March 2024 - Comp-neuro - lists.cnsorg.org

World wide VVTNS series: Wednesday, April 3 at 11am (EDT),Manuel Beiran Columbia University | Prediction of neural activity in connectome-constrained recurrent networks

by David Hansel

Important: North America moved to daylight savings time on March 10 Please check the time in your country ------------------- [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Manuel Beiran Columbia University on the topic of "Prediction of neural activity in connectome-constrained recurrent networks *"* The lecture will be held on zoom on *April 3, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *In this talk, I will explain a theory of connectome-constrained neural networks in which a “student” network is trained to reproduce the activity of a ground-truth “teacher”, representing a neural system for which a connectome is available. Unlike standard paradigms with unconstrained connectivity, here both networks have the same connectivity but they have different biophysical parameters, reflecting uncertainty in neuronal and synaptic properties. We find that the connectome is often insufficient to constrain the dynamics of networks that perform a specific task, illustrating the difficulty of inferring function from connectivity alone. However, recordings from a small subset of neurons can remove this degeneracy, producing dynamics in the student that agree with the teacher. Our theory can prioritize which neurons to record from to most efficiently unmeasured network activity. The analysis shows that the solution spaces of connectome-constrained and unconstrained models are qualitatively different, and provides a framework to determine when such models yield consistent dynamics. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Pères 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ᐧ

March 31, 2024

Research Summit on Fundamental Challenges for AI. Mountain View, April 15th.

by Battleday, Ruairidh

We are most excited to announce the AE Spring Summit on Fundamental Challenges for AI (Computer History Museum, Mountain View; April 15th). www.algopreneurship.org This is a day of keynote talks and panels by leading AI researchers on what the open problems for the development of AI algorithms are, and promising scientific and engineering strategies for solving them. We have invited speakers and representatives from the following five technical stakeholder groups to this Summit: - Academia - Tech - FROs / nonprofits - Start-up - VCs / Funders By soliciting answers and discussions from scientists and leaders at these different groups we hope to also examine what their different roles will be in the next period of AI research, and to foster the sharing of research between them. This should be an exciting and productive day, and we have made lower-priced tickets available for students and early-stage researchers. Lunch and a reception will be provided. We look forward to seeing some of you there, and please feel free to share news about the event on social media. The Thinking About Thinking <http://www.thinkingaboutthinking.org> Team Twitter / X: https://bit.ly/springsummitaix LinkedIn: https://bit.ly/springsummitaiLI -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

March 29, 2024

Doctoral studies in the computational neuroscience of decision-making

by Paul Cisek

Doctoral studies in the computational neuroscience of decision-making Department of Neuroscience, University of Montreal Applications are invited for doctoral studies in computational neuroscience, in the laboratory of Paul Cisek at the University of Montreal. Our research investigates the neural mechanisms of embodied decision-making and action planning in humans and non-human primates using computational models of the nervous system integrated with behavioral experiments, transcranial magnetic stimulation, and multi-electrode recording in multiple regions of the cerebral cortex and basal ganglia. New projects will use virtual reality to study naturalistic behavior in humans and non-human primates and develop theoretical models of how distributed cortical and subcortical circuits govern continuous interaction with a dynamic environment. We are currently seeking a PhD student whose primary project will involve mathematical models that capture and explain data from previous and current experiments and make testable predictions for future work. Students with a strong background in mathematics, engineering, computer science, or physics, coupled with a keen interest in theoretical neuroscience are encouraged to apply. Prior experience in neurophysiology, behavioral neuroscience and/or computational modeling of neural systems is desirable. Interested candidates are asked to send a curriculum vita, copies of academic transcripts, a statement of research interests and the names and contact information for two references, to Paul Cisek (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 before April 30, 2024. Paul Cisek, PhD Département de neurosciences Université de Montréal Physical: 2960 chemin de la tour, local 4117 Montréal, QC H3T 1J4 CANADA Mailing: CP 6128 Succursale centre-ville, Montréal, QC H3C 3J7 CANADA e-mail: paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca> Web: www.cisek.org/pavel<http://www.cisek.org/pavel>

March 28, 2024

Present at Assembly 2024: Submit your IP session abstract today

by INCF

Present at Assembly 2024: Submit your IP session abstract today! Deadline: April 08 **please share with your networks** Are you interested in speaking at INCF Neuroinformatics Assembly 2024 <https://neuroinformatics.incf.org/>? We are seeking 3 investigator presentations for each of the 4 main sessions at INCF Neuroinformatics Assembly 2024: - FAIR neuroscience - Technologies for large-scale computation and team science - Applications of AI to neuroscience research - Closing the discovery loop and digital twins Those selected for investigator presentations will have their registration fee waived. See the full list of topics & apply today <http://bit.ly/INCFabstracts> Poster abstract submissions <https://neuroinformatics.incf.org/abstract-submission> and early bird registration <https://neuroinformatics.incf.org/register> are also open - be sure to check them out while time lasts! /The INCF Team

