- Comp-neuro - lists.cnsorg.org

Brain Modeling ToolKit
by Anton Arkhipov 21 Oct '17

21 Oct '17

Dear Colleague, We would like to announce the alpha release of the Brain Modeling ToolKit (BMTK), developed at the Allen Institute for Brain Science: https://github.com/AllenInstitute/bmtk. BMTK is a python-based software package for building and simulating models of neuronal circuits. It supports simulations at four levels of resolution (biophysically detailed, point-neuron, population statistics, and machine intelligence) by providing wrappers to tools such as NEURON, NEST, diPDE, and TensorFlow. This is an alpha release and we are working on creating more extensive documentation and tutorials. Meanwhile, we are very much looking forward to hearing feedback on the existing functionality. If you could try out the package and let us know about your experience, that would be very much appreciated! At this early stage, we are happy to work closely with you to help you get started on using the BMTK. Please email the lead developer of BMTK, Kael Dai, at kaeld(a)alleninstitute.org<mailto:kaeld@alleninstitute.org>, or to me, at antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>, with any questions. A good place to start is the user guide: https://alleninstitute.github.io/bmtk We are looking forward to your feedback! Many thanks, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 [cid:image001.png@01D349BD.C61A1100] www.alleninstitute.org<http://www.alleninstitute.org/>

1 0

final schedule for workshop on high performance computing in neuroscience
by Ted Carnevale 19 Oct '17

19 Oct '17

The final schedule for the workshop on high performance computing in neuroscience, which will be held November 11 from 8:30 AM to 12:30 PM at the 2017 meeting of the Society for Neuroscience, is now available at http://www.nsgportal.org/SFN2017_workshop.html --Ted

1 0

COSYNE 2018: Abstract submission is now open, Call for workshop proposals
by Tomas Hromadka 18 Oct '17

18 Oct '17

==================================================== Computational and Systems Neuroscience 2018 (Cosyne) MAIN MEETING 01 - 04 March 2018 Denver, Colorado WORKSHOPS 05 - 06 March 2018 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Workshop proposal deadline: 10 November 2017 Abstract submission deadline: 20 November 2017 ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. For more information and details on submitting abstracts please visit Cosyne.org -> Abstracts. COSYNE SPEAKERS Tim Behrens (Oxford) Josh Berke (UCSF) Tiago Branco (UCL) Jessica Cardin (Yale) Claudia Clopath (Imperial) Marlene Cohen (Pittsburgh) Iain Couzin (Max-Planck) Carina Curto (Penn State) Ann Graybiel (MIT) Vivek Jayaraman (Janelia) Mate Lengyel (Cambridge) Joni Wallis (Berkeley) Byron Yu (CMU) ORGANIZING COMMITTEE General Chairs: Ilana Witten (Princeton) and Eric Shea-Brown (U Washington) Program Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Workshop Chairs: Laura Busse (LMU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at Cosyne.org -> Workshops). Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a single person should not speak in more than one of the Workshops taking place on the same day. WORKSHOP DETAILS - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8.00-11.00 AM) and afternoon (4.30-7.30 PM) sessions. - Workshops will be held at Breckenridge, CO, a ski resort located 100 miles (approximately two hours) from the Denver International Airport. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS Workshop proposal deadline: 10 November 2017 Format: plain text only, please no attachments, email to workshops [at] cosyne.org (Laura Busse, Ralf Haefner) Proposals should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs 2 days, please explain why. - A brief resume of the workshop organizer along with a short list of workshop-relevant publications (about half a page total). - A list of confirmed speakers. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. WORKSHOP COSTS Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expcted to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complementary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE WORKSHOP QUESTIONS workshops [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

1 0

Post-doc position in Human Intracranial Physiology and Human Memory
by Zaghloul, Kareem (NIH/NINDS) [E] 18 Oct '17

18 Oct '17

Hi, I would like to post the following advertisement for an available post-doc position to the comp-neuro listserve. If you could help me with that, I would appreciate it. Please let me know if you need any more information. Thank you for your help, Kareem Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380 The National Institute of Neurological Disorders and Stroke is seeking a full-time post-doctoral position focused on understanding the neural correlates of human memory. This position involves studies focused on analyzing and manipulating human intracranial electrophysiological signals, including single-unit activity, local field potentials, and electro corticography (ECoG), captured from patients with medically refractory epilepsy and from patients receiving deep brain stimulation surgery. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human episodic memory formation and decision making and at developing novel and innovative techniques to directly communicate with those circuits. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants who will be attending either the Society for Neuroscience (Washington, DC), or American Epilepsy Society (Washington, DC) conferences can arrange for a meeting with the Principal Investigator, Dr. Kareem Zaghloul. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at: zaghloulka(a)mail.nih.gov<mailto:zaghloulka@mail.nih.gov> NIH, an agency of DHHS, is an equal opportunity employer. All employees are subject to background investigation.

