- Comp-neuro - lists.cnsorg.org

AES Seizure Prediction Challenge
by Levin Kuhlmann 27 Aug '14

27 Aug '14

Posted by Levin Kuhlmann on behalf of Ben Brinkmann Dear Colleagues, We had a phenomenal response to the Seizure Detection challenge (hosted through Kaggle.com<http://kaggle.com/>), which closed last week with 205 teams participating. We would like to call to your attention the AES Seizure Prediction challenge on Kaggle, which is now open to competitors at https://www.kaggle.com/c/seizure-prediction/. There is $USD 20,000 in prize money up for grabs! Sincerely, Ben =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- Benjamin H. Brinkmann, PhD Mayo Systems Electrophysiology Lab Alfred 9-441C, SMH 1216 Second St. SW Rochester, MN 55902 (507)538-5719 http://scholar.google.com/citations?user=ax95gtwAAAAJ&hl=en ________________________________

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A mailing list for Computational Glioscience
by Hugues Berry 26 Aug '14

26 Aug '14

Dear colleagues, A spinoff of the recent OCNS workshop on the modelling of glia-neuron interactions, we have started a new mailing list. It is intended to share items of interest (new results, papers, events, trainings, jobs...) to the computational glioscience community, i.e. researchers implicated in the modelling and simulation of glial cells at large (astrocytes, microglia, oligodendrocytes, Schwann cells...) and their interactions with neurons. To subscribe, send an email to : sympa(a)inria.fr with the following Subject: subscribe comput-gliosci your_name Sincerely yours Maurizio De Pitta' Hugues Berry -------------------------------------------------------------------------------- Maurizio De Pitta' - https://sites.google.com/site/mauriziodepitta Hugues Berry - http://www.inrialpes.fr/Berry -------------------------------------------------------------------------------- Project-Team BEAGLE INRIA Rhone-Alpes Université de Lyon LIRIS UMR5205 Antenne INRIA de La Doua Batiment CEI-1 66 Blvd Niels Bohr CS 52132 69603 Villeurbanne cedex France

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Neural Circuits and Behavior Faculty Position
by Olaf Sporns 26 Aug '14

26 Aug '14

NEURAL CIRCUITS AND BEHAVIOR FACULTY POSITION, INDIANA UNIVERSITY: The Department of Psychological and Brain Sciences at Indiana University -- Bloomington seeks to fill a faculty position at the level of Assistant Professor (tenure-track) to begin August 2015. Applicants for this position must have a doctorate, a strong record of publication, and the potential for research funding. The applicant's research should focus on using innovative experimental techniques in animal models to understand mechanisms and causal relationships between neural circuit activity and ethologically relevant behavior. We seek cutting-edge integration between new and emerging capabilities for large scale recording and/or manipulation of circuits combined with sophisticated analysis of large-scale data. Examples of behaviors of interest include those related to learning and memory, perception, decision making, reward, timing, pain, adaptation to stress, and developmental processes. Experimental techniques include various methods for recording and manipulating neural circuits at single-cell resolution, including multi-electrode recordings, imaging of circuit activity, and optogenetics. Candidates using circuit-based approaches to study preclinical models of schizophrenia, autism, and other difficult to treat psychiatric diseases are encouraged to apply. The successful candidate is expected to assemble a vibrant, externally-funded research program and to achieve excellence in both undergraduate and graduate education. Indiana University is in the midst of a multi-year initiative to build excellence in network science, and it is anticipated that the candidate's research will both benefit from, and contribute to the initiative's computational neuroscience components. To apply, please include a curriculum vita, copies of representative publications, statements of research and teaching interests, and three (3) letters of recommendation. Interested candidates should review the application requirements and submit their application at: https://indiana.peopleadmin.com. Questions regarding the position or application process can be directed to: William P. Hetrick, Ph.D., Professor and Chair, Department of Psychology and Brain Sciences, 1101 E. 10th St., Indiana University, Bloomington, IN 47405 or via email at whetrick(a)indiana.edu <mailto:whetrick@indiana.edu>. Review of all applications will begin on November 1, 2014 and will continue until the position is filled. Indiana University is an equal opportunity employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, disability status or protected veteran status. Information about the department and the university is available at *http://psych.indiana.edu/faculty/opportunities.asp * * * -- Olaf Sporns -- @spornslab Department of Psychological and Brain Sciences Programs in Neuroscience and Cognitive Science Indiana University Bloomington, IN 47405

