- Comp-neuro - lists.cnsorg.org

MODVIS 2026 - Call for Papers

by Tim Oleskiw

The 2026 VSS satellite workshop on computational and mathematical models in vision (MODVIS) will be held May 13-14 in St. Pete Beach, FL, the two days immediately preceding the main meeting of the Vision Sciences Society (VSS). This year marks a departure for MODVIS: VSS will replace Purdue University in administering the workshop. MODVIS registration will be conducted through the VSS website, and the registration deadlines will align with those of VSS. The program consists of contributed oral presentations, which are longer and more interactive than a regular VSS talk, and the schedule is designed to provide many opportunities for discussions during coffee breaks and a generous lunch break. The workshop will conclude on Thursday with a keynote lecture by Jonathan Victor (Weill Cornell Medical College). As in the past, submission deadlines will be later than those for VSS, and post-deadline submissions will be accepted on a space-available basis. Abstract submissions will be made through the VSS website, with submissions opening in the coming weeks. MODVIS welcomes submissions covering the modelling of any area of vision. More information can be found on the (new) MODVIS website: https://www.modvis.org. On behalf of the MODVIS organizing committee, -Tim Oleskiw Assistant Professor University of Regina

Dec. 6, 2025

AREADNE 2026 Call for Abstracts

by John Pezaris

****** CALL FOR ABSTRACTS ****** AREADNE 2026 Research in Encoding and Decoding of Neural Ensembles 23-27 June 2026 Eliopoulos Conference Center Milos, Greece Celebrating 20 Years of AREADNE Conferences http://areadne.org info(a)areadne.org INTRODUCTION A fundamental problem in neuroscience is to understand how the activation of neuronal populations gives rise to higher order functions including learning, memory, cognition, perception, action and ultimately conscious awareness. Electrophysiological recordings have revealed considerable information about the firing patterns of single neurons, but it remains largely a mystery how collections of individual neurons interact to perform these functions. Understanding ensemble activity is critical to understanding the brain. CONFERENCE MISSION The AREADNE Conferences have been created to gather global scientific leaders who work on neural ensembles and establish a touch-point for the widely disparate and hybrid field. With a beautiful setting on Milos, the conferences have been carefully planned to foster discussion and interaction between attendees to encourage the establishment of lasting professional relationships. The meetings continue our efforts to promote systems neuroscience in Greece through creating a world-class forum for cutting-edge research. For 2026, we will be Celebrating Twenty Years of AREADNE Conferences! FORMAT AND SPEAKERS The conference will span four days, in morning and early evening sessions. Confirmed speakers include experts in the field of multi-neuron experiment, theory, and analysis (in alphabetic order): Jaideep Bains Farran Briggs Mark Cembrowski SueYeon Chung Brent Doiron Manolis Froudarakis Julijana Gjiorgjieva Michael Hauser Michele Insanally Viren Jain Mehrdad Jazayeri Sheena Josselyn Caleb Kemere Jennifer Linden Atila Losonczy Mackenzie Mathis Nina Miolane Bence Olveczky Stephanie Palmer Kanaka Rajan Jennifer Raymond CALL FOR ABSTRACTS We are currently soliciting abstracts for poster presentation. Submissions will be accepted electronically, and must be received by 30 January 2026. Automated email acknowledgment of submission will be provided, and manual verification will be made a few days after submission. Notification of acceptance will be provided by 3 March 2026. Please see our Call for Abstracts page for additional details and submission templates: http://areadne.org/call-for-abstracts ORGANIZING COMMITTEE Dora Angelaki Kenny Blum Nicholas Hatsopoulos, co-chair John Pezaris, co-chair Panayiota Poirazi Thanos Siapas Jiannis Taxidis Andreas Tolias FURTHER INFORMATION For further information on AREADNE 2026 please see the conference web site http://areadne.org or send email to info(a)areadne.org. -- Dr. J. S. Pezaris AREADNE 2026 Co-Chair Harvard Medical School Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA john(a)areadne.org

Dec. 5, 2025

Master 2 computational neurosciences, Lyon (France)

by DI VOLO MATTEO

Dear colleagues, Applications for non-EU students are now open for the Master 2 in Computational Neuroscineces (CNS) at the University of Lyon (France). See our website for more details: https://masterneuro.univ-lyon1.fr/m2-cns/ The Lyon neurograduate school also offers fully funded scholarships to enrol in the CNS program or in other neurosciences training paths. Deadline : 23/01/2026, more information here : https://neurograduate.univ-lyon1.fr/fellowships/ The CNS program in Lyon trains students in modern computational and analytical methods to study the brain: from the electrical activity of single neurons to neural networks, interacting brain regions, and animal behavior. Students learn the principles of brain function by applying statistics, signal processing, and computational modeling to real neuroscientific datasets, gaining extensive hands-on experience through practical Python-based work. The main objective of CNS is to equip students with the skills and critical perspective needed to design, conduct, and interpret analyses of electrophysiological and behavioral data from a mechanistic point of view. Contact info: Matteo Di Volo (matteo.di-volo(a)univ-lyon1.fr<mailto:matteo.di-volo@univ-lyon1.fr>) and Jeremie Mattout (jeremie.mattout(a)inserm.fr<mailto:jeremie.mattout@inserm.fr>)

