February 2018 - Comp-neuro - lists.cnsorg.org

Creating a list of important computational predictions
by Yiota Poirazi Jan. 4, 2021

Jan. 4, 2021

Dear all, I believe you would agree that, the greatest recognition of our computational work comes with the experimental verification of our computational predictions. To highlight the most important outcomes of our theoretical work and facilitate a closer interaction with experimental labs so as to increase the chances of our predictions being experimentally tested, I would like to encourage you to nominate your favorite prediction at the following google form: https://docs.google.com/forms/d/e/1FAIpQLSeJZ2RrXJ0nZonIuyNzN0Cl gXDKDb7xTzoJOiqZTGxm9Kh7ow/viewform?c=0&w=1&usp=mail_form_link This effort started during the CNS 2017 meeting in Antwerp with the support of the OCNS Board. The resulting list will be posted on the CNS 2017 web site and disseminated in social media, as a reference for experimentalists. Thank you very much for supporting this important effort! Best wishes, Yiota Poirazi -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr FENS-Kavli Network of Excellence <http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/> -- This message has been scanned for viruses and dangerous content by *E.F.A. Project* <http://www.efa-project.org>, and is believed to be clean. Click here to report this message as spam. <http://mailgate1.imbb.forth.gr/cgi-bin/learn-msg.cgi?id=4BCD7A00A1.A57D7&to…> -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr FENS-Kavli Network of Excellence <http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/>

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Columbia Workshop on Brain Circuits, Memory and Computation 2018
by Aurel A. Lazar Dec. 16, 2018

Dec. 16, 2018

Columbia Workshop on Brain Circuits, Memory and Computation 2018 <http://www.bionet.ee.columbia.edu/workshops/bcmc/2018> BCMC 2018 March 15-16, 2018 Center for Neural Engineering and Computation <http://cnec.columbia.edu/> Columbia University, New York, NY, USA Overview The goal of the workshop is to bring together researchers interested in developing executable models of neural computation/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encoding/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various sensory and control circuits in higher brain centers. A Fruit Fly Brain Hackathon <http://www.bionet.ee.columbia.edu/hackathons/ffbh/2018> is being conducted in conjunction with the workshop. Workshop participants are welcome to attend the hackathon. Registration Registration is free but all participants have to register <https://bcmc2018.eventbrite.com/>. Thank you! Organizer and Program Chair Aurel A. Lazar <http://www.ee.columbia.edu/~aurel>, Department of Electrical Engineering, Columbia University. Program Overview (Confirmed Speakers) Misha B. Ahrens <https://www.janelia.org/lab/ahrens-lab>, Janelia Research Campus, Ashburn, VA. Davi Bock <https://www.janelia.org/lab/bock-lab>, Janelia Research Campus, Ashburn, VA. Claude Desplan <https://wp.nyu.edu/desplanlab/>, Department of Biology, New York University. Mark A. Frye <http://www.fryelab.net/>, Department of Integrative Biology and Physiology, University of California, Los Angeles. C. Giovanni Galizia <http://neuro.uni-konstanz.de/03team/content/galizia.html>, Department of Biology, University of Konstanz. Maria N. Geffen <https://geffenlab.weebly.com/maria.html>, Department of Otorhinolaryngology and Department of Neuroscience, University of Pennsylvania. Hokto Kazama <http://kazama.brain.riken.jp/index.php>, Riken Brain Science Institute, Tokyo. Donggen Luo <http://mgv.pku.edu.cn/?co=posts&ac=faculty&catalog=enpiintro&pname=en_Dongg…>, McGovern Institute for Brain Research, Peking University, Beijing. Thomas Nowotny <http://www.sussex.ac.uk/profiles/206151>, Department of Informatics, University of Sussex. Pavan Ramdya <https://ramdya-lab.epfl.ch/home>, Brain Mind Institute, EPFL, Lausanne. Aravinthan D.T. Samuel <https://scholar.harvard.edu/aravisamuel/home>, Department of Physics and center for Brain Science, Harvard University. Simon G. Sprecher <http://www.sprecherlab.com/simon-sprecher/>, Department of Biology, University of Fribourg. Seth Tomchik <http://www.scripps.edu/tomchik/>, The Scripps Research Institute Florida. Joshua T. Vogelstein <http://jovo.me/>, Dept. of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University. Scott Waddell <https://www.dpag.ox.ac.uk/research/waddell-group>, Department of Physiology, Anatomy and Genetics, University of Oxford. Anthony M. Zador <http://zadorlab.cshl.edu/>, Cold Spring Harbor Laboratory. Aurel http://www.bionet.ee.columbia.edu

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CFP: FLAIRS 2017, Marco Island, FL,
by bisant＠umbc.edu Oct. 18, 2018

Oct. 18, 2018

CALL FOR PAPERS FLAIRS 2017, Florida Artificial Intelligence Research Symposium Special Tracks on Data mining and Special Track on Cyber Security Marco Island, Florida http://www.flairs-30.info/ Paper submission deadline: November 21, 2016. Notifications: January 23, 2017. Camera ready version due: February 27, 2017. FLAIRS is an interdisciplinary artificial intelligence conference which especially encourages novel ideas and which features a double-blind review process. Data Mining Track This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Cyber-Security Track Original high quality papers are sought for leading edge research and applications relating to the application of AI and Cyber Security. Topics of interest may include but are not limited to: · Machine Learning for Intrusion Detection Systems · NLP for text analysis in Cyber Security · Video and CCTV semantic analysis for terrorist or criminal action detection · AI & Biometrics, Internet of Things, and Cloud Computing security · AI & SCADA systems, Network Systems, and Embedded Systems security · Formal and theoretical approaches of intelligent security in WSNs · Legal and policy issues in intelligent security · Integrity, privacy, authentication and access control · Intelligent secure systems in multimedia databases · Social networks security · Intelligent incident response techniques in network and communication systems · Risk analysis and intelligent management · Virtual Private Networks intelligent security · Automated reasoning techniques of incidents and evidence analysis · Evidentiary aspects of digital forensics · Collaborative intelligent investigation · Intelligent systems in management, storage and reassembly · Steganography, watermarking, and forensic techniques in multimedia content processing · Lightweight security techniques · Intelligent Large-scale investigations and Big Data · Innovative non-repudiation techniques · Intelligent vulnerability analysis and assessment · Attacks tracking · Data hiding, tamper detection and recovery techniques · Security of e- healthcare systems and applications Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process). Submission Guidelines Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (or 4 pages for short paper, to be presented as a poster) and are due by November 21, 2016. For FLAIRS-30, the 2017 conference, the reviewing is a double blind process. Author names and affiliations should be Xd out on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-30.info/) Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate which special track they are submitting to. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

