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December10-13th : Workshop and Course on "Neural Information Dynamics, Causality and Computation close to Criticality"
by Michael Wibral 26 Sep '14

26 Sep '14

Dear colleagues, please find below an invitation to a joint workshop by LOEWE-NeFF and the Frankfurt Institute for Advanced Studies (FIAS). Best Regards, Michael Wibral Matthias Kaschube ----------------------- LOEWE-NeFF and the Frankfurt Institute for Advanced Studies (FIAS) jointly invite you to a “Workshop on Neural Information Dynamics, Causality and Computation near Criticality” December 12-13th, 2014 The workshop is preceded by a “Software course on Neural Information Dynamics with TRENTOOL, the Java Information Dynamics Toolkit and MuTE” December 10-11th, 2014 Venue: Workshop and student course will be held at the Frankfurt Institute for Advanced Studies (FIAS, www.fias.uni-frankfurt.de) Ruth-Moufang-Straße 1, 60438 Frankfurt, Germany The workshop addresses the analysis of neural computation in large neural systems and covers three tightly related topics in the field of modern analysis of neural data: Causality The analysis of causal interactions yields important insights into the biophysical substrate of neural dynamics that enable emergent computation. It is one of the goals of the workshop to discuss the link between causal analysis and the analyses of information processing proper, in order to clarify the dividing line and the mutual benefit of these two types of analyses. Neural information dynamics Information theoretic quantities separate and measure key elements of distributed computation in neural systems, such as the storage, transfer, and modification of information. These concepts can help to better understand the computational algorithms implemented by the dynamics of a neural system, providing the link between these algorithms and their biophysical implementation. Large scale organisation and criticality Neural systems orchestrate the activity of a large number of interacting neurons to achieve their computational capabilities. Recent advances in recording technology make it possible to reveal the activity patterns of hundreds of neurons distributed across the brain. This offers the unique opportunity to identify the large-scale organising principles of neural activity, such as operation near a critical point, that support computation in the system. Confirmed speakers: Adam Barrett Demian Battaglia Sakyasingha Dasgupta Luca Faes Esther Florin Moritz Grosse-Wentrup Andreea Lazar Anna Levina Daniele Marinazzo Oliver Obst Gordon Pipa Alberto Porta Viola Priesemann Karin Schiecke Raul Vicente The supporting software course addresses young scientists who intend to apply information theoretic measures for neuroscience hands on, and that would like to contribute code to one of the open source toolboxes on the topic. Some minimal experience with MATLAB or GNU-Octave is necessary for participation. Some prior knowledge in information theory is a plus. Applications for the student course should include a brief statement of motivation. Student course faculty: Alessandro Montalto (MuTE) Michael Wibral (TRENTOOL, Java Information Dynamics Toolkit) Patricia Wollstadt (TRENTOOL) ---------------------------------------------------------- Please apply/register by email before October 24th to wibral(a)em.uni-frankfurt.de as places for course and workshop are limited. Registration fees Student course: 50,00 EUR Workshop: 75,00 EUR Course+Workshop: 100,00 EUR Upon successful registration please wire the registration fees to: Account holder: Universitätsklinikum Account: 37 99 99, BLZ: 50050201 IBAN: DE 32 500 502 01 0000 37 9999 SWIFT-Code: HELADEF 1822 Reference: 21000521

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ICCM 2015
by ICCM 2015 26 Sep '14

26 Sep '14

############################# Call for papers ICCM 2015 April 9 - 11, 2015 Tutorials: April 8, 2015 Groningen, The Netherlands ############################# We would like to invite you to the 13th International Conference on Cognitive Modeling: the premier conference for research on computational models and computation-based theories of human cognition. ICCM is a forum for presenting and discussing the complete spectrum of cognitive modeling approaches, including connectionism, symbolic modeling, dynamical systems, Bayesian modeling, and cognitive architectures. Research topics can range from low-level perception to high-level reasoning. In 2015 we specifically welcome contributions that use computational models to better understand neuroscientific data. We are pleased to announce three world-class invited speakers: Pieter Roelfsema (Netherlands Institute for Neuroscience), Mark Steyvers (University of California, Irvine), and John Anderson (Carnegie Mellon University). All types of submissions (full papers, poster abstracts, symposia, and pre-conference tutorials) are due on December 8, 2014, 11.59pm CEST. More information can be found on our website: http://www.iccm2015.org We hope to see you in Groningen! Niels Taatgen Marieke van Vugt Jelmer Borst Katja Mehlhorn #############################

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Invitation - 4th International Conference " Aspects of Neuroscience" Warsaw, Poland, November 14th to 16th 2014
by Daniel Borek 25 Sep '14

25 Sep '14

Dear Friend, On behalf of the Board of the Student Neurobiology Society operating at the Faculty of Biology of the University of Warsaw (Poland) we would like to invite you to *the 4**th** International Conference " Aspects of Neuroscience"* that will be held in Warsaw, Poland, *from November 14**th** to 16**th** 2014* at the Faculty of Biology of the University of Warsaw. As in the following years, this time the Conference also consists of poster and report symposia*. *November symposia will be devoted to*: Neurobiology, Cognitive Neuroscience, Clinical Neuroscience, Neuroinformatics and Neuroscience Borderlines*. Each of the thematic symposium will be preceded by a lecture delivered by one of the guests, a specialist of a given domain. The IV edition of Aspects of Neuroscience Conference will be opened by *prof. Krzysztof Palczewski *from Department of Pharmacology (Case Western Reserve University, Ohio, USA) with the lecture entitled "Chemistry of vision and inherited retinal disease". The closing lecture will be delivered by *prof. Wiesław Nowiński* from the Agency for Science, Technology and Research <http://pl.wikipedia.org/wiki/Agency_for_Science,_Technology_and_Research> who is a *creator of 3D human brain atlase.* Among our special guests are *dr Bruce Graham* from University of Stirling in Scotland (Neuroinformatics session), *prof. Leszek Kaczmarek* from Nencki Institute of Experimental Biology, Polish Academy of Sciences (Neurobiology session), *dr Valeria Gazzolla* from the Netherlands Institute for Neuroscience in Amsterdam, assistant professor at the University of Groningen in Netherlands (Cognitive neuroscience session) and *prof. Semir Zeki – *the Head of the Wellcome Laboratory of Neurobiology (Vislab) at the University of College London (Borderlines of neuroscience session). The student lectures will take place simultaneously in two rooms, in *basic* version *and* in *extended version*. Language of conference is *English*. The event is intended for students, doctoral students and research workers related to neuroscience, but also for people who do not have any experience in this field of knowledge. *Registration for the conference is already open! * http://www.neuronauka.org/eng/?page_id=69 More information about conference and the whole Project: www.neuronauka.org/eng. Find us on facebook: https://www.facebook.com/AspectsOfNeuroscience?fref=ts Yours sincerely, Student Neurobiology Society at the University of Warsaw Organizing Committee of the International Conference of Students and Young Scientists "The Aspects of Neuroscience"

