R. Knösche Max Planck Institute for Human Cognitive and Brain Sciences Stephanstraße 1A, 04103 Leipzig, Germany [phone: +49 341 9940-2619] [email: knoesche(a)cbs.mpg.de]

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Fully funded PhD position in the Neural Computation Lab Italian Institute of Technology
by Stefano Panzeri 29 Apr '14

29 Apr '14

I have an open fully funded PhD position in computational neuroscience in my laboratory at the Italian Institute of Technology in Trento. Stipend, tuition fees and research expenses of the successful candidate will be fully covered by the Italian Institute of Technology. The topic of investigation is how neuronal populations encode and exchange sensory information. The successful candidate will begin the PhD in November 2014 and will be registered with the Doctoral Programme at the University of Trento (ranked 1 st in Italy according to the Times Higher Education). All PhD courses are given in English, and the working language of the research institute is English. The selection requires a Master level degree (Laurea Magistrale or equivalent), a certifiable B2 level of English (or BA/BS/MA/MSc done entirely in English), and a proposed research project. There are no constraints on nationality for the applicants. *The deadline for applications is* *Tuesday May 13, 2014 at 4:00 p.m Italian Time.* Please visit the Doctoral Programme’s website http://www.unitn.it/en/drcimec/10140/admission-doctoral-school-cognitive-an… for information pertaining to the timeline of the application process and for a link to the actual online application. Note that the candidates will have to apply for the topic “computational neuroscience” (see http://www.unitn.it/en/drcimec/32957/30th-cycle-topics-2014-call) and submit with application a brief summary of the proposed research project applicants will submit. This brief document should be intended as a description of the candidate’s research interests within computational neuroscience rather than a detailed research project. Interested candidates are strongly encouraged to write to me ( stefano.panzeri(a)iit.it) as soon as possible attaching their CV to discuss the application further. However, applications will be formally considered only if submitted through the above official link of the University of Trento PhD selection programme. Regards Stefano Panzeri Research Professor Italian Institute of Technology Neural Computation Laboratory – Rovereto (Trento) Italy http://cncs.iit.it/people/iit-unitn-neural-computation/senior-researcher/st… http://cncs.iit.it/research-labs/neural-computation.html

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NEURON Summer Course openings
by Ted Carnevale 28 Apr '14

28 Apr '14

Space is still available in the NEURON Summer Course, but you'll have to act quickly to make sure you qualify for the early registration rates. NEURON Fundamentals June 21-24 This addresses all aspects of using NEURON to model individual neurons, and also introduces parallel simulation and the fundamentals of modeling networks. Parallel Simulation with NEURON June 25-26 This is for users who are already familiar with NEURON and need to create models that will run on parallel hardware. Apply by Friday, May 9, and pay only $1050 for the Fundamentals course $650 for the Parallel Simulation course $1600 for both Registration fees for applications received after May 9 are $1200 for Fundamentals $750 for Parallel Simulation $1800 for both These fees cover handout materials plus food and housing on the campus of UC San Diego. Registration is limited, and the registration deadline is Friday, May 30, 2014. For more information and the on-line registration form, see http://www.neuron.yale.edu/neuron/courses --Ted

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INNS Request for nominations: Hebb, Helmholtz, Gabor, and Young Investigator awards
by Schmidhuber Juergen 28 Apr '14

28 Apr '14

The International Neural Network Society's Awards Program is established to recognize individuals who have made outstanding contributions in the field of Neural Networks. Up to three awards, at most one in each category, of up to $1,000 ($500 cash award plus up to $500 travel award), are presented annually to senior, highly accomplished researchers for outstanding contributions made in the field of Neural Networks. The Hebb, Helmholtz and Gabor Awards: - The Hebb Award - recognizes achievement in biological learning. - The Helmholtz Award - recognizes achievement in sensation/perception. - The Gabor Award - recognizes achievement in engineering/application. - Young Investigator Awards: Up to two awards of $500 each are presented annually to individuals with no more than five years postdoctoral experience and who are under forty years of age, for significant contributions in the field of Neural Networks. Nominations: 1. The Awards Committee should receive nominations of no more than two pages in length, specifying: - The award category (Hebb, Helmholtz, Gabor, or Young Investigator) for which the candidate is being nominated. - The reasons for which the nominee should be considered for the award. - A list of at least five of the nominee's important and published papers. 2. The curriculum vitae of both the nominee and the nominator must be included with the nomination, including the name, address, position/title, phone, fax, and e-mail address for both the nominee and nominator. 3. The nominator must be an INNS member in good standing. Nominees do not have to be INNS members. If an award recipient is not an INNS member, they shall receive a free one-year INNS membership. 4. Nominators may not nominate themselves or their family members. 5. Individuals may not receive the same INNS Award more than once All nominations will be considered by the Awards Committee and selected ones forwarded to the INNS Board of Governors, along with the Committee's recommendations for award recipients. Voting shall be performed by the entire BoG. The INNS Award Committee members must be INNS Governors in the year that they are appointed. The 2014 Committee consists of Prof. Jürgen Schmidhuber, Prof. Leonid Perlovsky, and Prof. Hava Siegelmann. Please email the 2015 nominations along with their attachments directly to the chair of the Awards Committee at juergen(a)idsia.ch, with a copy to the Secretary of the Society at bill(a)billhowell.ca by June 1, 2014. Please use the following subject line in the email: INNS award nomination. Please find additional information here: http://www.inns.org/awards Jürgen Schmidhuber http://www.idsia.ch/~juergen/

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CFA: Two postdoctoral positions in mathematical modeling and machine learning for collective behavior
by Kristiaan Pelckmans 28 Apr '14

28 Apr '14

CFA: Two postdoctoral positions in mathematical modeling and machine learning for collective behavior Dear all, We have openings for two postdocs on our project for relating social behavior to brain morphology. A full description of the applications can be found at http://www.uu.se/en/jobs/jobs-detail-page/?positionId=36625 Best, -Kristiaan Pelckmans

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Post-doc (or PhD student) in Computational and Cognitive Neuroscience
by Pieter Roelfsema 28 Apr '14

28 Apr '14

Post-doc (or PhD student) in Computational and Cognitive Neuroscience - What is the role of the cortical layers? A post-doc (or PhD student) position is available to study computational models about the roles of the different layers of the cerebral cortex in the Vision & Cognition group (head Pieter Roelfsema) at the Netherlands Institute for Neuroscience in Amsterdam. What roles do the different cortical layers play in visual processing? This project, funded by the Human Brain Project, aims to build computational models for the unique contributions of the different cortical layers to perceptual processing. We recently discovered that the cortical layers have different roles in visual perception (Self et al., Curr. Biol, 2013). We now wish to understand this subdivision of labor by making models of the layers and the interactions between them that take place in the visual cortex during perception. The candidate will have close interactions with researchers addressing laminar processing with high-field fMRI. The successful applicant will have a solid computational background and an interest in cognitive neuroscience, preferably affinity with neuroimaging, and good programming skills. Appointment: The position involves a temporary appointment for 2-4 years. To apply, please send application letter, CV and two letters of recommendation to: Tini Eikelboom The Netherlands Institute for Neuroscience Meibergdreef 47 1105 BA Amsterdam, The Netherlands Telephone: +31-20-5664587 E-mail: t.eikelboom(a)nin.knaw.nl<mailto:t.eikelboom@nin.knaw.nl>

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Two PhD Positions and one Postdoc Position in Machine Learning / Sensory Data Processing
by Jörg Lücke 28 Apr '14

28 Apr '14

The Machine Learning research group at the University of Oldenburg, Germany, 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. -- 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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BCBT2014 summer school
by BCBT, Bústia Compartida 25 Apr '14

25 Apr '14

*Barcelona Cognition, Brain and Technology Summer School (BCBT2014)* University Pompeu Fabra, Barcelona, Spain. September 1-12, 2014 http://bcbt.upf.edu/bcbt14/ Join us for the annual *"Barcelona Cognition, Brain and Technology summer school - BCBT2014 *" (see* http://bcbt.upf.edu/bcbt14 <http://bcbt.upf.edu/bcbt14>*) to be held from September 1-12, 2014 in Barcelona Spain. The BCBT summer school is part of a series of events organized by the Convergent Science Network of Biomimetics and Neurotechnology (*http://csnetwork.eu/ <http://csnetwork.eu/>*) and is positioned at the interface between biology and future and emerging technologies with an emphasis on the principles underlying brains and their translation to avant-garde technologies. BCBT promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. This is the 7th year of BCBT, which has ran with great success in previous years thanks to an excellent line-up of outstanding speakers (see bcbt.upf.edu for previous editions of the school). BCBT lectures are available online (see *http://csnetwork.eu/ <http://csnetwork.eu/>*) as well as the CSN *Podcast interviews *with many of the BCBT speakers. BCBT caters to students and researchers involved in projects that are in the ambit of "BIO-ICT convergence", "Brain Inspired ICT", "Cognitive systems-robotics". BCBT will offer up to 30 student slots for the practical workshops while as many researchers can register to attend the presentations and discussion sessions as they are interested. The atmosphere of the BCBT summer school is informal with the goal to stimulate in-depth discussion. There are presentations in the morning, usually 2, with the afternoons reserved for tutorials and projects for student participants and road-mapping workshops or further discussion for senior scientists. For the 2014 edition we plan a *1st week* of the school addressing *Evolutionary and Developmental aspects of nervous systems and behavior*(*Session 1*, 1-5 Sept*)*, while the *2nd week* will include presentations aimed at the investigation of *Core Brain Systems* with emphasis on the basal ganglia (*Session 2*, 8-9 Sept) followed by roadmapping sessions (*Session 3*, 10-11 Sept). Friday 12 is reserved for the presentation of the student projects to which everybody is invited. *Application deadline: August 2nd, 2014* For more information, and to apply, please go to http://bcbt.upf.edu/bcbt14/home BCBT2014 is supported by the Convergent Science Network of Biomimetics and Neurotechnology (*http://csnetwork.eu/ <http://csnetwork.eu/>*). and is co-organized by Paul Verschure (BCBT Chair) SPECS, University Pompeu Fabra Barcelona, ES Tony Prescott (BCBT Co-Chair) University of Sheffield, UK Leah Krubizer (BCBT Co-Chair) UC Davis, CA, USA Anna Mura (BCBT Co-Chair) SPECS, University Pompeu Fabra Barcelona, ES

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Invitation to NeuroFutures Summit - Seattle, June 16-18, 2014.
by Rad Roberts 25 Apr '14

25 Apr '14

We are pleased to invite you to the 2014 NeuroFutures Summit. Who/what/why: The NeuroFutures Summit will bring together research, industry, and clinical thought leaders to explore how innovations in neuromodulation, brain mapping, neuroimaging, computational neuroscience, and brain computer interfaces will transform our understanding of neural systems and enable life-changing medical treatments. Participants will learn the state of the art, present and discuss their work, and interact with neurotechnology leaders in a small conference setting. The abstract deadline for poster presenters is May 16th, 2014. Over thirty speakers are confirmed. See agenda below. When: Public lecture 6-8pm June 16th followed by the technical conference on June 17th and 18th, 2014. Where: Hotel Deca and the University of Washington, Seattle, WA. Website: Visit www.neurofutures.us to learn more. We hope you can join us. Sincerely, The organizers: Rad Roberts, Center for Sensorimotor Neural Engineering, University of Washington, Dan Rizzuto, Allen Institute for Brain Science, Bill Rooney, Oregon Health and Science University, and Bobby Heagerty, Oregon Health and Science University. NeuroFutures Summit Agenda June 16th- 18th, 2014 University of Washington, Seattle, WA <http://www.neurofutures.us> www.neurofutures.us Monday, June 16th, 6pm - 8pm Public lecture: The Brain on Circuit Training: Finding and Fixing Misfiring Neural Circuitry. A presentation by Dr. Andres Lozano with an interactive discussion moderated by David Heil. Tuesday, June 17th Functional Mapping Informs BCI and Neuromodulation Innovations Richard Buxton, UCSD, Kim Burchiel, OHSU, Richard Andersen, Caltech Measuring, Mapping, and Modifying Cognitive Function. Justin Sanchez, DARPA, Tom Grabowski, U of Washington, Brian Kopell, Mt. Sinai Hospital. Lunch, posters, informal discussion. Structure and Target Selection in Neuromodulation Chris Kroenke, OHSU, Andres Lozano, U of Toronto, David Newell, Swedish Neuroscience Institute. Mining Shared Neural Data Sets Magali Haas, Orion Bionetworks, Julie Harris, Allen Institute for Brain Science, Mike Hawrylycz, Allen Institute for Brain Science, Paul Fearn, Fred Hutchinson Cancer Research Center. Northwest NeuroNeighborhood Resources and Partnering Opportunities I. Bart Keogh, Radia Inc., Rajesh Rao, U of Washington, John Henson, Swedish Neuroscience Institute. Evening reception at the Burke Museum of Natural History and Culture. Wednesday, June 18th The Past, Present, and Future of Closed-loop Neuromodulation. Milton Morris, Cyberonics, Eberhard Fetz, U of Washington, Tim Denison, Medtronic. Ryder Gwinn, Swedish Neuroscience Institute. De-coding Commands and Learning Modes in the Motor Cortex. Chet Moritz, U of Washington, Jeff Ojemann, U of Washington, Adrienne Fairhall, U of Washington. Neurotechnology Development and Brain Mapping: A Virtuous Cycle Ed Lein, AIBS, Craig Forest, Georgia Institute of Technology. Northwest NeuroNeighborhood Resources and Partnering Opportunities II. Norman Beauchamp, U of Washington. Bob Wilcox, Viket Medical. Lunch, posters, informal discussion. Generating and Handling Large Neural Data Sets. Hanchuan Peng, Allen Institute for Brain Science, Tim Blanche, Allen Institute for Brain Science, Bing Brunton, U of Washington, Matt Reynolds, U of Washington. Neural engineering approaches for hearing, sight, and memory prostheses. Adrian KC Lee, U of Washington, Josh Jacobs, Drexel University

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Reminder: Abstract submission closes April 27 for Neuroinformatics 2014
by Malin Sandström 25 Apr '14

25 Apr '14

Welcome to the 7th INCF Congress of Neuroinformatics in Leiden, the Netherlands, August 25 - 27, 2014 Neuroinformatics 2014 includes keynote lectures (Margarita Behrens, Mitya Chklovskii, Daniel Choquet, Ila Fiete, Michael Milham, and Felix Schürmann), workshops, and a special symposium on population-based neuroimaging, hosted by the INCF Netherlands Node. The last day to submit your abstract is April 27, submit it here: http://www.neuroinformatics2014.org/abstracts Registration is open at http://www.neuroinformatics2014.org/registration Watch the NI2014 promo video: http://www.youtube.com/watch?v=aEudq3SOwK0 We kindly ask that you print and display the congress poster at your institution: it's available for download at http://www.neuroinformatics2014.org/documents/a0_poster_nov_2013 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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International Workshop on The Versatile Action of Noise, June 22-27, 2014 in Bremen
by Alberto Bernacchia 24 Apr '14

24 Apr '14

Dear Colleagues, we are organizing an international workshop on *The Versatile Action of Noise: Applications from Genetic to Neural Circuits* at Jacobs University Bremen, Germany from June 22-27, 2014. http://noise-workshop.user.jacobs-university.de/<https://exchange.jacobs-university.de/owa/redir.aspx?C=gZfK3TmIBkiF8b5kI43d…> Stochastic mechanisms, often summarized under “noise”, are ubiquitous in artificial and biological networks. In applications to genetic circuits the goal is to trace back the various manifestations of noise to a few sources on underlying levels like the stochastic fluctuations in biochemical reactions, to follow the propagation and modification of noise towards the cellular level and to pursue the interaction of different sources of noise with respect to their mutual repression or amplification. In applications to neural systems the focus is on microscopic noise, e.g. the thermal fluctuations on channel dynamics, the effect of synaptic noise on neuronal firing, but also on large-scale collective fluctuations of brain areas, information loss, effects of large-scale noise on attention and decision-making, as well as on bridges between the different levels. A comparison between both types of applications should reveal parallels in how natural systems transform or utilize noise. It is the tools of theoretical physics that provide a deeper understanding of its role, in particular when it acts counterintuitive. Advanced methods from statistical physics and nonlinear dynamics allow for predicting the action of noise on excitable media like neural systems, extinction events in various populations and noise-induced rare events. *We invite applications from graduate students, PhD students and postdocs with a background in theoretical physics, applied mathematics with an interest in biological applications and neuroscience. Applicants from the experimental side should be interested in the mathematical modeling and analysis of experimental data.* The fee is *150 Euro* *for early registration until April 30* and 250 Euro afterwards, including accommodation in the guesthouse on campus and all meals, for the period of the workshop. The workshop is generously supported by the WE-Heraeus foundation. For registration please visit our website. Selected abstracts will be invited for oral presentation, we shall also have poster sessions. Kind regards Hildegard Meyer-Ortmanns and Alberto Bernacchia *Invited speakers:* *Michael Assaf * (*Racah Institute of Physics, Hebrew University of Jerusalem);*Jan Benda* * (Eberhard Karls University, Tübingen);*Michael Breakspear ** (QIMR and UNSW Berghofer, Sidney, Australia);*Thierry Emonet ** (Yale University, New Haven, U.S.A.);*Tobias Galla ** (Manchester University, Manchester);*Jordi Garcia-Ojalvo ** (Universitat Pompeu Fabra, Barcelona );*Benjamin Lindner ** (Humboldt University, Berlin);*Wolfgang Maass * *(Graz Technical University, Graz);*Ralf Metzler * *(Potsdam University, Potsdam);*Sidney R. Nagel* (The University of Chicago, U.S.A.);*Simone Pigolotti* * (Universitat Politecnica de Catalunya, Barcelona);*Joachim Rädler ** (Ludwig Maximilians University, Munich);*Jaime de la Rocha* (*) (Institut D’ Invest. Biomèdiques August Pi i Sunyer, Barcelona);*Lutz Schimansky-Geier**(Humboldt University, Berlin);*Susanne Schreiber**(Humboldt University, Berlin);*Pieter Rein Ten Wolde ** (FOM Institute AMOLF, Amsterdam);*Raúl Toral ** (IFISC, UIB-CSIC, Palma de Mallorca) *confirmed *Topics include:* § The effects of extrinsic noise on cellular decision making; § Correlated fluctuations in genetic networks; § Propagation of noise of sequential gene regulation; § Error rates in biological copying; § Single cell response and decision making under noise; § The generation of transcriptional noise in bacteria; § Costs and benefits of biochemical noise; § Noise in large-scale cortical rhythms; § Noise-induced order in collective neural populations; § Computations by noisy networks of spiking neurons § Noise and irregular firing in cortical circuits; § Cellular mechanisms of temperature-compensation in receptor neurons; § Coherent noise, scale invariance and intermittency in large systems; § Shaping noise for population success; § Quasi-cycles induced by noise; § Interplay between noise and delay. § *Scientific Organization* *Prof. Dr. Hildegard Meyer-Ortmanns*<https://exchange.jacobs-university.de/owa/redir.aspx?C=gZfK3TmIBkiF8b5kI43d…>/ Statistical Physics Group / Jacobs University Bremen gGmbH / School of Engineering and Science / Campus Ring 8 / 28759 Bremen / Germany / Tel: ++49 (0) 421 / 200-3221 / Tel: ++49 (0) 421 / 200-3249 / Email: h.ortmanns(a)jacobs-university.de<https://exchange.jacobs-university.de/owa/redir.aspx?C=gZfK3TmIBkiF8b5kI43d…> *Prof. Dr. Alberto Bernacchia*<https://exchange.jacobs-university.de/owa/redir.aspx?C=gZfK3TmIBkiF8b5kI43d…>/ Computational Neuroscience Group / Jacobs University Bremen gGmbH / School of Engineering and Science / Campus Ring 6 / 28759 Bremen / Germany / Tel: ++49 (0) 421 / 200-3542 / Tel: ++49 (0) 421 / 200-3249 / Email: a.bernacchia(a)jacobs-university.de<https://exchange.jacobs-university.de/owa/redir.aspx?C=gZfK3TmIBkiF8b5kI43d…>

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Special issue of the Journal of Mathematical Neuroscience
by Olivier Faugeras 24 Apr '14

24 Apr '14

Dear all, I am pleased to announce that a Special Issue of the Journal of Mathematical Neuroscience on Uncertainty and the Brain has just appeared in Open Access at: http://www.mathematical-neuroscience.com/series/UB Uncertainty and the Brain Edited by: Dr Olivier Faugeras, Prof Michele Thieullen Theoretical and applied neuroscientists are in great need of stochastic models to account for sources of uncertainty in neural tissues in a mathematically rigorous framework allowing for quantitative descriptions and predictions. Collection published: 17 April 2014 Editorial ** *Editorial for the Special Issue on Uncertainty in the Brain <http://www.mathematical-neuroscience.com/content/4/1/7>* Olivier Faugeras, Michèle Thieullen /The Journal of Mathematical Neuroscience/ 2014, *4*:7 (17 April 2014) ** *Measuring Edge Importance: A Quantitative Analysis of the Stochastic Shielding Approximation for Random Processes on Graphs <http://www.mathematical-neuroscience.com/content/4/1/6>* Deena R Schmidt, Peter J Thomas /The Journal of Mathematical Neuroscience/ 2014, *4*:6 (17 April 2014) Research ** *How Uncertainty Bounds the Shape Index of Simple Cells <http://www.mathematical-neuroscience.com/content/4/1/5>* D Barbieri, G Citti, A Sarti /The Journal of Mathematical Neuroscience/ 2014, *4*:5 (17 April 2014) ** *Fokker--Planck and Fortet Equation-Based Parameter Estimation for a Leaky Integrate-and-Fire Model with Sinusoidal and Stochastic Forcing <http://www.mathematical-neuroscience.com/content/4/1/4>* Alexandre Iolov, Susanne Ditlevsen, André Longtin /The Journal of Mathematical Neuroscience/ 2014, *4*:4 (17 April 2014) ** *Goodness-of-Fit Tests and Nonparametric Adaptive Estimation for Spike Train Analysis <http://www.mathematical-neuroscience.com/content/4/1/3>* Patricia Reynaud-Bouret, Vincent Rivoirard, Franck Grammont, Christine Tuleau-Malot /The Journal of Mathematical Neuroscience/ 2014, *4*:3 (17 April 2014) ** *Large Deviations for Nonlocal Stochastic Neural Fields <http://www.mathematical-neuroscience.com/content/4/1/1>* Christian Kuehn, Martin G Riedler /The Journal of Mathematical Neuroscience/ 2014, *4*:1 (17 April 2014) ** *A Density Model for a Population of Theta Neurons <http://www.mathematical-neuroscience.com/content/4/1/2>* Grégory Dumont, Jacques Henry, Carmen Tarniceriu /Journal of Mathematical Neuroscience/ 2014, *4*:2 (17 April 2014) --------------------------------------------------------------------------------------- : Olivier Faugeras : Professor : Equipe INRIA NeuroMathComp Team : co-editor in chief, Journal of Mathematical Neuroscience : http://www-sop.inria.fr/members/Olivier.Faugeras/index.en.html : Email: olivier.faugeras(a)inria.fr : Tel: +334 92 38 78 31 : Sec: +334 92 38 78 30 : ---------------------------------------------------------------------------------------

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[RSS2014] CfP: First Workshop on Affordances: Affordances in "Vision for Cognitive Robotics" (in conjunction with RSS 2014)
by Karthik Mahesh Varadarajan 23 Apr '14

