- Comp-neuro - lists.cnsorg.org

Post-doctoral scientist position at the Steinmetz Lab, University of Washington, Seattle
by Nick Steinmetz Aug. 6, 2020

Aug. 6, 2020

The Steinmetz Lab at the University of Washington in Seattle ( www.steinmetzlab.net) is seeking applications for a position as a post-doctoral scientist. The scientist will work on data analysis and modeling in order to advance our large-scale electrophysiology technologies and our understanding of distributed computation across the brain. The primary focus of the position is the ‘Neuropixels Ultra’ project, in which we are developing novel electrophysiological technologies in collaboration with colleagues at the Allen Institute for Brain Science and with Johns Hopkins University. In addition to work on that specific project, the scientist will have access to cutting-edge large-scale datasets that combine behavior, electrophysiology, imaging, and optogenetics, and will have the ability to work creatively on questions of their own choosing, including helping to guide novel experimental data collection as necessary. The position is funded for 3 years by an NIH BRAIN Initiative grant, and is eligible to start immediately. It is expected that the scientist will eventually be based in Seattle, but a remote start is negotiable considering health concerns related to the ongoing global pandemic. The successful candidate is expected to have a Ph.D. in neuroscience or in relevant quantitative fields such as physics, computer science, statistics, or mathematics, and is expected to have a strong background and interest in data analysis methods in neuroscience, including such approaches as signal processing, linear algebra, and dynamical systems. We are located at the University of Washington, and have close collaborations with the Computational Neuroscience Center, the Swartz Center for Theoretical Neuroscience, the UW Institute for Neuroengineering, and the Allen Institute for Brain Science, which together create a lively community of computationally-minded neuroscientists on and near campus. The Steinmetz Lab is committed to making neuroscience a more open and inclusive field, so we strongly encourage applications from individuals with non-traditional backgrounds or from underrepresented groups. To apply, please send a CV and a brief statement of your background and interest in the position to Nick Steinmetz at nick.steinmetz(a)gmail.com. Informal inquiries are welcome - please get in touch if you would like more information! We aim to start this position as soon as possible so please be in touch by Friday Aug 21.

1 0

Free online workshop on spiking neural networks as universal function approximators, Aug 31-Sep 1
by Dan Goodman Aug. 6, 2020

Aug. 6, 2020

We are holding a free, online workshop on new approaches to training spiking neural networks. Details and registration at: https://neural-reckoning.github.io/snn_workshop_2020/ The last years have seen many exciting new developments to train spiking neural networks to perform complex information processing. This online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. Speakers: * *Sander Bohte* (CWI) * *Iulia M. Comsa* (Google) * *Franz Scherr* (TUG) * *Emre Neftci* (UC Irvine) * *Timothee Masquelier* (CNRS Toulouse) * *Claudia Clopath* (Imperial College) * *Richard Naud* (U Ottawa) * *Julian Goeltz* (Uni Bern) Please pass this message on to anyone you think would be interested. Many thanks, Dan Goodman and Friedemann Zenke

1 0

Postdoctoral position in neuroscience model curation / reproducible research
by Andrew Davison Aug. 5, 2020

Aug. 5, 2020

A position in neuroscience model curation and verification is available within the Neuroinformatics research group of the Paris-Saclay Institute of Neuroscience, as part of the Human Brain Project. The successful candidate will be responsible for verifying the reproducibility of models produced by the Human Brain Project and/or published through the EBRAINS research infrastructure. This will involve working with scientists from many institutions to ensure their code is usable by others, and that it reliably reproduces the results shown in associated publications. It is expected that the candidate will develop workflows to automate this verification process as much as possible. Applicants should have a PhD in neuroscience, computer science, library/information science, or a closely related discipline, preferably with experience of computational modelling. Experience of simulation tools often used in computational neuroscience, such as NEURON, NEST or Brian, would be of particular benefit; knowledge of computer programming (in Python, C++, MATLAB or other) is essential. Knowledge of French would be helpful but is not required, as English is the working language of the project. The Paris-Saclay Institute of Neuroscience (https://neuropsi.cnrs.fr/en/institute-home/) is a research unit of the CNRS and the Université Paris-Saclay, located in Gif sur Yvette, about 40 minutes from central Paris. The Neuroinformatics research group (https://neuropsi.cnrs.fr/en/icn-home/andrew-davison/ <https://neuropsi.cnrs.fr/en/icn-home/andrew-davison/>) develops novel informatics tools and approaches for neuroscience data sharing, modelling and simulation, and for brain-inspired computing. This post is funded by the Human Brain Project, an EU Flagship initiative in which over 100 partners work together to build a completely new information computing technology infrastructure for neuroscience and for brain-related research in medicine and computing. To apply, visit https://emploi.cnrs.fr/Offres/CDD/UMR9197-ANDDAV-005/Default.aspx <https://emploi.cnrs.fr/Offres/CDD/UMR9197-ANDDAV-005/Default.aspx> Informal inquiries to andrew.davison(a)cnrs.fr <mailto:andrew.davison@cnrs.fr> are welcome. Application deadline 17th August 2020