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POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY
by Wilson Truccolo 24 Sep '14

24 Sep '14

POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY: Applications for NIH-funded post-doctoral positions are invited for the Laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of data-driven stochastic and biophysical models of multiscale neural dynamics in human epilepsy. Data consist of simultaneous intracortical microelectrode array recordings of ensembles of single neurons and local field potentials, as well as ECoGs, during seizure and non-seizure states in individuals with intractable epilepsy. The project involves a collaboration between the labs of Dr. Truccolo and Dr. Sydney Cash (Massachusetts General Hospital, Harvard Medical School, Boston). The ideal candidate will have a strong background in computational/theoretical neuroscience and modeling of stochastic neural dynamics. Related recent publications can be found on the Truccolo lab website ( http://www.truccololab.com/ <http://dl.dropbox.com/u/983891/Truccolo_home.htm>). Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational Neuroscience Institute for Brain Science & Department of Neuroscience, Brown University Lab website: http://www.truccololab.com/

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PhD position in systems neuroscience at the Queensland Brain Institute (Australia).
by Allen Cheung 24 Sep '14

24 Sep '14

Dear Colleagues, We are seeking a suitable PhD candidate to investigate the computational underpinnings of spatial representations in the rodent hippocampus. The candidate will use in vivo electrophysiology and new wireless recording technologies to record from individual neurons in behaving rodents. The work will be carried out in state-of-the-art facilities at the Queensland Brain Institute in Brisbane, Australia. Further information about the PhD project and the Queensland Brain Institute can be found at: http://jobs.uq.edu.au/caw/en/job/496483/phd-position-in-systems-neuroscienc… Allen ________________________________________________ Dr Allen Cheung Group Leader | Computational Neuroscience | Spatial Navigation Queensland Brain Institute | The University of Queensland Email: a.cheung(a)uq.edu.au ________________________________

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Recruitment: Sainsbury Wellcome Centre for Neural Circuits and Behaviour
by Peter Dayan 23 Sep '14

23 Sep '14

Sainsbury Wellcome Centre for Neural Circuits and Behaviour Under the Directorship of Professor John O’Keefe, the Sainsbury Wellcome Centre for Neural Circuits and Behaviour at UCL will commence operations in early 2015 bringing together world-leading scientists to investigate how brain circuits process information to create neural representations and guide behaviour. The Centre has been created through substantial investment from the Gatsby Charitable Foundation and the Wellcome Trust, and is being structured to foster a culture of innovation, collaboration, enquiry and excellence. The Centre will be accommodated in a new, purpose-designed, seven-storey building located in Central London and offering an outstanding and unparalleled research environment through its provision of state-of-the-art research laboratories with integral biological services capability, cutting-edge scientific equipment, technologically-advanced prototyping and fabrication laboratories, significant in-house high-performance computing facilities and extensive data storage systems to support both experimental analysis and theoretical modelling. Neuroscientists working in the Centre will use the latest advanced molecular and cellular biology, imaging, electrophysiology and behavioural techniques. The Gatsby Computational Neuroscience Unit will be located at the heart of the Centre, facilitating broad and deep collaborations in data analysis and computational modelling. The full complement of scientists in the Centre is expected to reach 150 together with around 50 dedicated support staff. Scientists joining the Centre will become part of UCL Neuroscience which brings together over 450 principal investigators located primarily within the UCL School of Life and Medical Sciences and offers extensive opportunities for interaction and collaboration. Neuroscience is a strategic priority for UCL as it positions itself to become the world’s leading neuroscience institution. The Centre will offer additional opportunities for collaboration, networking and intellectual stimulation through its visitor programme, regular seminar series and the hosting of world-class scientific conferences and workshops. Formal teaching commitments will be minimal allowing scientists to focus on their research. The Centre is recruiting high-achieving, highly-motivated collaborative scientists with backgrounds in neuroscience as well as related physical and biological sciences, at all career levels. We invite applications from outstanding, innovative scientists who can evidence the highest levels of academic excellence through substantial peer-reviewed publications and significant scientific achievement. Given the technologically- advanced research proposed for the Centre, we are particularly interested in scientists wishing to extend the boundaries of technological development in areas such as high-density electrophysiological probes, telemetry, optical recording, molecular and genetic tools, new anatomical mapping techniques, and the use of virtual reality and other novel behavioural approaches such as video image analysis. Recruitment will take place on a continuing ad hoc basis and at dedicated residential recruitment workshops. The first recruitment workshop has been scheduled for 3-4 November 2014 with a focus on Fellowship applications. Senior scientist interviews will be scheduled from November onwards. Competitive salaries, tailored research space and generous relocation and recruitment packages, including research support, will be offered. For further details about vacancies and how to apply online, please visit: http://www.ucl.ac.uk/swc/opportunities

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Tenure-track faculty position in computational cognitive neuroscience at Dartmouth
by James V. Haxby 23 Sep '14

23 Sep '14

********** Assistant Professor, Computational Cognitive Neuroscience: The Department of Psychological and Brain Sciences at Dartmouth College expects to make a tenure-track appointment at the rank of Assistant Professor (entry-level or advanced) in Computational Cognitive Neuroscience effective July 1, 2015. We seek an individual who is able to provide high-quality teaching at the undergraduate and graduate levels and who has exhibited excellence in independent research. We are interested in applicants who investigate how information is encoded in neural activity and who develop and use methods for decoding information from population responses and neural circuits. Our department has particular strength in Cognitive Neuroscience, Social Neuroscience, and Behavioral/Systems Neuroscience. We are particularly interested in applicants whose work focuses on high-level cognitive functions, such as, but not limited to, high-level vision and audition, attention, working memory, social cognition, and decision making. The department is housed in a state-of-the-art research and teaching facility that includes a dedicated 3T MRI scanner for brain imaging research and animal research facilities. Dartmouth also is home to the Neukom Institute for Computational Science, the Geisel School of Medicine, and the Thayer School of Engineering, which provide further opportunities for cross-disciplinary collaborations. With an even distribution of male and female students and over a third of the undergraduate student population from minority groups, Dartmouth is committed to diversity and encourages applications from women, minorities, veterans, and people with disabilities. Please submit an application including curriculum vita, a statement of research interests, pdf files of representative journal reprints or manuscripts, and contact information for three references. Applications should be submitted via http://apply.interfolio.com/25762. Questions can be addressed to James Haxby, Chair, Computational Cognitive Neuroscience Search Committee, by email (preferred; james.v.haxby(a)dartmouth.edu<mailto:james.v.haxby@dartmouth.edu>) or regular mail (Department of Psychological & Brain Sciences, 6207 Moore Hall, Hanover, NH 03755). Review of applications will begin in November and continue until the position is filled. ----------------------- James Haxby Director, Center for Cognitive Neuroscience Department of Psychological & Brain Sciences 6207 Moore Hall Dartmouth College Hanover, NH 03755 Professor Center for Mind/Brain Sciences - CIMeC University of Trento, Italy email: james.v.haxby(a)dartmouth.edu<mailto:james.v.haxby@dartmouth.edu>

