January 2023 - Comp-neuro - lists.cnsorg.org

Postdoc position with Priebe/Seidemann/Taillefumier labs at University of Texas, Austin

by Taillefumier, Thibaud O

The Departments of Neuroscience, Mathematics, and Psychology at UT Austin are inviting applications for a postdoctoral research position to work with Professors Nicholas Priebe, Eyal Seidemann and Thibaud Taillefumier. The position is funded by an NIH grant shared by the Priebe, Seidemann and Taillefumier labs. The grant focuses on explaining the origin and putative roles of the neural variability recorded in visual cortex during behavior. A significant component of the proposed work will consist of modeling and statistical analysis of simultaneous recordings of single-cell membrane potential and extracellular neural populations during a variety of behavioral tasks. Competitive candidates include those with a strong computational and data science skills and proven experience in the analysis of behavior and neural signals. Applicants should have a PhD in computational neuroscience, system neuroscience, machine learning, or related quantitative fields. Applicants should submit a curriculum vitae, a list of publications, a brief description of research interests, and should arrange for two or three letters of recommendation to be sent. All application materials as well as any inquiries should be sent to Thibaud Taillefumier (thibaud(a)utexas.edu<mailto:thibaud@utexas.edu>), Eyal Seidemann (eyal(a)austin.utexas.edu<mailto:eyal@austin.utexas.edu>), or Nicholas Priebe (nico(a)austin.utexas.edu<mailto:nico@austin.utexas.edu>). The successful candidate will join a highly dynamic collaborative environment across the departments of Neuroscience, Mathematics, and Psychology and within the Center for Computational and Theoretical Neuroscience, all at UT Austin. Within this environment, the collaboration between the Priebe, Seidemann and Taillefumier research groups combines experimental, computational, and theoretical approaches to understand the neural basis for vision processing in the brain. UT Austin is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

Jan. 10, 2023

Postdoc/PhD opening in information processing and criticality in neural networks

by Fabrizio LOMBARDI

We are recruiting a talented postdoctoral researcher or PhD student to participate in the project BRAINCIP, “Brain-wide criticality and Information processing”. The project lies at the interface of physics and neuroscience, and aims to test key assumptions of the critical brain hypothesis by investigating in vivo the role of brain-wide critical neural dynamics in information processing and complex brain functions in the Zebrafish. To this end, state-of-the-art experimental techniques to follow and finely perturb brain dynamics will be combined with theoretical and computational approaches to large scale data analysis and modeling. The ideal candidate will have a quantitative background—e.g. PhD/Master in mathematics, physics, computer science—, and strong programming skills (e.g., Python, C/C++, Matlab), along with (preferable but not mandatory) experience in applying this background to neuroscience. Experience with data analysis is a plus, but it is not mandatory. The post doc will join the Department of Biomedical Sciences and the Padova Neuroscience Center and live in highly active and stimulating interdisciplinary environment at the University of Padova, one of the most prestigious universities in Italy. The position is open immediately with primary location in Padova, a nice small university town near Venice. Ideally, the starting date is between February-June 2023. Interested candidates should contact Dr. Fabrizio Lombardi (fabrizio.lombardi(a)ist.ac.at<mailto:fabrizio.lombardi@ist.ac.at>) and Prof. Marco Dal Maschio (marco.dalmaschio(a)unipd.it<mailto:marco.dalmaschio@unipd.it>). Please include BRAINCIP and the position you are applying for (PhD or Postdoc) in the email subject.

Jan. 10, 2023

Call for applications for training and mentoring cohort in open science (OLS-7) [corrected]

by Mayya Sundukova

Dear Comp-Neuro colleagues, The OLS-7 program run by Open Life Science is open for applications. Open Life Science is a non-profit organisation, registered in UK and providing structured global training, consulting and mentoring and community of practice. *Purpose*: Training for early stage researchers and young leaders interested in furthering their Open Science skills. Not limited to Life science and science. Community projects are very welcomed as well. *Process*: A 16-week mentoring & training program, based on the Mozilla Open Leader program, helping participants in becoming Open Science ambassadors by using three principles: - Sharing essential knowledge required to create, lead, and sustain an Open Science project. - Connecting members across different communities, backgrounds, and identities by creating space in this program for them to share their experiences and expertise. - Empowering them to become effective Open Science ambassadors in their communities. ** Program is free, but requires registration in Openreview and application (simple one!) with a project where you would like to apply open skills ** You can check the recording of the application launch call from December 10th on Open Life Science youtube channel: https://youtu.be/shM2mVyLjxU And feel free to pop by on January 11th at the Application Clinic (Q&A) call. Registration and details: https://www.eventbrite.co.uk/e/application-clinic-call-qa-tickets-506693121… More information: https://openlifesci.org/ols-7 Deadline is on the January 15th, and could be slightly extended. Feel free to reach out to the Open Life Science team at team(a)openlifesci.org Twitter: https://twitter.com/openlifesci Linkedin: https://www.linkedin.com/company/openlifesci/ Best, Mayya Sundukova, PhD in Neuroscience Resident Fellow at Open Life Science >