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Up to 8 PhD fellowships in Cognitive Neuroscience at SISSA, Trieste, Italy
by Alessandro Treves Aug. 16, 2018

Aug. 16, 2018

SISSA is an elite postgraduate research institution, focused on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. Campus above Trieste, overlooking the Gulf. Research approaches in the CNS PhD https://phdcns.sissa.it/ span the range from cognitive psychology and imaging in humans to behavioural neuroscience and multiple single-unit recording in rats, mathematical and computational modeling; with research groups led by Domenica Bueti, Davide Crepaldi, Mathew Diamond, Chris Mathys, Raffaella Rumiati, Alessandro Treves and Davide Zoccolan. Allied approaches are pursued in other SISSA PhDs. All admitted students receive a 4-year fellowship and engage full-time in research based in Trieste, with limited coursework in the first few months, talks and seminars throughout the year and a TEX event in the summer, see https://indico.sissa.it/event/26/ First deadline for EU candidates: March 2, 2018, for nonEU: March 31, 2018 -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

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CFP, Special session - Hybrid Life: Approaches to integrate biological, artificial and cognitive systems, ALife 2018
by Manuel Baltieri March 21, 2018

March 21, 2018

[Apologies for cross-posting] ********** Call for Papers ********** Special session - Hybrid Life: Approaches to integrate biological, artificial and cognitive systems https://sites.google.com/view/hybrid-life/ <https://sites.google.com/view/hybrid-life/> 2018 Artificial Life conference (ALife) Tokyo, JAPAN, 23-27 July 2018 - http://2018.alife.org/ <http://2018.alife.org/> --------------------------------------------------------------------------------------------- DESCRIPTION: The main focus of ALife research is the study of natural systems with the goal of understanding what life is. More concretely, ALife defines ways to investigate processes that contribute to the formation and proliferation of living organisms. In this session we focus on three common approaches to tackle this investigation, proposing ways to integrate, extend and possibly improve them. More specifically we refer to: 1) the formalisation of the necessary properties for the definition of life, 2) the implementation of artificial agents, and 3) the study of the relation between life and cognition. For this special session we propose to start from these well-established Alife methodologies, and extend them through: a unified formal language for the description and modelling of living, as well as artificial and cognitive systems, e.g. control theory, Bayesian inference, dynamical systems theory, etc., the exploration of biological creatures enhanced by artificial systems (or artificial systems augmented with organic parts) in order to investigate the boundaries between living and nonliving organisms, and the evaluation of coupled biological-artificial systems that could shed light on the importance of interactions among systems for the study of living and cognitive organisms. This special sessions aims to invite contributions from the fields of psychology, computational neuroscience, HCI, theoretical biology, artificial intelligence, robotics and cognitive science to discuss current research on the formalisation, combination and interaction of artificial/living/cognitive systems from theoretical, modelling and implementational perspectives. Potential topics include, but are not limited to: Formalisation of life and cognition (e.g. dynamical systems theory, stochastic optimal control, Bayesian inference, etc.) Cognitive robotics Autopoiesis Life-mind continuity thesis Systems biology Origins-of-life theories with relationships to artificial and cognitive systems Animal-robot interaction Bio-inspired robotics Bio-integrated robotics Human-machine interaction Augmented cognition Sensory substitution Interactive evolutionary computation Artificial perception Important Dates 19th March 2018 – Paper submission deadline 23rd April 2018 – Paper acceptance notification 21st May 2018 – Camera-ready version 23-27th July 2018 – Artificial Life conference (ALife), Tokyo, Japan Paper Submission Papers and abstracts submitted to this special sessions will be reviewed by a selected group of experts from the a-life community as well as from other areas key to our proposal, specifically chosen for this review process. If you are submitting to a special session you will be given the opportunity to select it during the submission process. Submissions to special sessions follow the same format, instructions and deadlines of regular ALife papers. Organizers Manuel Baltieri, University of Sussex, Brighton, UK. m.baltieri(a)sussex.ac.uk <mailto:m.baltieri@sussex.ac.uk> Keisuke Suzuki, University of Sussex, Brighton, UK. k.suzuki(a)sussex.ac.uk <mailto:filippo.m.bianchi@uit.no> Hiryuki IIzuka, Hokkaido University, Sapporo, Japan hiroyukiiizuka(a)gmail.com <mailto:hiroyukiiizuka@gmail.com> Contacts For questions, enquiries and more information please check our website https://sites.google.com/view/hybrid-life/ <https://sites.google.com/view/hybrid-life/> or get in touch with m.baltieri(a)sussex.ac.uk <mailto:m.baltieri@sussex.ac.uk>. All the best, -- Manuel Baltieri, EASy group Department of Informatics, University of Sussex, UK Twitter: @manuelbaltieri

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Faculty position in Math Biology at NJIT
by Victor Matveev March 14, 2018

