- Comp-neuro - lists.cnsorg.org

Software Developer / Research Associate

by Stephanie Jones

Applications are invited for a research software developer / research associate position in the lab of Dr. Stephanie Jones at Brown University in Providence, RI. The level of the hire depends on experience. Our group combines human electrophysiological recordings and computational neural modeling techniques to study the mechanisms and meaning of brain dynamics in health and disease. We collaborate extensively with animal electrophysiologists and clinicians to develop data constrained models that are translationally relevant. The software developer / research associate will work with a team of researchers at Brown, Mass General Hospital, and Yale, to help develop a new software tool for circuit level investigation of human magneto- and electro-encephalography (MEG/EEG) signals: Human Neocortical Neurosolver, HNN (https://hnn.brown.edu) <https://hnn.brown.edu)>. The goal of this software is to provide the community with a user friendly tool to develop and test hypotheses on the circuit origin of their data. The hired candidate will help support and expand HNN’s capabilities, including software development and working with researchers to apply HNN to specific neuroscience questions. Duties will also include development of tutorials, online resources, and participation in workshops aimed at training the community in the use and applicability of HNN. Candidates should have a Bachelor’s, Master’s, or PhD in computer science, neuroscience, biomedical engineering, and/or related field. Strong Python programming skills are required, and experience with neural modeling, particularly NEURON, is preferred. Familiarity with MEG/EEG analysis methods and/or non-invasive brain stimulation is also beneficial. Candidates should be able to work in a dynamic, interdisciplinary, and fun work environment. Interested candidates should send a cv and a brief description of qualifications and research interests to the Jones lab manager Dylan_S_Daniels(a)brown.edu <mailto:Dylan_S_Daniels@brown.edu>. ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

Sept. 24, 2018

Postdoctoral researchers - computational modeling, EEG, TMS

by Stephanie Jones

Applications are invited for a postdoctoral position in the lab of Dr. Stephanie Jones at Brown University in Providence RI. Our group combines human electrophysiological recordings and computational neural modeling techniques to study the mechanisms and meaning of brain dynamics in health in disease. We collaborate extensively with animal electrophysiologists and clinicians to develop data constrained models that are translationally relevant. We are expanding our research efforts to including non-invasive brain stimulation. A postdoctoral position is available to integrate simultaneous human EEG and transcranial magnetic stimulation (TMS) in humans, with computational neural modeling developments. The postdoctoral researcher will help expand our new software tool Human Neocortical Neurosolver (https://hnn.brown.edu) <https://hnn.brown.edu)/> for circuit level interpretation of EEG/MEG signals to include TMS studies. She/he will also help with the design, implementation and analysis of our TMS/EEG experiments. Candidates should have a PhD in neuroscience, computational neuroscience, computer science, applied mathematics, biomedical engineering, and/or related field. Strong quantitative and programming skills are required. The ideal candidate would have experience in computational neuroscience methods applied to human EEG and brain stimulation data. However, experience in all areas is not required. Candidates should be able to work in a dynamic, interdisciplinary and fun work environment. Interested candidates should send a cv and a brief description of qualifications and research interests to the Jones lab manager Dylan_S_Daniels(a)brown.edu <mailto:Dylan_S_Daniels@brown.edu>. ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