1 0

Neuroscience Graduate Group at the University of Pennsylvania
by Gold, Joshua 18 Oct '17

18 Oct '17

The Neuroscience Graduate Group (NGG; http://www.med.upenn.edu/ngg/) at the University of Pennsylvania is a collaborative and interdisciplinary PhD program that is currently accepting applications for matriculation in the fall of 2018. We are particularly interested in attracting exceptional applicants with backgrounds in Neuroscience, Computer Science, Cognitive Science, Mathematics, Engineering, Physics, and/or Psychology and are interested in the broadly defined field of Computational Neuroscience. We have a robust and interdisciplinary community of scholars in this field, including: Geoff Aguirre, Neurology Vijay Balasubramanian, Physics Danielle S Bassett, Bioengineering David H Brainard, Psychology Maja Bucan, Genetics Johannes Burge, Psychology Alice S Chen-Plotkin, Neurology Brian Chow, Bioengineering Yale E Cohen, Otorhinolaryngology Diego Contreras, Neuroscience Long Ding, Neuroscience Steven Eliades, Otorhinolaryngology Russell Epstein, Psychology Christopher M Fang-Yen, Bioengineering Michael Freed, Neuroscience Maria Neimark Geffen, Otorhinolaryngology Joshua I Gold, Neuroscience Joseph W Kable, Psychology Michael J Kahana, Psychology Elani Katifori, Physics Max Kelz, Anesthesiology Konrad Kording, Neuroscience and Bioengineering Daniel Lee, Electrical and Systems Engineering Brian Litt, Neurology and Bioengineering Minghong Ma, Neuroscience Joel D Mainland, Neuroscience Philip Nelson, Physics Michael Platt, Neuroscience, Marketing, and Psychology Nicole C Rust, Psychology Marc Schmidt, Biology Robert G Smith, Neuroscience Alan A Stocker, Psychology Sharon Thompson-Schill, Psychology Penn also has strong programs in Statistics, Computer Science, Engineering, and Psychology with faculty actively involved in machine learning, decision making, perception, and computational learning theory. NGG students are encouraged to pursue collaborations and interactions with these groups. Penn also is home to the Computational Neuroscience Initiative (https://cni.upenn.edu) which oversees many of our academic and research programs related to computational neuroscience. The application deadline for the NGG is December 1, 2017. For more details please see our website: http://www.med.upenn.edu/ngg/app_info.shtml ----- Joshua Gold Chair, Neuroscience Graduate Group University of Pennsylvania Philadelphia, PA 19104-6074 jigold(a)pennmedicine.upenn.edu<mailto:jigold@mail.med.upenn.edu>

1 0

PhD studentship in the Humphries lab
by Mark Humphries 18 Oct '17

18 Oct '17

A potentially fully-funded UK/EU PhD studentship project is available in the Humphries lab at the University of Manchester, UK A wide range of neurological disorders, including Parkinson's disease, Huntington's disease and Tourette's syndrome have been linked to the aberrant activity of output neurons in the massive, subcortical striatum. It is unknown how such aberrant activity arises from the changes to the brain known to occur in these disorders. This project will test the hypothesis that the network of fast-spiking interneurons within the striatum are a common cause of this aberrant activity. Please see here for full details: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=84600&LID=1020 And here for how to apply, deadline Friday November 17th 2017: https://www.bmh.manchester.ac.uk/study/research/mrc-dtp/ Any questions please contact Dr Mark Humphries directly (mark.humphries(a)manchester.ac.uk<mailto:mark.humphries@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

1 0

3 postdoc positions for a 3 years interdisciplinary project on Human vs Machine Intelligence
by GOMEZ GUTIERREZ, Emilia 18 Oct '17