23 Apr '14

====================================================================== *Call for Papers- First Workshop on Affordances: Affordances in Vision for Cognitive Robotics* (in conjunction with RSS 2014), July 13, 2014, Berkeley, USA http://affordances.info/workshops/RSS.html ====================================================================== Based on the Gibsonian principle of defining objects by their function, "affordances" have been studied extensively by psychologists and visual perception researchers, resulting in the creation of numerous cognitive models. These models are being increasingly revisited and adapted by computer vision and robotics researchers to build cognitive models of visual perception and behavioral algorithms in recent years. This workshop attempts to explore this nascent, yet rapidly emerging field of affordance based cognitive robotics while integrating the efforts and language of affordance communities not just in computer vision and robotics, but also psychophysics and neurobiology by creating an open affordance research forum, feature framework and ontology called AfNet (theaffordances.net) In particular, the workshop will focus on emerging trends in affordances and other human-centered function/action features that can be used to build computer vision and robotic applications. The workshop also features contributions from researchers involved in traditional theories to affordances, especially from the point of view of psychophysics and neuro-biology. Avenues to aiding research in these fields using techniques from computer vision and cognitive robotics will also be explored. Primary topics addressed by the workshop include the following among others - Affordances in visual perception models - Affordances as visual primitives, common coding features and symbolic cognitive systems - Affordances for object recognition, search, attention modulation, functional scene understanding/ classification - Object functionality analysis - Affordances from appearance and touch based cues - Haptic adjectives - Functional-visual categories for transfer learning - Actions and functions in object perception - Human-object interactions and modeling - Motion-capture data analysis for object categorization - Affordances in human and robot grasping - Robot behavior for affordance learning - Execution of affordances on robots - Affordances to address cognitive and domestic robot applications - Affordance ontologies - Psychophysics of affordances - Neurobiological and cognitive models for affordances The workshop also seeks to address key challenges in robotics with regard to functional form descriptions. While affordances describe the function that each object or entity affords, these in turn define the manipulation schema and interaction modes that robots need to use to work with objects. These functional features, ascertained through vision, haptics and other sensory information also help in categorizing objects, task planning, grasp planning, scene understanding and a number of other robotic tasks. Understanding various challenges in the field and building a common language and framework for communication across varied communities in are the key goals of the proposed workshop. Through the course of the workshop, we also envisage the establishment of a working group for AfNet. An initial version is available online at www.theaffordances.net. We hope the workshop will serve to foster greater collaboration between the affordance communities in various fields. *Paper Submissions* Paper contributions to the workshop are solicited in four different formats - *Conceptual papers* (1 page): Authors are invited to submit original ideas on approaches to address specific problems in the targeted areas of the workshop. While a clear presentation of the proposed approach and the expected results are essential, specifics of implementation and evaluations are outside the scope of this format. This format is intended at exchange and evaluation of ideas prior to implementation/ experimental work as well as to open up collaboration avenues. - *Design papers* (3 pages): Authors submitting design papers are required to address key issues regarding the problem considered with detailed algorithms and preliminary or proof-of-concept results. Detailed evaluations and analyses are outside the scope of this format. This format is intended at addressing late-breaking and work in progress results as well as fostering collaboration between research and engineering groups. - *Experimental papers* (3 pages): Experimental papers are required to present results of experiments and evaluation of previously published algorithms or design frameworks. Details of implementation and exhaustive test case analyses are key to this format. These papers are geared at benchmarking and standardizing previously known approaches. - *Full papers* (5 pages): Full papers must be self-inclusive contributions with a detailed treatment of the problem statement, related work, design methodology, algorithm, test-bed, evaluation, comparative analysis, results and future scope of work. Submission of original and unpublished work is highly encouraged. Since the goal of this workshop is to bring together the various affordance communities, extended versions/ summary reports of recent research published elsewhere, as adapted to the goals of the workshop, will also be accepted. These papers are required to clearly state the relevance to the workshop and the necessary adaptation. The program will be composed of oral as well as Pecha-Kucha style presentations. Each contribution will be reviewed by three reviewers through a single-blind review process. The paper formatting should follow the RSS formatting guidelines (Templates: Word<http://www.roboticsconference.org/paper-template-word.zip> andLaTeX <http://www.roboticsconference.org/paper-template-latex.tar.gz>). All contributions are to be submitted via Microsoft Conference Management Tool <https://cmt.research.microsoft.com/A2014/Default.aspx> in PDF format. Appendices and supplementary text can be submitted as a second PDF, while other materials such as videos (though, preferably as links on vimeo or youtube) as a zipped file. All papers are expected to be self-inclusive and supplementary materials are not guaranteed to be reviewed. Please adhere to the following strict deadlines. In addition to direct acceptance, early submissions may be conditionally accepted, in which case submission of a revised version of the paper based on reviewer comments, prior to the late submission deadline is necessary. The final decision on acceptance of such conditionally accepted papers will be announced along with the decisions for the late submissions. *Important Dates* - Initial submissions (Early): 23:59:59 PDT May 5, 2014 - Notification of acceptance (Early submissions): May 15, 2014 - Initial submissions (Late): 23:59:59 PDT May 27, 2014 - Notification of acceptance (Late submissions): June 5, 2014 - Submission of publication-ready version: June 10, 2014 - Workshop date: July 13, 2014 *Organizers* Karthik Mahesh Varadarajan <http://www.karthikmahesh.com/> (varadarajan(at) acin.tuwien.ac.at), TU Wien Markus Vincze <http://www.acin.tuwien.ac.at/index.php?id=231&L=1> (vincze(at)tuwien.ac.at), TU Wien Trevor Darrell <http://www.eecs.berkeley.edu/~trevor/> (trevor(at) eecs.berkeley.edu) UC. Berkeley Juergen Gall <http://www.vision.ee.ethz.ch/~gallju/>(gall(at)iai.uni-bonn.de), Univ. Bonn *Speakers and Participants* (To be updated) Abhinav Gupta (Affordances in Computer Vision), Carnegie Mellon University Ashutosh Saxena (Affordances in Cognitive Robotics), Cornell University Lisa Oakes (Psychophysics of affordances)*, UC. Davis TBA (Neurobiology of affordances)* *Program Committee* Irving Biederman (USC) Aude Olivia (MIT) Fei-Fei Li (Stanford University) Martha Teghtsoonian (Smith College) Derek Hoiem (UIUC) Barbara Caputo (Univ. of Rome, IDIAP) Song-Chun Zhu (UCLA) Antonis Argyros (FORTH) Tamim Asfour (KIT) Michael Beetz (TUM) Norbert Krueger (Univ. of Southern Denmark) Sven Dickinson (Univ. of Toronto) Diane Pecher (Erasmus Univ. Rotterdam) Aaron Bobick (GeorgiaTech) Jason Carso (UB New York) Juan Carlos Niebles (Universidad del Norte) Tamara Berg (UNC Chapel Hill) Moritz Tenorth (Univ. Bremen) Dejan Pangercic (Robert Bosch) Roozbeh Mottaghi (Stanford) Alireza Fathi (Stanford) Xiaofeng Ren (Amazon) David Fouhey (CMU) Tucker Hermans (Georgia Tech) Tian Lan (Stanford) Amir Roshan Zamir (UCF) Hamed Pirsiavash (MIT) Walterio Mayol-Cuevas (Univ. of Bristol)

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new MATLAB toolbox for Granger causality analysis
by Anil Seth 23 Apr '14

23 Apr '14

Dear all, Lionel Barnett and I are pleased to announce the availability of our wholly new MATLAB toolbox for implementing Granger causality analysis. This new free software is a wholesale revision of my previous ‘GCCA’ toolbox which has been available since 2010 (http://www.ncbi.nlm.nih.gov/pubmed/19961876) and which has enjoyed a wide uptake within the neuroscience community and beyond. Granger causality is a powerful analysis method which can be used to detect directed functional connectivity in stationary time-series data, of the sort often (but not always) found in neuroscience datasets. The new ‘multivariate Granger causality’ ‘MVGC’ toolbox offers a range of enhancements. It easily handles conditional spectral analyses. It requires only estimation of the ‘full’ regression model, avoiding biases inherent in estimation of both full and reduced models. It is accompanied by a fully functional help system integrated into the online MATLAB documentation. And much else besides. The toolbox can be downloaded here: http://www.sussex.ac.uk/sackler/mvgc/ A paper describing the toolbox and the basic concepts and maths underlying Granger causality has been recently published in Journal of Neuroscience Methods: http://www.sciencedirect.com/science/article/pii/S0165027013003701 … which is the appropriate citation for any published work utilizing the software. Preparation of the toolbox was supported by the Sackler Centre for Consciousness Science, which is funded by the Dr. Mortimer and Dame Theresa Sackler Foundation. We hope you find it useful! Best regards Anil Seth and Lionel Barnett ------------------------------------------- Anil K. Seth, D.Phil. Professor of Cognitive and Computational Neuroscience Co-Director, Sackler Centre for Consciousness Science University of Sussex www.anilseth.com<http://www.anilseth.com> a.k.seth(a)sussex.ac.uk<mailto:a.k.seth@sussex.ac.uk>

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DecMeg2014 data analysis competition
by Emanuele Olivetti 22 Apr '14

22 Apr '14

DecMeg2014 data analysis competition Biomag 2014 Decoding Challenge - Brain Decoding Across Subjects https://www.kaggle.com/c/decoding-the-human-brain Decoding mental states from functional neuroimaging data is a data analysis paradigm adopted both in neuroscience studies and in brain-computer interface applications. Decoding means determining, from the recorded brain activity, what stimulus was provided to a subject. In this competition, a large number of trials, from a face vs. scrambled face visual task, are available from multiple subjects. The brain activity was recorded by means of magnetoencephalography (MEG). MEG recordings from various subjects and the category of the associated visual stimuli are given to the participants of the competition in order to train their prediction algorithms. With their algorithms, the participants will have to predict the category of the stimulus of a different set of MEG recordings, from other subjects. Each submission to the competition will be scored according to the accuracy of prediction. Decoding across subjects is a difficult task because of the variability in head shape, cortical folding and functional organisation. For MEG data, the literature on decoding across subjects is still in early stages and this competition aims at raising the awareness about this complex scientific problem. This competition is associated with the the 19th International Conference on Biomagnetism, Biomag 2014, Halifax (Canada), August 24-28, 2014. The competition begins: April 21st, 2014. The competition ends: July 27th, 2014. Prizes: 1st 3,000 USD, 2nd 1,500 USD, 3rd 500 USD. Organizers: Emanuele Olivetti, Seyed Mostafa Kia and Paolo Avesani (NeuroInformatics Lab, Bruno Kessler Foundation and University of Trento, IT), e-mail: decmeg2014(a)list.fbk.eu . Scientific steering committee: Ole Jensen (Donders Institute, NL), Nathan Weisz (University of Trento, IT), Richard Henson (MRC/CBU, UK) and Alexandre Gramfort (Telecom ParisTech, CNRS, CEA / Neurospin). We would also like to thank Daniel Wakeman (Martinos Center, MGH, USA). The awards for this competition are funded by Elekta Oy, MEG International Services Ltd (MISL), Fondazione Bruno Kessler and Besa Gmbh. Relevant links: - competition website: https://www.kaggle.com/c/decoding-the-human-brain - Biomag 2014: http://www.biomag2014.org - NeuroInformatics Lab: http://nilab.fbk.eu - Elekta Oy: http://www.elekta.com - MISL (CTF MEG): http://www.ctfmeg.com - Fondazione Bruno Kessler: http://www.fbk.eu - Besa GmbH: http://www.besa.de Please feel free to forward this message to your colleagues or contacts who might be interested in this competition.

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NEURON Summer Course deadline approaching
by Ted Carnevale 22 Apr '14

22 Apr '14

The early registration deadline for the NEURON Summer Course is Friday, May 9, less than three weeks from today. Applicants who sign up by that date are eligible for reduced registration fees. NEURON Fundamentals June 21-24 This course shows how to model individual neurons and networks of neurons, and introduces parallel simulation. The early registration fee is $1050, but after May 9 registration goes up to $1200. Parallel Simulation with NEURON June 25-26 This is for users who are already familiar with NEURON and now need to parallelize an existing model or create a new model that will run on parallel hardware. The early registration fee is $650, but after May 9 it goes up to $750. Sign up for both courses by May 9 and pay only $1600, or wait until May 10 or later and pay $1800. Registration is limited, and the final registration deadline is Friday, May 30, 2014. For more information about these courses see http://www.neuron.yale.edu/neuron/courses or contact Ted Carnevale ted dot carnevale at yale edu 203-494-7381

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CoSMo 2014: application deadline approaching!
by Gunnar Blohm 22 Apr '14

22 Apr '14

Just a quick reminder that the application deadline for the summer school on Computational Sensory-Motor Neuroscience (CoSMo 2014) is approaching fast: Apr 28, 2014!!! http://www.compneurosci.com/CoSMo/ Best Gunnar Blohm, Konrad Körding, Paul Schrater -- ------------------------------------------------------- Dr. Gunnar BLOHM Assistant Professor in Computational Neuroscience Centre for Neuroscience Studies, Departments of Biomedical and Molecular Sciences, Mathematics & Statistics, and Psychology, School of Computing, and Canadian Action and Perception Network (CAPnet) Queen’s University 18, Stuart Street Kingston, Ontario, Canada, K7L 3N6 Tel: (613) 533-3385 Fax: (613) 533-6840 Email: Gunnar.Blohm(a)QueensU.ca Web: http://www.compneurosci.com/

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Advanced Statistics and Data Mining Summer School (Madrid) - Early registration deadline
by asdm＠fi.upm.es 22 Apr '14

22 Apr '14

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

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2nd call for papers - 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
by 2014 IEEE International Workshop on Machine Learning fo Signal Processing 22 Apr '14

22 Apr '14

2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) September 21-24, 2014 Reims, France http://mlsp2014.conwiz.dk CALL FOR PAPERS The 24th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials as well as special and regular single-track sessions. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: - Learning theory and techniques - Graphical models and kernel methods - Data-driven adaptive systems and models - Pattern recognition and classification - Distributed, Bayesian, subspace/manifold and sparsity-aware learning - Multiset data analysis and multimodal data fusion - Perceptual signal processing in audio, image and video - Cognitive information processing - Multichannel adaptive and nonlinear signal processing - Applications, including: speech and audio, image and video, music, biomedical signals and images; communications; bioinformatics; biometrics, computational intelligence, genomic signals and sequences; social networks; games, and smart grid. DATA ANALYSIS AND SIGNAL PROCESSING COMPETITION Data Analysis and Signal Processing Competition is being organized in conjunction with the workshop. The goal of the competition is to advance the current state-of-the-art in theoretical and practical aspects of signal processing domains. The problems are selected to reflect current trends, evaluate existing approaches on common benchmarks, and identify critical new areas of research. Winners will be announced and awards given at the workshop. BEST STUDENT AWARD The MLSP Best Student Paper Award will be granted to the best overall paper for which a student is the principal author and presenter. This author must be a registered student at the time of paper submission to be eligible for this award. The award will be presented during the conference and consists of a honorarium (to be divided equally between all student authors of the paper), and a certificate for each such author. The award will be selected by a subcommittee of the program committee. The selection is based on the quality, originality, and clarity of the submission. PAPER SUBMISSION Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure at http://mlsp2014.conwiz.dk/paper_submission.htm Accepted papers will be published on memory sticks to be distributed at the workshop. The presented papers will be published in and indexed by IEEE Xplore. SCHEDULE: - Submission of full paper: May 5, 2014 - Notification of acceptance: June 27, 2014 - Advance registration before: July 25, 2014 - Camera-ready paper: July 25, 2014 ORGANIZING COMMITTEE: General Chair Mamadou Mboup Contact general chair at mlsp2014-chair(a)conwiz.dk Program Chairs Tülay Adali Eric Moreau Contact program chairs at mlsp2014-programchairs(a)conwiz.dk Data Competition Chair Vince Calhoun Special Session Chair Jean-Yves Tourneret Publicity Chair Marc Van Hulle Web and Publication Chair Jan Larsen Kevin Guelton Local Arrangement Chairs Valeriu Vrabie Hassan Fenniri

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Endeavour Scholarships and Fellowships
by Naotsugu Tsuchiya 22 Apr '14

22 Apr '14

Dear all, The Australian government is offering Endeavour Scholarships and Fellowships https://aei.gov.au/scholarships-and-fellowships/international-applicants/pa… to those competitive international students and postdocs to visit and conduct short-term research in Australia. Please see the web site if you are interested. In my lab, we are looking for students/postdocs who are proficient in Matlab (and preferably signal processing and/or information theory as well) and interested in 1) application of the integrated information theory of consciosness to the real neuronal data, 2) analysis of intracranial recording data (using decoding, cross-frequency coupling etc) to understand the neuronal basis of consciousness. Please send me <naotsugu.tsuchiya(a)monash.edu> your CV if you are interested. Endeavour Awards will be closing 30 June 2013. Regards Nao Tsuchiya -- ------------------------------------------------------------------------- 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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NIPS 2014 Call for Papers
by Chris Hiestand 22 Apr '14

22 Apr '14

Neural Information Processing Systems Conference and Workshops December 8-13, 2014 Montreal Convention Center, Montreal, Canada Deadline for Paper Submissions: Friday, June 6, 2014, 11 pm Universal Time (4 pm Pacific Daylight Time). Submit at: https://cmt.research.microsoft.com/NIPS2014/ Submissions are solicited for the Twenty-Eigth Annual Conference on Neural Information Processing Systems, an interdisciplinary conference that brings together researchers in all aspects of neural and statistical information processing and computation, and their applications. The conference is a highly selective, single track meeting that includes oral and poster presentations of refereed papers as well as invited talks. The 2014 conference will be held on December 8-11 at Montreal Convention Center, Montreal, Canada. One day of tutorials (December 8) will precede the main conference, and two days of workshops (December 12-13) will follow it at the same location. Complete details: http://nips.cc/Conferences/2014/CallForPapers

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Postdoctoral Position in Computational and Experimental Social Neuroscience
by Emmanuelle Tognoli 20 Apr '14

20 Apr '14

The Human Brain and Behavior Laboratory (HBBL), Center for Complex Systems and Brain Sciences at Florida Atlantic University (FAU) invites applications for a Postdoctoral Position in Experimental and Computational Social Neuroscience. The research program aims to advance our understanding of basic forms of real-time social behavior. This new NIMH-supported program employs a three-pronged approach that combines (1) experimental studies aimed at elucidating how neuromarkers are organized dynamically during the course of social interaction (2) the design and analysis of the Human Dynamic Clamp (reciprocal coupling between humans and mathematical models of a social partner) and (3) multiscale neurocomputational modeling of both structure and function. The postdoctoral scientist will be highly motivated and able to work independently. He/she will also collaborate within an interdisciplinary team of researchers whose expertise spans Neuroscience, Psychology and Physics. The successful applicant will contribute to the design and conduct of neurobehavioral experiments and to theoretical modeling in which social interactions are treated as meaningfully coupled dynamical systems (Coordination Dynamics). Candidates should have a PhD degree or equivalent. Experience or willingness to learn in one or more relevant domains will be considered an advantage: - Theoretical modeling, dynamical systems - Preparation and conduct of social, neurobehavioral and neurocognitive experiments - Recording and analysis of brain activity and behavior (e.g. EEG, MEG, fMRI, etc) - Digital signal processing and statistical analysis - Programming (Matlab, C, visual basic), - Excellent writing skills The position will be for one year with a possibility of extension depending on satisfactory progress. Salary will be commensurable with experience. Review of applications will begin immediately and continue until the position is filled. Qualified candidates should send a CV and arrange for 3 reference letters via email to: J. A. Scott Kelso & Emmanuelle Tognoli, kelso at ccs.fau.edu, tognoli at ccs.fau.edu www.ccs.fau.edu/hbbl.html HBBL, Center for Complex Systems & Brain Sciences, Florida Atlantic University, Boca Raton, FL USA -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

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OpenWorm for scientists
by Stephen Larson 19 Apr '14

19 Apr '14

Hi all, OpenWorm <http://openworm.org/> is an open source project and open science community dedicated to creating the world’s first whole organism in a computer, a C. elegans nematode<https://en.wikipedia.org/wiki/Caenorhabditis_elegans>, via bottom-up computational modeling. It is an association of highly motivated scientists, engineers, coders, and curious citizens from around the world who believe in open science and open access. While our ultimate goal is to simulate every cell in the c. elegans, we are starting out by building a model of its body and environment, its nervous system, and its muscle cells. At the center of this is an incrementally improving detailed multi-compartmental representation of the c. elegans nervous system<http://docs.openworm.org/en/latest/Projects/datarep.html#neuroml-connectome>. You can read more about our neuromechanical modeling approach in our online documentation<http://docs.openworm.org/en/latest/modeling.html#closing-the-loop-with-neur…> . We've recently pulled together a page<http://www.openworm.org/science.html> that focuses content that is relevant to experimental biologists and other scientists in a single place online. http://www.openworm.org/science.html This outreach effort is aimed at creating a conversation between biologists collecting data and making observations and computational modelers building models and validating them against real data. We invite the comp-neuro community to have a look, provide feedback, and join the conversation! Thanks, Stephen Larson, Ph.D Project coordinator http://openworm.org

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Postdoc/engineer positions in Parkinsons/DBS and Neuroprosthetics
by Dawn Taylor 18 Apr '14

18 Apr '14

We currently have multiple openings for Postdocs and/or engineers for two newly funded studies. Detailed descriptions of each study are listed below. If interested, please send a CV to Dr. Dawn Taylor at dxt42(a)case.edu. 1) The goal of the *Parkinson's* project is to understand how Parkinson's disease alters cortical network processing and how *Deep Brain Stimulation (DBS)* can be improved to better re-normalize motor processing. Cortical network activity will be recorded in monkeys via intracortical electrode arrays before and after making the animals hemi-Parkinsonian via injections of the selective neurotoxin MPTP (note this toxin is initially applied in such a way that the animal only develops parkinsonian symptoms on one half of its body so the animal can still groom, ambulate, and take care of itself). DBS will then be applied to two subcortical regions (subthalamic nucleus and globus pallidus) to alleviate Parkinsonian symptoms. Computational models of the cortical microcircuit will be developed that accurately reflect the recorded cortical activity in the normal and Parkinsonian states as well as under the influence of different DBS patterns. The model parameters that need to be changed to make the network computational model behave like the recorded experimental data under the different conditions will be informative regarding the underlying mechanisms of DBS. The refined computational model will also be used to rapidly screen for new DBS patterns that are more effective at restoring normal cortical network processing. The improved DBS patterns suggested by the computational model will then be validated by testing those novel patterns in the monkeys. This project is being done in conjunction with Dr. Cameron McIntyre who will oversee the computational modelling part of the study. We are looking for multiple post docs that can focus on either the animal work, the computational modeling, or both depending on their skills and interests. 2) The long-term goal of the *Neuroprosthetics* project is to enable paralyzed individuals to use their brain signals to control their upper limb via implanted muscle stimulators. Most labs working on brain-controlled neuroprosthetics decode intended limb kinematics (e.g. velocity, joint angles, etc.) from the recorded brain signals. However, that approach still requires converting those kinematic commands into the appropriate stimulation patterns required to generate the desired limb motion. That conversion process has not been resolved for the upper limb due to the limb's complex dynamical nature and the fact that the limb is subject to unknown external forces during use. We bypass this obstacle by retraining the brain to control muscle stimulators directly. We have come up with some novel, but clinically feasible ways of mapping neural signals directly to muscle stimulators. Our methods can enable the user to have good control over both limb motion and stiffness. To demonstrate and refine our methods, we are training monkeys to control the movements of a realistic musculoskeletal model of a paralyzed limb activated via implanted muscle stimulators. The paralyzed limb simulator (developed by the lab of Robert Krisch) provides real-time visual feedback to the animal of the limb motion that would result from stimulating the paralyzed muscles based on the animal's neural signals decoded in real time. The use of this real-time paralyzed arm simulator allows us to test and refine our process of brain-controlled muscle stimulation in monkeys without actually having to paralyze any animals. -- Dawn M. Taylor, Ph.D. Assistant Professor of Neuroscience, Cleveland Clinic Researcher Scientist, Cleveland VA Medical Center, Functional Electrical Stimulation Center Assistant Professor of Biomedical Engineering & of Molecular Medicine, Case Western Reserve University The Cleveland Clinic Lerner Research Institute 9500 Euclid Ave. / NC30 Cleveland, OH 44195 email: dxt42(a)case.edu or taylord8(a)ccf.org Phone: (216) 636-0140 Fax: (216) 778-4259