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CFP: MLINI 2014 - 4th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner
by Irina Rish 25 Aug '14

25 Aug '14

Call for Papers MLINI 2014 - 4th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner https://sites.google.com/site/mlininips2014/ Friday, December 12, 2014, Montreal, Quebec, Canada Submission deadline: October 10th, 2014 Workshop Overview: ----------------------- MLINI workshop focuses on machine learning approaches in neuroscience, neuroimaging, with an extension to behavioral experiments and psychology. This year, our focus is specifically on "Going Beyond the Scanner", which includes making inferences about mental states of a subject from ''cheaper'' (as opposed to fMRI) behavioral data such as subject's speech and/or text, audio, video, EEG and signals collected from various wearable devices. We believe that machine learning has a prominent role in shaping how questions in neuroscience are framed, and that the machine-learning mind set is now entering modern psychology and behavioral studies. It is also equally important that practical applications in these fields motivate a rapidly evolving line or research in the machine learning community. In parallel, there is an intense interest in learning more about brain function in the context of rich naturalistic environments and scenes. Efforts to go beyond highly specific paradigms that pinpoint a single function, towards schemes for measuring the interaction with natural and more varied scene are made. In this context, many controversies and open questions exist. The goal of the workshop is to pinpoint the most pressing issues and common challenges across the fields, and to sketch future directions and open questions in the light of novel methodology. The proposed workshop is aimed at offering a forum that joins machine learning, neuroscience, and psychology community, and should facilitate formulating and discussing the issues at their interface. Motivated by the previous workshops in this series, MLINI ‘11, MLINI’12, and MLINI’13, we will center this workshop around invited talks and a panel discussion. Triggered by the discussions, this year we plan to adapt the workshop topics to a less traditional scope neuroimaging scope and investigate the role of behavioral models and psychology, including topics such as psycholinguistics. Open questions and possible topics for contribution include, but are not limited to, the following: - How can we move towards more naturalistic stimuli, tasks and paradigms in neuroimaging and neuro-signal analysis? - What kind of mental states can be inferred from cheaper and easier to collect data sources (as an alternative to fMRI), such as text, speech, audio, video, EEG, and wearable devices? - How can we leave the lab when acquiring neuroimaging data, towards exploiting mobile acquisition (EEG and NIRS)? - What type of features should be extracted from naturalistic stimuli such as text, voice, etc., to detect specific mental states and/or mental disorders? - How can we combine traditional neuroimaging with naturalistic data collected from a subject or group of subjects? - In general, can we characterize situations when multivariate predictive analysis (MVPA) and inference methods are better suited for brain imaging analysis than more traditional techniques? - Given recent advances of deep learning in image analysis and other applications, a natural question to ask is whether neuroimaging analysis can benefit from such approaches? - How well can functional networks and dynamical models capture the brain activity, and when using network and dynamics information is superior to standard task-based brain activations? Workshop Format: -------------------------- In this one-day workshop we will explore perspectives and novel methodology at the interface of Machine Learning, Inference, Neuroimaging and Neuroscience. We aim to bring researchers from machine learning and neuroscience community together, in order to discuss open questions, identify the core points for a number of the controversial issues, and eventually propose approaches to solving those issues. Each session will be opened by several invited talks, and an in depth discussion. This will be followed by original contributions. Original contributions will also be presented and discussed during a poster session. The workshop will end with a panel discussion, during which we will address specific questions, and invited speakers will open each segment with a brief presentation of their opinion. Paper Submission: -------------------------- We seek for submission of original (previously unpublished) research papers. The length of the submitted papers should not exceed 8 pages in Springer format, excluding the references (LaTeX2e style files are available on the workshop page). Submission of previously published work is possible as well, but the authors are required to mention this explicitly. Previously published work can be presented at the workshop, but will not be included into the workshop proceedings (which are considered peer-reviewed publications of novel contributions). Moreover, the authors are welcome to present their novel work but choose to opt out of the workshop proceedings in case they have alternative publication plans. Important dates: -------------------------- - October 10, 2014 - paper submission - October 24, 2014 - notification of acceptance/rejection - December 12, 2014 - Workshop at Montreal, Quebec, Canada , following the NIPS conference Organizing Committee: -------------------------- Guillermo Cecchi (IBM T.J. Watson Research Center) Kai-min Kevin Chang (Language Technologies Institute, Carnegie Mellon University) Georg Langs (Medical University of Vienna, CSAIL, MIT) Brian Murphy (Machine Learning Department, Carngie Mellon University) *Irina Rish (IBM T.J. Watson Research Center) - main contact Leila Wehbe (CMU)