Sept. 24, 2018

Workshop: High Performance Computing in Neuroscience

by Carnevale, Nicholas

Does your research involve computationally intensive tasks such as large scale modeling or data analysis? Come to the workshop on High Performance Computing Resources for Parallel Simulations and Data Analysis: NSG and HPAC to share your experience with others who are dealing with similar challenges, and learn about resources that are currently available and/or being developed that may help accelerate your own research. This workshop will be held on Saturday, Nov. 3 from 8:30 AM to 12:30 PM at a location in downtown San Diego. Space is limited, and the registration deadline is Friday, Oct. 12, so you should act early. For the on-line registration form see https://neuron.yale.edu/neuron/static/courses/nsg2018/nsg2018.html The workshop will include a combination of short presentations and discussions. Confirmed speakers and topics include: "The Neuroscience Gateway" Amit Majumdar, Subhashini Sivagnanam, Kenneth Yoshimoto, Ted Carnevale "Research Activities at the Human Brain Project's High Performance Analytics and Computing Platform" Alexander Peyser "Human Neocortical Neurosolver: A New Modeling Platform for Cellular and Circuit Level Interpretation of EEG/MEG" Samuel A Neymotin, Dylan S Daniels, Noam Peled, Robert A McDougal, Ted Carnevale, Christopher I Moore, Michael L Hines, Matti Hamalainen, Stephanie R Jones "Towards a Complete Description of the Hippocampal Circuitry Underlying Sharp Wave-Mediated Memory Replay" Ivan Soltesz "Neuroanatomical models beyond the spatial resolution of MRI require HPC: The Big Brain and fiber tracts" Karl Zilles, Nicola Palomero-Gallagher and Katrin Amunts "The Virtual Brain: personalized large-scale brain network modeling and its applications" Viktor Jirsa

Sept. 24, 2018

Postdoc position in Geometric Methods for Machine Learning and Deep Learning at RIST

by Luigi Malagò

=========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Geometry of Latent Spaces, Optimization over Manifolds, Information Geometry, Natural Gradient, Riemannian Geometry *Application deadline*: 10 October 2018 (applicants are encouraged to apply earlier) *Salary*: around 2200 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machi… =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, 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 2 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 https://rist.ro/en/teams.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, using geometric methods based on Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machi… Informal inquiries can be sent to Dr. Luigi Malagò <malago(a)rist.ro>, principal investigator of the DeepRiemann project. Application deadline: 10 October 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

Sept. 24, 2018

Neuro-Inspired Computational Elements (NICE) 2019 Abstract Submission Open!

by Aimone, James Bradley

Dear Colleagues: The call for abstracts for NICE 2019 is open for submissions at https://easychair.org/cfp/NICE2019 As with past NICE workshops, we are seeking submissions describing advances at the intersection of theoretical neuroscience, neural computing hardware and algorithms, and applications of this brain-inspired computing technology. Preference will be given to unpublished results that bridge our community. For agendas and videos of talks from past meetings, please see http://niceworkshop.org Submissions are 2 page extended abstracts, which will be reviewed to select full and short talks, as well as posters. New for NICE this year we are looking at potential options for proceedings papers, to be invited from the top submissions this year. Abstracts are due on November 15th. Registration will open in a few weeks. ---------------- NICE 2019 will be taking place during March 26-29, 2019 in Albany CNSE Campus in Albany, NY Important dates: Abstract call: September 15, 2018 Abstract submission open: September 22, 2018 Abstracts due: November 15, 2018 Selection announcement: January 15, 2019 ----------------- Hope to see you in Albany! Brad Aimone NICE Program Chair -------------------------- James Bradley Aimone, Ph.D. Principal Member of Technical Staff Data-driven and Neural Computing Department Center for Computing Research Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728 http://neuroscience.sandia.gov

Sept. 24, 2018

BrainScaleS, SpiNNaker and NES: EITN workshop 'Are we building the right user-level documentation?'

by Martina Reske

Dear users of BrainScaleS, SpiNNaker and NEST, Documentation is where we provide guidance for our users to successfully navigate, understand and use our software. But how do we ensure that the documentation we provide is achieving this goal? We want to hear from you! This EITN workshop 'Are we building the right user-level documentation?' is an opportunity for users to help steer documentation in the right direction and for us to better understand the needs of our communities. Join us November 21 to November 22 in Paris, France. Registration is now open! See program details and register at https://eitnconf-211118.sciencesconf.org/ -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> Office hours: TU & FR 9.00-17, WE & TH 9.00-13 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