1 0

Postdoctoral, predoctoral, and data scientist positions: causal inference
by Jan Drugowitsch Aug. 5, 2020

Aug. 5, 2020

How do our brains interpret sensory inputs to determine how we move through the world? How do the objects we perceive in the environment shape these interpretations? And what happens when these objects are themselves moving? We will address these questions in a multi-institution project that examines neural and computation mechanisms of causal inference in the context of interactions between perception of object motion, self-motion, and depth. We are looking for talented and creative scientists to join our effort. We are offering multiple positions for postdoctoral fellows, graduate research assistants, and a data scientist as part of a BRAIN Initiative U19 project focused on the neural mechanisms of causal inference. This multi-institution project involves experimental and computational/theoretical laboratories at the University of Rochester (Drs. Greg DeAngelis and Ralf Haefner), Harvard Medical School (Dr. Jan Drugowitsch), New York University (Dr. Dora Angelaki), Baylor College of Medicine / Rice University (Dr. Xaq Pitkow), and the University of Washington (Dr. Greg Horwitz). The project is highly collaborative and interactive, involving high-density electrophysiological recordings in both macaque monkeys and mice, optogenetic manipulations in monkeys, development of novel dynamical theoretical frameworks, application of high-dimensional neural analyses, and establishment of a data analysis and storage platform across laboratories. For the theoretical/computational efforts, candidates are expected to have a background in a quantitative field like computational neuroscience, machine learning, reinforcement learning, statistics, physics, etc.. For the experimental efforts, candidates are expected to have a background in neuroscience, experimental psychology, biomedical engineering, or a related field, and previous research experience in systems neuroscience is highly beneficial. Successful candidates will work primarily at one of the participating institutions but will collaborate broadly with team members across institutions. Candidates should submit their CV, a statement of research interests, and the names and contact information for three references. Please consult https://www.indeed.com/job/postdoctoral-predoctoral-and-data-scientist-posi… for further details, and for how to apply.

1 0

Postdoctoral positions in computational neuroscience, sleep, and developmental neurophysiology
by Blumberg, Mark S Aug. 4, 2020

