- Comp-neuro - lists.cnsorg.org

Prestigious Lecture Series - Live Talk by Prof. Tony Prescott - University of Sheffield

by Amir Aly

Dear All * *Apologies for cross-posting** I’m pleased to share that the next talk of the *CRNS Talk Series* at the University of Plymouth, scheduled for May 14th, will be an *IEEE-RAS* *co-sponsored Prestigious Lecture.* *Prof. Tony Prescott *from the University of Sheffield will deliver a talk on Wednesday, *May 14th *from *11:00 AM - 12:30 PM* (*London time*) over Zoom. *Thank you for forwarding the invitation to any of your colleagues who might be interested*. >> *Events*: The CRNS talk series will cover a wide range of topics including Social and Cognitive Robotics, Computational Neuroscience, Developmental Psychology, Computational Linguistics, Cognitive Vision, AI and Machine Learning, and healthcare. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> >> *Link for the next event*: According to IEEE regulations, registration to the event is required (*Registration Link <https://events.vtools.ieee.org/event/register/484198>*). A Zoom link will be sent to registered persons prior to the event. >> *Title of the talk: **Analysis and Synthesis of the Embodied Self: A Robotics Perspective* *Abstract*: This talk will consider the specific challenge of synthesizing a robot “sense of self”. The starting point is an analysis of the human self that sees it as brought into being by the activity of a set of transient self-processes instantiated by the brain and body. I propose that we can better understand this self-system, and thereby this core aspect of the human condition, through embodied (robotic) modelling. The self begins with the brain’s discovery of the body, of its ability to control it, and of the distinctive dynamics of interoceptive compared to exteroceptive sensory signals. These processes give rise to a minimal sense of self as a bounded agent, upon which layers of reflective self-processes are constructed that extend the self in space and time and that allow the recognition of other selves. To illustrate the talk, I will discuss ongoing attempts to create a sense of self for robots within my own lab and others. >> If you have any questions, please don't hesitate to contact me, Regards -------------------------------------------- *Dr. Amir Aly*, PhD, FHEA, SIEEE Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence UK and Ireland IEEE RAS Chapter Vice Chair Director of the Centre for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

May 6, 2025

Brains in Space - 20.05.25 - Thomas Wolbers (DZNE Magdeburg)

by Vinita Samarasinghe

It is time for *Brains in Space* again! This semester we invite you to talks by: Thomas Wolbers (DZNE Magdeburg), James McLaren (Universität Oldenburg), Xiangshuai Zeng (Ruhr University Bochum), and Lukas Kunz (Universität Bonn). The colloquium takes place virtually on Tuesday's from 16:00 to 17:30 (CEST) and the complete schedule can be found at https://www.ini.rub.de/teaching/courses/colloquium_brains_in_space_an_inter…. The first talk is on May 20th 2025 and is open to the public. Please feel free to forward this information to any of your colleagues who may be interested. May 20th: *Thomas Wolbers* - DZNE Magdeburg *Title:* Mechanisms of Navigational decline in human ageing Zoom link: https://ruhr-uni-bochum.zoom-x.de/j/67839364827?pwd=RfcIgK8OUfjkwWTNCf80ARX… [Meeting ID: 678 3936 4827; Passcode: 841644] We look forward to seeing you. Kind regards, Vinita -- Best, Vinita Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience <https://rub.de/cns> Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0)234 32 27996 Mobile: +49 (0)1512 7278698 Email: samarasinghe(a)ini.rub.de

May 6, 2025

World wide VVTNS series (fifth season): Wednesday, May 7, 2025, at 11:00 am EDT| Mark van Rossum, University of Nottingham

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Mark van Rossum University of Nottingham Energy efficient learning in neural networks The lecture will be held on zoom on Wednesday, May 7, 2025, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *The brain is one of the most energy intense organs. Some of this energy is used for neural information processing, however, fruitfly experiments have shown that also learning is metabolically costly. We will present estimates of this cost and introduce a general model of this cost, and compare it to costs in computers. Next, we turn to a supervised artificial network setting and explore a number of strategies that can save energy needed for plasticity. Either by modifying the objective function, by restricting plasticity, or by using less costly transient forms of plasticity. Finally, we will discuss adaptive strategies and possible relevance for biological learning. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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.* ᐧ

May 4, 2025

2025 Gatsby Unit PhD Programme - Apply by 27 May

by Lin, I-Chun

We have an opportunity for students to join our PhD programme this September. PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: Tuesday 27 May 2025 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The Unit provides a unique opportunity for a critical mass of theoreticians to interact closely with one another and with researchers at the Sainsbury WellcomeCentre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments such as Computer Science; Statistical Science; Artificial Intelligence; the ELLIS Unit at UCL; Neuroscience; and the nearby Alan Turing and Francis Crick Institutes. Our PhD programme provides a rigorous preparation for a research career. Students complete a 4-year PhD in either machine learning or theoretical/computational neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with SWC/CSML researchers to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/gatsby-unit-phd-programme<https://www.ucl.ac.uk/gatsby/study-and-work/gatsby-unit-phd-programme>. -- I-Chun Lin Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

May 2, 2025

Neuronal Spike Timing: Precision, Reliability, and the Neural Code from 1995-2025

by Paul Tiesinga

Dear Colleague In 1995 Mainen and Sejnowski published a striking result showing neurons in mammalian neocortex are capable of producing precise, reliable spike trains in response to fluctuating inputs. This work inspired sustained inquiry into the role of spike timing in sensory, motor and cognitive processes, including learning and memory, as well as theoretical investigations into neural coding, plasticity, and the mechanisms of precise spike timing. In recognition of the 30th anniversary of this seminal paper, Biological Cybernetics invites submissions to a special article collection on the topic “Neuronal Spike Timing: Precision, Reliability, and the Neural Code from 1995-2025.” Whether you have contributed to past research in this area and would like to write a retrospective review, or if you are actively pursuing new research building on spike timing, we encourage you to submit an article to this collection. The submission window will remain open from May 1 - November 1, 2025. Full details of the call for submissions are available at https://link.springer.com/collections/aadfbhcbii. We look forward to receiving your submission. Please direct inquiries regarding scope and suitability to pjthomas(a)case.edu and p.tiesinga(a)science.ru.nl. Sincerely Peter Thomas, Case Western Reserve University Paul Tiesinga, Radboud University