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Major change in NIH Policy regarding Revision (Amended) Applications -- NOT-OD-14-074
by Glanzman, Dennis (NIH/NIMH) [E] 17 Apr '14

17 Apr '14

I am writing to let the community know that effective immediately, NIH no longer limits applicants to a single Revision Application (A1). >From today's Notice: "... following an unsuccessful resubmission (A1) application, applicants may submit the same idea as a new (A0) application for the next appropriate due date." See the full Notice online at: http://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-074.html Dennis L. Glanzman, Ph.D. Chief, Theoretical and Computational Neuroscience Program National Institute of Mental Health, NIH, DHHS 6001 Executive Boulevard Room 7192; MSC 9637 Bethesda, MD 20892-9637 Telephone: (301) 443-6429

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Postdoctoral position in systems neuroscience at the University of Manchester
by Mark Humphries 17 Apr '14

17 Apr '14

We seek an electrophysiologist to join a team investigating the neural basis of perception. This is a BBSRC-funded project led by Dr Rasmus Petersen in collaboration with Dr Mark Humphries at the University of Manchester, UK. The project is a multidisciplinary team effort involving both experimentalists and computational modellers. Your primary role will be experimental. You will be using state-of-the-art electrophysiological methods to investigate active perception in an awake, behaving in vivo model, using a whisker-guided sensory discrimination task. You will also have the opportunity to develop your skills in data analysis. You will hold a Ph.D. in neuroscience and experience of electrophysiological recording in vivo. Experience with data analysis is an advantage. The position is immediately available and will be for up to 3 years. For more details and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=7514 Informal enquiries can be made to Dr Rasmus Petersen. Email r.petersen(a)manchester.ac.uk<mailto:r.petersen@manchester.ac.uk> Dr Mark Humphries MRC Senior non-Clinical Research Fellow AV Hill Building Faculty of Life Sciences University of Manchester http://www.systemsneurophysiologylab.ls.manchester.ac.uk/

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Fully funded combined theoretical and experimental neuroscience PhD at UCL
by Peter Latham 16 Apr '14

16 Apr '14

We are looking for an exceptional candidate to carry out a combined theoretical and experimental PhD. The student will receive training from two labs: Professor Peter Latham (Gatsby Computational Neuroscience Unit; theory) and Professor Michael Hausser (Wolfson Institute for Biomedical Research; experiment). The candidate will initially be based at the Gatsby Unit with Professor Latham, taking courses in computational neuroscience and developing theories at the circuit level; the rest of the PhD will be with Professor Hausser testing those theories using advanced experimental tools for linking neural circuit function with behavior (most notably targeted optogenetics and fast 2-photon imaging). The applicant should have a strong analytical background and a keen interest in neuroscience. Experience in an experimental lab is desirable but not absolutely necessary. The applicant will be fully funded for four years. Start date is flexible (but ideally by 1 October 2014). Closing date is May 15! Applicants should apply directly to Professor Latham (pel(a)gatsby.ucl.ac.uk) Please send, in PDF or plain text format where possible, the following: - CV - statement of research interests, - transcript(s) for previous degrees, and arrange for three academic letters of recommendation, also to pel(a)gatsby.ucl.ac.uk . For further details of research interests please visit our websites: Latham: http://www.gatsby.ucl.ac.uk/~pel/ Hausser: http://www.dendrites.org/

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Second Call for Papers: LDAB@CIBB2014
by Andrea Bracciali 16 Apr '14

16 Apr '14

[We apologize if you have received multiple copies of this message] ==================================================== Second Call for Papers Large-scale and HPC data analysis in bioinformatics: Intelligent methods for computational, systems and synthetic biology. 26-28 June 2014 University of Cambridge, UK http://www.cussb.unisr.it/cibb2014/ss.html#LSAHDAIB Special Session of CIBB 2014: Eleventh International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics http://www.cussb.unisr.it/cibb2014/index.html *** Submission deadline: 5th May 2014 *** ==================================================== AIMS and SCOPE Biomedical research is currently facing the Big Data wave created by the huge amount of experiments performed every day in omics sciences. This new situation demands appropriate IT-infrastructures and scalable software to analyse data within an acceptable timespan. Massive parallel clusters, distributed technologies, on-Chip solutions such as GPGPU and Xeon Phi must be exploited with adequate algorithmic solutions to reach their full potential. The aim of this special session is to bring together researchers interested in cutting-edge methods to address the challenges posed by the huge amount of data produced in omics science. The idea is to present the latest advancements concerning High Performance Computing solutions required to treat multi-omics data and the related Big Data paradigms that are needed to manage the large-scale challenges of current computational biology. Examples of relevant areas of interest within this context include - but are not limited to - - Next-Generation Sequencing data analysis and interpretation, - Genomics patterns identification and mining, - Transcriptomics and Proteomics data integration, - Systems Biology models simulation and optimization, - Structural Biology and Molecular Dynamics, - Synthetic Biology circuits design and simulation. SUBMISSION GUIDELINES http://www.cussb.unisr.it/cibb2014/calls.html#submissions Papers should be submitted in PDF format on the Easy Chair conference system. Paper length should be at least 4 pages and should not exceed 6 pages. Papers are required to be structured according to the following five sections: • 1. Scientific background • 2. Material and methods • 3. Results • 4. Conclusion • 5. References (no more than 10) (Please refer to the latex template on the web page for more accurate instructions). Please note that only PDF versions of papers can be accepted, as the proceedings of CIBB will be produced starting from them. A correct submission requires selecting this special session in the submission system. PUBLICATION Each paper will be peer-reviewed and the resulting scores used to determine invitations for oral or poster presentations. Following the conference, an extended version of the presented contributions (12 page format) will be considered for publication in the Springer’s Lecture Notes in Bioinformatics (LNBI) series. Moreover, a selection of the best papers will be considered for pu blication in a special issue of BMC Bioinformatics dedicated to CIBB2014. IMPORTANT DATES Paper submission: 5th May 2014 Acceptance notification: 10th May 2014 Camera ready due: 30th May 2014 Conference: 26th - 28th June 2014 ORGANISERS Andrea Bracciali, University of Stirling, UK Ivan Merelli, CNR-ITB, Italy CONTACTS Andrea Bracciali, University of Stirling, UK Computing Science and Mathematics School of Natural Sciences Stirling University abb(a)cs.stir.ac.uk +44 (0)1786 467446 Ivan Merelli, CNR-ITB, Italy Institute for Biomedical Technologies Consiglio Nazionale delle Ricerche ivan.merelli(a)itb.cnr.it +39 02 26422600

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Post-doctoral position - Boston University
by Michael Hasselmo 16 Apr '14

16 Apr '14

Post-doctoral position – Boston University The Hasselmo laboratory in the Center for Memory and Brain at Boston University is looking for a post-doctoral fellow to work on a multi-disciplinary university research initiative (MURI) project in collaboration with the Leonard and Roy labs at MIT and the Milford lab at QUT. Applicants should have experience in the area of robotics with an emphasis on spatial navigation and computational neuroscience. This background should include a degree in electrical engineering, computer science, computational neuroscience or mechanical engineering. The successful candidate will extend current research on goal directed spatial behavior, including work on modeling navigation in robots guided by models of neurophysiological circuits. He/she will also implement previously developed computational models in 3D simulation environments and robotic hardware. The ideal candidate will have experience in path planning, autonomous navigation, computational modeling, neural networks, AI and/or computer vision. Excellent programming skills in MATLAB, Python and/or C++ are a must. Experience in implementing computational models on hardware platforms is a plus. Requirements: - A degree in one of the following areas: electrical engineering, computer science, computational neuroscience, mechanical engineering. - Experience in robotics, mathematical modeling, autonomous navigation, and/or neural networks. - Excellent coding skills in MATLAB, C++ and/or Python. -- Prof. Michael Hasselmo Center for Memory and Brain, Department of Psychological and Brain Sciences, Graduate Program for Neuroscience, Principal Investigator, ONR Multi-disciplinary University Research Initiative on Grid cells and Autonomous Systems, Boston University, 2 Cummington St., Boston, MA, 02215, USA Tel: (617) 353-1397, e-mail: hasselmo(a)bu.edu, http://www.bu.edu/hasselmo

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Recruitment for Post-doctoral Position: Sinapse, Singapore
by Wong Kian Foong 16 Apr '14

16 Apr '14

Postdoctoral Research in Neuroimaging Data Processing and Analysis National University of Singapore – Singapore Institute for Neurotechnology (Cognitive Engineering Group) A postdoctoral appointment is available in the Singapore Institute for Neurotechnology (SINAPSE) (http://sinapseinstitute.org/) at National University of Singapore. The post-holder will be a member Professor Anastasios Bezerianos’s group focused on Neuroimaging data processing and analysis. Professor Bezerianos’s group makes use of concurrent EEG and fMRI recording to study the mechanisms of brain under various mental states. We are looking for a research fellow who is interested in developing and employing advanced signal processing techniques for analysis of neuroimaging data and developing pattern recognition approaches to classify different brain states. The candidate has to have expertise in design and running of fMRI experiments, management of fMRI data and knwoledge of existing tools for fMRI image analaysis The ideal candidate should have a strong background in Neuroimaging data processing and (or) machine learning techniques. Previous experience on multimodal neuroimaging signal processing techniques is preferable but not necessary. Previous research experience with concurrent EEG/fMRI techniques would be an advantage. You will have the ability to manage the day-to-day running of research project including assisting junior researchers, and good communication and writing skills. You will have to and should be able to work independently as well as in a team. You will have the ability to deliver results to the required standard and schedule. The position is full-time fixed-term for minimum 1 year in the first instance with potential 2 year extension. Competitive salaries according to the NUS standards. Interested applicants will be required to send you CV and supporting documents to: Prof. Anastasios Bezerianos Singapore Institute for Neurotechnology National University of Singapore Email: tassos.bezerianos(a)nus.edu.sg

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Applications open for INCF two-day course "Introduction to neuroinformatics"
by Malin Sandström 16 Apr '14

16 Apr '14

Dear all, Application is now open for our two-day course "Introduction to Neuroinformatics" in Leiden in August. The course aim is to give researchers and advanced students an introduction to the field, with lectures given by carefully selected world experts. The content is suitable for both neuroscience and informatics backgrounds. Please help us spread the word to fellow researchers and students in your department! There is no course fee, and we have some travel support available. The application deadline is May 20th. More info: http://www.incf.org/community/events/incf-short-course-2014 Download course poster: http://www.incf.org/community/events/incf-short-course-2014/at_download/eve… In case of questions, please contact Mathew Abrams on course-admin(a)incf.org Best regards, Malin -- 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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BCF/NWG course "Analysis and Models in Neurophysiology" 2014 at the Bernstein Center Freiburg, Germany
by Birgit Ahrens 16 Apr '14

16 Apr '14

BCF/NWG-Course "Analysis and Models in Neurophysiology" /Sunday, October 5 - Friday, October 10, 2014 / /Bernstein Center Freiburg, Hansastraße 9a, 79104 Freiburg, Germany/ *Aim of the course:* The course is intended to provide advanced Diploma/Masters and PhD students, as well as young researchers from the neurosciences with approaches for the analysis of electrophysiological data and the theoretical concepts behind them. *The course includes various topics such as*: * Neuron models and spike train statistics * Point processes and correlation measures * Systems and signals * Local field potentials The course will consist of lectures in the morning and and matching exercises using Matlab and Mathematica in the afternoon. Experience with these software packages will be helpful but is not required for registration. The participants should have a basic understanding of scientific programming. This course is designated especially for advanced diploma/master-students and PhD-students (preferentially in their first year). *Application:* Please apply by sending one pdf document containing your CV and a meaningful letter of motivation to nwg-course(a)bcf.uni-freiburg.de. The letter of motivation should refer to the following points: * Reasons for wanting to take this course * Background in mathematics * Experience using Matlab/Python/Mathematika * Background in neuroscience The course is limited to 20 participants. *Course fees:* NWG members - 50EUR, others - 125EUR *Application deadline: *June 30, 2014 *More information: *http://www.bcf.uni-freiburg.de/events/conferences-workshops/20141005-nwgcourse *-- Dr. Birgit Ahrens --* Teaching & Training Coordinator Bernstein Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559

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Research Fellowship Opportunity in Cognitive Neuroscience
by Naotsugu Tsuchiya 16 Apr '14

16 Apr '14

Dear All, The School of Psychological Sciences is pleased to announce the opening of a call for a *Research Fellow in Cognitive Neuroscience*. Expressions of interest from suitably qualified applicants are sought and appointments may be made at the level of Research Fellow, Senior Research Fellow or Principal Research Fellow, depending upon experience. Salary and research support are available for 4 years. Domestic and international applicants are welcome to apply. Please see the attached document or follow the link below for further information regarding this outstanding career opportunity. http://jobs.monash.edu.au/jobDetails.asp?sJobIDs=523427&lWorkTypeID=&lLocat… Best wishes Mark Bellgrove and Kim Cornish -- Professor Mark Bellgrove Research Chair School of Psychological Sciences Faculty of Medicine, Nursing and Health Sciences Monash University, Clayton Campus Room 533, Building 17 Victoria, 3800 AUSTRALIA Tel +61 3 990 24200 Fax +61 3 99053948 Monash Provider No. 00008C www.med.monash.edu.au/psych/research -- ------------------------------------------------------------------------- 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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Deadline Extension: AAAI Workshop on Incentives and Trust in Electronic Communities (WIT-EC) 2014
by Jay Zhang 16 Apr '14

16 Apr '14

Sorry for multiple copies. The submission deadline of the AAAI WIT-EC 2014 has been extended to April 25, 2014. CALL FOR PAPER AAAI 2014 WORKSHOP ON INCENTIVE AND TRUST IN E-COMMUITIES (WIT-EC'14) http://trust.sce.ntu.edu.sg/wit-ec14/ The 3nd WIT-EC workshop will be held together with the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI'14), July 27-31, 2014, in Quebec, Canada. Trust and incentive have bidirectional relationships. As trustworthiness measures are used as part of incentive mechanisms to promote honesty in electronic communities, incentive mechanisms motivate participants to contribute their truthful opinions that are useful for trust modeling. Hence, trust and reputation systems should not only provide a means to detect and prevent malicious activities but also design a mechanism to discourage dishonesty attitudes amongst participants. The evidential success of combining these two concepts inspires and encourages researchers in the trust community to enhance the efficacy and performance of trust modeling approaches by adopting various incentive mechanisms. The main objective of this workshop is to bring together researchers and practitioners of both fields, to foster an exchange of information and ideas, and to facilitate a discussion of current and emerging topics relevant to building effective trust, reputation and incentive mechanisms for electronic communities. Topics of interest include, but are not limited to: - Social, cognitive trust, reputation - Computational trust, reputation - Incentive Mechanisms - Cross-cultural approaches - Components and dimensions of sociotechnical trust - Game theoretic approaches to trust and reputation - Game theory and trusting behaviours - Risk management and trust-based decision making - Trust management dynamics - Trust, regret, and forgiveness - Economic drivers for trustworthy systems - Trust and economic models - Trust metrics assessment and threat analysis - Context-aware trust assessments - Trust-aware recommender systems - Evolution of trust - Trust-based incentive mechanisms - Robustness of trust and reputation systems - Trust metrics assessment and threat analysis - Robustness of incentive mechanisms - Deception and fraud, and its detection and prevention - Attacks on, and defences for, trust, reputation and incentive mechanisms - Testbeds and framework of trust - User interfaces to incentive mechanisms - Real-world applications for virtual communities (e.g. e-commerce, social network, e-health, e-learning, blog, online tutoring systems) Previous Workshops: Reacting to the strong needs and trend, the first Workshop on Incentives and Trust in E-Commerce (WIT-EC'12) was organized with the 13th ACM Conference on Electronic Commerce (EC'12), on June 4-8, 2012, in Valencia, Spain, to bring together researchers in both the area of game theory for designing incentive mechanisms and the area of trust and reputation modeling, towards the design of more effective trust, reputation and incentive mechanisms for creating safe e-marketplace environments. The second Workshop on Incentive and Trust in E-commerce has been held together with the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13), on August 3-9, 2013, in Beijing, China. Following up the success of the WIT-EC'12 workshop, we invite eight accepted papers to the special issue of Computational Intelligence on Incentives and Trust in E-Commerce ( http://www.ntu.edu.sg/home/zhangj/doc/cfp-ci-si-trust.pdf ) aiming to further elicit articles in a more comprehensive and extended form that contribute to the resolving of the above mentioned challenges. Workshop Co-Chairs Stephen Marsh, University of Ontario Institute of Technology, Canada Jie Zhang, Nanyang Technological University, Singapore Christian Jensen, Technical University of Denmark, Denmark Zeinab Noorian, University of Saskatchewan, Canada Program Committee Sviatoslav Braynov, University of Illinois at Springfield, USA Chris Burnett, University of Aberdeen, UK Robin Cohen, University of Waterloo, Canada Babak Esfandiari, Carleton University, Canada Rino Falcone, Institute of Cognitive Science and Technologies, CNR, Italy Carol Fung, Virginia Commonwealth University, USA Audun Josang, University of Oslo, Norway Sama Khosravifar, University of Tehran, Iran Siyuan Liu, Nanyang Technological University, Singapore Tim Muller, Nanyang Technological University, Singapore Masakatsu Nishigaki, Shizouka University, Japan Thanasis Papaioannou, EPFL, Switzerland Sarvapali Ramchurn, University of Southampton, UK Thomas Tran, University of Ottawa, Canada Kewen Wu, University of Saskatchewan, Canada Contact Info Zeinab Noorian z.noorian(a)unb.ca Important Dates Paper Submission Deadline : April 25, 2014 Notification of Acceptance: May 1, 2014 Camera-ready Paper: May 15, 2014 Workshop Date: July 27, 2014 Submission and Proceedings Papers must be formatted according to the AAAI 2014 style guide. We solicit short and long papers as well as research demos. Long papers (6 pages) present original research work; short papers (4 pages) report on work in progress or describe demo systems. All the selected papers will be published in an AAAI technical report volume. Submissions will be reviewed for relevance, originality, significance, validity and clarity. All articles selected for publication will be reviewed by at least two reviewers with expertise in the area. As previous years, we plan to invite the best papers for a journal special issue.

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Computational Modeling of Cognition-Emotion Interactions - Quebec City - July 23, 2014
by Jean-Marc 15 Apr '14

15 Apr '14

CFP: Workshop on ***"Computational Modeling of Cognition-Emotion Interactions: Relevance to Mechanisms of Affective Disorders and Psychotherapeutic Action"*** To be held at the 36^th Annual Meeting of the Cognitive Science Society July 23, 2014 Quebec City, Quebec, Canada Recent years have witnessed an increasing interest in developing computational models of emotion and emotion-cognition interaction, within the emerging area of computational affective science.At the same time, emotion theorists and clinical psychologists have been recognizing the importance of moving beyond descriptive characterizations of affective disorders, and identifying the underlying mechanisms that mediate both psychopathology and psychotherapeutic action. Computational models of cognition-emotion interactions have the potential to facilitate more accurate assessment and diagnosis of affective disorders, and to provide a basis for more efficient and targeted approaches to treatment, through an improved understanding of the mechanisms of therapeutic action. In spite of the significant synergy that could result from a dialogue among researchers and practitioners in affective modeling, emotion research and clinical psychology, limited interaction exists among these communities. The goal of this workshop is to provide a forum for interdisciplinary dialog among the members of these research communities, and explore how computational models of emotion-cognition interaction can help elucidate the mechanisms mediating affective disorders, as well as the mechanisms of therapeutic action. Workshop Format To facilitate cross-disciplinary discussions and interaction, the workshop format will emphasize moderated panels, small working groups, and open discussion, in addition to the traditional paper sessions. To this end, we encourage submissions of proposals for discussion topics, panels and small working groups. Keynote address:Keith Oatley, University of Toronto-- "The cognitive bases of emotions, emotional disorders and psychotherapy." *Submission Guidelines* Interested participants should submit extended abstracts (1-3 pages), discussion and working group topics (1 page), or panel proposals (1-2 pages) to hudlicka(a)cs.umass.edu <mailto:Hudlicka@ieee.org> by *June 1*.Relevant topics include: ·Which processes mediating cognition-emotion interactions are sufficiently well understood to support computational modeling (e.g., affective biases on attention & perception; emotion regulation; cognitive appraisal)? ·How can models of these processes contribute to an understanding of the mechanisms of therapeutic action, across different types of psychotherapies (e.g., cognitive, psychodynamic, emotion-focused)? ·What are the relative benefits and drawbacks of the dominant theoretical perspectives on emotion with respect to computational models of emotion-cognition interaction and therapeutic action (e.g., discrete / categorical models, dimensional models (PAD), componential models)? ·What are the best representational and reasoning approaches for modeling cognitive-affective schemas and their transformation during therapy?Can we characterize the differences in these transformations across distinct therapeutic approaches (e.g., cognitive, metacognitive, emotion-focused, motivational interviewing, psychodynamic)? ·What are the most appropriate computational methods for modeling the distinct modalities of affective processes (e.g., physiological / somatic, expressive /behavioral, cognitive)? ·How can we model intermodal interactions across processes operating at different time scales? ·What types of data are necessary to develop these models, and how can these be obtained? ·For a given affective process and modality, what criteria determine the best level of model resolution (e.g., models of lower-level processes via connectionist methods vs. higher-level symbolic models)? ·How can we validate computational models of cognition-emotion interactions and therapeutic action, and what are the limits of this validation (e.g., validation of detailed symbolic models hypothesizing specific internal mental constructs, such as goals or plans, may not be possible with current technologies). Addressing these questions from a multi-disciplinary perspective will provide the context within which concrete gaps in both theoretical knowledge and methodologies can be identified, and research priorities established. Submitters will receive notification of acceptance/rejection by *June 15.* For more information see: https://people.cs.umass.edu/~hudlicka/cogsci2014-cog-em.html Post-Workshop Publication The workshop papers will be published as a separate report, and both the papers and the presentations will be made available on the workshop web site. The workshop organizers will also pursue the possibility of a special issue of a relevant journal (TBD) and/or an edited volume in the Affective Science Series published by Oxford University Press. Program Committee Eva Hudlicka, Chair, Psychometrix Associates & University of Massachusetts-Amherst Michael Arbib, University of Southern California Jorge Armony, McGill University Luc Beaudoin, Simon Fraser University Jean-Marc Fellous, University of Arizona Ian Horswill, Northwestern University Richard Lane, University of Arizona