Aug. 4, 2020

We are seeking to fill multiple positions for highly skilled and motivated postdoctoral scholars. Successful applicants will learn to perform experiments in neurophysiology and sleep, as well as develop computational models based on years of spike and LFP data collected in infant rats and, more recently, human infants. We have developed state-of-the-art multisite recording methods to detect neural activity in cortex, hippocampus, thalamus, cerebellum, and brainstem in developing rats and relate that activity to changes in sleep-wake states and limb movements (captured using high-speed video and tracked using DeepLabCut). Unique opportunities abound for analyzing and modeling these complex datasets to reveal functional changes in neural activity across the first several postnatal weeks. Among other things, we are investigating the integration of corollary discharge and reafferent signals, the role of state-dependent neuromodulation, and the contributions of neural oscillations to the emergence of functionally connected brain regions. Please visit the lab’s homepage<https://psychology.uiowa.edu/blumberg-lab> and read our recent papers<https://psychology.uiowa.edu/blumberg-lab/articles> to gain a better sense of the kinds of questions we ask and the methods we use to answer them. You can learn more about the PI, Mark Blumberg, here<https://psychology.uiowa.edu/sites/psychology.uiowa.edu/files/groups/blumbe…> and here<https://psychology.uiowa.edu/sites/psychology.uiowa.edu/files/groups/blumbe…>. The laboratory is located in the Department of Psychological and Brain Sciences<https://psychology.uiowa.edu/> at the University of Iowa<https://uiowa.edu/>, a leading public university. The university is located in Iowa City, a midsize community with a high quality of life. The department is experiencing a period of enhanced growth and investment, including completion of a new building<https://psychology.uiowa.edu/new-home-department-psychological-and-brain-sc…>. In addition, the University of Iowa is home to a large and vibrant neuroscience community, highlighted by the Iowa Neuroscience Institute<https://medicine.uiowa.edu/iowaneuroscience/> that brings together over 100 neuroscientists across 26 departments. In addition to research opportunities, successful applicants will have opportunities to teach courses, mentor graduate and undergraduate students, write grants, and engage in activities to enhance professional development and prepare for an academic career. Salary is negotiable, but is expected to be above NIH's minimum guidelines for postdocs. Requirements: A PhD with experience in computational and/or behavioral neuroscience. Experience with MATLAB (or other programming languages) is required. Please send a letter of interest, curriculum vitae, and selected publications to Mark Blumberg at mark-blumberg(a)uiowa.edu<mailto:mark-blumberg@uiowa.edu>. _________________________________ Mark S. Blumberg, Ph.D. F. Wendell Miller Professor Department Chair Psychological & Brain Sciences Iowa Neuroscience Institute The University of Iowa _________________________________

1 0

Submit Now - Call for Research Projects | Bitbrain
by Eduardo López-Larraz Aug. 4, 2020

Aug. 4, 2020

Call for Research Projects Bitbrain grants up to 150K€ of equipment for Research Projects in the areas of human behavior and brain-computer interfaces. Aim of the Call This year has been unexpectedly complicated for all of us. We have had an ongoing threat to public health with a strong impact on economic activity in every country and organization. Scientific endeavors have been delayed in most research fields, and many research conferences and symposiums have been delayed or canceled. The aim of this call is to catalyze and mobilize research in human behavior and brain-computer interfaces during this difficult time, by supporting outstanding research projects for 2 years of duration starting in 2021. This is our way of giving back to the scientific community and helping research projects start-up in the wake of COVID 19. Bitbrain's mission is to boost real-world research and real-life applications that enhance people's lives. For this reason, we particularly welcome project proposals from academia or research institutions that are exploring neuroscience research in real-world settings. The deadline for submissions is September 21st, 2020. More info here: https://www.bitbrain.com/call-for-projects-2020 <https://urldefense.com/v3/__https://www.bitbrain.com/call-for-projects-2020…> The Awards This initiative awards projects with up to a total of 150K€ in Bitbrain equipment plus software licenses. Bitbrain systems are specifically designed to facilitate research in real-world settings and include high-tech EEG brain sensing devices and 35+ complementary monitoring technologies, as well as human behavior research software solutions for synchronized multimodal data acquisition and analysis. Call topics 1. Topic 1: Human Behavior Research: We are looking for projects that expand the understanding of human behavior using multimodal approaches, preferably in ecological and natural conditions. The research includes, but is not limited to, cognitive sciences, clinical research, education, developmental psychology, human performance, UX or human factors, neuroeconomics, hyperscanning, neuroaesthetics, etc. Awards: According to the research needs of the project, the award may include the following: 1) Hardware: dry/semi-dry EEG systems in combination with a wide range of biosensors (GSR, BVP, ExG, etc) specifically developed to carry out real-world research, while favoring signal quality, usability, set up time, and user comfort. 2) Software: SDK for real-time I/O and third-party data processing (LSL, Matlab, Python, BCI200, etc); SennsLab software for synchronized data collection of 35+ types of biosensors and other research modalities including eye-tracking, cameras, microphones, etc, and other 3rd party options such as E-prime; SennsMetrics software for computation and data analysis of behavioral metrics. 1. Topic 2: Brain-Computer Interfaces (BCI): We are looking for projects that expand the introduction or usage of brain-computer interfaces in ecological and natural conditions. Research project proposals should focus on the application of brain-computer interfaces in real-world scenarios, in areas such as immersive environments, neurorehabilitation, neuroadaptive technologies, hyperscanning, neuroprosthetics, etc. Awards: According to the research needs of the project, the award may include the following: 1) Hardware: Mobile EEG systems for brain-computer interfaces including dry-EEG devices and semi-dry EEG systems (8, 16, 32 and 64ch), with a very quick and easy setup and comfortable interface. 2) Software: programming tools with great compatibility with real-time I/O and third-party data processing (LSL, Matlab, Python, BCI2000, OpenVibe, etc). Jury 1. Alan Kingstone, Ph.D. <https://psych.ubc.ca/profile/alan-kingstone/>, Professor, Department of Psychology, University of British Columbia. Canada. 2. Ander Ramos, Ph.D. <https://www.ramoslab.org/>, Head of the Neurorehabilitation Lab. University of Tübingen. Germany. 3. Dima Amso, Ph.D. <https://www.brown.edu/academics/cognitive-linguistic-psychological-sciences…>, Professor, Department of Psychology at Columbia University. USA. 4. Gernot Müller-Putz, Ph.D. <https://www.tugraz.at/institutes/ine/people/gernot-mueller-putz/>, Professor and Head of the Institute of Neural Engineering. Graz University of Technology. Austria. 5. Marco Congedo, Ph.D. <https://www.gipsa-lab.grenoble-inp.fr/page_pro.php?vid=518>, Charge de Research (CNRS), France. 6. Tad Brunye, Ph.D <https://ase.tufts.edu/psychology/spacelab/members.htm>., Visiting Associate Professor, Department of Psychology, Tufts University; Senior Research Psychologist, Army Natick Soldier Research, Development, and Engineering Center, USA. 7. Tiago Falk, Ph.D. <http://musaelab.ca/team-view/prof-tiago-h-falk/>, Associate Professor and Multimedia/Multimodal Signal Analysis and Enhancement (MuSAE) Laboratory. University of Toronto. Canada. Important Dates - Submission of applications: 21st September - Communication of the awards: 6th October - Contracts: 12th October - Equipment delivering: 20th December - Kick-off Meetings: 11th January More info here: https://www.bitbrain.com/call-for-projects-2020 <https://urldefense.com/v3/__https://www.bitbrain.com/call-for-projects-2020…>

