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announcement Trieste Encounters on Cognitive Science (TEX) 2017
by Natalia Bielczyk April 4, 2017

April 4, 2017

Dear all, The* Trieste Encounters on Cognitive Science (TEX)* are a yearly summer initiative by SISSA aiming at bringing together scientists from all over the world at all levels of their careers to enjoy science, but also sunshine, food & wine. This year’s edition focuses on* time in the brain*. By looking at time as percept but also as mechanism for perception, TEX 2017 will offer a broad and multifaceted view on the neuroscience of time. To this purpose we gather scientists who are studying time in the brain from different perspectives (e.g. how time shapes our perception, how information is processed over time, how time is perceived or misperceived) and using distinct methodological approaches (from *animal**electrophysiology* to *human neuroimaging*, from *computational modelling* to *psychophysics*). TEX 2017 is a *summer school* for PhD students and Post-Docs. The idea is to have classes on fundamentals provided by eight invited speakers who will give talks on the established concepts and body of evidence in their own field but to also have room for students and post-docs talks. You can *apply *by clicking on the the following link <https://indico.sissa.it/event/13/overview> TEX2017 will take place between *Monday June 12 and Friday June 16, 2017*. It will be held at *SISSA main campus*, via Bonomea 265, Trieste. Information on how to reach us can be found *here* <http://www.sissa.it/how-reach-us>. TEX2017 will feature *Marco Cicchini *(Pisa), *Ayelet Landau* (Jerusalem), *Stefano Panzeri* (Trento), *Warrick Roseboom* (Sussex), *Marshall Shuler * (Baltimore), *Virginie van Wassenhove* (Paris), *Hedderik van Rijn* (Groningen). We look forward to meeting you in Trieste next summer! Domenica Bueti, Mathew Diamond and the TEX2017 team

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by None April 3, 2017

April 3, 2017

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Result: CLEAN. X-Scanned-By: MIMEDefang 2.73 on 143.169.242.21 X-Mailman-Approved-At: Tue, 04 Apr 2017 11:53:46 +0200 Subject: [Comp-neuro] Joint OCCAM / socSMC Workshop on "Mechanisms and models of social interaction" X-BeenThere: comp-neuro(a)neuroinformatics.be X-Mailman-Version: 2.1.14 Precedence: list Reply-To: pkoenig(a)uos.de List-Id: <comp-neuro.neuroinformatics.be> List-Unsubscribe: <http://www.tnb.ua.ac.be/mailman/options/comp-neuro>, <mailto:comp-neuro-request@neuroinformatics.be?subject=unsubscribe> List-Archive: <http://www.tnb.ua.ac.be/pipermail/comp-neuro> List-Post: <mailto:comp-neuro@neuroinformatics.be> List-Help: <mailto:comp-neuro-request@neuroinformatics.be?subject=help> List-Subscribe: <http://www.tnb.ua.ac.be/mailman/listinfo/comp-neuro>, <mailto:comp-neuro-request@neuroinformatics.be?subject=subscribe> X-List-Received-Date: Mon, 03 Apr 2017 19:14:22 -0000 This is an OpenPGP/MIME signed message (RFC 4880 and 3156) --LcfR5IVESMA9DJuB09sUkP0wKJhT3HG54 Content-Type: multipart/mixed; boundary="W3RTjjuX8VxpGQqTUw6rc43FDlF2b5iTW"; protected-headers="v1" From: =?UTF-8?Q?Peter_K=c3=b6nig?= <pkoenig(a)uos.de> Reply-To: pkoenig(a)uos.de To: "comp-neuro(a)neuroinformatics.be" <comp-neuro(a)neuroinformatics.be> Message-ID: <78754cfb-d5ec-cf79-6c20-3bb7638d1fe7(a)uos.de> Subject: Joint OCCAM / socSMC Workshop on "Mechanisms and models of social interaction" --W3RTjjuX8VxpGQqTUw6rc43FDlF2b5iTW Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OCCAM / socSMC Workshop on "Mechanisms and models of social interaction" in Osnabr=C3=BCck from the 6th to 8th July 2017 (http://www.occam-os.de/occam.html) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tamil Asfour*, Karlsruhe Institute of Technology Verena Hafner*, Humboldt-Universit=C3=A4t of Berlin Ivan Herreros*, UPF Barcelona Concetta Morrone*, University of Pisa Bernhard Hommel*, Leiden University Ivana Konvalinka*,Technical University of Denmark Simone Sch=C3=BCtz-Bosbach*, LMU Munich Markus Siegel*, University T=C3=BCbingen Luciano Fadiga*, University of Ferrara Tobias Heed*, University of Bielefeld Basil Wahn*, Osnabr=C3=BCck University Susan Brennan, Stony Brooks University Thomas Metzinger*, University Mainz Merle Faihurst*, University of London Hawke Heekeren*, Free University Berlin Please note that deadline for registration and submission of abstracts is 5th May. The OCCAM (Osnabr=C3=BCck Computational Cognition Alliance Meeting) is organized by Gordon Pipa, Frank J=C3=A4kel and myself and brings together= well established outstanding researchers as well as young promising scientists. This year, the 6th workshop of the series, jointly with the socSMCs project and coordinates with Andreas Engel (http://socsmcs.eu/) we focus on social interactions. The topic comprises theoretical, computational, physiological and robotics approaches. The program includes full length talks (see above), student presentations, a poster session, guided poster tours and a public talk to the general audience. We go to great length to actively involve all participants. Furthermore, there will also be time for informal discussions. Osnabr=C3=BCck is a charming town with a long history many places worth visiting (https://www.osnabrueck.de/english.html) It is conveniently located at the intersection of major train routes and has a local airport with good connections to major hubs (Frankfurt, Munich, London-City Airport) as well as a selection of further direct connections. More detailed travel information can be at http://www.occam-os.de/travel-info.html. We'd be happy if this meeting is of interest to you or your students and hope to welcome you in Osnabr=C3=BCck in summer 2017. Best, Peter, Gordon, Frank & Andreas --=20 Prof. Dr. Peter K=C3=B6nig Institute of Cognitive Science University Osnabr=C3=BCck Wachsbleiche 27 49090 Osnabr=C3=BCck +49 541 969 2399 http://cogsci.uni-osnabrueck.de/~NBP/ --W3RTjjuX8VxpGQqTUw6rc43FDlF2b5iTW-- --LcfR5IVESMA9DJuB09sUkP0wKJhT3HG54 Content-Type: application/pgp-signature; name="signature.asc" Content-Description: OpenPGP digital signature Content-Disposition: attachment; filename="signature.asc" -----BEGIN PGP SIGNATURE----- Comment: GPGTools - https://gpgtools.org iQIcBAEBCgAGBQJY4pbXAAoJELNPIuoz2/j0iYoP/Am2DZJ5VcJ7sXb0nlIP+cNS Ll2UsGZmKovg1MUxLTkP5FLotK/jW2nl+ZiyfLJ8p7/0zMVwkR0L0WZxQWC8+gVZ xcKFCuqEOLMZYDGyQxRIDGffwl5POQcbP+n8I71ZR2m20tsHMmMQfLnD2Z9RoyS/ 0Qw1r01eRKmUe09xuuqlpw8nYbc2zQQc1ZiGx5jFwfl+5cwaFpgjjU+0mpUtSRaM F3jB/5NvKSPZRITN8Hf43aFTrvEW4EQSfJzlmb4+S9pfnflLucpvwxqrX6RAL6gH 6Fg+Utl86mGwjFg4+8IxHLj3yJchcatGbYEFRiuoQ1oip/auZB3HEIAL5brhYtu0 iADaxOvrx4XNt62I4BfWomwG/Y79jrxCFvYf3IkqUpI8bv9QWnOFDKpvARfD3yv8 DvY0aM2L5lW8n/FfK1dXUrRXyZgdJ63APW8o1fTjomx+61lPnRCIqA3NIodOhVXl vBRkWioQACN5+rR5ZqLqTVhW7sNjEeq7RFSGLHMTUmroknXzIovslQC/JH96fqGE yHCP2Gt04mvUmAm8Ex7H2fL1KhGIL/ZBrHgKmxiLZLLaMLF/5I0t2ig/NYI3hMwc n+qBbkU4/ASb54yNVPGwuZu+M4xboUpmhN5WCqUOuAMFAYswXbd9JxgQ5Dl5DpOR ho1OVFoteFHJ8B2LZXnf =Dtuw -----END PGP SIGNATURE----- --LcfR5IVESMA9DJuB09sUkP0wKJhT3HG54--

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by None April 3, 2017

April 3, 2017

(authenticated bits=0) by smtp-auth.serv.Uni-Osnabrueck.DE (8.13.8/8.13.8) with ESMTP id v33IdIdT001214 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES128-SHA bits=128 verify=NO) for <comp-neuro(a)neuroinformatics.be>; Mon, 3 Apr 2017 20:39:20 +0200 To: "comp-neuro(a)neuroinformatics.be" <comp-neuro(a)neuroinformatics.be> From: =?UTF-8?Q?Peter_K=c3=b6nig?= <pkoenig(a)uos.de> Message-ID: <78754cfb-d5ec-cf79-6c20-3bb7638d1fe7(a)uos.de> Date: Mon, 3 Apr 2017 20:39:19 +0200 User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:45.0) Gecko/20100101 Thunderbird/45.8.0 MIME-Version: 1.0 Content-Type: multipart/signed; micalg=pgp-sha512; protocol="application/pgp-signature"; boundary="LcfR5IVESMA9DJuB09sUkP0wKJhT3HG54" X-PMX-Version: vm135.rz.Uni-Osnabrueck.DE (Univ. Osnabrueck) with PMX 6.3.2.2635362, Antispam-Engine: 2.7.2.2107409, Antispam-Data: 2017.4.3.183317, AntiVirus-Engine: 5.35.0, AntiVirus-Data: 2017.4.2.5350007 X-PMX-Spam: Gauge=IIIIIIII, Probability=8%, Report= EU_TLD 0.1, HTML_00_01 0.05, HTML_00_10 0.05, BODYTEXTP_SIZE_3000_LESS 0, BODY_SIZE_4000_4999 0, BODY_SIZE_5000_LESS 0, BODY_SIZE_7000_LESS 0, REPLYTO_SAMEAS_FROM 0, URI_ENDS_IN_HTML 0, __ANY_URI 0, __ATTACHMENT_SIZE_0_10K 0, __C230066_P5 0, __CP_URI_IN_BODY 0, __CT 0, __CTYPE_HAS_BOUNDARY 0, __CTYPE_MULTIPART 0, __HAS_ATTACHMENT 0, __HAS_ATTACHMENT1 0, __HAS_ATTACHMENT2 0, __HAS_FROM 0, __HAS_MSGID 0, __HAS_REPLYTO 0, __HTTPS_URI 0, __MIME_TEXT_P 0, __MIME_TEXT_P1 0, __MIME_TEXT_P2 0, __MIME_VERSION 0, __MOZILLA_USER_AGENT 0, __MULTIPLE_URI_TEXT 0, __NO_HTML_TAG_RAW 0, __REPLYTO_SAMEAS_FROM 0, __REPLYTO_SAMEAS_FROM_ACC 0, __REPLYTO_SAMEAS_FROM_ADDY 0, __REPLYTO_SAMEAS_FROM_DOMAIN 0, __RUS_OBFU_PHONE 0, __SANE_MSGID 0, __TO_MALFORMED_2 0, __TO_NO_NAME 0, __URI_IN_BODY 0, __URI_NOT_IMG 0, __URI_NO_MAILTO 0, __URI_WITHOUT_PATH 0, __URI_WITH_PATH 0, __USER_AGENT 0 X-PMX-Spam-Level: IIIIIIII X-Greylist: Delayed for 00:34:27 by milter-greylist-4.4.3 (ml01.ua.ac.be [143.169.242.21]); Mon, 03 Apr 2017 21:13:52 +0200 (CEST) X-Virus-Scanned-By: ml01.uantwerpen.be. Result: CLEAN. X-Scanned-By: MIMEDefang 2.73 on 143.169.242.21 X-Mailman-Approved-At: Tue, 04 Apr 2017 11:53:46 +0200 Subject: [Comp-neuro] Joint OCCAM / socSMC Workshop on "Mechanisms and models of social interaction" X-BeenThere: comp-neuro(a)neuroinformatics.be X-Mailman-Version: 2.1.14 Precedence: list Reply-To: pkoenig(a)uos.de List-Id: <comp-neuro.neuroinformatics.be> List-Unsubscribe: <http://www.tnb.ua.ac.be/mailman/options/comp-neuro>, <mailto:comp-neuro-request@neuroinformatics.be?subject=unsubscribe> List-Archive: <http://www.tnb.ua.ac.be/pipermail/comp-neuro> List-Post: <mailto:comp-neuro@neuroinformatics.be> List-Help: <mailto:comp-neuro-request@neuroinformatics.be?subject=help> List-Subscribe: <http://www.tnb.ua.ac.be/mailman/listinfo/comp-neuro>, <mailto:comp-neuro-request@neuroinformatics.be?subject=subscribe> X-List-Received-Date: Mon, 03 Apr 2017 19:14:22 -0000 This is an OpenPGP/MIME signed message (RFC 4880 and 3156) --LcfR5IVESMA9DJuB09sUkP0wKJhT3HG54 Content-Type: multipart/mixed; boundary="W3RTjjuX8VxpGQqTUw6rc43FDlF2b5iTW"; protected-headers="v1" From: =?UTF-8?Q?Peter_K=c3=b6nig?= <pkoenig(a)uos.de> Reply-To: pkoenig(a)uos.de To: "comp-neuro(a)neuroinformatics.be" <comp-neuro(a)neuroinformatics.be> Message-ID: <78754cfb-d5ec-cf79-6c20-3bb7638d1fe7(a)uos.de> Subject: Joint OCCAM / socSMC Workshop on "Mechanisms and models of social interaction" --W3RTjjuX8VxpGQqTUw6rc43FDlF2b5iTW Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OCCAM / socSMC Workshop on "Mechanisms and models of social interaction" in Osnabr=C3=BCck from the 6th to 8th July 2017 (http://www.occam-os.de/occam.html) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tamil Asfour*, Karlsruhe Institute of Technology Verena Hafner*, Humboldt-Universit=C3=A4t of Berlin Ivan Herreros*, UPF Barcelona Concetta Morrone*, University of Pisa Bernhard Hommel*, Leiden University Ivana Konvalinka*,Technical University of Denmark Simone Sch=C3=BCtz-Bosbach*, LMU Munich Markus Siegel*, University T=C3=BCbingen Luciano Fadiga*, University of Ferrara Tobias Heed*, University of Bielefeld Basil Wahn*, Osnabr=C3=BCck University Susan Brennan, Stony Brooks University Thomas Metzinger*, University Mainz Merle Faihurst*, University of London Hawke Heekeren*, Free University Berlin Please note that deadline for registration and submission of abstracts is 5th May. The OCCAM (Osnabr=C3=BCck Computational Cognition Alliance Meeting) is organized by Gordon Pipa, Frank J=C3=A4kel and myself and brings together= well established outstanding researchers as well as young promising scientists. This year, the 6th workshop of the series, jointly with the socSMCs project and coordinates with Andreas Engel (http://socsmcs.eu/) we focus on social interactions. The topic comprises theoretical, computational, physiological and robotics approaches. The program includes full length talks (see above), student presentations, a poster session, guided poster tours and a public talk to the general audience. We go to great length to actively involve all participants. Furthermore, there will also be time for informal discussions. Osnabr=C3=BCck is a charming town with a long history many places worth visiting (https://www.osnabrueck.de/english.html) It is conveniently located at the intersection of major train routes and has a local airport with good connections to major hubs (Frankfurt, Munich, London-City Airport) as well as a selection of further direct connections. More detailed travel information can be at http://www.occam-os.de/travel-info.html. We'd be happy if this meeting is of interest to you or your students and hope to welcome you in Osnabr=C3=BCck in summer 2017. Best, Peter, Gordon, Frank & Andreas --=20 Prof. Dr. Peter K=C3=B6nig Institute of Cognitive Science University Osnabr=C3=BCck Wachsbleiche 27 49090 Osnabr=C3=BCck +49 541 969 2399 http://cogsci.uni-osnabrueck.de/~NBP/ --W3RTjjuX8VxpGQqTUw6rc43FDlF2b5iTW-- --LcfR5IVESMA9DJuB09sUkP0wKJhT3HG54 Content-Type: application/pgp-signature; name="signature.asc" Content-Description: OpenPGP digital signature Content-Disposition: attachment; filename="signature.asc" -----BEGIN PGP SIGNATURE----- Comment: GPGTools - https://gpgtools.org iQIcBAEBCgAGBQJY4pbXAAoJELNPIuoz2/j0iYoP/Am2DZJ5VcJ7sXb0nlIP+cNS Ll2UsGZmKovg1MUxLTkP5FLotK/jW2nl+ZiyfLJ8p7/0zMVwkR0L0WZxQWC8+gVZ xcKFCuqEOLMZYDGyQxRIDGffwl5POQcbP+n8I71ZR2m20tsHMmMQfLnD2Z9RoyS/ 0Qw1r01eRKmUe09xuuqlpw8nYbc2zQQc1ZiGx5jFwfl+5cwaFpgjjU+0mpUtSRaM F3jB/5NvKSPZRITN8Hf43aFTrvEW4EQSfJzlmb4+S9pfnflLucpvwxqrX6RAL6gH 6Fg+Utl86mGwjFg4+8IxHLj3yJchcatGbYEFRiuoQ1oip/auZB3HEIAL5brhYtu0 iADaxOvrx4XNt62I4BfWomwG/Y79jrxCFvYf3IkqUpI8bv9QWnOFDKpvARfD3yv8 DvY0aM2L5lW8n/FfK1dXUrRXyZgdJ63APW8o1fTjomx+61lPnRCIqA3NIodOhVXl vBRkWioQACN5+rR5ZqLqTVhW7sNjEeq7RFSGLHMTUmroknXzIovslQC/JH96fqGE yHCP2Gt04mvUmAm8Ex7H2fL1KhGIL/ZBrHgKmxiLZLLaMLF/5I0t2ig/NYI3hMwc n+qBbkU4/ASb54yNVPGwuZu+M4xboUpmhN5WCqUOuAMFAYswXbd9JxgQ5Dl5DpOR ho1OVFoteFHJ8B2LZXnf =Dtuw -----END PGP SIGNATURE----- --LcfR5IVESMA9DJuB09sUkP0wKJhT3HG54--

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NSF grant opportunity
by Tuller, Betty K. April 3, 2017

April 3, 2017

A Dear Colleague letter was released this weekend to announce a funding opportunity for growing convergence research at NSF. The HTML version of the DCL is posted here: https://www.nsf.gov/pubs/2017/nsf17065/nsf17065.jsp The PDF version of the DCL is posted here: https://www.nsf.gov/pubs/2017/nsf17065/nsf17065.pdf The DCL is divided into four distinct sets of opportunities. Although the SBE research community may find something of interest in all four, it is really the fourth to which we would like to call special attention: Work at the Human-Technology Frontier: Shaping the Future (HTF). The funding opportunity here includes Workshops and Research Coordination Networks (RCNs). Workshop proposals need to be received at NSF by May 15. RCN proposals need to be received at NSF by June 1. Note: 1. Very fast turnaround, with receipt dates of May 15 and June 1 for workshops and RCNs, respectively. 2. For the Human-Technology Frontier (HTF) opportunity, the importance of proposals focusing on key challenges and research imperatives of the nexus of humans, technology, and work. The goal here is to help build research capacity for the HTF Big Idea. 3. The workshop mechanism is fully described in the PAPPG (conference proposals; https://nsf.gov/publications/pub_summ.jsp?ods_key=nsf17001&org=NSF) The RCN concept and mechanism is described in NSF 15-527.

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Program Director Position at NSF
by Tuller, Betty K. April 3, 2017

April 3, 2017

PROGRAM DIRECTOR POSITION IN COGNITIVE NEUROSCIENCE AT NSF: Application deadline May 11, 2017 Do you want to help identify areas of potentially transformative research? Serve as the liaison to our research community? Build new national or international collaborations? Experience how the merit review process operates? The Division of Behavioral and Cognitive Sciences is pleased to announce an opening for a Program Director in Cognitive Neuroscience. Specifics and application procedures can be found at https://www.usajobs.gov/GetJob/ViewDetails/466845000/ for a two-to-three year position and at https://www.usajobs.gov/GetJob/ViewDetails/466841200/ for a permanent position. The close date for applications is 5/11/2017. You will need to have a Ph.D. in Cognitive Neuroscience or in a related field with relevant expertise. NSF offers the rare opportunity for scientists to join as temporary program officers for up to three years before returning to their institution. Information about our rotator program can be found at http://www.nsf.gov/about/career_opps/rotators/microsite/. For additional queries, contact Uri Hasson (uhasson(a)nsf.gov<mailto:uhasson@nsf.gov>)

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Post-doc position in electrophysiology/neural coding at Columbia University in the City of New York
by Qi Wang April 3, 2017

April 3, 2017

A postdoc position funded by a 5-year NIH project is available in the Laboratory for Neural Engineering and Control in the Department of Biomedical Engineering at Columbia University ( http://neclab.bme.columbia.edu/) The project investigates the role of the locus coeruleus – norepinephrine (LC-NE) system in modulating sensory neural coding, perception, and learning. The successful applicant should have a background in in-vivo single-unit recording and quantitative analytical methods. Experiences in behavioral training of rodents is a plus. We are looking for highly motivated researchers with a strong technical background, ideally with a PhD or equivalent in Biomedical Engineering, Neuroscience, Psychology, or a related discipline. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team. Start date is flexible. Salary will be commensurate to the candidate qualifications. Applicants should submit a CV, a brief description of research interests, and a list of three references. All application materials as well as any inquiries should be sent to qi.wang(a)columbia.edu. -- =============================== Qi Wang, Assistant Professor Dept. of Biomedical Engineering Columbia University email: qi.wang(a)columbia.edu <qw2161(a)columbia.edu>

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Research Engineer/Post-doc in Computational Neuroscience
by Irene Yujnovsky April 3, 2017

April 3, 2017

*Research Engineer/Post-doc in Computational Neuroscience*** *Institute of System Neuroscience (INS**), UMR1106 AMU-Inserm, Marseille, FRANCE*** ** An engineer/post-doctoral position**is open in the Theoretical Neuroscience Group (TNG) <http://ins.univ-amu.fr/research-teams/theoretical-neurosciences-group/>directed by Viktor JIRSA at the Institute of System Neuroscience (INS) for an experienced computational neuroscientist to work in modeling brain networks with the aim of creating individual Virtual Patient epilepsy models using The Virtual Brain platform as framework (see http://www.thevirtualbrain.org) *Qualification* Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the group and with clinicians. They should have a degree in computational neuroscience, engineering or equivalent level of knowledge. A strong background in computational neuroscience (networks, modeling, dynamic system theory) and/or data fitting (Bayesian approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques) will be highly appreciated. Candidates must be comfortable working in computational environmentsand possess excellent programming skills. Experience using The Virtual Brain platform and development of software or clinical databases would be considered an advantage. *The Theoretical Neuroscience group* We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. *Terms of salary and employment* A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by April 30^th 2017 to: *Dr. Irene Yujnovsky* at irene.yujnovsky(a)univ-amu.fr More information about the INS and the Theoretical Neurosciences Group can be found at: http://bit.ly/29kub1k -- --------------------------------------------------- Irene Yujnovsky, PhD Chef de projet EPINEXT Institut de Neurosciences des Systèmes Inserm UMR1106 Université Aix-Marseille Faculté de Médecine, 27, Boulevard Jean Moulin 13005 Marseille, France Phone: +33 (0)491324239 email: irene.yujnovsky(a)univ-amu.fr Website: http://epinext.org/

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PhD project in "Data-mining for large-scale neural recordings"
by Mark Humphries April 3, 2017

April 3, 2017

We seek PhD candidates for the project "Data-mining for large-scale neural recordings", supervised by Dr Mark Humphries at the University of Manchester. The aim of this project is to develop data-mining (or "knowledge-discovery") approaches to large-scale neural recordings. This project will build on a range of statistical and machine-learning tools built by the Humphries' lab [Humphries, 2011; Bruno et al 2015], to develop a comprehensive, statistically-rigorous approach to data-mining neural activity recordings. We seek candidates with a background in statistics, physics, maths, computer science, engineering, or other quantitative disciplines. (Bruno, A., Frost, W. F., & Humphries, M. D. (2015) Modular deconstruction reveals the dynamical and physical building blocks of a locomotion motor program. Neuron, 86, 304-318. Humphries, M. D. (2011) Spike-train communities: finding groups of similar spike-trains. Journal of Neuroscience, 31: 2321-2336) Deadline for applications: Friday, 21st April 2017 More information, and how to apply: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=84600&LID=1020 Questions: mark.humphries(a)manchester.ac.uk<mailto:mark.humphries@manchester.ac.uk> Our lab: http://www.systemsneurophysiologylab.manchester.ac.uk/ _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/ [0da17e2a-9ed5-496a-b161-9fd4491ce5c7]@markdhumphries <https://twitter.com/markdhumphries> Public blog: https://medium.com/the-spike

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Post-Doc and PhD positions available at Durham University
by Ulrik Beierholm April 3, 2017

April 3, 2017

Dear all, We have vacancies coming up for a post-doc and a PhD student on a 3-year Leverhulme-funded project, “Learning to perceive and act under uncertainty”. The project is supervised by Marko Nardini and Ulrik Beierholm at Durham University (UK) and aims to understand how humans learn new sensory and motor mappings and new perceptual priors for perception and action under uncertainty. The post-doc will work on behavioural studies with adults and computational modelling, while the PhD student will address development in childhood. The postdoc can be from anywhere, but the PhD studentship pays only UK or EU tuition fees. Prospective applicants can find all the details at http://community.dur.ac.uk/marko.nardini/ and are welcome to contact marko.nardini(a)durham.ac.uk and ulrik.beierholm(a)durham.ac.uk for any more information. ------------------------------------------- Ulrik Beierholm, PhD Assistant Professor Department of Psychology, Durham University http://beierholm.net

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Postdoc positions in audition and cognition and brain imaging at Universidad de Chili, Santiago de Chile
by Cristóbal Quiñinao April 1, 2017