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Poster submission deadline extended to the Fourth International Symposium on Biology of Decision-Making, 26-28 May 2014 @ Paris, France
by Mehdi Khamassi 15 Apr '14

15 Apr '14

[Please accept our apologies if you get multiple copies of this message] Dear colleagues, The deadline for poster submission is extended to April 30 for the Fourth Symposium on Biology of Decision Making which will take place in Paris, France, on May, 26-28th 2014. Poster submission and online registration can be done on the dedicated website: http://sbdm2014.isir.upmc.fr Please circulate widely and encourage your colleagues to attend. ------------------------------------------------------------------------------------------------ FOURTH SYMPOSIUM ON BIOLOGY OF DECISION MAKING (SBDM 2014) May 26-28, 2014, Paris, France Institut du Cerveau et de la Moelle, Hôpital La Pitié Salpêtrière, Paris, France. & Ecole Normale Supérieure, Paris, France. & Université Pierre et Marie Curie, Paris, France. http://sbdm2014.isir.upmc.fr ------------------------------------------------------------------------------------------------ PRESENTATION: The Fourth Symposium on Biology of Decision Making will take place on May 26-28, 2014 at the Institut du Cerveau et de la Moelle, Paris, France, with a satellite day at Ecole Normale Supérieure, Paris, France. The objective of this three day symposium is to gather people from different research fields with different approaches (economics, ethology, psychiatry, neural and computational approaches) to decision-making. The symposium will be a single-track, will last for 3 days and will include 6 sessions: (#1) Who is making decisions? Cortex or basal ganglia; (#2) New computational approaches to decision-making; (#3) A new player in decision-making: the hippocampus; (#4) Neuromodulation of decision-making; (#5) Maladaptive decisions in clinical conditions; (#6) Who is more rational? Decision making across species. CONFIRMED SPEAKERS: Elsa Addessi (ISTC-CNR, Italy) Bernard Balleine (Sydney University, Australia) Karim Benchenane (CNRS-ESPCI, France) Roland Benoit (Harvard, USA) Matthew Botvinick (Princeton University, USA) Anne Collins (Brown University, USA) Roshan Cools (Radboud Univ. Nijmegen, The Netherlands) Molly Crockett (UCL, UK) Jean Daunizeau (INSERM-ICM, France) Nathaniel Daw (NYU, USA) Kenji Doya (OIST, Japan) Philippe Faure (CNRS-UPMC, France) Lesley Fellows (McGill University, Canada) Aldo Genovesio (Universita La Sapienza, Italy) Ben Hayden (University of Rochester, USA) Tobias Kalenscher (Universität Düsseldorf, Germany) Etienne Koechlin (CNRS-ENS, France) James Marshall (Sheffield University, UK) Genela Morris (Haifa University, Israel) Camillo Padoa-Schioppa (Washington Univ. St Louis, USA) Alex Pouget (Rochester University, USA) Pete Redgrave (Sheffield University, UK) Jonathan Roiser (UCL, UK) Masamichi Sakagami (Tamagawa University, Japan) Daphna Shohamy (Columbia University, USA) Klaas Stephan (Univ. Zurich & ETH Zurich, Switzerland) IMPORTANT DATES: April 30, 2014 Deadline for Poster Submission (extended deadline) May 1, 2014 Deadline for Registration May 26-28, 2014 Symposium Venue ORGANIZING COMMITTEE: Thomas Boraud (CNRS, Bordeaux, France) Sacha Bourgeois-Gironde (La Sorbonne, Paris, France) Kenji Doya (OIST, Okinawa, Japan) Mehdi Khamassi (CNRS - UPMC, Paris, France) Etienne Koechlin (CNRS - ENS, Paris, France) Mathias Pessiglione (ICM - INSERM, Paris, France) CONTACT INFORMATION : Website, registration, poster submission and detailed program: http://sbdm2014.isir.upmc.fr Contact: sbdm2014 [ at ] isir.upmc.fr Questions about registration: sbdm2014-registration [ at ] isir.upmc.fr -- Mehdi Khamassi, PhD Researcher (CNRS) Institut des Systèmes Intelligents et de Robotique (UMR7222) CNRS - Université Pierre et Marie Curie Pyramide, Tour 55 - Boîte courrier 173 4 place Jussieu, 75252 Paris Cedex 05, France tel: + 33 1 44 27 28 85 fax: +33 1 44 27 51 45 cell: +33 6 50 76 44 92 http://people.isir.upmc.fr/khamassi

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Neuroimaging and Modelling Research Associate Posts at the University of Ulster
by Wong-Lin, Kongfatt 14 Apr '14

14 Apr '14

The School of Computing and Intelligent Systems at the University of Ulster has two available 2-year fixed term research associate posts. One of the posts will involve research in the general area of neuroimaging using magnetoencephalography (MEG), particularly in mild cognitive impairment. The other post will involve research in the general area of computational modelling of neuromodulatory effects on MEG signals. Interested applicants are welcomed to apply at: http://www.jobs.ac.uk/job/AIJ303/research-associate/ http://www.jobs.ac.uk/job/AIJ301/research-associate<http://www.jobs.ac.uk/job/AIJ301/research-associate/>/ Note that the closing date is on 28 April 2014. Successful applicants will be based primarily at the Functional Brain Mapping facility at the Intelligent Systems Research Centre (ISRC) with opportunities to interact with other related research teams at the ISRC (e.g. Brain-Computer Interface and Assistive Technologies, Computational Neuroscience, Bio-Inspired and Neuro-Engineering, and Cognitive Robotics), research groups from the (5* research rating) Biomedical Sciences Research Institute, and the recently developed Centre for Stratified Medicine. ------ Dr. KongFatt Wong-Lin Computational Neuroscience Research Team Intelligent Systems Research Centre School of Computing and Intelligent Systems University of Ulster ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of the University of Ulster. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. The University of Ulster does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for the University of Ulster in Northern Ireland is,Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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2nd call for papers: NCPW14 - 14th Neural Computation and Psychology Workshop, Lancaster UK
by Gert Westermann 14 Apr '14

14 Apr '14

2nd call for papers: NCPW14 - 14th Neural Computation and Psychology Workshop, Lancaster UK * Apologies for cross-posting * Dear colleague, We cordially invite you to participate in NCPW14, the 14th Neural Computation and Psychology Workshop, to be held at Lancaster University, UK, from August 21-23, 2014: http://www.psych.lancs.ac.uk/ncpw14 This well-established and lively workshop aims at bringing together researchers from different disciplines such as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their work on models of cognitive processes. Often this workshop has had a theme, and this time it is ‘Development across the lifespan’, but also submissions that do not fall under this theme are welcome. Papers must be about emergent models - frequently, but not necessarily - of the connectionist/neural network kind, applied to cognition. The NCPW workshops have always been characterized by their limited size, high quality papers, the absence of parallel talk sessions, and a schedule that is explicitly designed to encourage interaction among the researchers present in an informal setting. NCPW14 is no exception. The scientific program will consist of keynote lectures, oral sessions and poster sessions. Furthermore, this workshop will feature a unique set of invited speakers: James McClelland, Stanford University. Bob McMurray, University of Iowa. Michael Thomas, Birkbeck College, London. Abstract submission Please submit one-page abstracts (pdf) by email to ncpw14conf(a)gmail.com, stating whether you want to present as a talk, poster, or talk/poster. Please also indicate whether you would like to be considered for a Rumelhart Memorial Travel Award (see below). Rumelhart Memorial Travel Awards The Rumelhart Memorial Travel awards, generously funded by Professor Jay McClelland, will provide funding to support travel costs for students/post docs presenting at the conference. Awards of US$250 are available to students or post docs from Western European countries, and US$750 for students or post docs from elsewhere. Decisions will be based on the quality of the submission. Eligibility criteria: The first author of the submission is a student or Post-doctoral fellow who will attend the meeting and will present the submission if chosen to receive a travel award. Location Lancaster is situated in the north west of England, approximately one hour from Manchester and Liverpool airports. Lancaster is surrounded by spectacular scenery, hiking and climbing country. The Yorkshire Dales national park is 10 miles away. The Lake District national park is 20 miles away, http://www.nationalparks.gov.uk. The stagecoach 555 bus (http://www.stagecoachbus.com) takes you directly from Lancaster through the heart of the Lakes. The Trough of Bowland Area of Outstanding Natural Beauty is 2 miles away. Important dates to remember Abstract deadline: 15 May Notification of abstract acceptance: 7 June Early registration deadline: tbc Online registration deadline: tbc Conference dates: 21-23 August, 2014 Looking forward to your participation! Organizing Committee Gert Westermann, Lancaster University Padraic Monaghan, Lancaster University Katherine E. Twomey, Liverpool University Alastair C. Smith, MPI Nijmegen -------------------------------------------------------------------------- Prof. Gert Westermann Department of Psychology Lancaster University Lancaster LA1 4YF Phone: +44 (0)1524 592 942 Fax: +44 (0)1524 593 744 g.westermann(a)lancaster.ac.uk http://www.psych.lancs.ac.uk/people/gert-westermann -------------------------------------------------------------------------- Prof. Gert Westermann Department of Psychology Lancaster University Lancaster LA1 4YF Phone: +44 (0)1524 592 942 Fax: +44 (0)1524 593 744 g.westermann(a)lancaster.ac.uk http://www.psych.lancs.ac.uk/people/Gert-Westermann.html

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Wellcome Trust 4-year PhD programme 'Systems Neuroscience: From Networks to Behaviour' (second round)
by Marcus Kaiser 14 Apr '14

14 Apr '14

Dear all, our Wellcome Trust 4-year PhD programme in systems neuroscience, aimed at applicants from the physical sciences (physics, engineering, mathematics, or computer science), is now accepting applications for studentships starting in September 2014 (see below). Research areas include Neuroinformatics, Computational Neuroscience, Neuroimaging (fMRI, DTI, EEG, ECoG in rodents, non-human primates, and humans), Brain Connectivity, Clinical Neuroscience, Behaviour and Evolution, and Brain Dynamics (simulations and time series analysis). Strong interactions between clinical, experimental, and computational researchers are a key component of this programme. Best, Marcus *Wellcome Trust 4-year PhD programme 'Systems Neuroscience: From Networks to Behaviour'* Programme Directors: Prof. Stuart Baker, Prof. Tim Griffiths, and Dr Marcus Kaiser The Institute of Neuroscience at Newcastle University integrates more than 100 principal investigators across medicine, psychology, computer science, and engineering. Research in systems, cellular, computational, and behavioural neuroscience. Laboratory facilities include auditory and visual psychophysics; rodent, monkey, and human neuroimaging (EEG, fMRI, PET); TMS; optical recording, multi-electrode neurophysiology, confocal and fluorescence imaging, high-throughput computing and e-science, artificial sensory-motor devices, clinical testing, and the only brain bank for molecular changes in human brain development. The Wellcome Trust's Four-year PhD Programmes are a flagship scheme aimed at supporting the most promising students to undertake in-depth postgraduate research training. The first year combines taught courses with three laboratory rotations to broaden students' knowledge of the subject area. At the end of the first year, students will make an informed choice of their three-year PhD research project. This programme is based at Newcastle University and is aimed to provide specialised training for physical and computational scientists (e.g. physics, chemistry, engineering, mathematics, and computer science) wishing to apply their skills to a research neuroscience career. Eligibility/Person Specification: Applicants should have, or expect to obtain, a 1st or 2:1 degree, or equivalent, in a physical sciences, engineering, mathematics or computing degree. Value of the award: Support includes a stipend for 4 years (£20k/yr tax-free), PhD registration fees at UK/EU student rate, research expenses, general training funds and some travel costs. Applications will be accepted and considered upon receipt until the deadline of the 30 of May 2014 or until a suitable candidate has been appointed. You must apply through the University's online postgraduate application form (*http://www.ncl.ac.uk/postgraduate/funding/search/list/in065 <http://www.ncl.ac.uk/postgraduate/funding/search/list/in065>* ) inserting the reference number IN065 and selecting 'Master of Research/Doctor of Philosophy (Medical Sciences) - Neuroscience' as the programme of study. You should also send your covering letter and CV to Helen Stewart, Postgraduate Secretary, Institute of Neuroscience, Henry Wellcome Building, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, or by email to *ion-postgrad-enq(a)ncl.ac.uk <ion-postgrad-enq(a)ncl.ac.uk>* . For more information, see *http://www.ncl.ac.uk/ion/study/wellcome/ <http://www.ncl.ac.uk/ion/study/wellcome/>* -- Marcus Kaiser, Ph.D. Associate Professor (Reader) in Neuroinformatics School of Computing Science Newcastle University Claremont Tower Newcastle upon Tyne NE1 7RU, UK Lab website: http://www.biological-networks.org/ Neuroinformatics@Newcastle: http://research.ncl.ac.uk/neuroinformatics/

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Reminder: Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2014
by Kerstin Schwarzwälder 14 Apr '14

14 Apr '14

Dear colleagues, Please let me remind you that, for the fifth time, the Bernstein Association for Computational Neuroscience is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2013 or 2014. The award comprises 500 € prize money, plus a travel grant of up to 2.000 € to cover a trip to Germany, including participation in the Bernstein Conference 2014 in Göttingen (www.bernstein-conference.de) and an individually planned visit to up to two German research institutions in Computational Neuroscience. Deadline for application is April 25, 2014. Detailed information about the application procedure can be found under: www.nncn.de/en/bernstein-association/brains-for-brains-2014 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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early registration discounts for NEURON Summer Course
by Ted Carnevale 14 Apr '14

14 Apr '14

Good news for all who are interested in the NEURON Summer Course! Applicants who sign up by Friday, May 9, are now eligible for early registration discounts that range from $100 to $200 depending on which course components they request. NEURON Fundamentals June 21-24 This addresses all aspects of using NEURON to model individual neurons, and also introduces parallel simulation and the fundamentals of modeling networks. Parallel Simulation with NEURON June 25-26 This is for users who are already familiar with NEURON and need to create models that will run on parallel hardware. After Course Early May 9 ====== ===== ===== Fundamentals $1050 $1200 Parallel 650 750 Both 1600 1800 Registration is limited, and the registration deadline is Friday, May 30, 2014. For more information regarding NEURON courses see http://www.neuron.yale.edu/neuron/courses --Ted

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Conference on meditation and science
by Pedro Resende 13 Apr '14

13 Apr '14

CONFERENCE ON MEDITATION AND SCIENCE TIME AND PLACE: Monday, May 5, 2014, from 18:30 to 20:30, at Auditorium of Biblioteca Almeida Garrett, Porto, Portugal SPEAKER: Matthieu Ricard (PhD, Buddhist Monk - http://www.matthieuricard.org) PANEL DISCUSSION: - Alexandre Castro Caldas (Director of Instituto de Ciências da Saúde, Univ. Católica, Portugal) - João Relvas (Instituto de Biologia Molecular e Celular, Univ. Porto, Portugal) - João Forjaz de Lacerda (Faculdade de Medicina, Univ. Lisboa, Portugal), moderator DESCRIPTION: During the past 20 years, neuroscientists have learned that the plasticity of the human brain is greater than previously known, and that it can be modified by both internal and external factors via the exposition to new events and training processes. In this conference, Matthieu Ricard will present the benefits of meditation - mind training - for overcoming the power that obsessive thoughts and negative emotions have over our minds, a power which undermines our well being and ultimately is the deep cause of suffering. He will describe work carried out by neuroscientists at prestigious research centers in the USA, such as Madison, Princeton, and Berkeley, and in Europe, such as the Max Planck Institute in Leipzig, among others, and results showing that mind training can bring deep changes to our personalities. The talk will be followed by a panel discussion with Prof. Alexandre Castro Caldas (Univ. Católica), Dr. João Relvas (Univ. Porto), and Prof. João Forjaz de Almeida (Univ. Lisboa) as moderator. REGISTRATION (SCIENTIFIC ATTENDEES): If you would like to attend please send an email to office(a)krfportugal.org containing your name, scientific affiliation, and email address. The available space is limited, and seats will be assigned on a first come first served basis. There is no registration fee. REGISTRATION (GENERAL PUBLIC): Seats will also be available to non-scientific attendees, and tickets can be purchased from http://ticketline.sapo.pt/evento/meditacao-e-ciencia-8546. ORGANIZATION: Fundação Kangyur Rinpoche, Songtsen INFORMATION: office(a)krfportugal.org, (+351) 936 812 484 SUPPORT: Centro de Apoio ao Sem Abrigo (CASA, IPSS), Multicare, Câmara Municipal do Porto Any profits resulting from this event will be donated to CASA.

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Fully-funded PhD Studentship in Computational Neuroscience and Biophysics, Imperial College London
by Tobias Reichenbach 13 Apr '14

13 Apr '14

EEG assessment of central auditory disorder in patients with brain injury The Group for Biophysics of Hearing and Sensory Neuroscience (http://www.bg.ic.ac.uk/research/reichenbach/) at the Department of Bioengineering, Imperial College London, is looking for a highly motivated PhD student. The PhD project is embedded in the new EPSRC Centre for Doctoral Training in Neurotechnology for Life and Health at Imperial College London (http://www3.imperial.ac.uk/neurotechnology/cdt) Our auditory environment is highly complex: different speakers often talk at the same time, music plays in the background, cars drive by. Our central nervous system is highly effective in analyzing such an auditory scene; for example, we can easily understand a speaker despite background noise. A range of neurological disorders can, however, impair the cognitive processes necessary to parse an acoustic scene and hence significantly impair a person's life. Both the brain's auditory processing as well as the associated disorder remain poorly understood. The graduate project will develop methods to assess the brain’s processing of complex auditory signals such as speech and music through noninvasive electroencephalographic (EEG) recordings. The methods will be used to diagnose patients with brain injury whose auditory processing is impaired. As an example, the project will study patients with aphasic stroke that affects brain regions for communication and language. The research will help to better understand the neurological basis of such disorder and help to develop novel rehabilitation strategies. The project will involve EEG data acquisition, advanced data analysis, machine learning, computational modeling and collaboration with clinical researchers. Candidates should have a degree in mathematics, physics, engineering, or computer science, solid quantitative and computational abilities, and a strong interest in working on biomedical problems. Eligible candidates must be EU nationals. Applicants should send their CV and a cover letter together with a copy of transcripts to Tobias Reichenbach (reichenbach(a)imperial.ac.uk) Applicants should also arrange for two letters of recommendation to be sent to Tobias Reichenbach. Closing date is 02 May 2014. The Department of Bioengineering at Imperial College London is performing internationally-leading, multi-disciplinary research in biomechanics, neurobiology, neurotechnology, and further related areas. More information about the department and about Imperial College can be found online (http://www3.imperial.ac.uk/bioengineering/about and http://www3.imperial.ac.uk/aboutimperial) ------------------------------------------- Tobias Reichenbach Lecturer Department of Bioengineering Imperial College London http://www.bg.ic.ac.uk/research/reichenbach/

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Second Announcement: International workshop on Neurodynamics (NDy14)
by Roberto Barrio 11 Apr '14

11 Apr '14

We are pleased to send you the Second announcement of the --------------------------------------------------------------------- INTERNATIONAL WORKSHOP ON NEURODYNAMICS (NDy14) July 14-17, 2014 Castro-Urdiales, Spain http://cody.unizar.es/events/neurodynamics14 http://www.ciem.unican.es/international-workshop-neurodynamics *** Scientific committee *** R. Barrio (University of Zaragoza) Spain S. Coombes (University of Nottingham) UK A. Guillamon (Universitat Politecnica de Catalunya - Barcelona Tech) Spain M. Wechselberger (University of Sydney) Australia A. Shilnikov (Georgia State University) USA Neuroscience is nowadays one of the most collaborative and active scientific research fields as it has been increasingly involving the participation of experts from other disciplines. In particular, computational and mathematical aspects of neuroscience are currently playing an important role both in modeling and replicating experimental findings and in explaining the underlying mechanisms of neurophysiological or cognitive processes. Differential equations are ubiquitous in the modeling of such phenomena and, consequently, nonlinear dynamics and dynamical systems techniques become fundamental sources of new mathematical and computational tools to study neuroscience models. The aim of this Workshop on Neurodynamics (NDy'14) is to present an overview of successful achievements in this rapidly developing collaborative field by putting together different types of applications of nonlinear dynamics (geometrical tools in dynamical systems, numerical methods, computational schemes, dynamical measures,...) to different problems in neuroscience (mononeuronal dynamics, network activity, cognitive problems,...). Additional emphasis will be put on experimental findings seeking for theoretical explanations, and therefore this meeting is focussed on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behavior in the applied neurosciences. Importantly, it will draw attention to, those pieces of mathematical theory which are likely to be relevant to future studies of the brain. The final goal is spreading together mathematical methodology and neuroscience challenges and stimulating future cross-collaborations among participants, being Mathematical Neuroscience the generic topic for NDy'14. The workshop length will be 4 days, distributed in special sessions and talks, with several round tables on different topics. --------------------------------------------------------------------- *** IMPORTANT DATES *** Extended Abstract Submission Deadline Short abstract/Title submission deadline 30th April 2014 Payment deadline (reduced fee, 200 Euros) 15th May 2014 Payment deadline (complete fee, 250 Euros) 31st May 2014 The registration includes the coffee-breaks, lunches and social dinner. ---------------------------------------------------------------------

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PhD opportunities at Imperial College London in the Clopath lab
by Claudia Clopath 10 Apr '14

10 Apr '14

PhD opportunities in Computational Neuroscience. Computational Neuroscience Laboratory Headed by Dr. Claudia Clopath Department of Bioengineering Imperial College London -----------------Requirements:----------------- The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented PhD student, interested in working in the field of computational neuroscience, specifically addressing questions of learning and memory. The PhD position is fully funded, and has a flexible starting date. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), and a keen interest in biological and neural systems. Demonstrated programming skills are a plus. This position is restricted to EU citizens. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/ -----------------Research topic:----------------- Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The PhD candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in artificial neural networks. They will have the opportunity to collaborate with experimental laboratories, which study connectivity changes and behavioural learning. -----------------The lab:----------------- The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at Imperial College London, the 3rd ranked university in Europe, and is located in the city centre of London. -----------------How to apply:----------------- Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and names and contact information of two references, to clopathlab.imperial(a)gmail.com, with the subject containing 'PHD2014'. The position remains open until filled, but applications received first will be first considered.