18 Oct '17

Dear comp-neuro list, We are starting an interdisciplinary research project related to the scientific understanding of artificial intelligence and its influence on human cognition and behaviour, and we are currently building a team of postdocs. I thought the topic might be interesting for some researchers in this mailing list. Application deadline is in one week, October 26th. I copy a short summary below, but please contact me for further information. Best regards, emilia ------------------------------------------------------------------------- Emilia Gómez Associate Professor, Music Technology Group - DTIC Universitat Pompeu Fabra, Barcelona http://emiliagomez.com ----- The Joint Research Centre (JRC) <https://ec.europa.eu/jrc/>is the European Commission's science and knowledge service which employs scientists to carry out research in order to provide independent scientific advice and support to EU policy. The JRC Centre for Advanced Studies <https://ec.europa.eu/jrc/en/research/centre-advanced-studies> (JRC-CAS) was established to enhance the JRC’s capabilities to meet emerging challenges at the science-policy interface. JRC-CAS is now launching HUMAINT <https://ec.europa.eu/jrc/en/science-update/humaint-project>, a three year interdisciplinary project to understand the potential impact of machine learning in human behaviour and societal welfare. It will be carried out at JRC centre in Seville, Spain. There will be close collaboration with the Music Technology Group <http://mtg.upf.edu/> and the Department of Information and Communication Technologies of Universitat Pompeu Fabra <https://www.upf.edu/web/etic> in Barcelona, Spain. The project will (1) provide a scientific understanding of machine vs human intelligence; (2) analyze the influence of machine learning algorithms into human behaviour (3) investigate to what extent these findings should influence the European regulatory framework. In the context of this project, *three postdoc positions* in the area of machine learning and human behaviour are open for appointment from January 1, 2018, at the Joint Research Centre (European Commission) in Seville, Spain. The fully funded positions are available for a period of three years. Particular areas of interests: - Fairness, accountability, transparency, explainability of machine learning methods. - Social, ethical and economic aspects of artificial intelligence. - Cognitive and computational neuroscience, behavioural studies. - Human-computer interaction and human-centered machine learning. - Digital and behavioural economy. - Application domains: music and arts, social networks, health, transport, energy. We are looking for highly motivated, independent, and outstanding postdoc candidates with a strong background in machine learning and/or human behaviour. An excellent research track record, ability to communicate research results and involvement in community initiatives is expected. Candidates should have EU/EEA citizenship. The JRC <https://ec.europa.eu/jrc/> offers an enriching multi-cultural and multi-lingual work environment with lifelong learning and professional development opportunities, and close links to top research organisations and international bodies around the world. Postdoctoral researchers receive a competitive salary and excellent working conditions, and will define their own research agenda inline with the project goals. JRC-Seville is located in Cartuja 93 <https://www.google.es/maps/place/Joint+Research+Centre+(JRC-Seville)/@37.39…>scientific and technological park. Seville <https://www.youtube.com/watch?v=mZXdXzntmok> is the fourth-largest city in Spain. With more than 30 centuries of history (gateway of America for two centuries, main actor in the first circumnavigation of the Earth), three UNESCO World Heritage Sites, and privileged climate, it combines its historical and touristic character with a consolidated economic development and innovation potential. We are also open for *collaborations with external researchers*, as one of our goals is to build an expert network in the topics. You may obtain *further information* about the scientific aspects of the positions from Dr. Emilia Gómez (project scientific leader: emilia.gomez(a)upf.edu, <emilia.gomez(a)upf.edu> using the subject [humaint]) and at the following web pages http://recruitment.jrc.e c.europa.eu/?site=SVQ&type=AX&category=FGIV <http://recruitment.jrc.ec.europa.eu/?site=SVQ&type=AX&category=FGIV> and https://ec.europa.eu/jrc/en/working-with-us/jobs <https://ec.europa.eu/jrc/en/working-with-us/jobs>. *YOU CAN APPLY HERE <http://recruitment.jrc.ec.europa.eu/?site=SVQ&type=AX&category=FGIV> BY OCTOBER 26, 2017 * -- ------------------------------------------------------------------------- Emilia Gómez Associate Professor, Serra-Húnter & ICREA Academia Fellow Music Technology Group - DTIC Universitat Pompeu Fabra, Barcelona http://emiliagomez.wordpress.com

1 0

CfP 27th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2018)
by Barakova, E.I. 18 Oct '17

18 Oct '17

[We apologize if you receive multiple copies of this message] ========================================================================== *** Call for Papers *** 27th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2018) Jiangsu Conference Center, Nanjing, Sheraton, Tai'an CHINA August 27th - September 1st 2018 www.ro-man2018.org ========================================================================== ========================================================================== The 27th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2018, will be held in Nanjing and Tai'an, China, on August 27 to September 1st. This leading forum on Robot and Human Interactive Communication covers the state-of-the-art innovative results and the latest developments in a wide range of topics. This year's theme is "Social Intelligence in Interactive Robots". The conference will look at the impact of friendly, open, ecological and useful cognitive robots in practical & real life applications in healthcare, industry, edutainment, and more, in the context of coexistence and cooperation. The main conference will host presentations of original contributions including new methods, theories and applications of Human-Robot Interactive Communication Systems. Multi-disciplinary approaches and practical solutions are highly encouraged. The workshops, tutorials, and industrial sessions will provide an opportunity to participants from academia and industry to focus on specific and prospective topics. Three keynote speakers will give plenary talks about emerging technologies and methods in human-robot interactive systems and their future. Regular papers. Prospective authors are invited to submit high-quality papers reporting original results under the broad theme socially intelligent robots. Tutorials and workshops will provide half-day or full-day training or discussions in applied research and applications. Proposals for tutorials and workshops should include: objectives, intended audience, list of prospective speakers, and topic list. Special sessions. Prospective special session organizers are invited to submit a proposal to the special session chair. Papers submitted to special sessions will undergo the same review process as the regular papers and will be included in the conference proceedings. Poster Sessions. Prospective authors are invited to submit their recent applied research, innovative applications and work-in-progress to be broadly discussed in designated interactive sessions. Video/ Demos/ Exhibit sessions. The conference offers an excellent opportunity for the industry to showcase their products and services. Startups and labs are also invited to present their prototypes and concepts. Industrial sessions. Participants are invited to share their proof-of-concepts, advanced prototypes, and industrial applications to scientific and industrial audience. Important Dates: Special Sessions, Workshops & Tutorials: Submission Deadline: January 19, 2018 Notification of Acceptance:February 2, 2018 Regular Papers, Special Session Papers: Submission Deadline: March 19, 2018 Notification of Acceptance: May 15, 2018 Camera-ready Deadline: June 5, 2018 Interactive Poster Sessions, Video Sessions, and Demonstration Sessions: Submission Deadline: May 22, 2018 Notification of Acceptance: June 5, 2018 Honorary General Chair Kazuhiko Kawamura, USA General Chair Ryad Chellali, China/ Italy Financial Co-Chairs Honghai Liu, China Lyn Lee, China Program Co-Chairs Fulvio Mastrogiovanni, Italy Amit Kumar Pandey, France Haoping Wang, China Tutorial & Workshop Co-Chairs Juan Rojas, China Silvia Rossi, Italy Exhibition Industry Co-Chairs Pierre Blazevic, France Yi Yang, China Huan Tan, USA Awards Co-Chairs Mary Anne Williams, Australia Marwala Tshilidzi, South Africa Publication Co-Chairs John-John Cabibihan, Qatar Erdem Erdemir, USA Publicity Co-Chairs Emilia Barakova, The Netherlands Yudong Zhang, China Secretariat Meiling Kate Shen, China Contact: info(a)ro-man2018.org Emilia I. Barakova, Ph.D., Faculty of Industrial Design, Eindhoven University of Technology Laplace 32, 5612 AZ Eindhoven The Netherlands, Head ID Social Robotics Lab, Editor Personal and Ubiquitous Computing, Associate Editor Journal of Integrative Neuroscience, http://www.idemployee.id.tue.nl/e.i.barakova/