April 30, 2025

Call for Participation & Papers - ACAIN 2025 - 5th International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 21-24 2025, Riva del Sole Resort & SPA, Tuscany * Course Registration: May 23 * Paper Submission: May 23 *

by ICAS Organizing Committee

Call for Participation & Call for Papers (apologies for multiple copies, please forward to anybody who might be interested, thanks!) The 5th International Advanced *Course* & *Symposium* on Artificial Intelligence & Neuroscience, September 21-24, 2025, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2025.icas.events E: acain(a)icas.cc Symposium Deadline: Paper Submission (Symposium): by May 23 (AoE) https://acain2025.icas.events/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2025 Course Deadline: Regular Registration (Course): by May 23 (AoE) https://acain2025.icas.events/course-description/ https://acain2025.icas.events/registration/ https://2025.iaiss.cc/deadlines/ LECTURERS: Panos Pardalos, University of Florida, USA Jose Principe, University of Florida, USA Maneesh Sahani, University College London, UK Jonathon Shlens, Google DeepMind, USA Dimitra Thomaidou, Hellenic Pasteur Institute, Greece Marina Vidaki, University of Crete, Medical School, Crete, Greece More Speakers TBA https://acain2025.icas.events/course-lecturers/ SCOPE & MOTIVATION: ACAIN: AI meets Computational Neuroscience and Cognitive Science The ACAIN symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 23-24), will be preceded by lectures of leading scientists, the ACAIN Course, (September 21-22). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2025.icas.events/program-committee/ ORGANIZING COMMITTEE: https://acain2025.icas.events/symposium-committee/ VENUE & ACCOMMODATION: https://acain2025.icas.events/venue/ ACAIN is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. Riva del Sole Resort & SPA a: Località Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events(a)rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2025.icas.events/activities/ REGISTRATION: https://acain2025.icas.events/registration/ See you in Tuscany in September! ACAIN Organizing Committee. E: acain(a)icas.cc W: https://acain2025.icas.events FB: https://www.facebook.com/ACAIN.LakeDistrict Obviously, this is only a Call for Participation & Call for Papers, to have complete and updated information we recommend you access the relevant website: https://acain2025.icas.events * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *

April 30, 2025

Conference Fellowships and abstract deadline approaching for UK Neural Computation 2025

by Mark Humphries

We are offering up to 8 conference fellowships<https://neuralcomputation.uk/fellowships.html> to support attendance at UK Neural Computation 2025 by presenting authors, sponsored by ARIA's Scalable Neural Interface<https://www.aria.org.uk/opportunity-spaces/scalable-neural-interfaces> program. Fellowships include a full registration fee waiver and attendance expenses up to £225. Deadline: May 23rd. And a reminder that abstract submission closes May 12th. Submit here: https://forms.gle/kg5xaSfBX3sN7tUN9 Speakers, registration and full conference information here: https://neuralcomputation.uk/ Sponsors: ARIA Scalable Neural Interfaces program<https://www.aria.org.uk/opportunity-spaces/scalable-neural-interfaces> Francis Crick Institute<https://www.crick.ac.uk/> Organisers: Danyal Akarca (Imperial) Dan Goodman (Imperial) Mark Humphries (Nottingham) Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Connect: Bluesky<https://bsky.app/profile/markdhumphries.bsky.social> / LinkedIn<https://www.linkedin.com/in/mark-humphries-65a460212/> / X<https://x.com/markdhumphries> Essays on the brain and science: drmdhumphries.medium.com<https://drmdhumphries.medium.com/> Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) in hardback<https://press.princeton.edu/books/hardcover/9780691195889/the-spike?_gl=1*h…..>, paperback<https://press.princeton.edu/books/paperback/9780691241487/the-spike>, ebook<https://press.princeton.edu/books/ebook/9780691213514/the-spike-0?_gl=1*1uf…..> & audiobook<https://press.princeton.edu/books/audio/9780691224091/the-spike?_gl=1*37xz7…..> <https://press.princeton.edu/books/audio/9780691224091/the-spike?_gl=1*37xz7…..> read by Anand Jagatia This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

April 30, 2025

PhD and postdoc positions in accelerator design for computational neuroscience

by Jakob Jordan

Dear all, We are inviting applications for one PhD and one postdoc position in accelerator design for computational neuroscience and asynchronous digital hardware as part of a joint project between the Neuro-inspired Theory, Modeling and Applications (NeuroTMA) Lab led by Mihai A. Petrovici at the University of Bern, Switzerland, and the Asynchronous VLSI and Architecture (AVLSI) Lab led by Rajit Manohar at Yale University, USA. The NeuroTMA Lab focuses on biologically inspired models of spatio-temporal processing in recurrent cortical networks and their relation to reinforcement learning, Bayesian computing, and neuromorphic implementations. The AVLSI Lab conducts research on semantics, design methodologies, and architectures for asynchronous systems with the goal of designing and implementing efficient and programmable computation structures. The project will develop an accelerator for the simulation of cortical models of processing and learning. You can find more details about the positions at - https://physiologie.unibe.ch/Positions/NSFSNSFjobadphd.pdf (PhD candidate) - https://physiologie.unibe.ch/Positions/NSFSNSFjobadpostdoc.pdf (postdoctoral researcher) Both positions are available from June 1st, 2025. Please feel free to share with anyone else you think would be a good fit for these opportunities! Best, Jakob