April 1, 2017

Dear comp neuro community, A postdoctoral position to study the cognitive consequences of age-related hearing loss is available at the auditory and cognition center (AUCO). This postdoctoral position is funded by the project “From Presbycusis to Dementia. A basic and clinical approach” from the PIA-CONICYT program: Anillo de Investigacion en Ciencia ACT1403. This collaborative project includes three laboratories directed by Paul Delano (Universidad de Chile), Carolina Delgado, (Universidad de Chile) and Alexies Dagnino (Universidad de Valparaiso). (www.auco.cl) In particular, the eligible postdoctoral researcher will analyze brain-imaging data with magnetic resonance. In addition, the postdoctoral researcher will have to analyze cognitive, behavioral and audiological data from human subjects, including controls and presbycusis patients at the Clinical Hospital of the Universidad de Chile in Santiago, Chile. The postdoctoral researcher must have full availability (44 h per week), and the expected beginning of this postdoctoral position is on May 2th, 2017. The offered salary is 1,200,000 CLP monthly, for one year renewable for another year, depending on the evaluation performed by the principal investigators. Requisite and expected skills: - PhD in biomedical sciences, engineering, or public health. - Expertise in programming in different languages (C, R, Matlab, etc.). - Ability to work in an interdisciplinary group of researchers. Applications: Send an email with your CV and cover letter to: phdelano(a)gmail.com; carodede(a)gmail.com including the contact information of two references. Application deadline: 15th April, 2017. The non-selected and selected applicants will be informed by email near 22th April, 2017. The granted postdoctoral fellow at the AUCO center is expected to apply with the principal investigator of the AUCO center in May 2017 for postdoctoral Fondecyt funding. (http://www.conicyt.cl/fondecyt/category/concursos/postdoctorado/) Thank you for spreading the announcement! -- Cristóbal Quiñinao

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Post-doc positions available: decoding memory in health and disease
by Annabelle Singer April 1, 2017

April 1, 2017

*Description* Postdoctoral positions are available in the Singer lab at Georgia Institute of Technology and Emory University School of Medicine studying how neural activity across large ensembles of cells represents memories of experiences and guides behavior in health and disease. *Major Responsibilities:* The successful applicant will examine how neural activity across many neurons drives learning and memory of experiences and how this process goes awry in disease with a focus on the hippocampal circuit. This research uses a variety of advanced neurophysiology techniques including in vivo recordings from many single cells, patch-clamp electrophysiology, and optogenetics in mice behaving in a virtual reality environment as well as innovative data analysis methods. To find out more about the Singer Lab, see our lab website http://singer.gatech.edu/ <http://singer.gatech.edu/publications/> and our recent publications: Gamma frequency entrainment attenuates amyloid load and modifies microglia <http://www.nature.com/nature/journal/v540/n7632/abs/nature20587.html> Hippocampal SWR Activity Predicts Correct Decisions during the Initial Learning of an Alternation Task <http://www.sciencedirect.com/science/article/pii/S0896627313000937> And some recent press: Beating Alzheimer’s with Brain Waves <https://www.theatlantic.com/science/archive/2016/12/beating-alzheimers-with…> *Qualifications* The ideal candidate will have a PhD in Neuroscience, Biomedical Engineering, or a related discipline. Previous experience with electrophysiology, in vivo experimentation, or learning and memory is preferred. Candidates with computation backgrounds including signal processing, electrical engineering, programming, or physics are highly encouraged to apply. The Singer Lab is part of the dynamic, exciting, and collaborative neuroscience and neuroengineering communities at Georgia Tech and Emory University. The candidate is expected to become an active member of this flourishing research community. *How to Apply:* If you meet these requirements and are interested in this position, please provide your detailed CV, a cover letter stating your research interests, and names and contact information for two references to Annabelle Singer: asinger(a)gatech.edu *Department Description* *The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech* is part of a vibrant biomedical community in Atlanta that includes the Emory School of Medicine, Center for Disease Control and Prevention (CDC), Winship Cancer Institute, Children’s Healthcare of Atlanta (CHOA), Georgia ImmunoEngineering Consortium, Institute for Electronics and Nanotechnology, Petit Institute for Bioengineering and Bioscience, and more. This rich scientific environment provides unique and unparalleled research opportunities, including seminars given by leaders in science and engineering from throughout the U.S. and abroad, opportunities for collaborations, exposure to diverse research programs, and sophisticated core facilities. As such, we offer the best of internationally renowned institutions. The partnerships have created an outstanding undergraduate program — which is now recognized as #1 in the nation. Our excellent graduate program is also top ranked at No. 2. Georgia Tech is an Affirmative Action/Equal Opportunity Employer. Annabelle Singer Assistant Professor Coulter Dept. of Biomedical Engineering Georgia Tech & Emory University 313 Ferst Drive Atlanta, GA 30332 Web: http://singer.gatech.edu/ Email: Annabelle.singer(a)bme.gatech.edu Skype: annabellesinger Google Hangout: annabellecsinger(a)gmail.com

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The Virtual Brain Node 5 in Marseille, May 15-16 2017
by Viktor Sip March 31, 2017

March 31, 2017

*The Virtual Brain (TVB) Node 5* * * *2-day Training Workshop in Marseille, France, on May 15-16, 2017* We would like to invite interested students and researchers to the upcoming *The Virtual Brain Node 5 *workshop, Marseille, France, 15th - 16th May 2017. The workshop is dedicated to a theoretical and hands-on understanding of large-scale brain network modeling using the open source neuroinformatics platform The Virtual Brain (TVB). For the first time this workshop will be held over 2 days and will go more in depth regarding the hands-on modeling sessions along explicit use cases from resting state studies and clinical applications to epilepsy and stroke. Also for the first time we will offer in-depth training of fitting virtual brain models to human imaging data. The Virtual Brain simulation environment enables the biologically realistic modeling of network dynamics using connectome-based approaches across different brain scales. Personalized brain network models can be derived from an individual’s MRI data. Configurable brain network models generate macroscopic neuroimaging signals including functional MRI, intracranial and stereotactic EEG, surface EEG and MEG for single subjects. TVB researchers from different backgrounds can benefit from an integrative software platform including a supporting framework for data management (generation, organization, storage, integration and sharing) and a simulation core written in Python. *Workshop format:* lectures and hands-on tutorials. Participants are encouraged to bring their own data to work on. *Workshop program overview:* * *- Theoretical background of large scale brain network modeling - Architecture of The Virtual Brain (TVB) - Interacting with TVB using GUI and Python interface - Preprocessing neuroimaging data, or how to obtain a TVB dataset - Fitting the brain model parameters to the functional data - Modeling resting state network dynamics in fMRI - Modeling stroke and recovery - Modeling epilepsy and surgical interventions - Modifying TVB code and implementing new features - Bring your own data hands-on sessions: preprocessing and simulations Further information and the registration form are at: https://www.eventbrite.ca/e/tvb-node5-the-virtual-brain-workshop-registrati… *Registration will be closed on April 20th.* With any questions please contact Viktor Sip (viktor.sip(a)univ-amu.fr <mailto:viktor.sip@univ-amu.fr>). -- Viktor SIP INS - Institut de Neurosciences des Systèmes UMR INSERM 1106, Aix-Marseille Université 27 Bd Jean Moulin 13005 Marseille France viktor.sip(a)univ-amu.fr http://ins.univ-amu.fr/

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Final program online and registration deadline, Sense 2 Synapse 2017 Conference, Saturday April 8th, The Rockefeller University, New York City
by Christoph Kirst March 30, 2017

March 30, 2017

Dear all, The final program for the Sense 2 Synapse**conference is online: http://www.sense2synapse.com/program Registration for participation will remain open until April 5th. You can register here: http://www.sense2synapse.com/registrationForm <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.sense2synapse.com_r…>* *Join us for a day of interesting neuroscience presentations and further discussions during breakfast, lunch, and our legendary wine reception ! The organizing team Christoph Kirst Florian Berger Jeremie Barral Gonzalo Otazu Nicolas Renier *Sense 2 Synapse 2017 Program * 9:00am Breakfast & Introduction 9:30am *Gaby Maimon*(The Rockefeller University) /Quantitatively tuned efference copies in/Drosophila 10:10am Contributed Short Talks Erin Barnhart (New York University) /Multi-layered nonlinear integration of local motion cues underpins efficient coding of global motion patterns in Drosophila /Menachem Katz (The Rockefeller University) / Repetitive behavior mediated by glutamate is controlled by astrocyte-like glia in C. elegans / 10:40am Coffee Break 11:15am *Larry Abbott*(Columbia University) /A Novelty Detector in the Fly/ 11:55am Contributed Short Talks Luca Mazzucato (Stony Brook University) /Expectation modulates network dynamics in sensory circuits/ Leenoy Meshulam (Princeton University) /Place and non-place: collective coding in large hippocampal networks/ 12:25pm Lunch Break & Poster Session 3:00pm *Nicole Rust*(University of Pennsylvania) /Single-trial familiarity memories for objects and scenes/ 3:40pm Contributed Short Talks Na Young So (Columbia University) /Representation of an intention toward a delayed action by neurons in the parietal cortex/ Izumi Fukunaga (OIST Graduate University) /Task-dependent tuning of the olfactory bulb/ 4:10pm Coffee Break 4:40pm *Sarah Woolley*(Columbia University) /Early social experience couples auditory tuning and vocal acoustics/ 5:20pm Contributed Short Talks David S. Deutsch (Princeton University) /From Courtship Song Processing to Behavior in Drosophila Females / Srivatsun Sadagopan (University of Pittsburgh) /Optimal features for auditory recognition/ 6:00pm Reception -- 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 7561 ::ckirst@rockefeller.edu

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Postdoc positions in event-based vision and neurocomputing systems at TU München, Germany
by Jörg Conradt March 30, 2017

March 30, 2017

Dear comp neuro community, the NST group at TU München, Germany, http://www.nst.ei.tum.de/en is looking for up to two postdoctoral researchers to join the group as soon as available. Research covers event-based vision and neurocomputing systems from biological modelling to engineering applications. http://www.nst.ei.tum.de/en/research/ Upcoming projects address engineering applications of neural computation; e.g. neuronal models for sensory perception, reasoning, and action generation in robotics. Preference will be given to (a) engineering applications of event-based vision and (b) investigations in spiking computing algorithms on neuromorphic hardware, such as SpiNNaker, TrueNorth, Spikey, etc. The successful postdoc is expected to initiate novel research projects (initial funding is available) and to supervise graduate and undergraduate students in his/her area of expertise. Strong programming skills are essential! Current funding is secured until September 2018 with possible extension. The positions include a reduced teaching obligation of ~2.5h per week in the recently established ENB Elite Master Program on NeuroEngineering (http://www.msne.ei.tum.de) To inquire please send brief email to office(a)nst.ei.tum.de<mailto:office@nst.ei.tum.de>. To apply, please send a concise (max 1/2 page) statement of your research interest and how you fit in our group, accompanied by your CV and names + email addresses of 2 references to office(a)nst.ei.tum.de<mailto:office@nst.ei.tum.de>. We are very much looking forward to extending our group! Thank you for spreading the announcement! Jörg Conradt -- Jörg Conradt W1 Professor of Neuroscientific System Theory www.nst.ei.tum.de<http://www.nst.ei.tum.de/> Center of Competence on NeuroEngineering www.NeuroEng.de<http://www.neuroeng.de/> Department of Electrical and Computer Engineering Technische Universität München, Karlstr. 45, 80333 Munich, Germany Tel: +49 89 289-26902, Fax: +49 89 289-26901, E-mail: conradt(a)tum.de<mailto:conradt@tum.de>

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Postdoctoral Position (neural ensemble dynamics during REM sleep) at University of Strathclyde in Glasgow, UK
by Shuzo Sakata March 30, 2017

March 30, 2017

Applications are invited for a postdoctoral research position in the group of Dr Shuzo Sakata in Strathclyde Institute of Pharmacy and Biomedical Sciences at University of Strathclyde, Glasgow, UK. This position is funded by the Leverhulme Trust. Mission of our research team is to understand state-dependent information processing in the brain at the level of neural circuits. This project particularly concerns REM sleep. Taking multidisciplinary approaches, we are aiming to elucidate the function of sub-second brain waves and underlying neural ensemble dynamics during REM sleep in rodents. As a large data set has been already collected, this project will focus primarily on data analysis and developing a computational model. The successful applicant will have a PhD in the field of neuroscience, engineering, statistics, computer science, physics or related fields. Strong quantitative skills for neurophysiological data (e.g., LFP, neuronal ensemble, video image) and/or computational modelling would be advantageous. Applicants should send (1) a CV and (2) a summary of their specific interests in our research programs to Dr. Shuzo Sakata, email: shuzo.sakata(a)strath.ac.uk. -- Shuzo Sakata, Ph.D. Senior Lecturer in Circuit Neurophysiology Strathclyde Institute of Pharmacy and Biomedical Sciences University of Strathclyde 161 Cathedral Street, Glasgow G4 0RE, UK tel: +44-(0)141-548-2156, fax: +44-(0)141-552-2562 email: shuzo.sakata(a)strath.ac.uk The University of Strathclyde is a charitable body, registered in Scotland, number SC015263

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announcement ESIsync 2017 conference
by Martin Vinck March 29, 2017

March 29, 2017

----------------------------------------------------------------------------------------------------------------------- Dear Colleagues, registration is now open for the ESI- Systems Neuroscience Conference 2017. The conference will take place on July 24th and 25th, at the Max Planck Institute for Empirical Aesthetics in Frankfurt. This year’s theme is "Principles of structural and functional brain connectivity”. The talks will cover a wide range of techniques, including electrophysiology, calcium imaging, fMRI, and computational methods for connectivity analysis. Confirmed speakers at present are: Christopher Moore, Rafael Yuste, Charles Gilbert, Fritzjof Helmchen, Thomas Klausberger, Olaf Sporns, Maria Ercsey-Ravasz, Suliann Ben Hamed, Christopher Pack and Matthew Larkum. We welcome submissions for poster presentations. More information can be found at: http://www.esi-frankfurt.de/esisync/ Regards, On behalf of the organizers: Wolf Singer, Pascal Fries, Renata Vajda, Martin Vinck, Gustavo Rohenkohl -----------------------------------------------------------------------------------------------------------------------

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Save the date: Integrated Systems Neuroscience 2017 meeting (September 7-8, Manchester, UK)
by Mark Humphries March 29, 2017

March 29, 2017

We are excited to announce the second Integrated Systems Neuroscience meeting. 7-8th September 2017, Manchester, UK The goal of this meeting is to present the state-of-the-art in integrated systems and computational approaches to key neural circuits. Each session of the programme will comprise a pair of talks presenting complementary experimental and computational work on the same circuit theme. Breaks between each session will allow for plentiful discussion of the work just seen and how it may translate to other circuits and problems in systems neuroscience. A poster session with wine reception will be held on the first evening. Confirmed speakers: Rune Berg (Copenhagen University) Tiago Branco (Sainsbury Wellcome Centre for Neural Circuits) Neil Burgess (Institute of Cognitive Neuroscience, UCL) Megan Carey (Champalimaud Institute, Lisbon) Claudia Clopath (Imperial College, London) Kate Jeffery (UCL) Christian Machens (Champalimaud Institute, Lisbon) Jonathan Pillow (Princeton) Simon Peron (New York University) Manuel Zimmer (IMP, Austria) We will shortly announce the opening of registration and abstract submission. For more information, including the current programme, please visit the website: https://www.bmh.manchester.ac.uk/conferences-meetings/isn2017/ Organisers: Mark Humphries & Rasmus Petersen (University of Manchester) Sponsors: we gratefully acknowledge the support of the Medical Research Council _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/ [0da17e2a-9ed5-496a-b161-9fd4491ce5c7]@markdhumphries <https://twitter.com/markdhumphries> Public blog: https://medium.com/the-spike

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Tenure-Track Faculty positions in Robotics at ENSTA ParisTech (with possible integration in the joint Inria-Ensta ParisTech Flowers lab)
by Pierre-Yves Oudeyer March 29, 2017

March 29, 2017

Tenured and Tenure-Track Faculty positions in Robotics at ENSTA ParisTech (with possible integration in the joint Inria-Ensta ParisTech Flowers lab) Position description The Computer Science and System Engineering (U2IS) at ENSTA ParisTech is opening several tenured and non-tenured faculty positions in the field of robotics. The candidates will be recruited in the Autonomous Systems and Robotics research team (ASR), inside the U2IS laboratory. ASR dedicates itself to the development of technological systems with strong autonomy and high dependability, focusing in particular on learning, perception, navigation, human-robot interaction for assistive robotics and intelligent vehicles. The candidates will lead research and innovation activities on one or several of the following themes: navigation, SLAM, localization, planning and control perception, computer vision, image processing machine learning, deep learning, developmental and cognitive robotics system architecture for autonomous vehicles. These activities should be conducted in the application areas of intelligent vehicles or assistive/service robotics, in link with the other members of the team. In particular, candidates could be integrated in the joint ENSTA ParisTech-INRIA FLOWERS team (http://flowers.inria.fr) The candidates are expected to participate in the development of partnerships, collaborations and contractual relations in his domain, particularly in partnership with industry. Inquiries about the scientific context of the position can be directed to David Filliat (david.filliat(a)ensta-paristech.fr) or Bruno Monsuez (bruno.monsuez(a)ensta-paristech.fr) Faculty duties include teaching at the graduate and undergraduate levels, research, and supervision of student research. Basic knowledge, or willingness to learn french language are required as part of the teaching will be in french. Candidates must have the ability to develop a leading research program with a focus on technology development and translation into concrete applications of robotics or Intelligent Vehicles. About ENSTA ENSTA ParisTech is one of the most renowned French institutes of engineering education and research (Grande Ecole). Located in Palaiseau, it offers graduate level scientific education, excellent research facilities and a broad international network. It is a founding member of Paris-Saclay University, a federal university composed of 19 institutions (Universities, Grandes Ecoles, Research organisms). Large companies have also settled their research center in this area so that by 2020, this scientific cluster, the largest in France, will gather up to 15% of French research. Application Requirements for applying for tenured position are: possession of a doctoral university degree, excellent skills in teaching and research, completed habilitation (post-doctoral degree) or comparable research experience, obtained as part of an academic or non-academic position. Requirements for applying for non-tenured position are: possession of a doctoral university degree, a good teaching experience, have a strong publication record, and have experience with conduction research projects. The successful candidates will be expected to conduct high quality research, teach to a diverse and talented student body, and secure competitive external funding. The complete application package required includes: a curriculum vitae including a list of publications; a brief statement explaining the candidate's contribution to their best two publications, with embedded links to the publications in pdf format; a research statement; a teaching statement including a list of lectures the candidate could teach; the names and email addresses of three references. Applications should be sent to: Bruno Monsuez (bruno.monsuez(a)ensta-paristech.fr) The positions will open on March 30th, 2017 and the selection process will continue until the position is filled. Links ENSTA ParisTech Official position description (in French) Autonomous Systems and Robotics team ================ Pierre-Yves Oudeyer Research director, Inria Head of Flowers Lab Inria and Ensta ParisTech, France https://flowers.inria.fr http://www.pyoudeyer.com

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Postdoctoral Position (EEG) at Stanford in Brain Network Connectivity Research
by Wei Wu March 29, 2017

March 29, 2017

The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting applications for a postdoctoral fellow focused on sophisticated analyses of electroencephalography (EEG) data. The focus of this position is on understanding functional brain networks using a variety of EEG methods, relating EEG to functional magnetic resonance imaging (fMRI), and application of connectivity methods in EEG. Additionally, work will focus on analysis of concurrent transcranial magnetic stimulation (TMS) and EEG data to understand neural circuit causal mechanisms. A particular emphasis will be larger-scale application of these tools and data types to treatment outcome prediction and development of clinic-translatable biomarkers. The successful applicant will have a PhD in Engineering, Statistics, Computer Science, Neuroscience, Neurophysiology, Psychology, or related fields. Experience with EEG data analysis is required. Additionally, strong quantitative skills and a programming background are important. Duties will also include manuscript preparation, presentation of findings at conferences, and contribution to the preparation of grants. Laboratory and Stanford resources include research-dedicated 3T and 7T MRI scanners, simultaneous EEG/fMRI, multiple high density EEG setups, and concurrent transcranial magnetic stimulation (TMS)/fMRI and concurrent TMS/EEG setups. Salary commensurate with experience. More information about our ongoing studies can be found at: http://etkinlab.stanford.edu. To apply, please send a curriculum vitae, a statement describing research interests and relevant background and three letters of recommendations, as well as relevant reprints/preprints of research articles to: Amit Etkin, MD, PhD Department of Psychiatry and Behavioral Sciences Stanford Neurosciences Institute Stanford University amitetkin(a)stanford.edu

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The 1st International Neural Dynamics Summer School 2017 - application deadline 15th May, 2017
by Tsaneva-Atanasova, Krasimira March 27, 2017

March 27, 2017

The 1st International Neural Dynamics Summer School 2017 Experience experimental and computational neuroscience research 30/08/2017 – 01/09/2017 Bristol University, UK We are offering twelve fully funded positions on the Wellcome Trust sponsored summer school for training and research experience in neural dynamics(TRENDs). The training and research in neural dynamics summer school is an exciting Wellcome Trust funded course held at the University of Bristol. The aim is to introduce young scientists to experimental and computational techniques used in neuroscience research. The summer school will be a three-day course made up of a series of seminars and lab visits where successful candidates will get first hand experience of electrophysiological recordings (bothin vitro and in vivo), EEG recordings, brain imaging, optogenetics, data analysis workshops and practical classes on learning to code in Python. No prior experience is necessary, but a keen interest is essential! We welcome applications from science undergraduates from a wide range of backgrounds. For successful applicants all costs to attend the course, including travel expenses within the UK, accommodation and food will be covered. Overseas travel expenses will be considered on a case by case basis. Deadline 15th May, 2017 Please send a completed application form, along with a cover letter, a copy of your CV and one academic reference or the name of one referee to elaine.sparey(a)bristol.ac.uk<mailto:elaine.sparey@bristol.ac.uk> The application form is available as .doc (TRENDS-2017-doc (Office document, 10kB)<http://www.bristol.ac.uk/media-library/sites/neural-dynamics/documents/tren…> ) or as a LaTeX templateTRENDS-2017-tex<http://www.bristol.ac.uk/media-library/sites/neural-dynamics/documents/tren…>TRENDS-2017-tex<http://www.bristol.ac.uk/media-library/sites/neural-dynamics/documents/tren…> (TRENDS-2017-tex<http://www.bristol.ac.uk/media-library/sites/neural-dynamics/documents/tren…>), please submit either .doc or .pdf. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics & Living Systems Institute, T02.17 University of Exeter, Stocker Road, Exeter, EX4 4QD, UK email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> tel: +44 (0) 1392 723615 web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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DEADLINE APPROACHING : 31st March . NeuroBridges 2017
by ahmed el hady March 26, 2017

March 26, 2017

*The deadline for NeuroBridges 2017 summer school application (* *(http://decision-making-lab.com/NeuroBridges/neurobridges2017.html <http://decision-making-lab.com/NeuroBridges/neurobridges2017.html>) is approaching. March 31st is the deadline for application. More details about the summer school and the application procedure below. * *NeuroBridges 2017 Summer school , Cluny, France* *(** September 3 - September 14, 2017 )* *NeuroBridges 2017* (http://decision-making-lab.co m/NeuroBridges/neurobridges2017.html) will be a ten days summer school. Students will attend lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions of contemporary neuroscience. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily from the Middle East and the Mediterranean region either working in their home countries or abroad. We will consider applicants with some background in applied mathematics, computer science, electrical engineering or physics, interested in theoretical brain and cognitive sciences. We will also consider those with biological or medical background given that they show proof of basic mathematical knowledge (i.e. linear algebra, calculus, in particular ordinary differential equation). Through the online application system (can be accessed through: http://decision-making-lab.com/NeuroBridges/neurobridges2017.html ) , you will be asked to provide personal details, academic background, the names of two referees , a motivation letter that should include a paragraph about your quantitative skills and a CV. The school will take place between September 3 and September 14, 2017 in Le Centre de Conférences Internationales de Cluny (CCIC) <http://www.ccic.eu/index.html>. Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. The application deadline is March 31st 2017. *NeuroBridges* is co-organized by Ahmed El Hady <http://scholar.princeton.edu/ahmedelhady/home>(Princeton Neuroscience Institute, USA), Yonatan Loewenstein <http://elsc.huji.ac.il/loewenstein/home> (Hebrew University of Jerusalem, Israel) and David Hansel <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel>(CNRS, Paris, France). *2017 Confirmed Faculty (check the website regularly for updated faculty list):* Carl van Vreeswijk (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/carl-van-vreeswijk/> Gianluigi Mongillo (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/gianluigi-mongillo/> Shaul Druckmann (Janelia) <https://www.janelia.org/people/shaul-druckmann> Yoram Burak (Hebrew University) <http://elsc.huji.ac.il/burak/home> Omri Barak (Technion) <http://neuroscience.technion.ac.il/researcher/19> Najib Majaj (NYU) <https://www.researchgate.net/profile/Najib_Majaj> Farzan Nadim (NJIT) <https://biology.njit.edu/people/nadim.php> Valerie Ego-Stengel (CNRS) <https://www.unic.cnrs-gif.fr/teams/Research%20group%20of%20Daniel%20Shulz> If you have any questions, please do not hesitate to email Ahmed El Hady (email: ahady(a)princeton.edu )

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Time Dimension new research topic on Frontiers
by dipanjan roy March 26, 2017

March 26, 2017

Dear Colleague,Our sincere apology for cross-posting. We would like to invite you to consider contributing an article to the Frontiers research topic “Temporal Structure of Neural Processes Coupling Sensory, Motor and Cognitive Functions of the Brain”. The research topic is hosted by: Daya Gupta, Arpan Banerjee, Dipanjan Roy, and Federica Piras *The overarching goal of this research topic is trying to address the role of time-dimension in cognitive functions. So far, the emphasis in past years has been only to directly study temporal structure of neuronal data at various scales of brain organization from single neurons at microscopic level, LFP at mesoscopic level, and EEG/MEG at macroscopic level. However, the mechanisms by which timing relationship of environment is entangled with the corresponding temporal structure of neural signals are not entirely clear. Important insights can be acquired and specific predictions about timing can be made by developing computational models of the brain dynamics and relating them to empirical observations. In this Research Topic, we invite contributions based on clinical, experimental and theoretical evidence to support the hypothesis that time-dimension is an important bridge to integrate multi-scale observations of behaviour and brain information processing where temporal patterns of activity in neural networks are critical to understanding the execution of sensory, motor and cognitive processes*. *Concretely, our hope is that this research topic will further converge on a consensus that deficits of timing and specific alteration of rhythmicity are an important part of the spectrum of cognitive dysfunctions seen in a variety of neurodegenerative and neuropsychiatric disorders, which provides indirect, but crucial evidence that time-dimension is an integral component of information processing in the brain underlying cognitive functions.* Frontiers research topics initially require the submission of an abstract of your work, which will be considered by the topic editors to determine if it falls within the goals of the research topic. Approved abstracts will then be invited to submit a complete manuscript. Link to the research topic is provided below http://journal.frontiersin.org/researchtopic/5972/temporal-structure-of-neu… Depending on the article type, Frontiers has article processing charges (APCs). They range from free to 2490$ for original research articles or reviews (please see http://home.frontiersin.org/about/publishing-fees) If submitted to a Research Topic within the deadline there is a 15% reduction for some article types. Frontiers also has a waiver program so that APCs do not stand in the way of science. Key dates for this research topic are as follows: 1. Abstract submission deadline – 09 June 2017 2. Manuscript submission deadline – 05 January 2018 We very much hope to include your valuable work in this area within this research topic to help make it a key reference and a new resource for brain dynamics, time perception research. Yours in Neuroscience, Psychology, and Behaviour, Daya Gupta, Arpan Banerjee, Dipanjan Roy, and Federica Piras