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CFP: Special Issue on "Information Theoretic Incentives for Cognitive Systems"
by Keyan Ghazi-Zahedi 23 Sep '14

23 Sep '14

Dear Colleagues, we would like to draw your attention to the forthcoming special issue on "Information Theoretic Incentives for Cognitive Systems <http://www.mdpi.com/journal/entropy/special_issues/information-theoretic>" in the open access journal Entropy and invite you to contribute -- deadline February 28th, 2015. In recent years, ideas such as "life is information processing" or "information holds the key to understanding life" have become more common. However, how can information, or more formally Information Theory, increase our understanding of life, or life-like systems? Information Theory not only has a profound mathematical basis, but also typically provides an intuitive understanding of processes, such as learning, behavior and evolution terms of information processing. In this special issue, we are interested in both: a.) the information-theoretic formalization and quantification of different aspects of life, such as driving forces of learning and behavior generation, information flows between neurons, swarm members and social agents, and information theoretic aspects of evolution and adaptation and b.) the simulation and creation of life-like systems with previously identified principles and incentives. Topics with relation to artificial and natural systems: information theoretic intrinsic motivations information theoretic quantification of behavior information theoretic guidance of artificial evolution information theoretic guidance of self-organization information theoretic driving forces behind learning information theoretic driving forces behind behavior information theory in swarms information theory in social behavior information theory in evolution information theory in the brain information theory in system-environment distinction information theory in the perception action loop information theoretic definitions of life Christoph Salge Georg Martius Keyan Ghazi-Zahedi Daniel Polani - Guest Editors - Further Information: http://www.mdpi.com/journal/entropy/special_issues/information-theoretic With best wishes, Keyan Ghazi-Zahedi -- Keyan Ghazi-Zahedi, Dr. rer. nat. Information Theory of Cognitive Systems Max Planck Institute for Mathematics in the Sciences phone: (+49) 341 9959 545, fax: (+49) 341 9959 555, office A11

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job openings at Tufts university
by sepideh sadeghi 22 Sep '14

22 Sep '14

There are two tenure-stream faculty openings (research area: ML) at Tufts, department of Computer Science for Sep 15. There is also another opening for an interdisciplinary professorship (Computer Science, Psychology, Philosophy), intended to bridge research and education across departments and schools. More information can be found at http://www.cs.tufts.edu/Jobs/employment-opportunities.html. *Full Time Faculty* *Faculty Positions in Computer Science* The Department of Computer Science in the School of Engineering at Tufts University invites applications for two tenure-stream faculty appointments to begin in September 2015. We are looking for engaged and engaging researchers with a strong vision who can build and maintain a high-quality funded research program at Tufts. We are seeking candidates at the rank of Associate Professor or full Professor, although exceptional candidates at the rank of Assistant Professor will also be considered. We are particularly interested in researchers in the areas of machine learning and data mining broadly interpreted to include related fields where data and its analysis are central. These include, for example, adaptive systems in robotics, computational linguistics, computational sustainability, and visual analytics, as well as research involving interdisciplinary collaborations and applications in science, engineering and the humanities. Senior-level applicants should have an internationally renowned research program and a strong track record of outside funding. Junior-level applicants must hold a PhD in Computer Science or closely related field at time of appointment, and are expected to develop a high-quality funded research program. At all levels, candidates must have a strong commitment to undergraduate and graduate teaching and mentoring. The Department of Computer Science has grown tremendously in the past decade in faculty and student size and in research expenditures. Located in the Boston area, the department benefits from outstanding undergraduate and graduate students, collaborative faculty, and cross-disciplinary research opportunities. Tufts University is one of the smallest universities ranked as a Research 1 university, and it offers the best of a liberal arts college atmosphere, coupled with the intellectual and technological resources of a major research university. Tufts University supports and encourages a culture of interdisciplinary research and there are numerous such opportunities within the School of Engineering, the School of Arts and Sciences, and through graduate and professional schools. Tufts' School of Engineering distinguishes itself by the interdisciplinary focus and integrative nature of its engineering education within the intellectually rich environment of a research university. Located only six miles from historic downtown Boston, faculty members on the Tufts Medford/Somerville campus have extensive opportunities for academic and industrial collaboration as well as participation in the rich intellectual life of the area. The School of Engineering is in the midst of a period of exciting growth that has seen recruitment of outstanding new faculty, a quadrupling of funded research over the last ten years, addition of new laboratory space, an emphasis on building diversity in engineering, and major curricular initiatives at both the undergraduate and graduate levels. We request that applications include the following materials: (a) a curriculum vitae, (b) a statement describing current and planned research, (c) a statement of teaching philosophy, (d) names and affiliations of three to five potential references, and (e) a sample of scholarly work. All these should be submitted online through Academic Jobs Online <https://academicjobsonline.org/ajo/jobs/4533> (AJO). Reference letters will be solicited only with the candidate's explicit approval. Applicants have the option of providing such approval and asking for their letters to be submitted through AJO. Review of applications will begin December 8, 2014 and will continue until the positions are filled. For more information about the department, the positions, and the application procedure please visit http://www.cs.tufts.edu/. Inquiries should be emailed to cssearch(a)cs.tufts.edu . Tufts University is an Affirmative Action/Equal Opportunity employer. We are committed to increasing the diversity of our faculty. Members of underrepresented groups are strongly encouraged to apply. *Senior Faculty Position in Computer Science, Philosophy, and Psychology* The Departments of Computer Science <http://www.cs.tufts.edu/>, Philosophy <http://ase.tufts.edu/philosophy/>, and Psychology <http://ase.tufts.edu/psychology/> at Tufts University will make an appointment at the level of Associate or Full Professor as part of the Cognitive Science Ph.D. Program <http://cogsci.tufts.edu/>. This interdisciplinary professorship is the first of its kind at Tufts, intended to bridge research and education across departments and schools. We are looking for applications from well-established scholars who could contribute to the ongoing research and teaching mission of the Cognitive Science Ph.D. Program, while expanding the intellectual output and visibility of at least two participating departments. Teaching and service obligations will be shared between the host departments most fitting to the successful candidate. The successful candidate will have achieved international stature in a subfield in cognitive science, and would ideally have an established track record of obtaining external funding and advising Ph.D. students. Any research area in cognitive science that combines some aspects of computer science, philosophy, linguistics, and psychology will be considered, for instance, cognitive or agent-based modeling and simulation, computational pragmatics, and situated embodied cognition. Applications should include a curriculum vitae, a statement describing current and planned research, a statement of teaching philosophy, a writing sample, the names and affiliations of three to five potential references, and an e-mail address and phone number at which the candidate may be reached. Evidence of teaching experience and expertise is also welcome. All application materials should be submitted online throughInterfolio <http://apply.interfolio.com/24625>. Letters of recommendation will be solicited only with the candidate's explicit approval. Review of applications will begin in Spring 2014 and will continue until the position is filled. The Cognitive Science Ph.D. Program at Tufts was started in 2011 and currently enrolls over 20 students for joint degrees in cognitive science and one of the following Ph.D. granting departments: Child Development <http://ase.tufts.edu/epcd/>, Computer Science, or Psychology. The undergraduate major inCognitive and Brain Sciences <http://ase.tufts.edu/psychology/undergradConcCognitive.htm> was started in 2008; currently there are 62 majors. This bridge professorship is intended to enhance interdisciplinary research and collaboration in cognitive science at Tufts; the successful candidate will have the opportunity to engage research activity broadly at Tufts and to shape the future of both the graduate and the undergraduate programs. For more information about the programs, please visit the Cognitive Science <http://cogsci.tufts.edu/> departmental page. Inquiries about the position should be emailed to cogsci-search(a)tufts.edu . Tufts University is an Affirmative Action/Equal Opportunity employer. We are committed to increasing the diversity of our faculty. Members of under-represented groups are strongly encouraged to apply.