1 0

Bernstein Conference 2020 – registration now open
by a.dorrn＠fz-juelich.de Aug. 4, 2020

Aug. 4, 2020

Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. This year’s Bernstein Conference will take place September 29 - October 1, 2020 and will be held entirely online for the first time. It will be followed by the online Bernstein PhD Symposium on October 2, 2020. www.bernstein-conference.de<https://bit.ly/BC_online> ____ NEWS · Registration is now open: bit.ly/BC20_Registration<https://bit.ly/BC20_Registration> · Participation will be free of charge · Abstract submission deadline is approaching on August 21 Please find more information here: bit.ly/BC20abstracts<https://bit.ly/BC20abstracts> · Program for online Bernstein PhD symposium is now online: bit.ly/bc20_phd<https://bit.ly/bc20_phd> ____ INVITED SPEAKERS William Bialek (Princeton University, USA) Michael Brecht (Humboldt Universität zu Berlin, Germany) Laura Busse (LMU Munich, Germany) Megan Carey (Champalimaud Center for the Unknown, Lisbon, Portugal) Rosa Cossart (Institut de neurobiologie de la méditerrané, Marseille, France) Ann Hermundstad (Janelia Research Campus, Ashburn, USA) Roozbeh Kiani (New York University, New York City, USA) Vanessa Ruta (The Rockefeller University, New York City, USA) David Sussillo (Google AI, Mountain View, USA) Srdjan Ostojic (L'école normale supérieure, Paris, France) Fred Wolf (Max-Planck Institute for Dynamics and Self-Organization, Göttingen, Germany) ____ CONFERENCE COMMITTEE Udo Ernst (Conference Chair) Elad Schneidmann (Program Chair) Julijana Gjiorgjieva (Program Vice Chair) Tim Vogels (Workshop Chair) Marion Silies (Workshop Vice Chair) Henning Sprekeler (Conference Host) Danielle Bassett, Matthew Botvinick, Peter Dayan, Alain Destexhe, Tim Gollisch, Stephanie Palmer, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