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Special issue: Information Decomposition of Target Effects from Multi-Source Interactions
by Joseph Lizier March 24, 2017

March 24, 2017

Dear all, We are pleased to announce the following special issue in Entropy on information decompositions. We hope that you will consider submitting a new research paper or review, etc., on this topic. If you are planning to submit, we would appreciate it if you could let us know in advance. Special Issue: "Information Decomposition of Target Effects from Multi-Source Interactions" http://www.mdpi.com/journal/entropy/special_issues/Information_Decompositio… Submission Deadline: May 31, 2017 (open for submission now!) Editors: * Dr. Joseph Lizier; Centre for Complex Systems, Faculty of Engineering and IT, The University of Sydney, Australia * Dr. Nils Bertschinger; Frankfurt Institute of Advanced Studies (FIAS), Frankfurt, Germany * Prof. Juergen Jost; Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany and Santa Fe Institute, NM, USA * Prof. Michael Wibral; MEG Unit, Brain Imaging Center, Goethe University, Frankfurt, Germany Shannon information theory has provided rigorous ways to capture our intuitive notions regarding uncertainty and information, and made an enormous impact in doing so. One of the fundamental measures here is mutual information, which captures the average information contained in one variable about another, and vice versa. If we have two source variables and a target, for example, we can measure the information held by one source about the target, the information held by the other source about the target, and the information held by those sources together about the target. Any other notion about the directed information relationship between these variables, which can be captured by classical information-theoretic measures (e.g., conditional mutual information terms) is linearly redundant with those three quantities. However, intuitively, there is strong desire to measure further notions of how this directed information interaction may be decomposed, e.g., how much information the two source variables hold redundantly about the target, how much each source variable holds uniquely, and how much information can only be discerned by synergistically examining the two sources together. These notions go beyond the traditional information-theoretic view of a channel serving the purpose of reliable communication, considering now the situation of multiple communication streams converging on a single target. This is a common situation in biology, and in particular in neuroscience, where, say, the ability of a target to synergistically fuse multiple information sources in a non-trivial fashion is likely to have its own intrinsic value, independently of reliability of communication. The absence of measures for such decompositions into redundant, unique and synergistic information is arguably the most fundamental missing piece in classical information theory. Triggered by the formulation of the Partial Information Decomposition framework by Williams and Beer in 2010, the past few years have witnessed a concentration of work by the community in proposing, contrasting, and investigating new measures to capture these notions of information decomposition. Other theoretical developments consider how these measures relate to concepts of information processing in terms of storage, transfer and modification. Meanwhile, computational neuroscience has emerged as a primary application area due to significant interest in questions surrounding how target neurons integrate information from large numbers of sources, as well as the availability of data sets to investigate these questions on. This Special Issue seeks to bring together these efforts, to capture a snapshot of the current research, as well as to provide impetus for and focused scrutiny on newer work. We also seek to present progress to the wider community and attract further research. We welcome research articles proposing new measures or pointing out future directions, review articles on existing approaches, commentary on properties and limitations of such approaches, philosophical contributions on how such measures may be used or interpreted, applications to empirical data (e.g., neural imaging data), and more. Submission information Please see the special issue website for full details. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on the website. Entropy is an open access journal which maintains a rigorous and fast peer-review system and accepted papers are immediately published online. The Impact Factor in 2015 for Entropy is 1.743 and it is fully covered by the leading indexing and abstracting services, including Google Scholar, MathSciNet, Scopus and Science Citation Index Expanded (Web of Science). The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Regards, Joe, Nils, Michael and Juergen -- -- Dr. JOSEPH LIZIER | ARC DECRA Fellow | Senior Lecturer Complex Systems Research Group Faculty of Engineering and IT THE UNIVERSITY OF SYDNEY Rm 338A, Building J05 | The University of Sydney | NSW | 2006 T+61 2 9351 3208 | F+61 2 9351 3343 | M+61 408 186 901 E joseph.lizier(a)sydney.edu.au | W sydney.edu.au TW @jlizier | W lizier.me/joseph CRICOS 00026A This email plus any attachments to it are confidential. Any unauthorised use is strictly prohibited. If you receive this email in error, please delete it and any attachments. Please think of our environment and only print this e-mail if necessary.

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Two Ph. D. positions in Ottawa, Canada (Naud Lab)
by Richard Naud March 22, 2017

March 22, 2017

Applications are invited for two Ph. D. candidate positions starting immediately at the University of Ottawa to investigate features of dendritic integration and inhibitory microcircuit function using statistical and computational approaches. The researcher will join a collaborative group with expertise in cellular electrophysiology, two-photon imaging/uncaging, optogenetics, advanced computational modelling and statistical processing (Dr Jean-Claude Béique, Dr. Simon Chen, Dr. André Longtin, Dr. Len Maler, main supervisor: Dr. Richard Naud). The research opportunity will focus on statistical analysis of neural data and computational modelling of neural systems. This fully funded position is available immediately, with attractive conditions. The candidate is expected to be competitive for external fellowships. The researcher will join uOttawa’s Brain and Mind Research Institute’s Center for Neural Dynamics (Department of Cellular and Molecular Medicine; Faculty of Medicine). uOttawa’s Neuroscience community is fast expanding, highly dynamic and offers a rich array of collaborative opportunities. Ottawa, the capital of Canada, is a green, multi-cultural city that offers the highest standard of living in the country and is second worldwide for quality of life (Numbeo index, 2015). The city has many parks including the Unesco World Heritage Rideau Canal and is surrounded by an extensive greenbelt. This bilingual, culturally-rich city lies along the border between the province of Quebec and Ontario and is within driving distance to Montréal and Toronto. To apply, please send CV with reference contacts and s short description of your interests to rnaud(a)uottawa.ca. Only selected applicatants will be contacted. Employer Profile The University of Ottawa is a bilingual research university in Ottawa, Ontario, Canada. The university offers a wide variety of academic programs, administered by ten faculties. It is a member of the U15, a group of research-intensive universities in Canada. In the Maclean’s 2015 Canadian University rankings, the University of Ottawa ranked 2nd for Medical/Science Grants, 2nd for Scholarships & Bursaries and 1st for Student Services in the Medical/Doctoral University category. These rankings reflect the increased competitiveness of UofO's research both nationally and internationally.

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3.5 years PhD position: Neurogeometry of Vision, deadline 30th of March (Daniele Avitabile)
by Daniele Avitabile March 22, 2017

March 22, 2017

A PhD scholarship in mathematical and computational neuroscience on The neurogeometry of vision is available at the University of Nottingham, within the Modelling and Analytics for Medicine and Life sciences Doctoral Training Centre (http://www.nottingham.ac.uk/mathematics/prospective/research/maml.aspx) This 3.5 year PhD scholarships starts in September 2017. Successful applicants will receive a stipend (£14,553 per annum for 2017/8) for up to 3.5 years, tuition fees and a Research Training Support Grant. Fully funded studentships are available for UK applicants. EU applicants who are able to confirm that they have been resident in the UK for a minimum of 3 years prior to the start date of the programme may be eligible for a full award, and may apply for a fees-only award otherwise. Applications: Please apply via the Training Centre website. Applicants for the MAML programme should have at least a 2:1 degree in mathematics, statistics or a similarly quantitative discipline (such as physics, engineering, or computer science). Completed applications should be submitted by Midnight GMT Thursday, 30 March<http://airmail.calendar/2017-03-31%2001:00:00%20BST> 2017. Supervisors: Dr Daniele Avitabile (School of Mathematical Sciences) Professor Alan Johnston (School of Psychology), Professor Stephen Coombes (School of Mathematical Sciences) Project description: Neural field models are now in common usage in mathematical neuroscience to describe the coarse-grained activity of cortical tissue [1]. For mathematical convenience they often assume that anatomical connectivity is homogenous. However, this is far from the truth. For example, in the primary visual cortex (V1) it is known that there are maps reflecting the fact that neurons respond preferentially to stimuli with particular features. The classic example is that of orientation preference (OP), whereby cells respond preferentially to lines and edges of a particular orientation. The OP map changes continuously as a function of cortical location, except at singularities or pinwheels. The underlying periodicity in the microstructure of V1 is approximately 1mm, the domain of which corresponds to the so-called cortical hypercolumn. Other anatomical evidence suggests that longer-range, patchy horizontal connections link neurons in different hypercolumns provided that they have similar orientation preferences. This project will consider a field of hypercolumns that respects this biological reality. The mathematical model will be that of an integro-differential equation for V1 activity, with V1 viewed as a fiber bundle that associates to every point of the cortex (or retina by the retino-cortical map) a copy of the unit circle [2]. The project will focus on combining realistic retino-cortical maps [3] with next generation neural field models [4] and state-of the art numerical methods [5] to understand not only mechanisms for visual illusions, but also basic notions of how biological tissue can perform visual computations for image completion. The project will involve a mix of high performance scientific computation, nonlinear dynamics, differential geometry, and an enthusaism for learning about visual neuroscience. References 1. S Coombes, P beim Graben and R Potthast, 2014. Tutorial on Neural Field Theory, Neural Fields, Ed. S Coombes, P beim Graben, R Potthast and J J Wright, Springer Verlag 2. P C Bressloff and J D Cowan, 2003. The functional geometry of local and horizontal connections in a model of V1. Journal of Physiology-Paris, 97:221TH236. 3. A Johnston 1989 The geometry of the topographic map in striate cortex. Vision Research, 29, 1493-1500 4. A Byrne, D Avitabile and S Coombes, 2017. A next generation neural field model: The evolution of synchrony within patterns and waves, preprint 5. J Rankin, D Avitabile, J Baladron, G Faye, DJB Lloyd, 2014. Continuation of localized coherent structures in nonlocal neural field equations. SIAM Journal on Scientific Computing 36 (1), B70-B93. This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

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3.5 years PhD position: The impact of gyrification on cortical activity, deadline 30th of March (Daniele Avitabile)
by Daniele Avitabile March 22, 2017

March 22, 2017

A PhD scholarship in mathematical and computational neuroscience on The impact of gyrification on cortical activity is available at the University of Nottingham, within the Modelling and Analytics for Medicine and Life sciences Doctoral Training Centre (http://www.nottingham.ac.uk/mathematics/prospective/research/maml.aspx) This 3.5 year PhD scholarships starts in September 2017. Successful applicants will receive a stipend (£14,553 per annum for 2017/8) for up to 3.5 years, tuition fees and a Research Training Support Grant. Fully funded studentships are available for UK applicants. EU applicants who are able to confirm that they have been resident in the UK for a minimum of 3 years prior to the start date of the programme may be eligible for a full award, and may apply for a fees-only award otherwise. Applications: Please apply via the Training Centre website. Applicants for the MAML programme should have at least a 2:1 degree in mathematics, statistics or a similarly quantitative discipline (such as physics, engineering, or computer science). Completed applications should be submitted by Midnight GMT Thursday, 30 March 2017. Supervisors: Dr Daniele Avitabile (School of Mathematical Sciences), Dr Stamatios Sotiropoulos (School of medicine), Professor Stephen Coombes (School of Mathematical Sciences), Professor Paul Houston (School of Mathematical Sciences) Project description: The large number of neurons forming the cortex are intricately connected and, to a first approximation, can be modelled as a continuum in space. Neural field models, which make this assumption, have been used to model large-scale neural activity observed in electroencephalogram and magnetoencephalogram neuroimaging studies. Spatio-temporal patterns in these models are relevant to understand epileptic seizures, visual hallucinations and short-term working memory (see [1,2] and references therein). When neural fields are posed on flat surfaces, analytical progress can be made to understand the origin of a wide variety of activity patterns (stripes, localised spots, hexagons, travelling waves, spiral waves). Our brain, however, is not flat. Sculped on the cortical surface are characteristic bumps and grooves, known as gyri and sulci, respectively. This heterogeneity is not only geometrical: neurons have a heterogeneous density and a heterogeneous synaptic wiring (see image above, where densely connected regions are coloured in red). This project will use methods from dynamical systems and computational science to develop a theory for the evolution of synaptic activity on folded brains. We will address the following questions: Tractography and neuroimaging techniques provide us with a detailed map of gyri, sulci and neural wiring. Can we incorporate heterogeneities into neural fields? We expect that curvature plays an important role in pattern selection [3]. What is the effect of the gyrification on neural activity? If a pattern of cortical activity is observed in a model of a "flat brain", will it persist on a "curved brain"? Are cortical waves accelerated/decelerated by curvature and heterogeneities? The analytical techniques used to study patterns in flat cortices have a numerical counterpart on curved surfaces [4]. Owing to recent developments in neural field theory, it has now become possible to track and analyse patterns numerically and predict whether they will be observable in experiments [5]. Can we develop robust and efficient algorithms to perform bifurcation analysis on generic folded cortices? References 1. S Coombes, P beim Graben and R Potthast (2014) Tutorial on Neural Field Theory, Neural Fields, Ed. S Coombes, P beim Graben, R Potthast and J J Wright, Springer Verlag. 2. P C Bressloff (2012). Spatiotemporal dynamics of continuum neural fields. Journal of Physics A: Mathematical and Theoretical, 45(3), 033001. 3. S Visser, R Nicks, O Faugeras and S Coombes (2017) Standing and travelling waves in a spherical brain model: the Nunez model revisited, Physica D, to appear. 4. D Avitabile, P Matthews, R Nicks, O Smith (2017). Patterns of cortical activity in neural fields posed on spherical domains. Preprint. 5. J Rankin, D Avitabile, J Baladron, G Faye, D J B Lloyd (2014) Continuation of localized coherent structures in nonlocal neural field equations. SIAM Journal on Scientific Computing 36 (1), B70-B93. This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

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Postdoc Position at the University of Goettingen in Computational Neuroscience / Retinal Neurophysiology
by Gollisch, Tim March 22, 2017

March 22, 2017

Three postdoc positions are available in the lab of Tim Gollisch at the University Medical Center Goettingen, Germany. Information about the lab can be found at http://www.retina.uni-goettingen.de/. The positions are funded by the ERC Consolidator Grant "CODE4Vision", which will start in June 2017 and run for five years. The project revolves around analyzing the functional connectivity in the neural network of the retina by means of electrophysiological recordings from mouse retina, application of machine learning for data analysis, computational modeling of retinal signal processing, and development of closed-loop physiology experiments. The goals include the development of computational models that capture how the retina encodes natural visual stimuli. Furthermore, we will apply these models to explore optogenetic vision restoration therapies, which we will test with originally blind, optogenetically treated mice. The three postdocs to be hired will focus on different aspects of the CODE4Vision project, such as 1) computational and machine learning-based analysis of large-scale multielectrode array recordings from the retina (up to several thousand electrodes), classification of cell types, statistical inference to extract the layout of presynaptic inputs, and development of computational models; 2) development of closed-loop physiology experiments to extract relevant response characteristics of recorded ganglion cells during the experiment and optimize stimulus presentation "on the fly" to obtain detailed computational models; 3) direct assessment of functional connectivity in the retina by dual recordings (multielectrode arrays plus intracellular electrodes) and comparing responses to current injection and visual stimulation. What will be expected of the applicants? - PhD in neuroscience, computer science, biology, physics, math, engineering or something equivalent - Track record (e.g. publications) showing the candidate's ability to pursue high-quality research - Strong motivation to perform neuroscience research and to integrate experimental and computational approaches - Experience with either electrophysiological methods or computational analyses and computer programming - Ability to integrate into a team - Ability to think independently and advance the project by developing and pursuing own ideas for experiments and analyses - Good command of English (which is the working language in the lab) The positions are for 2 years initially with possibility for renewal. Potential starting dates are from June 2017 onwards, and applications will be considered until the positions are filled. Please send your application to Tim Gollisch (tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de>), including a CV as well as names and contact details for at least two references. Also make sure to include a statement of why this project interests you and how you think you could contribute, based on your scientific background. The University Medical Center Goettingen is an equal opportunities employer, and women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. -- Prof. Dr. Tim Gollisch University Medical Center Goettingen, Dept. of Ophthalmology Waldweg 33, 37073 Goettingen Tel. +49 (0)551 39-13542 tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de> www.retina.uni-goettingen.de<http://www.retina.uni-goettingen.de>

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Call for participation in the Frontiers Research Topic "Machine Learning in Imaging Neurodevelopment and Neurodegeneration"
by Budhachandra Khundrakpam March 22, 2017

March 22, 2017

Hi, We would like to invite you to consider contributing an article to the Frontiers research topic “Machine Learning in Imaging Neurodevelopment and Neurodegeneration”. Here is the link http://journal.frontiersin.org/researchtopic/5986/ machine-learning-in-imaging-neurodevelopment-and-neurodegeneration This research topic intends to help advance the scientific research within the field of machine learning in neuroimaging so as to realize the potential of machine learning to translate neuroimaging data into tools that can directly aid clinicians in diagnosis and therapy for neurodevelopmental and neurodegenerative disorders, such as autism, schizophrenia, Alzheimer’s disease, and Parkinson’s disease, amongst others. For such purposes, this Research Topic welcomes original research and review articles that highlight major trends and challenges in the field and aim to identify new cutting-edge machine learning approaches and their applications in imaging neurodevelopment and neurodegeneration. Potential topics of interests include, but are not limited to: • Machine learning analyses using large-scale neuroimaging data • Computer-aided diagnosis/prognosis for neurodevelopmental and neurodegenerative disorders • Analytical tools and software for computer-aided diagnosis/prognosis • Multimodal fusion for outcome prediction, diagnosis/prognosis, image analysis • Computer-aided lesion detection for neurodegeneration • Machine learning analyses combining neuroimaging and genetics You can submit your work on our Special Issue to one of the journals - Frontiers in Neuroscience, Frontiers In Neurology, Frontiers in Psychiatry, Frontiers in Pediatrics, Frontiers in Computational Neuroscience or Frontiers in Human Neuroscience. Cheers, Budha -- Budhachandra Khundrakpam Research Associate McConnell Brain Imaging Centre Montreal Neurological Institute McGill University Montreal, Canada - H3A 2B4 Phone # 5143986174

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Postdoctoral Position in Computational Neuroscience In Paris
by Juergen Reingruber March 21, 2017

March 21, 2017

Job Offer: A postdoctoral position in computational neuroscience is available to analyze and model the spiking response of olfactory receptor neurons to odorant stimuli. The project is in collaboration with the experimental research group of Philippe Lucas at INRA Versailles (http://ieesparis.ufr918.upmc.fr/spip.php?article244&lang=en) and Jürgen Reingruber at Ecole Normale Supérieure in Paris (http://www.biologie.ens.fr/~reingrub/index.html) Duration: 2 years. After this period, successful candidates are given a promising opportunity to apply for a permanent INRA position. Location: Shared between INRA Center in Versailles and Ecole Normale Supérieure in Paris. Project description: Binding of odorants to their cognate receptors on olfactory receptor neurons (ORNs) initiates a signal transduction cascade that leads to the opening of both cationic and anionic ion channels in the dendritic membrane. The subsequent transduction current entails a sequence of action potentials in the soma. The overall goal of the project is to analyze electrophysiological recordings of action potentials obtained in the lab of Philippe Lucas (from moths and Drosophila), and, using a molecular model for the transduction current developed by Jürgen Reingruber, to derive a Hodgkin-Huxley type of model that explains how the stimulus dependent transduction current is transformed into a sequence of action potential firings. Ultimately, this will unravel how an ORN encodes the intensitive and temporal properties of odorant stimuli into sequences of action potentials transmitted to subsequent neuronal layers. Application and starting date: INRA provides basic funding for the project. However, to ensure a high quality, INRA additionally requires that candidates successfully apply for an AgreenSkills+ incoming fellowship (https://www.agreenskills.eu) an international postdoctoral fellowship program co-funded by the European Union and coordinated by INRA. During the past years the application success rate was around 36%. With the fellowship the postdoc will be endowed with exceptional financial conditions including monthly gross salaries ranging from 3,500 to 4,800 €. In addition, successful candidates are given a promising chance to apply for a permanent INRA position after the postdoc. The next call for AgreenSkills+ submissions is 28 April 2017. Subsequent starting date is flexible. Candidate Profile: We are looking for a highly motivated post-doc with interest in sensory transduction and computational neuroscience. Applicants should have solid foundations in physics, applied mathematics and computer simulations. A background in neuroscience would be welcome. Furthermore, the candidate should be interested in working in an interdisciplinary environment, analyzing electrophysiological data and interacting with experimentalists. Excellent written, verbal, and interpersonal skills are desired. Speaking French is not mandatory. Interested candidates should send a cover letter summarizing their expertise and research interests, a CV with publications and 2 recommendation letters to Philippe Lucas (philippe.lucas(a)inra.fr) and Jürgen Reingruber (reingrub(a)ens.fr) -- Jürgen Reingruber, PhD Institute of Biology (IBENS) École Normale Supérieure 46 rue d'Ulm, 75005 Paris, France Tel: +33 (0)1 4432 3662 Fax: +33 (0)1 4432 8887

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[job] Call for postdoc application in Intrinsically Motivated Deep Reinforcement Learning, at Flowers Lab, Inria (Bordeaux, France)
by Pierre-Yves Oudeyer March 20, 2017

March 20, 2017

[We apologize if you receive multiple copies of this message] Call for postdoc application in Intrinsically Motivated Deep Reinforcement Learning, at Flowers Lab, Inria (Bordeaux, France) Deadline: 30th march Eligibility: candidates should have obtained their PhD diploma after 1st september 2015 https://flowers.inria.fr We are searching outstanding candidates for a postdoc (16 months) who will be working on algorithms for lifelong Deep Learning for robotics, and in particular: - unsupervised or self-supervised deep learning - generative networks such as GANs and/or variational auto-encoders - deep reinforcement learning for robotic control - Intrinsic motivation and curiosity - multi-task reinforcement learning, auxiliary tasks Selected candidates will have the opportunity to work with one of the robotics platforms of the Flowers lab, including several Poppy Humanoid robots and starting from the experimental setup that was runner up for the NIPS 2016 demonstration award, and showing intrinsically motivated multi-task reinforcement learning in real-time on real robots, with interaction with humans (http://goo.gl/03FW4k) or the Baxter humanoid robot (http://goo.gl/nSS7Yp) Candidates should already have shown very strong experience and achievements, shown by publications in top-tier AI/machine learning conferences and journals (e.g. NIPS, ICML, ICLR) in either: - deep learning (both theory and practical implementations) - Reinforcement learning for policy learning of parameterized skills in robotics How to apply =========== CVs and letters of motivation should be sent to Pierre-Yves Oudeyer (pierre-yves.oudeyer(a)inria.fr) before 30th march. The successful candidate would begin to work in september 2017. Deadline: 30th march Eligibility: candidates should have obtained their PhD diploma after 1st september 2015 Pierre-Yves Oudeyer Research director, Inria Head of Flowers Lab Inria and Ensta ParisTech http://www.pyoudeyer.com https://flowers.inria.fr More info: The Flowers Lab: developmental robotics and lifelong multitask machine learning =================================================================== The Flowers Lab, headed by Pierre-Yves Oudeyer, gathers a team of ~20 members and has been one of the pioneers of developmental robotics and lifelong machine learning and artificial intelligence in the last decade, in particular through developping models of intrinsically motivated learning of repertoires of skills that have both contributed to advance understanding of human curiosity and development, and to advance incremental online multitask machine learning techniques in difficult high-dimensional robotic spaces. This work in the Flowers lab is conducted in the context of large international projects (e.g. ERC grant, European projects 3rdHand and DREAM, HFSP project Neurocuriosity), with interdisicplinary collaborations with other labs in neuroscience, psychology, machine learning and robotics. The successful candidates would be directly involved in these international collaborations. The Flowers lab has recently spin-off the Pollen Robotics startup company, and is involved in multiple collaborations with industrials through Inria's strong support towards impacting both science and industry. Inria and EnstaParistech =================== The lab is within Inria, which is a prestigious, and also the largest, public European research insitution focused on computer science, mathematics and their applications. Inria's teams and researchers (> 2800 employees) have received prestigious awards, coordinate many international projects, and have created strong innovations now used in many parts of industry. Inria research center in Bordeaux gathers around 300 researchers. The Flowers Lab is also associated to EnstaParisTech, which is a prestigious French engineering school (university). Bordeaux ======== The Flowers lab in Bordeaux is located in a great building on the border of one of the world most famous vineyard, and 10mn by tram from Bordeaux town center (and 2 hours from Paris through high-speed trains): https://www.inria.fr/en/centre/bordeaux Bordeaux has been recently rated by Lonely Planet as the world's best city to visit: http://www.independent.co.uk/travel/news-and-advice/best-cities-in-the-worl…

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Call for participation in the Frontiers Research Topic “Neuromodulation of Circuits in Brain Health and Disease”
by Ramaswamy Srikanth March 20, 2017

March 20, 2017

We would like to invite you to consider contributing an article to the Frontiers research topic “Neuromodulation of Circuits in Brain Health and Disease”. The research topic is hosted by: Srikanth Ramaswamy, Henry Markram, Mriganka Sur, Anita Disney, Menahem Segal, Michael E Hasselmo, Seung-Hee Lee, Alexander Thiele, and Amy F T Arnsten. The overarching goal of this research topic is to rekindle the field of neuromodulation by providing a state-of-the-art and unifying view of the mechanisms by which a diversity of neurotransmitters and neuromodulators such as acetylcholine (ACh), dopamine (DA), noradrenaline (NE), serotonin (5-HT) and histamine (HA) - the master switches - control genes, proteins, neurons and glia, dendrites, synapses, and emergent states in neural circuits across different brain regions in health and disease. Concretely, our hope is that this research topic will a) establish an up to date view of neuromodulatory control of brain states by ACh, DA, NE, 5-HT, and HA that is encyclopedic in breadth and depth, and b) establish future research directions. Additionally, we also plan to organize a conference to discuss the state-of-the-art and future of neuromodulation research. Contributing authors to this research topic will be invited to present at the conference. The conference will be held at the EPFL campus in Lausanne, Switzerland in September 2017 and further details will be sent out in due course. Frontiers research topics initially require the submission of an abstract of your work, which will be considered by the topic editors to determine if it falls within the goals of the research topic. Approved abstracts will then be invited to submit a complete manuscript. Depending on the article type, Frontiers has article processing charges (APCs). They range from free to 2490$ for original research articles or reviews (please see http://home.frontiersin.org/about/publishing-fees) If submitted to a Research Topic within the deadline there is a 15% reduction for some article types. Frontiers also has a waiver program so that APCs do not stand in the way of science. Key dates for this research topic are as follows: 1. Abstract submission deadline – 1st May 2017 2. Manuscript submission deadline – 1st July 2017 We very much hope to include your valuable work in this area within this research topic to help make it a key reference and a new resource for neuromodulation research. Yours in Neuroscience, Srikanth Ramaswamy Henry Markram Mriganka Sur Anita Disney Menahem Segal Michael Hasselmo Seung-Hee Lee Alexander Thiele Amy Arnsten