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Research Associate in Neuroscience, University of Leicester
by Atkinson, Sue 22 Sep '14

22 Sep '14

Dear Colleagues, We are recruiting for a Research Associate here at the Centre for Systems Neuroscience, University of Leicester. This position is supported by the Human Frontier Science Program and aims to investigate how the brain creates conceptual knowledge, bridging systems, cognitive and theoretical neuroscience. You will join an international research team, working alongside colleagues from Rockefeller University (Winrich Freiwald), The Hebrew University of Jerusalem (Haim Sompolinsky) and the International School for Advanced Studies (SISSA, Trieste; Mathew Diamond and Davide Zoccolan) studying cross-species (rats, monkeys and humans) comparisons of experimental data, complimented by computational modelling. You will work on the analysis and collection of multiple single neuron recordings in epileptic patients (which are implanted with intracranial electrodes for clinical reasons) performing different cognitive tasks, and contribute towards the study of concept cells (a.k.a. Jennifer Aniston neurons; see e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga; Nature Reviews Neuroscience 2012). You may also contribute to related projects using non-invasive scalp EEG recordings (e.g. Navajas et al, J. Neuroscience 2013) and/or electrophysiology and 2-photon imaging recordings in mice. You should have very good quantitative skills, a strong background in neuroscience and, ideally, a good experience with neurophysiology recordings. Informal enquiries are welcome and should be made to Sue Atkinson, Research Centre Manager, sam45(a)le.ac.uk or 0116 252 3249. Click on the link below (or copy and paste into your browser) here and search on the reference number SEN00514 for more information and to apply. http://www2.le.ac.uk/offices/jobs/opportunities/jobsearch Sue ------------------------------------------------------------------------------------- Susan Atkinson Centre Manager Centre for Systems Neuroscience, University of Leicester, 9 Salisbury Road, Leicester, LE1 7QR, UK T: +44 116 252 3249 E: sam45(a)le.ac.uk<mailto:sam45@le.ac.uk> W: http://www2.le.ac.uk/centres/csn [cid:image001.jpg@01CFD671.58BF8A30] Elite without being elitist Follow us on Twitter<https://twitter.com/uniofleicester> or visit our Facebook<http://www.facebook.com/uniofleicester> page

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on behalf of Wulfram Gerstner: New Textbook: Neuronal Dynamics - neurons, networks, cognition
by Reinoud Maex 20 Sep '14

20 Sep '14

Dear colleagues and students, we would like to announce the publication of a new textbook Neuronal Dynamics - from single neurons to networks and models of cognition Cambridge Univ. Press 2014 by W. Gerstner, W.K. Kistler, R. Naud and L. Paninski This text covers classical topics of computational neuroscience (Hodgkin-Huxley model, Integrate-and-fire model, Hopfield model, Competitive networks) together with modern developments in the field (Generalized Linear Models, Generalized Integrate-and-Fire models, Network dynamics, Neural fields, Decision Theory, STDP). For students: Worked-out examples and exercises are available for each chapter - plus a series of video lectures For lecturers: Teaching material in pdf or pptx format more info on: http://neuronaldynamics.epfl.ch/ We hope you will enjoy reading! best regards Wulfram Gerstner, Werner Kistler Liam Paninski, Richard Naud

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Two PhD positions in computational neuroscience at the Institute of Vision in Paris, France
by Angelo ARLEO 19 Sep '14

19 Sep '14

Two fully-funded PhD positions in Computational Neuroscience at the Institute of Vision in Paris, France Job description Applications are invited for two PhD positions in the Aging in Vision and Action laboratory at the Institute of Vision (INSERM-CNRS-University Pierre & Marie Curie) Paris, France. The gradual impairment of vision-dependent functions with age is at the core of our research. The main goal is to characterize how healthy visual aging shapes perceptual and cognitive functions in humans. PhD project n.1 The first PhD fellow will model age-related changes of low-level processing, coding and perception in the visual system.This project will be carried out under the supervision of Tim Masquelier & Angelo Arleo (Institute of Vision, Paris, France) and Simon Thorpe (Brain & Cognition Research Center, Toulouse, France). We will design a biologically detailed spiking neural network model of the primate early visual system. The model will have to process natural images and videos, and have self-learning capabilities. We will use this model to study the impact of healthy aging on visual processing and perception. The PhD student will work hand-in-hand with experimentalists in our Aging in Vision and Action lab performing visual psychophysics with elderly humans. We expect this project to bridge the gap between observations at the neuronal level (e.g. spontaneous activity increases, spike timing precision decreases with aging), and observations at the behavioral level (e.g. perceptual thresholds increase). PhD project n.2 The second PhD student will model age-related consequences on visual-based spatial cognition. This project will be carried under the supervision of Denis Sheynikhovich & Angelo Arleo (Institute of Vision, Paris, France) and Ricardo Chavarriaga (EPFL, Swiss Federal Institute of Technology Lausanne, Switzerland). We will build a spatial learning model based on spiking neural networks accounting for existing knowledge on the neural substrates of spatial memory and navigation in animals and humans. We will use this model to study the impact of healthy visual aging on neural coding and adaptation mechanisms mediating spatial orientation and navigation. The PhD student will work hand-in-hand with experimentalists in our Aging in Vision and Action lab studying spatial orientation and navigation in elderly humans. Again, this project aims at cross-linking findings at multiple organisation levels. Requirements Applicants should have a strong quantitative background (physics, engineering, computer science, applied mathematics), and a keen interest in reverse-engineering the brain. Knowledge on computational neuroscience, machine learning, image processing and programming languages (Matlab, C or Python) are a plus, although not mandatory. Proficiency in oral and written English is required. Knowledge of French is not mandatory. Successful candidates are expected to work in an interdisciplinary environment with collaborations with biologists, theoreticians and clinicians. They will be awarded a 3-year PhD fellowship from the University Pierre and Marie Curie Paris. Working environment and laboratory The Institute of Vision is one of the top international centers for integrated research on vision and eye diseases. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology. The Institute of Vision includes multidisciplinary research groups, which share state-of-the-art platforms for human and animal experimentation. It also harbors a clinical investigation center, which fosters truly translational research activity. More information can be found online (http://www.institut-vision.org) The Institute of Vision and Essilor International, world leader in ophthalmic optics, have recently supported the creation of the laboratory of Aging in Vision and Action. This new laboratory aims at evaluating and understanding the functional aspects of the degeneration mechanisms related to visual aging. This research has the potential to produce fundamental knowledge suited for opening to assistive technological developments and rehabilitation solutions. The faculty members of the Aging in Vision and Action laboratory, led by Angelo Arleo, are specialized in visual psychophysics, neurobiology of spatial orientation, neural coding, neurocomputational modeling, and preclinical evaluation. The group has access to a wide range of state-of-the-art platforms including eye trackers, motion capture rooms, virtual reality environments, brain imaging, artificial street labs and home labs (http://www.streetlab-vision.com/en/) How to apply Candidates should send a single pdf file containing a motivation letter, a full CV, and names and contact information of at least two referees, to angelo.arleo(a)inserm.fr. Short listed candidates will be contacted for an interview (either face-to-face or via videoconference). For further inquiries, please contact Angelo Arleo, angelo.arleo(a)inserm.fr, phone: +33 (0)1 53 46 26 52. Angelo ARLEO Institute of Vision, Aging in Vision and Action Lab, CNRS - INSERM - University Pierre&Marie Curie, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 89 89 07 23 email: angelo.arleo(a)inserm.fr; angelo.arleo(a)upmc.fr