Sept. 24, 2018

Assistant Professor positions at Keele University

by Peter Andras

Two Assistant Professor (UK Lecturer) positions in Computer Science *Keele University *- Faculty of Natural Sciences - School of Computing and Mathematics *Closing date for applications: 21st October 2018* Keele University is renowned for its exciting approach to higher education, innovative research, beautiful campus, strong community spirit and excellent student experience. With a turnover in excess of £150 million, over 10,000 students and a total staff of approximately 2000, the University provides high quality teaching across a wide range of academic and vocational subjects and promotes world-class research. The University hosts the largest UK Smart Energy Network Demonstrator (SEND) with an associated Centre for Doctoral Training based in the School of Computing and Mathematics. Applications are welcome from dynamic and enthusiastic individuals committed to high quality teaching and research in any relevant field of Computer Science (e.g. software engineering, evolutionary systems, security, human-computer interaction, biological computation, machine learning, formal methods, distributed systems, smart energy, high-performance computing – but not restricted to these particular fields). Applicants will have interests that complement our existing research strengths while broadening the scope of our teaching expertise. The Assistant Professor (UK Lecturer) posts are part of continued growth and expansion of Computer Science at Keele, which presents many new opportunities for the development of synergies in both teaching and research. Candidates will be expected to develop an active research programme that both complements and extends our existing research profile in Computer Science. Candidates are also expected to develop research collaborations with colleagues at Keele and elsewhere in strategic research areas of the University, such as smart energy, AI, big data or digital health. Details of the research carried out in Computer Science at Keele can be found at: http://www.keele.ac.uk/scm/research/compsci/ The successful candidates will have a PhD in an appropriate area of Computer Science (or be very close to completion of his/her PhD) and will have a strong commitment to delivering high quality undergraduate teaching, including supervision of undergraduate and postgraduate research projects and the development and delivery of new modules. The post-holders will have the skills, enthusiasm and flexibility for teaching across a wide range of computer science topics and will also contribute to recruitment activities and administrative duties within our Computer Science programmes. Informal enquires can be made to Professor Peter Andras on 01782 733412 or p.andras(a)keele.ac.uk Keele University is committed to the principles of the Athena SWAN charter, and values equality and diversity across our workforce. We strive to ensure that our workforce is representative of broader society, and therefore, we would actively welcome applications from women for this role. Keele University values equality and diversity across our workforce and to ensuring our staff community is reflective of the diversity of our student population. In support of these commitments the University welcomes applications from individuals of Black, Asian and ethnic minority backgrounds for *all* roles. *For full post details please visit: www.keele.ac.uk/vacancies <http://www.keele.ac.uk/vacancies>* *Keele University employees wishing to apply should login to Employee Self Service and click on the 'View current vacancies' link.* *Closing date for applications: 21st October 2018* *Interviews will be held on: 16th November 2018* *Post reference: KU00000898*

Sept. 23, 2018

New, introductory, tutorial-based textbook

by Paul Miller

Hi, Particularly if you teach introductory classes or mentor students with limited math/computational background, you may be interested in a new textbook "An Introductory Course in Computational Neuroscience" (http://mitpress.mit.edu/books/introductory-course-computational-neuroscience) The textbook contains numerous computer tutorials, with selected solutions, as well as over 100 codes used to simulate figures, all available online at https://github.com/primon23/Intro-Comp-Neuro or http://people.brandeis.edu/~pmiller/TEXTBOOK/ I hope you find it useful, Paul