Dec. 5, 2025

Postdoc and PhD positions in Theoretical Neuroscience and Reinforcement Learning

by Ruben Moreno Bote

Moreno-Bote Lab is ooking for talented PhD students and Postdocs. Project: the foundations of behavior and intelligence. Come to our Comp Neuro lab in Barcelona to study natural and artificial Intelligence. Recent, related articles of the lab: https://www.nature.com/articles/s41467-024-49711-1 https://www.nature.com/articles/s41467-024-50214-2 https://openreview.net/forum?id=OcHrsQox0Z https://proceedings.neurips.cc/paper_files/paper/2024/hash/df0e4ffa41062ca0… Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain 1 fully funded PhD position and 1 fully funded Postdoc position are available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of the Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: flexible -- Rubén Moreno Bote Serra Húnter Full Professor and ICREA Academia Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Engineering University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://sites.google.com/view/morenobotecompneuro https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca> -- Rubén Moreno Bote Serra Húnter Full Professor and ICREA Academia Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Engineering University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://sites.google.com/view/morenobotecompneuro https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

Dec. 4, 2025

Neuroinformatics Unit Open Software Summer School, August 2026 in London

by Nikoloz Sirmpilatze

Applications are now open for the second Neuroinformatics Unit Open Software Summer School (OSSS) <https://neuroinformatics.dev/open-software-summer-school/index.html>, August 17-28 2026 in London, U.K. Join us for one or two of the following tracks: Animals in Motion (analysing video behavioural data) Large Array Data (how to handle large data in Python) BrainGlobe (species-agnostic computational neuroanatomy) Extracellular Electrophysiology (using SpikeInterface to process probe data) Each week starts with a symposium on the Monday afternoon, followed by 3 days of hands-on training, then 2 days of collaborative hacking, bringing together researchers and engineers to use, and improve neuroscience open source software. Please share with anyone who may be interested! Financial support is available. Apply now: https://neuroinformatics.dev/open-software-summer-school Kind regards, Niko Sirmpilatze NIKOLOZ SIRMPILATZE MD PhD Senior Research Software Engineer Neuroinformatics Unit Sainsbury Wellcome Centre & Gatsby Computational Neuroscience Unit University College London nikosirmpilatze.com

Dec. 4, 2025

Postdoc position for biophysical modeling and measurement of TMS effects

by Thomas Knoesche

The Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig, Germany, is an internationally recognized research institute of the Max Planck Society and is dedicated to the study of human cognitive abilities and brain processes as well as the development of neuroimaging methods. The Brain Networks Group led by Professor Thomas Knösche offers a Postdoc position (m/f/d) for 3 years. The successful candidate will work on a DFG funded project that is dedicated to the investigation of the working mechanisms underlying the effects of transcranial magnetic stimulation (TMS) of the human motor cortex using advanced electrophysiological measurement techniques combined with biophysical modeling. The project will be carried out in cooperation between the Leipzig University of Applied Sciences, the Czech Academy of Sciences, and the MPI-CBS. Candidates should hold a PhD degree and have a background in engineering, computer science, neuroscience, physics, or similar, as well as a keen interest in neuroscience. Good computer programming skills (e.g., C++, Matlab, Python) are necessary. The ideal candidate would have experience in EEG or MEG (or similar) experimenting, data analysis, and modeling. Prior exposure to volume conduction modeling and/or source analysis would be beneficial. The Institute offers a world-leading research environment with outstanding facilities and research infrastructure (five MR scanners, including a 3T Connectom and 7T Terra.X; MEG; EEG; TMS). The Brain Networks group is dedicated to the development of methods to investigate, model, and understand brain networks and how they give rise to human behavior and cognition. Current projects are centered around non-invasive brain stimulation of the motor system, sensory perception, the relation between human cognition and machine learning, and others. The position is offered for three years. Starting date is in principle flexible, while we aim to get started as soon as possible. The salary is fixed in accordance with the collective agreement for the public sector: TVöD E13. We look forward to receiving your complete online application (reference number “PostDoc 16/25”). Please submit through the online application system on the MPI-CBS website: (1) a statement describing your research interest and motivation to apply for this position as well as your relevant qualifications (max. 2 pages), (2) a full CV, (3) transcript of records for the master and bachelor degrees, and (4) names and contact details of up to two potential referees. There is no formal closing date for the application – it will remain open until filled. Please feel free to contact Prof. Dr. Thomas R. Knösche (knoesche(a)cbs.mpg.de) for informal enquires about the position. The Max Planck Society seeks to employ more people with disabilities and strongly encourages them to apply. Furthermore, we actively support the compatibility of work and family life. The Max Planck Society strives for gender equality and diversity. -- Prof. Dr. Thomas R. Knösche Brain Networks (@brainnetleipzig) Max Planck Institute for Human Cognitive and Brain Sciences Stephanstraße 1A 04103 Leipzig Germany Tel +49 341 9940 2619 Fax +49 341 9940 2624 knoesche(a)cbs.mpg.de http://www.cbs.mpg.de/~knoesche