Jan. 9, 2023

Apply for Okinawa/OIST Computational Neuroscience Course 2023 till end of the month

by Erik De Schutter

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc> The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc>) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Claudia Clopath (Imperial College London, UK) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Tomoki Fukai (OIST) • Izumi Fukunaga (OIST) • Yukiko Goda (OIST) • Mike Häusser (University College London, UK) • Bernd Kuhn (OIST) • Jinny Kim (KIST, South Korea) • Rosalyn Moran (King's College London, UK) • Steve Prescott (University of Toronto, Canada) • Sam Reiter (OIST) • Greg Stephens (OIST) • Kazumasa Tanaka (OIST)

Jan. 9, 2023

Systems Vision Science Summer School & Symposium: Aug. 14-24, in Tuebingen, Germany

by Li Zhaoping

*Systems Vision Science Summer school & Symposium, Aug. 14-24, in Tübingen, Germany* *--------------------------------* Applications are invited for a brand new summer school designed foreveryone interested in gaining a systems level understanding ofbiological vision. We plan a coherent, graduate-level, syllabus on theintegration of experimental data with theory and models, featuringlectures, guided exercises and discussion sessions. The summer schoolwill end with a Systems Vision Science symposium on frontier topics,with talks and posters by additional participants. All summer school participants are invited to attend the symposium, and are welcome to submit contributions. *--------------------------------* ***Invited lecturers and speakers include:*Assaf Breska, Peter Dayan, Andrea van Doorn,Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink,Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. *******--------------------------------* Please apply**via_https://summerschool.lizhaoping.org/application_<https://summerschool.lizhaoping.org/application/>* by**** March 31, 2023.* Please check out our webpage_https://summerschool.lizhaoping.org_<https://summerschool.lizhaoping.org>to find more out about the program, our invited lecturers/speakers,and other details. Please direct inquiries to___svs.summerschool(a)tue.mpg.de_<mailto:svs.summerschool@tue.mpg.de> *******--------------------------------* *Organizing team:* Li Zhaoping, Ulf Lüder, Maria Pavlovic, Junhao Liang *__**_Max Planck Institute for Biological Cybernetics_*<https://www.kyb.tuebingen.mpg.de/en>**** *__**_University of Tuebingen_*<https://uni-tuebingen.de/en/faculties/faculty-of-science/faculty/>**** *__**_www.lizhaoping.org_* <http://www.lizhaoping.org>

Jan. 8, 2023

Re: 2022 PROSE book award in Neuroscience

by Grossberg, Stephen

Dear Comp-Neuro colleagues, I feel happy and honored to report that my Magnum Opus Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 has won the 2022 PROSE book award in Neuroscience from the Association of American Publishers. Best wishes for the New Year! Steve Grossberg Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg steve(a)bu.edu -

Jan. 7, 2023

DEADLINE EXTENDED - Postdoc opening in computational analysis of electrophysiological data (FunSy team - Strasbourg)

by BATTAGLIA Demian

We are currently inviting applications for a full-time postdoc position under the joint co-mentoring of Dr. Demian Battaglia and Dr. Romain Goutagny (University of Strasbourg, France; Functional System's Dynamics team – FunSy, https://funsyteam.org<https://funsyteam.org/>). The position starts as soon as possible and can last up to two years. This job offer is funded by the French ANR "HippoComp" project, which focuses on the complexity of hippocampal oscillations and the hypothesis that such complexity can serve as computational resource. In our joint FunSy team, we perform electrophysiological recordings in hippocampus and cortex during spatial navigation and memory tasks in mice (wild type and mutant developing various neuropathologies) and have access to vast data through local and international cooperation. Furthermore, we use a large spectrum of computational tools ranging from time-series and network analyses, information theory and machine-learning to multi-scale computational modeling. A good idea about some of the approaches used in the lab can be found in this recent preprint: Douchamps et al. 2022. Hippocampal gamma oscillations form complex ensembles modulated by behavior and learning, bioRxiv (https://doi.org/10.1101/2022.10.17.512498) We are seeking for various profiles of candidates, with main expertise in either computational or experimental neuroscience. Computational project components would deal with numerically-intensive data analyses (dimensional reduction, encoding/decoding, design of discriminative features...). Experimental project components would focus primarily on simultaneous fiber photometry and local-fields potentials recordings, together with the pre-processing of these data. Interested candidates could have hybrid experimental/computational projects. The ideal candidate will have a doctorate in systems or computational neuroscience, with previous experience in the analysis of rich datasets. In addition, we expect programming skills (e.g., Python, C/C++, Matlab), good communication skills in English (oral and written), the ability to work well in an international team, curiosity and open-mindedness. Strasbourg University is home of an emergent and active community in neuroscience, from molecules and cells to whole brain imaging and behavior, in relation with clinics. The proximity with Germany and Switzerland is an asset allowing interactions with transnational Computational and Neuroscience teams. Strasbourg, home of important European institutions, is a small fascinating city with a rich student and cultural life, well connected via high-speed train to important European cities (e.g. less than two hours from Paris). EXTENDED DEADLINE FOR APPLICATION: January 22nd 2023 Please send your application, including CV, motivation letter and representative publications (preprints accepted) electronically, to both PIs (Romain Goutagny and Demian Battaglia). In addition, contacts of at least two academic references must be communicated (contact email or recommendation letter attachments). Pre-selected candidates will be interviewed over Zoom or invited to give a talk if possible. We are committed to equal opportunity hiring. We strongly encourage applications from qualified women or candidates from any country. Contact persons: Demian Battaglia, dbattaglia AT unistra.fr<mailto:dbattaglia@unistra.fr> Romain Goutagny, goutagny AT unistra.fr<mailto:goutagny@unistra.fr>