1 0

Two Post-doc/PhD positions in computational modeling of epilepsy
by Jochen Triesch 18 Oct '17

18 Oct '17

Two Post-doc/PhD positions are available in the context of Frankfurt's new Center for Personalized Translational Epilepsy Research (CePTER). The project focuses on better understanding circuit changes and neuroimmune interactions during the development of epilepsy and is jointly lead by Profs. Peter Jedlicka and Jochen Triesch. The positions are based at the Frankfurt Institute for Advanced Studies (https://fias.uni-frankfurt.de/en/) Frankfurt has a vibrant Neuroscience community and the successful candidates will work closely together with experimental labs. Ideal candidates will have obtained a PhD/Master Degree in Computational Neuroscience or closely related field and have a strong interest in applying their knowledge to problems of medical relevance. Prior experience with modeling spiking neural networks or compartmental modeling is highly desirable. Experience in modeling epilepsy, neural plasticity and neuro-immune interactions is a plus. Earliest starting date is in January 2018. Review of applications will continue until the positions have been filled. Applications (single pdf file including CV, list of publications, statement of research interests and names and email addresses of three references) should be sent to jedlicka(a)em.uni-frankfurt.de and triesch(a)fias.uni-frankfurt.de . Peter Jedlicka and Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

1 0

Postdoctoral position in memory and sleep at U-Michigan
by Kamran Diba 17 Oct '17

17 Oct '17

The Diba Lab for Neural Circuits and Memory <https://sites.lsa.umich.edu/diba-lab/> at the University of Michigan is currently looking for a qualified postdoctoral scholar. We are focused on understanding mechanisms supporting cross-regional circuit dynamics in waking and sleep and their respective roles during memory formation. We use large-scale in-vivo electrophysiology, optical imaging, circuit manipulations (including optogenetics), network modeling (in collaboration with Sen Cheng <http://www.rd.ruhr-uni-bochum.de/neuro/wiss/pi/cheng.html.en>’s Lab at Ruhr University-Bochum) and extensive data analyses to investigate these questions in hippocampal and cortical networks. The preferred candidate would have experience in one or more of these areas: unit/spectral analysis, computational network modeling, electrophysiology, imaging, neuroanatomy. Postdocs will provide scientific input in the project and will be trained with the goal of becoming independent investigators. Please contact Kamran Diba directly mailto:kdiba@umich.edu <kdiba(a)umich.edu> and include your CV and description of your research interests and experience. Salaries will follow the National Research Service Awards (NRSA) postdoctoral payscale <https://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-131.html>.

1 0

PhD position in computational & experimental approaches to naturalistic behavior
by Constantin Rothkopf 17 Oct '17

17 Oct '17

Applications are invited for a PhD student position in the lab of Constantin Rothkopf at the Technical University Darmstadt. The lab is part of the newly established Centre for Cognitive Science and the Institute of Psychology. Our work focuses on computational and experimental approaches to further the understanding of naturalistic, sequential visuomotor behavior in humans, including experimental approaches to investigate cue integration in complex natural tasks (e.g., motor control, locomotion, navigation and spatial orientation). Current topics include: - statistics of visuomotor behavior in naturalistic tasks, - image statistics during visuomotor behavior in-the-wild, - optimal control models of visuomotor behavior, - inverse-optimal-control in human visuomotor behavior, - eye-movements in naturalistic tasks, - cue integration for navigation (optic flow and locomotion, locomotion and cognitive maps). For further information please visit our websites: http://www.pip.tu-darmstadt.de/ http://www.fias.uni-frankfurt.de/~rothkopf/ Applicants need to have a Master's degree in cognitive science, computer science, psychology, or related fields. In addition to a strong general interest in cognitive science, computational science, experimental psychology, and interdisciplinary research, the ideal candidate has a background in eye-tracking or virtual reality technology. Experience with programming (e.g. Python, Matlab, C++, Unity) is inevitable. Analytical aptitude as well as awareness of experimental literature is expected. We offer a supportive and multidisciplinary environment driven by scientific curiosity, lab facilities for measuring extended behavior (e.g. visuomotor, motor, locomotive, spatial) in-the-wild and in VR, as well as international collaborations. Informal inquiries may be made to Constantin Rothkopf at constantin.rothkopf(a)cogsci.tu-darmstadt.de