Dec. 4, 2025

Konstanz School of Collective Behavior 2026 ( Deadline: March 15th, 2026)

by Ahmed El Hady

*Konstanz School of Collective Behaviour 2026* *Konstanz, Germany * *20th July 2026 – 7th August 2026 *** *Deadline to apply: March 15th, 2026* The Konstanz School of Collective Behaviour (KSCB) <https://www.exc.uni-konstanz.de/kscb/about/> will take place between 20th July – 7th August 2026 at the Cluster of Excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over three weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviours across a variety of species from cells, worms, drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behaviour will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty and tutors. The Konstanz School of Collective Behaviour is intended for graduate students, doctoral researchers, and early postdoctoral researchers. We consider applicants with strong quantitative background including but not limited to physics, computer science, mathematics and engineering. Applicants with biological and experimental background will be considered if they demonstrate in their application extensive quantitative and mathematical background as the focus of the school is quantitative study of collective behaviours. Accommodation will be provided and paid by the organizers. A limited number of travel support will be provided and a registration fee will be due (500 Euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. The submission of applications for the fourth Konstanz School of Collective Behaviour is currently open until March 15, 2026. We will inform the applicants during the month of April whether their application was successful For further information about the school and the application procedure , visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ _ *KSCB 2026 faculty : * ·Anastasia Bizyaeva ( Cornell University, USA) ·Iain Couzin ( University of Konstanz / Max Planck Institute of Animal Behavior) ·Einat Couzin-fuchs ( University of Konstanz ) ·David Garcia ( University of Konstanz ) ·Dan Gorbonos ( Holon Institute of Technology, Israel and Max Planck Institute of Animal Behavior) ·Stefan Krapitscka ( University of Konstanz ) ·Zachary Kilpatrick ( University of Colorado Boulder, USA) ·Liang Li ( Max Planck Institute of Animal Behavior) ·Yonatan Loewenstein ( Hebrew University of Jerusalem, Israel) ·Ran Nathan ( Hebrew University of Jerusalem, Israel ) ·Mor Nitzan ( Hebrew University of Jerusalem, Israel) ·Britta Renner ( University of Konstanz ) ·Allyson Sgro ( Janelia Farm Research Campus, Virginia, USA) ·Joshua Shaevitz ( Princeton University, USA) ·Ariana Strandburg-Peshkin ( Max Planck Institute of Animal Behavior) ·Katrin Vogt ( University of Konstanz ) *In case you have any questions, please contact: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de>** * All the best regards, Ahmed El Hady On behalf of the KSCB organizational committee Dr. Ahmed El Hady Principal Investigator Cluster for Advanced Study of Collective Behavior, University of Konstanz Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

Dec. 2, 2025

Research Fellow / Postdoc positions in TMS modeling - ICS CAS (Czechia)

by Vincent Chien

* Research Fellow / Postdoc positions in TMS modeling There is an open position for a Research Fellow / Postdoctoral position in Computational Neuroscience within the TMSmodel project, jointly led by Konstantin Weise (HTWK, Leipzig), Thomas R. Knösche (MPI-CBS, Leipzig), and Vincent S.C. Chien (CAS, Prague). The goal of the project is to develop a comprehensive biophysical model that explains the dependence of motor-evoked potentials (MEPs) recorded from hand muscles, as well as D-I-waves measured from the spinal cord, on the parameters of Transcranial Magnetic Stimulation (TMS). The successful candidate will join the Complex Networks and Brain Dynamics group and will focus on (1) transmission of action potential volleys along spinal and peripheral axon bundles, (2) modeling the spinal cord circuitry and muscle activation, and (3) fitting and evaluating the model against electric recordings. * Research Teams COBRA Lab (Czech Academy of Sciences): https://cobra.cs.cas.cz/ Brain Networks Group (Max Planck Institute): https://www.cbs.mpg.de/methods-and-development-groups/brain-networks * Job Details & Application Link https://www.cs.cas.cz/job-offer/Research-fellow-postdoctoral-positions-Chie… Sincerely, Vincent Chien, Ph.D. Department of Complex Systems, Institute of Computer Science, Czech Academy of Sciences

Dec. 2, 2025

Fully-funded PhD positions in Human & Machine Intelligence (Neuro & AI) at Boston College

by Momchil Tomov

How does the brain support adaptive decision making in the real world? Recent advances in AI have provided us with models that rival humans on challenging naturalistic tasks and can serve as starting points for tackling this question head-on. At the same time, as frontier AI labs push the limits of scaling laws, many doubt whether more data and compute alone will lead to human-level learning, planning, and generalization. The new *Human & Machine Intelligence Lab* at *Boston College* is recruiting *1-2 PhD students* to work on reverse-engineering naturalistic learning and decision making in the brain. Specifically, we aim to understand: 1. How the human brain *learns* internal models of complex, naturalistic environments. 2. How it uses these models to *plan* toward distant goals. 3. How it *generalizes* this knowledge to new environments. Building on recent work in theory-based RL [1], you will tackle these questions by leveraging state-of-the-art AI models (e.g., DDQN, MuZero, LLMs/VLMs) to analyze behavioral, fMRI, and MEG data from human subjects engaging in rich tasks, such as learning to play new video games. You will also have the opportunity to design and conduct experiments (behavior/fMRI/MEG) to test your hypotheses. The lab is led by *Momchil Tomov* (starting in Fall 2026) and is joint between the *Department of Psychology & Neuroscience* and the *Department of Computer Science*. *Why Boston College?* Boston College is an elite R1 research institution in the heart of the Boston metropolitan area. Greater Boston is a powerhouse of innovation, home to over 35 colleges and universities – including Harvard and MIT – and a thriving ecosystem of AI & biotech startups. As a PhD student, you will be immersed in this vibrant research community while enjoying the benefits of living in a diverse, bustling metropolis. For the outdoors-inclined, New England offers scenic opportunities to escape city life: from sailing on the Charles River, to hiking or skiing in the White Mountains, to surfing off the shores of Rhode Island, to enjoying freshly caught oysters on Cape Cod. *Position Details* - Lab: Human & Machine Intelligence - PI: Momchil Tomov - Website: www.momchiltomov.com - Contact: mtomov+compneuro(a)g.harvard.edu - Stipend: $45,000 / year (fully-funded) - Start date: September, 2026 *Application* - Deadline: *December 15, 2025* - Department of Psychology & Neuroscience: [*APPLY HERE <https://www.bc.edu/content/bc-web/schools/morrissey/departments/psychology-…>* ] - Department of Computer Science: [*APPLY HERE <https://www.bc.edu/bc-web/schools/morrissey/departments/computer-science/ac…>* ] *Requirements* The ideal candidate has experience with state-of-the-art RL models/LLMs/VLMs and/or experience analyzing behavioral/neural data. Experience collecting fMRI/MEG data is a plus. Please do not hesitate to reach out with questions! We also encourage you to forward this to anyone who might be interested. *References* [1] Tomov, M. S., Tsividis, P., Pouncy, T., Tenenbaum, J. B., Gershman, S. J. (2023). “The neural architecture of theory-based reinforcement learning.” *Neuron* 111 (2): 454-469. https://doi.org/10.1016/j.neuron.2023.01.023