Jan. 5, 2023

Postdoc Fellowships in new Center at Washington University in St Louis

by Goodhill, Geoffrey

Dear Comp-Neuro, Washington University in St Louis has now launched a new Center for Theoretical and Computational Neuroscience, ctcn.wustl.edu. This is a joint initiative between the Schools of Medicine, Engineering, and Arts and Sciences, and provides a hub for neuroscientists to collaborate with mathematicians, physicists and engineers to find creative solutions to some of the most difficult problems currently facing neuroscience and artificial intelligence. The CTCN is now recruiting a cohort of outstanding Postdoctoral Fellows to work at the interface between theoretical and experimental labs and help forge new collaborations. Washington University in St Louis is ranked in the top 10 worldwide for Neuroscience and Behavior. Salary for CTCN Fellows is significantly above standard NIH postdoc rates, and funds for conference travel are included. In addition, WashU offers excellent benefits and comprehensive access to career development, professional and personal support. Applications from women and under-represented minorities are particularly welcome. The collaborative environment at WashU is a reflection of the critical importance placed on diversity, equity and inclusion and creating a welcoming place where postdocs can thrive. The St Louis metropolitan area has a population of almost 3M and is rich in culture, green spaces and thriving music and arts scenes, as well as being quite affordable. For more details on this prestigious Fellowship opportunity, including how to apply, please see ctcn.wustl.edu. Review of applications will begin on Jan 30th and continue until the positions are filled. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

Jan. 4, 2023

Allen Institute Modeling Software Workshop

by Anton Arkhipov

Happy New Year, everyone! Please join us for the Allen Institute Modeling Software Workshop in beautiful Seattle, on July 13-14, 2023! https://alleninstitute.org/what-we-do/brain-science/events-training/2023-mo… Sponsored by the NIH BRAIN program, this workshop is organized by the Allen Institute and our collaborators at the Theoretical and Computational Biophysics Group at the University of Illinois at Urbana-Champaign. This 2-day in-person workshop will consist of interactive seminars and hands-on computational work. It will focus on teaching the skills for building and simulating complex and heterogeneous network models grounded in real biological data. The tools covered by the workshop include: * The SONATA file format<https://github.com/AllenInstitute/sonata> for multiscale neuronal network models and simulation output. * The Brain Modeling ToolKit (BMTK)<https://alleninstitute.github.io/bmtk/> – a Python-based software package for building and simulating network models at multiple levels of resolution. * The Visual Neuronal Dynamics (VND)<http://www.ks.uiuc.edu/Research/vnd/> – a program for displaying, animating, and analyzing neural network models using 3D graphics and built-in scripting. Workshop Topics: * Building heterogenous neural networks at different levels of resolution * Simulating networks of biophysically detailed, multi-compartmental neuronal models * Simulating networks of point-neuron models * Providing realistic spiking inputs to the neural networks * Simulating perturbations * Simulating extracellular electric field * Using and sharing models in the SONATA format * Visualizing network models’ structure and dynamics in 3D We are eager to host a diverse audience, and we encourage trainees, scientists, and PIs to apply. Prior experience in modeling is not required or expected. The Allen Institute strives to make training opportunities available on a fair and equitable basis. Some travel funding is available for participants with financial need. Please indicate on your application whether such support is needed. Applications will be evaluated on a need-blind basis. There is no fee to participate in the workshop. Applications are due on February 15. All applicants will be notified of the status of their application by April 15. See more information and apply here: https://alleninstitute.org/what-we-do/brain-science/events-training/2023-mo… Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

Jan. 4, 2023

Modellers Workshop for the Brain Dynamics Toolbox

by Stewart Heitmann

Modeller’s Workshop for the Brain Dynamics Toolbox. An online course for those who wish to simulate user-defined dynamical systems using the Brain Dynamics Toolbox (bdtoolbox.org<https://bdtoolbox.org>). This is a self-paced course with a practical focus on the art of programming differential equations. Video lectures guide the student through every step of building the model. Topics include Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Reference Heitmann & Breakspear (2022) Handbook for the Brain Dynamics Toolbox: Version 2022. ISBN 978-0-6450669-2-0. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

Jan. 3, 2023