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Postdoc opportunities at the Queensland Brain Institute
by Geoffrey Goodhill 09 Apr '14

09 Apr '14

The University of Queensland is currently offering generous postdoctoral fellowships, some targeted specifically at women, which can be held at the Queensland Brain Institute (QBI, www.qbi.uq.edu.au) a state-of-the-art facility located on The University of Queensland’s (UQ) St Lucia campus, Brisbane, Queensland, Australia. Established in 2003, the QBI's multidisciplinary environment is home to more than 300 staff and approximately 100 PhD students. Key areas of interest include computation and neuronal circuits, cognition and behaviour, neurogenesis and neuronal survival, genetics and epigenetics, neuronal development and connectivity, sensory systems, and synaptic function. QBI researchers have published almost 500 papers in the past two years, including 2 in Science, 4 in Nature, 2 in Neuron, 3 in Nature Neuroscience, 8 in Nature Genetics, 8 in Proceedings of the National Academy of Sciences of the USA, and 18 in Journal of Neuroscience. The period of appointment will be for three years and appointees are expected to commence in early 2015. The salary range is AU$71,528.60 – AU$79,708.50 (currently 1 AU$ = 0.94 US$). Each appointee will be entitled to maintenance funds of AU$20,000 over the term of the Fellowship to support research costs. Appointees relocating from interstate or overseas will be entitled to reimbursement of travel and relocation costs. For more details see http://www.uq.edu.au/research/research-management/uq-postdoctoral-research-… http://www.uq.edu.au/research/research-management/uq-postdoctoral-research-… and then contact the group leader at QBI with whom you are interested in working: http://qbi.uq.edu.au/group-leaders Note these fellowships are highly competitive and a strong publication record is an essential requirement. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Phone: +61 7 3346 6431 Fax: +61 7 3346 6301 Email: g.goodhill(a)uq.edu.au http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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Open post-doc position in Nano-Electronics Design for Embedded NVM-based Cognitive Computing
by BICHLER Olivier 09 Apr '14

09 Apr '14

Open Postdoctoral Position in Nano-Electronics Design for Embedded NVM-based Cognitive Computing Novel embedded non-volatile memories, like resistive memory, are a fantastic technology enabler for the low-power chips capable of “cognitive” computing that are necessary for the new Internet of Things. To advance this topic, we are looking for a postdoctoral researcher to join our team in the Nano-Design project of the Campus Paris-Saclay. The goal of the project is to study and design an innovative embedded resistive memory-based neuro-inspired computing architecture, with computer vision as the primary target application. The ability to demonstrate state of the art applicative performance, on a pattern detection or classification problem, with a clear implementation gain, in silicon area or power consumption, is a major challenge for this ambitious project. To this aim, your research will associate high-level computer simulation, HDL modeling and IC design. Your ability to quickly adapt to and master our team simulation frameworks will give you a leading edge in your research. Finally, the realization of a fully integrated hybrid RRAM/CMOS chip demonstrator is a strong objective of the project. You will get to work in interaction with a team of tightly coupled labs of the Campus Paris-Saclay and CEA LETI. Candidates should hold a high-quality PhD in Electrical Engineering, Computer Engineering, Applied Physics or a related field, with experience in analog and/or mixed-signal CMOS electronics, Verilog/VHDL-AMS modeling and software engineering (working knowledge of C++ is a requirement). The candidate should be able to perform schematic capture and spice simulation; knowledge of industry standard tools and flows like Cadence Virtuoso or similar tools would be greatly appreciated. Other relevant subjects (not required for the position) are resistive memory (CBRAM, OXRAM), neuromorphic engineering, deep/convolutional/spiking neural network… Starting month: during 2014 18 months contract. Salary provided along CEA standards. About our team: Our team is composed of the Institut d’Electronique Fondamentale (IEF) in Université Paris-Sud, CNRS, the Laboratory of Innovation in Surface Chemistry and Nanosciences (LICSEN) at CEA IRAMIS and the Laboratory for Enhancing Reliability of Embedded Systems (LFSE) at CEA LIST. We are also working in strong interaction with the CEA LETI in Grenoble. Contacts: Olivier Bichler (olivier.bichler(a)cea.fr<mailto:olivier.bichler@cea.fr>) Christian Gamrat (christian.gamrat(a)cea.fr<mailto:christian.gamrat@cea.fr>) Tel: (+33)1.69.08.28.31 Contexte du projet NanoDesign / NanoDesign Project Context (in french) Les processeurs actuels reposent sur un couple technologie/architecture (CMOS / Von Neumann) ayant fait la preuve de sa remarquable efficacité. Toutefois, plusieurs éléments de contexte incitent à développer des recherches exploratoires, non pour remplacer les technologies existantes mais pour les compléter / les enrichir grâce à des briques de circuits dédiés compétitifs sur certaines gammes de tâches. Parmi ces éléments de contexte, on note en particulier: (i) la problématique de la consommation d'énergie qui s'aggrave avec le scaling, (ii) l'augmentation de la variabilité des dispositifs qui s'aggrave également à l'échelle nanométrique, (iii) l'évolution des domaines d'applications des processeurs avec notamment une augmentation de la demande concernant le traitement de données naturelles (sons, images, signaux biologiques...) et le traitement de très grandes quantités de données (notamment issues de l'internet ou de capteurs massivement distribués). Ces traitements consistent essentiellement en des taches de reconnaissance et de classification, qui nécessitent une quantité très importante de mémoire (constituant la connaissance a priori du système) et pour lesquels l’architecture processeur classique Von Neumann, qui sépare fondamentalement mémoire et unités de calcul, est particulièrement inefficace. Dans ce contexte, le cerveau représente un exemple particulièrement intéressant de système capable de traiter les données naturelles avec une efficacité redoutable, notamment en termes de consommation. Ce traitement d'information est réalisé de façon massivement parallèle, asynchrone et impulsionnelle grâce à un large ensemble de neurones interconnectés via des synapses. Le nombre de synapses par neurone étant de l'ordre de 104, l'implémentation matérielle d'une telle architecture suppose notamment une densité d'intégration extrême des synapses, d'où le lien fort avec les nanotechnologies. En particulier, il a été montré récemment qu’une synapse peut être émulée efficacement par une mémoire analogique à deux terminaux (un memristor). Celle-ci a la propriété de pouvoir se programmer dynamiquement, en impulsionnel, à la manière d’une synapse biologique, ce qui ouvre la voie à l’implémentation de mécanismes d’apprentissage performants et présents dans le vivant, tels que la plasticité synaptique de type STDP (Spike timing-dependent plasticity) [Poo04]. Les équipes du CEA LIST, du CEA IRAMIS et de l’IEF, impliquées dans le projet NanoDesign support de ce post-doc ont travaillé ensemble et séparément sur différents aspects de cette problématique. En particulier, le CEA LIST, dans lequel sera affecté le post-doc, a développé des architectures de circuits adaptées à différentes technologies mémoires (PCM [Bic12a], RRAM [Sur13], mémoires organiques [Bic12b]…) pour réaliser des fonctions de traitement de données neuro-inspirées. Il s’est doté d’une plateforme de simulation, Xnet [Bic13], dédiée à l’étude de ces architectures, intégrant des modèles fonctionnels ou semi-physiques de dispositifs et des méthodes d’apprentissage [Bic12c] (supervisées et non supervisées). Celle-ci a déjà permis de réaliser un certain nombre d’études, dans le cadre de thèses, notamment sur la robustesse de ces circuits vis-à-vis de la variabilité ainsi que sur la co-intégration nano/CMOS [Que13]. Ainsi, avec ce post-doc, dans ce projet, nous proposons notamment : ● De réaliser des assemblées de dispositifs à une échelle suffisante pour la réalisation d’une fonction cognitive de haut niveau (de type détection/classification visuelle). Ceci, dans un schéma d'interconnexion adapté à cette fonction. ● De poursuivre l’étude des modes de codages de l'information impulsionnels et les règles d'apprentissage et/ou de programmation adaptées aux applications et aux dispositifs étudiés. ● De poursuivre le développement de simulations au niveau circuit afin d'évaluer a priori les architectures et d'en comparer les mérites à d'autres formes de traitements des données. ● De réaliser des prototypes de circuits mixtes intégrant des technologies RRAM et des neurones réalisés en électronique conventionnelle. ● De combiner l'ensemble des avancées du projet pour la réalisation d’une fonction cognitive intégrée, de type détection/classification, pour une application réelle de traitement de données visuelles, avec l’ambition de démontrer la viabilité de notre approche à l’échelle d’un prototype pouvant se comparer aux solutions alternatives classiques sur des métriques concrètes (coût, consommation, fiabilité…). References [Bic12a] Bichler, O.; Suri, M.; Querlioz, D.; Gamrat et al., 'Visual Pattern Extraction Using Energy-Efficient ‘2-PCM Synapse’ Neuromorphic Architecture', IEEE Trans on Elec Devices 8, 2206-2214, 2012. [Bic12b] O. Bichler, W. Zhao, F. Alibart, S. Pleutin, S. Lenfant, D. Vuillaume, C. Gamrat, ‘Pavlov's Dog Associative Learning Demonstrated on Synaptic-Like Organic Transistors’, Neural Computation 25(2):549-566, 2012. [Bic12c] O. Bichler, D. Querlioz, S.J. Thorpe, J.-P. Bourgoin, C. Gamrat, ‘Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity’, Neural Networks, 32:339-348, 2012. [Poo04] Y. Dan and M. Ming Poo. ‘Spike timing-dependent plasticity of neural circuits’. Neuron, 44(1):23–30, 2004. [Bic13] O. Bichler, D. Roclin, C. Gamrat, D. Querlioz, ‘Design Exploration Methodology for Memristor-Based Spiking Neuromorphic Architectures with the Xnet Event-Driven Simulator’, Nanoscale Architectures (NANOARCH), 2013 IEEE/ACM International Symposium on, 2013. [Que13] D. Querlioz, O. Bichler, P. Dollfus, C. Gamrat, ‘Immunity to Device Variations in a Spiking Neural Network with Memristive Nanodevices’, Nanotechnology, IEEE Transactions on, 12(3):288-295, 2013. [Sur13] M. Suri, D. Querlioz, O. Bichler, G. Palma, E. Vianello, D. Vuillaume, C. Gamrat, B. DeSalvo, ‘Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses’, Electron Devices, IEEE Transactions on, 60(7):2402-2409, 2013. -- Olivier Bichler CEA, LIST, Laboratory for Enhancing Reliability of Embedded Systems F-91191 Gif-sur-Yvette Cedex, France Ph: (+33)1.69.08.28.31 Fax: (+33)1.69.08.83.95

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New Job Posting for Comp-neuro (F9804z)
by Neil Paz-Cruzat 09 Apr '14

09 Apr '14

*George Mason University Postdoctoral Research Fellow, Molecular Neuroscience/Computational Neuroscience* The George Mason University, Krasnow Institute seeks a Postdoctoral Research Fellow to develop and use multiscale spatiotemporal models of cardiac mitochondria to understand how mitochondrial structure and function are related. *Qualifications:* The ideal candidate is expected to have expertise in biological modeling, computer programming, and related numerical methods. Programming on parallel architectures is also desirable, as is knowledge of mitochondrial modeling. This project involves close collaboration with experimental collaborators. The duration of the position is subject to available research funding. For full consideration, applicants must apply for position number F9804z at http://jobs.gmu.edu/; complete and submit the online application; and upload a CV, a list of three references with contact information, and a description of research accomplishments.*These three required documents will need to be uploaded to the Other Doc category as a single (multipaged) document.*Questions may be addressed to*sjafri(a)gmu.edu*. AA/EOE

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Postdoctoral positions in neuroimaging and rapid decision making
by Paul Sajda 08 Apr '14

08 Apr '14

The Laboratory for Intelligent Imaging and Neural Computing (LIINC) at Columbia University has immediate openings for several Postdoctoral Research Scientists. Specifically these positions will contribute to our research program focusing on understanding the neural basis for rapid decision making in the human brain and using this understanding to build brain computer interfaces (BCI) for next-generation human-machine interaction. Our approach leverages multi-modal neuroimaging, including a custom designed simultaneous EEG/fMRI system, to identify spatio-temporal cortical and subcortical networks underlying rapid decision making. Our analysis methods are deeply rooted in machine learning techniques, with a focus on using such techniques to enable single-trial analysis for correlating with decision variables. Applicants should have a background in one, and preferably several, of the following area: machine learning, neural signal processing, neuroimaging (EEG and/or fMRI), decision making, cognitive neuroscience and/or BCI. A Ph.D. in Engineering, Computer Science or Neuroscience is preferred. LIINC (liinc.bme.columbia.edu) is in the Department of Biomedical Engineering at Columbia University and interacts closely with other departments at Columbia, including Electrical Engineering, Biological Sciences, Computer Science and Neuroscience. We are also a member lab of the newly formed Center for Neural Engineering and Computation (CNEC) at Columbia University (cnec.columbia.edu) as well as the Institute for Data Sciences and Engineering (idse.columbia.edu) Additionally, we are a member of the Cognition and Neuroergonomics Collaborative Technology Alliance (CaN CTA) which a collaborative research effort between the Army Research Labs, Academia and Industry. Postdoctoral Research Scientists will thus have the opportunity to broadly collaborate will other scientists in academia, industry and government, being part of one of the largest collaborative programs in real-world neuroimaging and brain computer interfaces. Interested candidates should send via email their CV, three representative papers, the names of three references, and cover letter to Prof. Paul Sajda (psajda(a)columbia.edu) Applications will be considered until the positions are filled. The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. Paul Sajda, Ph.D. Professor Departments of Biomedical Engineering, Electrical Engineering and Radiology Columbia University 351 Engineering Terrace Building, Mail Code 8904 1210 Amsterdam Avenue New York, NY 10027 tel: (212) 854-5279 fax: (212) 854-8725 email: ps629(a)columbia.edu http://liinc.bme.columbia.edu Editor-in-Chief IEEE Transactions on Neural Systems and Rehabilitation Engineering email: editortnsre(a)gmail.com http://tnsre.bme.columbia.edu

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Bernstein Conference 2014 - Registration is now open
by Kerstin Mosch 07 Apr '14

07 Apr '14

*BERNSTEIN CONFERENCE 2014 in Göttingen* Registration is open now! Please register here <http://www.nncn.de/en/bernstein-conference/2014/registration>. Early registration deadline: July 7, 2014 **************************************************************************** Satellite Workshops <http://www.nncn.de/en/bernstein-conference/2014/workshops> September 02-03, 2014 Main Conference <http://www.nncn.de/en/bernstein-conference/2014/program-1> September 03-05, 2014 **************************************************************************** The Bernstein Conference has become the largest annual Computational Neuroscience Conference in Europe and now regularly attracts more than 500 international participants. This year, the Conference is organized by the Bernstein Focus Neurotechnology Goettingen and will take place September 03-05, 2014. In addition, there will be a series of pre-conference satellite workshops on September 02-03, 2014. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology, and sessions for poster presentations are an integral part of the conference. The Bernstein conference will also feature a series of satellite workshops on September 02-03, 2014. The goal is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: http://www.bernstein-conference.de CONFERENCE DATE AND VENUE: Satellite Workshops September 02-03, 2014 Main Conference September 03-05, 2014 Venue: Central Lecture Hall (ZHG), Platz der Goettinger Sieben 5, 37073 Göttingen, Germany PUBLIC PHD STUDENT EVENT: September 02, 2014 PROGRAM COMMITTEE: Ilka Diester, Daniel Durstewitz, Thomas Euler, Alexander Gail, Matthias Kaschube, Jason Kerr, Roland Schaette, Fred Wolf, Florentin Wörgötter, ORGANIZING COMMITTEE: Florentin Wörgötter, Kerstin Mosch, Yvonne Reimann We look forward to seeing you in Goettingen in September! -- Dr. Kerstin Mosch Bernstein Center for Computational Neuroscience (BCCN) Goettingen Bernstein Focus Neurotechnology (BFNT) Goettingen Max Planck Institute for Dynamics and Self-Organization Am Fassberg 17 D-37077 Goettingen Germany T: +49 (0) 551 5176 - 425 E: kerstin(a)nld.ds.mpg.de I: www.bccn-goettingen.de I: www.bfnt-goettingen.de

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School J. A. Balseiro 2014: Modeling in Neuroscience
by German Mato 07 Apr '14

07 Apr '14

****************************************************************************************** We're pleased to announce the "School J. A. Balseiro 2014: Modeling in Neuroscience" which will take place in Bariloche, Argentina from the 6th to the 31st of October. Additional information in: http://fisica.cab.cnea.gov.ar/escuelaib2014-neurociencias ******************************************************************************************

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ANNPR 2014: Call for papers
by Dr. Schwenker 06 Apr '14

06 Apr '14

Please note the extended deadlines. Sixth IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition October 6-8, 2014 Concordia University, Montreal, Canada ANNPR 2014 invites papers that present original work in areas of neural networks, machine learning and pattern recognition, focusing on both theoretical and applied aspects. Topics of interest include, but not limited to: Methodological Issues - Supervised learning - Unsupervised learning - Combination of supervised and unsupervised learning - Feed-forward, recurrent, and competitive neural nets - Kernel machines - Hierarchical modular architectures and hybrid systems - Combination of neural networks and Hidden Markov models - Multiple classifier systems and ensemble methods - Probabilistic graphical models - Kernel methods - Deep architectures Applications in Pattern Recognition - Image processing and segmentation - Handwritten recognition and Document analysis - Sensor-fusion and multi-modal processing - Feature extraction, dimension reduction - Clustering and vector quantization - Speech and speaker recognition - Data, text, and web mining - Bioinformatics/Cheminformatics Note: A PDF of the Call for Papers may be downloaded at: http://users.encs.concordia.ca/~annpr14/ANNPR2014-CFP.pdf Invited Speakers ANNPR 2014 is proud to announce the following invited speakers: Dr. Yoshua Bengio, Canada Full Professor of the Department of Computer Science and Operations Research, University of Montreal Research Areas: Machine learning (ML), neural computation and adaptive perception, statistical learning algorithms Dr. Zhi-Hua Zhou, China Professor in the Department of Computer Science & Technology, Nanjing University, China Research Areas: Machine learning, data mining, pattern recognition, multimedia information retrieval Dr. Michael Herrmann, U.K. Lecturer at The University of Edinburgh School of Informatics Research Areas: Neurocomputation, neural nets, learning theory in autonomous agents & behavioral neuroscience, ML, dynamics of neural systems More information can be found on our homepage (see below) Special Sessions Fellow scientists wishing to organize a special session should submit a proposal to the ANNPR chairs (annpr2014(a)encs.concordia.ca) Proposals should include the session title, a list of topics covered by the session and a list of 3-6 papers for possible presentation in the session. Proposals must be received by March 15th, 2014. Important Dates Proposals of special sessions: March 15th, 2014 Paper submission: April 28th, 2014 Notification of acceptance: June 30th, 2014 Camera ready due: July 18, 2014 Workshop: October 6-8, 2014 General Chairs Ching Suen, Concordia University Canada Friedhelm Schwenker, Ulm University, Germany Neamat El Gayar, Cairo University, Egypt/Canada For more information, please visit or contact us: Homepage: http://www.annpr2014.com/ PDF CFP: http://users.encs.concordia.ca/~annpr14/ANNPR2014-CFP.pdf email: annpr2014(a)encs.concordia.ca -- Sixth IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition ANNPR 2014 October 6-8, 2014 Concordia University, Montreal, Canada Web: http://www.annpr2014.com/ eMail: annpr14(a)encs.concordia.ca

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Last Mile, April 18 || DATA ANALYTICS 2014 || August 24 - 28, 2014 - Rome, Italy
by Cristina Pascual 04 Apr '14

04 Apr '14

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to DATA ANALYTICS 2014. The submission deadline is April 18, 2014. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== DATA ANALYTICS 2014 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS DATA ANALYTICS 2014, The Third International Conference on Data Analytics August 24 - 28, 2014 - Rome, Italy General page: http://www.iaria.org/conferences2014/DATAANALYTICS14.html Call for Papers: http://www.iaria.org/conferences2014/CfPDATAANALYTICS14.html Submission page: http://www.iaria.org/conferences2014/SubmitDATAANALYTICS14.html Contributions: - regular papers - short papers (work in progress) - posters - ideas - presentations - demos - doctoral forum submissions Proposals for: - symposia - workshops Submission deadline: April 18, 2014 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and conform with the Editorial rules: http://www.iaria.org/editorialrules.html DATA ANALYTICS 2014 Topics (topics and submission details: see CfP on the site) Fundamentals for data analytics Tools, frameworks and mechanisms for data analytics; Open API for data analytics; In-database analytics; Pre-built analytics (pattern, time-series, clustering, graph, statistical analysis, etc.); Analytics visualization; Multi-modal support for data analytics; Google/FaceBook/Twitter/etc. analytics; High-performance data analytics Mechanisms and features Scalable data analytics; Big data analytics; Deep data analytics; Mass data analytics; Storing, dropping and filtering data; Relevant/redundant/obsolete data analytics; Volume vs. semantics analytics; Nomad analytics; Predictive analytics; Trust in data analytics; Legal issues analytics; Failure on data analytics Sentiment/opinion analysis Architectures for generic sentiment analysis systems; Sentiment analysis techniques on social media; Document-level analysis; Sentence-level analysis; Aspect-based analysis; Comparative-sentiment analysis; Sentiment lexicon acquisition; Optimizing sentiment analysis algorithms; Applications of sentiment analysis. Application-oriented analytics Statistical applications; Simulation applications; Crawling web services; Cross-database analytics; Forecast analytics; Financial risk management; ROI analytics Target analytics Business analytics; Malware analytics; Cyber-threats analytics; Mining user logs; Reputation analytics; User choice analytics; Branding analytics; Utility proximity-search analytics; Survey-based online asset analytics; Online employment analytics; Geology analytics; Global climate analytics; Remote learning analytics; Homecare analytics; Population growth and migration analytics; Food-borne illness outbreaks analytics Big Data Foundational models for Big Data; Big Data Analytics and Metrics; Big Data processing and management; Big Data search and mining; Big Data platforms; Big Data persistence and preservation; Big Data and social networks; Big Data economics Huge data Knowledge Discovery from Huge Data; Computational Intelligence for Huge Data; Linked Huge Data; Security Intelligence with Huge Data -------------------- Committee: http://www.iaria.org/conferences2014/ComDATAANALYTICS14.html DATA ANALYTICS Advisory Chairs Fritz Laux, Reutlingen University, Germany Lina Yao, The University of Adelaide, Australia Eiko Yoneki, University of Cambridge, UK Takuya Yoshihiro, Wakayama University, Japan Felix Heine, University of Applied Sciences & Arts Hannover, Germany Dominik Slezak, University of Warsaw & Infobright Inc., Poland Panos M. Pardalos, University of Florida, USA Michele Melchiori, Universit� degli Studi di Brescia, Italy Rudolf Berrendorf, Bonn-Rhein-Sieg University, Germany Kerstin Lemke-Rust, Hochschule Bonn-Rhein-Sieg, Germany Sergio Ilarri, University of Zaragoza, Spain Les Sztandera, Philadelphia University, USA Prabhat Mahanti, University of New Brunswick, Canada Dominique Laurent, University of Cergy Pontoise, France Ryan G. Benton, University of Louisiana at Lafayette, USA Erik Buchmann, Karlsruhe Institute of Technology, Germany Stratos Idreos, Harvard University, USA Andrew Rau-Chaplin, Dalhousie University, Canada Takuya Yoshihiro, Wakayama University, Japan DATA ANALYTICS Industry/Research Liaison Chairs Qiming Chen, HP Labs - Palo Alto, USA Alain Crolotte, Teradata Corporation - El Segundo, USA Tiziana Guzzo, National Research Council/Institute of Research on Population and Social Policies - Rome, Italy Shlomo Geva, Queensland University of Technology - Brisbane, Australia Farhana Kabir, Intel, USA Prabhanjan Kambadur, IBM TJ Watson Research Center, USA Serge Mankovski, CA Technologies, Spain Sumit Negi, IBM Research, India Vedran Sabol, Know-Center - Graz, Austria George Tambouratzis, Institute for Language and Speech Processing - Athena Research Centre, Greece Yanchang Zhao, RDataMining.com, Australia Masahiro Terabe, Mitsubishi Research Institute, Inc., Japan Marina Santini, Santa Anna IT Research Institute AB, Sweden Mario Zechner, Know-Center, Austria DATA ANALYTICS Publicity Chairs Johannes Leveling, Dublin City University, Ireland Tim Weninger, University of Illinois in Urbana-Champaign, USA Roberto Zicari, Johann Wolfgang Goethe - University of Frankfurt, Germany Shandian Zhe, Purdue University, USA Michael Schaidnagel, Reutlingen University, Germany ================================================

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Open position in Theoretical Neuroscience
by David Rotermund 04 Apr '14

04 Apr '14

The Computational Neuroscience group of Klaus Pawelzik ( http://www.neuro.uni-bremen.de ) invites applications for an open Ph.D. student position in the project 'I-See The artificial eye: Chronic wireless interface to the visual cortex' (http://www.isee.uni-bremen.de for details about the project) In this project we investigate the possibilities and foundations of injecting visual information into the visual cortex via electrical stimulation for neuro - prosthetic purposes. We are looking for a PhD student with a background in physics and/or computational neuroscience. She/he will work in close cooperation with experimentalists in the group of Andreas Kreiter (www.brain.uni-bremen.de) The student will analyse electro-physiological data with the goal to identify the underlying network structure/model which generates a specific neural response and visual percept to a particular electrical stimulation. She/he will then invert this model in order to determine the spatio-temporal stimulation pattern required for creating a desired visual percept. Basic knowledge in programming and in formal methods/Computational Neuroscience are required. Interested candidates should send their application in German or English language, a letter of motivation, CV, copies of school and university certificates (master/diploma or equivalent) until the 17th of April to: Agnes Janßen Cognium Hochschulring 18 Universität Bremen D-28359 Bremen Germany The documents can be sent in via eMail ( ajanssen(a)neuro.uni-bremen.de ) or in paper form. Severely disabled applicants and women with essentially identical technical and personal suitability will be preferentially selected.