April 29, 2025

Post-doc position in the UCL Human Electrophysiology Lab

by Bush, Daniel

Hello all, A post-doctoral research position is available in my lab<https://bushlab-ucl.github.io/> at the UCL Department of Neuroscience, Physiology and Pharmacology, funded for two and a half years in the first instance. This position is part of an EPSRC project investigating the neural mechanisms of human memory function. The project will focus on collecting and analysing intracranial EEG and single cell recordings from epilepsy patients and MEG recordings from healthy volunteers completing spatial and episodic memory tasks, in conjunction with computational modelling. Candidates must have a PhD (or be studying towards it) in science, engineering, maths or a relevant subject area that incorporates some aspect of neuroscience, and proven knowledge of computer programming (using Matlab, Python, or C++). Experience of collecting and analysing rodent electrophysiology, human EEG and / or MEG data is also essential. For further details including salary, benefits etc. please follow this link<https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=34112&jobTi…>, and if you have any queries about the role, please contact me at d.bush(a)ucl.ac.uk<mailto:d.bush@ucl.ac.uk> Many thanks Dan ---------------------------------------------------- Dr. Daniel Bush GM01, Medical Sciences Building, Gower Street, London, WC1E 6BT Principal Investigator, UCL Human Electrophysiology Lab<https://bushlab-ucl.github.io/> Lecturer, UCL Department of Neuroscience, Physiology and Pharmacology<https://www.ucl.ac.uk/npp/> Associate Editor, PLoS Computational Biology<https://journals.plos.org/ploscompbiol/>

April 29, 2025

Neuroinformatics Unit Open Software Week, in London this August

by Nikoloz Sirmpilatze

We’re pleased to announce the first Neuroinformatics Unit Open Software Week <https://neuroinformatics.dev/open-software-week> at the Sainsbury Wellcome Centre <https://www.sainsburywellcome.org/web/> in *London* this *August 11-15*.This event will bring together researchers, developers, and users of *open-source neuroscience software* for some hands-on training, community-building and hacking. There will be three main tracks: 1. *Animals in motion*: using open-source tools to track and analyse animal motion from video footage 2. *BrainGlobe*: using the BrainGlobe ecosystem of computational neuroanatomy tools to analyse whole-brain microscopy datasets 3. *Big Imaging Data*: bridging technical gaps and communities to process and analyse large 3D imaging datasets with open-source tools There will also be a series of satellite events: - Introduction to Python - Alternative research careers clinic - Collaborative coding with Git - Hackday The event is free to all, but spots are limited. We will be offering several travel stipends for participants outside of London.More details and registration on our website. Please share with anyone who may be interested.https://neuroinformatics.dev/open-software-week Kind regards, Niko [image: schedule-2025_white-bg.png] --------------------------------------- *NIKOLOZ SIRMPILATZE *MD PhD Senior Research Software Engineer Sainsbury Wellcome Centre & Gatsby Computational Neuroscience Unit University College London nikosirmpilatze.com

April 28, 2025

Master Program in Computational Neurosciences - Lyon (FR)

by DI VOLO MATTEO

Dear colleagues, We are excited to invite applications for the new Master's Program in Computational Neurosciences at the University of Lyon 1 (France): https://masterneuro.univ-lyon1.fr/m2-cns/ This program offers a strong theoretical foundation combined with extensive hands-on practical experience. Students will develop their skills through project-based learning and laboratory work. The initial courses focus on building solid knowledge in neuroscience, mathematics, programming, and statistics, forming the basis for advanced courses covering biophysical models of neurons, neural networks, and models of behavior. Students can personalize their curriculum through optional units exploring cutting-edge fields such as clinical neuroscience, cognition, artificial intelligence, and neurotechnologies. The second semester is entirely dedicated to a full-time research internship in a laboratory, providing a unique opportunity for immersion in active research environments. For more information please contact Matteo di Volo (matteo.di-volo(a)univ-lyon1.fr) or Jérémie Mattout (jeremie.mattout(a)inserm.fr)

April 28, 2025

Janelia Farm Junior Scientist Workshop on Theoretical Biophysics ( October 26 - 31, 2025 )

by Ahmed El Hady

*Janelia Farm Junior Scientist Workshop on Theoretical Biophysics* October 26 - 31, 2025 *Application Deadline*: *June 10, 2025 *(11:59pm ET.) *Website:*https://www.janelia.org/you-janelia/conferences/junior-scientist-workshop-on-theoretical-biophysics-0 Organized by Ahmed El Hady ( University of Konstanz / MPI Animal Behavior ) , Magdalena Schneider ( Janelia Farm) , and Allyson Sgro ( Janelia Farm ) , this workshop is intended as a "by the students, for the students" meeting. Other than the organizers and invited speakers, participants will include only students and postdocs working on a variety of problems in theoretical biophysics, broadly defined. Topics include but not limited to : ·Physical principles underlying biological function in molecular, cellular, multicellular systems ·Theory of organismal development ·Theory of animal behavior, ecological systems, and evolutionary dynamics ·Data driven identification of principles in biophysical systems ·Physics of active matter ·Non–equilibrium thermodynamics of living systems Attendees will have the opportunity to present as well as learn from one another. They will give 20-minute talks on their own research questions, as well as in-depth 45-minute whiteboard tutorials on techniques central to their research. To promote spontaneous interactions and community discussions, tutorials will be chalk talk style. We are interested in those who will be able to participate in and actively contribute to all activities, so space is limited and participants are expected to stay for the full duration. We see this workshop as a unique learning opportunity for everyone involved and intend for it to be a valuable and enjoyable experience. Janelia will cover the cost of accommodation, meals and reasonable travel expenses for accepted participants. We especially encourage applications from women and those who identify with groups that are traditionally underrepresented in science *To be considered, applicants must apply online <https://arc.hhmi.org/applicant/application/THB25/home>and provide:* 1. Research Abstract 2. Tutorial Abstract 3. Answers to Scientific Thought Questions 4. Interest Statement 5. Current CV 6. PI Recommendation Letter If you have any questions , please let me know , On behalf of the organizers , Ahmed El Hady Dr. Ahmed El Hady Research Group leader Integrative biophysics group Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