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3 years funded Phd in New insights into ADHD through behavioural and modelling studies, Deadline 28th of April
by Eirini Mavritsaki March 20, 2017

March 20, 2017

3 years funded PhD New insights into ADHD through behavioural and modelling studies Applications are invited for a 3-year PhD studentship within the Division of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: There are many limitations on the behaviour of complex neural systems, but one primary constraint is to filter incoming input in order that actions can be programmed to behaviourally relevant stimuli. A major challenge for current-day researchers is to understand how (and why) these limitations arise, especially in conditions like attention deficit hyperactivity disorder (ADHD) where the attentional system is dysfunctional. The main aim of this project is to identify and understand the differences in visual attention between children diagnosed with ADHD and typically functioning children and the role of diet in this. This Ph.D. thesis aims to do this using a novel interdisciplinary approach, behavioural and computational modelling study. The PhD is in collaboration with Prof. John Clibbens and Dr Amy Cook. The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. This centre is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant will have the opportunity to have teaching experience, to participate to research seminars and to co-supervise undergraduate projects. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki(a)bcu.ac.uk<mailto:Eirini.mavritsaki@bcu.ac.uk>). For application and interview dates please see below, Deadline of Application 28th of April. Candidate Qualification and Specifications: Essential Ø The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or a related area to the topic. Ø A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). Ø The applicant will be expected to undertake and pass Disclosure and Barring Service (DBS) checks. Ø The applicant should enjoy working with children. Ø Experience in C++ and/or Matlab. Desirable Ø A Masters’ degree in research methods, psychology or a computational modelling. Ø Work experience (voluntary or paid) in schools or experience working with children. Ø Access to a car and a valid driving licence. Ø Computational modelling experience. Application Process (Deadline of application 28th of April) You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees Please feel free to contact us if you have any questions for the application and to express interest. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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3 years funded PhD in oscillatory behaviour in Alzheimer’s disease to establish biomarkers, Deadline 28th of April
by Eirini Mavritsaki March 20, 2017

March 20, 2017

3 years funding PhD Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational programme of PhD study Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri). The project is collaborative work between Birmingham City University (Dr Eirini Mavritsak) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data by Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier’s. The University of Birmingham team have identified oscillatory changes that also predict progression to Alzheimer’s, opening up the possibility that an effective EEG-based early-stage biomarker of Alzheimer’s might be within reach. We plan to simulate this data and the changes observed in it using a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model. The successful applicant will join the Centre for Applied Psychological Research (CAPresearch) within the Department of Psychology at Birmingham City University. CAPresearch is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects. The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki(a)bcu.ac.uk<mailto:Eirini.mavritsaki@bcu.ac.uk>) or Prof. Howard Bowman (H.Bowman(a)bham.ac.uk<mailto:H.Bowman@bham.ac.uk> ). For application please see below, deadline of application 28th of April. Candidate Qualification and Specifications: Essential Ø The applicant should hold a good undergraduate honours degree (First or 2:1) in related area. Ø The applicant should have experience of computational models, evidenced by previous work or masters degree. Ø A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). Ø Experience in C++ and Matlab. Desirable Ø A Masters’ degree in research methods, psychology or computational modelling Application Process (Deadline of application 28th of April) You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees Please feel free to contact us if you have any questions for the application and to express interest. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Research Associate in Functional Brain Mapping
by Wong-Lin, Kongfatt March 20, 2017

March 20, 2017

Research Associate in Functional Brain Mapping Applications are invited for a Post-Doctoral Research Associate (PDRA) in functional brain mapping (FBM) to work on a project aimed at discovering neuromarkers that facilitate stratification of patients with Alzheimer´s disease. The position is currently for 2 years, with possibility for further extension subject to securing funder’s approval. Job Ref at http://www.ulster.ac.uk/jobs: 1632872 Salary: £26,844 to £39,347 Closing Date: 4th April 2017 Duties The successful candidate will use MEG data recorded during cognitive tasks, stimulations, and resting state protocols to explore functional connectivity and other appropriate measures for characterizing individuals with different stages of AD and detecting individuals at the risk of developing AD. S/he will also develop and evaluate methods for assessing treatment effects on individuals with AD in collaboration with industry. Northern Ireland Functional Brain Mapping (NIFBM) facility The NIFBM is located at the Intelligent Systems Research Centre (isrc.ulster.ac.uk<http://isrc.ulster.ac.uk>) of Ulster University, Magee campus, Derry~Londonderry. It is the only brain imaging facility anywhere in Ireland and only one of nine in whole of UK to use a state-of-the-art magnetoencephalography (MEG) to measure brain activity. The facility attracts clinicians and researchers from across Northern Ireland as well as Republic of Ireland. It is equipped with the latest whole head 306 channels Elekta Neuromag MEG TRIUX system, which also includes a 128-channel EEG recording system. We offer several advanced techniques for brain stimulation and analysis that allow us to obtain better results and guarantee a high quality service for both research and clinical applications. The ISRC is a major research unit in the Faculty of Computing and Engineering and hosts around 80 researchers including academic staff, research associates and PhD students organized in four research teams: Neural Systems and Neuro-technology, Computational Neuroscience and Neural Engineering, Cognitive Robotics, and Ambient Intelligence and Virtual Worlds. Based at ISRC, the successful candidate will have an opportunity to interact with researchers from related ISRC teams as well as Biomedical Sciences Research Institute (5* research rating), and the recently developed Centre for Stratified Medicine at Ulster University. Eligibility Requirements An eligible candidate should have a degree in Computing Science, Electronic Engineering, Physics, or a closely related discipline, or a higher degree in the same or related subjects. Applicants with other relevant degrees e.g. medicine, neuroscience or biomedical sciences may also be considered, subject to demonstration of substantial neuroimaging expertise. A PhD degree in an area relevant to the post is also an essential requirement. It is also required that a candidate: * Has extensive hands-on MEG experience including protocol design, setting up experiments and stimulations, and data acquisition; * Has strong skills and expertise in MEG analysis using modern tools such as Fieldtrip, SPM, MNE, and/or Brainstorm; * Has research track record in cognitive neuroscience and/or Alzheimer’s disease supported by at least two high quality journal publications suitable for submission in to UK’s Research Excellence Framework (REF); * Is a self-motivated individual, enjoys working in a team and interacting with researchers and study participants. Please apply on-line by visiting either our university web-site http://www.ulster.ac.uk/jobs or the advertisement appearing at: http://www.jobs.ac.uk/job/AXT197/research-associate-in-functional-brain-map… For more information, please contact Prof. Girijesh Prasad, Principal Investigator & Director NIFBM. E-mail: g.prasad(a)ulster.ac.uk<mailto:g.prasad@ulster.ac.uk>, Phone: 028 71675645. This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Course announcement: CAMP@Bangalore 2017
by Sahil Moza March 20, 2017

March 20, 2017

We would like to announce CAMP@Bangalore 2017 from 19 July 2017 to 3 August 2017. Please see the course website at http://camp.ncbs.res.in/ CAMP @ Bangalore (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. The course consists of four modules covering sub-cellular electrical models, micro-circuits and network models, detailed models with electrical and chemical components, and systems level models, all with an emphasis on learning, memory and plasticity. All modules will have their own hands-on projects. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Confirmed instructors include: Andrew Holmes (National Institutes of Health, Bethesda, Maryland) Arvind Kumar (KTH, Stockholm) Avrama Kim Blackwell (George Mason University, Virginia) Joshua A. Gordon (National Institute of Mental Health, Bethesda, Maryland Rishikesh Narayanan (Indian Institute of Science, Bangalore) Sachin Deshmukh ( Indian Institute of Science, Bengaluru) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Sumantra Chattarji (NCBS, Bangalore) Upinder Bhalla (NCBS, Bangalore) Course Organizers: Upinder Bhalla (NCBS, Bangalore) Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) -- Sahil Moza PhD student National Centre for Biological Sciences, TIFR, Bangalore, India

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Postdoc positions in Neuromorphic computing in Singapore
by Yansong Chua March 20, 2017

March 20, 2017

Multiple scientist and research engineer positions are available in Singapore, at the Institute for Infocomm Research (I2R), A*STAR, Singapore. This project is part of a large multidisciplinary grant in neuromorphic technologies involving multiple universities and research institutions in Singapore (NUS, NTU, IME, IHPC, I2R). The project is focused on building a new neuromorphic chip using RRAM that enables on-chip learning, together with a suite of learning algorithms that would then be deployed in applications in the advanced manufacturing domain. The total grant is for 4 years, with a budget of S$25,000,000. The primary scope of our research is to develop spike-based computing and learning algorithms for deep spiking neural networks on a neuromorphic chip. Specifically, we are interested in employing spikes in information processing and learning. To this end, successful candidates will conduct research in one or more of the following areas: - Neuronal coding. What coding and readout strategy underlie spike-based representation. How to encode external stimuli into spike based representations and how to readout information from spike activities. - Learning. How does neurons adapt their synaptic weights to perform a given task under cases of supervised, unsupervised and reinforcement signals. What are the underlying mechanisms for deep-structured network learning. - System integration and applications. How to integrate different computational principles into a system and apply it to solve different practical tasks. Two particular focus of research are: - Deep reinforcement learning on a neuromorphic platform for the control of robots deployed in the advanced manufacturing domain - Compressing and mapping of state-of-art deep learning networks onto a neuromorphic platform, for either inference (only) or both training and inference. Preference will be given to candidates who can document knowledge in machine learning, neural networks, information processing, system design or hardware implementation with VLSI and FPGA. Candidates must have a PhD (for scientists) or MS/BS (for engineers) in computer science, computational neuroscience or related fields. Strong programming and quantitative skills are highly desired. Candidates should be proficient in spoken and written English. The appointments will be for 3 years, and extended for another 1 year, after review. Salaries are commensurate with internationally-competitive salaries and benefits. The start date is flexible and applications will be considered on a rolling basis until the positions are filled. Other benefits include: - Funding for international conferences and training courses - Collaboration opportunities with an excellent network of international scientists Candidates please send your curriculum vitae, a statement of research interests and three references to Dr. Yansong Chua (chuays(a)i2r.a-star.edu.sg) or Dr. Qiang Yu (yuqiang(a)i2r.a-star.edu.sg) More information: - Institute for Infocomm Research: http://www.i2r.a-star.edu.sg/ - Working in Singapore: http://www.contactsingapore.sg/ professionals/why_singapore/

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faculty position
by Canavier, Carmen C. March 17, 2017

March 17, 2017

The Department of Cell Biology and Anatomy at the Louisiana State University Health Sciences Center, School of Medicine in New Orleans is seeking a full-time academic faculty member at the rank of Assistant to Associate Professor– Research in neurobiology on the non-tenure track. Departmental research strengths include, but are not limited to, synaptic physiology, electrophysiology, and computational neuroscience. The Centers of Excellence in Neuroscience, Alcohol and Drug Abuse, Cancer, and Cardiovascular Biology provide additional collaborative opportunities. The successful candidate is expected to work independently, as well as collaboratively, using existing shared departmental resources for routine molecular biology, cell microscopy, RNAscope, and a Linux cluster. Candidates must have a clear vision on how to maintain (or establish) a funded research program, as well as the skills and publication record to support this vision utilizing the resources available in the department. Qualifications * Ph.D, M.D. or M.D./Ph.D * Postdoctoral experience and a publication record commensurate with experience level About the School Additional information about the department and faculty is available on the LSUHSC website: http://www.medschool.lsuhsc.edu/cell_biology/ Applicant Instructions Candidates must submit a cover letter, current curriculum vitae, summary of research plans and contact information for 3-4 professional references in a single file attachment. You must apply online at https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/1…

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Cajal Course in Computational Neuroscience: Deadline March 27
by Jakob Macke March 17, 2017

March 17, 2017

CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE 6-26 August 2017, Champalimaud Centre for the Unknown, Lisbon, Portugal http://www.cccn.pt We have extended the application deadline to 27 March 2017 (midnight, CET time). DIRECTORS • Gilles Laurent (MPI Brain Research, Frankfurt, Germany) • Jakob Macke (Research Center Caesar, an associate of the Max Planck Society, Bonn, Germany) • Christian Machens (Champalimaud Centre for the Unknown, Portugal) Computational Neuroscience is a rapidly evolving field whose methods and techniques are critical for understanding and modelling the brain, and also for designing and interpreting experiments. Mathematical modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements. This three-weeks school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning is devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students work on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects will be proposed by faculty before the course, and will include the modeling of neurons, neural systems, and behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. A four-day pre-school in mathematics and programming is offered for students that want to catch up on their math and programming skills. A maximum of 24 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. Stipends are available. More information on the course website, http://www.ccn.pt Apply here: http://www.fens.org/Training/CAJAL-programme/CAJAL-Courses-2017/CCCN2017/ Contact address: Simone Zacarias, simone.zacarias(a)research.fchampalimaud.org Faculty: Alberto Bernacchia University of Cambridge, UK Claudia Clopath Imperial College London, UK Anne Collins Helen Wills Neuroscience Institute, UC Berkeley, USA Sophie Denève Institut d'Etudes de la Cognition (IEC), France Rainer Engelken Max Planck, Goettingen, Germany David Fitzpatrick Max-Planck Florida Institute for Neuroscience, USA Julijana Gjorgjieva Max Planck Institute for Brain Research, Germany Pedro J. Gonçalves Research Center Caesar, Associate of Max Planck Society, Germany Richard Hahnloser Institute of Neuroinformatics, ETH Zurich, Switzerland Michael Häusser Wolfson Institute for Biomedical Research, University College London, UK Andreas Herz Bernstein Center for Computational Neuroscience Munich, Germany Matthias Kaschube Frankfurt Institute for Advanced studies, Germany Simon Laughlin University of Cambridge, UK Máté Lengyel University of Cambridge, UK Zhaoping Li University College London, UK Jennifer Linden UCL Ear Institute, UK Thomas Mrsic-Flogel Sainsbury Wellcome Centre, University College London, UK Joe Paton Champalimaud Centre for the Unknown, Portugal Astrid Prinz Emory University, USA Maneesh Sahani Gatsby Computational Neuroscience Unit, UCL, UK Thanos Siapas Caltech, USA Tatjana Tchumatchenko Max Planck Institute for Brain Research, Germany Andreas Tolias Baylor College of Medicine, USA Byron Yu Carnegie Mellon University, USA Jakob Macke Max Planck Research Group Leader Neural Systems Analysis research center caesar www.mackelab.org

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PhD position in Computational Neuroscience, Ruben Moreno-Bote Lab, Barcelona, Spain
by Ruben Moreno Bote March 17, 2017

March 17, 2017

*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 interested in mathematical modeling. The candidate will develop state of the art mathematical techniques 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 University Pompeu Fabra, and FLAG-ERA and MINECO grants. 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 -- Rubén Moreno Bote Serra Húnter 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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MIT-SENIOR UNITY 3D ENGINEER AND PROJECT LEAD
by Christopher Shay March 15, 2017

March 15, 2017

See below for a recently posted Job Opportunity: Job Description: SENIOR UNITY 3D ENGINEER AND PROJECT LEAD, McGovern Institute for Brain Research, to develop and lead a comprehensive Unity-3D-based interactive audio-visual simulation environment for use in training and testing artificial intelligence agents built using deep neural networks. Will join a group of laboratories based at MIT (DiCarlo lab) and Stanford (Yamins lab) that build neural network models of brain data and plan to use large quantities of simulated data to train these models. Primary responsibilities include developing and maintaining core modules for the code base, including high-quality rendering and physics plugins; procuring large numbers of realistic 3D assets for the environment and performing quality assurance to ensure they can be used together; and setting up and maintaining a large-scale, high-availability installation of the environment on a special-purpose Linux cluster. Job Requirements: REQUIRED: bachelor’s degree in computer science or software engineering (master’s in computer graphics or related field preferred); high level of competence in Unity-3D C# and Unity-3D software environments; expertise with a variety of modern rendering procedures, including approximate real-time and high-quality physically-based techniques; expertise in physics simulations, including methods for producing fast approximations to dynamics for complex objects; knowledge of 3D asset libraries and stores and issues with standardizing material properties for rendering and physics; ability to partner with colleagues and independently manage multiple projects/priorities while meeting changing deadlines, adapt to new technologies, and present information in a clear and cohesive manner; creative problem solving skills; ability to approach tasks with an eye toward efficiency and reproducibility; excellent written and oral communications skills; meticulous attention to detail; and proactive approach to investigative analysis. Experience in academic research highly desirable, particularly computational geometry and/or physically-based rendering. Job #14562 Please visit https://careers.mit.edu/ <https://careers.mit.edu/> to apply. Best, Christopher Shay, PhD Lab Manager DiCarlo Lab McGovern Institute Lab: (617) 452-3261 Fax:(617) 253-0104

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IARPA MICrONS Technical Supervisor Position (Washington, DC)
by Alyssa Picchini Schaffer March 15, 2017

March 15, 2017

Please contact David Markowitz if interested: david.markowitz(a)iarpa.gov *Machine Intelligence from Cortical Networks (MICrONS) Technical Supervisor* Despite significant progress in machine learning over the past few years, today’s state of the art algorithms are brittle and do not generalize well. In contrast, the brain is able to robustly separate and categorize signals in the presence of significant noise and non-linear transformations, and can extrapolate from single examples to entire classes of stimuli. This performance gap between software and wetware persists despite some correspondence between the architecture of the leading machine learning algorithms and their biological counterparts in the brain, presumably because the two still differ significantly in the details of operation. The MICrONS program aims to achieve a quantum leap in machine learning by creating novel machine learning algorithms that use neurally-inspired architectures and mathematical abstractions of the representations, transformations, and learning rules employed by the brain. To guide the construction of these algorithms, performers will conduct targeted neuroscience experiments that interrogate the operation of mesoscale cortical computing circuits, taking advantage of emerging tools for high-resolution structural and functional brain mapping. The program is designed to facilitate iterative refinement of algorithms based on a combination of practical, theoretical, and experimental outcomes: performers will use their experiences with the algorithms’ design and performance to reveal gaps in their understanding of cortical computation, and will collect specific neuroscience data to inform new algorithmic implementations that address these limitations. Ultimately, as performers incorporate these insights into successive versions of the machine learning algorithms, they will devise solutions that can achieve human-like performance on complex information processing tasks with human-like proficiency. Position Requirements: Requirement 1: PhD in neuroscience, physics or a related discipline with 4 years of experience studying coding and computation in high-throughput recordings of neural activity from behaving animals using quantitative methods, such as dimensionality reduction, time series analysis, and machine learning approaches. Requirement 2: Demonstrated experience in at least 3 of the following disciplines: high-throughput electrophysiology, multi-photon microscopy, optogenetics, circuit mapping, methods for manipulating cognitive processes in behaving animals. Requirement 3: Training and demonstrated capabilities in applied mathematics and computer science. Must be proficient with at least one numerical analysis and statistics framework (e.g. NumPy, Matlab, R) and one general-purpose programming language (e.g. Python, Java, C). Requirement 4: Two years of experience coordinating collaborative projects with diverse technical contributors and aggressive timelines for achieving results, as evidenced by research publications, public data sets or other artifacts of work. Desired 1: Strong background in systems neuroscience, with at least 2 years of experience studying the circuit basis of cognition. Desired 2: Strong background in machine learning (ML), with at least 2 years of experience using modern ML techniques to support scientific research or solve other challenging problems. Desired 3: Formal training in theoretical neuroscience. Desired 4: Professional software development experience. Desired 5: Experience using cloud computing technologies.

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Bernstein Network Information Booth at 12th Göttingen Meeting of the German Neuroscience Society (NWG)
by Kerstin Schwarzwaelder March 15, 2017

March 15, 2017

Dear colleagues, The Bernstein Network Computational Neuroscience will have an exhibition booth at the upcoming NWG Meeting<https://www.nwg-goettingen.de/2017/default.asp> in Göttingen (March 22 - 25, 2017). Representatives of the Bernstein Network<http://www.nncn.de/en/start_page?set_language=en>, the SMART<http://www.smartstart-compneuro.de/>START training program in Computational Neuroscience<http://www.smartstart-compneuro.de/>, and G-Node<http://www.g-node.org/> will be present at the booth. The booth will present: * research fields * study and training programs * open positions * research and funding opportunities * infrastructural facilities: G-Node<http://www.g-node.org/> and Simulation Laboratory Neuroscience - Bernstein Facility for Simulation and Database Technology<http://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/_node.html> Furthermore, the G-Node will present their new data management service<http://www.g-node.org/gin> for storing, sharing, and publishing research data. Demo presentations will be given during poster session times. Conference participants are invited to come by the booth any time to try out the new service. We are looking forward to welcoming you at our booth! Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD in Computational Neuroscience at the University of Exeter (fully funded)
by James Rankin March 15, 2017

March 15, 2017

3.5 year college funded PhD Studentship in Computational Neuroscience: *Neural dynamics of perceptual competition * Ref: 2589 Open to UK, EU and International students with maintenance (£14,296 per year) and tuition fees fully funded http://www.exeter.ac.uk/studying/funding/award/?id=2589 This interdisciplinary project will use mathematical modelling, in conjunction with psychophysics (human perception experiments), to better understand the neural competition underpinning the dynamics of perception. Ambiguity in fixed sensory stimuli can lead to spontaneous switches in perception, both in vision, e.g. binocular rivalry, Necker cube, and audition, e.g. auditory streaming (switches between grouped or segregated interpretations of tone sequences). A set of common characteristics (inevitability of perceptual changes, exclusivity between the competing percepts, and randomness in the percept durations), generalise across sensory modalities. The neural competition driving these perceptual switches has been successfully modelled in small networks of Wilson-Cowan (firing rate) units, each associated with the different perceptual interpretations. For certain stimuli, where competition takes place across a continuous feature space (say, visual orientation, motion direction, or auditory pitch), a continuum model, such as the neural field equation can be applied. This PhD project will involve the derivation of perceptual competition models in a dynamical systems framework, based on plausible neural mechanisms commonly found in sensory cortex. Modelling hypotheses and predictions will be tested against experimental data collected in our lab or from collaborators. On the modelling side, tools from bifurcation analysis including numerical continuation will be applied to investigate dynamics. The project will be flexible in terms of the balance between modelling and experiments. Candidates with quantitative backgrounds (mathematics, physics, and engineering) and from neuroscience or psychology programmes are encouraged to apply. Programming experience and/or knowledge of dynamical systems theory is a plus. Contact: j.a.rankin(a)exeter.ac.uk Informal enquiries welcome. Application deadline: 10th April 2017 Please forward to interested parties as appropriate Thanks, James

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Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2017
by Kerstin Schwarzwaelder March 14, 2017

March 14, 2017

Dear colleagues, For the eighth time, the Bernstein Association for Computational Neuroscience<http://www.nncn.de/en/bernstein-association> is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2016 or 2017. The award is endowed with a travel grant of 2.000 € to cover a trip to Germany, including participation in the Bernstein Conference 2017 in Göttingen (www.bernstein-conference.de<http://www.bernstein-conference.de>), and an individually planned visit to up to two German research institutions in Computational Neuroscience. Deadline for application is April 27, 2017 (2:00 p.m. CET). Detailed information about the application procedure can be found under: www.nncn.de/en/bernstein-association/brains-for-brains-2017<http://www.nncn.de/en/bernstein-association/brains-for-brains-2017> For inquiries please contact bernstein.network(a)fz-juelich.de<mailto:bernstein.network@fz-juelich.de> Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Sense 2 Synapse 2017 Conference, Saturday April 8th, The Rockefeller University, New York City, Abstract Registration Closing Soon (March 20th).
by Christoph Kirst March 14, 2017

March 14, 2017

Dear all The deadline for submitting abstracts for this year's *Sense 2 Synapse *is approaching soon on *March 20th*. You can still register here: *http://www.sense2synapse.com/registrationForm <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.sense2synapse.com_r…> *Sense 2 Synapse will be held on Saturday, *April 8th, 2017* 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. With *Larry Abbott *(Columbia University), *Nicole Rust* (University of Pennsylvania),****Sarah Woolley**(Columbia University) and*Gaby Maimon* (The Rockefeller University) we have a great list of key-note speakers, which will be complemented by talks selected from abstract submissions and a poster session. More information can be found at: *http://sense2synapse.com/ <https://urldefense.proofpoint.com/v2/url?u=http-3A__sense2synapse.com_&d=Dw…> * Join us for a great day of science, discussions and nice food ! The organizing team Christoph Kirst Florian Berger Jeremie Barral Gonzalo Otazu Nicolas Renier -- Christoph Kirst Fellow for Physics and Biology Center for Theoretical Studies and Kavli Physics Fellow Kavli Neural Systems Institute The Rockefeller University

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deadline for International Conference on Cognitive Modeling/Society for Mathematical Psychology extended
by Marieke van Vugt RUG March 14, 2017

March 14, 2017

Dear colleagues, The Society for Mathematical Psychology and International Conference on Cognitive Modeling will hold a joint conference this year in Warwick, UK, from July 22nd-25th. The goal of the conference is to bring researchers together who are interested in using computational and mathematical modeling to better understand human cognition. It is a forum for presenting, discussing, and evaluating the complete spectrum of cognitive modeling approaches, including mathematical models, connectionism, symbolic modeling, dynamical systems, Bayesian modeling, and cognitive architectures. We welcome basic and applied research across a wide variety of domains, ranging from low-level perception and attention to higher-level problem-solving and learning. We also welcome contributions that use computational models to better understand neuroimaging data. The submission deadline for MathPsych/ICCM 2017 has been extended to April 1st, 11:59pm GMT for all types of submissions. Please make your submissions through the links at http://mathpsych.org/conferences/2017/submissions/ <http://mathpsych.org/conferences/2017/submissions/>. Best wishes, Adam Sanborn, Gordon Brown, James Adelman (MathPsych co-chairs) Marieke van Vugt, Adrian Banks, Bill Kennedy (ICCM co-chairs) -------------------------------------------------------------------- Marieke van Vugt, PhD Assistant Professor, Cognitive Modelling Group University of Groningen Bernoulliborg, room 326 Nijenborgh 9 9747 AG Groningen The Netherlands phone: +31-6-5195-4984 (cell) +31-50-363-9487 (office) http://www.ai.rug.nl/~mkvanvugt <http://www.ai.rug.nl/~mkvanvugt> twitter: @mvugt m.k.van.vugt(a)rug.nl <mailto:m.k.van.vugt@rug.nl> / mkvanvugt(a)gmail.com

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2017 NEURON Summer Course
by Ted Carnevale March 13, 2017

March 13, 2017

The 2017 NEURON Summer Course will be held at Wright State University in Fairborn, Ohio, from Monday, June 5, through Saturday, June 10. The course will present a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. This year we have increased the course duration to 6 days (5 days in previous years) in order to provide expanded coverage of parallel simulation, and to give participants more time for active learning exercises. The registration deadline is Monday, May 15, 2017. No applications will be accepted after that date, and there will be no on-site registration. Space is limited, and applications will be considered in the order received. For more information and the on-line registration form, see http://www.neuron.yale.edu/neuron/static/courses/summer2017/summer2017.html --Ted

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2017 Methods in Neuroscience at Dartmouth Computational Summer School
by Matthijs van der Meer March 13, 2017

March 13, 2017

Methods in Neuroscience at Dartmouth (MIND) 2017 Computational Summer School August 13th - 20th, 2017 https://summer-mind.github.io/ We are delighted to welcome applications for our inaugural Methods in Neuroscience at Dartmouth (MIND) Computational Summer School. The theme of this year’s summer school is Network Dynamics at Multiple Spatiotemporal Scales. There is a growing gap between how graduate students in psychology and neuroscience are trained and what they actually need to know to do cutting edge work. In addition, there is increasing interest in supplementing the traditional reductionist approach to studying the elements of brain, cognition, and behavior in isolation, to integrating how these elements interact as a cohesive complex system. This entails considering not just which elements in a network interact, but also the content of the interaction, and the dynamics of how this information flows through networks over time. This general issue is present in multiple domains, with an accompanying need for similar tools: neurophysiologists studying spiking activity in ensembles of single neurons, cognitive neuroscientists studying whole-brain activity levels, and social psychologists studying group interactions. Our curriculum is motivated by the realization that there is a common core of computational methods that apply across different subfields of neuroscience, with exciting opportunities for crossover across these subfields. Thus, our summer program aims to provide integrated training of network methods at the circuit, whole-brain, and social network levels. The overall format has short lectures in the morning, followed by hands-on tutorial-style labs, and a hackathon in which students will collaboratively work on projects with faculty. Themes running through the curriculum include open tools and data, data visualization, statistical modeling, and model comparison. The summer school will be taught by faculty with unique expertise in using innovative computational techniques to understand network dynamics at multiple scales. Chris Baldassano (Princeton University) Luke Chang (Dartmouth College) Janice Chen (Johns Hopkins University) Nicholas Christakis (Yale University) Howard Eichenbaum (Boston University) Sam Gershman (Harvard University) Caterina Gratton (Washington University) Yaroslav Halchenko (Dartmouth College) James Haxby (Dartmouth College) Christopher Honey (Johns Hopkins University) Caleb Kemere (Rice University) Jeremy Manning (Dartmouth College) Ida Momennejad (Princeton University) Matthijs van der Meer (Dartmouth College) Thalia Wheatley (Dartmouth College) Topics include: Open source computing resources Estimation and hypothesis testing with computational modeling Representing and describing networks Identifying structure in networks through connectivity Characterizing the temporal dynamics of networks Identifying representations of information using decoding techniques The application deadline is April 15th, 2017. Information about how to apply can be found on our website https://summer-mind.github.io/ Luke Chang, Jeremy Manning, and Matt van der Meer Directors Jim Haxby, Thalia Wheatley, Todd Heatherton, and Dan Rockmore Advisory Committee This event is sponsored by the Center for Social Brain Sciences, Center for Cognitive Neuroscience, and Neukom Institute for Computational Sciences at Dartmouth.