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IWSYP'14: I International Workshop on Synaptic Plasticity, Brazil (call for abstracts)
by Thiago Matos Pinto 04 Apr '14

04 Apr '14

*I International Workshop on Synaptic Plasticity - IWSYP'14* * September 8-9, 2014* *Ribeirão Preto, São Paulo, Brazil* http://iwsyp14.thiagomatospinto.com University of São Paulo The I International Workshop on Synaptic Plasticity - IWSYP'14 will bring together *experimentalists and theoreticians* who have contributed significantly to understanding the biological mechanisms underlying *synaptic plasticity*. The aim of this workshop is to facilitate discussions and interactions in the effort towards increasing our understanding on synaptic plasticity in the brain. The IWSYP'14 will take place in the campus of *Ribeirão Preto* at the University of São Paulo in *Brazil* on September 8 and 9, 2014. You are welcome to join this workshop that focuses on the discussion of fresh ideas, the presentation of work in progress, and the establishment of a scientific network between young researchers. The workshop will be held in English. Participation is *free of charge*! This workshop is a satellite event of the XXXVIII Annual Meeting of the Brazilian Society for Neuroscience and Behavior (SBNeC), which will be held on September 10-13 in Búzios, Rio de Janeiro. The SBNeC meeting will also feature big names in Neuroscience, and will be a preparatory event for the 9th World Congress of the International Brain Research Organization (IBRO), which will take place in Rio de Janeiro in 2015. Organizers: *Thiago Matos Pinto *(University of São Paulo, Ribeirão Preto, Brazil) *Antonio Roque *(University of São Paulo, Ribeirão Preto, Brazil) Speakers: *Chris De Zeeuw* (Erasmus Medical Center, Rotterdam, The Netherlands & Netherlands Institute for Neuroscience, Amsterdam, The Netherlands) *Freek Hoebeek* (Erasmus Medical Center, Rotterdam, The Netherlands) *Reinoud Maex* (École Normale Supérieure, Paris, France) *Ricardo Leão *(University of São Paulo, Ribeirão Preto, Brazil) *Thiago Matos Pinto *(University of São Paulo, Ribeirão Preto, Brazil) Abstracts: *Submission of abstracts for poster and oral presentations are due by May 16, 2014*. We welcome both experimental and theoretical contributions addressing novel findings on topics related to synaptic plasticity. Please see http://iwsyp14.thiagomatospinto.com/abstracts for details. Important dates: *Abstract submission deadline: May 16, 2014* Notification of acceptance: June 13, 2014 Notification of oral/poster selection: June 30, 2014 Workshop dates: September 8-9, 2014 Please visit the IWSYP'14 website for program and further details: http://iwsyp14.thiagomatospinto.com We look forward to seeing you in Ribeirão Preto. With best wishes, Thiago Matos Pinto, IWSYP'14 Organizer

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1 PostDoc + 2 PhD positions in Computational Cognitive NeuroImaging
by Uta Noppeney 04 Apr '14

04 Apr '14

*2 PhD and 1 PostDoc positions in Computational Cognitive Neuroimaging; University of Birmingham, UK* In our natural dynamic environment the senses are constantly bombarded with many different signals. How does the human brain integrate information from multiple senses during perception? To study the neural mechanisms of multisensory integration and learning, we combine psychophysics, functional imaging (fMRI, EEG/MEG & interleaved TMS-fMRI) and models of Bayesian Inference and learning. The Computational Cognitive Neuroimaging Group (Prof Uta Noppeney) is seeking 1 enthusiastic PostDoc and 2 PhD candidates. Applicants should have astrong quantitative background and a degree in neuroscience, psychology, computer science, physics, medicine or related areas. Prior experience in functional imaging, MatLab, data analysis and/or machine learning would be an advantage. The lab is part of the Computational Neuroscience and Cognitive Robotics Centre and the Department of Psychology of the University of Birmingham, UK. The centre provides an excellent multidisciplinary and collaborative research environment combining expertise in cognitive neuroimaging, psychophysics and computational neuroscience. The psychology department was rated 3rd in the UK research assessment exercise. Applications will be considered until the positions are filled. Starting dates are flexible. For further information, please contact u.noppeney(a)bham.ac.uk <mailto:u.noppeney@bham.ac.uk> and see http://www.birmingham.ac.uk/research/activity/cncr/index.aspx <http://www.birmingham.ac.uk/schools/psychology/index.aspx> http://www.birmingham.ac.uk/schools/psychology/index.aspx <http://www.birmingham.ac.uk/schools/psychology/people/profile.aspx?Referenc…> http://www.birmingham.ac.uk/schools/psychology/people/profile.aspx?Referenc… <mailto:u.noppeney@bham.ac.uk> For application to the PostDoc positions, please send applications to http://www.jobs.ac.uk/job/AIM528/research-fellow/ For application to the PhD positions, please send application including CV, statement of research interests, and the names and full contact details of two referees to:u.noppeney@bham.ac.uk <mailto:u.noppeney@bham.ac.uk> <http://www.jobs.ac.uk/job/AIM528/research-fellow/>

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Last Mile, April 18 || ADVCOMP 2014 || August 24 - 28, 2014 - Rome, Italy
by Cristina Pascual 03 Apr '14

03 Apr '14

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to ADVCOMP 2014. The submission deadline is April 18, 2014. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== ADVCOMP 2014 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS ADVCOMP 2014, The Eighth International Conference on Advanced Engineering Computing and Applications in Sciences August 24 - 28, 2014 - Rome, Italy Submission page: http://www.iaria.org/conferences2014/SubmitADVCOMP14.html General page: http://www.iaria.org/conferences2014/ADVCOMP14.html Call for Papers: http://www.iaria.org/conferences2014/CfPADVCOMP14.html Contributions: - regular papers - short papers (work in progress) - posters - ideas - presentations - demos - doctoral forum submissions Proposals for: - symposia - workshops Submission deadline: April 18, 2014 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and conform with the Editorial rules: http://www.iaria.org/editorialrules.html ADVCOMP 2014 Topics (topics and submission details: see CfP on the site) Advances on computing theories Finite-state machines; Petri nets /stochastic/colored/probabilistic/etc; Genetic algorithms; Machine learning theory; Prediction theory; Bayesian theory /statistics/filtering/estimation/reasoning/rating/etc; Markov chains/process/model/etc; Graphs theories Advances in computation methods Hybrid computational methods; Advanced numerical algorithms; Differential calculus; Matrix perturbation theory; Rare matrices; Fractals & super-fractal algorithms; Random graph dynamics; Multi-dimensional harmonic estimation Computational logics Knowledge-based systems and automated reasoning; Logical issues in knowledge representation /non-monotonic reasoning/belief; Specification and verification of programs and systems; Applications of logic in hardware and VLSI; Natural language, concurrent computation, planning; Deduction and reasoning; Logic of computation; Dempster-Shafer theory; Fuzzy theory/computation/logic/etc Advances on computing mechanisms Clustering large and high dimensional data; Data fusion and aggregation; Biological sequence analysis; Biomecatronics mechanisms; Biologically inspired mechanisms; System theory and control mechanisms; Multi-objective evolutionary algorithms; Constraint-based algorithms; Ontology-based reasoning; Topology and structure patterns; Geometrical pattern similarity; Strong and weak symmetry; Distortion in coordination mechanisms Computing techniques Distributed computing; Parallel computing; Grid computing; Autonomic computing; Cloud computing; Development of numerical and scientific software-based systems; Pattern-based computing; Finite-element method computation; Elastic models; Optimization techniques; Simulation techniques; Stream-based computing Resource intensive applications and services (RIAS) Fundamentals on RIAS; Basic algorithms for RIAS; Communications intensive; Process intensive; Data-intensive computing; Operational intensive; Cloud-computing intensiveness; User intensive; Technology intensive; Control intensive; Complex RIAS; Bioinformatics computation; Large scale ehealth systems; Pharmaceutical/drug computation; Weather forecast computation; Earthquake simulations; Geo-spatial simulations; Spatial programs; Real-time manufacturing systems; Transportation systems; Avionic systems; Economic/financial systems; Electric-power systems Computational geometry Theoretical computational geometry; Applied computational geometry; Design and analysis of geometric algorithms; Design and analysis of geometric algorithms and data structures; Discrete and combinatorial geometry and topology; Data structures (Voronoi Diagrams, Delaunay triangulations, etc.); Experimental evaluation of geometric algorithms and heuristics; Numerical performance of geometric algorithms; Geometric computations in parallel and distributed environments; Geometric data structures for mesh generation; Geometric methods in computer graphics; Solid modeling; Space Partitioning; Special applications (animation of geometric algorithms, manufacturing, computer graphics and image processing, computer-aided geometry design, solid geometry) Interdisciplinary computing Computational /physics, chemistry, biology/ algorithms; Graph-based modeling and algorithms; Computational methods for /crystal, protein/ structure prediction; Computation for multi-material structure; Modeling and simulation of large deformations and strong shock waves; Computation in solid mechanics; Remote geo-sensing; Interdisciplinary computing in music and arts Cloud computing Hardware-as-a-service; Software-as-a-service [SaaS applicaitions]; Platform-as-service; On-demand computing models; Cloud Computing programming and application development; Scalability, discovery of services and data in Cloud computing infrastructures; Privacy, security, ownership and reliability issues; Performance and QoS; Dynamic resource provisioning; Power-efficiency and Cloud computing; Load balancing; Application streaming; Cloud SLAs, business models and pricing policies; Custom platforms; Large-scale compute infrastructures; Managing applications in the clouds; Data centers; Process in the clouds; Content and service distribution in Cloud computing infrastructures; Multiple applications can run on one computer (virtualization a la VMWare); Grid computing (multiple computers can be used to run one application); Cloud-computing vendor governance and regulatory compliance Grid Networks, Services and Applications GRID theory, frameworks, methodologies, architecture, ontology; GRID infrastructure and technologies; GRID middleware; GRID protocols and networking; GRID computing, utility computing, autonomic computing, metacomputing; Programmable GRID; Data GRID; Context ontology and management in GRIDs; Distributed decisions in GRID networks; GRID services and applications; Virtualization, modeling, and metadata in GRID; Resource management, scheduling, and scalability in GRID; GRID monitoring, control, and management; Traffic and load balancing in GRID; User profiles and priorities in GRID; Performance and security in GRID systems; Fault tolerance, resilience, survivability, robustness in GRID; QoS/SLA in GRID networks; GRID fora, standards, development, evolution; GRID case studies, validation testbeds, prototypes, and lessons learned Computing in Virtualization-based environments Principles of virtualization; Virtualization platforms; Thick and thin clients; Data centers and nano-centers; Open virtualization format; Orchestration of virtualization across data centers; Dynamic federation of compute capacity; Dynamic geo-balancing; Instant workload migration; Virtualization-aware storage; Virtualization-aware networking; Virtualization embedded-software-based smart mobile phones; Trusted platforms and embedded supervisors for security; Virtualization management operations /discovery, configuration, provisioning, performance, etc.; Energy optimization and saving for green datacenters; Virtualization supporting cloud computing; Applications as pre-packaged virtual machines; Licencing and support policies Development of computing support Computing platforms; Advanced scientific computing; Support for scientific problem-solving; Support for distributed decisions; Agent-assisted workflow support; Middleware computation support; High performance computing; Problem solving environments; Computational science and education; Neuronal networks Computing applications in science Advanced computing in civil engineering; Advanced computing in physics science; Advanced computing in chemistry science; Advanced computing in mathematics; Advanced computing in operation research; Advanced computing in economics; Advanced computing in electronics and electrical science; Advanced computing on Earth science, geosciences and meteorology Complex computing in application domains Computation genomic; Management of scientific data and knowledge; Advanced computing in bioinformatics and biophysics; Advanced computing in molecular systems and biological systems; Application of engineering methods to genetics; Medical computation and graphics; Advanced computing in simulation systems; Advanced computing for statistics and optimization; Advanced computing in mechanics and quantum mechanics; Advanced computing for geosciences and meteorology; Maps and geo-images building; Curve and surface reconstruction; Financial computing and forecasting; Advanced computing in robotics and manufacturing; Advanced computing in power systems; Environmental advanced computing --------------------------------- Committee: http://www.iaria.org/conferences2014/ComADVCOMP14.html ADVCOMP Advisory Chairs Chih-Cheng Hung, Southern Polytechnic State University, USA Juha R�ning, Oulu University, Finland Sigeru Omatu, Osaka Institute of Technology, Japan Erich Schweighofer, University of Vienna, Austria Paul Humphreys, University of Ulster, UK Danny Krizanc, Wesleyan University, USA Ivan Rodero, Rutgers University - Piscataway, USA Ali Shawkat, CQ University of Australia - North Rockhampton, Australia George Spanoudakis, City University London, UK Vladimir Vlassov, KTH Royal Institute of Technology, Sweden Jerry Trahan, Louisiana State University, USA Dean Vucinic, Vrije Universiteit Brussel (VUB), Belgium Rudolf Berrendorf, Bonn-Rhein-Sieg University, Germany Wenbing Zhao, Cleveland State University, USA Camelia Mu�oz-Caro, Universidad de Castilla-La Mancha, Spain Laurent R�veill�re, Bordeaux Institute of Technology, France Ewa Grabska, Jagiellonian University - Krakow, Poland ADVCOMP Industry/Research Chairs Jorge Ejarque Artigas, Barcelona Supercomputing Center (BSC-CNS), Spain Helmut Reiser, Leibniz Supercomputing Centre (LRZ)-Garching, Germany H. Metin Aktulga, Lawrence Berkeley National Lab, USA Sameh Elnikety, Microsoft Research, USA Umar Farooq, Amazon.com - Seattle, USA Dmitry Fedosov, Forschungszentrum Juelich GmbH, Germany Alice Koniges, Lawrence Berkeley Laboratory/NERSC, USA Markus Kunde, German Aerospace Center & Helmholtz Association - Cologne, Germany Peter M�ller, IBM Zurich Research Laboratory- R�schlikon, Switzerland Simon Tsang, Applied Communication Sciences - Piscataway, USA Anna Schwanengel, Siemens AG, Germany Christoph Fuenfzig, Fraunhofer ITWM, Germany ADVCOMP Publicity Chairs Marie Lluberes, University of Puerto Rico at Mayag�ez, USA Sascha Opletal, University of Stuttgart, Germany �lvaro Navas, Universidad Politecnica de Madrid, Spain Iwona Ryszka, Jagiellonian University - Krakow, Poland ================================================

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Research Fellow position University of Leeds/HBP
by Marc de Kamps 03 Apr '14

03 Apr '14

A postdoctoral Research Fellow position is available for immediate start at the University of Leeds, UK. The position is funded as part of the Human Brain Project. This project focuses on modelling of neural populations using population density techniques. Population density methods are a powerful statistical methods that capture and evolve dynamics at the population level directly, rather than through a large number of neuron point model instances. More details about this research can be found in recent publications (see below). In this project, you will investigate the theoretical foundations of population density techniques, and apply them in the creation of efficient numerical algorithms. The resulting software should be usable by non-experts in large-scale network models. We are looking for outstanding candidates with a PhD in Physics, Mathematics, Engineering, Computer Science or related disciplines. They are expected to have good mathematical analytic skills, as well as substantial experience in scientific computation in languages such as C/C++ or Fortran. A background in computational neuroscience is highly desirable. An interest in other activities in the Human Brain project is expected, and the application of the techniques in large-scale network models is actively encouraged. You will be expected to interact with other researchers at the European Institute of Theoretical Neuroscience in Paris through regular visits. You will be based in the School of Computing at the University of Leeds. The School has as research themes 'Applied Computing in Biology, Medicine and Health' as well as 'Computational Science and Engineering'. Informal enquiries about this position can be made directly to Marc de Kamps (m.dekamps(a)leeds.ac.uk) The complete advert and application instructions can be found at: http://tinyurl.com/oxzfqho The closing date for applications is 30 April 2014. Relevant publications: http://dx.doi.org/10.1162/089976603322297322 http://arxiv.org/abs/1309.1654) http://dx.doi.org/10.1016/j.neunet.2008.07.006 Dr Marc de Kamps Institute of Aritificial Intelligence and Biological Systems School of Computing University of Leeds Leeds LS2 9JT, UK

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Article on data sharing/analysis of multielectrode array
by Stephen Eglen 03 Apr '14

03 Apr '14

I'd like to highlight the following article from our group that I hope will be of use to the community. Code and data are available via the project site: http://www.damtp.cam.ac.uk/user/sje30/waverepo Best wishes, Stephen ---------------------------------------------------------------------- Eglen SJ, Weeks M, Jessop M, Simonotto J, Jackson T, Sernagor E (2014) A data repository and analysis framework for spontaneous neural activity recordings in developing retina. Gigascience 3:3. Paper: http://dx.doi.org/10.1186/2047-217X-3-3 Background During early development, neural circuits fire spontaneously, generating activity episodes with complex spatiotemporal patterns. Recordings of spontaneous activity have been made in many parts of the nervous system over the last 25 years, reporting developmental changes in activity patterns and the effects of various genetic perturbations. Results We present a curated repository of multielectrode array recordings of spontaneous activity in developing mouse and ferret retina. The data have been annotated with minimal metadata and converted into HDF5. This paper describes the structure of the data, along with examples of reproducible research using these data files. We also demonstrate how these data can be analysed in the CARMEN workflow system. This article is written as a literate programming document; all programs and data described here are freely available. Conclusions 1. We hope this repository will lead to novel analysis of spontaneous activity recorded in different laboratories. 2. We encourage published data to be added to the repository. 3. This repository serves as an example of how multielectrode array recordings can be stored for long-term reuse. Keywords: Retinal waves; Spontaneous activity; Electrophysiology; HDF5; Multielectrode arrays

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DENDRITES 2014, July 1-4, Crete: LAST CALL & LOWER REGISTRATION
by Yiota Poirazi 03 Apr '14

03 Apr '14

Apologies for cross-posting! Please distribute to interested parties. many thanks! Yiota Poirazi ------------------------------------------------------- DENDRITES 2014 4^th NAMASEN Training Workshop Heraklion, Crete, Greece. July 1-4, 2014 http://dendrites2014.gr/ info(a)dendrites2014.gr <mailto:info@dendrites2014.gr> * * * * * FINAL DEADLINE EXTENSION* * * * * Abstract submission for poster and oral presentation has been extended to *April 14th, 2014. This is the final submission date.* * * * * * *REGISTRATION WAIVERS FOR STUDENTS/POSTDOCS** * * * * Several registration waivers are still available!! Waivers are provided by IBRO PERC funding for Symposia, Workshops & Meetings. Students and postdocs presenting an abstract are eligible. To request a waiver, please send an email to info(a)dendrites2014.org <mailto:info@dendrites2014.org>including information about your submitted abstract. Travel funds might also become available and will be announced on the web site. * * * * **LOWER REGISTRATION FEES if registering by April 30th, 2014** * * * * We are happy to announce that, given the availability of new sponsorships, we can provide lower registration fees (-40 Euro) for attendants registering by April 30th, 2014. People who registered already will get reimbursed. * * * * * EMBO KEYNOTE LECTURE* * * * * We are happy to announce that Prof. Tonegawa's lecture will be supported by EMBO, as the "EMBO Keynote Lecture". This award, given to EMBO members presenting in major international scientific meeting, highlights the international standing of DENDRITES 2014. ---------------------------------------- Dendrites 2014 aims to bring together scientists from around the world to present their research on dendrites, ranging from the molecular to the anatomical and biophysical levels. The Workshop will take place in the beautiful island of Crete, just after the AREADNE meeting (areadne.org) which takes place in the nearby island of Santorini. Note that Santorini is just a 2 hour boat ride from Crete. One could combine two meetings in a single trip to Greece! FORMAT AND SPEAKERS The meeting consists of the Main Event (July 1-3) and the Soft Skills Day (July 4). Invited speakers for the Main Event include: * Susumu Tonegawa (Nobel Laureate), * Angus Silver, * Tiago Branco, * Alcino J. Silva, * Michael Häusser, * Julietta U. Frey, * Stefan Remy, and * Kristen Harris. For the Soft Skills Day, Kerri Smith, Nature podcast editor, is going to present on communication and dissemination of scientific results. Alcino J. Silva (UCLA) will present his recent work on developing tools for integrating and planning research in Neuroscience. There will be a hands on session on tools used to model neural cells/networks and a talk about the advantages of publishing under the Creative Commons License. CALL FOR ABSTRACTS Submission of abstracts for poster and oral presentations are due by *14 April 2014*. We welcome both experimental and theoretical contributions addressing novel findings related to dendrites. For details, please see http://dendrites2014.gr/call/. Electronic abstract submission is hosted on the Frontiers platform, where extended abstracts will be published as an online, open access special issue (in Frontiers in Cellular Neuroscience, Impact factor 4.5). One of the authors has to register for the main event as a presenting author. In case an abstract is not accepted for presentation, the registration fee will be refunded. FOR FURTHER INFORMATION Please see the conference web site (http://dendrites2014.gr/) subscribe to our twitter (https://twitter.com/dendrites2014) or RSS feeds (http://dendrites2014.gr/rss_feed/news.xml) or send an email to info(a)dendrites2014.org <mailto:info@dendrites2014.org>. -- Panayiota Poirazi, Ph.D. Research Director Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385 GR 711 10 Heraklion, Crete, GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail:poirazi@imbb.forth.gr http://www.dendrites.gr

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models of structural plasticity
by Ooijen, A. van 03 Apr '14