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Educational video available
by Geoffrey Goodhill 19 Sep '14

19 Sep '14

Dear Computational Neuroscientists, Although it didn't win anything from the Society for Neuroscience, you might be interested in this entry for SFN's Brain Awareness Video contest, entitled "What has Maths got to do with the Brain?". It's a stop motion animation of dolls (representing high school students) discussing what subjects they should study next year: https://www.youtube.com/watch?v=7bEU1J-CN-U This was a collaboration between myself (scriptwriter) and my daughter (everything else, plus some script editing). Geoff 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<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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New tools for integrating biomarkers in NBT.
by Simon-Shlomo Poil 18 Sep '14

18 Sep '14

Dear comp-neuro List. We are happy to announce that a new version of the Neurophysiological Biomarker Toolbox (NBT-v0.5.0-alpha) is available. This version includes new tools for integrating multiple biomarkers. Please see more details here: http://l.nbtwiki.net/1uI628a The NBT toolbox (http://www.nbtwiki.net) is an open-source Matlab toolbox, which integrates easily with other toolboxes such as EEGlab and Fieldtrip. NBT provides a data processing pipeline, from raw data to final statistical analysis and visualization of M/EEG biomarkers combined with biomarkers from other modalities. The pipeline enables fast processing and the NBT data structure provides an intuitive and predictable interface for programming of advanced statistical analysis. Best regards, Simon-Shlomo Poil

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COSYNE2015: Meeting Announcement and Call for Abstracts
by Tomas Hromadka 18 Sep '14

18 Sep '14

================================================================== Computational and Systems Neuroscience (Cosyne) MAIN MEETING WORKSHOPS Mar 5 - Mar 8, 2015 Mar 9 - Mar 10, 2015 Salt Lake City, Utah Snowbird Ski Resort, Utah http://www.cosyne.org ================================================================== The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks are selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. Please note that the main Cosyne 2015 meeting will take place in a different venue (Hilton Salt Lake City Center) one week later than usual, see www.cosyne.org for details. IMPORTANT DATES: Abstract submission opens: 29 Sep 2014 Abstract submission deadline: 26 Nov 2014 CONFIRMED SPEAKERS: Amy Bastian (Johns Hopkins) Matteo Carandini (UCL) Sophie Deneve (ENS) Florian Engert (Harvard) Marla Feller (UC Berkeley) Wulfram Gerstner (EPFL) Shawn Lockery (U Oregon) Liam Paninski (Columbia) Nicole Rust (U Penn) Tatyana Sharpee (Salk) Mariano Sigman (UBA) Emo Todorov (U Washington) When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE: General Chairs: Michael Long (NYU) and Stephanie Palmer (U Chicago) Program Chairs: Maria Geffen (U Penn) and Konrad Körding (Northwestern) Workshop Chairs: Robert Froemke (NYU) and Claudia Clopath (Imperial College) Publicity Chair: Xaq Pitkow (Rice) EXECUTIVE COMMITTEE: Anne Churchland (CSHL) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT cosyne.meeting [at] gmail.com

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Postdoc opportunity at Stanford in Reward Processing and Reinforcement Learning
by Wei Wu 17 Sep '14

17 Sep '14

Postdoc opportunity at Stanford in Reward Processing and Reinforcement Learning (with application to TMS investigations and Transdiagnostic Imaging of Psychiatric Disorders) The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting applications for a postdoctoral research fellowship focused on reward processing and reinforcement learning using computational modeling and fMRI in healthy individuals and patients with a range of psychiatric disorders. The focus of this position is on understanding application of these methods to the study of emotional disorders, manipulation of relevant circuitry using TMS, and development of new approaches for understanding the mechanisms of emotion regulation in health and disease. The successful applicant will have a PhD in Cognitive Neuroscience, Neurophysiology, Psychology, Computer Science, Statistics or related fields. Experience with reward or reinforcement learning paradigms using fMRI or EEG, as well as computational modeling is strongly encouraged. Additional programming experience is a plus. A US Citizenship is also required. Duties will also include manuscript preparation, presentation of findings at conferences, management of research assistants and contribution to the preparation of grants. Laboratory and Stanford resources include research-dedicated 3T and 7T MRI scanners, concurrent TMS/fMRI setups and concurrent TMS/EEG setups. Salary commensurate with experience. More information about our ongoing studies can be found at: http://etkinlab.stanford.edu. To apply, please send a curriculum vitae, a statement describing research interests and relevant background and three letters of recommendations, as well as relevant reprints/preprints of research articles to: Amit Etkin, MD, PhD Department of Psychiatry and Behavioral Sciences Stanford University amitetkin(a)stanford.edu

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Postdoctoral fellow in multimodal neuroimaging of decision making
by Marios Philiastides 17 Sep '14