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CfP: ACM Symposium on Applied Perception 2017
by Douglas Cunningham March 13, 2017

March 13, 2017

Symposium on Applied Perception Call for Papers and PostersThe ACM Symposium on Applied Perception (ACM SAP) aims to advance and promote research that crosses the boundaries between perception and disciplines such as graphics, visualization, computer vision, haptics and acoustics. These fields can benefit from the exchange of ideas. The scope of the conference includes applications and algorithms in any area of research that incorporates elements of perception and computer science. Our fourteenth annual event provides an intimate, immersive forum for exchanging ideas about areas of overlapping interests. The ACM SAP 2017 conference will be held in Cottbus, Germany at the Brandenburg University of Technology on the 16th and 17th of September, 2017. We aim to further promote communication between the core perception and computer graphics communities. We invite submissions of original work in all areas of applied perception. Relevant areas include: * Modeling, rendering, and animation * Visualization * Computational aesthetics * Haptic rendering, haptic input and perception * Perception of virtual characters * Color vision and color appearance modeling * Perception of high dynamic range scenes and images * Interaction techniques and interfaces * Augmented reality * Virtual worlds * Display technologies * Auditory display and interfaces * Perceptual auditory coding * Spatialized sound * Speech synthesis and recognition * Sensory integration * Multimodal rendering * Spatial and temporal vision * Attention and eye movements * Statistical learning and perception of natural scenes * Perception of shapes, surfaces, and materials PapersResearch can be submitted as a long paper (up to 8 pages and up to 20 minute talk), a short paper (up to 4 pages and up to 15 minute talk), or as a poster presentation (1 page abstract). All submissions should follow the generalSIGGRAPH formatting guidelines. Diagrams and images should be represented in color where appropriate. Papers that are not accepted will be considered for the poster session. Authors of posters accepted by this route will, of course, have the option to decline the opportunity to present a poster. PostersThe posters program at SAP provides an informal venue for authors to share their research achievements and further discuss them with others. In that spirit, we encourage all types of scholarly submissions that fit the scope of ACM- SAP. In particular, we explicitly welcome poster submissions on work- in-progress and on work that may have been previously published elsewhere but for which additional dissemination and discussion is desired. The poster session is an integral part of SAP and the SAP program will include a dedicated time slot for poster viewing and discussion. All poster presenters will also have the opportunity to give a one-minute presentation on their work during a poster fast- forward session. NOTE: SAP poster abstracts are NOT considered to be publications, and as such will NOT appear in the ACM Digital Library. Poster abstracts WILL be included in the conference USB drive. Poster abstracts should follow the general SIGGRAPH formatting guidelines, except that they should be 1 page long. . Further detailsAll papers will be carefully reviewed by our International Program Committee. SAP follows a double blind review process. Papers will be evaluated as submitted, given limited time between submission and printing of final versions. Under a recent agreement with the ACM Transactions on Applied Perception (TAP) and the ACM Publications Board, the strongest accepted papers will be offered publication as full papers in the ACM journal TAP. Authors of such special issue papers must agree to present the paper at ACM SAP. As has always been the case, authors of regular ACM SAP papers can still submit to TAP regular issues with appropriate additions. Papers that have been recommended for acceptance in the ACM TAP journal will undergo a second review cycle, during which the authors will revise the paper to address reviewer concerns (similar to conditional acceptances at ACM SIGGRAPH). Please note that TAP referrals are conditional. The TAP reviewers may recommend bringing the paper back to the SAP proceedings if the quality of the revision is inadequate. Therefore, it is very important to incorporate as many reviewer comments as possible into the revision. The revised paper has to be submitted in TAP format to Manuscript Centr al and must include a cover letter stating that the submission is for the SAP special issue. The cover letter should also document the list of changes made to the paper to address the reviewer concerns. Reformatting an 8-page paper from the SAP format to the TAP format typically adds a few pages so we expect the final papers will have somewhere between 10-15 pages. TAP papers must not exceed 20 pages in length. Complete TAP author guidelines and templates are available at h ttp://tap.acm.org/authors.cfm. Conference Chairs * Douglas W. Cunningham, Brandenburg University of Technology * Michael Breuß, Brandenburg University of Technology Program Chairs * Sophie Joerg, Clemson University * Victoria Interrante, University of Minnesota Poster Chair * Susana Castillo Alejandre, Brandenburg University of Technology Deadline sPapers: * Monday, May 22: Mandatory abstract submission * Friday, May 26: Paper submission deadline * Friday, June 23: Decisions announced * Friday, July 14: Final papers due Papers recommended for TAP: * Friday, July 14 (Camera Ready) Revisions to TAP recommended papers due (anonymous, in TAP format) * Friday, July 21: Notification to TAP authors Posters: * Friday, July 7: Poster submission * Friday, July 21: Decisions announced * Friday, July 28: Camera ready version of 1-page abstract due

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[ICANN 2017] DEADLINE EXTENSION -- 26th International Conference on Artificial Neural Networks, Alghero, Sardinia, Italy
by ENNS Secretary March 13, 2017

March 13, 2017

Second Announcement and Call For Papers // DEADLINE EXTENSION [Apologies for cross-postings] #ICANN2017ENNS =========================================================== www.icann2017.org ICANN 2017 26th International Conference on Artificial Neural Networks Alghero, Sardinia, Italy 11th - 15th September 2017 =========================================================== The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2017, the 26th ICANN will be organised from the 11th to the 15th of September 2017 in Alghero, Sardinia, Italy. Conference proceedings will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. IMPORTANT DATES Submission of abstracts and papers: Extended to 3 April 2017 Notification of acceptance: 15 May 2017 Camera-ready paper and registration: 28 May 2017 Conference dates: 11 - 15 September 2017 CONFIRMED PLENARY SPEAKERS Moshe Abeles (Bar-Ilan University) Elisabeth André (Universität Augsburg) Michele Giugliano (University of Antwerp) Marco Gori (Università degli Studi di Siena) David Ríos Insua (ICMAT-Institute of Mathematical Sciences, Madrid) CONFERENCE TOPICS ICANN 2017 will feature the main tracks Brain Inspired computing and Machine Learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: • Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organization, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Recurrent Networks, Deep Learning. • Machine Learning: Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models. • Neural Applications for: Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. CONFERENCE OBJECTIVES - To bring together researchers from two worlds: Information Sciences and Neurosciences - To keep a wide scope, ranging from Machine Learning Algorithms to models of real nervous systems - To facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain. - To help researchers to meet, mingle and network with colleagues from all over the world. - To be the meeting point between research and business. - To be a global interdisciplinary meeting encompassing Machine Learning and Neural Computation. - To help young researchers on the job market meet and mingle with potential labs and research groups in an informal setting. BENEFITS OF ATTENDING THE CONFERENCE - A solid cutting-edge scientific programme including talks from the world experts in the field of artificial neural networks. - A conference schedule tailored to encourage interaction between the attendees, with time for networking and discussion. - The publication of all accepted contributions in the peer-reviewed book of conference proceedings, in the Springer-Verlag Lecture Notes in Computer Science (LNCS) series. - The opportunity to vote and to be considered for the best paper awards, presented during the final ceremony of ICANN. - A top-level conference in the field with a reasonable registration fee, thanks to the not-for-profit policy of the ENNS organisation. Students can apply for ENNS funded travel grants to attend. - An overly attractive conference location in the beautiful setting of the Sardinian coast, with social events to explore the area. http://www.alghero-turismo.it/en/ CONFERENCE REGISTRATION FEES Early registration fees have been kept particularly low for this kind of event because ENNS and ICANN aim at full implementation of the academic not-for-profit policy. Early registration fees: Undergraduate students (Bachelor and Master level): 100 EUR PhD Students: 240 EUR Regular delegates: 290 EUR ENNS members have a reduction of 40 EUR Students can apply for ENNS funded travel grants to attend (see the conference website for details). CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS All scientific communications presented at ICANN 2017 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications: - oral communications (15'+5') - poster communications (on permanent display and 2 hours presentation) - demonstrations Authors willing to present original contributions for any category must submit a manuscript of maximum 8 pages length that will be refereed to international standards by at least three referees. Accepted papers of contributing authors will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. Selected papers will be invited after the conference for a full journal paper submission. Authors willing to present a contribution for oral communications and posters without submitting a full manuscript must submit a 1-page abstract that will also be refereed by at least three referees. The abstracts will be published all together in a proceedings section without an author index. In case of program constraints the priority will be given to original contributions accompanied by a full paper submission. CALL FOR WORKSHOPS AND SPECIAL SESSIONS ICANN 2017 invites proposals for workshops and special sessions to be held as satellite events of the conference. For more information, please refer to the website and/or contact the general chair. BEST PAPER AWARDS ENNS will sponsor several best paper awards, in the Brain Inspired Computing track and in the Machine Learning research track. All awardees will be presented during the final ceremony. ORGANISATION General Chair: Alessandro E.P. Villa General Co-chairs: Alessandra Lintas, Věra Kůrková, Stefano Rovetta, Paul F.M.J. Verschure Local Co-chairs: Eugenio Lintas, Anna Mura Program and Workshop Committee: Cesare Alippi, Jérémie Cabessa, Barbara Hammer, Petia Koprinkova-Hristova, Jaako Peltonen, Antonio J. Pons, Yifat Prut, Stefano Rovetta, Igor V. Tetko, Paul F.M.J. Verschure, Alessandro E.P. Villa, Francisco Zamora-Martinéz Communications Chair: Paolo Masulli Organisation Università degli Studi di Sassari, Italy University of Lausanne, Switzerland Universitat Pompeu Fabra, Spain European Neural Network Society, Switzerland

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Postdoctoral Research Position in Comp-Neuro of Spatial Memory, Sheffield, UK
by Tony Prescott March 12, 2017

March 12, 2017

POSTDOCTORAL RESEARCH POST IN COMPUTATIONAL NEUROSCIENCE We are seeking a post-doctoral research associate in computational neuroscience of episodic and spatial memory. This is a full-time post at the University of Sheffield Department of Psychology, the post will be located in Sheffield Robotics <http://www.sheffieldrobotics.ac.uk/>. The role will be to develop models of the mammalian hippocampal system as networks of rate-coded or spiking model neurons and to test these within a wider systems architecture controlling exploration and navigation in simulated or physical mobile robots. The post is supported by the European Union Flagship Human Brain Project <https://www.humanbrainproject.eu/en_GB> and within the sub-field of systems neuroscience and computational modelling. Though initially till the end of March 2018, it is expected that the position will be extended beyond that date. Applicants should hold a PhD equivalent in a numerate discipline and have experience of computational neuroscience modelling. For further information and to apply go to http://www.sheffield.ac.uk/jobs and enter the job code: UOS015616, deadline is the 11th of April. Feel free to contact me directly for informal enquiries. Regards, Tony Prescott p.s. apologies for cross-posting. ------------------------------------------------------------------------------------------------------------------------------------------------------ Tony J Prescott <http://www.shef.ac.uk/psychology/staff/academic/tony-prescott>, Professor of Cognitive Neuroscience, University of Sheffield Director of Sheffield Robotics <http://www.sheffieldrobotics.ac.uk/>; Editor-in-Chief, Connection Science <http://www.tandfonline.com/loi/ccos20> mail: t.j.prescott(a)sheffield.ac.uk, twitter: tonyjprescott <https://twitter.com/tonyjprescott?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7C…> ------------------------------------------------------------------------------------------------------------------------------------------------------

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Frontiers in Serotonin Research Symposium
by Wong-Lin, Kongfatt March 12, 2017

March 12, 2017

We are very pleased to announce an upcoming neuroscience symposium titled Frontiers in Serotonin Research – Crossing Scales and Boundaries. The symposium will be held in Beijing Normal University, Beijing, China, on the 28th and 29th June this year. Serotonin is an important chemical in the brain. It modulates neuronal and neuronal circuit activities and regulates mood, cognition and behavior. Dysfunctions of the serotonergic system are associated with various brain disorders. Recent research using advanced technologies have revealed additional levels of heterogeneity and complexity in the serotonergic system, hence presenting new challenges to research and therapy. This symposium aims to bring together experimental and computational researchers that work across different scales of the serotonergic system to address these challenges. Confirmed speakers include Trevor Sharp (University of Oxford,UK), Minmin Luo (NIBS, China), Francesc Aartigas (IDIBAPS, Spain), Kae Nakamura (Kansai Medical University,Japan), Yousheng Shu (BNU, China), Katsuhiko Miyazaki (OIST, Japan), Xuechu Zhen (Soochow University,China), Giuseppe Di Giovanni (University of Malta; University of Cardiff), and Albert Compte (IDIBAPS, Spain). If you are interested in attending the symposium or have any enquiry, please contact Prof. Da-Hui Wang (wangdh(a)bnu.edu.cn<mailto:wangdh@bnu.edu.cn>). Best, Prof. Da-Hui Wang (Beijing Normal University, China) and Dr. KongFatt Wong-Lin (Ulster University, UK) ------------------ Further information: Beijing is the capital of China, and has a long history with many attractions. The latter include the Forbidden City, Summer Palace, Great Wall, etc. (e.g. see http://www.china.org.cn/travel/beijingguide/node_7044548.htm) The weather in Beijing toward the end of June can be warm and has an average high temperature of about 30 °C. Beijing Normal University (BNU) is one of the top universities in China (http://english.bnu.edu.cn/about_bnu/general_information/index.htm) Its faculty and staff conduct highly competitive research in the humanities, social sciences, and natural sciences. The State Key Laboratory of Cognitive Neuroscience and Learning (http://brain.bnu.edu.cn/en/Home/) at BNU consists of leading laboratories on cognitive neuroscience research in China. The School of Systems Science at BNU is another prominent research institute which focuses on the science and applications of complexity, which includes neural systems, complex networks, socioeconomic system and multi agent systems. The most convenient way to travel from Beijing Capital International Airport to Beijing Normal University campus is by taxi. The taxi fare is about 100 RMB one way, and the journey takes about 40 minutes. There is a hotel named Jing Shi Da Sha located on campus (http://www.ciae.bnu.edu.cn/english/index.html) This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Workshop on Brain Dynamics and Neurocontrol Engineering, (St. Louis, USA) June 26-27, 2017
by ShiNung Ching March 9, 2017

March 9, 2017

Workshop on Brain Dynamics and Neurocontrol Engineering, (St. Louis, USA) June 26-27, 2017 We are pleased to invite participants to the Workshop on Brain Dynamics and Neurocontrol Engineering at Washington University in St. Louis (St. Louis, MO, USA), to be held this summer (June 26-27, 2017). ** Travel awards (including meals, housing) are available for students, postdocs and junior faculty. ** The goal of this workshop is to provide a focused forum for the discussion of research synergy between the dynamical systems, control and neuroscience communities. An emphasis will be placed on bringing together experts from each of these domain areas, in an effort to discuss current formulations and future challenges. Topics include: Inferring dynamics in neural circuits, Linking control-theoretic analysis of neural circuits to function, and Optimizing extrinsic manipulation of neural activity. For full information, including speaker list, award and registration details, please visit: http://sites.wustl.edu/brain Please direct questions to: braindynamics(a)wustl.edu

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Call for Papers Brain-Inspired Intelligence Technology
by Reinoud Maex March 9, 2017

March 9, 2017

Call for Papers Special issue of the Journal of Integrative Neuroscience http://www.iospress.nl/journal/journal-of-integrative-neuroscience on Brain-Inspired Intelligence Technology Guest Editors: R.J. Martis, H. Lin, E. Barakova and Y. Zeng Brain-inspired intelligence technology aims to showcase the principles and mechanisms of human intelligence through development of brain-inspired intelligent systems. It is an effort to extract, integrate and analyse these principles and mechanisms across scale from quantum neuroscience to cognitive science research in pioneering the next wave of sentient technologies. The special issue is unprecedented, showcasing brain-inspired technology beyond 2020. Deadline for submission:25 November 2017 How to Submit: Authors are requested to submit their manuscript via the submission system available at http://msTracker.com/submit1.php?jc=jin In the “Cover Letter” box please indicate you are submitting your paper to the special issue on Brain-Inspired Intelligence Technology Topics of relevance include: * Biophysical neural networks * Brain-inspired cognitive models * Wetware design * Neurophotonics * Elemental conscious constructs * Quantum entanglement in agents * Cognitive technology supporting brain-inspired intelligence * Brain connectome based on optical nanoscopy technology * Observer-independent intelligence * Pico-scale resolution patch-clamping * Brain-inspired super and general artificial intelligence * New deep neural networks for brain-inspired learning * Brain-inspired intelligent hardware infrastructures * Cognitive neurorobotics For more information contact: Yi Zeng, Ph.D Deputy Director Research Center for Brain-inspired Intelligence Institute of Automation Chinese Academy of Sciences Beijing, China, 100190 Email: yi.zeng(a)ia.ac.cn

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Postdoctoral research associate in machine learning (curiosity-based learning, probabilistic theories of deep learning)
by Răzvan Valentin Florian March 9, 2017

March 9, 2017

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postdoc position in computational neuroscience/brain physics in Oslo Norway
by Gaute Einevoll March 7, 2017

March 7, 2017

Postdoctoral Research Fellowship in Computational Neuroscience/Brain Physics in Oslo, Norway Applications are invited for a post-doctoral position in computational neuroscience/brain physics at the Department of Physics at the University of Oslo. The position is funded by the Research Council of Norway as part of the FRINATEK project "COmputing BRAin signals (COBRA): Biophysical computations of electrical and magnetic brain signals". The position is for 2 years and expected start date is in the Spring/Summer of 2017. Job/project description: The successful candidate will develop and apply physics-based computational methods to model electrical and magnetic brain signals measured inside (local field potential; LFP) and outside (EEG, MEG) cortex. For a review of this biophysical modeling approach, see Einevoll et al., Nature Reviews Neuroscience, 2013. In COBRA this modeling work will be compared with corresponding in-house experimental recordings from mouse visual cortex done in the laboratory of Marianne Fyhn at Department of Biosciences at UiO. The project thus also involves the development of a network model for mouse visual cortex. The candidate will work in the cross-disciplinary environment CINPLA (cinpla.org) a research center set up by the Faculty of Mathematics and Natural Sciences. Presently, CINPLA includes about twenty biologists, physicists, and computer scientists co-localised in the building of Department of Biosciences at UiO. The candidate will develop and use state-of-the-art computer simulation packages and national supercomputer resources. Requirements: Applicants must hold a master's degree in physics and have a PhD in either computational neuroscience or theoretical physics with a significant computational component. The candidate must have demonstrated strong skills in developing codes for scientific computing. Previous experience in neuroscience is considered advantageous, but not required. For more information, including on how to apply, see: https://www.jobbnorge.no/en/available-jobs/job/135223/postdoctoral-research… Deadline for application: April 2nd 2017 For questions, please contact professor Gaute T. Einevoll, gaute.einevoll(a)fys.uio.no. ********************************************** Gaute T. Einevoll Faculty of Science and Technology Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, Oslo, Norway Ph. +47-64965433, Mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no, web: compneuro.nmbu.no, cinpla.org

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Swartz Fellowship in Theoretical Neuroscience at the University of Washington
by Eric Shea-Brown March 6, 2017

March 6, 2017

The Swartz Center for Theoretical Neuroscience at the University of Washington in Seattle is seeking applications for a Swartz Postdoctoral Fellow. The Fellow should have a strong analytical or computational background and will be free to work on projects with the extensive and vibrant UW theoretical and experimental neuroscience community, http://compneuro.washington.edu/ <http://compneuro.washington.edu/>. Possibilities also exist for collaborations with the Allen Institute for Brain Science. The Fellowship is available immediately although start date is negotiable, and applications will be considered until the position is filled. Please send a one-page statement of interests and CV with contact information for references. Please send applications to fairhall(a)u.washington.edu <mailto:fairhall@u.washington.edu> and etsb(a)u.washington.edu <mailto:etsb@u.washington.edu>.