March 28, 2024

Position of Associate Professor in software engineering and Computer Science, University of Lille

by Chaabane Djeraba

The position of Associate Professor in computer science is open at the University of Lille. It is open for the FOX research team (https://www.cristal.univ-lille.fr/equipes/fox/; doi: 10.1109/TAFFC.2019.2949559), which wishes to strengthen research in the field of computer vision, and in particular: * software engineering for computer vision * computer vision and artificial intelligence * spiking neural network and neuromorphic approaches to computer vision * frugal learning for computer vision https://galaxie.enseignementsup-recherche.gouv.fr/antares/fichePosteAntee?t… Candidates will be expected to publish in vision-related conferences and journals. In terms of disciplinary teaching, there is a strong need for courses in areas such as software engineering, databases, computer architecture, system programming, networks, cybersecurity; programming and software engineering; algorithms, automata, languages, logic; data, AI, machine learning; HMI, vision, image processing. More generally, the experience of candidates coming to reinforce all the department's teaching units will be appreciated. Contact: Chaabane Djeraba (chaabane.djeraba(a)univ-lille.fr) and Ioan Marius Bilasco (marius.bilasco(a)univ-lille.fr) for further information. Deadline : Friday 29 March 2024, 4 PM, heure de Paris Start date : 01 September 2024 — Chaabane Djeraba Professeur des Universités en Informatique Univ. Lille CRIStAL CNRS - UMR 9189 Cité Scientifique 59650 Villeneuve d'Ascq Cedex - France ----oooOooo---- Recent papers of the target research team: DOI: 10.1109/TIP.2021.3129120 DOI: 10.1109/TAFFC.2019.2949559 Doi: 10.1016/j.neucom.2023.126805 Doi: 10.1109/TAFFC.2021.3124142 Doi: 10.1016/j.patcog.2019.04.016 ----ooooOooo----

March 27, 2024

Deadline approaching: Call for Satellite Workshop Proposals - Bernstein Conference 2024

by Alexander Lammers

The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops at the Bernstein Conference 2024 in Frankfurt am Main, Germany. Deadline: April 10, 2024 – 15:00 CEST ____ Bernstein Conference 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 renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. https://www.bernstein-conference.de/ ____ Invited speakers Dmitriy Aronov (Columbia University, USA) Alison Barker (Max Planck Institute for Brain Research, Germany) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Xiao-Jing Wang (New York University, USA) ____ Satellite Workshops Satellite Workshops of the Bernstein Conference 2024 provide a forum to discuss topical research questions, novel scientific approaches, and challenges in computational neuroscience and related fields. Ideally, the format should foster extensive scientific discussions and debates, and go beyond a mere series of talks. https://bernstein-network.de/bernstein-conference/call-for-satellite-worksh… ____ Important Dates Satellite Workshops: September 29 - 30, 2024 * Sunday, Sep 29, 14:00 - 18:30 CEST * Monday, Sep 30, 8:30 - 12:30 CEST Main Conference: September 30 - October 2, 2024 Deadline for Satellite Workshop proposal submission: April 10, 2024 – 15:00 CEST Notification of Satellite Workshop acceptance: May 2024 ____ Benefits of participation Satellite Workshop registration is free for speakers of workshops. Workshop organizers (max. 2 per workshop) will receive waivers for the Satellite Workshops and Main Conference. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

March 27, 2024

Last few days to apply to the Eresfjord School "Mathematical Methods in Computational Neuroscience"

by Ines Samengo

If you are a master, a PhD student, or a postdoc working in computational neuroscience, you may want to consider applying to the Eresfjord summer school "Mathematical Methods in Computational Neuroscience" taking place in Eresfjord, Norway, between the 8th and the 16th July 2024. The deadline is next Sunday 31st March. More information in https://www.compneuronrsn.org/