17 Sep '14

We are looking to appoint one postdoctoral fellow to make a leading contribution to an ESRC funded project on the neurobiology of human decision making using multimodal neuroimaging. The post will be based at the Institute of Neuroscience and Psychology (INP) at the University of Glasgow (ranked 2nd in the UK by the Guardian), which benefits from on-site access to the Centre for Cognitive Neuroimaging (CCNi). The CCNi is a research-dedicated facility within the INP and it is equipped with state-of-the art brain imaging facilities comprising a 3T fMRI scanner (Siemens Trio), an MEG system, and several TMS and EEG systems, including MR-compatible recording options. Our group uses multimodal neuroimaging coupled with mathematical modelling to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying human decision making. Our analysis methods are heavily inspired by machine learning and statistical pattern recognition and are designed to exploit trial-to-trial variability in electrophysiologically-derived measures that can be used in conjunction with simultaneously acquired fMRI to tease apart the cascade of constituent cortical and subcortical processes involved in decision making. The primary focus of the project will be to unravel the neural correlates of learning and confidence during decision making, which will form the basis for further development of brain computer interfaces (BCI) for human-machine interaction. The latter will take place in close collaboration with Prof. Paul Sajda’s team at Columbia University in New York with whom the selected candidate will have the opportunity to interact regularly. Candidates must have a PhD (or equivalent) in neuroscience, psychology, cognitive science or in a related discipline. Candidates must have previous practical experience and working knowledge of human neuroimaging (including both EEG and fMRI) as evident by a strong track record of publications in international journals. The post holder must also have working knowledge of multivariate data analysis techniques, excellent programming skills in Matlab and previous experience in using either fSL or SPM analysis software. Previous experience in simultaneous EEG/fMRI experiments and computational modelling is desirable. This post will be available from 5th January 2015 or as soon as possible thereafter for three years. Salary: Grade 7 £33,242 – £37,394 per annum. Informal enquiries may be addressed to Dr. Marios Philiastides at marios.philiastides(a)glasgow.ac.uk. Please note that applications sent directly to this email address will not be accepted. For more details on our research interests visit http://decision.ccni.gla.ac.uk. Apply online at www.glasgow.ac.uk/jobs (Ref: 009415) Closing date: 19 October 2014 -- Marios G. Philiastides, Ph.D. Associate Professor Institute of Neuroscience and Psychology Centre for Cognitive Neuroimaging University of Glasgow Glasgow, G12 8QB Web: http://decision.ccni.gla.ac.uk/ Email: marios.philiastides(a)glasgow.ac.uk

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CFP 5th International Conference on Cloud Computing and Services Science - CLOSER 2015
by calendarsites＠insticc.org 17 Sep '14

17 Sep '14

CALL FOR PAPERS 5th International Conference on Cloud Computing and Services Science - CLOSER 2015 Website: www.closer.scitevents.org May 20 22, 2015 Lisbon, Portugal Regular Papers Paper Submission: December 16, 2014 Authors Notification: March 11, 2015 Camera Ready and Registration: March 25, 2015 Position Papers Paper Submission: February 3, 2015 Authors Notification: March 12, 2015 Camera Ready and Registration: March 25, 2015 Workshops Workshop Proposal: January 8, 2015 Doctoral Consortium Paper Submission: March 13, 2015 Authors Notification: March 26, 2015 Camera Ready and Registration: April 8, 2015 Special Sessions Special Session Proposal: January 21, 2015 Tutorials, Demos and Panel Proposals March 20, 2015 Sponsored by: INSTICC Institute for Systems and Technologies of Information, Control and Communication INSTICC is Member of: WfMC Workflow Management Coalition OMG Object Management Group Logistics Partner: SCITEVENTS Science and Technology Events The 5th International Conference on Cloud Computing and Services Science, CLOSER 2015, focuses on the emerging area of Cloud Computing, inspired by some latest advances that concern the infrastructure, operations, and available services through the global network. Further, the conference considers as essential the link to Services Science, acknowledging the service-orientation in most current IT-driven collaborations. The conference is nevertheless not about the union of these two (already broad) fields, but about Cloud Computing where we are also interested in how Services Science can provide theory, methods and techniques to design, analyze, manage, market and study various aspects of Cloud Computing. KEYNOTE SPEAKERS CLOSER 2015 will have several invited keynote speakers, who are internationally recognized experts in their areas. Their names are not yet confirmed. PUBLICATIONS All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier). All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. It is planned to publish a short list of revised and extended versions of presented papers with Springer in a CCIS Series book (final approval pending). The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus. AWARDS The awards will be announced and bestowed at the conference closing session. Please check the website for further information: closer.scitevents.org/BestPaperAward.aspx CONFERENCE CHAIR Markus Helfert, Dublin City University, Ireland PROGRAM CO-CHAIRS Víctor Méndez Muñoz, Universitat Autònoma de Barcelona, UAB, Spain Donald Ferguson, Dell, United States CONFERENCE AREAS: Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. CLOUD COMPUTING FUNDAMENTALS 2. SERVICES SCIENCE FOUNDATION FOR CLOUD COMPUTING 3. CLOUD COMPUTING PLATFORMS AND APPLICATIONS 4. CLOUD COMPUTING ENABLING TECHNOLOGY 5. MOBILE CLOUD COMPUTING AND SERVICES AREA 1: CLOUD COMPUTING FUNDAMENTALS · Cloud Application Portability · Cloud Computing Architecture · Cloud Delivery Models · Cloud Deployment Models: Public/Private/Hybrid Cloud · Cloud Education · Cloud Interoperability · Cloud Risk, Challenges, and Governance · Cloud Scenarios · Cloud Standards · QoS for applications on clouds · Energy Management · Resource Management · Privacy, Security and Trust AREA 2: SERVICES SCIENCE FOUNDATION FOR CLOUD COMPUTING · Business Process Management and Web Services · Business Services Realized by IT Services · Cloud Brokering · Cloud Cost Analysis · Cloud Governance · Enterprise Architectures and Services · Federated Cloud · Human Beings in Service Systems · Industrial Applications of Services Science · Information and Service Economy · Internet of Services · Model-Driven Web Service Engineering · Semantic Web Technologies · Service Brokering · Service Composition and Mashups · Service Discovery · Service Innovation · Service Marketing and Management · Service Modeling and Specification · Service Monitoring and Control · Service Strategy · Service-Oriented Architecture · Services Security and Reliability · Web Services AREA 3: CLOUD COMPUTING PLATFORMS AND APPLICATIONS · Access Control · Application Data Migration · Big Data Cloud Services · Cloud Application Architectures · Cloud Application Scalability and Availability · Cloud Applications Performance and Monitoring · Cloud Economics · Cloud Middleware Frameworks · Cloudsourcing · Development Methods for Cloud Applications · XaaS · Cloud Services AREA 4: CLOUD COMPUTING ENABLING TECHNOLOGY · API Management · Cloud Abstraction of Composite IT Systems · Cloud Composition, Federation, Bridging, and Bursting · Cloud Ilities (Scalability, Availability,Reliability) · Cloud Optimization and Automation · Cloud Resource Virtualization and Composition · Virtual Infrastructure Management · VM Live Migration · Cloud Workload Profiling and Deployment Control · Distributed Management of Clouds · High Performance Cloud Computing · Metering, pricing, and software licensing · Monitoring of Services, Quality of Service, Service Level Agreements · Performance Development and Management · Programming Models, Systems, and Fault-Tolerant Computing · Security, Privacy, and Compliance Management · Troubleshooting and Best Practices · Virtualization Technologies AREA 5: MOBILE CLOUD COMPUTING AND SERVICES · Cloud-based mobile media systems and social networks · Engineering Mobile Clouds and Mobile-Based Systems · Location-based mobile cloud applications and services · Mobile cloud computing models, infrastructures, and approaches · Mobile Clouds for E-Commerce Services · Mobile multimedia content delivery, transferring, and migration · Mobile Reliability, Availability, Scalability and Performance · Pervasive Environments · Quality of service on mobile clouds and applications · Security Issues in Mobile Systems Software and Hardware · Smart mobile computing SaaS on clouds PROGRAM COMMITTEE http://closer.scitevents.org/ProgramCommittee.aspx Please check further details at the conference website closer.scitevents.org --- This email is free from viruses and malware because avast! Antivirus protection is active. http://www.avast.com