03 Apr '14

Dear colleagues, We would like to draw your attention to a series of recent papers dedicated to models of structural plasticity. Developing as well as mature brains are much less hard-wired than traditionally thought. Formation of new connections and breaking of existing connections (structural plasticity) by dendritic spine and axonal bouton turnover, as well as re-routing of axonal branches, can cause a dramatic rewiring of brain connectivity, which so far has largely been disregarded in neuronal network models. The following papers describe novel models of structural plasticity: Homeostatic structural plasticity increases the efficiency of small-world networks Markus Butz, Ines D. Steenbuck and Arjen van Ooyen Front. Synaptic Neurosci., 01 April 2014. DOI: 10.3389/fnsyn.2014.00007 (Open access) http://journal.frontiersin.org/Journal/10.3389/fnsyn.2014.00007/abstract A simple rule for dendritic spine and axonal bouton formation can account for cortical reorganization after focal retinal lesions Markus Butz and Arjen van Ooyen PloS Computational Biology, 10 October 2013. DOI: 10.1371/journal.pcbi.1003259 (Open access) http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.100… Further reading: Van Ooyen, A. (2011). Using theoretical models to analyse neural development. Nature Reviews Neuroscience 12: 311-326. Butz, M., Worgotter, F., and Van Ooyen, A. (2009). Activity-dependent structural plasticity. Brain Research Reviews 60: 287-305. Kind regards, Markus Butz Arjen van Ooyen

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Bernstein Workshop "Characterizing Natural Scenes": Call for Abstracts/Contributed Talks
by Jian Liu 02 Apr '14

02 Apr '14

Bernstein workshop: Characterizing Natural Scenes: Retinal Coding and Statistical Theory Call for Abstracts/Contributed Talks You are invited to participate in the pre-conference Bernstein workshop "Characterizing Natural Scenes: Retinal Coding and Statistical Theory", taking place in in Göttingen, Germany, on September 2-3, 2014. Please find the preliminary schedule on workshop URL: https://sites.google.com/site/jiankliu/Meetings/2014bccn_workshop The workshop chairs will select a couple of abstracts for short oral presentation at the workshop. All the abstracts will be presented as posters during the Bernstein conference on September 3-4. However, the workshop could hold a separate poster session based on the number and quality of abstracts that we receive. To participate in the workshop please submit the abstract (the extended version is preferred) as a PDF attachment via email to Jian Liu ( jian.liu(a)med.uni-goettingen.de) or Arno Onken (arno.onken(a)iit.it) The deadline for submission is August 1. REGISTRATION: Please refer to the Bernstein Conference 2014 for registration and venue information. http://www.bernstein-conference.de/ WORKSHOP DESCRIPTION: How does the retina process natural visual inputs? What role do the many types of retinal ganglion cells (RGCs) play in this? Experiments with specific artificial stimuli have suggested that individual types of RGCs may have specific functional roles in visual processing, yet it is not clear how these simplified functional investigations relate to the processing of natural images and movies. An important ingredient for future analysis will be a better understanding of the complex statistical properties of natural scenes, as revealed by theoreticians. The relationship between natural visual statistics and retinal coding provides a promising direction for improving our understanding of the visual system. But we still lack a systematic framework for understanding the underlying mechanisms of how relevant features of natural scenes are encoded by the retina. In this workshop, we expect mutual benefits for both natural scene statistics and retinal coding. We will bring together experimentalists and theoreticians in order to highlight recent progress, encourage exchange of insights, and stimulate new ideas for future work with the following core questions: 1) How can we develop useful descriptions of the statistics of natural scenes that are relevant for retinal coding? 2) How can we characterize the functional roles of different RGC types in processing natural scenes? 3) Which coding strategies are present at the level of RGC populations? 4) How can we unify the acquired knowledge of natural scenes and neural data to develop better tools for analysis? CONFIRMED SPEAKERS: * Vijay Balasubramanian (University of Pennsylvania) * Philipp Berens (BCCN, Tübingen) * Thomas Euler (University of Tübingen) * Felix Franke (ETH Zurich) * Olivier Marre (Vision Institute, Paris) * Aman Saleem (University College London) * Maneesh Sahani (University College London) * Rava A. da Silveira (ENS, Paris) We are looking forward to seeing you in Göttingen. Workshop organizers: Jian Liu (University Medical Center Göttingen and BCCN Göttingen) Arno Onken (Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia Rovereto) ************************************************************************** Jian K. Liu, Ph.D. Mathematics Department of Ophthalmology University Medical Center Goettingen Waldweg 33, 37073 Goettingen Phone: +49 (0)551 39-91248 Fax: +49 (0)551 39-13541 email: jian.liu(a)med.uni-goettingen.de Webpage: https://sites.google.com/site/jiankliu **************************************************************************

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Fully funded Postdoc position in Computational Neuroscience
by Thomas Kreuz 01 Apr '14

01 Apr '14

Fully funded Postdoc position (Experienced Researcher) in Computational Neuroscience New approaches for the analysis of neuronal spike trains (ER3) within the Marie Curie Initial Training Network - ‘Neural Engineering Transformative Technologies’ (NETT) at the Institute of Complex Systems (ISC), CNR, Florence, Italy. Gross Salary per annum: 64,701 € (Living Allowance) plus 9,290 - 13,272 € (Mobility Allowance) depending on circumstances Required title: PhD in Physics, Engineering, Applied Mathematics, or Computational Neuroscience Applications: Please first send an informal enquiry to Dr. Thomas Kreuz (thomas.kreuz(a)cnr.it) and/or Dr. Alessandro Torcini (alessandro.torcini(a)cnr.it) Once you are preselected (you will receive a reply within a few days), a full application has to be submitted according to the rules stated here [http://neuro.fi.isc.cnr.it/index.php?page=how-to-apply] Closing date for the position: May 15, 2014 Applications are invited for the above post to work with Dr. Thomas Kreuz [http://www.fi.isc.cnr.it/users/thomas.kreuz/] and Dr. Alessandro Torcini [http://www.fi.isc.cnr.it/users/alessandro.torcini/] in the Computational Neuroscience group [http://neuro.fi.isc.cnr.it/] at ISC, Florence. This world leading group combines theoretical investigations (e.g., on non-trivial collective phenomena in neuronal populations) with practical applications (such as spike train analysis). The group is one of the main participants in the Center for the Study of Complex Dynamics (CSDC) created with the purpose of coordinating interdisciplinary training and research activities. CSDC researchers include physicists, control engineers, mathematicians, biologists and psychologists. This full-time post will begin on the 1st of September 2014 (at the latest) and will be offered on a fixed-term contract for a period of 24 months. The fellowship will include a six-month stay (probably at the end) with NETT partner Prof. Bert Kappen [http://www.snn.ru.nl/~bertk/] at the Radboud University Nijmegen, Netherlands. The Florence part of the project will mainly consist of two parts: Development of new approaches for (multivariate) data analysis and analysis of electrophysiological data (in particular neuronal spike trains). During the six-month stay in the Netherlands the project will investigate the applicability of methods derived from latent state models, sequential Monte Carlo sampling, and path integral control to analyze neural time-series data, such as spike trains. The candidate should have a strong background in at least one of the following fields: computational neuroscience, data analysis, and nonlinear dynamics as well as solid experience in scientific programming (Matlab). Candidates must be in the first 5 years of their research careers and already be in possession of a doctoral degree in physics, engineering, applied mathematics, or computational neuroscience. Preference will be given to a candidate with experience in (non-linear) data analysis. As part of our commitment to promoting diversity we encourage applications from women. To comply with the Marie Curie Actions rule for mobility applicants must not have resided, worked or studied in Italy for more than 12 months in the 3 years prior to May 2014. Thomas Kreuz Institute for complex systems, CNR Via Madonna del Piano 10 50119 Sesto Fiorentino (Italy) Tel: +39-349-0748506 Email: thomas.kreuz(a)cnr.it Webpage: http://www.fi.isc.cnr.it/users/thomas.kreuz/

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Postdoctoral Positions in Human Intracranial Physiology at the National Institutes of Health
by Zaghloul, Kareem (NIH/NINDS) [E] 01 Apr '14

01 Apr '14

Two full-time post-doctoral position focused on understanding the neural correlates of cognitive function and on the physiology of seizure onset and propagation are available in the Surgical Neurology Branch of the National Institute of Neurological Disorders and Stroke at the NIH. The first position involves studies focused on designing and investigating behavioral tasks related to memory encoding, decision making, and attention, and on analyzing and manipulating human intracranial signals, including single-unit activity, local field potentials, and electro corticography (ECoG), captured from patients with medically refractory epilepsy and from patients receiving deep brain stimulation surgery. The goal of this project is to investigate the neural mechanisms that underlie cognitive behavior. The second position involves studies focused on analyzing ictal and inter-ictal activity across multiple modalities from patients with medically refractory epilepsy, including ECoG recordings and single-unit activity captured through implanted microwires. The goal of this project is to link these data with data captured using MEG, high-density scalp EEG, and functional MRI in order to gain insight into the seizure localization, onset, and spread. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human cognitive function and abnormal seizure physiology and at developing novel and innovative techniques to decode and directly communicate with those circuits through electrical stimulation. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, psychology, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at zaghloulka(a)mail.nih.gov.

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1 PhD +1 Postdoctoral position in Computational Neuroscience at CRM / IDIBAPS (Barcelona).
by JROCHAV＠clinic.ub.es 01 Apr '14

01 Apr '14

Dear Colleagues, We are looking for one PhD student and one Postdoctoral fellow to work in a joint project between the labs of Alex Roxin (Centre de Reserca Matemàtica, CRM) and the lab of Jaime de la Rocha (IDIBAPS). The projects require the development of network models to investigate spontaneous activity in cortical circuits and the relation between neuronal and behavioral variability. The funding comes from an agreement between La Caixa and the Catalan Government to sponsor a training programme on Collaborative Mathematics presented by the CRM. Several positions are available within the training program which offers other projects. Candidates would be chosen on based on academic merit. Funding for the PhD position lasts 39 months and for the postdoctoral position lasts 3 years. Start dates from Fall to Winter 2014-2015 are preferred. The deadline to apply is April 16, 2014. Information about how to apply and a description of the projects can be found here: http://www.crm.cat/SiteAssets/Lists/Crides/EditForm/Calls_Collaborative%20M… If you have any questions please contact Alex Roxin (aroxin(a)crm.cat<mailto:aroxin@crm.cat>) or Jaime de la Rocha (jrochav(a)clinic.ub.es<mailto:jrochav@clinic.ub.es>). Best Jaime Jaime de la Rocha Ramón y Cajal researcher at IDIABPS c. Roselló 149-153 Barcelona, 08036 Spain Tel. +34 932275400 (4307) http://neuro.fcrb.es/delaRochaLab

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Call for Papers: LDAB@CIBB2014
by Andrea Bracciali 01 Apr '14

01 Apr '14

[We apologize if you have received multiple copies of this message] ==================================================== Call for papers Large-scale and HPC data analysis in bioinformatics: Intelligent methods for computational, systems and synthetic biology. 26-28 June 2014 University of Cambridge, UK http://www.cussb.unisr.it/cibb2014/ss.html#LSAHDAIB Special Session of CIBB 2014 (later deadline): Eleventh International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics http://www.cussb.unisr.it/cibb2014/index.html *** Submission deadline: 5th May 2014 *** ==================================================== AIMS and SCOPE Biomedical research is currently facing the Big Data wave created by the huge amount of experiments performed every day in omics sciences. This new situation demands appropriate IT-infrastructures and scalable software to analyse data within an acceptable timespan. Massive parallel clusters, distributed technologies, on-Chip solutions such as GPGPU and Xeon Phi must be exploited with adequate algorithmic solutions to reach their full potential. The aim of this special session is to bring together researchers interested in cutting-edge methods to address the challenges posed by the huge amount of data produced in omics science. The idea is to present the latest advancements concerning High Performance Computing solutions required to treat multi-omics data and the related Big Data paradigms that are needed to manage the large-scale challenges of current computational biology. Examples of relevant areas of interest within this context include - but are not limited to - - Next-Generation Sequencing data analysis and interpretation, - Genomics patterns identification and mining, - Transcriptomics and Proteomics data integration, - Systems Biology models simulation and optimization, - Structural Biology and Molecular Dynamics, - Synthetic Biology circuits design and simulation. SUBMISSION GUIDELINES http://www.cussb.unisr.it/cibb2014/calls.html#submissions Papers should be submitted in PDF format on the Easy Chair conference system. Paper length should be at least 4 pages and should not exceed 6 pages. Papers are required to be structured according to the following five sections: • 1. Scientific background • 2. Material and methods • 3. Results • 4. Conclusion • 5. References (no more than 10) (Please refer to the latex template on the web page for more accurate instructions). Please note that only PDF versions of papers can be accepted, as the proceedings of CIBB will be produced starting from them. A correct submission requires selecting this special session in the submission system. PUBLICATION Each paper will be peer-reviewed and the resulting scores used to determine invitations for oral or poster presentations. Following the conference, an extended version of the presented contributions (12 page format) will be considered for publication in the Springer’s Lecture Notes in Bioinformatics (LNBI) series. Moreover, a selection of the best papers will be considered for pu blication in a special issue of BMC Bioinformatics dedicated to CIBB2014. IMPORTANT DATES Paper submission: 5th May 2014 Acceptance notification: 10th May 2014 Camera ready due: 30th May 2014 Conference: 26th - 28th June 2014 ORGANISERS Andrea Bracciali, University of Stirling, UK Ivan Merelli, CNR-ITB, Italy CONTACTS Andrea Bracciali, University of Stirling, UK Computing Science and Mathematics School of Natural Sciences Stirling University abb(a)cs.stir.ac.uk +44 (0)1786 467446 Ivan Merelli, CNR-ITB, Italy Institute for Biomedical Technologies Consiglio Nazionale delle Ricerche ivan.merelli(a)itb.cnr.it +39 02 26422600

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Deadline is April 2nd (but site will be open until April 4th): Call for Applications in 2014 Telluride Neuromorphic Cognition Engineering Workshop
by Ralph Etienne-Cummings 01 Apr '14

01 Apr '14

Telluride Neuromorphic Cognition Engineering Workshop 2014 Neuromorphic Cognition Engineering Workshop: The 20th Anniversary Edition Telluride, Colorado, June 29th - July 19th, 2014 CALL FOR APPLICATIONS: Deadline is April 2nd, 2014 NEUROMORPHIC COGNITION ENGINEERING WORKSHOP www.ine-web.org Sunday June 29th - Saturday July 19th, 2014, Telluride, Colorado We invite applications for a three-week summer workshop that will be held in Telluride, Colorado.Sunday June 29th - Saturday July 19th, 2014. The application deadline is Wednesday, April 2nd and application instructions are described at the bottom of this document. This is the 20th Anniversary of the Workshop, and ~25 years since the conception of the "Meadian" version of Neuromorphic Engineering. Hence, we plan a celebratory Workshop, where some of the originators and benefactors of the field will participate in discussions of the successes and challenges over the past 25 years and prognosticate the potential contributions for the next 25 years. The 2014 Workshop and Summer School on Neuromorphic Engineering is sponsored by the National Science Foundation, Institute of Neuromorphic Engineering, Qualcomm Corporation, The EU-Collaborative Convergent Science Network (CNS-II), University of Maryland - College Park, Institute for Neuroinformatics - University of Zurich and ETH Zurich, Georgia Institute of Technology, Johns Hopkins University, Boston University, University of Western Sydney and the Salk Institute. Directors: Cornelia Fermuller, University of Maryland, College Park Ralph Etienne-Cummings, Johns Hopkins University Shih-Chii Liu, Institute of Neuroinformatics, UNI/ETH Zurich, Switzerland Timothy Horiuchi, University of Maryland, College Park Workshop Advisory Board: Andreas Andreou, Johns Hopkins University Andre van Schaik, University Western Sydney, Australia Avis Cohen, University of Maryland Barbara Shinn-Cunningham, Boston University Giacomo Indiveri, Institute of Neuroinformatics, Uni/Eth Zurich, Switzerland Jonathan Tapson, University Western Sydney, Australia Malcolm Slaney, Microsoft Research Jennifer Hasler, Georgia Institute of Technology Rodney Douglas, Institute of Neuroinformatics, Uni/Eth Zurich, Switzerland Shihab Shamma, University of Maryland Tobi Delbruck, Institute of Neuroinformatics, Uni/Eth Zurich, Switzerland Previous year workshop can be found at: ine-web.org/workshops/workshops-overview/index.htmland the workshop wiki is athttps://neuromorphs.net/ GOALS: Neuromorphic engineers design and fabricate artificial neural systems whose organizing principles are based on those of biological nervous systems. Over the past 18 years, this research community has focused on the understanding of low-level sensory processing and systems infrastructure; efforts are now expanding to apply this knowledge and infrastructure to addressing higher-level problems in perception, cognition, and learning. In this 3-week intensive workshop and through the Institute for Neuromorphic Engineering (INE), the mission is to promote interaction between senior and junior researchers; to educate new members of the community; to introduce new enabling fields and applications to the community; to promote on-going collaborative activities emerging from the Workshop, and to promote a self-sustaining research field. FORMAT: The three week summer workshop will include background lectures on systems and cognitive neuroscience (in particular sensory processing, learning and memory, motor systems and attention), practical tutorials on emerging hardware design, mobile robots, hands-on projects, and special interest groups. Participants are required to take part and possibly complete at least one of the projects proposed. They are furthermore encouraged to become involved in as many of the other activities proposed as interest and time allow. There will be two lectures in the morning that cover issues that are important to the community in general. Because of the diverse range of backgrounds among the participants, some of these lectures will be tutorials, rather than detailed reports of current research. These lectures will be given by invited speakers. Projects and interest groups meet in the late afternoons, and after dinner. In the early afternoon there will be tutorials on a wide spectrum of topics, including analog VLSI, mobile robotics, vision and auditory systems, central-pattern-generators, selective attention mechanisms, cognitive systems, etc. 2014 TOPIC AREAS: Human Auditory Cognition: Acoustic Priming, Imagination and Attention. Project Leaders: Shihab Shamma (UM-College Park), Malcolm Slaney (Microsoft), Edward Lalor (Trinity College, Dublin), Barbara Shinn-Cunningham (Boston U) Motion and Action Processing on Wearable Devices Project Leaders: Michael Pfeiffer (INI-UZH), Ryad Benosman (UPMC, Paris), Garrick Orchard (NUS, Singapore), and Cornelia Fermüller (UMCP) Planning with Dynamic Neural Fields: from Sensorimotor Dynamics to Large-Scale behavioral Search Project Leaders: Yulia Sandamirskaya (RUB, Bochum) and Erik Billing (U. Skovde) Neuromorphic Olympics Project Leaders: Jorg Conradt (TUM, Munich) and Terry Stewart (U. Waterloo) Embodied Neuromorphic Real-World Architectures of Perception, Cognition and Action Project Leaders: Andreas Andreou (JHU) and Paul Verschure (UPF, Barcelona) Terry Sejnowski (Salk Institute) - Computational Neuroscience (invitational mini-workshop) LOCATION AND ARRANGEMENTS: The summer school will take place in the small town of Telluride, 9000 feet high in southwest Colorado, about 6 hours drive away from Denver (350 miles). Great Lakes Aviation and America West Express airlines provide daily flights directly into Telluride. All facilities within the beautifully renovated public school building are fully accessible to participants with disabilities. Participants will be housed in ski condominiums, within walking distance of the school. Participants are expected to share condominiums. The workshop is intended to be very informal and hands-on. Participants are not required to have had previous experience in analog VLSI circuit design, computational or machine vision, systems level neurophysiology or modeling the brain at the systems level. However, we strongly encourage active researchers with relevant backgrounds from academia, industry and national laboratories to apply, in particular if they are prepared to work on specific projects, talk about their own work or bring demonstrations to Telluride (e.g. robots, chips, software). Wireless internet access will be provided. Technical staff present throughout the workshops will assist with software and hardware issues. We will have a network of PCs running LINUX and Microsoft Windows for the workshop projects. We encourage participants to bring along their personal laptop. No cars are required. Given the small size of the town, we recommend that you do not rent a car. Bring hiking boots, warm clothes, rain gear, and a backpack, since Telluride is surrounded by beautiful mountains. Unless otherwise arranged with one of the organizers, we expect participants to stay for the entire duration of this three week workshop. FINANCIAL ARRANGEMENTS: Notification of acceptances will be mailed out around the April 15th, 2014. The Workshop covers all your accommodations and facilities costs for the 3 weeks duration. You are responsible for your own travel to the Workshop, however, sponsored fellowships will be available as described below to further subsidize your cost. Registration Fees: For expenses not covered by federal funds, a Workshop registration fee is required. The fee is $1250 per participant for the 3-week Workshop. This is expected from all participants at the time of acceptance. Accommodations: The cost of a shared condominium, typically a bedroom in a shared condo for senior participants or a shared room for students, will be covered for all academic participants. Upgrades to a private rooms or condos will cost extra. Participants from National Laboratories and Industry are expected to pay for these condominiums. Fellowships: This year we will offer two Fellowships to subsidize your costs: Qualcomm Corporation Fellowship: Three non-corporate participants will have their accommodation and registration fees ($2750) directly covered by Qualcomm, and will be reimbursed for travel costs up to $500. Additional generous funding from Qualcomm will provide $5000 to help organize and stage the Workshop. EU-CSNII Fellowship (http://csnetwork.eu/) which is funded by the 7th Research Framework Program FP7-ICT-CSNII-601167: The top 8 EU applicants will be reimbursed for their registration fees ($1250), subsistence/travel subsidy (up to Euro 2000) and accommodations cost ($1500). The registration and accommodation costs will go directly to the INE (the INE will reimburse the participant's registration fees after receipt from CSNII), while the subsistence/travel reimbursement will be provided directly to the participants by the CSNII at the University of Pompeu Fabra, Barcelona, Spain. HOW TO APPLY: Applicants should be at the level of graduate students or above (i.e. postdoctoral fellows, faculty, research and engineering staff and the equivalent positions in industry and national laboratories). We actively encourage women and minority candidates to apply. Anyone interested in proposing or discussing specific projects should contact the appropriate topic leaders directly. The application website is (after February 7th, 2014): ine-web.org/telluride-conference-2014/apply-info Application information needed: Contact email address. First name, Last name, Affiliation, valid e-mail address. Curriculum Vitae (a short version, please). One page summary of background and interests relevant to the workshop, including possible ideas for workshop projects. Please indicate which topic areas you would most likely join. Two letters of recommendation (uploaded directly by references). Applicants will be notified by e-mail. 7th February, 2014 - Applications accepted on website 2nd April, 2014 - Applications Due 15th April, 2014 - Notification of Acceptance -- Ralph Etienne-Cummings, PhD, FIEEE Professor Department of Electrical and Computer Engineering Computational Sensor Motor Systems Lab

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Summer school in Computational Sensory-Motor Neuroscience (CoSMo 2014)
by Gunnar Blohm 31 Mar '14