1 0

Postdoctoral positions in theoretical neuroscience
by Jonathan Touboul 17 Oct '17

17 Oct '17

Up to two postdoctoral positions are available at Brandeis University to work on exciting problems in theoretical neuroscience (mathematical-neuroscience.net <http://mathematical-neuroscience.net/>). Research topics include the analysis of the dynamics of neuron model or neural networks with heterogeneous elements, learning, memory and pathological brain states, as well as the embryonic development of neural assemblies. Techniques include numerical simulations, dynamical systems (with delays, jumps and/or multiple timescales), probabilities and statistical physics. All projects will involve heavy collaboration with experimental groups in Boston area, Paris and abroad. The positions are up to 3 year terms, contingent upon satisfactory progress, with competitive salary and benefits packages. The fellows will participate to the vibrant scholar life in the Boston area. The successful candidates will join the Mathematics Department at Brandeis University (http://www.brandeis.edu/departments/mathematics/ <http://www.brandeis.edu/departments/mathematics/>) with strong ties to the Neuroscience group (http://www.bio.brandeis.edu/ <http://www.bio.brandeis.edu/>). Opportunities to teach in the math department could be available and are encouraged! Candidates should have a Ph.D. in mathematics, (computational) neuroscience, physics or engineering and have an excellent track record of scholarship, have experience in dynamical systems and/or stochastic models, and be familiar with computational programing. Applications from under-represented groups are strongly encouraged. Candidates should send their CV, a cover letter indicating their research interests and professional goals, and names and contact information of two references to jtouboul(a)brandeis.edu <mailto:jtouboul@brandeis.edu> . Best wishes, Jon

1 0

Two postdoc positions Canavier lab
by Canavier, Carmen C. 16 Oct '17

16 Oct '17

A Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans to study cholinergic contributions to hippocampal information processing in close collaboration with electrophysiologist Sonia Gasparini. The successful candidate will construct a morphologically and biophysically realistic model of a hippocampal CA1 pyramidal neuron to explain the observed frequency selectivity of different dendritic regions for slow versus fast gamma band inputs. Some network modeling will also be required for the project. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the hippocampus. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. Qualified candidates may submit resume along with cover letter and contact information for three references electronically to: SOM-recruits(a)lsuhsc.edu; reference 00049561. Applications should be received before Nov 15 to ensure consideration for the position. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans. A second Postdoctoral Researcher position will available Jan 1.?in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans to study the dynamic diversity of midbrain dopamine neurons in close collaboration with electrophysiologist Jochen Roeper at Goethe University in Frankfurt, Germany. The successful candidate will construct morphologically and biophysically realistic models of distinct subpopulations of dopamine neurons to account for experimentally observed differences in their bursting and pacemaking dynamics. These simulations will require in some cases incorporation of stochastic channel models and second messenger cascades. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the basal ganglia. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. Please email CV to ccanav(a)lsuhsc.edu for more information. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.?

1 0

Announcing our new Computational Neuroscience Center at the University of Washington; positions available
by fairhall＠u.washington.edu 16 Oct '17

16 Oct '17

We’re delighted to announce the formation of the University of Washington Computational Neuroscience Center (compneuro.washington.edu) The Center brings together research across the full spectrum of mechanisms and functions of the brain, developing new theoretical, computational and statistical tools to unify and interpret the extraordinary data on neural systems being gathered by our partners in Seattle and around the world. Come join us! Faculty positions: We’re hiring an assistant professor to join the UW-CNC in the Department of Physiology and Biophysics. Application review is still open! http://depts.washington.edu/pbiopage/2017-compneuro-faculty-search/ Center administrator: We have an opening for someone passionate about facilitating and building the interdisciplinary scientific community of the UW-CNC. Role includes administering training programs and outreach, grantwriting support for center grants, organizing conferences and meetings, and recruiting for the center, with opportunities for writing about the center and its science and more. Please send a cv/resume and statement of interest to cncadmin(a)uw.edu. Postdoctoral positions: We are hiring a postdoctoral fellow to join our Swartz Center for Theoretical Neuroscience, position available immediately. To apply send a research statement, cv and the contact information for at least two referees to cncadmin(a)uw.edu Graduate students: UW has numerous graduate programs suitable for students interested in neural computation. Funding and training opportunities are many, including NIH Training Program in Neural Computation and Engineering at UW, the Big Data in Genomics and Neuroscience Training Grant, the University of Washington Institute for Neuroengineering, and the Center for Sensorimotor Neural Engineering. See http://compneuro.washington.edu/studies-in-neural-computation-and-engineeri… for a list and for typical application deadlines. Adrienne Fairhall Eric Shea-Brown

1 0

Postdoctoral Research position available immediately
by Avrama Blackwell 16 Oct '17