Nov. 30, 2025

Call for Registration: Physics and the Self Interdisciplinary Conference at Senate House, London

by Jonathan Emery

Conference theme: “Physics and the Self: Interdisciplinary Perspectives” Dates: Saturday 13th and Sunday 14th December 2025, 09:30-18:00 GMT Venue: Woburn Suite, Ground Floor, Senate House, Malet Street, London, WC1E 7HU Host institution: Institute of Philosophy, School of Advanced Study, University of London This interdisciplinary conference will feature presentations from keynote speakers and early career researchers working within neuroscience, physics, and philosophy departments whose work engages with the theme “Physics and the Self: Interdisciplinary Perspectives”. Speakers will pitch their talks at a level accessible to non-specialists, to promote interdisciplinary collaboration. We invite anyone with an interest in our conference theme to attend the two-day event, participate in the Q&As, and meet the speakers and organisers. Registration is required. Please click here for further information including the programme and the registration link: https://www.sas.ac.uk/news-events/events/physics-self-interdisciplinary-per…

Nov. 29, 2025

Postdoctoral Positions in Decision Neuroscience at Trinity College Dublin

by Konstantinos Tsetsos

The Institute of Neuroscience and the School of Psychology at Trinity College Dublin invite applications for multiple postdoctoral positions based in the Irrationality Lab, led by Prof. Konstantinos Tsetsos. These positions are part of the European Research Council (ERC) Consolidator Grant “The Dynamics of Attribute Weighting in Multiattribute Choice” (DYNATT) awarded to Prof. Tsetsos. The project aims to uncover the neural and computational mechanisms underlying preference variability by asking how the human brain shapes, maintains, and revises preferences for different attributes during decision-making. To achieve the aims of the project, we will combine magnetoencephalography (OPM-MEG), computational modelling, and behavioural paradigms to decode and model multiattribute preferences at high temporal resolution. This approach will provide mechanistic insights on the drivers of preference variability, with potential applications in both clinical and applied behavioural science domains. The successful candidates will design and conduct experiments using MEG, analyse neural and behavioural data, and develop computational models of decision-making. Strong quantitative and programming skills and experience with E/MEG analysis are required. Appointments are available for at least three years, with flexible start dates up to November 2026. Positions will be remunerated according to the IUA salary scales for postdoctoral researchers, commensurate with experience and qualifications. Application deadline: *January 15th 2026*. Informal inquiries are welcome. Information about the lab: https://www.ktsetsoslab.net Further details and how to apply: https://www.ktsetsoslab.net/_files/ugd/01e170_d91c53b13734471d944d528316ea3… >

Nov. 28, 2025

PhD opportunity in computational neuroscience at UPC - BarcelonaTech

by Linus Manubens-Gil

Dear All, I am seeking a candidate interested in applying for an *FPU-UPC PhD fellowship *(see last year's call for reference here <https://talenthub.upc.edu/en/jobs/r1/fpu-upc-2025/fpu-upc-2025>) to work on computational neuroscience. The project can be oriented either toward: 1. *Single-neuron biophysical modeling:* ion-channel dynamics, dendritic and axonal morphology, calcium-dependent plasticity, and large-scale simulations of human and mouse neurons. 2. *NeuroAI:* biologically inspired machine-learning models using realistic neuronal network architecture constraints (see: https://biocomsc.upc.edu/en/tfg-and-tfm-with-us/projects/tfe_neuroia_2025-1… ). Candidates should have solid skills in Python and ideally computational neuroscience modeling (NEURON, Arbor, etc.) or AI background (e.g., PyTorch) and a strong motivation for either direction. Interested applicants should send a *CV + brief statement of interest*. Application deadline (early April 2026). Some time may be necessary to arrange documentation and get preliminary acceptance in the PhD program. Start date (October 2026). With best regards, Linus -- Linus Manubens-Gil Investigator BG Jr <https://www.ciencia.gob.es/en/Convocatorias/2024/BeatrizGalindo2024.html> BIOCOM-SC <https://biocomsc.upc.edu/en/> MERIT MSc. Programme <https://epsem.upc.edu/en/graduate/merit> Dept. EMIT <https://emit.upc.edu/en?set_language=en> Universitat Politècnica de Catalunya BarcelonaTech - EPSEM