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First release of VERTEX cortical tissue LFP simulator
by Marcus Kaiser 25 Aug '14

25 Aug '14

Dear colleagues, Many of you may be interested the first release of our VERTEX simulator for biologically realistic models of *primate* cortical tissue. The Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX) is a Matlab tool for simulating extracellular potential recordings in spiking neural network (SNN) models. As a first application, our model allows us to reproduce temporal and spatial gamma oscillation features of in vitro MEA recordings of macaque cortex using more than 100,000 model neurons. However, adapting the code to other species or tissue types is also possible in the future (see FAQ on our website). VERTEX 1.0 Release Features - VERTEX simulator allows large simulations (> 100 000 neurons) on single computers - *In silico* neuronal network model of an *in vitro* brain slice recording - Realistic local field potential recording with “virtual electrodes” at any 3D point - Direct comparisons between simulated and experimentally observed tissue Software, a two-minute introductory video, tutorials, manuals, and a FAQ can be found at: http://www.vertexsimulator.org/ This release is in conjunction with our publication: Tomsett RJ, Ainsworth M, Thiele A, Sanayei M, Chen X, Gieselmann A, Whittington MA, Cunningham MO, Kaiser M. Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): Comparing multi-electrode recordings from simulated and biological mammalian cortical tissue. Brain Structure and Function (in press) http://dx.doi.org/10.1007/s00429–014–0793-x <http://dx.doi.org/10.1007/s00429-014-0793-x> Best, Marcus -- 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.dynamic-connectome.org/ Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/ -- Best, Marcus -- 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. <http://www.biological-networks.org/>dynamic-connectome.org <http://www.dynamic-connectome.org/> Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/

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Research Scientist Computational Neuroscience Position in Toronto
by Frances Skinner 23 Aug '14

23 Aug '14

Computational Neuroscience Research Scientist Position The Toronto Western Research Institute of the University Health Network invites applicants to apply for a Scientist position in the area of Computational Neuroscience. The ideal candidate will have a PhD in a relevant field, have research experience and expertise in mathematical and computational modeling techniques, and research interests that complement those of the Institute in “Degenerative Disorders of Aging”. Candidates whose research interests encompass modeling at multiple levels (molecular, cellular, network, systems), and who have experimental and/or collaborative experimental experience are especially encouraged. The successful candidate will have the ability to establish an independent, well-funded program and will be eligible for appointment at the appropriate level within the University of Toronto. Applications must be emailed by October 19th, 2014 and should include: 1) CV, 2) Statement of research interests, and 3) Contact information (including email) for three referees Reply, by email only, and in confidence to: TWRIrecruitment(a)uhnresearch.ca with subject line: CompNeuro University Health Network thanks all applicants, however, only those selected for an interview will be contacted. -- Frances Skinner, PhD TWRI/UHN and Univ Toronto www.skinnerlab.org

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JOURNAL OF INTEGRATIVE NEUROSCIENCE
by Roman Poznanski 23 Aug '14