16 Oct '17

The Computational and Experimental Neuroplasticity laboratory (http://krasnow1.gmu.edu/CENlab/avrama.html) at George Mason University invites applications for a Postdoctoral Research position / software engineer beginning Oct 1, 2017. The successful candidate will contribute to ongoing, cutting-edge research in computational systems biology & neuroscience by further development of our stochastic reaction-diffusion software, NeuroRD and further development of parameter optimization software. CENlab is an interdisciplinary, dynamic and creative research group at Mason’s Krasnow Institute for Advanced Study, located in northern Virginia (15 miles west of Washington, D.C.). The hired applicant is expected to make valuable contributions to computational neuroscience software by (1) design and implementation of new features for NeuroRD (https://github.com/neurord/stochdiff) (2) extension of parameter optimization software (https://github.com/neurord/ajustadore) to signaling molecules and (3) investigating the role of calcium dynamics and cell signaling pathways in learning and plasticity. In each of these projects, the candidate is expected to contribute to publications and presentations on the new software as well as addressing neurobiological questions of interest. The candidate will closely interact with other members of CENlab including model developers and experimentalists. Requirements: Ph.D. in a relevant field (e.g. computer science, physics, bioinformatics, engineering) and at least one publication in reputable journal. Experience in software development (scientific software, python and C++ or JAVA preferred). Expertise with Unix operating systems. Knowledge of stochastic processes and biological processes. To apply, please respond to http://jobs.gmu.edu/postings/41446. Include curriculum vitae and cover letter; indicate whether you will be attending the 2017 SFN conference if you apply prior to Nov 8. Position will be filled as soon as a suitable candidate is found. The successful applicant will have office space, a unix computer workstation, and a post-doctoral level salary supplemented by excellent state employee benefits. More information: * NeuroRD website: https://github.com/neurord * Krasnow Institute for Advanced Study: http://krasnow.gmu.edu * George Mason University: http://www.gmu.edu George Mason University is an innovative, entrepreneurial institution with national distinction in a range of academic fields. Enrollment is 30,000, with students studying in over 150 degree programs at campuses in Arlington, Fairfax, Loudoun and Prince William. George Mason University is an equal opportunity employer encouraging diversity.

1 0

Tenure Track Position in Applied Mathematics at Brandeis
by Jonathan Touboul 14 Oct '17

14 Oct '17

Brandeis University, Department of Mathematics, invites applications for a tenure-track position in applied mathematics at the rank of assistant professor beginning fall 2018. Candidates must have a Ph.D. in mathematics or a related field, demonstrate potential for excellence in research, and display a commitment to teaching. An ideal candidate will be expected to help to build an applied mathematics program within the department, and to interact with other science faculty at Brandeis. Candidates from all areas of applied mathematics will be considered. First consideration will be given to applications received by November 15. Applications should include an AMS cover sheet, a curriculum vitae, research and teaching statements, and four letters of recommendation, one of which addresses teaching effectiveness. Applications should be submitted through MathJobs.org <http://mathjobs.org/>: https://www.mathjobs.org/jobs/jobs/10791 <https://www.mathjobs.org/jobs/jobs/10791>

1 0

Tenure-Track Position at University of Maryland: Neurobiology/Biophysics
by Daniel A. Butts 13 Oct '17

13 Oct '17

The Department of Biology at the University of Maryland, College Park invites applications for a tenure track Assistant Professor in Neuroscience and/or Biophysics. We seek outstanding candidates taking innovative experimental and/or theoretical/computational approaches to address major questions that complement and/or integrate the interests of our sensory neurobiology and biophysics groups. Applicants must have a doctoral degree and should have developed, or have demonstrated the potential to develop, an outstanding research program that garners competitive extramural funding. Postdoctoral experience is preferred. Applicants also must exhibit a commitment to excellence in teaching and mentoring, including working with students and groups from underrepresented backgrounds. The University of Maryland and Department of Biology are committed to increasing the diversity of the campus community. Candidates who have experience working with a diverse range of faculty, staff, and students, and who can contribute to the climate of inclusivity are encouraged to identify their experience in these areas. To Apply: https://ejobs.umd.edu The University of Maryland, College Park is the flagship campus of the University of System of Maryland and is one of the most rapidly advancing public research universities in the country. We have close interactions with the University of Maryland Medical School in Baltimore and our close proximity to Washington D.C. facilitates interactions with researchers at an extraordinary range of institutions (e.g., NIH, NIST, HHMI). The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions. -------------------------------- Daniel A. Butts, Ph.D. Associate Professor Department of Biology and NACS University of Maryland, College Park Biosciences Research Building 1118 (301) 405-9890 http://neurotheory.umd.edu

1 0

NEST Conference 2017 --- Register NOW!
by Hans Ekkehard Plesser 13 Oct '17

13 Oct '17

Dear colleagues! It is a great pleasure to invite current and potential users of NEST, the Neural Simulation Tool (http://www.nest-simulator.org) to the NEST Conference 2017 to be held on 19/20 December 2017 (Tuesday/Wednesday, lunch to lunch) at Haus Overbach in Barmen near Jülich, Germany. After our very successful and stimulating meeting in Karlsruhe last November, we are greatly looking forward to 24 hours filled with presentations and discussions of NEST applications to computational neuroscience and neurorobotics projects and NEST technology development. You are cordially invited to contribute to the program with your contribution! We are grateful to the Human Brain Project Outreach Programme and Education Programme for financial support. Important deadlines: - 1 November 2017: Deadline for submission of contribution and travel grant applications - 15 November 2017: Deadline for registrations For details, contribution submission and registration, please see https://indico-jsc.fz-juelich.de/event/52/overview We are looking forward to seeing you all in December! Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