Nov. 27, 2025

Fwd: [seminar.wwtns] New recording on the VVTNS YouTube channel: Flexible analog computation in low-rank balanced spiking networks by Alfonso Renart

by David Hansel

[image: VVTNS.png] > > <https://84454458.streak-link.com/Cq-mDg07ey98pEfARQH4qidY/https%3A%2F%2Fwww…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide - on Youtube > New on the VVTNS YouTube Channel https://www.wwtns.online/past-seminars-2025-2026 *Flexible analog computation in low-rank balanced spiking networks* Lecture delivered on November 26, 2025 by Alfonso Renart Champalimaud Centre for the Unknown, Lisbon *Abstract:* Recurrent networks with balanced excitation-inhibition explain a wide range of neurophysiological observations, but can only implement a limited set of transformations on their input. On the other hand networks of firing-rate units with low-rank connectivity have universal computational capabilities, but do not work with spikes or generate noise self-consistently. Although empirical approaches to merge these two computational frameworks have been constructed, there is no established theory describing their unification. Here we develop such a theory. We study analytically and numerically networks with connectivity comprising random “strong”, and low-rank “weak” components. When the low-rank connectivity is slow, a well-defined notion of instantaneous firing rate emerges which implies universal computation as previously shown. However, the fact that such time-varying rates are the result of E-I balance has important implications. We show that internally or externally generated fluctuations along particular latent modes tend to break the E-I balance. Its maintenance is obtained through the emergence of a spontaneous coupling between the mean and the variance of the membrane potential and the norm of the latent state driving these modes. This leads to several predictions, the most counterintuitive of which is that coherent global fluctuations in subthreshold membrane potential (Vm) should coexist with desynchronized activity at constant firing rates when the dynamics of these modes is excited. To test our theory, we show that the coupling between the average Vm and the latent state adds new non-linear dimensions to the low-dimensional manifold of the network, which lead to a frequency doubling when the input to the network is periodic, a prediction that is borne out in population recordings from mouse V1. Our results unify two prevalent frameworks for cortical computation and clarify the relationship between computation, dynamics and geometry in circuits of spiking neurons. *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

Nov. 26, 2025

Call for Contributions: Conference on the Simulation of Adaptive Behavior, 19-22 October, at TU Berlin, Germany