April 28, 2025

Postdoctoral positions -- modeling of dopamine in rhythm perception

by Jonathan Cannon

*[Information here is similar to a previous posting, but our search is now focused on postdoctoral modelers, with an emphasis on negotiable salary]*McMaster University, Hamilton Ontario The METRE lab (Models and Experiments in Timing, Rhythm, and Entrainment, metre.mcmaster.ca), led by Jonathan Cannon (joncannon.net) is initiating a collaboration with Dan Bang’s group at University of Aarhus, Denmark, funded by the Human Frontier Science Program. The project will collect electrophysiological and electrochemical data from human basal ganglia during deep brain stimulator implantations while patients listen to and entrain movement to auditory rhythms. Data will be used to evaluate and develop models of the role of dopamine in rhythm perception, movement, and prediction. Dr. Cannon is looking to welcome at least one postdoctoral researcher *as soon as possible* to develop both neurophysiological and interpretive (Bayesian predictive processing, reinforcement learning) models of rhythm perception. They may also help to analyze intracranial data and pursue other projects at the intersection of computational neuroscience/cognition, experimental neuroscience/psychology, and music perception, in a rapidly growing new Canadian lab focused on rhythm in the brain and what it can tell us about the experience of being human. - Duration: Up to four years (with appointment extended one year at a time) - Start Date: ASAP - Salary: *Negotiable, competitive* - Location: McMaster University, Hamilton Ontario, Canada - *We will start contacting applicants on May 1 -- please apply ASAP!* Research Environment The METRE lab is a rapidly growing, international group with diverse interests and backgrounds. Lab members generally attend at least one conference per year, which may include COSYNE or auditory/music/rhythm-focused conferences. Postdocs will have access to teaching and professional development opportunities through the McCall MacBain Postdoctoral Fellows Teaching & Leadership Program <https://mccallmacbain.mcmaster.ca/>. Hamilton is a family-friendly city with hiking trails everywhere. 1-2hrs to Toronto by car or public transportation. Application Process *Please submit* a cover letter, a CV, and email addresses for two academic references. We will notify applicants before contacting references. *Send materials by email* to Jonathan Cannon: cannoj9(a)mcmaster.ca *Subject line:* HFSP postdoc/phd positions

April 25, 2025

Lab Associate and Research Scientist positions at the NYU Center for Brain Imaging

by Chrysa Papadaniil

The Center for Brain Imaging at New York University <https://as.nyu.edu/research-centers/cbi.html> has two open positions for a Laboratory Associate and a Research Scientist at our MRI facility. Please see the position summaries below - the full details can be accessed through the direct links: *Laboratory Associate *(https://apply.interfolio.com/166760) <https://apply.interfolio.com/166760> The New York University Center for Brain Imaging seeks a full-time Laboratory Associate to oversee the efficient and safe operation of a research MRI facility, including training and supervision of researchers. The role also involves troubleshooting equipment issues and MRI data handling. Qualified applicants should have (among other things): - Bachelor's degree in a science-related field; - Minimum 2 years post-BA/BS with outstanding research competence; - Experience with magnetic resonance equipment, technical facility management, training and/or teaching experience; - Familiarity with word processing, spreadsheets, databases, and web-based applications (e.g., HTML). *Research Scientist *(https://apply.interfolio.com/166773) <https://apply.interfolio.com/166773> The New York University Center for Brain Imaging seeks a full-time Research Scientist to oversee the efficient and safe operation of a researchMRI facility, including training and supervision of the researchers. This position involves collaborating with researchers, MRI data management and analysis. The Research Scientist will also contribute to extramural research funding efforts. Qualified applicants should have (among other things): - Minimum 1 year post-PhD in a science-related field; - Highest research competence, attested to by PhD and equivalent level independent research and publications. - Experience with magnetic resonance imaging, grant writing, technical facility management, training and/or teaching experience. - Ability to troubleshoot both software and hardware, work with databases, web-based applications (e.g., HTML), and good coding, computer, networking, statistics, and/or modeling skills. To apply for the positions, please use the direct links provided above. For informal inquiries, you can reach out to Chrysa Papadaniil ( chrysa(a)nyu.edu) or cbi-info(a)nyu.edu. Please share this email with anyone you think would be a good fit for these opportunities!