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MURI Winter School Jan. 2015 **Abstract submission deadline NOV. 7, 2014**
by Santamaria, Cookie 16 Sep '14

16 Sep '14

UCSD and the University of Chicago present: MURI WINTER SCHOOL 2015<http://biocircuits.ucsd.edu/special/winterschool2015> Dynamics of Multifunction Brain Networks Organizers: Henry Abarbanel (UCSD), Timothy Gentner (UCSD), and Daniel Margoliash (Univ. of Chicago) 15th Floor, Building 1, Village West<http://maps.ucsd.edu/mapping/viewer/default.htm?mkey=1&lc=open&km=open&rc=c…>, UC San Diego January 7-9, 2015 Registration deadline: Friday, December 5, 2014 Abstract submission deadline: Friday, November 7, 2014 Lecturers: Tim Gardner<http://www.bu.edu/biology/people/faculty/gardner/> (Boston University) – “TBA” Michael Long<http://longlab.med.nyu.edu/> (New York University) – “How does the brain generate behavioral sequences?” Gabriel Mindlin<http://www.lsd.df.uba.ar/> (University of Buenos Aires) – “The biomechanics of birdsong production” and “Low dimensional dynamics systems behind birdsong production” Richard Mooney<http://www.mooneylab.com/> (Duke University) – “Neurobiology of vocal learning” and “Forward mechanisms for hearing and learning” Marc Schmidt<http://www.bio.upenn.edu/people/marc-schmidt> (University of Pennsylvania) – “Brainstem and forebrain contributions to the generation of learned motor” Ofer Tchernichovski<http://ofer.sci.ccny.cuny.edu/> (Hunter College) – “Vocal learning beyond imitation: from cultural evolution to brain dopamine” and “How a song is learned: mechanisms of template matching” ________________________________________________________________________________ This is the third annual Winter School sponsored by the U.S. Office of Naval Research as part of its UCSD/Chicago MURI program in Dynamics of Multifunction Brain Networks. This year’s School presents a series of pedagogical and research oriented talks on the use of birdsong as a model system where theory and experiment can meet productively. It includes a series of pedagogical presentations and a poster session. The School is intended for all researchers, including advanced graduate students, interested in the general area of understanding functional nervous systems. Active participation during the School's lectures is strongly encouraged. All attendees are invited to submit abstracts for poster presentations. Selected contributed posters will be highlighted in an oral session. Registration is required for attendance, but there is no fee for attending. A limited number of travel awards are available for exceptionally qualified graduate students and postdocs, who should apply and have their supervisor send a letter of reference, via email, to muri.winter.school(a)gmail.com<mailto:muri.winter.school@gmail.com>. Please visit us online to register and for details regarding the schedule and poster abstract submission: http://biocircuits.ucsd.edu/special/winterschool2015

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Graduate student position in computational cognitive neuroscience
by Sebastien Helie 15 Sep '14

15 Sep '14

Dear Modelers, Dr. Sebastien Helie is looking for new graduate students interested in the Mathematical and Computational Cognitive Science (MCCS) program to join the Purdue Laboratory for Computational Cognitive Neuroscience in Fall 2015. The Purdue Laboratory for Computational Cognitive Neuroscience is affiliated with the Department of Psychological Sciences at Purdue University, which is consistently ranked among the top 50 in the US. The Purdue Laboratory for Computational Cognitive Neuroscience uses different methodologies from cognitive psychology, neuroimaging, and computational modeling to study the relation between the brain and cognitive processing. The goal of the Purdue Laboratory for Computational Cognitive Neuroscience is to use empirical and computational methods to better understand categorization, automaticity, rule learning, sequence learning, skill acquisition, and intuition in decision-making. You can find more information about the Department of Psychological Sciences @ Purdue University here: http://www.purdue.edu/hhs/psy/ You can find more information about the Mathematical and Computational Cognitive Science (MCCS) program here: http://www.purdue.edu/hhs/psy/graduate/research_training_areas/mathematical… You can find more information about The Purdue Laboratory for Computational Cognitive Neuroscience program here: http://ccn.psych.purdue.edu/index.html Interested students should contact Dr. Helie at shelie(a)purdue.edu. -- ----------------------------------- Sebastien Helie, Ph.D. Assistant Professor Department of Psychological Sciences Purdue University 703 Third Street West Lafayette, IN 47907-2081 -- Office: Peirce Hall, Room 359 Phone: (765) 496-2692 E-mail: shelie(a)purdue.edu Website: http://ccn.psych.purdue.edu/ ------------------------------------

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Faculty Position in Neuroscience, NYU-Shanghai
by Echo Wang 15 Sep '14

15 Sep '14

*FACULTY POSITION* *Neuroscience**NYU Shanghai* Shanghai New York University (NYU Shanghai) invites applications for several assistant (tenure-track), associate (tenured), and full professor (tenured) positions from candidates with research programs in systems, computational, and cognitive neuroscience. The recruited faculty will also become members of a new neuroscience research institute, with the primary goal of understanding the mechanisms by which neural circuits in the brain generate cognition and flexible behavior. Neuroscientists at NYU Shanghai will also have the opportunity to interact and collaborate with researchers in Economics, Mathematics, Data Science and Engineering. Candidates must have completed a Ph.D. or equivalent by the time of application. The successful candidates will be expected to develop an independent, extramurally-funded research program, play a key role in the growth of the new Neuroscience Institute, and to teach in NYU Shanghai. Applications should be submitted by January 1, 2014 for appointments to begin as early as July 2014. NYU Shanghai is the first Sino-US higher education joint venture to grant a degree that is accredited in the US as well as in China. A research university with liberal arts and sciences at its core, NYU Shanghai resides in one of the world's great cities, which is also a vibrant intellectual community (http://shanghai.nyu.edu/) New York University has established itself as a Global Network University, with three degree granting campuses - New York, Shanghai, and Abu Dhabi - complemented by 12 additional academic centers across five continents. NYU Shanghai faculty may spend time at NYU New York and other sites of NYU’s global network engaging in both research and teaching. NYU Shanghai faculty will also have the opportunity to be affiliated with the Center for Neural Science, the Neuroscience Institute of the NYU School of Medicine, the Department of Psychology, and/or with other suitable academic units at NYU New York. The terms of employment in NYU Shanghai are comparable to U.S. institutions in terms of research startup funds and compensation, and include housing and educational subsidies for children. Applicants should submit a curriculum vitae, a statement of research and teaching interests, electronic copies of up to three recent relevant publications, and the names and addresses of three or more individuals willing to provide letters of reference. Please visit our website at http://shanghai.nyu.edu/about/open-positions for instructions and other information on how to apply. If you have any questions, please e-mail shanghai.faculty.recruitment(a)nyu.edu . NYU-Shanghai is an Equal Opportunity/Affirmative Action Employer.