1 0

Two open faculty positions; U Colorado Medical School
by Zylberberg, Joel L 12 Oct '17

12 Oct '17

Dear Colleagues, The Dept. of Physiology and Biophysics at the University of Colorado Medical School is looking for two new faculty members in neuroscience and / or physiology, including computational neuroscience. The advert is attached. Please consider applying and / or forward this advert to colleagues who might be interested. Thanks for your consideration. Sincerely, __ 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

1 0

Postdoctoral fellowship in the neuroscience of decision-making
by Paul Cisek 11 Oct '17

11 Oct '17

Postdoctoral fellow in the neuroscience of decision-making Department of neuroscience, laboratory of Paul Cisek Applications are invited for a postdoctoral fellowship in cognitive neuroscience, in the laboratory of Paul Cisek at the University of Montréal. Our research group studies the neural mechanisms of decision-making in humans and non-human primates using computational models of the nervous system as well as behavioral experiments, transcranial magnetic stimulation, and multi-electrode recording, and we have several ongoing collaborations involving fMRI, MEG and intracranial EEG. See www.cisek.org/pavel <http://www.cisek.org/pavel> for information on current projects and a list of sample publications. The successful applicant will lead a research project investigating real-time dynamic decision-making through simultaneous multi-electrode recordings in the basal ganglia and the prefrontal, premotor and motor cortex of non-human primates. A Ph.D. in neuroscience or related field is required, and prior experience in neurophysiology and/or computational modeling of neural systems is highly desirable. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop theoretical models of neural mechanisms, prepare manuscripts for publication, and participate in international conferences. For further information, please contact Dr. Paul Cisek (paul.cisek(a)umontreal.ca <mailto:paul.cisek@umontreal.ca> ). Applicants are asked to send a cover letter, curriculum vita, copies of academic transcripts, an optional statement of research interests, and the names and contact information of 2 or 3 references, to: Dr. Paul Cisek Department of neuroscience, University of Montréal C.P. 6128 Succursale Centre-ville Montréal, QC H3C 3J7, CANADA Phone: 514-343-6111 x4355 Web: www.cisek.org/pavel <http://www.cisek.org/pavel> email: paul.cisek(a)umontreal.ca <mailto:paul.cisek@umontreal.ca> Applications will be accepted until the position is filled, but preference will be given to applications received by November 30, 2017. Interviews will be possible at the Society for Neuroscience meeting (Washington DC, November 11-15, 2017)

1 0

Postdoc positions available at University of Pittsburgh
by Runyan, Caroline A. 11 Oct '17

11 Oct '17

Postdoctoral positions are available in the Runyan lab in the Department of Neuroscience at the University of Pittsburgh and the Center for the Neural Basis of Cognition. Our research involves dissecting inhibitory and neuromodulatory circuits across the cortical hierarchy. Our goal is to understand how changes in behavioral context and brain state shift local information processing and the transmission of information between cortical networks. We use two-photon imaging of population activity and optogenetics in head-fixed mice performing perceptual decision-making tasks. See Runyan et al., Nature, 2017 and carolinerunyan.org<http://carolinerunyan.org> for more information about our work. We are seeking individuals with experience in two-photon imaging, large-scale electrophysiology, optogenetics, and/or computational modeling. As we build our laboratory and our own approach to understanding the brain, the ideal candidates should have strongly driven scientific curiosity and problem-solving skills, as well as excellent interpersonal skills. This position offers the opportunity to participate in building a new research program, and to work in the highly collaborative, collegial environment at the University of Pittsburgh and Carnegie Mellon University. See cnbc.cmu.edu and cnup.neurobio.pitt.edu for more details. Interested candidates should send a CV, statement of research interests, and contact information for at least two references to runyan(a)pitt.edu. Caroline Runyan Assistant Professor Department of Neuroscience University of Pittsburgh Office: Langley A453, 412-383-4336 runyan(a)pitt.edu

1 0

Postdoctoral position at the University of Rochester
by Tatiana Pasternak 10 Oct '17