April 25, 2025

Postdoc position on modeling Metacognition in Inria Bordeaux, France

by Frederic Alexandre

The Mnemosyne team of the Inria centre of the University of Bordeaux (France) is looking for a talented postdoctoral fellow with confirmed competences in the domain of Machine Learning for the development of a modeling framework of Metacognition . Metacognition is the cognitive process by which, instead of just learning to associate a response or a behavior with a situation, animals (and mainly primates) monitor the functioning (and particularly errors) of simple cognitive processes, learn to inhibit automatic responses and promote instead contextually appropriate behavioral rules. Better understanding and modeling this process is important for several reasons. In cognitive neuroscience , it paves the way to exploring higher cognitive functions like reasoning, imagination and other kinds of deliberation-based thoughts. In Artificial Intelligence , it stands on the same grounds as Generative AI and proposes different processes and algorithms that might remedy several weaknesses of GenAI and suggest innovative brain-inspired extensions. Located in Bordeaux (France), the role of the postdoctoral fellow to be recruited is to participate to a research program, under the following axes: Axis 1: Specification of Metacognition and its main computational mechanisms: Metacognition is generally described through three main mechanisms: (i) the possibility to monitor cues indicating difficulties in the process of problem solving (errors or conflicts between resources), in order to inhibit elementary default responses, (ii) working memory to keep in sustained activity the different aspects to be integrated (goals and subgoals, predictions, constraints) and (iii) cognitive flexibility corresponding to new goals and contextual rules that can be learned and integrated in the process of problem solving. Existing models (including from our team) indicate possible correspondence with cerebral circuitries and adaptive operations. Nevertheless, they are many and split these general mechanisms in different pieces which are not always consistent and may differ under several aspects. A major contribution will be to carry out a thorough analysis of these elements, to propose a synthesis associating both a precise description of the mechanisms and a map of their functional dependencies. Axis 2: Definition of relevant tasks in the domain of visual reasoning: Although many standard tasks have been defined and shared for simple sensorimotor control, it is not yet the case for cognitive control, generally corresponding to much more complex behaviors. A variety of tasks have been proposed in models evoked above but they differently integrate fundamental constituents such as hierarchical and temporal dependencies. In a similar view of standardization as in the axis above, the goal will be consequently to enumerate properties that have to be assessed when developing such metacognitive models and propose or design corresponding tasks. Subsequently, the postdoctoral fellow will work on integrating the insights from Axis 1 and task definitions in this Axis, with an architecture that integrates selected mechanisms from the different frameworks, particularly under the perspective of extending and evaluating models proposed in our team with novel properties. Axis 3: Organization of an international network of collaboration on the topic: We have already begun to identify and contact international (mainly European) teams working on the topic and willing to contribute to the elaboration of such a roadmap, toward more ambitious international projects. A corresponding goal will be to interact with these partners and to help with the preparation of such projects. This postdoc position is proposed for 18 to 24 months, preferably starting on November 1 st , 2025 and will be located in the Mnemosyne team, in Bordeaux, France. Please send CV + motivation letter to [ mailto:Frederic.Alexandre@inria.fr | Frederic.Alexandre(a)inria.fr ] for preliminary contact and interview. Deadline for application: June 1 st , 2025 References: Dagar, S., Alexandre, F., & Rougier, N. (2022). From Concrete to Abstract Rules: A Computational Sketch. In M. Mahmud, J. He, S. Vassanelli, A. van Zundert, & N. Zhong (Eds.), Brain Informatics . Springer International Publishing. [ https://doi.org/10.1007/978-3-031-15037-1_2 | https://doi.org/10.1007/978-3-031-15037-1_2 ] Kruijne, W., Bohte, S. M., Roelfsema, P. R., & Olivers, C. N. L. (2020). Flexible Working Memory Through Selective Gating and Attentional Tagging. Neural Computation , 33 (1), 1–40. [ https://doi.org/10.1162/neco_a_01339 | https://doi.org/10.1162/neco_a_01339 ] van den Berg, A. R., Roelfsema, P. R., & Bohte, S. M. (2023). Biologically plausible gated recurrent neural networks for working memory and learning-to learn. bioRxiv , 2023-07. Alexander, W. H., & Brown, J. W. (2015). Hierarchical Error Representation: A Computational Model of Anterior Cingulate and Dorsolateral Prefrontal Cortex. Neural Computation , 27 (11), 2354–2410. [ https://doi.org/10.1162/NECO_a_00779 | https://doi.org/10.1162/NECO_a_00779 ] Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001). Conflict monitoring and cognitive control. Psychological Review , 108 (3), 624–652. Collins, A., & Koechlin, E. (2012). Reasoning, Learning, and Creativity: Frontal Lobe Function and Human Decision-Making. PLOS Biology, 10(3), e1001293+. [ https://doi.org/10.1371/journal.pbio.1001293 | https://doi.org/10.1371/journal.pbio.1001293 ] Domenech, P., & Koechlin, E. (2015). Executive control and decision-making in the prefrontal cortex. Current Opinion in Behavioral Sciences , 1 , 101–106. [ https://doi.org/10.1016/j.cobeha.2014.10.007 | https://doi.org/10.1016/j.cobeha.2014.10.007 ] Miller, K., Eckstein, M., Botvinick, M., & Kurth-Nelson, Z. (2024). Cognitive model discovery via disentangled RNNs. Advances in Neural Information Processing Systems , 36 . -- Frederic A LEXANDRE

April 25, 2025

Postdoc position in computational neuroscience

by pedro goncalves

Dear all, The Verstreken Lab and our lab are based in Leuven, Belgium and part of the VIB-KU Leuven Center for Brain & Disease Research, and NERF and VIB.AI, respectively. The Verstreken lab is developing advanced multielectrode array systems to mimic human brain circuits relevant to Parkinson’s disease, and has been supported by the ERC for the past 15 years. Our lab is currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We are seeking a motivated and enthusiastic postdoctoral colleague with strong computational skills in the analyses of complex data sets to join our teams. More details about the position and the labs can be found at https://jobs.vib.be/j/110908/postdoc-position-computational-methods-for-neu… Best wishes, Pedro Gonçalves --------------- Pedro Gonçalves Principal Investigator at NERF, a joint research initiative by imec, VIB, and KU Leuven Associate Professor at the Departments of Computer Science and Electrical Engineering, KU Leuven Affiliated PI at VIB Center for AI & Computational Biology https://goncalveslab.sites.vib.be/en

April 24, 2025

FRCCS 2025 Program is Live – Join Us in Bordeaux!

by Hocine Cherifi

Dear colleagues, The final program for *FRCCS 2025* is now available! 📅 *May 21–23, 2025* 📍 *Bordeaux, France* 🔗 Program : https://iutdijon.u-bourgogne.fr/ccs-france/program_/ This year’s edition brings together a vibrant mix of research and community, including: - 5 keynote speakers: Caterina A. M. La Porta, Mikko Kivelä, Elsa Arcaute, Ulrik Brandes, and the René Thom Award presentation - 3 workshops on timely topics in complex systems - 8 oral sessions and 2 poster sessions - Welcome reception, gala dinner, and awards Whether you're presenting or simply passionate about complex systems, we’d love to see you in Bordeaux! 🎟️ Registration is open: 🔗 : https://iutdijon.u-bourgogne.fr/ccs-france/registration/ Please share with your network — and get ready for three inspiring days of science and exchange! Warm regards, The FRCCS 2025 Organizing Committee