by Sprekeler, Henning

From Animals to Animats 18: The 18th International Conference on Simulation of Adaptive Behavior (SAB 2026) Where: TU Berlin, Germany When: 19-22 October 2026 Website: www.sab-conference.org<http://www.sab-conference.org/> Important Dates Submission deadline: 15 May 2026 Notification of acceptance:19 June 2026 Camera-ready paper version due: 17 July 2026 Conference takes place: 19-22 October 2026 Objectives: The interdisciplinary conference on the Simulation of Adaptive Behavior: From Animals to Animats (SAB) 2026 brings together researchers from artificial intelligence, robotics, behavioral biology, psychology, neuroscience, and many other fields. The conference offers a unique opportunity to exchange ideas across disciplinary boundaries. We believe this exchange is necessary to advance our understanding of the mechanisms that enable general and robust behavior in natural animals and artificial agents. The conference focuses on characterizing and comparing organizational principles and architectures underlying adaptive behavior in animals and animats. Animats denote the conceptual connections between animals and synthetic agents. The conference therefore actively seeks submissions that bridge several of the aforementioned disciplines, combining their methodological foundations to arrive at novel insights and approaches. Of particular interest are research projects which connect natural behavior to synthetic agents, including those leveraging modern machine learning and deep learning techniques for behavioral modeling, analysis, and synthesis. Selected papers will be invited to a special issue in the journal Adaptive Behavior and will be published with Springer Nature. SAB accepts submissions in several tracks: * Conference papers are peer-reviewed. Accepted papers will be published in conference proceedings “From Animals to Animats 18: SAB 2026” Lecture Notes in Artificial Intelligence, Springer Nature. * Conference papers without inclusion in the proceedings. These papers will undergo a light peer-review. Papers will be included on the conference website but they will not be formally published so that your research results can still appear in your disciplinary journals. * Poster abstracts are peer-reviewed for general suitability of the content. Accepted posters will be presented at a poster session and, time permitting, will be able to present a spotlight presentation to the conference attendees. * Position papers are peer reviewed; they offer a novel, visionary perspective on the convergence of different branches of behavior-based research in both artificial and biological systems. These papers are supposed to trigger a lively discussion. * Workshop or Tutorial proposals will be peer reviewed. Workshops and Tutorials will take place on September 20. The event should be relevant to the expected audience of SAB. Topics of interest: * Artificial Intelligence, Artificial Life, and Computational neuroscience * Action selection, behavioral sequencing * Communication and language * Emotion and motivation * Internal models and representations * Reinforcement learning * Sensory-motor coordination, motor control * Software agents and virtual creatures * Philosophical Issues * Consciousness * Ethics * Mind/Body problem * Robotics * Autonomous robotics * Bio-inspired and hybrid robotics * Cognitive robotics * Developmental robotics * Humanoid robotics * Navigation and mapping * Neurorobotics * Self-Organizing Systems * Body and brain co-evolution * Collective and social behavior * Dynamical systems approaches * Evolutionary and co-evolutionary approaches * Self-assembling and self-replication Paper and Abstract Submission: Author Guidelines for All Tracks All submissions must be written in English and formatted in the Springer LNCS style. Please refer to the LNCS Springer style guide<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…> for style templates and formatting instructions. We strongly encourage authors to prepare papers using LaTeX. The LNCS package for LaTeX and the instructions file can be downloaded directly from Springer’s website. Additional Guidelines for Conference and Position Papers All submitted papers (conference papers with and without inclusion in the proceedings, as well as position papers) must not exceed 12 pages, including references. Additional Guidelines for Poster Abstracts All submitted poster abstracts must not exceed 3 pages, including references. How to Submit All submissions will be handled through the CMT (Conference Management Toolkit) system. Authors must create a CMT account before submitting their paper. (For instructions: visit our website<https://sab2026.scioi.de/call-for-contributions/>.) Where to Submit SAB submission website (CMT)<https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FSAB2026%2FSubmi…> Paper Review & Acceptance: All submitted full papers will be peer-reviewed based on relevance, originality, quality of presentation, and technical quality. The authors of all accepted papers are kindly requested to revise their papers following the reviewers’ comments. Authors of accepted papers will be invited to present their research work either as an oral presentation or as a poster. Workshop Tutorial Proposals: We will consider proposals for workshops and tutorials. Workshops and tutorials will be held on the first day of the conference (19 October 2025) and must be held in-person. Proposals will be reviewed by the Organizing Committee. To submit a workshop or tutorial, please follow the below template and submit here: CMT Portal<https://cmt3.research.microsoft.com/SAB2026/Track/6/Submission/Create> Template Similar to paper submissions, please follow the LNCS Springer style guide<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…> for templates and formatting instructions. For your workshop or tutorial proposal, please include the following information, as displayed on our website<https://sab2026.scioi.de/call-for-contributions/>. Publication: All accepted papers (oral and poster presentations) will be published by Springer Nature in the Lecture Notes in Artificial Intelligence series<https://link.springer.com/conference/sab>. Program Committee: Francisco Javier Bellas Bouza – Universidade da Coruña Maren Bennewitz – Universität Bonn Marcel Brass – Humboldt-Universität zu Berlin Lola Cañamero – CY Cergy Paris Université Nikolaus Correll – University of Colorado Boulder Richard José Duro Fernández – Universidade da Coruña Heiko Hamann – Universität Konstanz Alex Kacelnik – University of Oxford Jens Krause – Humboldt-Universität zu Berlin Oliver Kroemer – Carnegie Mellon University Poramate Manoonpong – Vidyasirimedhi Institute of Science and Technology Justus Piater – Universität Innsbruck Tony Prescott – University of Sheffield Pawel Romanczuk – Humboldt-Universität zu Berlin Gregor Schöner – Ruhr-Universität Bochum Dylan Shell – Texas A&M University Gaurav Sukhatme – University of Southern California Jochen Triesch – Frankfurt Institute for Advanced Studies Elio Tuci – Université de Namur Myra Wilson – Aberystwyth University Florentin Wörgötter – Universität Göttingen Program Chairs: Oliver Brock – Technische Universität Berlin Jeff Krichmar – University of California, Irvine The conference will be held at Science of Intelligence<https://www.scienceofintelligence.de/>/TU Berlin and the Universität der Künste (UDK), Berlin, Germany. We look forward to welcoming you at SAB 2026! Best regards, SAB Organizing Committee organisers(a)sab-conference.org<mailto:organisers@sab-conference.org> — Prof. Dr. Henning Sprekeler Modelling of Cognitive Processes Technische Universität Berlin Bernstein Center for Computational Neuroscience www: https://www.sprekelerlab.org

Nov. 26, 2025

23 RTAIM: "Artificial Intelligence (AI) and Traits of Integrated Psychopathy: a Comparative Analysis"

by steven gouveia

rTAIM (Rebuilding Trust in AI Medicine) Monthly Seminars Seminar #23 Artificial Intelligence (AI) and Traits of Integrated Psychopathy: a Comparative Analysis | Mariana Olezza (University of Buenos Aires, Argentina) We are happy to announce the forthcoming 23rd rTAIM Online Seminar, with the participation of Mariana Olezza (University of Buenos Aires, Argentina) on the 25th November 2025, 19h00-20h30 (Lisbon Time Zone), via Microsoft Teams. ONLINE | Link Microsoft Teams<https://teams.microsoft.com/meet/32764207191669?p=CoVDpglNlFU2nuv7PD> #Seminar 23: This talk will address the issues raised in the following structure: Chekley., (1988); Lilienfeld et al., (2015); Mathieu et al., (2014); Persson & Lilienfeld., (2019); Rahman., (2012) argue that some people might have psychopathic traits and still function in society as part of a normal life—that is, the “integrated psychopath.” This is paralleled in Large Language Models (LLMs) (Vaswani et al., 2017) and Reinforcement Learning (RL)–based recommendation systems (Nie, 2025). The behavior has its distinct set of attributes: 1) Promising users all the goods but not living up to any of them—similar to hallucinations in RL–based LLMs (Huang et al., 2023)—Users were cheered up by “flattery” (one type of hallucination). 2) These systems seem devoid of any emotions, but they mimic emotional reactions, especially positive social emotions, similarly to the way human scammers do (Wang et al., 2021), in the absence of guilt and shame 3) Chekley also includes the notion of “semantic aphasia” in this regard, or fluent speech but with no real semantic comprehension—a feature which can still be inferred in LLMs on a deeper level, although inasmuch as they have no consciousness, no moral consciousness can be inferred. Short bio: Mariana Olezza is an Argentinian Computer Engineer (National University of Córdoba), pursuing a PhD in Philosophy (University of Buenos Aires). Some research areas of interest: philosophy of AI/Mind/Psychiatry/Abduction. She recently worked at Infosys in the field of “Semantic entropy and hallucinations in LLMs” theoretically and practically. rTAIM (Rebuilding Trust in AI Medicine) Monthly Seminars are online seminars open to anyone in the world that would like to present her/his current research on topics associated with the main theme of the project. rTAIM Seminars: https://ifilosofia.up.pt/activities/rtaim-seminars https://trustaimedicine.weebly.com/rtaim-seminars.html Organisation: Steven S. Gouveia (MLAG/IF) Mind, Language and Action Group (MLAG) Instituto de Filosofia da Universidade do Porto – UID/00502/2025 Fundação para a Ciência e a Tecnologia (FCT) ____________________________________________ Instituto de Filosofia (UI&D 502) Faculdade de Letras da Universidade do Porto Via Panorâmica s/n 4150-564 Porto Tel. 22 607 71 80 E-mail: ifilosofia(a)letras.up.pt<mailto:ifilosofia@letras.up.pt> http://ifilosofia.up.pt/