10 Oct '17

Postdoctoral position in cognitive neuroscience Postdoctoral position to study cortical circuitry underlying memory-guided visual decisions is available immediately in the laboratory of Dr. Tatiana Pasternak in the Department of Neuroscience and Center for Visual Science. The focus of the research program is on the activity of large populations of simultaneously recorded neurons across cortical network to identify on a trial-by-trial basis neural codes and network dynamics that underlie memory and comparison processes during perceptual decisions. The analysis will emphasize inter-neuronal and inter-areal interactions and synchrony as well as population decoding algorithms. Experimental approaches include array recording of spiking and LFP activity from prefrontal and extrastriate visual cortical regions of non-human primates during memory-guided sensory comparison tasks. Other approaches include reversible inactivation and microstimulation of identified cortical sites. An important component of the work is a collaboration with computational neuroscientists and developing models aimed at mechanisms underlying maintenance and utilization of visual information in decision-making. Preference will be given to candidates with strong quantitative background with experience in the analysis of physiological data and extracellular recordings. Applicants with strong background in related disciplines of systems neuroscience and/or computer science & engineering are welcome to apply. Experience with MATLAB/PYTHON programming and proficient knowledge of the English language are required. The University of Rochester offers a stimulating research environment and excellent opportunities for interactions and training in cognitive neuroscience and visual science. Interested applicants should send CV and names/contact information of three references to Dr. Pasternak. Please include a cover letter detailing your current research activities, expertise and the reasons for your interest in this position. **************************************** Tatiana Pasternak, Ph.D. Professor Departments of Neuroscience, Brain & Cognitive Science, Biomedical Engineering, and Center for Visual Science University of Rochester 585 275-8668 (office)

1 0

PhD positions at the Max Planck Research School for Neural Circuits, Frankfurt am Main, Germany
by Jochen Triesch 10 Oct '17

10 Oct '17

8th Call for applications: International Max Planck Research School for Neural Circuits, Frankfurt am Main, Germany The International Max Planck Research School (IMPRS) for Neural Circuits was established in 2011 and offers up to ten fully-paid positions every year for talented students holding a relevant Master´s or Bachelor´s as their highest degree to perform research resulting in a PhD. The program is taught in English. The common focus of the the International Max Planck Research School (IMPRS) for Neural Circuits will be the understanding of neural circuits (from the simple to the large and complex), at all scales required to achieve this understanding. This ambitious objective will require analyses at the molecular, cellular, multi-cellular, network and behavioral levels, with the full understanding that macroscopic phenomena (spatial patterns, dynamics) can be scale-dependent, and that reductionism is not always sufficient as a method. Research areas are perception, connectomics, theoretical neuroscience, synaptic plasticity, brain dynamics, neural circuits, behavior and systems neuroscience. In the IMPRS for Neural Circuits we offer a multidisciplinary program to excellent doctoral students with backgrounds in neuroscience, mathematics, physics, computer science, (bio) chemistry, biology and medicine as well as research experience in the participating institutions of the Frankfurt Neuroscience community. Students will participate in a tailor-made educational program including research rotations and neuroscience courses but also in trainings in transferable skills as well as retreats, conferences and summer schools and lecture series. We welcome excellent students to apply to the program. Till December 1, 2017, it will be possible to apply for a position starting in the Fall of 2018. You can apply via our electronic registration system. After the deadline, the Faculty members will select around 25 students to participate in the interview symposium in Frankfurt, taking place in February 5-7, 2018. Shortly after the symposium, the students will receive a letter with an offer or rejection. More information, including Frequently Asked Questions, can be found on our website www.imprs.brain.mpg.de. -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

1 0

2 postdoc positions in Geometric Methods for Deep and Reinforcement Learning at RIST
by Luigi Malagò 09 Oct '17

09 Oct '17

=========================================================== *Subject*: 2 postdoc positions in Machine Learning (1 year, renewable up to 3 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Deep Learning, Reinforcement Learning, Stochastic Optimization, Optimization over Manifolds, Information Geometry, Riemannian Geometry *Application deadline*: 20 October 2017 (applicants are encouraged to apply earlier) *Salary*: around 2190 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc- positions-in-deep-learning-and-machine-learning.html =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for 2 postdoc positions, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 3 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in- deep-learning-and-machine-learning.html Informal inquiries can be sent to Dr. Luigi Malagò <malago(a)rist.ro>, principal investigator of the DeepRiemann project. Application deadline: 20 October 2017 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

1 0

Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli 09 Oct '17

09 Oct '17

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences. A list of relevant faculty, sorted by their primary departmental affiliation, is provided below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Neural Science (CNS) (deadline: 1 December) [http://www.cns.nyu.edu/doctoral/] * AndrÃ© A. Fenton - Molecular, neural, behavioral, and computationalaspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision-making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in CDS) - Computational models of memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition, image processing. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. Neuroscience and Physiology program, School of Medicine (deadline: 1 December) [http://neuroscience.med.nyu.edu/training-programs/graduate-program-neurosci…] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the Simons Foundation) - Neural computation and connectomics. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://www.psych.nyu.edu/programs/cp/] * Todd Gureckis - Memory, learning, and decision processes. * David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention. * Brenden Lake (also in CDS) - Computational modeling of cognition. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Gary Marcus - Origins of the human mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Center for Data Science (CDS) (deadline: 18 December) [https://cds.nyu.edu/academics/phd-in-data-science/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. Mathematics (deadline: 18 December) [http://math.nyu.edu/degree/phd/] * David Cai - Nonlinear stochastic behavior in physical and biological systems. * Aaditya Rangan - Computational neurobiology, numerical analysis. * Michael Shelley - Modeling and large-scale computation, computational visual neuroscience. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Physics (deadline: 18 December) [http://physics.as.nyu.edu/page/graduate] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, hierarchical visual processing, robotics. Economics (deadline: 18 December) [http://as.nyu.edu/econ/degree-programs/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

1 0