April 24, 2025

Workshop of Ideas in Neuroscience - Decoding the Brain: from methods to meaning, June 2-4th

by Mateusz Kostecki

Hello! We are super happy to announce the next *Workshop of Ideas in Neuroscience, that will take place **at the Paris Brain Institute, June 2–4th.* This time, the topic is *Decoding the brain: from methods to meaning*. Applying machine learning and other models to decode behavioral parameters from neural activity is now a standard procedure in neuroscience. These approaches are often used to demonstrate that a specific neural population processes information related to behavior, or that certain patterns of brain activity represent external stimuli. However, this framework has not been without its critics. The notion that the brain’s primary role is to encode and decode information has been questioned by neuroscientists and philosophers alike. Ambiguity often surrounds the concept of "encoding," including what is meant by it and the criteria required for neural activity to be considered as encoding a particular feature. The aim of this workshop will be to perform an in-depth analysis and discussion of this framework and see examples of how, when, and why it should be applied – or challenged. With our speakers, we will try to trace different meanings of "encoding", discuss shortcomings of methods applied to decode information from neural signals – and how those considerations can improve our experiments! *Our speakers are:* - Mazviita Chirimuuta (University of Edinburgh) - Henry Yin (Duke University) - Romain Brette (Institute of Intelligent Systems and Robotics) - Farid Zahnoun (University of Antwerp) - Heike Stein (Sorbonne Université Paris) The workshop will follow the tradition of our *Schools of Ideas in Neuroscience*, with long, in-depth talks, discussions, and interactions in an informal environment! The deadline for application is *May 11th*. Please find more info and the link here – https://nenckiopenlab.org/decoding/. Best, Mateusz Kostecki -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

April 24, 2025

Deadline for Satellite Workshops at the Bernstein Conference 2025 is coming up

by Bernstein Communication

+++ The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops of the Bernstein Conference 2025 in Frankfurt am Main, Germany. +++ ____ 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/ ____ Satellite Workshops Satellite Workshops of the Bernstein Conference 2025 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, 2025 · Monday, Sep 29, 14:00 - 18:30 CEST · Tuesday, Sep 30, 8:30 - 12:30 CEST Main Conference: September 30 - October 2, 2025 Deadline for Satellite Workshop proposal submission: May 7, 2025 – 15:00 CEST Notification of Satellite Workshop acceptance: End of May 2025 ____ For each workshop, the organizers will receive one fee waiver for the Satellite Workshops, which they can award to one of the workshop speakers. We strongly recommend that the waiver is issued under the consideration of aspects of inclusion. ____ INVITED SPEAKERS Alison Barker (Max Planck Institute for Brain Research, Germany) Upinder S. Bhalla (National Centre for Biological Sciences, India) Albert Compte (Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain) Luca Mazzucato (University of Oregon, USA) Tirin Moore (Stanford University, USA) Edvard Moser (Norwegian University of Science and Technology, Norway) Katherine Nagel (NYU School of Medicine, USA) Panayiota Poirazi (Foundation of Research and Technology-Hellas (FORTH), Greece) Viola Priesemann (Max Planck Institute for Dynamics and Self-Organization, Germany) Andreas Tolias (Stanford University, USA) ____ CONFERENCE COMMITTEE Jochen Triesch (Conference Chair) Matthias Kaschube (Conference Host) Tatiana Engel (Program Chair) Tim Vogels (Program Vice Chair) Wiktor Młynarski (Workshop Chair) Katharina Wilmes (Workshop Vice Chair) & Athena Akrami, Nicolas Brunel, Alex Cayco-Gajic, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin. ____ 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), Dr. Stephanie Bauer (stellv. Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

April 24, 2025

Deadline approaching - Valentin Braitenberg Award for Computational Neuroscience

by Bernstein Communication

Dear Colleagues, The Bernstein Network Computational Neuroscience invites nominations for the Valentin Braitenberg Award for Computational Neuroscience. The Valentin Braitenberg Award honors outstanding scientific achievements in the field of computational neuroscience. Following Baritenberg's scientific tradition, special attention is paid to theoretical studies that reveal functional significance of brain structure and their neuronal dynamics. The awardee receives €5.000 prize money, donated by the Autonome Provinz Bozen Südtirol, as well as an invitation to the Bernstein Conference 2025 (including registration fee, travel- and accommodation expenses). The award will be presented together with a Golden Neuron pin in a special award ceremony at the Bernstein Conference, followed by a lecture of the Braitenberg Awardee. Nominations may be submitted by scientists working in the field of computational neuroscience and should include the following documents: - One-page laudation, in which the scientific work of the candidate is honored with regard to the award criteria - CV and list of publications Deadline for nominations is April 30, 2025 by email to a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de> Please note that self-nominations are not permitted. The call for nominations can be found under the following URL: https://bernstein-network.de/en/network/awards-and-initiatives/valentin-bra…<http://www.nncn.de/en/bernstein-conference/2018/braitenberg_award> For inquiries please contact a.stein(a)fz-juelich.de<mailto:a.stein@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), Dr. Stephanie Bauer (stellv. Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

April 23, 2025

Request for Guidance on Computer Vision Integration for Assistive Technology

by Areeba Gull

Dear *Computer Vision Community*, I hope this message finds you well. My name is *Areeba Gull*, a Computer Science student from *Pakistan*, currently working on my *Final Year Project (FYP)*. My goal is to develop an *AI-powered assistive technology* system to support *visually impaired individuals*, with a strong focus on *computer vision* techniques. I would be sincerely grateful for any *resources*, *research papers*, or *expert guidance* related to building effective *CV-based assistive tools*. Suggestions on suitable *models*, *datasets*, or *leading researchers* in this field would be incredibly helpful. Thank you so much for your time and support. Warm regards, *Areeba Gull* Computer Science Student Iqra Girls College, *Pakistan*