March 14, 2018

Dear comp-neuro list members, The Department of Mathematical Sciences (DMS) at New Jersey Institute of Technology (NJIT) invites applications for a tenure-track position at the assistant professor level in mathematical biology. A second DMS tenure-track assistant professor position in the broader area of applied mathematics is advertised separately (links provided below). The appointment is to start in Fall 2018. Candidates should have a Ph.D. in mathematics, applied mathematics or a related discipline, with an established record of independent research, strong potential for seeking external research support, and a commitment to teaching at graduate and undergraduate levels. Candidates working in any subfield of mathematical biology will be given consideration. Currently, members of the DMS mathematical biology group are engaged in research in computational neuroscience, biological rhythms, biofluids and mechanosensing. To apply, please visit https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=35 The second position in applied mathematics is advertised separately at https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=30 Submissions must include (a) cover letter, (b) resume/CV, (c) research statement, (d) teaching statement, and (e) names and contact information for at least four references. Review of applications will begin immediately and will continue until the position is filled. Please direct any questions to the search committee chair, Victor Matveev, at matveev(a)njit.edu. DMS is recognized for its strong program in applied mathematics, which offers B.S., M.S., and Ph.D. degrees, with Ph.D. program tracks in applied mathematics as well as in applied probability and statistics. NJIT is in the University Heights neighborhood next to vibrant downtown Newark, about 12 miles west of New York City. The NJIT campus is adjacent to the campus of Rutgers-Newark, with which it shares several academic programs. DMS has close collaborative ties to the Department of Biological Sciences at NJIT. Excellent potential for outside collaboration is also afforded by the close geographic proximity of NJIT to other prominent centers for biological research such as the Center for Molecular and Behavioral Neuroscience at Rutgers-Newark, New Jersey Medical School, NYU, Columbia University, and Rockefeller University. Apart from mathematical biology, DMS faculty work in diverse fields of applied mathematics including fluid dynamics, granular matter, nonlinear waves, applied analysis, scientific computing, dynamical systems, and probability and statistics. NJIT is an Equal Opportunity / Affirmative Action Employer and strongly encourages women, minorities, and persons with disabilities to apply. -- ___________________________________ Victor Matveev, Professor Applied Math, Biophysics & Neuroscience Department of Mathematical Sciences Graduate Faculty, Dept of Biological Sciences New Jersey Institute of Technology Newark, NJ 07102-1982 Office: Cullimore Hall 616 E-mail: matveev(a)njit.edu http://web.njit.edu/~matveev/

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M-GATE School: Under the Surface of Memory Phenomena
by Alessandro Treves March 12, 2018

March 12, 2018

TEX2018, the Cognitive Neuroscience summer activity at SISSA, Trieste will host this year "Under the Surface of Memory Phenomena", a school https://indico.sissa.it/e/tex2018/ organized by the M-GATE Innovative Training Network (https://www.mgate.eu/) open to other participants, from June 25 to July 3 2018. Apply now for 10-night accommodation, at cost (340 Euro), or register for self-organized participation (within space constraints), and join us also for the in-set symposium Remembering Daniel Amit, and Beyond! Deadline for applications April 2. Clever inquiries from tex(a)sissa.it -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

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Postdoc to study hippocampal information processing in Canavier lab
by Canavier, Carmen C. Feb. 28, 2018

Feb. 28, 2018

A Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans. The position is to study cholinergic contributions to hippocampal information processing in close collaboration with electrophysiologist Sonia Gasparini. The successful candidate will construct a morphologically and biophysically realistic model of a hippocampal CA1 pyramidal neuron to explain the observed frequency selectivity of different dendritic regions for slow versus fast gamma band inputs. Some network modeling will also be required for the project. If interested, please apply, preferably by March 31st 2018 at https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/1… The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the hippocampus. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. If you have questions, please email Dr. Canavier at ccanav(a)lsuhsc.edu. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

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Postdoc, Deep Microscopy, Berlin
by Judkewitz, Benjamin Feb. 27, 2018

Feb. 27, 2018

Postdoc position available at the Judkewitz Lab! Join our team of neuroscientists, engineers, biologists and physicists in Berlin. Your mission: develop deep brain microscopy techniques and boldly focus where no one has shaped wavefronts before. http://jlab.berlin/jobs

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4-year fully-funded Ph.D. Position in Computational Neuroscience at the Donders Institute
by Bernhard Englitz Feb. 27, 2018

Feb. 27, 2018

Dear List, please distribute the following position announcement to finishing M.Sc. students with strong skills in (computational) neuroscience interested in pursuing a Ph.D. in Neuroscience. Thanks & best wishes, Bernhard Bernhard Englitz, Ph.D. Assistant Professor Department of Neurophysiology Donders Centre for Neuroscience Faculty of Science, Radboud Universiteit Heyendaalseweg 135, 6525 AJ Nijmegen --------------------------------------------------------------------------------------------------------------------------- Project : As a PhD Candidate you will work on a project entitled ‘Neural Mechanisms of Processing and Recognizing Complex, Statistical Sounds’. This project is funded by the Netherlands Organisation for Scientific Research (NWO) and will be conducted at Radboud University in Nijmegen. The main research question is how the brain represents and processes acoustic stimuli which are only defined on a statistical level. These stimuli have a high behavioural relevance, since many natural stimuli have this character. The PhD project will involve a combination of neural population recordings from multiple areas of the auditory and parietal cortex of behaving mice, and their subsequent data analysis. Individual cells will be identified using specific genetically modified mouse lines and matched optogenetic tools. The main outcome of the research will be an expansion of our knowledge of auditory processing, which may have far-reaching implications for the processing of sounds in hearing aids and smart phones. Scientific Environment : The Donders Institute for Brain, Cognition and Behaviour consists of three research centres, the Centre for Cognition, the Centre for Cognitive Neuroimaging and the Centre for Neuroscience. It focuses on state-of-the-art cognitive neuroscience in a multidisciplinary approach, and offers excellent lab and neuroimaging facilities. The position will be hosted at the Neurophysiology department, which provides a high-quality neuroscience environment with facilities for chronic and non-chronic multi-channel recordings, imaging and computational modelling. The department’s research questions address issues in fundamental and applied research, and enable the interaction of theory and experimental work in a single location. The Donders Institute is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Radboud University offers a parental leave scheme and day care on campus. Qualifications : MSc degree in (computational) neuroscience, engineering or biology; experience with animal physiology, programming and data analysis; a proactive attitude, good communication skills, and the ability to work effectively in a multidisciplinary team. Application Link : http://www.ru.nl/english/working-at/jobopportunities/details/details-vacatu… <http://www.ru.nl/english/working-at/jobopportunities/details/details-vacatu…> Closing Date of Call : 30.3.2018 Planned Starting Date : 1.9.2018