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Faculty Position in Computational Neuroscience at the University of California, Irvine
by Jeff Krichmar 14 Sep '14

14 Sep '14

Dear Computational Neuroscientists, The following job position may be of interest to many of you. ************************** University of California, Irvine Faculty Position in Computational Neuroscience The Department of Cognitive Sciences (www.cogsci.uci.edu) at the University of California, Irvine (UCI) invites applications for a faculty position at the Associate or Full Professor level. We are especially interested in candidates who use mathematical, computational, or robotics approaches to study the neural basis of cognition in any of these areas: (1) vision, hearing, and attention; (2) memory and decision-making; (3) learning and development; (4) language. Applicants whose research relates to human behavior are preferred. A strong record of publications and extramural funding is essential. Exceptional candidates at the Assistant Professor level will also be considered. The online application includes: A cover letter, CV, research and teaching statements, 3 recent publications, and contact information for 3-5 referees. Interested candidates can apply for the position at: https://recruit.ap.uci.edu/apply/JPF02452. To ensure full consideration, please complete the application by November 15, 2014. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer committed to excellence through diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. ************************** Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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postdoctoral position in Systems Neuroscience at the University of Pennsylvania
by Maria Geffen 12 Sep '14

12 Sep '14

POSTDOCTORAL POSITION IN SYSTEMS NEUROSCIENCE University of Pennsylvania, Philadelphia PA A postdoctoral position is available in the Laboratory of Auditory Coding under direction of Dr. Maria Neimark Geffen at the University of Pennsylvania School of Medicine to study the neural mechanisms of hearing and emotional learning in the auditory cortex of awake rodents. We invite applications from talented, energetic and enthusiastic candidates with (or expecting) a Ph.D. in life sciences. The techniques include electrophysiological recordings, imaging and optogenetics in awake behaving rodents. Experience in either electrophysiology, imaging or behavioral studies is required. Computational skills are a plus. Please visit http://www.med.upenn.edu/hearing for more information. Our laboratory is part of the Hearing Sciences Center a at the Department of Otorhinolaryngology, Department of Neuroscience and the Mahoney Institute of Neurological Sciences. University of Pennsylvania has a very interactive and diverse systems neuroscience community. The University of Pennsylvania is within walking distance of the downtown of Philadelphia, which provides for a vibrant cultural urban environment. Please submit your application, including a CV, a brief statement of past and future research interests, links to recent publications, and recommendation letters (a letter from Ph.D. advisor is required) to Dr. Maria Neimark Geffen at mgeffen(a)med.upenn.edu .

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Henry Rutgers Term Chair in Computer and Data Science
by Bart Krekelberg 11 Sep '14

11 Sep '14

Rutgers University - Newark (RU-N) seeks outstanding candidates to serve as Henry Rutgers Term Chair in Computer and Data Science, with a specific focus on computational methods in machine learning, or statistical modeling of complex data sets in the sciences, engineering, business, or medical fields. Recruitment is at the associate professor level; however, exceptional candidates qualifying for the full professor rank may be considered. This recruitment is part of the Rutgers University Strategic Plan to strengthen Rutgers leadership in burgeoning fields, and part of the new transdisciplinary research Institute for Data Science, Learning, and Applications (I-DSLA). I-DSLA brings together computer scientists, cognitive scientists, philosophers, and domain experts in neuroscience, environmental science, chemistry, medicine, business, and other professions. The new hire will be poised to leverage these experts as well as a new high performance computing cluster on the RU-N campus, to advance knowledge about learning from data. Applicants should hold a Ph.D. in Computer Science, Computational Statistics, or a related field and have a record of excellent scholarship, as demonstrated by significant publications and funding. They should be open to collaborative research within the RU-N community and will be expected to help build a group of faculty in areas related to I-DSLA, maintain an active externally-funded research program, teach undergraduate and graduate courses, and mentor Ph.D. students. Rutgers, The State University of New Jersey, is a leading national public research university and the state's preeminent, comprehensive public institution of higher education. Rutgers, the State University of New Jersey, is an Equal Opportunity / Affirmative Action Employer. Qualified applicants will be considered for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, genetic information, protected veteran status, military service or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. Applicants should apply no later than November 1st, 2014. To receive detailed instructions on how to apply, please email hrsearch(a)rutgers.edu with the subject line 'How to apply'. --- Bart Krekelberg, PhD Associate Director, Center for Molecular and Behavioral and Neuroscience Associate Director, Rutgers Brain Imaging Center Associate Professor, Rutgers University Newark, NJ 07102 USA T: 973 353 3602 W: vision.rutgers.edu E: bart(a)vision.rutgers.edu

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Postdoctoral position available in the Niv Lab at Princeton
by Yael Niv 11 Sep '14

11 Sep '14

A postdoctoral position is available in the lab of Dr. Yael Niv in the Princeton Neuroscience Institute and the Department of Psychology at Princeton University (http://www.princeton.edu/~nivlab) for a collaborative project with the lab of Geoffrey Schoenbaum at NIDA. Research in the Niv lab focuses on computational modeling of learning and decision making at the systems level (reinforcement learning, Bayesian inference), and model-driven behavioral and functional imaging experiments of human learning and decision making. Research in the Schoenbaum lab utilizes rodent models to study learning and decision making, as well as addiction. We seek an exceptionally talented candidate who is intensely interested in understanding decision making and addiction, has proven experience in empirical investigations of learning and decision making (and corresponding task design), has expertise in computer programming and modeling, and has a keen interest in reinforcement learning and normative models of behavior. Background in studies of addiction, functional imaging and/or rodent work is an advantage. Anticipated start date is January 2015 though there is considerable flexibility. This is a one-year position with the possibility of renewal, pending satisfactory performance. Essential Qualifications: PhD in psychology, neuroscience or equivalent. Proven experience with computer programming. Preferred Qualifications: The ideal candidate will have robust experience with fMRI (event related designs and model-based analysis techniques) or with studies of rodent decision making (Pavlovian and instrumental conditioning), will be proficient in programming (Matlab or equivalent), and will have experience with computational modeling (machine learning, reinforcement learning, Bayesian models). To apply, please visit the website https://jobs.princeton.edu (requisition # 1400567) and create an online application. Applicants must submit a cover letter stating background and research interests and citations of at least two representative publications, a CV, and contact information for at least two references. Princeton University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the University’s background check policy.

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