23 Aug '14

JOURNAL OF INTEGRATIVE NEUROSCIENCE Volume 13, No.3, September 2014 http://www.worldscinet.com/jin 1. Theoretical predications of the effects of temperature on simulated adaptive processes in human motor nerve axons at 20°C–42°C D. I. Stephanova<http://www.worldscientific.com/action/doSearch?Contrib=Stephanova%2C+D+I>, M. Daskalova<http://www.worldscientific.com/action/doSearch?Contrib=Daskalova%2C+M> DOI: 10.1142/S0219635214500162 2. Motor afferents from the cerebellum, zona incerta and substantia nigra to the mediodorsal thalamic nucleus in the rat Safiye Çavdar<http://www.worldscientific.com/action/doSearch?Contrib=%C3%87avdar%2C+S>, Merve Özgür<http://www.worldscientific.com/action/doSearch?Contrib=%C3%96zg%C3%BCr%2C+M>, Sanem Pınar Uysal<http://www.worldscientific.com/action/doSearch?Contrib=Uysal%2C+S+P>, Özge Ceren Amuk<http://www.worldscientific.com/action/doSearch?Contrib=Amuk%2C+%C3%96+C> DOI: 10.1142/S0219635214500198 3. An ERP study of simple addition: The semantics and syntax of arithmetic operation signs Shelley Shaul<http://www.worldscientific.com/action/doSearch?Contrib=Shaul%2C+S>, Pearla Nesher<http://www.worldscientific.com/action/doSearch?Contrib=Nesher%2C+P> DOI: 10.1142/S0219635214500186 4. The role of featural processing in other-race face classification advantage: An ERP study Zhenhua Liu<http://www.worldscientific.com/action/doSearch?Contrib=Liu%2C+Z>, Qinghua Zhang<http://www.worldscientific.com/action/doSearch?Contrib=Zhang%2C+Q>, Yan Li<http://www.worldscientific.com/action/doSearch?Contrib=Li%2C+Y>, Yifeng Du<http://www.worldscientific.com/action/doSearch?Contrib=Du%2C+Y>, Wei Dong<http://www.worldscientific.com/action/doSearch?Contrib=Dong%2C+W>, Lun Zhao<http://www.worldscientific.com/action/doSearch?Contrib=Zhao%2C+L> DOI: 10.1142/S0219635214500125 5. fMRI evidence for dissociation between priming and conscious recognition M. S. Korsnes<http://www.worldscientific.com/action/doSearch?Contrib=Korsnes%2C+M+S>, S. J. Magnussen<http://www.worldscientific.com/action/doSearch?Contrib=Magnussen%2C+S+J> DOI: 10.1142/S0219635214500149 6. Visual MMN elicited by orientation changes of faces Wei Wang<http://www.worldscientific.com/action/doSearch?Contrib=Wang%2C+W>, Danmin Miao<http://www.worldscientific.com/action/doSearch?Contrib=Miao%2C+D>, Lun Zhao<http://www.worldscientific.com/action/doSearch?Contrib=Zhao%2C+L> DOI: 10.1142/S0219635214500137 7. MEG localization of spike sources in human patients with brain tumors T. Birbilis<http://www.worldscientific.com/action/doSearch?Contrib=Birbilis%2C+T>, P. Anninos<http://www.worldscientific.com/action/doSearch?Contrib=Anninos%2C+P>, I. Seimenis<http://www.worldscientific.com/action/doSearch?Contrib=Seimenis%2C+I>, A. Adamopoulos<http://www.worldscientific.com/action/doSearch?Contrib=Adamopoulos%2C+A>, A. Kotini<http://www.worldscientific.com/action/doSearch?Contrib=Kotini%2C+A> DOI: 10.1142/S0219635214500150 8. Effects of temperature on simulated electrotonic potentials and their current kinetics of human motor axons at 20°C–42°C D. I. Stephanova<http://www.worldscientific.com/action/doSearch?Contrib=Stephanova%2C+D+I>, M. Daskalova<http://www.worldscientific.com/action/doSearch?Contrib=Daskalova%2C+M> DOI: 10.1142/S0219635214500095 9. Color properties of the motion detectors projecting to the goldfish tectum: I. A color matching study Vadim Maximov<http://www.worldscientific.com/action/doSearch?Contrib=Maximov%2C+V>, Elena Maximova<http://www.worldscientific.com/action/doSearch?Contrib=Maximova%2C+E>, Ilija Damjanović<http://www.worldscientific.com/action/doSearch?Contrib=Damjanovi%C4%87%2C+I>, Paul Maximov<http://www.worldscientific.com/action/doSearch?Contrib=Maximov%2C+P> DOI: 10.1142/S0219635214500113 10. Neural mechanisms underlying conflict monitoring over risky decision alternatives: Evidence from ERP in a Go/Nogo task Shuzhen Wang<http://www.worldscientific.com/action/doSearch?Contrib=Wang%2C+S>, Ning Hui<http://www.worldscientific.com/action/doSearch?Contrib=Hui%2C+N>, Xinsheng Zhou<http://www.worldscientific.com/action/doSearch?Contrib=Zhou%2C+X>, Kaifeng He<http://www.worldscientific.com/action/doSearch?Contrib=He%2C+K>, Yuanyuan Yu<http://www.worldscientific.com/action/doSearch?Contrib=Yu%2C+Y>, Jing Shuai<http://www.worldscientific.com/action/doSearch?Contrib=Shuai%2C+J> DOI: 10.1142/S0219635214500101 "The only journal that combines mathematical neuroscience and experimental brain research for the advancement of a well-grounded theoretical neuroscience." --Gilbert A. Chauvet, Chief Editor, Journal of Integrative Neuroscience, 2002-2007 Indexed in: Index Medicus MEDLINE PubMed Biosis Previews Biological Abstracts INSPEC Science Citation Index Expanded ------- Roman R. Poznanski Professor Laboratory of Biological Modeling The Rockefeller University 1230 York Avenue New York, NY 10065-6399 Office: (212) 327-7646 E-mail: rpoznanski(a)rockefeller.edu http://romanpoznanski.blogspot.com and Chief-Editor, Journal of Integrative Neuroscience http://www.worldscinet.com/jin/mkt/editorial.shtml