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Postdoctoral Position in Systems Neurophysiology of Social Bonding in Rodents
by Liu, Robert C Feb. 27, 2018

Feb. 27, 2018

Postdoctoral Position in Systems Neurophysiology of Social Bonding in Rodents Yerkes National Primate Research Center and the Department of Biology Emory University, Atlanta, Georgia The laboratories of Robert Liu, Gordon Berman and Larry Young at Emory University are accepting applications for a postdoctoral scientist working in a collaborative team to study pro-social interactions in rodents. The research combines recent advances in computational ethology (Berman et al, Interface, 2014) with in vivo electrophysiology and optogenetics in socially interacting prairie voles (Amadei, Johnson et al, Nature, 2017), a premier rodent model for the formation of social bonds (Lim et al, Nature, 2004). The research aims to use behavioral and neurophysiological activity to build predictive models of social dynamics leading to a pair bond, and investigate the role that oxytocin plays in mediating these activities. PhD required. We are looking for a candidate who approaches neuroscience with a systems or circuit perspective and is interested in the neuroscience of social behavior. Training in any of the following areas would be viewed favorably: in vivo electrophysiology, optogenetics, computational data analysis, sensorimotor integration, reward and reinforcement. Emory University and the Yerkes National Primate Research Center have a rich, collaborative neuroscience community (http://biomed.emory.edu/PROGRAM_SITES/NS/) especially in the areas of translational social neuroscience (http://ctsn.emory.edu/) and computational neuroscience (http://compneurosci.college.emory.edu/) Research at Emory in the neurobiology of social behavior extends across many labs from the molecular level through the organismal level in animal models and humans, with a particular interest in the functions of oxytocin (http://www.oxytocin.emory.edu/) Ongoing efforts include both elucidating normal processes and ameliorating deficits found in human conditions, like autism spectrum disorder. To inquire or apply, please email robert.liu(a)emory.edu<mailto:robert.liu@emory.edu>. Review of applications will begin immediately and continue at least through March 31, or until the position is filled. Applications should include a CV, the names and full contact information of 3 references, and at least one representative publication. Emory University is an equal employment opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. References: Amadei EA*, Johnson ZV*, Kwon YJ, Shpiner AC, Saravanan V, Mays W, Ryan S, Walum H, Rainnie D, Young LJ, Liu RC (2017). Dynamic corticostriatal activity biases social bonding in monogamous female prairie voles, Nature, 546(7657):297-301. doi:10.1038/nature22381<http://www.nature.com/articles/doi:10.1038/nature22381> Berman GJ, Choi DM, Bialek W, Shaevitz JW (2014). Mapping the stereotyped behaviour of freely moving fruit flies. Journal of the Royal Society Interface, 11(99):20140672. doi:10.1098/rsif.2014.0672<http://doi.org/10.1098/rsif.2014.0672> Lim, MM, Wang Z, Olazábal DE, Ren X, Terwilliger EF, Young LJ (2004). Enhanced partner preference in promiscuous species by manipulating the expression of a single gene. Nature, 429(6993):754-757. doi:10.1038/nature02539<http://www.readcube.com/articles/10.1038/nature02539> Robert C. Liu, PhD Associate Professor Department of Biology Emory University O. W. Rollins Research Center Rm 2131 1510 Clifton Rd NE Atlanta, GA 30322 USA Phone: +1 404-727-5274 Email: robert.liu(a)emory.edu<mailto:robert.liu@emory.edu> Lab Website<http://www.biology.emory.edu/research/Liu/html/index.php> ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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Postdoctoral fellowships at the Gatsby Unit
by Maneesh Sahani Feb. 27, 2018

Feb. 27, 2018

The Gatsby Computational Neuroscience Unit invites applications for one or more postdoctoral training fellowships in theoretical neuroscience and related areas. Neuroscience research in the unit focuses on the interpretation of neural data, population coding, perceptual processing, neural dynamics, neuromodulation, and learning. We have strong connections with experimental neuroscience and cognitive science groups at UCL (particularly in the Sainsbury-Wellcome Centre for Neural Circuits and Behaviour with which the Unit shares a new purpose-built home) and at institutions around the world. The Unit also has significant interests across a range of areas in machine learning, and is perhaps unique in the way these fields are brought together. The fellowships are suitable for candidates with a doctoral degree and previous experience in relevant theoretical neuroscience or machine learning research. We are especially keen to recruit fellows with expertise in the modelling of perception or population-scale neural data. Full details of the fellowships, and information on how to apply, are available at http://www.gatsby.ucl.ac.uk/vacancies/TN%20Fellows/TN-2018.html The closing date for applications is 23rd Mar 2018. If you have questions unanswered by the website, please contact me by email or in person at Cosyne. -- Maneesh Sahani, Ph.D. Professor of Theoretical Neuroscience and Machine Learning, Director, Gatsby Computational Neuroscience Unit UCL, 25 Howland Street, London W1T 4JG

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Post-doc in Neurophysiology of Attention at UCLA
by Bisley, James Feb. 27, 2018

Feb. 27, 2018

Apologies for cross-posting We invite applications for a fully funded post-doc position studying the neurophysiology of attention. The work will include recording from &/or the reversible inactivation of cortical areas MT, LIP and FEF while animals perform a visual search task utilizing moving dot patterns. For more information about the sort of work done in the lab, check out our publications at http://www.bri.ucla.edu/people/james-w-bisley-phd. Applicants should have a strong background in systems neurophysiology, behavioral training or computational neuroscience and be comfortable working independently on all aspects of the project. Previous experience with NHP recording and data analysis is desirable. Candidates should hold a PhD in neuroscience, psychology or a related discipline. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a brief statement of research experience and interests, expected date of availability, and the contact information for two references to James Bisley (jbisley(a)mednet.ucla.edu<mailto:jbisley@mednet.ucla.edu>). Cheers, James ________________________________ UCLA HEALTH SCIENCES IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