April 23, 2025

PhD Position in Computational Neuroscience: Modelling Predictive Error Responses

by Fleur Zeldenrust

*My lab is looking for a PhD candidate in Modelling Predictive Error Responses:* https://www.ru.nl/en/working-at/job-opportunities/phd-position-in-computati… For the NWO project ‘DBI2 <https://dbi2.nl/>’ we are looking for a PhD candidate to study predictive error responses in the auditory cortex. The main goal is to design an experimental approach to distinguish between two alternative theories of predictive coding and processing. Predictive coding and predictive processing are compelling theories to explain brain function. The idea that the brain continually maintains and updates an internal model of the outside world, and compares the incoming input with the expectations generated by this model, can explain many phenomena including adaptive behaviour and sensory effects such as oddball responses. However, until now there is no consensus on how such predictive coding could be implemented in real neural tissue. Importantly, there are two alternative theories on how error signals in predictive processing could be coded in neural signals: either as (1) top down signals from ‘higher order’ brain areas (hierarchical predictive coding, [2]) or (2) local signals, resulting in membrane potentials reflecting error signals ([3], for a review, see [1]). The goal of the research presented here, under the primary supervision of Dr Zeldenrust, is to design an experimental approach to distinguish between these two theoretical approaches. Measuring error signals in neural tissue is experimentally challenging. Therefore, a direct exchange between theory and experiment is needed, so that hypotheses and specific predictions about which neurons to record from and stimulate and the results expected can be quickly updated for the design of optimal experiments. The student will work in close collaboration with the Englitz lab, so that there is a direct link between modelling, data analysis and experiment. As a PhD candidate you will use data on oddball paradigms [4,5], which provide the ability to directly observe predictions and distinguish them from prediction errors. The data are a combined approach of widefield imaging of the entire auditory cortex with local and layer-specific imaging using 2-photon recordings in the same animals. To directly test the top-down hypothesis, neurons in subareas of the prefrontal cortex will be transfected with an inhibitory opsin (eNpHR3.0) to modulate their top-down influence. You will develop a model of the hierarchical interaction between the auditory cortex and the prefrontal cortex, in which error signals are either coded as top-down (theory 1) or local (theory 2). You will use this model to formulate testable predictions, distinguishing theory 1 from theory 2. These predictions will be tested by both analysing existing data from the Englitz lab and formulating new experimental paradigms that are suitable to distinguish between the local and top-down hypothesis. [1] N’dri, A. W., Gebhardt, W., Teulière, C., Zeldenrust, F., Rao, R. P. N., Triesch, J., & Ororbia, A. (2024). Predictive Coding with Spiking Neural Networks: A Survey (arXiv:2409.05386). arXiv. https://doi.org/10.48550/arXiv.2409.05386 [2] Rao, R. P. N., & Ballard, D. H. (1999). Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects. Nature Neuroscience, 2(1), 79–87. [3] Zeldenrust, F., Gutkin, B., & Denéve, S. (2021). Efficient and robust coding in heterogeneous recurrent networks. PLOS Computational Biology, 17(4), e1008673. https://doi.org/10.1371/journal.pcbi.1008673 [4] Nieto-Diego, J. & Malmierca, M. S. Topographic Distribution of Stimulus-Specific Adaptation across Auditory Cortical Fields in the Anesthetized Rat. (2016) PLOS Biol. 14, e1002397 [5] Lao-Rodríguez, A. B. ... Englitz B, (2023) Neuronal responses to omitted tones in the auditory brain: A neuronal correlate for predictive coding. Sci. Adv. 9, eabq8657 *Profile* - You hold an MSc degree in computational neuroscience, mathematics, physics, computer science, AI or a similar computational field. - You have experience in developing models (preferably in computational neuroscience) and can perform simulations, analytical derivations and advanced data analysis. - You are a highly motivated, independent, critical, and creative researcher who wants to bridge the gap between real data and abstract theoretical models. - You are a team player, ready to collaborate in a diverse, multidisciplinary research group. - You have an excellent command of spoken and written English. - You have experience in coding (Python and/or Matlab). You will be appointed at the Biophysics of Neural Computation group <https://www.ru.nl/en/departments/donders-centre-for-neuroscience/biophysics…>, Donders Centre for Neuroscience <https://www.ru.nl/en/donders-centre-for-neuroscience>, Donders Institute for Brain, Cognition and Behaviour. <https://www.ru.nl/en/donders-institute> This vibrant and multidisciplinary institute studies the organisation and function of neural circuits across scales and techniques, from genes and proteins to behaviour, and from in vitro and in vivo experiments to computational modelling. It is an open and international environment, where young scientists from different backgrounds share a fascination for the interaction between brain structure and function. For PhD candidates, there is a lively graduate school and specialised support. <https://www.ru.nl/en/donders-institute/talent-development/phd-programme> <https://www.ru.nl/en/donders-institute/talent-development/phd-programme>*We offer* - We will give you a temporary employment contract (1.0 FTE) of 1.5 years, after which your performance will be evaluated. If the evaluation is positive, your contract will be extended by 2.5 years (4-year contract). - You will receive a starting salary of €2,901 gross per month based on a 38-hour working week, which will increase to €3,707 in the fourth year (salary scale P). - You will receive an 8% holiday allowance and an 8,3% end-of-year bonus. - We offer Dual Career Coaching. The Dual Career Coaching assists your partner via support, tools, and resources to improve their chances of independently finding employment in the Netherlands. - You will receive extra days off. With full-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20. -- Fleur Zeldenrust Associate Professor Donders Institute for Brain, Cognition and Behaviour Donders Centre for Neuroscience Faculty of Science, Radboud University Heyendaalseweg 135, room HG 00.111 6525 AJ Nijmegen, the Netherlands tel +31 24 36 53195 fleurzeldenrust.nl Due to my own family/work balance, you may receive emails from me outside of normal working hours. I do not expect a response from you outside of your own working pattern, nor do I expect an immediate response when you are working.