Nov. 24, 2025

PhD Positions in NeuroAI at the University of Birmingham

by Jian Liu

The lab of Dr Jian Liu invites applications for several PhD positions at the interface of computational neuroscience and machine learning, at the School of Computer Science and Centre for Human Brain Health at the University of Birmingham. Candidates with a quantitative background are welcome to apply. We are seeking highly motivated candidates with a spirit of intellectual curiosity. The positions will come with competitive work conditions. Generous traveling budgets are available. The following application is approaching the deadline, while other funded projects are open for applicants. Towards a functional model for motor sequence planning Secondary Supervisor(s): Dr Katja Kornysheva <https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/kkornysheva> University of Registration: University of Birmingham BBSRC Research Themes: Understanding the Rules of Life (Neuroscience and Behaviour <https://warwick.ac.uk/fac/cross_fac/mibtp/phd/understanding_the_rules_of_li…> ) *DDL: 27/11/2025* Project Outline Motor planning, the cognitive process that precedes voluntary movement, is essential for executing skilled actions. Uncovering the neural mechanisms behind motor planning is key to understanding how the brain coordinates complex, sequential behaviours. This research will investigate the neural dynamics involved in motor planning, with an emphasis on how the brain organizes and prepares motor sequences. Previous studies suggest that neural competitive queuing of ordinal structures plays a central role in skilled sequential actions [1], allowing the brain to resolve competition between movements. Furthermore, recent research highlights the use of expansive null-space representations in motor cortex of non-human primate, which prepare movements while preventing premature execution [2]. Building on these insights, this project will explore how neural networks within the brain coordinate motor planning, focusing on exploring neural dynamics in different parts of brain areas. Human recordings conducted at the CHBH provide a rich foundation of experimental data for this study. The data, gathered through different modalities, will inform the development of a theoretical model that is consistent with both these new datasets and previously published results. The project will also involve designing new experiments based on the model’s theoretical predictions to validate or refine the proposed framework. By integrating advanced neural network models, we aim to build a comprehensive modelling framework of motor sequence planning that aligns with experimental findings. These models will provide valuable insights into human motor sequence planning, offering a deeper understanding beyond current non-human primate studies. [1] Kornysheva, et al. Neural competitive queuing of ordinal structure underlies skilled sequential action. Neuron 101, 11-15 (2019) [2] Churchland and Shenoy, Preparatory activity and the expansive null-space. Nat. Rev. Neurosci. 25 (4), 213-236 (2024) *To Apply:* https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/jliu The School of Computer Science at the University of Birmingham is one of the leading UK institutions for research and teaching in computer science. Our research is ranked 3rd across all UK universities according to the latest UK-wide Research Excellence Framework. Education is ranked 7th in the UK for computer science, according to 2023 tables. While pursuing excellence in research and education, we also aim to optimize our positive impact on society—examples include collaborations with industry partners and charities, commercialisation activities and an extensive wider participation programme. The University of Birmingham is committed to providing equal opportunities for all and offers a range of family friendly policies. We are committed to being an inclusive workplace that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees. If female candidates are selected, the maternity leave will be fully guaranteed and the children care responsibilities will be satisfied (e.g. working in part time). We will also actively promote gender equality in education and employment opportunities through workshops, seminars, webinars, and university open days.

Nov. 24, 2025

IMPRS for Language Sciences PhD Fellowships 2026

by Lam, Kevin

** IMPRS for Language Sciences PhD Fellowships 2026 ** The International Max Planck Research School (IMPRS) for Language Sciences is offering two fully-funded PhD Fellowship for four years (2026-2030) with a preferred start-date in September or October, 2026. The goal of the scheme is to enable young researchers to pursue interdisciplinary research projects in the language sciences, supervised by leading scientists at the Max Planck Institute for Psycholinguistics and its partner institutes at the Radboud University -- the Centre for Language Studies and the Donders Institute for Brain, Cognition and Behaviour. https://www.mpi.nl/ | https://www.ru.nl/cls | https://www.ru.nl/donders Find out more about the Fellowships and read first-hand accounts by our members: https://www.mpi.nl/imprs-phd-fellowships-2026 | https://www.mpi.nl/imprs Share this opportunity on LinkedIn<https://www.linkedin.com/posts/max-planck-institute-for-psycholinguistics_2…>. The application deadline is 5 January, 2026. Thanks in advance. Best wishes from Nijmegen, Dr. Kevin Lam, Graduate School Coordinator http://www.mpi.nl/imprs | https://www.mpi.nl/people/lam-kevin