1 0

3- or 4-yearpostdoc position available for analysis of large neural data
by Benjamin Dunn Aug. 3, 2020

Aug. 3, 2020

Funded by the Norwegian Research Council, the available position is part of a collaborative project on personalized rehabilitation of stroke patients evaluated with multimodal quantitative tools (PROTEQT). The selected candidate can start as early as October 1st, 2020. She or he will be part of a research group focused on neural data science at the Department of Mathematics at NTNU. We have a wonderful group and surrounding community. Norway is lovely (especially now). This position is for the development of methods to analyze neural data -- in particular, to compare across subjects and describe changes as the underlying network develops (e.g. during recovery from a stroke). The main datasets are multimodal MRI, to be analyzed in collaboration with another postdoc and PhD student. There is also other data around and plenty of room for theoretical work. Email me at benjamin.dunn(a)ntnu.no if you have any questions. Please apply here: https://jobbnorge.no/en/available-jobs/job/190466/postdoctoral-fellowship-i… Note the deadline: August 20th Here are some publications: https://scholar.google.com/citations?user=hAjFjXkAAAAJ&hl=en And an example of something we are working on: https://youtu.be/Hlzqvde3h0M Thanks, Ben

1 0

postdoc position in systems neuroscience: translational project to study sleep and memory
by Carmen Varela Aug. 3, 2020

Aug. 3, 2020

*We are opening a postdoctoral position to investigate non-invasive approaches to enhance sleep oscillations and memory function in rats. *This translational project is part of a collaboration between the laboratories of Dr. Carmen Varela (Psychology Department, Florida Atlantic University, FAU; https://www.varelalab.org/) and Dr. Dara Manoach (Massachusetts General Hospital-Harvard Medical School). The project will be conducted at FAU and it will involve frequent interaction with collaborators in Boston. The postdoc will gain expertise in systems and translational neuroscience using electrophysiology (cell ensemble and LFP recording with high-density probes) and behavior in rodents, as well as expertise on the mechanisms underlying normal and disrupted sleep-dependent memory consolidation processes and the use of non-invasive technologies to regulate them. *Requirements:* PhD with experience in electrophysiology and rodent models; outstanding interpersonal skills and motivation to work in a collaborative environment. Experience with MATLAB (or other programming languages) preferred. Candidates selected for an interview will be asked to provide contact information for three references. *Anticipated start day in January 2021. * One year with possibility of extension. Interested applicants, please submit your curriculum to Carmen Varela: varelac(a)fau.edu FAU is an equal opportunity/affirmative action institution and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veterans’ status or any other characteristic protected by law. Best, *Carmen Varela, Ph.D.* Assistant Professor Psychology Department Florida Atlantic University MC-19, room 106 Jupiter, FL 33458

1 0

DeepMath 2020: call for abstracts
by Kamesh Krishnamurthy July 30, 2020

July 30, 2020

Dear all, We are now accepting abstract submissions to the 2020 Conference on the mathematical theory of deep neural networks (DeepMath). DeepMath is a highly interdisciplinary conference focused on understand fundamental theory driving the empirical success of Deep Learning. We are excited for this year's diverse set of invited speakers (see https://deepmath-conference.com for more information) and invite additional contributions from the community. Due to ongoing concerns about Covid-19, this year’s DeepMath conference will be conducted virtually. We are presently working on finalizing an online format that will seek to capture the small, community-focused experience of past DeepMath events. Important updates related to submission and registration are included below: == Submissions == We are still accepting submissions for virtual “posters” consisting of a pre-recorded talk and Q&A session. Similarly to last year, a selected number of top posters will be invited to present their work live as contributed talks. == Registration == Participation in the conference will require registration costing a nominal fee. We are working to keep costs as low as we can given the online nature of the event. As with last year, all talks will be live-streamed for free. More information on submissions can be found at the DeepMath website at https://deepmath-conference.com/submissions Warmest regards, The DeepMath Organizing Committee

1 0