April 22, 2025

6th International Conference on Mathematics of Neuroscience and AI (Split, Croatia, 27-30 May 2025) - abstract submission and attendance still open!

by Battleday, Ruairidh

6th International Conference on Mathematics of Neuroscience and AI (Split, Croatia, 27-30 May 2025) - abstract submission and attendance still open! —--------- Just under 6 weeks left until this year’s Conference on Mathematics of Neuroscience and AI! In this high-profile conference, we profile foundational research into the basis of intelligence from the perspective of neural data, neural theory, cognitive science, and machine learning & artificial intelligence (AI). www.neuromonster.org Thank you to all those that have submitted—the quality has been exceptional. - Abstract submissions are rolling - Student admission $50 - General admission $100 Keynote Speakers Professor Wolfgang Maas (Graz), Professor Eve Marder (Brandeis), Professor Jay McClelland (Stanford), Professor Christine Constantinople (NYU), Dr Kim Stachenfeld (DeepMind), Professor Kanaka Rajan (Harvard), Dr Ida Momennejad (Microsoft Research), Professor Jacob Foerster (Oxford / Meta). Invited Speakers Professor Alex Cayco-Gajic (ENS) Dr Jenelle Feather (Flatiron Institute) Dr Joao Barbosa (Institute for Neuromodulation) Tejas Ramdas (Harvard) Professor Vijay Namdoodiri (UCSF) Professor Annegret Falkner (Princeton) Dr Chris Hillar (New Theory AI) Dr Juan Gallego (Imperial) Professor Bonan Zhao (Edinburgh) Professor Lisa-Marie Vortmann (Groningen) Felix Sosa (Harvard) Dr Mathias Sablé-Meyer (Harvard / MIT) Dr Lio Wong (MIT) Dr Chen Sun (Mila) Session Chairs Dr Valeria Fascianelli (Columbia; Neural data) Dr Francesca Mignacco (CUNY & Princeton; Neural data) Dr James Whittington (Oxford & Stanford; Neural theory) Dr Maria Eckstein (DeepMind; Cognitive science) Mikey Lepori (Brown & DeepMind; Machine learning & AI) Location The conference will be held in the ancient port town of Split, Croatia, on the Dalmatian Coast. Submissions The submission format is an abstract of 250 words, and we invite submissions for each session via the following Google form: https://forms.gle/a9JDH5B4Z5otS69Y7 These will be accepted for poster, with the best 6 papers in each session category given an additional spotlight talk. We have a very open acceptance policy, and are happy to hear about relevant work that has been submitted to other events. We look forward to seeing you there! The Organizing Committee. Dr Ruairidh McLennan Battleday (Harvard & MIT) Dr James Whittington (Oxford & Stanford) Dr Ivana Kaljc (DeepMind) Professor Dan V. Nicolau Jr (Kings College London) -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

April 21, 2025

World wide VVTNS series (fifth season): Wednesday, April 23, 2025, at 11:00 am EDT| Daniel Durstewitz, Central Institute of Mental Health, Mannheim

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Daniel Durstewitz Central Institute of Mental Health, Mannheim Learning generative dynamical systems models from multi-modal and multi-animal neuro-data The lecture will be held on zoom on Wednesday, April 23, 2025, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *For decades dynamical systems theory played a pivotal role in theoretical and computational neuroscience, as it links biophysical and biochemical processes to neural computation. In fact, dynamical systems are computationally universal. Rather than hand-crafting computational theories of neural function based on dynamical systems, recent developments in scientific machine learning (ML) and AI suggest that we may be able to infer such dynamical-computational models directly from neurophysiological and behavioral observations. This is called dynamical systems reconstruction (DSR), the learning of generative surrogate models of the underlying dynamics, including its long-term temporal and geometrical properties, from time series data. In my talk I will cover recent ML/AI architectures, training algorithms, and validation procedures for DSR. I will discuss specifically how recent AI architectures for DSR can integrate neuroscience data from multiple modalities (like multiple single-unit recordings and behavioral choices), across diverse time scales, and across many different animals and task designs, into a joint DSR model. This provides first steps toward dynamical systems based AI foundation models for neuroscience. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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.* ᐧ

April 20, 2025

Postdoc and PhD position Computational Neuroscience Bern, Switzerland

by walter.senn＠unibe.ch

Dear all We are pleased to announce the opening of postdoc or PhD position in computational neuroscience at the University of Bern. For a detailed description see below. Besides the top research in our groups, you will find in the capital of Switzerland a beautiful city with lots of opportunities to enjoy together nature and mountains. Best wishes Walter Postdoc or PhD position on cortical self-attention The Senn lab<https://physiologie.unibe.ch/~senn/group/> offers a Postdoc<https://physiologie.unibe.ch/Positions/AnnouncementSenn12.aspx> or PhD position<https://physiologie.unibe.ch/Positions/AnnouncementSenn13.aspx> on a computational model of cortical self-attention<https://arxiv.org/abs/2504.06354> (supported by EBRAINS 2.0). Based on our current work and a collaboration with The Virtual Brain<https://www.ebrains.eu/modelling-simulation-and-computing/simulation/whole-…> (Marmaduke Woodman), we seek for an implementation of neuronal self-attention mechanisms in thalamo-cortical circuits. The model is inspired by transformer-type architectures, but is consistent with experimentally observed cortical connectivity patterns. It shall be trained on cognitive tasks while being constrained to human cortical recordings. Postdoc or PhD position on the Neuronal Least-Action principle The Senn lab<https://physiologie.unibe.ch/~senn/group/> also offers a Postdoc or PhD position on the Neuronal Least-Action principle<https://elifesciences.org/reviewed-preprints/89674> and its extention to long-term temporal processing and spikes (supported by the SNSF). The framework offers a rigorous description of the neuronal dynamics in cortical networks together with gradient-based synaptic learning rules. It will be applied to integrate-and-fire neurons with multiple intrinsic time constants. The project links to implementations in spike-based neuromorphic hardware. Ideal candidates for all positions have a strong background in computational neuroscience, machine learning and mathematics. The Postdoc positions start with a contract for 2 years, but are extendable to 3 years. Please send CV, letter of motivation, and publication list latest by April 28, 2025, to walter.senn(a)unibe.ch<mailto:walter.senn@unibe.ch)> and virginie.sabado(a)unibe.ch<mailto:virginie.sabado@unibe.ch>.

April 18, 2025