31 Mar '14

*Fourth Annual Computational Sensory-Motor Neuroscience Summer School (CoSMo 2014)* University of Minnesota, Minneapolis, MN, USA August 3-17, 2014 We would like to invite you to join us for the third annual Computational Sensory-Motor Neuroscience Summer School. The course is about experimental, computational and medical aspects of sensory-motor neuroscience with a focus on data/model sharing. Covered topics include Bayesian approaches, motor control, computational neuroimaging, sensory-motor transformations and prosthetics. An important focus is on doing research as opposed to just hearing about it. Each teaching module will take up two days with morning lecture sessions. Afternoon sessions involve hands-on Matlab programming, simulation and data-analysis. Newly acquired computational tools can also be applied in 2-week evening group research projects. The course is aimed at students and post-doctoral fellows from diverse backgrounds including Life Sciences, Psychology, Computer Science, Physics, Mathematics and Engineering. Basic knowledge in calculus, linear algebra and Matlab is expected. Enrollment will be limited to 40 trainees. *Application deadline: April 27, 2014* For more information and to apply, please go to http://www.compneurosci.com/CoSMo/ The school is co-organized by Drs Gunnar Blohm, Paul Schrater and Konrad Körding. It receives funding from the National Sciences and Engineering Research Council of Canada (NSERC) via an NSERC-CREATE training grant on "Computational Approaches in Neuroscience – Action, Control & Transformations", and from the National Science Foundation (NSF, USA). -- ------------------------------------------------------- Dr. Gunnar BLOHM Assistant Professor in Computational Neuroscience Centre for Neuroscience Studies, Departments of Biomedical and Molecular Sciences, Mathematics & Statistics, and Psychology, School of Computing, and Canadian Action and Perception Network (CAPnet) Queen’s University 18, Stuart Street Kingston, Ontario, Canada, K7L 3N6 Tel: (613) 533-3385 Fax: (613) 533-6840 Email:Gunnar.Blohm@QueensU.ca Web:http://www.compneurosci.com/

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2014 NEURON Summer Course
by Ted Carnevale 31 Mar '14

31 Mar '14

This year's NEURON Summer Course has two components that can be taken individually or together. NEURON Fundamentals, which runs from June 21-24, addresses all aspects of using NEURON to model individual neurons, and also introduces parallel simulation and the fundamentals of modeling networks. Parallel Simulation with NEURON is for users who are already familiar with NEURON and need to create models that will run on parallel hardware. Registration is limited, and the registration deadline is Friday, May 30, 2014. For more information regarding NEURON courses see http://www.neuron.yale.edu/neuron/courses --Ted

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Open Source Brain workshop 2014: Building and sharing models of the cortex
by solinas 31 Mar '14

31 Mar '14

(Apologies for cross postings) Announcing the 2014 Open Source Brain Workshop: Building and sharing models of the cortex. May 14-16th, Alghero, Sardinia. There are an increasing number of cortical cell and network models being developed and made publicly available, from networks of leaky integrate and fire neurons based on cortical connectivity and firing properties, to multicompartmental, conductance based cell models. Many of these are being reused, reimplemented and extended to address new scientific questions by labs around the world. In this meeting, we will look at the range cortico-thalamic models out there which are of widespread interest and work towards getting these into public, open source repositories, in standardised formats such as NeuroML and PyNN. We will investigate the steps needed to ensure these models are well tested, annotated and ready for use as research tools by the attendees and the wider community. There will be presentations from experimentalists who are producing the data to constrain these models, as well as simulator and application developers who will create the infrastructure to build, simulate, analyse and share the models. On the morning of Friday 16th, there will be a symposium on Oscillation and Resonance in CNS Network Loops. The symposium will focus on the reconstruction and analysis of oscillating networks. These methods can be applied at multiple levels of brain modelling providing valuable constraints for single neuron and network models. There will be presentations of modelling studies on how the brain generates oscillations and how external, oscillating electro-magnetic fields influence brain activity. Confirmed speakers Sharon Crook, Arizona State University, USA Markus Diesmann, Research Center Jülich, Germany Dirk Feldmeyer, Aachen University, Germany Alon Korngreen, Bar-Ilan University, Israel Dave Lester, SpiNNaker project, University of Manchester, UK Robert A. McDougal, Yale University School of Medicine, USA Michele Migliore, National Research Council, Italy & Yale University School of Medicine, USA Eilif Muller, Blue Brain Project, EPFL, Switzerland Ole Paulsen, University of Cambridge, UK Angus Silver, University College London Tim Vogels, University of Oxford, UK Daniel Wójcik, Nencki Institute, Poland Full details of the workshop can be found here: http://www.opensourcebrain.org/projects/osb/wiki/OSB2014 There will also be a NeuroML Editorial Board meeting on Tues 13th. More details will follow on the NeuroML mailing lists. Interested parties are welcome to attend; please email p.gleeson(a)ucl.ac.uk. The Open Source Brain initiative aims to encourage collaborative, open source model development in computational neuroscience and is primarily supported by the Wellcome Trust. The OSB symposium is primarily supported by the IRCCS C. Mondino and the Italian Ministry of Health through the research project GR-2009-1493804. Regards, The OSB 2014 organising committee

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New book - Directed Information Measures in Neuroscience
by Joseph Lizier 31 Mar '14

31 Mar '14

Dear all, We are pleased to announce the publication of the following edited book: "Directed Information Measures in Neuroscience" edited by Michael Wibral, Raul Vicente, Joseph T. Lizier in series "Understanding Complex Systems", Springer, Berlin, 2014. About the book: http://www.springer.com/physics/complexity/book/978-3-642-54473-6 Analysis of information transfer has found rapid adoption in neuroscience, where a highly dynamic transfer of information continuously runs on top of the brain's slowly-changing anatomical connectivity. Measuring such transfer is crucial to understanding how flexible information routing and processing give rise to higher cognitive function. Directed Information Measures in Neuroscience reviews recent developments of concepts and tools for measuring information transfer, their application to neurophysiological recordings and analysis of interactions. Written by the most active researchers in the field the book discusses the state of the art, future prospects and challenges on the way to an efficient assessment of neuronal information transfer. Highlights include the theoretical quantification and practical estimation of information transfer, description of transfer locally in space and time, multivariate directed measures, information decomposition among a set of stimulus/responses variables and the relation between interventional and observational causality. Applications to neural data sets and pointers to open source software highlight the usefulness of these measures in experimental neuroscience. With state-of-the-art mathematical developments, computational techniques and applications to real data sets, this book will be of benefit to all graduate students and researchers interested in detecting and understanding the information transfer between components of complex systems. Downloads of individual chapters (requires Springer access) via: http://link.springer.com/book/10.1007%2F978-3-642-54474-3 Contents: Section 1 - Introduction to Directed Information Measures Chapter 1. "Transfer Entropy in Neuroscience", Michael Wibral, Raul Vicente, Michael Lindner -- http://link.springer.com/chapter/10.1007/978-3-642-54474-3_1 Chapter 2. "Efficient Estimation of Information Transfer", Raul Vicente, Michael Wibral -- http://link.springer.com/chapter/10.1007/978-3-642-54474-3_2 Section 2 - Information Transfer in Neural and Other Physiological Systems Chapter 3. "Conditional Entropy-Based Evaluation of Information Dynamics in Physiological Systems", Luca Faes, Alberto Porta -- http://link.springer.com/chapter/10.1007/978-3-642-54474-3_3 Chapter 4. "Information Transfer in the Brain: Insights from a Unified Approach", Daniele Marinazzo, Guorong Wu, Mario Pellicoro, Sebastiano Stramaglia -- http://link.springer.com/chapter/10.1007/978-3-642-54474-3_4 Chapter 5. "Function Follows Dynamics: State-Dependency of Directed Functional Influences", Demian Battaglia -- http://link.springer.com/chapter/10.1007/978-3-642-54474-3_5 Chapter 6. "On Complexity and Phase Effects in Reconstructing the Directionality of Coupling in Non-linear Systems", Vasily A. Vakorin, Olga Krakovska, Anthony R. McIntosh -- http://link.springer.com/chapter/10.1007/978-3-642-54474-3_6 Section 3 - Recent Advances in the Analysis of Information Processing Chapter 7. "Measuring the Dynamics of Information Processing on a Local Scale in Time and Space", Joseph T. Lizier -- http://link.springer.com/chapter/10.1007/978-3-642-54474-3_7 Chapter 8. "Parametric and Non-parametric Criteria for Causal Inference from Time-Series", Daniel Chicharro -- http://link.springer.com/chapter/10.1007/978-3-642-54474-3_8 Amazon link: http://www.amazon.com/gp/product/3642544738/ref=as_li_ss_tl?ie=UTF8&camp=17… Regards, Michael Wibral, Raul Vicente and Joseph Lizier

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Decision Making Bristol 2014: Abstract Submission deadline EXTENDED to 7 April 2014
by DMB 2014 Mailbox 31 Mar '14

31 Mar '14

***The Deadline for submission of abstracts to the Decision Making Bristol 2014 conference has been extended to 7 April 2014.*** *Decision Making Bristol 2014* The Decision-making Group at the University of Bristol invites you to submit abstracts to our second conference - Decision Making Bristol 2014<http://www.bris.ac.uk/decisions-research/conference2014/> - to be held 9-12 September 2014. Following the success of the 2012 conference, this conference aims to embrace a breadth of research, appealing to those interested in all aspects of decision making. We are pleased to announce that the following Key Note speakers have been secured Gerd Gigerenzer<http://www.mpib-berlin.mpg.de/en/staff/gerd-gigerenzer> , Tom Griffiths <http://psychology.berkeley.edu/people/tom-griffiths>, Antonio Rangel <http://www.rnl.caltech.edu/index.html> and Jeffrey D. Schall<http://www.vanderbilt.edu/psychological_sciences/bio/jeffrey-schall>. These will be accompanied by invited talks from Nick Chater<http://www.wbs.ac.uk/about/person/nick-chater/> , Eric-Jan Wagenmakers <http://www.ejwagenmakers.com/> and Daniel Wolpert<http://learning.eng.cam.ac.uk/Public/Wolpert/Wolpert> . Held in the beautiful city of Bristol, at one of the UK's leading science and discovery centres, At-Bristol <http://www.at-bristol.org.uk/>, the conference will promote interdisciplinary collaborations and welcomes attendance from both theoreticians and experimentalists. The *call for short abstracts *(500 words) is now *OPEN *and we invite you to submit your abstract to the following email address: DMB-2014(a)bristol.ac.uk. The closing date for receipt is now *****7 April 2014**.* *Further information and Registration: * http://www.bris.ac.uk/decisions-research/conference2014/ . Registration closing date is 30 June 2014. Please feel free to share this email with your colleagues and research students. We look forward to seeing you in September. Best wishes, Sally-Ann Parry, *on behalf of the Decision-making Group* -- *Decision Making Bristol 2014, * *9- 12 September* e: DMB-2014(a)bristol.ac.uk w: http://www.bris.ac.uk/decisions-research/conference2014/ w: http://www.bris.ac.uk/decisions-research/ a: University of Bristol, 5 Priory Road, Bristol, BS8 1TZ

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PhD position available at the School of Engineering, University of Lincoln
by Basabdatta Sen Bhattacharya 31 Mar '14

31 Mar '14

A fully funded PhD is available at the School of Engineering, University of Lincoln, United Kingdom, to work under the supervision of Dr. Basabdatta Bhattacharya <http://staff.lincoln.ac.uk/bbhattacharya> and Prof. Timothy Gordon <http://staff.lincoln.ac.uk/tgordon>. The details and how to apply are available at: https://sites.google.com/site/bsenbhattacharya/phd/fully-fundedphdstudentsh… The *Deadline* for Application is *18th April 2014.* For informal enquiries please contact Basabdatta Sen Bhattacharya at bbhattacharya(a)lincoln.ac.uk or at basab(a)ieee.org. A link to the advert on the University website is available at the link below; scroll down to the heading 'College of Science': http://www.lincoln.ac.uk/home/studyatlincoln/postgraduateprogrammes/postgra… *Note:* The *full funding* is for UK/EU students *only*. International students would need to provide the difference in fees as appropriate. --------------------------------------------------------------- Basabdatta Sen Bhattacharya, PhD Lecturer, School of Engineering ENG 321, Engineering Hub University of Lincoln Brayford Pool, Lincoln LN6 7TS United Kingdom Telephone: +44(0)1522837947 *http://staff.lincoln.ac.uk/bbhattacharya <http://staff.lincoln.ac.uk/bbhattacharya>* Personal page: https://sites.google.com/site/bsenbhattacharya

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application deadline extended till Apr 14 for international summer school: CAMP@Bangalore
by Aditya Gilra 29 Mar '14

29 Mar '14

The deadline for applying to the international summer school: Computational Approaches to Memory and Plasticity, CAMP@Bangalore 2014<http://www.ncbs.res.in/camp/>is extended to 14th April, 2014. Please download the poster <http://www.ncbs.res.in/camp/content/poster> and circulate widely. Details follow ... Computational Approaches to Memory and Plasticity (CAMP @ Bangalore) 2014<http://www.ncbs.res.in/camp> . Website: http://www.ncbs.res.in/camp/ Venue: National Centre for Biological Sciences, Bangalore, India<http://www.ncbs.res.in/> Dates: 28th June to 12th July, 2014 Organizer: Upinder Bhalla (NCBS, Bangalore, India)<http://www.ncbs.res.in/bhalla> CAMP @ Bangalore is a 15-day summer school on the theory and simulation of learning, memory and plasticity in the brain. PhD students and post-docs from theoretical and/or experimental backgrounds (physics, math, neuroscience, engineering, etc.) are welcome. Familiarity with programming, dynamical systems, and/or computational neuroscience is highly desirable. Master's or Bachelor's degree students can apply if they have sufficient background beyond course-work. The school will start with remedial tutorials on neuroscience / math / programming and then work upwards from sub-cellular electrical and chemical signaling in neurons, onward to micro-circuits and networks, all with an emphasis on learning, memory and plasticity. Students worldwide are encouraged to apply online at www.ncbs.res.in/camp latest by 14th Apr, 2014. Lecturers: Sumantra Chattarji (NCBS, Bangalore) <http://www.ncbs.res.in/shona>, Xiao-Jing Wang (New York University, New York)<http://www.cns.nyu.edu/wanglab/> , Suhita Nadkarni (Indian Institute of Science Education and Research, Pune)<http://www.iiserpune.ac.in/~suhita/Suhita/Home.html> , Claudia Clopath (Imperial College, London)<http://www.bg.ic.ac.uk/research/c.clopath/> , Eve Marder (Brandeis University, Waltham/Boston)<http://blogs.brandeis.edu/marderlab/> , Rishikesh Narayanan (Indian Institute of Science, Bangalore)<http://mbu.iisc.ernet.in/~rngrp/> , Arthur Wingfield (Brandeis University, Waltham/Boston)<http://www.bio.brandeis.edu/faculty/wingfield.html> , Michael Hausser (University College, London)<http://www.ucl.ac.uk/WIBR/research/neuro/mh/index.htm> , Arvind Kumar (Bernstein Center, Freiburg)<http://www.bcf.uni-freiburg.de/people/details/kumar> , Stefano Fusi (Columbia University, New York)<http://neurotheory.columbia.edu/stefano.html> , Raghav Rajan (Indian Institute of Science Education and Research, Pune)<http://www.iiserpune.ac.in/~raghav/> For more information, email camp2014(a)ncbs.res.in Best Regards, Aditya. ---- Aditya Gilra, Prof Upinder S Bhalla's lab, National Centre for Biological Sciences, Tata Institute of Fundamental Research, GKVK, Bellary Road, Bangalore - 560065, India. Ph: 91-80-23666507.

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Post-doc - Detailed Neuronal Modeling - Blue Brain Project, Lausanne, Switzerland
by emuller 28 Mar '14

28 Mar '14

Dear comp-neuro community, I wish to draw your attention to an opening for a post-doctoral researcher in "Detailed Neuron Modeling and Dendritic Integration" (full advert below), at the Blue Brain Project, EPFL, Lausanne, Switzerland. For more details, and instructions how to apply, see: http://emploi.epfl.ch/page-106385-en.html Best regards, Eilif ------------- Dr. Eilif Muller Section Manager - In Silico Neuroscience - Experimentation EPFL - Blue Brain Project QIJ 3ème étage CH-1015 Lausanne Switzerland Tel: ++41 21 693 0698 Fax: ++41 21 693 5350 www: http://bluebrain.epfl.ch/page-77926-en.html www: http://neuralensemble.org/people/eilifmuller ------------------------------------------------------------------------------------- The Blue Brain Project, led by Prof. Henry Markram, seeks outstanding candidates for the position of: Post-doctoral Researcher in Detailed Neuron Modeling and Dendritic Integration The primary objectives for this position are to strengthen on-going large-scale detailed neuron modeling and validation efforts in the project, and to undertake original scientific research to characterize the role of single cell and dendritic integration mechanisms in computation and dynamics at the network level. Scientific leadership is expected to supervise computational neuroscience students, as is an intimate knowledge of the employed software in order to interface with engineering teams. The position is in close contact with an electrophysiology lab and modeling will go hand in hand with available and newly acquired experimental data. Detailed Requirements: * PhD in neuroscience, computational neuroscience, physics or related field * expert in NEURON and multi-compartment conductance-based modeling as demonstrated by strong publication record * expert in automated neuron model optimization techniques * expert knowledge of whole cell electrophysiology, ion channel experiments * expert of scientific computing (python, scipy, numpy, hdf5, matplotlib, Linux, etc.) * knowledge of other programming languages (C++) and parallel computing is of advantage * familiarity with model description languages (e.g. NeuroML) * experience in supervision of students and teaching * strong team player * fluent English in speech and writing What we offer: * An internationally visible project in simulation-based research in neuroscience having a leading role in the EU FET flagship “Human Brain Project” * A vibrant, dynamic, inter-disciplinary, and international working environment * Very competitive salary Start date: 1 June 2014. Deadline for application: open until position is filled. Activity rate: 100%. Duration of contract: 1 year, renewable. For more details, and instructions how to apply, see: http://emploi.epfl.ch/page-106385-en.html

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Postdoctoral and Ph.D. positions at the Ben Gurion University, Israel
by David Golomb 27 Mar '14

27 Mar '14

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

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Computational Approaches to Memory and Plasticity: deadline approaching
by Subhasis Ray 27 Mar '14

27 Mar '14

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

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Summer Workshop on the Dynamic Brain, Friday Harbor: deadline approaching!
by Adrienne Fairhall 27 Mar '14

27 Mar '14

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

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Fwd: a foundation professor in computational neuroscience at Monash, Australia
by Naotsugu Tsuchiya 26 Mar '14

26 Mar '14

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

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Advanced Course in Computational Neuroscience 2014
by Máté Lengyel 26 Mar '14

26 Mar '14

ADVANCED COURSE IN COMPUTATIONAL NEUROSCIENCE August 3 - 30, 2014, FIAS, Frankfurt, Germany http://fias.uni-frankfurt.de/accn/ *** NOTE EXTENDED DEADLINE FOR APPLICATIONS *** Applications accepted: February 10, 2014 – March 31, 2014 SCIENTIFIC DIRECTORS: * Ehud Ahissar (Weizmann Institute, Israel) * Dieter Jaeger (Emory University, USA) * Máté Lengyel (University of Cambridge, UK) * Christian Machens (Champalimaud Neuroscience Programme, Portugal) LOCAL ORGANIZERS: * Jochen Triesch (FIAS, Frankfurt, Germany) * Hermann Cuntz (FIAS & ESI, Frankfurt, Germany) FUNDING: FENS, IBRO, FIAS, MPI Brain Research, Hertie Foundation The ACCN is for advanced graduate students and postdoctoral fellows who are interested in learning the essentials of the field of computational neuroscience. The course has two complementary parts. Mornings are devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students pursue a project of their choosing under the close supervision of expert tutors. This gives them practical training in the art and practice of neural modeling. The first week of the course introduces students to essential neurobiological concepts and to the most important techniques in modeling single cells, synapses and circuits. Students learn how to solve their research problems using software such as MATLAB, NEST, NEURON, Python, XPP, etc. During the following three weeks the lectures cover networks and specific neural systems and functions. Topics range from modeling single cells and subcellular processes through the simulation of simple circuits, large neuronal networks and system level models of the brain. The course ends with project presentations by the students. The course is designed for students from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology as well as some computer experience. Students of any nationality can apply. Essential details: * Course size: about 30 students. * Fee (which covers tuition, lodging, meals and excursions): EUR 750. * Scholarships and travel stipends are available. * Application start: February 10, 2014 * Application deadline: March 23, 2014 * Deadline for letters of recommendation: March 23, 2014 * Notification of results: May, 2014 Information and application http://fias.uni-frankfurt.de/accn/ Contact address: accn(a)fias.uni-frankfurt.de FACULTY Erik De Schutter (Okinawa Institute of Science and Technology, Japan), Dieter Jaeger (Emory University, USA), Astrid Prinz (Emory University, USA), Charles Wilson (University of Texas, San Antonio, USA), Michael Hausser (University College London, UK), Sophie Deneve (Ecole Normale Superieure, France), Christian Machens (Champalimaud Centre for the Unknown, Portugal), Jochen Triesch (FIAS, Germany), Misha Tsodyks (Weizmann Institute, Israel), Carl van Vreeswijk (CNRS Paris, France), Peter Dayan (University College London, UK), Joern Diedrichsen (University College London, UK), Máté Lengyel (University of Cambridge, UK), Zhaoping Li (University College London, UK), Tatjana Tchumatchenko (MPI for Brain Research, Frankfurt, Germany), Ehud Ahissar (Weizmann Institute, Israel), Merav Ahissar (Hebrew University, Israel), Nava Rubin (Universitat Pompeu Fabra, Spain) General Interest Lectures: Hans-Joachim Pflueger (Freie Universitaet Berlin, Germany), Erin Schuman (MPI for Brain Research, Germany), Erik De Schutter (Okinawa Institute of Science and Technology, Japan), J. Kevin O'Regan (Paris Descartes University, France) Tutors: Daniel Miner (Frankfurt, Germany), Andreea Lazar (Frankfurt, Germany), Wieland Brendel (Lisbon / Tuebingen, Portugal / Germany), Sina Tootoonian (Cambridge, UK), Peter Jedlicka (Frankfurt, Germany) SECRETARY DURING THE COURSE Chris Ploegaert (University of Antwerp, Belgium) -- Mate Lengyel, PhD Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 332 662 email: m.lengyel(a)eng.cam.ac.uk web: www.eng.cam.ac.uk/~m.lengyel

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post-doc available in computational neuroscience applied to regenerative biology
by Levin, Michael 25 Mar '14

25 Mar '14

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

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Ninth Summer School on Advanced Statistics and Data Mining (Madrid, June 23rd - July 4th, 2014)
by asdm＠fi.upm.es 25 Mar '14

25 Mar '14

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

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Fully funded PhD position: computational neuroscience / complex system theory
by Prof. Claudius Gros 25 Mar '14

25 Mar '14

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

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Position for a Senior Postdoctoral Neuroscientist
by Ileana Hanganu-Opatz 25 Mar '14

25 Mar '14

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

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Call for Abstracts: Bernstein Conference 2014
by Kerstin Mosch 25 Mar '14

25 Mar '14

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Research Associate Position at University of Manchester
by Sergio Davies 24 Mar '14

24 Mar '14

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

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Research Associate Position at University of Manchester
by Sergio Davies 24 Mar '14

24 Mar '14

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

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Research Associate position at Bernstein Centre Freiburg, Germany
by Carsten Mehring 24 Mar '14

24 Mar '14

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

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First neural connectomics challenge: from imaging to connectivity
by Demian Battaglia 24 Mar '14

24 Mar '14

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

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Deadline is Approaching:: CFP::4th DICTAP- IEEE-Thailand
by Natalie Walker 23 Mar '14

23 Mar '14

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

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The Scientific World Journal special issue titled 'Hybrid Systems to Investigate the Computational and Learning Properties of Neuronal Assemblies’
by Michela Chiappalone 21 Mar '14

21 Mar '14

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

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