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MSc program in Neural Systems and Computation - University of Zurich and ETH Zurich
by Michael Pfeiffer 22 Aug '14

22 Aug '14

We are inviting applications for the MSc program in Neural Systems and Computation, an interdisciplinary program offered as a Joint Master Program by the University of Zurich and ETH Zurich, Switzerland. The program offers a theoretical and laboratory training in neural computation and systems neuroscience. It offers hands-on knowledge of data gathering, analysis and scientific presentation. Students join an international and interdisciplinary research community with expertise in neuroinformatics, advanced experimental techniques and neuromorphic engineering. Further information can be found on our homepage http://www.nsc.uzh.ch. We offer a specialized full-time Masters program open to students with a Bachelor’s degree in the following disciplines: neurosciences, information technology, electrical engineering, biology, physics, computer sciences, chemistry, mathematics, and mechanical/chemical/control engineering. The core courses (all offered in English) provide a common foundation for students with different educational backgrounds, and cover the following: 1. Systems Neurosciences 2. Neural Computation and Theoretical Neuroscience 3. Neurotechnologies and Neuromorphic Engineering The application deadline for students starting in Spring Semester 2015 is *September 15th 2014*. Details about the application process and required documents can be found here: http://www.nsc.uzh.ch/?page_id=10 The program is affiliated with the Mathematics and Natural Sciences Faculty (MNF) at the University of Zurich (UZH) and the Information Technology and Electrical Engineering Department (D-ITET) of the ETH Zurich. All applications are handled by the University of Zurich. Application documents should be sent to nsc(a)ini.uzh.ch. Michael Pfeiffer -- ========================================= Dr. Michael Pfeiffer Postdoc, Director of Studies NSC Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 CH-8057 Zurich, Switzerland Tel. +41 44 635 30 45 Fax +41 44 635 30 53 pfeiffer (at) ini.phys.ethz.ch http://www.ini.uzh.ch/~pfeiffer/ =========================================

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PhD position available at VU University Medical Center in Amsterdam
by Andre Marquand 21 Aug '14