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Computational Postdoc - Cold Spring Harbor Laboratory - Long Island, New York
by Engel, Tatiana Feb. 27, 2018

Feb. 27, 2018

The Engel and Churchland labs in the Department of Neuroscience at Cold Spring Harbor Laboratory invite applications from highly motivated candidates for a postdoctoral position working on a collaborative project between the two labs. The position is entirely computational and truly interdisciplinary with equal (50/50) effort in the Churchland (experimental) and Engel (computational) labs. The project’s goal is to unravel functional roles of excitatory and inhibitory neurons in the decision-making microcircuit through computational analyses of large-scale neural activity recordings and biophysical circuit modeling. In particular, we will develop and deploy novel machine learning frameworks for discovering collective network dynamics from large-scale activity recordings in mice with genetically identified excitatory and inhibitory neurons. These data analyses will provide hard constraints for biophysical models of the decision-making microcircuit, which will be then inferred using deep learning methods. We are looking for theoretical/computational scientists to work at the exciting interface of systems neuroscience, machine learning, and biophysics, embedded within the computational and experimental labs. The postdoctoral scientist is expected to exhibit resourcefulness and independence, developing computational models of large-scale neural activity recordings with the goal to elucidate excitatory/inhibitory neural circuits underlying decision making. Interested candidates should e-mail their application to Tatiana Engel (engel(a)cshl.edu<mailto:engel@cshl.edu>) and Anne Churchland (churchland(a)cshl.edu<mailto:churchland@cshl.edu>) as a single pdf file with subject: Postdoc Application. The application file should include: (1) CV with the publication list, (2) a brief description of research interests, (3) contact information for three references. In addition, the candidates should upload their application online at http://cshl.peopleadmin.com/postings/13170 Position requirements: - PhD in neuroscience, physics, mathematics, computer science, engineering or related quantitative discipline - Expertise in scientific programming, e.g., Python, Matlab, C/C++, CUDA - Expertise in statistics, data analyses, and/or machine learning - Experience with deep learning methods is a plus - Experience with database software is a plus - Track record of publications in scientific journals - Effective communication skills, both written and oral - Dedication and passion for solving hard scientific problems -- Tatiana Engel, PhD Assistant Professor Cold Spring Harbor Laboratory 1 Bungtown Road, Cold Spring Harbor, NY (+1) 408 409 3647

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2 year postdoc : Graph Signal Processing at IMT Atlantique
by Nicolas Farrugia Feb. 27, 2018

Feb. 27, 2018

IMT Atlantique has an opening for a fully-funded two-year postdoctoral fellowship open immediately and starting no later than June 2018, to work on Graph Signal Processing and potential applications to Neuroimaging. The host team is Br.A.In. (Brain-inspired Artificial Intelligence http://www.brain.bzh) and is in the Brest Campus. The call for the position can be downloaded here : http://recherche.telecom-bretagne.eu/brain/wp-content/uploads/2018/02/postd… Scientific context Several application domains rely on multivariate spatiotemporal signals such as transportation networks, energy network, social networks or neural networks. Under the natural assumption that the signal properties are related to the topology of the graph where they are supported, graph signal processing (GSP) offers algorithms that fruitfully leverage this relational structure, and can make inferences about these relationships when they are only partially observed. Developing GSP tools specifically intended to advance modeling and analytics of multivariate signals is a new, fertile area of investigation. In particular, the positionning of the Br.A.In. project regarding GSP is targetted towards the following issues: (1) finding optimal graph representations and adapting machine learning approaches accordingly, (2) generalizing GSP approaches to dynamic graphs in order to fully capture the spatiotemporal complexity of multivariate signals, and finally (3) developing new approaches to enhance the understanding and interpretability of machine learning and deep learning methods using metrics derived from GSP. We are seeking a candidate that will contribute to our research effort on GSP by proposing innovative theoretical approaches, or extensions to existing approaches, related to at least one of the aforementioned issues. Our main target application is the analysis, decoding and interpretability of Neuroimaging data (Electroencephalography EEG or functional Magnetic Resonance Imaging fMRI), but candidates with interest or background in other application domains are encouraged to apply as well. Details and requirements The present postdoctoral fellowship is funded by the Sustainable Attractivity Strategy of the Brittany Region, with the goal of attracting high profile junior researchers from all over the world, offering exceptional conditions for long-term academic development. IMT Atlantique is a public technological university focusing on the training of engineers at the MSc. level and junior researchers at the PhD level. Being a technological university, IMT Atlantique benefits from a advantageous status compared to french public universities. As such, we offer very competitive salary packages, with postdoc wages corresponing to a junior assistant professor level. Successful candidates will also benefits from 49 annual paid holidays, as well as access to multiple benefits from the institutions' union (such as campus activities or sea sports). In addition, living costs in the Brest bay area are exceptionally low, with a high quality of life, and the Brest campus of IMT Atlantique is ideally located at the sea front. The position is open immediately and must start no later than June 2018, for a duration of 24 months. The postdoc fellowship is accompanied with overheads for travel expenses covering (a) the participation to international conferences, (b) article processing charges for open-access publications and (c) acquisition of a computation server dedicated to the postdoc project. The postdoc fellowship will be fully devoted to his research projects, and may optionally (but will not be required to) contribute to teaching activities in machine learning, computer science, signal processing or electronical engineering. Candidates must have defended a Ph.D. related to machine learning or computer science, or signal/image processing. Candidates with a PhD in neuroimaging with solid programming skills and a strong interest for machine learning are also welcome to apply. An additional requirement pertains to the attractivity strategy related to the regional funding; in order to attract international applications, candidates must have spent a minimum 12 months outside France after June 2014. Please send your CV, contacts for two references, as well as a cover letter to nicolas.farrugia(a)imt-atlantique.fr . Nicolas Farrugia Associate professor IMT Atlantique - Department of electronics +33 (0) 2 29 00 16 53