Sept. 21, 2018

COSYNE 2019: Meeting announcement and Call for workshop proposals

by Tomas Hromadka

==================================================== Computational and Systems Neuroscience 2019 (Cosyne) MAIN MEETING 28 February - 03 March 2019 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2019 Cascais, Portugal www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- 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. IMPORTANT DATES Abstract submission opens: 09 October 2018 Abstract submission deadline: 15 November 2018 Workshop pre-proposal deadline: 30 September 2018 Workshop proposal deadline: 31 October 2018 COSYNE SPEAKERS Bruno Averbeck (NIMH) Gwyneth Card (Janelia) Kathleen Cullen (John Hopkins) Kenji Doya (OIST) Ken Harris (UCL) Sonja Hofer (Sainsbury Wellcome Centre) Yann LeCun (NYU) Edvard Moser (NTNU) Yiota Poirazi (IMBB-FORTH) Maneesh Sahani (Gatsby-UCL) Eric Shea-Brown (U Washington) Sara Solla (Northwestern) Karel Svoboda (Janelia) Ilana Witten (Princeton) When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Program Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Workshop Chairs: Catherine Hartley (NYU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) 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 ----------------------------------------------------------------------- PRE-PROPOSAL DEADLINE: 30 September 2018 FULL PROPOSAL DEADLINE: 31 October 2018 PRE-PROPOSALS In an effort to coordinate submissions, the organizers are encouraged to submit a pre-proposal by *30 September 2018.* Pre-proposals will be shared among submitters. Pre-proposals are not mandatory, but are strongly encouraged. The organizers may submit the full proposal by its deadline. 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 Cascais, a coastal village ~34 km west of Lisbon. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS Submission instructions for workshop (pre)-proposals are available at Cosyne.org -> Workshops. PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). The first author on the list becomes the contact author for the proposal. - 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, affiliations, and expected topics of talks of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - A brief summary of relevant prior experiences and publications of the organizers (about half a page total). - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. FULL PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. 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. When preparing pre-proposals and full proposals, the organizers are encouraged to: - address timeliness of workshop in the proposal: what new insights have been generated (new papers, data, techniques, whatever) over the past few years that make now the right time for discussing them and for presenting them to the wider community? - directly describe how speakers address the central topic, e.g. which are the big question(s), which speakers represent different viewpoints on the same question, which experimentalist addresses the theories addressed by which theoretician (and vice versa); - address controversies and bring together speakers from different “camps” in the same field, or from different fields that---according to the organizers---should talk more to each other for whatever reason; 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 expected 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 2019 WORKSHOP CHAIRS Catherine Hartley (NYU) and Ralf Haefner (University of Rochester) QUESTIONS email: 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.

Sept. 20, 2018

LACONEU 2019 - last days to apply

by Patricio Orio

DEADLINE EXTENDED TO SEPTEMBER 30th!! Only few more days to apply! ----------------------------------------------------------------------- We have the pleasure to invite Graduate and Undergraduate students to participate in: ----------------------------------------------------------------------- LACONEU 2019 V Latin American Summer School in Computational Neuroscience Special Topic: Complex Systems and Network Connectivity January 7-25th, 2019 Valparaíso - CHILE http://www.laconeu.cl ----------------------------------------------------------------------- The principal aims of LACONEU 2019 Summer School are to disseminate and to develop Computational Neuroscience in Latin America, gathering researchers and students with common interests in the beautiful and historical city of Valparaiso, in Chile. LACONEU 2019 expects to foster a collaborative exchange between the attendees, researchers and students, based on fundamental theoretical and practical knowledge, and thus, to help the establishment of strong, long-term collaborations. This version also includes a WORKSHOP on January 16th, 2019 CONFIRMED SPEAKERS: - Demian Battaglia, Theoretical Neuroscience Group, INS, France - Joana Cabral, University of Oxford, UK - Bruno Cessac, INRIA Sophia-Antipolis, France - Dante Chialvo, Universidad Nacional de San Martín, Argentina - Rodrigo Cofré, Universidad de Valparaíso, Chile - Mauro Copelli, Federal University of Pernambuco, Brazil - Maxime Descoteaux, Université de Sherbrook, Canada - Wael El-Deredy, Universidad de Valparaíso, Chile - Pamela Guevara, Universidad de Concepción, Chile - María-José Escobar, Universidad Técnica Federico Santa María, Valparaíso, Chile - Henrik Jensen, Imperial College London, UK - Thierry Mora, École Normale Superiéure, France - Patricio Orio, Universidad de Valparaíso, Chile - Adrián Palacios, Universidad de Valparaíso, Chile - Tomás Pérez Acle, Fundación Ciencia y Vida, Chile - Peter Robinson, The University of Sydney, Australia - Fernando Rosas, Imperial College London, UK - Inés Samengo, Centro Atómico Bariloche e Instituto Balseiro, Argentina IMPORTANT DATES - Call for Applications: June 8th, 2018 - Application submission deadline: September 30th, 2018 (visit the webpage to see the details) - Acceptance notification: October 31st, 2018 TRAVEL GRANTS ARE AVAILABLE FOR LATIN AMERICAN STUDENTS Looking forward to see you in January! *Prof. Patricio Orio* Centro Interdisciplinario de Neurociencias de Valparaíso *CINV* Facultad de Ciencias, *Universidad de Valparaíso, Chile* +56 32 299 5538 / 32 250 8040

Sept. 20, 2018