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1st Conference of the Timing Research Forum - Call for Abstracts
by teki March 5, 2017

March 5, 2017

Dear list members, The call for abstracts and symposium proposals for the 1st Conference of the Timing Research Forum <http://timingforum.org/> (TRF1) is now open. TRF1 is the first international conference dedicated to multidisciplinary research on timing and time perception and will be held in *Strasbourg, France from October 23-25, 2017*. The deadline to submit both abstracts and symposium proposals is *May 1, 2017*. During the submission process, please indicate if you wish to present an oral or poster presentation, and express your interest for student travel awards. All selected abstracts will be published in the journal, Timing and Time Perception Reviews <http://www.brill.com/node/37536>. We are pleased to announce three impressive Keynote Speakers - *Warren Meck* <https://psychandneuro.duke.edu/people/warren-h-meck>: Professor, Duke University *Lera Boroditsky* <http://lera.ucsd.edu/>: Associate Professor, University of California San Diego *Sofia Soares* <http://www.neuro.fchampalimaud.org/en/person/175/>: PhD Candidate, Champalimaud Centre for the Unknown Sofia will present her paper <http://science.sciencemag.org/content/354/6317/1273.long> - Soares, S., Atallah, B. V. & Paton, J. J. (2016) *Midbrain dopamine neurons control judgment of time*. *Science* 354, 1273–1277, that was selected by the TRF Committee <http://timingforum.org/committee-members/> as the 'Best Timing Paper of 2016'. We thank our current sponsors - Wellcome Trust, INSERM, CNRS, Neuropole Strasbourg, FMTS and the University of Strasbourg and look forward to further proposals of sponsorship. Our sponsorship booklet is available here <https://trf-strasbourg.sciencesconf.org/resource/page/id/8>. Anyone interested in *joining the Timing Research Forum* can do so by following the instructions at this link <http://timingforum.org/membership> . For further details about submission guidelines, conference program, registration, accommodation etc., please visit the conference website - *https://trf-strasbourg.sciencesconf.org* <https://trf-strasbourg.sciencesconf.org/>. We look forward to seeing you in Strasbourg! Anne Giersch & Jenny Coull Conference Co-Chairs trf.strasbourg(a)orange.fr & Sundeep Teki & Argiro Vatakis (On behalf of Timing Research Forum) timingforum.org --- Sundeep Teki PhD Sir Henry Wellcome Fellow Auditory Neuroscience Group Department of Physiology, Anatomy & Genetics University of Oxford Parks Road, Oxford OX1 3PT sundeepteki.org | @sundeepteki <https://twitter.com/sundeepteki>

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CNS*2017 Abstract Deadline Extension
by Sharon Crook March 3, 2017

March 3, 2017

Abstract Deadline Extended to March 12 CNS*2017 Call for Abstracts Organization for Computational Neurosciences (OCNS) 26th Annual Meeting Antwerp, Belgium July 15-20, 2017 The main meeting (July 16-18) will be preceded by a day of tutorials (July 15) and followed by two days of workshops (July 19-20). Invited Keynote Speakers: Erik De Schutter, Okinawa Institute of Science and Technology, Japan Panayiota Poirazi, IMBB-Forth, Greece Karl Friston, University College London, UK Sue Denham, University of Plymouth, UK A preliminary program for the workshops is available at: http://www.cnsorg.org/cns-2017-workshops Registration and abstract submission are open. Abstract submission deadline: Extended to March 12, 2017 Travel Award Application deadline: Extended to March 12, 2017 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. Latest safe date for Member applications before abstract submission extended to March 8. For up-to-date conference information, please visit: http://www.cnsorg.org/meetings

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DEADLINE EXTENDED: MBL Methods in Computational Neuroscience Course applications due March 7
by Mark Steven Goldman March 3, 2017

March 3, 2017

The application deadline for the Methods in Computational Neuroscience course at the Marine Biological Laboratory in Woods Hole, MA has been extended to March 20. The full advertisement is included below: Applications are open for the Methods in Computational Neuroscience course at the Marine Biological Laboratory in Woods Hole, MA. The course will run from July 30 to August 24, 2017, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 20*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2017 Course Directors: Michale Fee, MIT Mark Goldman, UC Davis 2017 Confirmed Faculty: Larry Abbott, Columbia University Steve Baccus, Stanford University Joshua Berke, UCSF Carlos Brody, Princeton University Emery Brown, MIT Dmitri Chklovskii, Simons Foundation Sophie Deneve, Ecole Normale Superieure Uri Eden, Boston University Bard Ermentrout, University of Pittsburgh Adrienne Fairhall, University of Washington Ila Fiete, UT Austin Loren Frank, UCSF Stefano Fusi, Columbia University Jack Gallant, UC Berkeley Surya Ganguli, Stanford University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, University of Southern California Jonathan Pillow, Princeton University Cristina Savin, NYU Terry Sejnowski, Salk Institute Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Josh Tenenbaum, MIT Xiao-Jing Wang, NYU

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[ADSAA-BIOMED2017] Adaptive Analysis Applied to Biomedical Data (no publication charges)
by Leonardo Abdala Elias March 3, 2017

March 3, 2017

Dear colleague, Does your research involve adaptive data analysis? We invite you to submit an experimental, theoretical or review paper to ADSAA-BIOMED2017 - Adaptive Analysis Applied to Biomedical Data, a special issue of the journal Advances in Data Science and Adaptive Analysis (http://www.worldscientific.com/worldscinet/adsaa) More information available @ https://easychair.org/cfp/ADSAA-BIOMED2017 Submissions are open @ https://easychair.org/conferences/?conf=adsaabiomed2017 Submission deadline: October 31, 2017 No publication charges. Journal listed in SJR. Impact factor 0.92. Experimental, Theoretical and Review papers are accepted. Suggested topics (not limited to): • Empirical Mode Decomposition, Bayesian methods, Kalman filtering, machine learning techniques; • Adaptive analysis applied to biomedical data (e.g., biological signals, such as EMG, ECG, EEG, neural activity, medical images, biomechanical data); • Adaptive analysis in thematic areas such as burgeoning datasets (Big Data) emerging as a result of wearable wireless systems. Contact: adsaabiomed2017(a)easychair.org (mailto:adsaabiomed2017@easychair.org) This special issue is led by the ADSAA-BIOMED2017 team. ADSAA Editor-in-Chief • Prof. Samuel S.P. Shen (http://shen.sdsu.edu/) Department of Mathematics and Statistics, San Diego State University, San Diego, USA (Sam.shen(a)sdsu.edu (mailto:Sam.shen@sdsu.edu)) Leading Guest Editors • Prof. Adriano O. Andrade (http://lattes.cnpq.br/1229329519982110) Federal University of Uberlândia, Uberlândia, Brazil (adriano(a)ufu.br (mailto:adriano@ufu.br)) • Prof. Slawomir J. Nasuto (https://www.reading.ac.uk/biologicalsciences/bme/about/staff/s-j-nasuto.aspx) University of Reading, Reading, UK (s.j.nasuto(a)reading.ac.uk (mailto:s.j.nasuto@reading.ac.uk)) Associated Guest Editors • • Dr. Catherine M. Sweeney-Reed (http://www.kneu.ovgu.de/kneu/en/Research/Research+Groups/Workgroups/Neurocy…) Otto von Guericke University, Magdeburg, Germany (catherine.sweeney-reed(a)med.ovgu.de (mailto:catherine.sweeney-reed@med.ovgu.de)) • Dr. Nicoletta Nicolaou (https://sites.google.com/site/nicolaounikki/home) University of Reading, Reading, UK (n.nicolaou(a)reading.ac.uk (mailto:n.nicolaou@reading.ac.uk)) • Prof. Marcus Fraga Vieira (http://lattes.cnpq.br/4153462617460766) Federal University of Goiás, Goiânia, Brazil (marcus(a)ufg.br (mailto:marcus@ufg.br)) • Prof. Teodiano Freire Bastos (http://lattes.cnpq.br/3761585497791105) Federal University of Espírito Santo, Vitória, Brazil (teodiano.bastos(a)ufes.br (mailto:teodiano.bastos@ufes.br)) • Dr. Sri Krishnan (http://www.ee.ryerson.ca/people/Krishnan.html) Ryerson University, Toronto, Canada (krishnan(a)ryerson.ca (mailto:krishnan@ryerson.ca)) • Dr. Leonardo Abdala Elias (http://lattes.cnpq.br/5429275286295501) University of Campinas, Campinas, Brazil (leoelias(a)fee.unicamp.br (mailto:leoelias@fee.unicamp.br)) • Dr. Steffen Walter (https://www.researchgate.net/profile/Steffen_Walter) University of Ulm, Ulm, Germany (steffen.walter(a)uni-ulm.de (mailto:steffen.walter@uni-ulm.de)) We look forward to receiving your contribution. The ADSAA-BIOMED2017 team Unsubscribe (http://dmanalytics2.com/delivery-unsubscribe?d=CHvgFcXeRP6yA1wqiBnL2g&e=com…) [Image: Direct Mail for Mac] (http://dmanalytics2.com/about-dm?utm_source=fr-ftr&utm_medium=email&utm_con…) This email is powered by Direct Mail for Mac. Learn More (http://dmanalytics2.com/about-dm?utm_source=fr-ftr&utm_medium=email&utm_con…) • Report Spam (http://dmanalytics2.com/report-spam?d=CHvgFcXeRP6yA1wqiBnL2g&e=comp-neuro@n…)

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Computational & Cognitive Neuroscience Summer School, in Shanghai (deadline March 15)
by Murray, John March 3, 2017

March 3, 2017

We are pleased to announce the 7th Computational and Cognitive Neuroscience (CCN) Summer School which will take place July 6-29, 2017, on the campus of NYU-Shanghai in Shanghai, China. Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and other countries in the world. Applicants with quantitative (including Physics, Mathematics, Engineering and Computer Science) or experimental background are welcomed. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation, microcircuits and large-scale systems, to normative theoretical approach. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. Course information is available on the CCN official website: http://www.ccnss.org Applications are being accepted now through the NYU-Shanghai website: https://research.shanghai.nyu.edu/centers-and-institutes/brain/ccnss-2017-a… The application deadline is March 15, 2017. Organizers: - Xiao-Jing Wang (New York University) - Zach Mainen (Champalimaud Neuroscience Program) - Si Wu (Beijing Normal University) - John D. Murray (Yale University) - Eric DeWitt (Champalimaud Neuroscience Program) 2017 Lecturers: - Daphne Bavelier (University of Geneva) - Timothy Behrens (University of Oxford) - Matthew Botvinick (Google DeepMind) - Michael Breakspear (University of Queensland) - Robert Desimone (Massachusetts Institute of Technology) - Jeff Erlich (NYU Shanghai) - Stefano Fusi (Columbia University) - Surya Ganguli (Stanford University) - Michael Hausser (University College London) - Nikolaus Kriegeskorte (MRC Cognition and Brain Sciences Unit) - Yann LeCun (New York University & Facebook AI Research) - Sukbin Lim (NYU Shanghai) - Alex Pouget (University of Geneva) - Matthew Rushworth (University of Oxford) Feel free to direct any questions to: john.murray(a)yale.edu John D. Murray ----------------------------------------------- Assistant Professor Department of Psychiatry Yale University School of Medicine murraylab.yale.edu -----------------------------------------------

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RESEARCH FELLOW IN DEEP BRAIN STIMULATION FOR EPILEPSY AND SEIZURE PREDICTION (2 POSITIONS)
by Levin Kuhlmann March 2, 2017

March 2, 2017

Exciting med-tech opportunity at the interface between academia and industry. We are seeking talented research scientists to join a team conducting a clinical trial of a fully implantable system for seizure forecasting and control with epilepsy patients. Requires experience in electrophysiology and neural signal analysis. There are two Research Fellow positions available in our epilepsy research group for a new NHMRC research project titled Critical Slowing in Epilepsy. The research will quantify how the brain changes around times where it is susceptible to seizures. Seizure susceptibility will be studied using a new deep brain stimulation and recording system in a first in man clinical trial in partnership with the medical device company, Medtronic. There are also opportunities to study seizure susceptibility using the one-of-a-kind long-term continuous intracranial electroencephalography database obtained from the clinical trial of the Neurovista Seizure Advisory System. At least one of the Research Fellows will be involved in all aspects of the Medtronic trial, from testing with patients to data analysis and reporting. Testing will involve measuring the interaction between the brain's response to very small electrical stimuli and epilepsy-related changes. Close date: 12 Mar 2017 Contact both Dr Levin Kuhlmann (levink(a)unimelb.edu.au) and Dr Dean Freestone (deanrf(a)unimelb.edu.au) for details. For a position description, selection criteria and to apply visit: http://jobs.unimelb.edu.au/caw/en/job/890173/research-fellow-in-deep-brain-…

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Global Scholar Awards for New Investigators
by Zylberberg, Joel L March 1, 2017

March 1, 2017

Hi All, I want to draw your attention to a new investigator award that is open to faculty working anywhere in the world (and of any nationality). The CIFAR Azrieli Global Scholar Awards<http://www.cifar.ca/global-scholars/> provide $100K (CAD) in unrestricted funds over a 2 year period. In addition to the research funding, the global scholars are appointed as members of the CIFAR research programs that most closely match their work. For the comp-neuro community, I'm guessing that would be either Learning in Machines and Brains<https://www.cifar.ca/research/learning-in-machine-and-brains/>, or Brain, Mind, and Consciousness<https://www.cifar.ca/research/brain-mind-consciousness/>. The programs have small workshop-style meetings for their ~30-40 members a few times per year. Because of the strength of the CIFAR program members (for example, the LMB group is listed here<https://www.cifar.ca/research/learning-in-machine-and-brains/>), these meetings are an extremely valuable opportunity. If you have any colleagues who might be interested in this opportunity, please forward this information on to them. Cheers, __ Joel Zylberberg, Ph.D. Assistant Professor Department of Physiology and Biophysics University of Colorado School of Medicine www.jzlab.org<http://www.jzlab.org> CIFAR Azrieli Global Scholar, Learning in Machines and Brains program ~the neuroscience is theoretical, but the fun is real

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Call for Workshops - Bernstein Conference 2017, extended deadline: 15.03.2017
by Zrinka Gattin March 1, 2017

March 1, 2017

The Bernstein Network Computational Neuroscience and the Bernstein Center Göttingen invite proposals for Satellite Workshops. Satellite Workshops will directly precede the Bernstein Conference 2017 in Göttingen. ************************************************************** *Important Dates:* _Workshops:_ September 12 - 13, 2017 _Main Bernstein Conference:_ September 13 - 15, 2017 _Deadline for proposal submission:_ *March 15, 2017* _Notification of workshop acceptance:_ April 10, 2017 ************************************************************** Since 2013, the Bernstein Conference hosts pre-conference workshops. They provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. Workshop formats should be designed to foster debate beyond a mere series of talks. The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. _Workshop time frame:_ September 12, 2017, 13:00 - 18:00 September 13, 2017, 9:00 - 12:30 Workshop proposals are welcome for either half-day or full-day workshops. Workshop costs: NEW THIS YEAR – FINANCIAL SUPPORT: For all accepted workshops the registration is free of charge for organizers and speakers. Organizers will also receive a waiver for the main conference fee. New this year: From the accepted workshops a maximum of ten workshops will be selected to each receive financial support of up to 1.500,00 €. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. INSTRUCTIONS FOR WORKSHOP PROPOSALS PREPARATION Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops *Deadline for submission of Workshop proposals:**March 15, 2017* Accommodation and Hotel Reservation: We strongly recommend early room booking. The number of available accommodation is limited due to several concurrent events. We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Web-site (http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation) We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). The earliest expiration date is already end of May 2017 whereas the majority of offers expire at the 12th of July 2017. We strongly encourage participants to share rooms and to book rooms as a group. Groups of three or four are possible if you book a suite. The room contingent contains a set of suits and apartments. We emphasize that it will be very difficult to book accommodation beyond the expiration dates. Please find a list of the hotels at our Accommodations Web-site. CONTACT: contact(a)bccn-goettingen.de We are looking forward to seeing you in Göttingen! WORKSHOP SELECTION COMMITTEE: Florentin Wörgötter (Chair) Marion Silies (co-Chair) Christian Tetzlaff (co-Chair) Matthias Bethge Laura Busse Claudia Clopath Julia Fischer Alexander Gail Richard Hahnloser Claus Hilgetag Peter Jonas Siegrid Löwel Michael Platt Viola Priesemann Nicole Rust Fred Wolf (Conference Chair) -- Dr Zrinka Gattin Bernstein Center for Computational Neuroscience (BCCN) Goettingen Bernstein Focus Neurotechnology (BFNT) Goettingen PhD Program in Theoretical and Computational Neuroscience Am Fassberg 17 D-37077 Goettingen Phone: +49 (0)551 5176 418 Fax: +49 (0)551 5176 14418 E-Mail:zrinka@nld.ds.mpg.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Open position - High resolution fMRI of bistable perception
by Tomas Knapen March 1, 2017

March 1, 2017

Open position - High resolution fMRI of bistable perception Our lab at the *Vrije Universiteit Amsterdam* <http://vu.nl/> has an opening to be filled by either a PhD student (4 years) or junior PostDoc (2-3 years), financed by an NWO-CAS grant <http://www.nwo.nl/en/news-and-events/news/2016/nihc/1-5-million-for-sino-du…> . *Outline of research project* In this project, we will study the interplay between top-down and bottom-up processing in perceptual bistability using functional imaging of cortical laminae at 7T. This project will answer cognitive neuroscience questions from a systems neuroscience perspective. The project involves mathematical modelling of behaviour, detailed psychophysics and eye tracking, as well as the development of state-of-the-art analysis techniques for submillimeter resolution functional imaging. Therefore, the successful applicant will have a background in computation, be a fluent programmer and preferably have experience with high-resolution functional imaging. The project is a collaboration with the Zhang lab at the Chinese Academy of Science, Beijing and the He lab at the University of Minnesota, and will involve regular travel between these labs. *Information & Application* Feel free to contact Tomas Knapen <tknapen(a)gmail.com> for informal inquiries. More information on bistable perception can be found in our soon-to-appear review of the topic on the Annual Reviews of Psychology website <http://www.annualreviews.org/doi/10.1146/annurev-psych-010417-085944>. The lab website can be found at tknapen.github.io, and we are part of the cognitive psychology group <http://vupsy.nl/> in the department of Behavioural and Movement Sciences at the VU. A formal application should contain a CV, two-page statement of interest and two names of persons that can provide letters of recommendation, and be sent to Barbara Goudriaan <http://127.0.0.1:4000/2017/03/01/barbara.goudriaan@vu.nl>, with reference number 00034515 in the subject line of the application email. We will entertain applications continuously from now. *Further particulars * The salary will be in accordance with university regulations for academic personnel. As an indication, this is a minimum of €2191 gross per month for a PhD position, and €2717 for a PostDoc position, depending on experience. The appointment will be initially for 1 year. After satisfactory evaluation of the initial appointment, it will be extended. You can find information about benefits of employment at www.workingatvu.nl <http://127.0.0.1:4000/2017/03/01/www.workingatvu.nl> Thanks, Tomas TK Signature *Tomas Knapen* Assistant Professor *@* Vrije Universiteit Amsterdam - Cognitive Psychology <http://www.vupsy.nl/> *Contact* tknapen(a)gmail.com || +31 6 34091812 *Web* Lab website <http://tknapen.net/tknapen/> || GitHub profile <https://github.com/tknapen>

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2x PostDocs in Gazeinformatics @ Imperial College London
by Faisal, Aldo A March 1, 2017

March 1, 2017

Dear All, we are looking to hire 2 PostDocs in Gazeinformatics at the interface of eye movement research, machine learning and computational neuroscience. Below is the ad, feel free to give me a shout for details, best wishes Aldo --- --- Dr Aldo Faisal Director Behaviour Analytics Lab Data Science Institute & Associate Prof in Neurotechnology Department of Bioengineering & Department of Computing Imperial College London London, SW7 2AZ www.FaisalLab.org http://www3.imperial.ac.uk/people/a.faisal The Brain & Behaviour Lab of Dr Aldo Faisal is seeking to hire two 2-year Postdoctoral Fellows in Gazeinformatics to work at the interface of eye movement research, machine learning/computational neuroscience and robotics. Fostering interdisciplinary research is core to the lab’s vision and profile sought. The focus area of the project is: 1. To study hierarchical representations for perception-action in a data-driven manner to develop methods for eye movement analysis and prediction of motor actions in complex real-world tasks. 2. To automatically decode action intentions from eye movements and act them out using dextrous robotic interfaces. The technology is meant to restore the ability of paralysed people to interact with the world again. You should have or expect shortly to hold a PhD (or equivalent) in Robot Vision, Robotics, Computer Vision, Neural Engineering, Computational Neuroscience, Computational Eye Movement research or very strong quantitative and programming (e.g. Physics). Research work will involve translational evaluation of the developed technologies with paralysed end-users and industrial partners. You will need to have a thorough understanding of quantitative methods and experience supervising projects, as well as strong analytical and programming skills (e.g. MATLAB, Python, ROS, and/or C/C++). You will have experience in the field/s of; 1. Human robotics or human robotic interaction; 2. Computer vision or robot vision; 3. Neural/ behavioral/ eye-tracking data analysis and modelling; 4. Experimental eye movement research, 5. Computational neuroscience modelling, 6. Data science analysis of human neural or behavioural data, 7. Biomedical engineering or neural engineering development. You must have excellent communication skills and be able to organise your own work and prioritise work to meet deadlines. All applicants must be fluent in spoken and written English. Research Associates will work in the Brain & Behaviour Lab Research group and the Data Science Institute’s Behaviour Analytics Lab (both directed by Dr Aldo Faisal) at the South Kensington Campus.

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On the existence of a purely abstract cognitive system in the brain that is based on single cells
by Asim Roy Feb. 28, 2017

Feb. 28, 2017

The following paper was published recently in Frontiers in Psychology, Cognition: “The theory of localist representation and of a purely abstract cognitive system: The evidence from cortical columns, category cells and multisensory neurons” http://journal.frontiersin.org/article/10.3389/fpsyg.2017.00186/full On the extensive use of abstract multisensory neurons in the brain There is now substantial neurophysiological evidence for a purely abstract cognitive system in the brain that is based on single cells. The evidence primarily comes from abstract category cells and multisensory neurons. Multisensory neurons provide a remarkable insight to the brain. Ghazanfar & Schroeder (2006) claim that multisensory integration extend into early sensory processing areas of the brain and that neocortex is essentially multisensory. Saleem, Ayaz, Jeffery, Harris & Carandini, M. (2013) report finding nearly half of V1 neurons in mice to be multimodal integrating visual motion and locomotion during navigation. And Klemen & Chambers (2012) notes that there is now “broad consensus that most, if not all, higher, as well as lower level neural processes are in some form multisensory.” So abstractions are used extensively in the brain. And these abstraction are layered, sometimes integrating information from two modalities, sometimes three and so on. Much more evidence is discussed in the paper. On the absence of evidence for distributed representation It is also argued in the paper that there is no evidence for distributed representation in the brain, since, as per McClelland, the dense form (not the sparse form) is the only form that counts. And there is absolutely no evidence for the dense form (Panzeri et al. 2015). On the compatibility of grounded cognition and an abstract cognitive system It is also argued in the paper that such an abstract cognitive system is fully compatible with grounded and embodied cognition. And Barsalou’s (2008, p. 618) statement is very consistent with the claims made in this paper: “From the perspective of grounded cognition, it is unlikely that the brain contains amodal symbols; if it does, they work together with modal representations to create cognition.” One of Barsalou’s questions was (p. 631): “Can empirical evidence be found for the amodal symbols still believed by many to lie at the heart of cognition?” I think there is extensive evidence now that there indeed are amodal symbols in the brain and in the brains of many species. The discovery of this purely abstract cognitive system in the brain has the potential to resolve deep theoretical conflicts in cognitive science that’s almost four decades old. Asim Roy Professor, Information Systems Arizona State University www.lifeboat.com/ex/bios.asim.roy<http://www.lifeboat.com/ex/bios.asim.roy>

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Final Program of the Columbia Workshop on Brain Circuits, Memory and Computation, March 13-14, 2017
by Aurel A. Lazar Feb. 28, 2017

Feb. 28, 2017

fruitflybrain.org/workshops.html <https://t.co/mY9aARlYrB> Aurel http://www.bionet.ee.columbia.edu

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Immediate Postdoc and Asst. Prof. openings in the lab of Dr. Kevin Tracey at the Feinstein Institute for Medical Research
by Platt, Jo Ann Feb. 27, 2017

Feb. 27, 2017

Job description Postdoctoral and Assistant Professor opportunities are available immediately in the laboratory of Dr. Kevin J. Tracey at the Center for Biomedical Sciences at the Feinstein Institute for Medical Research, Manhasset, NY. We are seeking driven individuals to join a newly funded research program on investigating the role of ascending and descending neural pathways in the control of adaptive immune function. The research focus of the lab is in the field of Bioelectronic Medicine to develop nerve-stimulating technologies to regulate the molecular targets underlying disease. The fellow will interact with a wide range of researchers in a dynamic and productive environment, bridging basic science with clinical research. Interested applicants should send a brief description of research interests and curriculum vitae, including contact information for three references to Jo Jo Platt, Center for Bioelectronic Medicine japlatt(a)northwell.edu Desired skills and experience The successful candidate will hold a Ph.D. or M.D./Ph.D. with electrophysiology skills including electrical and optogenetic modulation of peripheral neural circuitry, neuroanatomical mapping, and single cell neuronal recording. The candidate is expected to have strong skills in major biochemistry and cell biology techniques, animal handling, primary cultures and quantitative data analysis. A strong immunology background, experience with animal models including cre-lox models, animal surgery, molecular biology, and microscopy would be an asset. The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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Reminder: CNS*2017 Abstract Deadline March 5
by Sharon Crook Feb. 27, 2017

Feb. 27, 2017

CNS*2017 Call for Abstracts Organization for Computational Neurosciences (OCNS) 26th Annual Meeting Antwerp, Belgium July 15-20, 2017 The main meeting (July 16-18) will be preceded by a day of tutorials (July 15) and followed by two days of workshops (July 19-20). Invited Keynote Speakers: Erik De Schutter, Okinawa Institute of Science and Technology, Japan Panayiota Poirazi, IMBB-Forth, Greece Karl Friston, University College London, UK Sue Denham, University of Plymouth, UK A preliminary program for the workshops is available at: http://www.cnsorg.org/cns-2017-workshops Registration and abstract submission are open. Abstract submission deadline: March 5th, 2017 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. For up-to-date conference information, please visit: http://www.cnsorg.org/meetings

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PhD position in multimodal neuroimaging in Munich
by Igor Yakushev Feb. 25, 2017

Feb. 25, 2017

A PhD position is available at the Department of Nuclear Medicine (Head of Neuroimaging: Dr. Igor Yakushev), Technical University of Munich (TUM), Germany. The project will investigate neuronal substrates of training-induced cognitive improvement in middle-aged healthy subjects at the level of large-scale brain connectivity. The study involves acquisition and analysis of PET and DTI data. This three-year PhD position is funded by a grant of the German Research Foundation (DFG; pay scale TV-L 13 65%), with starting date May 2017. The Dept. of Nuclear Medicine offers exciting opportunities for neuroimaging research in an interdisciplinary environment consisting of computational scientists, medical physicists, and clinicians, and access to state-of-the-art technology including a hybrid PET/MR scanner. The research group is integrated into the TUM Neuroimaging Center, which possesses a broad methodological and thematic expertise: http://www.tumnic.mri.tum.de/tumnic/index.html The PhD student will be enrolled at a TUM graduate school that offers a structured curriculum of courses and seminars and supports participation in conferences and international exchange: http://www.gs.tum.de/en/home/ There is no tuition fee at the TUM. Prior experience with image analysis, programming and good statistical skills are required. Interested researchers should submit their applications including CV, two recommendation letters (or names and contact details of personal references), and a brief letter of motivation to Dr. Yakushev at igor.yakushev(a)tum.de Applications will be considered until the position has been filled.