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Postdoc in computational neuroscience at University of Sheffield
by Hannes Saal Feb. 27, 2018

Feb. 27, 2018

Postdoc in computational neuroscience at the University of Sheffield Closing date: 26th March 2018 We are looking to recruit a Research Associate to work on the Wellcome Trust funded project Modelling synaptic and intrinsic plasticity in primate somatosensory cortex. In short, the project will investigate somatosensory plasticity in human cortex and specifically the effect of different learning rules on somatosensory representations. To this end, you will develop a computational framework that will simulate the effects of different plasticity rules on sensory cortical representations and make predictions that can be empirically tested using existing fMRI paradigms. The project involves close collaboration with partners at UCL and Oxford, who will gather empirical data using a state-of-the-art neuroimaging setup. This post is suitable for a candidate with a background in computational neuroscience, or a closely related discipline. The ideal candidate will have experience with the analysis and simulation of large-scale spiking neuron models, mathematical models of plasticity, and/or self-organizing systems. A significant part of the project will involve collaborating with our partner helping to guide empirical data collection. As such, a background in neuroscience is highly desirable, with knowledge of tactile processing, cortical plasticity, and/or neuroimaging especially preferred. For more info, please see http://www.jobs.ac.uk/job/BHY156/research-associate/ or contact Dr Hannes Saal (h.saal(a)sheffield.ac.uk) -- Dr Hannes P Saal Lecturer in Cognitive Science and Computational Modelling Active Touch Laboratory (co-director) Department of Psychology & Sheffield Robotics University of Sheffield Pam Liversidge Building F.05 Sheffield S1 3JD United Kingdom Tel: +44 (0)114 222 6504 Web: https://www.sheffield.ac.uk/psychology/staff/academic/hannes_saal

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REMINDER: Abstract Submission for CNS*2018 closes March 5, 2018
by Sharon Crook Feb. 27, 2018

Feb. 27, 2018

Registration and abstract submission are open for CNS*2018 in Seattle, USA, July 13-18. The deadline for abstract submission is March 5, 2018. The main meeting begins on the evening of Friday July 13 and runs through Monday July 16. It will be preceded by a day of tutorials (Friday July 13) and followed by two days of workshops (Tuesday July 17 and Wednesday July 18). Invited Keynote Speakers: Eve Marder, Brandeis University Nancy Kopell, Boston University Daniel Wolpert, University of Cambridge Rajesh Rao, University of Washington Note that one of the authors must register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. Abstract Submission: http://www.cnsorg.org/cns-2018-abstract-submission Registration: https://ocns.memberclicks.net/index.php?option=com_mc&view=mc&mcid=form_243… For up-to-date conference information, please visit: http://www.cnsorg.org/cns-2018 ---------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org.

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Post-doctoral position in machine learning for computational psychiatry at the University of Munich (LMU)
by Moritz Grosse-Wentrup Feb. 26, 2018

Feb. 26, 2018

We are seeking a highly creative and motivated post-doctoral researcher to work at the intersection of machine learning and computational psychiatry. The position will be based in the group of Moritz Grosse-Wentrup in the Department of Statistics [1]. The successful candidate will closely interact with the group of Nikolaos Koutsouleris in the Department of Psychiatry and Psychotherapy [2]. To apply, you should have a strong passion for developing and employing machine learning methods that make a difference in patients' lives. Also, you should have (or be about to obtain) a Ph.D. in Computer Science, Statistics, Information Engineering, Psychology/Psychiatry (with a strong analytical background), or a related field. You should have an excellent track record in machine learning or data science, which is backed up by publications in major journals or papers at top conferences. Prior experience in psychology or psychiatry would be advantageous but is not a strict requirement. You need to be fluent in written and spoken German. Your job duties include . performing independent research at the intersection of machine learning and computational psychiatry, . teaching courses and seminars to students in statistics and computer science, . and contributing to an interdisciplinary grant proposal on machine learning for computational psychiatry. Salary is according to TV-L E13 (100%) [3]. Part-Time employment is possible. The initial appointment will be for one year, with a potential extension contingent on funding. The starting date is flexible. Screening of applications will commence on March 18, but we will consider applications until the position is filled. The University of Munich is one of Europe's premier academic and research institutions [4]. The recently established elite graduate program in Data Science [5] bundles research in data science across various institutes and attracts excellent students from all over the world. Besides, Munich is a beautiful metropolis with high recreational value. Your application should include a cover letter (~one page), a CV, and contact information of at least two referees. Please submit your application documents (as one PDF file) to mgw(a)stat.uni-muenchen.de. We particularly welcome applications by female candidates. Disabled applicants will receive preference over equally qualified non-disabled applicants. If you have any questions before submitting your application, please contact Prof. Dr. Moritz Grosse-Wentrup Department of Statistics Ludwig-Maximilians-Universität München Ludwigstr. 33, 80539 München, Germany Phone: +49-89-2180-3847 mgw(a)stat.uni-muenchen.de Links: [1] http://www.datascience.statistik.uni-muenchen.de [2] http://www.klinikum.uni-muenchen.de/Klinik-und-Poliklinik-fuer-Psychiatrie-… [3] http://oeffentlicher-dienst.info/tv-l/west/ [4] https://www.timeshighereducation.com/world-university-rankings/lmu-munich [5] http://www.m-datascience.mathematik-informatik-statistik.uni-muenchen.de

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PhD student/postdoc in Sensory and Behavioral Neuroscience
by Gjorgjieva, Julijana Feb. 25, 2018