21 Aug '14

Please see below for a PhD Vacancy at the VU University Medical Centre in Amsterdam for employing pattern recognition methods for neuroimaging data analysis. ----------------------------------------------------------- The project The focus of the proposed PhD project is two-fold; First, the PhD student will will employ advanced computational and statistical methods to evaluate the prognostic value of neuroimaging modalities, biomarker, genetic, environmental and clinical characteristics and their combination to classify the course of depression and anxiety. A second part of the project focuses on employing these methods to disentangle phenotypic heterogeneity of depression by identifying different subtypes based on a rich set of neuroimaging and clinical data and biological protein information, and by exploring the genetic basis of different subtypes and their association with course of depression and treatment response. For these purposes, you will work with data from the Netherlands Study of Depression and Anxiety (www.nesda.nl) in which an extensive battery of detailed longitudinal clinical, biomarker, neuroimaging and genetic data have been collected in a large cohort. You will also work with similar data from other international cohorts, and with data from the MOTAR study (www.motar.nl) in which the effects of antidepressant and running treatments are examined. This project will integrate across these data-sources using a variety of methods, including the application of supervised and unsupervised machine learning techniques. You will be involved in the processing of neuroimaging data (structural MRI, functional MRI), associating these data with biomarker, clinical and genetics information and using machine learning methods to classify the patients. You will be working in a multidisciplinary team with young and enthusiastic researchers, who have expertise in psychiatry, genetics, neuroimaging, statistics/engineering and epidemiology. Your challenge As a PhD Student your main tasks and responsibilites are: • Help examine predictors of the naturalistic course and treatment response in depression and anxiety; • Identifying subtypes of depression and anxiety based on multimodal data sources; • Apply unsupervised and supervised machine learning methods, such as Support Vector Machine and/or probabilistic methods, to genetic, multi-modal neuroimaging, clinical and environmental data from the NESDA study, the MOTAR study and other international cohorts; • Write various scientific papers on the above topics, and complete your research with a PhD thesis. Your profile We are looking for a highly motivated and enthusiastic researcher with a strong interest in psychopathology who has the following background and experience: • A strong numerate background (i.e. a Master's degree in computer science, mathematics, engineering, medical image analysis or related discipline), preferably with emphasis on machine learning, pattern classification, and/or multivariate image analysis; • Experience with neuroimage analysis or with (bio) statistics is desirable; • You have excellent statistical and strong computer programming skills (good command of LINUX, scripting, and Matlab); • You have excellent communications skills in English, both written and verbal; • Having experience in writing (international) publication(s) is a plus. Benefits Salary Scale: OIO (EUR 2.200 in the first year that increases to EUR 2.818 gross per month in the fourth year, based on 36 hours per week). We also offer a set 8.3% end-of-year bonus and 8% holiday pay. For more information about our fringe benefits, please visit http://www.werkenbijvumc.nl/vumc/arbeidsvoorwaarden/ (Dutch version). The PhD position is for four years, you will start with a contract for 12 months. Additional information The Department of Psychiatry of the VU University Medical Center (VUMC) and GGZ inGeest collaborately conduct research, education and academic patient care. The main focus is on depression and anxiety disorders, two common psychiatric disorders with high public health impact. Psychiatric research is embedded in two VU research institutes: EMGO+ and Neuroscience Campus Amsterdam. In this research area more than 150 persons from different disciplines (e.g. psychiatry, psychology, health science) collaborate. Interested? For more information you can contact dr. Lianne Schmaal, via telephone number: +31(0)20 – 788 4592. For more information about the application procedure you can contact mr. Wessel Haytink, recruiter, via telephone number: +31(0)6 – 1066 7718. Please submit your candidacy by latest September 7, 2014 with reference number D2.2014.00077WH via the following link: http://bit.ly/PhDMachineLearning

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Postdoctoral Research Fellow in Computational Brain Modeling and Neural Engineering
by Mark Kramer 20 Aug '14

20 Aug '14

A multi-year postdoctoral researcher position in computational neuroscience is available immediately through a collaboration of Massachusetts General Hospital and Boston University. The fellow will be tasked to build neural models capable of simulating and predicting human neural dynamics within and among a network of cortical and subcortical areas. These models will inform the design of adaptive “closed loop” stimulation to treat psychiatric disorders. The researcher will work with an interdisciplinary team of clinical and computational researchers at Harvard Medical School, Massachusetts General Hospital, and Boston University to focus on three central aims: 1) Develop a mean-field computational model of human cortical and subcortical regions, 2) Simulate the impact of electrical stimulation on the model dynamics, 3) Implement data assimilation procedures to link in vivo brain voltage recordings from individual patients to the computational model variables and parameters. Experience in statistics (e.g., parameter estimation, Kalman filtering, particle filtering) and computer programming in MATLAB and C-like languages are required. Knowledge of neuroscience and models of neural population activity are preferred, and we will preferentially interview candidates with prior work in neural simulation or experimental neuroscience. This opportunity is available immediately, and candidates currently available to begin work will be preferred. However, we are happy to negotiate start terms for outstanding candidates. To apply, or for more information about the position, please send an email to Drs. Mark Kramer (mak(a)bu.edu) and Alik Widge (awidge(a)partners.org) Please include an updated CV, names and contact information of three references, and a brief statement of your interest in the position and relevant qualifications. Applications from women and representatives of minority groups are encouraged. See also: http://www.nature.com/naturejobs/science/jobs/446865-postdoctoral-research-… -------- Mark A. Kramer Prof. Math & Stats, BU http://math.bu.edu/people/mak/

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