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MBL Methods in Computational Neuroscience Course: Applications due March 7
by Mark Steven Goldman Feb. 25, 2017

Feb. 25, 2017

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 30 to August 24, 2017, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 7*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2017 Course Directors: Michale Fee, MIT Mark Goldman, UC Davis 2017 Confirmed Faculty: Larry Abbott, Columbia University Steve Baccus, Stanford University Carlos Brody, Princeton University Emery Brown, MIT Dmitri Chklovskii, Simons Foundation Uri Eden, Boston University Bard Ermentrout, University of Pittsburgh Adrienne Fairhall, University of Washington Ila Fiete, UT Austin Loren Frank, UCSF Stefano Fusi, Columbia University Jack Gallant, UC Berkeley Surya Ganguli, Stanford University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, University of Southern California Jonathan Pillow, Princeton University Cristina Savin, NYU Terry Sejnowski, Salk Institute Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Josh Tenenbaum, MIT Xiao-Jing Wang, NYU

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Funded PhD studentship in computational cognitive neuroscience
by Srivas Chennu Feb. 24, 2017

Feb. 24, 2017

Applications are invited for a funded PhD studentship with Dr Srivas Chennu in the School of Computing at the University of Kent (UK) to be based in our Medway Campus, to begin in September 2017 or shortly thereafter. The PhD project will focus on the research topics below, spanning computational and translational neuroscience. ==Neurodynamics of consciousness== Understanding how neural dynamics generate human consciousness is a grand challenge for neuroscience. We develop computational frameworks that use neuroscientific data (EEG/MEG/fMRI) to study the brain network correlates of consciousness during normal wakefulness, and in altered states like sleep, sedation and meditation. We also apply this science to build computational tools for improving diagnostics and prognostics during emergence from coma, and in prolonged disorders of consciousness (including the so-called vegetative and minimally conscious states). These tools could eventually be deployed right at the patients' bedside to visualise, quantify and track how their brains are recovering after injury. ==Deep neural network models of cognition== The idea that the brain is a hierarchical neural network designed for predictive cognition is persuasive one. In this view, the cortex implements Bayesian inference to maintain a successively complex hierarchy of predictive models of sensory causation. Alongside, deep learning can enable us to build dense neural networks based on complex neuroimaging datasets. We combine EEG/MEG with these modelling frameworks to describe how recurrent neural information processing realises predictive cognition in the brain. The successful applicant will be able to capitalise on Dr. Chennu’s strong research links with empirical and clinical collaborators at the Universities of Cambridge, Birmingham, Liége (Belgium), and Western Ontario (Canada). They will be embedded within the Data Science research group within the school, which brings together academics with expertise in signal processing, brain-computer interfacing, machine learning and computational intelligence. More information is available is available at Dr Chennu’s academic website: www.cs.kent.ac.uk/people/staff/sc785/ ==The School of Computing, University of Kent== The School of Computing has a reputation for high-quality research, with over 40 current PhD students. Our research activity is wide ranging and takes place within focused Research Groups which provide a vibrant research community for all members, staff or student. The School of Computing was ranked highly in the recent government run Research Excellence Framework (REF) exercise. Our research intensity was ranked 12th out of 89, with superb impact – 100% of our research impact ranked world leading or internationally excellent. The University of Kent is a leading university with a commitment to excellence in teaching and research. As the UK's European university, it is committed to creating a global student and staff community that advances knowledge and stimulates intellectual creativity, and performs at the highest levels. Kent is ranked 21st in the Times Higher Education (THE) ‘Table of Tables’ 2017 and it has twice been awarded the highly prestigious Queen's Anniversary Prize for Higher and Further Education. The School is committed to the Athena Swan Scheme. This is a national scheme whereby Universities commit to advancing and promoting the careers of female scientists. Details can be seen on our website at http://www.kent.ac.uk/human-resources/athenaswan/. Kent’s Medway campus in Chatham Maritime is a 45-minute journey south-east from London’s St. Pancras International station. ==Funding== A scholarship award will cover the successful applicant’s fees at the home/EU rate (£4,121 in 2016/17) plus a maintenance bursary (£14,296 in 2016/17). The award will be for three years, subject to satisfactory progression through each year of study. They are awarded on a competitive basis and interview performance will be taken into account. Support for research students includes regular supervision meetings, a research training programme, computer equipment, a desk in an office and funds for conference travel. ==Applicant Qualifications== You should: Essential- Hold a good undergraduate degree (UK First or 2:1 or equivalent) in a numerate discipline (computing, engineering, physics, etc.). Students with a background in biology and psychology are also welcome to apply, as long as they have the requisite technical and quantitative skills. Be able to program independently in high-level scientific programming languages like MATLAB, Python and R. Desirable- Have prior experience or evidenced interest in computational neuroscience. Able to work with complex time-series data, including EEG. ==How to Apply== Please get in touch with Dr Chennu by email (sc785(a)kent.ac.uk) in the first instance, with a Curriculum Vitae and a brief outline of your research proposal. Applications need to be submitted by Monday 3 April 2017.

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Deadline approaching for Smart Start Application
by Smart Start Coordination Office Feb. 24, 2017

Feb. 24, 2017

Call for applications Ready for a SMARTSTART into Computational Neuroscience? We invite first and second-year Master students with a background in related fields to apply to our joint training program SMARTSTART. The program aims at complementing previous studies with concepts, theories and techniques of Computational Neuroscience. SMARTSTART consists of two programs. Both of them last one year each and take place at numerous locations of the Bernstein Network and further locations throughout Germany. SMARTSTART provides financial support to then second-year Master students, allowing them to attend supplementary courses and training visits at participating institutions. Students will receive an experienced faculty mentor who will advise and guide them at this educational stage. SMARTSTART 2 provides fully funded positions for pre-PhD students. At the start of the program, these students will have already obtained their Master´s degree and are in the process of selecting a PhD project. SMARTSTART 2 allows them to elaborate their own PhD proposal as a collaborative project between two labs. This comprises exchange visits as well as voluntary attendance of lectures and courses offered by participating institutions. Both SMARTSTART programs will commence the second round in the winter term 2017/18. The Deadline for application is Tuesday, February 28, 2017. More information can be found on our website: www.smartstart-compneuro.de<http://www.smartstart-compneuro.de> Best regards, Kathrin Hebert -- Coordination Office Smart Start - Joint Training Program in Computational Neuroscience Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9593 mail: smartstart(a)fz-juelich.de<mailto:smartstart@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Software Engineer position to develop biological neural network modeling tool (SUNY Downstate, Brooklyn, NY)
by Salvador Dura Feb. 23, 2017

Feb. 23, 2017

We are looking for a software engineer to work on NetPyNE, a python package to facilitate the development, parallel simulation and analysis of biological neuronal networks using the NEURON simulator. For more information on the tool see: - Website with documentation: http://neurosimlab.org/netpyne/ - Github: https://github.com/Neurosim-lab/netpyne - Conference posters: CNS16 and SFN16 Responsabilities: - Design and implementation of new features, maintenance, and debugging of NetPyNE package (including new GUI). - Providing technical support to lab members developing models using the NEURON simulator and NetPyNE package. - Writing documentation, attending meetings/conferences, and giving presentations on software package. Requirements: - MSc in Engineering, Computer Science or related discipline. - Minimum 5 years experience in full-stack (front-end and back-end) software development (scientific software a plus). - Expertise with Python; fluency with Linux, Git/Github. - GUI design/implementation experience is a plus. - Previous experience in research/academic environment and/or neuroscience background are a plus Conditions: - Postdoc-level salary (commensurate with experience) - Initial contract of 1 year with possibility of extension (depending on performance and budget) - Become part of the Neurosim lab (http://neurosimlab.org) at the State University of New York (SUNY) Downstate Medical Center. - Academic environment with possibility of getting involved in several neuroscience research projects and interacting with 10-15 researchers (graduate students, postdocs and professor). - Work in New York, a vibrant city with a wide offer of activities (working remotely also a possibility) To apply please send CV and cover letter to salvadordura(a)gmail.com and billl(a)neurosim.downstate.edu

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2 postdoctoral positions in Quantitative Biological Modeling
by Hermann Riecke Feb. 23, 2017

Feb. 23, 2017

Hi Could you please post the ad below on teh comp-neuro list? thank you Hermann Riecke ——————————— Overview: The Department of Engineering Sciences and Applied Mathematics solicits applications for postdoctoral fellowships in quantitative biological modeling. Two positions are available starting September 1, 2017 and a third position starting September 1, 2018. These positions are part of a National Science Foundation Research Training Grant (NSF-RTG). Duties: Postdoctoral fellows will conduct research on the quantitative modeling of biological systems and will teach three quarter courses per year in the department. Each position will typically be for three years. Postdoctoral fellows will additionally participate in RTG-related training and career development activities. Environment: Postdoctoral fellows will be part of an interdisciplinary environment focusing on current problems in experimental and computational biology. Fellows will gain experience from training in mathematical modeling, numerical methods, and modern data analysis/statistical tools relevant to biological problems. Research internships outside of Northwestern will broaden fellows' perspectives. Each fellow's research will be mentored by faculty from both applied mathematics and a biological discipline. Ongoing collaborations exist with faculty in Neurobiology, Molecular Biosciences, Environmental Engineering and Preventive Medicine, and additional areas of interest are welcome. An overall goal of the program is to broaden computational biological modeling in the department and at Northwestern. Requirements: Applicants must be U.S. citizens or permanent residents. Interested candidates should submit a curriculum vitae, three reference letters (one addressing teaching qualifications) and brief research and teaching statements online at the URL: https://openposition.mccormick.northwestern.edu/apply/index/NjE= If desired, one or two representative publications may also be submitted. Applications for the Fall 2017 position are currently being reviewed and will continue being considered until the position is filled. Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Inquiries about the position may be directed to: Hermann Riecke Engineering Sciences and Applied Mathematics Northwestern University 2145 Sheridan Road Evanston, IL 60208-3125 Phone: (847) 491-3345 Email: h-riecke(a)northwestern.edu http://www.mccormick.northwestern.edu/applied-math/

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Postdoc positions in Neuromorphic computing in Singapore
by Yansong Chua Feb. 23, 2017

Feb. 23, 2017

Multiple scientist and research engineer positions are available in Singapore, at the Institute for Infocomm Research (I2R), A*STAR, Singapore. This project is part of a large multidisciplinary grant in neuromorphic technologies involving multiple universities and research institutions in Singapore (NUS, NTU, IME, IHPC, I2R). The project is focused on building a new neuromorphic chip using RRAM that enables on-chip learning, together with a suite of learning algorithms that would then be deployed in applications in the advanced manufacturing domain. The primary scope of our research is to develop spike-based computing and learning algorithms for deep spiking neural networks on a neuromorphic chip. Specifically, we are interested in employing spikes in information processing and learning. To this end, successful candidates will conduct research in one or more of the following areas: - Neuronal coding. What coding and readout strategy underlie spike-based representation. How to encode external stimuli into spike based representations and how to readout information from spike activities. - Learning. How does neurons adapt their synaptic weights to perform a given task under cases of supervised, unsupervised and reinforcement signals. What are the underlying mechanisms for deep-structured network learning. - System integration and applications. How to integrate different computational principles into a system and apply it to solve different practical tasks. Preference will be given to candidates who can document knowledge in machine learning, neural networks, information processing, system design or hardware implementation with VLSI and FPGA. Candidates must have a PhD (for scientists) or MS/BS (for engineers) in computer science, computational neuroscience or related fields. Strong programming and quantitative skills are highly desired. Candidates should be proficient in spoken and written English. The appointments will be for 2 years, and extended for another 2 years, after review. Salaries are commensurate with internationally-competitive salaries and benefits. For comparison, in 2013, Singapore's per capita GDP is US$55,000 and US's per capita GDP is US$53,000. Other benefits include: - Funding for international conferences and training courses - Collaboration opportunities with an excellent network of international scientists Candidates please send your curriculum vitae, a statement of research interests and three references to Dr. Yansong Chua (chuays(a)i2r.a-star.edu.sg) or Dr. Qiang Yu (yuqiang(a)i2r.a-star.edu.sg) More information: - Institute for Infocomm Research: http://www.i2r.a-star.edu.sg/ - Working in Singapore: http://www.contactsingapore.sg/professionals/why_ singapore/

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master in Brain and Cognition, with focus on Computational Neuroscience and Data Analysis, Barcelona
by Ruben Moreno Bote Feb. 23, 2017

Feb. 23, 2017

Dear Comp-neuro members, The Master in Brain and Cognition being offered at Pompeu Fabra University (UPF), Barcelona Spain (http://www.upf.edu/mbc/) opens the rolling application period. The core of the master's programme is composed of the research groups at UPF's Center for Brain and Cognition (http://cbc.upf.edu) In this email, we emphasize the possibility of participation of outstanding candidates with strong quantitative background, such as physics, mathematics or machine learning eager to learn about computational and cognitive neuroscience. Candidates with these backgrounds could perform research activity with the following experts in computational neuroscience: Gustavo Deco (http://cns.upf.edu/) Albert Compte (http://complab.fcrb.es/complab/pres) Rubén Moreno-Bote (https://portal.upf.edu/web/ruben-moreno-bote) Overall, the groups participating at the Master are directed by renowned scientists in areas such as computational neuroscience, cognitive neuroscience, psycholinguistics, vision, multisensory perception, human development and comparative cognition https://www.upf.edu/mbc/who_ are_we2.html . Students will be exposed to the ongoing research projects at the Center for Brain and Cognition and will be integrated in one of its main research lines, where they will conduct original research for their final project. Please visit the Master’s web page or contact mbc(a)upf.edu for further information. Scientific-related questions such as fit of quantitative backgrounds can be consulted to ruben.moreno(a)upf.edu Rubén Moreno-Bote -- Rubén Moreno Bote Serra Húnter 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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REMINDER: Call for Workshops - Bernstein Conference 2017
by Zrinka Gattin Feb. 23, 2017

Feb. 23, 2017

The Bernstein Network Computational Neuroscience and the Bernstein Center Göttingen invite proposals for Satellite Workshops. Satellite Workshops will directly precede the Bernstein Conference 2017 in Göttingen. ************************************************************** Important Dates: Workshops: September 12 - 13, 2017 Main Bernstein Conference: September 13 - 15, 2017 Deadline for proposal submission: March 01, 2017 Notification of workshop acceptance: March 27, 2017 ************************************************************** Since 2013, the Bernstein Conference hosts pre-conference workshops. They provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. Workshop formats should be designed to foster debate beyond a mere series of talks. The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. Workshop time frame: September 12, 2017, 13:00 - 18:00 September 13, 2017, 9:00 - 12:30 Workshop proposals are welcome for either half-day or full-day workshops. Workshop costs: NEW THIS YEAR – FINANCIAL SUPPORT: For all accepted workshops the registration is free of charge for organizers and speakers. Organizers will also receive a waiver for the main conference fee. New this year: From the accepted workshops a maximum of ten workshops will be selected to each receive financial support of up to 1.500,00 €. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. INSTRUCTIONS FOR WORKSHOP PROPOSALS PREPARATION Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops Deadline for submission of Workshop proposals: March 01, 2017 Accommodation and Hotel Reservation: We strongly recommend early room booking. The number of available accommodation is limited due to several concurrent events. We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Web-site (http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation) We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). The earliest expiration date is already end of May 2017 whereas the majority of offers expire at the 12th of July 2017. We strongly encourage participants to share rooms and to book rooms as a group. Groups of three or four are possible if you book a suite. The room contingent contains a set of suits and apartments. We emphasize that it will be very difficult to book accommodation beyond the expiration dates. Please find a list of the hotels at our Accommodations Web-site. CONTACT: contact(at)bccn-goettingen.de We are looking forward to seeing you in Göttingen! WORKSHOP SELECTION COMMITTEE: Florentin Wörgötter (Chair) Marion Silies (co-Chair) Christian Tetzlaff (co-Chair) Matthias Bethge Laura Busse Claudia Clopath Julia Fischer Alexander Gail Richard Hahnloser Claus Hilgetag Peter Jonas Siegrid Löwel Michael Platt Viola Priesemann Nicole Rust Fred Wolf (Conference Chair) -- Dr Zrinka Gattin Bernstein Center for Computational Neuroscience (BCCN) Goettingen Bernstein Focus Neurotechnology (BFNT) Goettingen PhD Program in Theoretical and Computational Neuroscience Am Fassberg 17 D-37077 Goettingen Phone: +49 (0)551 5176 418 Fax: +49 (0)551 5176 14418 E-Mail: zrinka(a)nld.ds.mpg.de

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PhD opening in the neural mechanisms of decision making
by Simon Kelly Feb. 22, 2017

Feb. 22, 2017

Applications are invited for a fully funded 4-year PhD position in the Cognitive Neural Systems lab (https://cogneusys.com/) led by Simon Kelly, to study the neural mechanisms of decision making. This position is part of a project funded by Science Foundation Ireland, which involves a combination of psychophysics, computational modelling, non-invasive electrophysiology of human brain and muscle, and analyses of existing single-cell neurophysiological data. The funded research is specifically focused on the impact of value (i.e., how much decision outcomes are worth) on the dynamics of decision formation in sensory, decision, and motor areas of the brain. However, the overall PhD can be significantly broader in scope (including e.g. biomedical/translational applications), depending on the student’s interests within the broader research themes of the lab. The Cognitive Neural Systems lab is situated within the School of Electrical and Electronic Engineering in University College Dublin, Ireland, and has strong collaborative links to basic cognitive and clinical neuroscience research groups both locally (e.g. Trinity College Institute of Neuroscience) and internationally (e.g. City College and Columbia University in New York). The successful applicant will have ample opportunities for wider collaborations and the learning of a broad range of experimental, conceptual, analytic and computational skills. Applicants should have a BSc/B.E. or Masters degree in neuroscience, psychology, Electrical/biomedical engineering, computer science, or other related discipline and a demonstrable interest in cognitive neuroscience. The ideal candidate will be highly motivated and have excellent communication skills. Any prior experience in programming, psychophysics, EEG and/or modelling, especially in the area of cognitive neuroscience, is a definite advantage. To apply, submit a CV, short cover letter and contact information for at least two referees to Dr Simon Kelly (simon.kelly(a)ucd.edu) Candidates should explain in their cover letter how their own research interests fit specifically with those of the Kelly lab. ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

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We have a wide range of posts open in Fudan Univ.
by jianfeng feng Feb. 22, 2017

Feb. 22, 2017

http://www.nature.com/naturejobs/science/jobs/606495-senior-research-fellow… -- -------------------------------------- J. Feng, Prof. of Biology, Computer Science, Medicine and Mathematics Warwick University, UK http://www.dcs.warwick.ac.uk/~feng Fudan University, PR China http://ccsb.fudan.edu.cn/

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Postdoc and PhD student for project on deep learning in artificial, human, and rodent brains
by Hans Op de Beeck Feb. 22, 2017

Feb. 22, 2017

Postdoc and PhD student for project on deep learning in artificial, human, and rodent brains For a project combining the domains of human functional neuroimaging, computational modelling, and rodent physiology, we are looking for two new collaborators. Hirings can be at the level of postdoc as well as PhD student. First, we look for a scientist to implement and further develop deep neural network modelling. The aim is to compare the representations in these artificial networks over the course of training with neural responses in human and rodent cortex. Here we build upon earlier work such as Kubilius et al. (2016, PLOS Comput. Biology). Candidates should have a background in computational neuroscience, computer vision, artificial intelligence, or related fields. Second, we look for a scientist to study the cortical basis of visual learning in awake rodents through extracellular recordings using electrode arrays. Relevant earlier studies from our lab in this domain are Vinken et al. (2014, J. Neurosci.) and Vinken et al. (2016, Cerebral Cortex). Candidates should have a background in Neurobiology, Neuroscience, Psychology, Biomedical sciences, Bioengineering or a related field. Independent of career stage (so also for incoming PhD students), only candidates will be considered that have a quantitative and computational background including expertise with Matlab, good social skills and team spirit, and good communication skills in English (oral and written). For PhD students, we expect a competitive study record putting the student among the top students in an internationally competitive program. For postdocs, we expect a relevant and competitive publication record (e.g., in computational and systems neuroscience) including first-author peer-reviewed publications. The research will be implemented in the research group of Hans Op de Beeck in the Laboratory of Biological Psychology at the University of Leuven (KU Leuven, Belgium). The research group focuses upon multidisciplinary work, including human neuroscience research with functional magnetic resonance imaging, rodent behaviour & electrophysiology, and computational modelling. Many members of the group come from countries outside Belgium (e.g., Canada, Brasil, South-Korea, Italy, Belarus), and the professional language is English. The city of Leuven is an old, medieval city which is very lively thanks to a large population of students and researchers. Leuven is at 25 km from Brussels, with frequent direct train connections, also to the international airport of Brussels (20 minutes by train). The university is one of the oldest in the Low Countries (founded in 1425) and is ranked in the top 50 of universities worldwide (THE ranking). It is home to a large community of systems/cognitive/visual/computational neuroscientists. Applications should be submitted before March 8th 2017. Funding is available for up to 3 (postdoc) or 4 (PhD student) years. The starting date is flexible between May and October 2017. Informal queries for further information can be sent to hans.opdebeeck(a)kuleuven.be<mailto:hans.opdebeeck@kuleuven.be> . For the formal application, applicants should go to https://icts.kuleuven.be/apps/jobsite/vacatures/54073261. The site will ask for a motivation letter (please include contact information for 2 references) and a CV (please include a list of publications if applicable). --- Prof. Dr. Hans P. Op de Beeck Professor in Brain & Cognition Program Director of KU Leuven Bachelor Psychology Laboratory of Biological Psychology University of Leuven (KU Leuven), Belgium Tiensestraat 102, 3000 Leuven, Belgium Email: hans.opdebeeck(a)kuleuven.be<mailto:hans.opdebeeck@kuleuven.be> Website: http://ppw.kuleuven.be/home/english/research/lbp/lbpMembers/00029058

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Connectomics. Advanced Course. Siena, Tuscany April 22-29, 2017
by Francesca Martini/NSAS Feb. 22, 2017

Feb. 22, 2017

Dear All, The last few seats remain for: Advanced Course Connectomics Neuroscience School of Advanced Studies Certosa di Pontignano, Siena, Tuscany April 22-29, 2017 <http://www.nsas.it/courses-workshops/advanced-courses/connectomics/> http://www.nsas.it/courses-workshops/advanced-courses/connectomics/ Coordinator: Sean Hill École Polytechnique Fédérale & The Blue Brain Project, Lausanne, Switzerland Faculty include: Julie Harris, Allen Institute for Brain Science, Seattle. USA Michael Milham, Child Mind Institute, New York, USA Fabrizio de Vico Fallani, Inria & Institut du Cerveau et de la Moelle, Paris, France Patric Hagmann, University of Lausanne, Switzerland Marcello Massimini, University of Milan, Italy Viktor Jirsa, Aix-Marseille University, France Sean Hill, École Polytechnique Fédérale & The Blue Brain Project, Lausanne, Switzerland This Advanced Course will focus on multi-scale aspects of the connectome the comprehensive wiring diagram of the brain and its impact on brain function, behavior and health. Ion channels, receptors, cells and synapses breathe dynamics into this wiring diagram and give rise to sensory responses, perceptions, decisions, memories and actions. When we fall into a deep dreamless sleep, our connectome doesnt change, nor does it change when we experience the vivid hallucinations of dreams. Yet it is the substrate of human experience disrupting the connectome gives rise to neurological deficits or disorders. Emphasis will be placed on the latest techniques of large-scale data acquisition, analysis, theory, modeling and simulation. The Advanced Course will cover 1) the cellular basis of connectivity including gene expression, morphology and electrophysiology, 2) large-scale data gathering and data analysis of whole brain connectivity across scales including electron microscopy, single neurons, meso-scale viral tracers, diffusion and functional whole brain imaging; 3) data integration of multimodal connectome data; 4) data-driven computational modeling and simulation at different scales of brain circuitry; 5) theoretical analyses of brain network topology and principles of connectivity; 6) the development of the connectome and its link to behavior and neurological disorders; 7) predicting whole brain dynamics from the connectome; 8) wakefulness, sleep and disorders of consciousness: the relationship between the connectome and the diversity of brain states and experiences. Course Format <http://www.nsas.it/courses-workshops/course-format/> http://www.nsas.it/courses-workshops/course-format/ Application Form <http://www.nsas.it/courses-workshops/application-form/> http://www.nsas.it/courses-workshops/application-form/ Kind regards, Francesca The Course Secretariat Neuroscience School of Advanced Studies Certosa di Pontignano Via di Pontignano 5, Castelnuovo Berardenga, Siena. Italy Tel. +39.0577.146.0003

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Postdoctoral Positions in Machine Learning and Neuromodulation at Emory University and Georgia Tech
by Babak Mahmoudi Feb. 22, 2017

Feb. 22, 2017

Postdoctoral positions are available at Emory University School of Medicine and Georgia Institute of Technology on developing machine learning algorithms and data analytics tools for the optimization of neuromodulation therapies for epilepsy and memory. The successful candidate will collaborate with scientists and clinicians in the Departments of Biomedical Informatics, Neurosurgery, Neurology and Biomedical Engineering at Emory University and Georgia Tech, Grenoble University at France, and medical device industry partners. The ideal candidate will have a PhD in Computer Science, Biomedical Engineering, Computational Neuroscience or related fields with a strong background in machine learning, optimization theory, multivariate analysis and signal processing. Programming skill sets in Matlab and other languages (e.g., C++ and python) would be key to a successful candidate. Inquiries should be addressed to Babak Mahmoudi (b.mahmoudi(a)emory.edu) The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Please send applications including a CV, statement of research interests, and the names and full contact details of three references to b.mahmoudi(a)emory.edu

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Post-doc proposal: Charting the human brain with fMRI
by Ana Luísa Pinho Feb. 22, 2017

Feb. 22, 2017

Please find enclosed a post-doc proposal for an original "exhaustive cognitive mapping" performed in the framework of the Human Brain Project. *Duration & salary*: 12 months renewable up to 3 years, about 2100 enet monthly *Research teams*: Parietal (INRIA Saclay) and Unicog (INSERM), located at Neurospin, Saclay,France. *Responsible:* Bertrand Thirion. Contact: bertrand.thirion(a)inria.fr *Application*: Interested candidate should send CV and motivation letter. The post-doc will be in charge of setting a set of protocols up and running to pass them on the existing pool of 12 subjects of the Individual Brain Charting project. These protocols will be provided by the community (potentially from in-house developments) are meant to cover a large array of sensory, motor and cognitive processes. The post-doc will take part to the set of acquisitions performed on Neurospin 3T scanner at high resolution (1.5mm) and analyze the data by using a pipeline provided by the lab. Detailed reports will be provided to assess the quality of the data, motivate the participants and document the content of the database. These reports will provide extensive information on the functional organization of the brain in each individual, which will furthermore be confronted to other imaging modalities, e.g. anatomical and functional connectivity. Complex alignment procedures will then be carried out to obtain a population-level mapping that will lead to the first data-based cognitive atlas of the human brain. The data and atlas and analysis material will be released publicly. See https://team.inria.fr/parietal/files/2011/07/post-doc_ibc-1.pdf for details.