Feb. 25, 2018

The labs of Julijana Gjorgjieva (Max Planck Institute for Brain Research, Frankfurt, Germany) and Ilona Grunwald Kadow at the TUM School of Life Sciences, Technical University of Munich, Germany invite applications for a fully-funded position (Postdoc or PhD student). We are looking for highly-motivated individuals with a strong quantitative background (in mathematics, physics, engineering, computer science, or related fields), experience in programming and data analysis, and a desire to develop cutting-edge experimental techniques. Previous background in neuroscience, imaging or behavioral analysis is a plus! Julijana will be at Cosyne (March 1-7) so please get in touch to discuss details. The project will examine the neural basis of need and effort-based decision-making in a collaboration between the Gjorgjieva lab, which develops theoretical models of neural circuit processing, and the Grunwald Kadow lab, which studies neural circuits underlying sensory processing and decision making in animal models. The project aims to uncover circuit principles and behavioral readouts of motivation, persistence, and value perception as a function of internal state or experience (e.g. hunger). In particular, the Grunwald Kadow lab is collecting rich data sets of behavioral trajectories of single Drosophila flies as well as functional imaging data (i.e. multiphoton and light-sheet) of neuronal populations (e.g. modulatory neurons). The project will aim to develop advanced analysis techniques that extract key statistical features of the behavioral trajectories and imaging data, and build mathematical models that reproduce the data and make new predictions to be further tested experimentally. By combining behaviour, genetics and imaging, we will also develop neural circuit models that involve several brain areas, including sensory brain areas and higher cognitive regions of the fly brain (i.e. mushroom body). References: S. Sayin J. Gjorgjieva, I. C. Grunwald Kadow (2018). A neural circuit arbitrates between perseverance and reward in hungry Drosophila. BioRxiv doi.org/10.1101/259119<http://doi.org/10.1101/259119> J. Gjorgjieva, G. Drion and E. Marder (2016). Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance. Curr Opin Neurobiol 37:44-52. Lewis L, Siju KP, Aso Y, Friedrich AB, Bulteel AJB, Rubin GM, Grunwald Kadow IC (2015). A higher brain circuit for immediate integration of conflicting sensory information in Drosophila. Current Biology PMID: 26299514, doi: 10.1016/j.cub.2015.07.015 Application: The position will be based at the Technical University of Munich, with frequent visits to the Max Planck Institute for Brain Research in Frankfurt, two of the most exciting and international cities in Germany. Recommended application deadline: March 20, 2018. Applicants will be considered until the position is filled. For further information please visit: http://www.cns.wzw.tum.de and http://www.neuro.wzw.tum.de or email gjorgjieva(a)brain.mpg.de and ilona.grunwald(a)tum.de. To apply, please email the following to: neuro(a)wzw.tum.de (ref. GGK application) 1. A curriculum vitae 2. A letter of motivation explaining your scientific interests, your strengths when working on a problem, why us etc. 3. Contact details for 2 referees 4. A written sample of scientific research, e.g. a manuscript, thesis, or code etc. ----------------------------------------- Julijana Gjorgjieva, PhD Research Group Leader Max Planck Institute for Brain Research Max-von-Laue-Str. 4, Frankfurt Assistant Professor of Computational Neuroscience Technical University of Munich, WZW Freising office: +49 69 850033 3600 http://cns.wzw.tum.de

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Postdoctoral Neuroimaging Fellowship
by Stacie Warren Feb. 25, 2018

Feb. 25, 2018

Dear Colleagues, The Clinical Cognitive and Affective Neuroscience Program directed by Stacie L. Warren, PhD, and Tilman Schulte, PhD, at Palo Alto University is seeking a neuroimaging postdoctoral scholar. This is an exciting opportunity to work on a range of cognitive and affective studies that focus on executive function, emotion regulation, stress responsivity, reward processing, and aging on neural circuitry. Populations of interest include healthy adults, adults with or at risk for developing psychopathology, and neurological disorders. The postdoctoral fellow’s primary responsibility is to analyze neuroimaging data (resting-state and task-based fMRI) and to develop and apply novel data analysis techniques. Additionally, Drs. Warren and Schulte are committed to fostering the postdoctoral scholar’s research independence through first-authored manuscript writing and grant preparation. The start date of the position is as soon as possible, but no later than August 1, 2018. JOB DESCRIPTION Essential Functions - Analyzing neuroimaging data - Developing and implementing statistical/mathematical modeling (e.g., machine learning algorithms) to characterize high-dimensional datasets - Improving software/scripts that implement algorithms for data quality control, preprocessing, analysis, and management - Manuscript development Qualifications - PhD in psychology, neuroscience, cognitive science, computational neuroscience, bioinformatics, or a related field by the time of appointment - Strong background in quantitative analysis - Proficiency with at least one neuroimaging analysis software package (e.g., FSL, SPM, Freesurfer, AFNI, etc.) - Proficiency in programming (e.g., Matlab, Python, C/C++, java) and/or shell scripting - Proficiency with Linux OS and file system - Experience with any of the following: signal and image processing, machine learning, statistical/mathematical modeling - Excellent analytical, interpersonal, organizational, and spoken/written English communication skills are expected - A two-year commitment is required This is a full-time position with a competitive salary and benefits. *To apply, send your CV (including 3 academic references), and a cover letter stating your interests and qualifications to **swarren(a)paloaltou.edu* <swarren(a)paloaltou.edu>*.* Review of applications will begin immediately. -- Stacie L. Warren, Ph.D. Assistant Professor Clinical Psychology Ph.D. Program Palo Alto University 1791 Arastradero Rd. Palo Alto, CA 94304 email: swarren(a)paloaltou.edu <staciewarren3(a)gmail.com>

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Sense 2 Synapse conference 2018, May 12th, The Rockefeller University, New York City, Registration open
by Christoph Kirst Feb. 24, 2018

Feb. 24, 2018

Dear Neuroscientists, We would like to invite you to join us for this year's*Sense 2 Synapse* which will be held on*Saturday, May 12th, 2018* in the Carson Family Auditorium at *The Rockefeller University, New York City.* The conference is an annual event for scientists working on the biology of sensory transduction, subsequent neural processing and perception. The conference will be free this year but you will be asked to confirm your participation a week before the event. We have a outstanding list of key-note speakers: *Maria Neimark Geffen* (University of Pennsylvania) *Alipasha Vaziri* (The Rockefeller University) *Nathaniel Sawtell *(Columbia University) *Eve Marder* (Brandeis University) We will complement the program by 8 talks from graduate students and postdocs selected from abstract submissions and a poster session. More information can be found on our website: http://sense2synapse.com and you can register here: https://sites.google.com/view/sense2synapse2018/registration_1?authuser=0 Join us for a great day of science, discussions and nice food! The organizing team, Christoph Kirst Florian Berger Ben Urban Kanaka Rajan Jeremie Barral -- Christoph Kirst Fellow for Physics and Biology Center for Theoretical Studies and Kavli Physics Fellow Kavli Neural Systems Institute The Rockefeller University 1230 York Avenue, New York, NY 10065 USA +1 212 327 8835 :: ckirst(a)rockefeller.edu