March 27, 2024

Postdoc/Master position ML

by Sivan Kinreich

Please forward this to those who may be interested: Dr. Kinreich's group at SUNY Downstate Medical Center, NY ( https://www.pmbd2.org/) investigates the structural and functional neural networks (fMRI, EEG), genetics, and other phenotypes associated with the risk and resilience factors underlying the development of brain diseases. We use advanced machine learning algorithms and seek a skilled, motivated, and enthusiastic individual with a Master's degree / postdoctoral fellow to join the lab. The position: Education: Candidates must have a Master's degree or a Ph.D. degree (or towards completion) in computational neuroscience, biology, computer science, data science, or a related discipline. Computer and General Skills: Knowledge of experimental statistics and excellent programming skills are required (Python, Matlab). High-level expertise in neuroimaging analyses is a plus. Previous experience in machine learning analysis and computational modeling is desirable. Takes initiative. Strong communications skills and research productivity, as well as the ability to work effectively in a research team. Duties and Responsibilities: • Managing and analyzing big data, including neuroimaging, genetics, and clinical data • Writing machine learning programs in Python and Matlab to identify patterns in data • Writing manuscripts • Presenting findings at national conferences and local seminars/meetings This job is available immediately for 2 years. Job is open until filled. Salary will be commensurate with experience and qualifications according to NIH scales. Candidates should send their CV, representative publications, and contact information of two references to Sivan Kinreich, email: sivan.kinreich(a)downstate.edu Sivan Kinreich, Ph.D. Department of Psychiatry Prediction Modeling and Biomarker Discovery of Brain Disorders lab (PMBD2) Henri Begleiter Neurodynamics Laboratory SUNY Downstate Medical Center 450 Clarkson Ave. Brooklyn, NY 11203 Tel: 718-270-3322 646-775-8509 Email: sivan.kinreich(a)downstate.edu sivankinreich(a)gmail.com ________________________________ The contents of this email message and any attachments are confidential and are intended solely for the addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify sender by reply email or by (718) 270-HELP.

March 26, 2024

FLUX workshop for MEG data analysis

by Qiaoyu Chen

[cid:e934249d-37a9-41ef-9696-bb8c8f3992cf]Toolkit in Using the FLUX Pipeline for MEG Research Join us for an immersive learning experience using the FLUX pipeline for MEG data analysis Toolkit at the Centre for Human Brain Health at the University of Birmingham from 11th -14th June 2024. The FLUX pipeline<https://www.neuosc.com/single-project>, is an approach for analysing Magnetoencephalography (MEG) data using state-of-of-the art approaches and standards. Whether you are a newcomer to research using MEG or a healthcare professional integrating MEG into clinical practice, this course is designed to elevate your skills and advance your research capabilities. · Gain practical skills: Learn to streamline data preprocessing, event-related field spectral analysis, source modeling, multi-variate pattern analysis, and reporting using the FLUX pipeline. This pipeline is based on the widely used MNE-Python toolbox. · Enhance research practices: Learn the embraces practices for data curation (BIDS), reproducible research, open science, and standardized reporting empowering you to publish reliable and transparent findings. · Cognitive Neuroscience and Clinical Research: Learn how the FLUX pipeline is used in our MEG research projects. · Engage in interactive learning: Connect with world-leading experts and fellow attendees in discussions, exercises, and networking opportunities, fostering valuable collaborations and knowledge exchange. Application (pre-registration) deadline: 15th April 2024, 11:59 pm (GMT) Join us at the Centre for Human Brain Health for the FLUX toolkit course<https://www.neuosc.com/flux-toolkit>! For pre-registration, please visit https://www.neuosc.com/pre-registration. Contact us at q.chen.5(a)bham.ac.uk<mailto:q.chen.5@bham.ac.uk> for further details.

March 26, 2024

Cogitate Connectivity Data Challenge at BIOMAG 2024

by Qiaoyu Chen

We’re thrilled to invite researchers and enthusiasts to the Cogitate Connectivity Data Challenge<https://www.arc-cogitate.com/biomag-2024>, a featured event at BIOMAG 2024<https://www.biomag2024.org/cms/call-for-submissions-2-2/>! [cid:00d63bba-7772-41cb-8330-edb48529bde1] What’s the Challenge About? The Cogitate Connectivity Data Challenge aims to scrutinize contrasting predictions of two neuroscientific theories of consciousness: Global Neuronal Workspace Theory (GNWT) and Integrated Information Theory (IIT). Your task is to explore meaningful measures of functional connectivity using MEG data sets collected from healthy volunteers. MEG data have been collected from approximately 100 participants. The first batch of data will be available from March 25, 2024, setting the stage for your initial discoveries. Following this, the replication dataset will be released on June 15, 2024, offering further opportunities to validate and deepen your findings. Timeline * Data release - Batch 1: March 25, 2024 * Report - First draft/preregistration: June 14, 2024 [23:59 GMT] * Data release - Batch 2: June 15, 2024 * Report - Replication: July 15, 2024 [23:59 GMT] * Competition scoring: July 16 - August 25, 2024 * Competition results: August 26-29 @ BIOMAG 24 Prizes Entries will be evaluated by a board from the Cogitate Consortium, with prizes awarded as follows: * 1st prize: $1000 * 2nd prize: $500 * 3rd prize: $250 The winners will be announced at BIOMAG 2024<https://www.biomag2024.org/cms/call-for-submissions-2-2/> in Sydney (Australia), August 26-29, 2024. For more information, visit the Cogitate Connectivity Data Challenge<https://www.arc-cogitate.com/biomag-2024> website. If you have any questions or need assistance, feel free to reach out to us at cogitateconnectivitychallenge(a)gmail.com<mailto:cogitateconnectivitychallenge@gmail.com>. Best regards, the Organizing Committee

March 26, 2024