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Postdoctoral position in computational neuroscience in New York
by Ruben Coen-Cagli Feb. 21, 2017

Feb. 21, 2017

Postdoctoral position in the Coen-Cagli Laboratory Albert Einstein College of Medicine, New York, NY I will be at Cosyne and available to meet with candidates there. I am looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in my lab at the Department of Systems and Computational Biology and Department of Neuroscience, Albert Einstein College of Medicine (AECOM) in New York City. The lab studies how biological sensory systems interpret the surrounding environment. Topics include probabilistic representations of natural images; models of selectivity and variability in large cortical populations; the perceptual consequences of neuronal variability; and uncertainty in visual and auditory perception. We combine theories of probabilistic neural coding, tools from computer vision and machine learning, psychophysics, and neurophysiology through collaborations. The candidate is expected to perform research related to these topics. Close interaction and collaboration with other members of the department is anticipated. https://sites.google.com/site/rubencoencagli/ Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research. Prior experience should include areas such as computational neuroscience, machine learning, computer vision, or statistics. Experience with psychophysics experiments is a plus. Applicants should have a keen interest in interdisciplinary approaches to biological and neural systems. AECOM offers a vibrant interdisciplinary environment, with a growing systems and computational contingent. It is located in a quiet neighborhood of New York, only a short subway ride from Manhattan. Information about working at the AECOM, including benefits and housing for postdocs, can be found at: https://www.einstein.yu.edu/research/belfer-institute/ The position starts in summer 2017, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to ruben.coencagli(a)gmail.com. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Albert Einstein College of Medicine, Inc. is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans. Ruben Coen Cagli, PhD Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/

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NeuroBridges 2017 (Second Call)
by ahmed el hady Feb. 20, 2017

Feb. 20, 2017

*NeuroBridges 2017 Summer school , Cluny, France* *(** September 3 - September 14, 2017 )* *NeuroBridges* is an initiative that was founded to bring Mediterrenean and Middle Eastern neuroscientists in an event to discuss science and promote mutual understanding. The two first events of the series took place in Goettingen, Germany in July 2014 (http://elsc.huji.ac.il/ content/neurobridges) and in Paris, France, in September 2015 ( http://elsc.huji.ac.il/content/second-neurobridges-meeting) Each of these three days events brought together twenty young speakers, Palestinians, Egyptians, Jordanians, Syrians and Israelis, as well as several speakers from the hosting countries. Nobel Laureate Erwin Neher opened NeuroBridges in 2014. Stanislas Dehaene, professeur au College De France and member of the French Academy of Sciences gave the opening lecture in NeuroBridges 2015. *NeuroBridges 2017* (http://decision-making-lab.com/NeuroBridges/ neurobridges2017.html) will be a ten days summer school. Students will attend lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions of contemporary neuroscience. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily from the Middle East and the Mediterranean region either working in their home countries or abroad. We will consider applicants with some background in applied mathematics, computer science, electrical engineering or physics, interested in theoretical brain and cognitive sciences. We will also consider those with biological or medical background given that they show proof of basic mathematical knowledge (i.e. linear algebra, calculus, in particular ordinary differential equation). Through the online application system (can be accessed through: http://decision-making-lab.com/NeuroBridges/neurobridges2017.html ) , you will be asked to provide personal details, academic background, the names of two referees , a motivation letter that should include a paragraph about your quantitative skills and a CV. The school will take place between September 3 and September 14, 2017 in Le Centre de Conférences Internationales de Cluny (CCIC) <http://www.ccic.eu/index.html>. Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. The application deadline is March 31st 2017. *NeuroBridges* is co-organized by Ahmed El Hady <http://scholar.princeton.edu/ahmedelhady/home>(Princeton Neuroscience Institute, USA), Yonatan Loewenstein <http://elsc.huji.ac.il/loewenstein/home> (Hebrew University of Jerusalem, Israel) and David Hansel <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel>(CNRS, Paris, France). *2017 Confirmed Faculty (check the website regularly for updated faculty list):* Carl van Vreeswijk (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/carl-van-vreeswijk/> Gianluigi Mongillo (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/gianluigi-mongillo/> Shaul Druckmann (Janelia) <https://www.janelia.org/people/shaul-druckmann> Yoram Burak (Hebrew University) <http://elsc.huji.ac.il/burak/home> Omri Barak (Technion) <http://neuroscience.technion.ac.il/researcher/19> Najib Majaj (NYU) <https://www.researchgate.net/profile/Najib_Majaj> Farzan Nadim (NJIT) <https://biology.njit.edu/people/nadim.php> Valerie Ego-Stengel (CNRS) <https://www.unic.cnrs-gif.fr/teams/Research%20group%20of%20Daniel%20Shulz> If you have any questions, please do not hesitate to email Ahmed El Hady (email: ahady(a)princeton.edu )

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PhD post in Computational Neuroscience
by McDaid, Liam Feb. 20, 2017

Feb. 20, 2017

Dear all, A PhD position in Computational Neuroscience is available at the Ulster University where the closing date for applications is Friday 24th February 2017. The position is fully funded with a start date of October 2017. Project title: A Computational Model of Regulating Neuronal Excitability by GABA Neurons The successful candidate will be based at Ulster working within the Intelligent Systems Research Centre (ISRC) and the position will involve close collaboration with colleague at University College London and the University of Manchester. The project will build on recent findings where it was shown that the GAT3 transporter facilitates the uptake of extracellular GABA and this is accompanied by a large increase in intracellular Na+ concentration, which can reverse the Na+/Ca2+ exchanger causing an intercellular increase in Ca2+. This may have an important role in regulating blood flow and also can result in the release of gliotransmitters, which is believed to modulate synaptic strength and transmission. Moreover, it is now believed that GAT3 induces a rise in extracellular adenosine that acts at presynaptic adenosine receptors and this is likely to cause a decrease in secondary messengers within cells. This is a completely novel mechanism of glia-neuron communication and capturing this interaction will be the major focus of this PhD. This exciting project will require the graduate to collaborate with experimental neuroscientists in the development of computational models of the above GABA mediated interactions and therefore at the end of the PhD study period he/she will expect to have gained significant expertise in computational modelling and neuroscience. We would also like to encourage international applicants. For more information on how to apply go to: https://www.ulster.ac.uk/faculties/computing-and-engineering/schools/resear… ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Postdoctoral position modeling gamma synchrony in Carmen Canavier's lab
by Canavier, Carmen C. Jan. 25, 2017

Jan. 25, 2017

Description A Senior Postdoctoral Researcher position is available in the area of Computational Neuroscience in the Department of Cell Biology and Anatomy, LSU Health New Orleans in the lab of Dr. Carmen Canavier. The main project will take an existing model of interneuronal network gamma (ING) and embed it within a network of hippocampal pyramidal neurons in order to build a model of pyramidal-interneuronal gamma (PING). The project will include both theoretical and empirical analyses of the synchronization properties of these networks, and in particular the contribution of intrinsic neuronal properties as compared to synaptic properties. These analyses require knowledge of linear and nonlinear systems theory, probability theory and signal processing. The project will require programming in python and the simulation package NEURON to run parallelized simulations on a Linux cluster. This position will include administering the lab’s computational cluster and mentoring both graduate and undergraduate students. Qualifications * Ph.D. in Engineering, Mathematics, Neuroscience, Physics, Computer Science or a related field of study * At least three (3) years of experience in computational neuroscience Preferred Qualifications * Writing code, running the simulation package NEURON, using single neuron models * Signal processing experience and familiarity with nonlinear dynamics Applicant Instructions Qualified applicants should submit curriculum vitae and three letters of reference using the following link https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/1…

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Symposia on Memory, March 6-10 in Barcelona
by Alex Roxin Jan. 25, 2017

Jan. 25, 2017

Dear all, This is a reminder that there will be a week-long series of Symposia on Memory at the Centre de Recerca Matemàtica this coming March 6-10. We will focus on a different topic each day, e.g. molecular and synaptic basis of memory, circuit mechanisms, cortex and hippocampus, and so on. There will be both experimental and theoretical talks; please look at the schedule if you are curious. You can view the schedule and register here http://www.crm.cat/en/Activities/Curs_2016-2017/Pages/MATHMEM_Symposia.aspx There is a special, reduced fee, single day registration if you cannot attend the full meeting. Note that the final day of the program will take place at the Institut d'Estudis Catalans, a historic building in the heart of Barcelona, right next door to where Santiago Ramón y Cajal taught medicine! You can still submit abstracts for a poster or a contributed talk of which there will be a limited number. The deadline for submission is the -31st of January-. I hope to see you in Barcelona. best regards, Alex

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Call for abstracts, symposia and registration for CNS 2017 in Antwerp, Belgium
by Daniele Marinazzo Jan. 24, 2017

Jan. 24, 2017

Dear all it's our pleasure to inform you that the site for the 26th Annual Computational Neuroscience Meeting is now up and running for submissions of papers and symposia proposals, and for registration. Please visit http://www.cnsorg.org/cns-2017 for all the info on the conference. We also have a twitter account https://twitter.com/CNS2017Antwerp Looking forward to seeing you in beautiful Antwerp from July 15th to 20th, for what will be a great meeting! On behalf of all the organizers Daniele -- Daniele Marinazzo -- Department of Data Analysis Faculty of Psychology and Pedagogical Sciences, Ghent University Henri Dunantlaan 1, B-9000 Ghent, Belgium +32 (0) 9 264 6375 <http://www.da.ugent.be/>http://users.ugent.be/~dmarinaz/ https://twitter.com/dan_marinazzo http://helpdesk.ugent.be/e-maildisclaimer.php

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Sense 2 Synapse 2017 Conference, Saturday April 8th, The Rockefeller University, New York City, Registration Open
by Christoph Kirst Jan. 24, 2017

Jan. 24, 2017

Dear Neuroscience Community, we like to invite you to join us for this year's *Sense 2 Synapse *which will be held on Saturday, *April 8th, 2017* 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. With *Larry Abbott *(Columbia University), *Nicole Rust* (University of Pennsylvania),****Sarah Woolley**(Columbia University) and*Gaby Maimon* (The Rockefeller University) we have a great list of key-note speakers, which will be complemented by talks selected from abstract submissions and a poster session. More information found on our website: *http://sense2synapse.com/ <https://urldefense.proofpoint.com/v2/url?u=http-3A__sense2synapse.com_&d=Dw…> * and you can register here: *http://www.sense2synapse.com/registrationForm <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.sense2synapse.com_r…>* Join us for a great day of science, discussions and nice food ! The organizing team Christoph Kirst Florian Berger Jeremie Barral Gonzalo Otazu Nicolas Renier -- 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 7561 :: ckirst(a)rockefeller.edu

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LM2017 - Second Call for Papers, Satellite Events and Sponsors (7 weeks until submission deadline)
by INFO CSNETWORK, Bústia Compartida Jan. 22, 2017

Jan. 22, 2017

**Apologies for crossposting** 2nd Call for Papers, Satellite Events and Sponsors Living Machines VI: The 6th International Conference on Biomimetic and Biohybrid Systems 25 – 28 July 2017 http://livingmachinesconference.eu/ <http://livingmachinesconference.eu/2017> Living Machines Conference | Home livingmachinesconference.eu Stanford will host Living Machines 2017! The 6th International Conference on Biomimetics and Biohybrid Systems will be hosted at Stanford University, California, US. To be hosted at Stanford University, Stanford, CA, USA Accepted papers will be published in Springer Lecturer Notes in Artificial Intelligence Submission deadline: March 10th, 2017 ______________________________________________________________ ABOUT LIVING MACHINES 2017 https://www.youtube.com/watch?v=WqPOCDh1FNw YouTube www.youtube.com and share it all with friends, family, and the world on YouTube. The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. Biomimetics is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. Biohybrid systems are formed by combining at least one biological component—an existing living system—and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The theme of the conference also encompasses biomimetic methods for manufacture, repair and recycling inspired by natural processes such as reproduction, digestion, morphogenesis and metamorphosis. The following are some examples of “Living Machines” as featured at past conferences: • Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. • Biomimetic computers—neuromimetic emulations of the physiological basis for intelligent behaviour. • Active biomimetic materials and structures that self-organize and self-repair. • Nature-inspired designs and manufacturing processes. • Biohybrid brain-machine interfaces and neural implants. • Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. • Organism-level biohybrids such as robot-animal or robot-human systems. ACTIVITIES The main conference will take the form of a three-day single-track oral and poster presentation programme, 26th to 28th July 2017, hosted at Stanford University, California, USA. The conference programme will include five plenary lectures from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies. The full conference will be preceded by up to two days of Satellite Events hosted at Stanford University. SUBMITTING TO LIVING MACHINES 2017 We invite both full papers and extended abstracts in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines Proceedings, published in the Springer-Verlag Lecture Notes in Artificial Intelligence. Full papers (minimum 8 pages, up to 12 pages) are invited from researchers at any stage in their career and should present significant findings and advances in biomimetic or biohybrid research. More preliminary work is better suited for short paper submission (minimum 4 pages, with a maximum of ten references and no more than three self-citations). Full papers will be accepted for either oral presentation (single track) or poster presentation with a short podium preview. Extended abstracts will be accepted for poster presentation only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of the Taylor & Francis journal Connection Science. Satellite events Active researchers in biomimetic and biohybrid systems are invited to propose topics for full or half-day tutorials, symposia or workshops on related themes to be held on the 25th July at Stanford University. Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is flexibility about the content, organisation, and budgeting for these events. Please contact us if you are interested in organising a satellite event! EXPECTED DEADLINES March 10th, 2017 Paper submission deadline April 28th, 2017 Notification of acceptance May 15th, 2017 Camera ready copy July 25th - 28th 2017 Conference SPONSORSHIP Organisations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products through conference publications, conference events, and conference publicity are encouraged to contact the organisers to discuss the terms of sponsorship and necessary arrangements. We offer a number of attractive options to potential sponsors: http://livingmachinesconference.eu/about/ VENUE Living Machines 2017 will be hosted at Stanford University a world leading research University that this year celebrates its 125th anniversary. Stanford is located in California's Bay Area, one of the most intellectually dynamic and culturally diverse areas of the US. Organising Committee: Mark Cutkosky, Stanford University (Local Organizing Chair) Paul Verschure, Universitat Pompeu Fabra (Co-Chair) Tony Prescott, University of Sheffield (Co-chair) Michael Mangan, University of Lincoln (Programme Chair) Marc Desmulliez, Heriott Watt University, Scotland (Steering Committee) Anna Mura, Universitat Pompeu Fabra (Web and Communications) Nathan Lepora, University of Bristol (Communications)

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New JETCAS Special Issue: Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms
by Arindam Basu Jan. 21, 2017

Jan. 21, 2017

Dear all ** Apologies for cross-posting Would like to draw your attention to a new Special issue in JETCAS on "Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms" that I am co-editing with colleagues. Manuscript submission deadline is on April 30, 2017. Look forward to receiving your contributions. IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS CALL for PAPERS Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms Guest Editors Full name Email Affiliation Arindam Basu* arindam.basu(a)ntu.edu.sg Nanyang Technological University Tanay Karnik tanay.karnik(a)intel.com Intel Hai Li hai.li(a)duke.edu Duke University Elisabetta Chicca chicca(a)cit-ec.uni-bielefeld.de Bielefeld University Meng-Fan Chang mfchang(a)mx.nthu.edu.tw National Tsing Hua University Jae-sun Seo jaesun.seo(a)asu.edu Arizona State University (* Corresponding) Scope and Purpose The recent success of “Deep neural networks” (DNN) has renewed interest in bio-inspired machine learning algorithms. DNN refers to neural networks with multiple layers (typically two or more) where the neurons are interconnected using tunable weights. Though these architectures are not new, availability of lots of data, huge computing power and new training techniques (such as unsupervised initialization, use of rectified linear units as the neuronal nonlinearity, regularization using dropout or sparsity, etc.) to prevent the networks from over-fitting have led to its great success in recent times. DNN has been applied to a variety of fields such as object or face recognition in images, word recognition in speech or even natural language processing and the success stories of DNN keep on increasing every day. However, the common training method in deep learning, such as back propagation, tunes the weights of neural networks based on the gradient of the error function, which requires a known output value for every input. It would be difficult to use such supervised learning methods to train and adapt to real-time sensory input data that are mostly unlabeled. In addition, training and classification phases of deep neural networks are typically separated, such that training occurs in the cloud or high-end graphics processing units, while their weights or synapses are fixed during deployment for classification. However, this makes it difficult for the neural network to continuously adapt to input or environment changes in real-world applications. By adopting unsupervised and semi-supervised learning rules found in biological nervous systems, we anticipate to enable adaptive neuromorphic systems for many real-time applications with a large amount of unlabeled data, similar to how humans analyze and associate sensory input data. Energy-efficient hardware implementation of these adaptive neuromorphic systems is particularly challenging due to intensive computation, memory, and communication that are necessary for online, real-time learning and classification. Cross-layer innovations on algorithms, architectures, circuits, and devices are required to enable adaptive intelligence especially on embedded systems with severe power and area constraints. Topics of Interest This special issue invites submissions relating to all aspects of adaptive neuromorphic systems across algorithms, devices, circuits, and architectures. Possible scalability to human brain-scale computing level with energy-efficient online learning is desired. Submissions are welcome in the following topics or other related topics: · Spin mode adaptive neuromorphics with devices such as spin transfer nano-oscillator, domain wall memory, tunneling magnetic resistance, inverse spin hall effect, etc. · Memristive technology based learning synapse and neurons · Neuromorphic implementations of synaptic plasticity, short-term adaptation and homeostatic mechanisms · Self-learning synapses (STDP and variants) and self-adaptive neuromorphic systems · High fan-in scalable interconnect fabric technologies mimicking brain-scale networks · Circuits and systems for efficient interfacing with post-CMOS memory based learning synapses · Design methodology and design tools for adaptive neuromorphic systems with post-CMOS devices · Algorithm, device, circuit, and architecture co-design for energy-efficient adaptive neuromorphic hardware Important Dates 1. Manuscript submissions due: April 30, 2017 2. First decision: July 15, 2017 3. Revised manuscripts due: August 15, 2017 4. Final Decision: October 15, 2017 5. Final manuscripts due: November 15, 2017 Request for Information Arindam Basu (arindam.basu(a)ntu.edu.sg<mailto:arindam.basu@ntu.edu.sg>) https://mc.manuscriptcentral.com/jetcas Best regards, Arindam ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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ICMNS 2017: *Reminder, Abstracts Due Jan 31, 2017*
by Zachary Kilpatrick Jan. 20, 2017

Jan. 20, 2017

This is a reminder that Abstract Submissions are due January 31, 2017 for the 3rd International Conference on Mathematical Neuroscience (ICMNS 2017), to be held at the Hotel Boulderado in Boulder, Colorado from May 30 to June 2, 2017. https://www.math.uh.edu/~zpkilpat/icmns2017/index.html <https://www.math.uh.edu/~zpkilpat/icmns2017/index.html> Meeting registration will open soon. Early Registration (Until March 31) will be $250 for students/postdocs, $350 for faculty, and $50 for tutorials. The International Conference on Mathematical Neuroscience will provide a forum for researchers to discuss current mathematical innovations emerging in neuroscience. A major aim of the conference is to attract and train young researchers on current methods in mathematical neuroscience. Abstract Submission: We encourage abstract submission by researchers from all areas of mathematical neuroscience. One page abstracts will be reviewed by a Program Committee and divided into three parallel talk sessions and a poster session. Details are given here: https://www.math.uh.edu/~zpkilpat/icmns2017/submissions.html <https://www.math.uh.edu/~zpkilpat/icmns2017/submissions.html> Student Travel Awards: This year, we will offer student travel awards, due to the generous support from NSF, SIAM, Burroughs Wellcome, and the University of Colorado. To apply, students must submit an abstract and include a current CV as part of their submitted document in Easychair. Confirmed Speakers Danielle Bassett (University of Pennsylvania) Paul Bressloff (University of Utah) Nicolas Brunel (University of Chicago) Sophie Deneve (École Normale Supérieure) Brent Doiron (University of Pittsburgh) Marla Feller (University of California, Berkeley) Ila Fiete (University of Texas) Stefano Fusi (Columbia University) Peter Thomas (Case Western Reserve University) Taro Toyoizumi (Riken Brain Science Institute) Tutorial Speakers: Paul Bressloff, Sophie Deneve, Brent Doiron, Stefano Fusi, Joel Zylberberg (University of Colorado, School of Medicine) Program Committee https://www.math.uh.edu/~zpkilpat/icmns2017/committees.html <https://www.math.uh.edu/~zpkilpat/icmns2017/committees.html> We hope to see you in Boulder this May! All the best Zachary Kilpatrick (University of Colorado) Julijana Gjorgjieva (Max Planck Institute for Brain Research) Robert Rosenbaum (University of Notre Dame)

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Fruit Fly Brain Hackathon 2017
by Yiyin Zhou Jan. 19, 2017

Jan. 19, 2017

Fruit Fly Brain Hackathon 2017 FFBH 2017 <http://www.bionet.ee.columbia.edu/hackathons/ffbh/2017>March 12, 2017Columbia University, New York, NY 10027 We are pleased to announce the 2nd Fruit Fly Brain Hackathon (FFBO 2017). This hackathon will feature the Fruit Fly Brain Observatory (FFBO) and its key components NeuroNLP and NeuroGFX. The former allows for exploring fruit fly brain data using plain English queries, and the latter facilitates the modeling and execution of such brain circuits. Brief tutorials will be given on the usage of the FFBO as well as developing new tools/features in FFBO. The hackathon is aimed at three main groups of participants: neurobiologists, modelers and software engineers. The goal of the hackathon is to bring together these three groups of participants to create new ideas to develop, use and improve the FFBO platform towards developing executable model of the fruit fly brain. The Fruit Fly Brain Hackathon is organized in conjunction with the Columbia Workshop on Brain Circuit, Memory and Computation on March 13-14, 2017. Participants of the hackathon are welcome to attend the workshop. Registration is free but all participants have to register <https://ffbo17.eventbrite.com/> (*https://ffbo17.eventbrite.com/ <https://ffbo17.eventbrite.com/>*). Organizers: Paul Richmond, Department of Computer Science, University of Sheffield Adam Tomkins, Department of Automatic Control and Systems Engineering, University of Sheffield Nikul Ukani, Department of Electrical Engineering, Columbia University Chung-Heng Yeh, Department of Electrical Engineering, Columbia University Yiyin Zhou, Department of Electrical Engineering, Columbia University More information can be found on the hackathon website: http://www.bionet.ee.columbia.edu/hackathons/ffbh/2017 ------------------------------------------------------------ ------------------ Best Regards, Yiyin Zhou, on behalf of the organizers

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Postdoc in Medical Data Science
by Philipp Berens Jan. 19, 2017

Jan. 19, 2017

The lab of Philipp Berens (www.berenslab.org) at the Institute for Ophthalmic Research (www.eye-tuebingen.de) at the Eberhard-Karls-University Tübingen is offering a position as Postdoctoral Researcher in _Medical Data Science for Ophthalmology_ to be filled as soon as possible, with funding for up to 4 years. The successful candidate will perform research at the interface of data science and medicine with the goal to advance statistical methods for predicting disease onset or identifying risk factors by combining classical epidemiological approaches with recent developments in deep learning. The work will be done in close collaboration with the lab of Marius Ueffing and the ZEISS Vision Lab at the Institute for Ophthalmic Research and will contribute to a better understanding of ophthalmic diseases such as diabetic retinopathy or macular degeneration. The Berens lab conducts research in computational neuroscience, data science and biostatistics with a focus on developing tools to integrate various data sources. We have recently developed a framework based on deep neural networks for detecting diabetic retinopathy from fundus images modeling the decision uncertainty of the classifier (https://doi.org/10.1101/084210) Tübingen is home to a vibrant machine learning community with ample opportunity for interaction with researchers at both the University as well as the Max Planck Institute for Intelligent Systems. The Institute of Ophthalmic Research is part of the Center of Ophthalmology, covering various aspects of ophthalmic research from basic retinal neuroscience to the development of gene therapy and neuroprosthetics. We offer employment with a salary and social benefits based on the collective agreement for public service employees in the academic and science sector, TV-L. The Eberhard-Karls-University of Tübingen promotes gender equality and therefore particularly encourages female scientists to apply. Preferential status will be given to handicapped persons, if equally qualified. Requirements: • PhD in machine learning, statistics or related fields • Experience with medical data • Programming experience in Python and R • Strong publication record and scientific independence Interested applicants should contact Dr. Philipp Berens (philipp.berens(a)uni-tuebingen.de) providing a curriculum vitae, a one-page description of past research experience & future research interests, a one-page description of the motivation for applying to this position and names of at least two people that could provide letters of reference. Please compile your application in one single PDF-file and add [Data Science Postdoc] to the subject line. -- University of Tübingen Institute for Ophthalmic Research http://www.berenslab.org NEW PHONE NUMBER: +49-7071-2988833

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3 years funded PhD in oscillatory behaviour in Alzheimer’s disease to establish biomarkers, Deadline 31st of January
by Eirini Mavritsaki Jan. 19, 2017

Jan. 19, 2017

Dear all, We are advertising a 3 year funded PhD project in "Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational modelling programme of PhD study" Successful applicants for our funded PhD studentships will receive a tax-free research stipend that tracks UK Research Council rates (currently £14,296) and a fee waiver to the value of Home / EU student PhD fees (currently £4,120). Closing date for applications Tuesday 31 January 2017 at 23:59. This is a transdisciplinary STEAM Project This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri). The project is collaborative work between Birmingham City University (Dr Eirini Mavritsak) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier’s. We plan to simulate this data and the changes observed in this data by developing a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model. The synaptic currents that sSoTS contains will allow us to extract the ERP profile and simulate the above described experiment. In addition to that sSoTS model has already successfully simulated visual search outcomes for patients with Alzheimer’s (Mavritsaki and Humphreys, 2013). The project is separated into two phases: in phase 1, we plan to develop the computational model to simulate controls and mild cognitive impairment patients and in phase 2 we are planning to extend the model to allow us to predict the development of the disease based on identified biomarkers. The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. CAP Research is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects. The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team. You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/courses/social-sciences Candidate Qualification and Specifications: Essential Ø The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or related area. Ø The applicant should have experience of computational modelling, evidenced by previous work or masters degree. Ø A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). Ø Experience in C++ and Matlab. Desirable Ø A Masters’ degree in research methods, psychology or computational modelling Ø Experience in EEG analysis Contact: Eirini Mavritsaki, Ph.D., CPsychol Email: eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> Best regards, Eirini Mavritsaki ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Special Issue in Frontiers 'Neuropsychology through the lenses of computational modelling' http://fron.tiers.in/go/r2e3M4 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Postdoctoral fellowship in computational neuroscience at Harvard
by Jan Drugowitsch Jan. 18, 2017

Jan. 18, 2017

Dear all, Jan Drugowitsch (Department of Neurobiology, Harvard) and Sam Gershman (Department of Psychology, Harvard) are seeking a postdoctoral fellow to work on a project combining computational modeling, psychophysics, and clinical studies. The project focuses on the neural basis of visual structure discovery, using motion perception as a model system. Our goal is to understand how neural circuits represent and reason about complex combinatorial structures, and how these neural circuits break down in autism. The postdoctoral fellow's main focus is the computational modeling component of the project. The Drugowitsch and Gershman labs are located in the Longwood medical area and Harvard’s Cambridge campus, respectively. Harvard, and the Boston area in general, has an excellent neuroscience community and programs in engineering, statistics, and related fields. Candidates must have a Ph.D. in a quantitative discipline and strong background in Bayesian modeling and computational neuroscience. Experience with visual psychophysics experiments is desirable but not essential. Applicants should send a CV and statement of research interests to Jan Drugowitsch (Jan_Drugowitsch(a)hms.harvard.edu) The initial appointment is for one year with the expectation of extension given satisfactory performance. Applications will be reviewed until the position is filled. Jan Drugowitsch will be attending the the Computational and Systems Neuroscience meeting on February 23-28 to interview potential candidates. Best regards, Jan Drugowitsch Assistant Professor in Neurobiology Harvard Medical School

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