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PhD Position in Computational Neuroscience, Ruben Moreno-Bote, Barcelona, Spain
by Ruben Moreno Bote Feb. 22, 2018

Feb. 22, 2018

PhD Position in Computational Neuroscience, Ruben Moreno-Bote Lab Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background, ideally with knowledge of Neuroscience or Computational Neuroscience, and interested in theory and applications. We will also consider candidates with Psychology background with strong mathematical skills and interested in modeling. The candidate will develop state of the art mathematical techniques and models to understand neuronal dynamics and coding and will have access to multielectrode recording neural data. He/she could also be involved in the design of monkey and human behavioral experiments and the development of models of visual perception, decision making and working memory. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/ruben-moreno-bote) forms part of a larger network of neuroscience labs in Barcelona (http://www.barcelonaneuroscience.com) Financial support is provided by the Howard Hughes Medical Institute and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2018 and January 2019 -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella, Building 24, office 331 Ramon Trias Fargas, 24-27 08005 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

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Seeking Grad students --Fall 2018
by Stephen Jose Hanson Feb. 22, 2018

Feb. 22, 2018

Seeking Cognitive and/or Computational Neuroscience Graduate Students Accepting applications Fall 2018. Rutgers University. We are seeking graduate students interested in the study of cognitive processes (e.g, memory, attention, language, category learning, Neural Networks) using neuroimaging techniques and computational modeling (Deep Learning). Our lab is focused on understanding the dynamics underlying brain response during rest (resting state) and during the performance of cognitive tasks. Within this overall framework, we have conducted research with both neurotypical and clinical populations (e.g., addiction, ASD, GAD), and have conducted studies focused on memory, language processing, preference decisions, face processing, and event perception. Our lab was jointly involved in the development of MVPA as well as IMaGES and other brain connectivity methods (lab has been continuously funded by NSF, McDonnell Foundation and NIH). Dr. SJ Hanson (Psychology, RUBIC) and Dr. C Hanson (CMBN, RUBIC) directs the lab and participates in both the Psychology graduate program and the Behavioral Neuroscience program. Dr. SJ Hanson is also Director of the Rutgers University Brain Imaging Center (RUBIC http://rubic.rutgers.edu) RUBIC houses a Siemens 3T Trio MR scanner to collect MR data and a variety of resources are available to complete any MR neuroimaging study. The lab also has a compute cluster with dual P100 GPUs as well as access to larger clusters available on various campuses. The campus is well serviced by train, subway, and bus service and is surrounded by a diversity of shops and restaurants. Manhattan is a twenty minute train ride from the Newark Penn Station and offers world class cultural and entertainment opportunities. For further inquiry or arrange a visit to our lab and RUBIC please send email to jose(a)rubic.rutgers.edu

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Workshop: Dynamics of learning and computations in neuronal circuits, June 27-29, 2018, Göttingen
by farzad Feb. 22, 2018

Feb. 22, 2018

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funded postdoc positions: mechanisms of perception
by Haider, Bilal Feb. 22, 2018

Feb. 22, 2018

Postdoctoral position: Synaptic mechanisms controlling perception The Haider Lab<haider.gatech.edu> in the Dept. of Biomedical Engineering (BME) at Georgia Tech & Emory University seeks a highly motivated and skilled postdoctoral fellow for a 3-year funded project examining synaptic and network mechanisms supporting sensory perception. The project offers significant opportunity to learn cutting-edge research techniques in vivo, including neural population recording with high-density silicon electrodes, optogenetic circuit manipulation, and whole-cell patch-clamp recording in mice performing visual behaviors. The ideal candidate has expertise in electrophysiology in vitro or in vivo, and quantitative skill in data acquisition and analysis (preferably with MATLAB). Candidates should have excellent written and verbal communication skills, an inquisitive mindset, and enthusiasm to work in a multi-disciplinary team. The position is funded for up to 3 years, pending satisfactory performance upon annual review. We are enthusiastic to form a diverse, international research group. All candidates will be mentored to obtain independent funding as part of their career development. There is a strong, multidisciplinary concentration of labs focusing on Neuroscience @ GT<http://neuro.gatech.edu/> and at Emory<http://biomed.emory.edu/PROGRAM_SITES/NS/>. Atlanta is vibrant, green, and one of the most affordable and livable major cities of the US. Applications should include a CV, a brief statement of research goals, expected date of availability, and names and contact information of three references. Please email these materials to bilal.haider(a)bme.gatech.edu<mailto:bilal.haider@bme.gatech.edu>. The position is available starting March 2018. The Wallace H. Coulter Dept. of Biomedical Engineering<https://www.bme.gatech.edu/> at Georgia Tech and Emory University is an equal opportunity employer committed to diversity. The Department is a unique enterprise, spanning two of the top Engineering and Medical institutes in the country. This environment offers unparalleled facilities and resources for the pursuit of understanding neural circuits and their relationship to behavior and neurological dysfunction. Further information and recent lab publications can be found at haider.gatech.edu<file:///C:/Users/bilal/Dropbox/Docs/GTech%20Docs/haider.gatech.edu> Thank you Bilal Haider, Ph.D. Assistant Professor Coulter Dept. of Biomedical Engineering Georgia Tech & Emory University 313 Ferst Drive, Suite 3104 Atlanta, GA 30332 tel: +1 404 385 4935 fax: +1 404 385 5044 site: haider.gatech.edu<http://haider.gatech.edu/> twitter: @haiderlab<https://twitter.com/haiderlab>

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