Nov. 24, 2025

PhD opportunities in computational and theoretical neuroscience at Bocconi University

by Alessandro Sanzeni

Applications are open for the PhD in Statistics and Computer Science at Bocconi University (Milan, Italy). This fully funded four-year program offers an interdisciplinary environment connecting statistics, computer science, and data-driven modeling. Research in neuroscience at Bocconi combines theoretical modeling, drawing from physics and machine learning, with the analysis of experimental data to study how the brain processes information, learns, and remembers. Current projects focus on visual processing and learning mechanisms, in collaboration with experimental groups worldwide. The program is part of a vibrant research community spanning the physics of complex systems and computation, applied AI, and the foundations of machine learning, fostering rich cross-disciplinary exchange. Bocconi University is located in the center of Milan, an international city known for its active research community, cultural life, and quality of living. Further information on faculty and research areas is available on the Department of Computing Sciences website<https://cs.unibocconi.eu/>. Program details and application instructions can be found on the PhD program webpage<https://www.unibocconi.it/en/programs/phd/phd-statistics-and-computer-scien…>. Application deadline: 5 February 2026 Feel free to get in touch for informal inquiries. Alessandro Sanzeni Assistant Professor Department of Computing Sciences Bocconi University, Milan, Italy

Nov. 24, 2025

Jenny Saffran speaking on Thursday, December 4 in Developing Minds global online lecture series

by Jochen Triesch

Dear colleagues, On December 4, the Developing Minds global online lecture series is proud to host Jenny Saffran from Univ. of Wisconsin-Madison, speaking on: "Learning to understand: Statistical learning and language development“. Thursday, December 4, 2025 8:00 am CT (Central Time, USA) 2:00 pm UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/65360492761?pwd=E7EbBT8uMVWgyhBAYAJgLz33R… Meeting-ID: 653 6049 2761 Kenncode: 352501 Abstract: Infants rapidly develop from being naïve listeners, who experience language as a sea of sounds, to understanding their native language(s). How does this remarkable learning process unfold? One potentially useful source of information lies in the statistical patterns that characterize natural languages, which signal structures ranging from phonemes to words to grammatical structures. Beyond merely tracking these patterns, how might infants use statistical regularities to support language development? In my presentation, I will explore the hypothesis that infants exploit statistical regularities in the service of efficiently processing information in their linguistic environments. Short Bio: Dr. Jenny Saffran has been on the faculty of the University of Wisconsin-Madison since she received her Ph.D. in 1997. Her research program focuses on how infants learn, particularly in the domain of language. She is a highly engaged teacher and mentor to students at all levels. Dr. Saffran is the recipient of numerous awards for her scholarship and teaching, including as the inaugural recipient of the Jeffrey Elman Prize for Scientific Achievement and Community Building from the Cognitive Science Society. She was elected to the American Academy of Arts and Sciences in 2015. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

Nov. 21, 2025

Computational Neuroscience graduate training at Penn

by Maria Geffen

The Computational Neuroscience Initiative<https://www.cni.upenn.edu/> at the University of Pennsylvania offers a new program for Interdisciplinary Training in Computational Neuroscience (ITCN) at the doctoral level. The goal of the ITCN is to train a new generation of scientists who will make quantitative links between properties of the brain and properties of the mind. ITCN trainees will learn to use computational methodology to interpret experimental results, build predictive models of brain function that inform the design of the experiments, and support an ever-growing list of applications from brain-machine interfaces in the clinic to cutting-edge forms of artificial intelligence. The ITCN brings together students and faculty<https://www.cni.upenn.edu/people> from Penn’s PhD programs in Neuroscience<https://www.med.upenn.edu/ngg/> (Biomedical Graduate Studies, Perelman School of Medicine), Bioengineering<https://be.seas.upenn.edu/doctoral/> (School of Engineering and Applied Science), Physics<https://www.physics.upenn.edu/graduate/> (School of Arts and Sciences), and Psychology<https://psychology.sas.upenn.edu/graduate> (School of Arts and Sciences). To join the ITCN, students first apply to one of those "home" PhD programs. Once admitted, students then typically apply to the ITCN before starting classes in their first year. Those selected meet with the ITCN Advisory Committee, both individually and as a group, to develop individualized training plans that meet the goals and requirements of the ITCN and each student’s home program. These plans include coursework, research, and other activities that aim to build both expertise in computational neuroscience and a sense of community in the ITCN. Details are provided below. The ITCN embraces diversity and inclusion in their many forms, including welcoming students with a broad range of personal, professional, and academic backgrounds into both our training program and the field of computational neuroscience as a whole. Application. The application deadline is Dec. 1 for the Neuroscience<https://apply.med.upenn.edu/apply/>, Psychology<https://apply.graduateadmissions.upenn.edu/apply/> and Physics<https://apply.graduateadmissions.upenn.edu/apply/>, and Dec. 15 for Bioengineering<https://gradadm.seas.upenn.edu/how-to-apply/> PhD programs! Prospective PhD students must first apply and be accepted into one of our participating graduate programs: Neuroscience<https://www.med.upenn.edu/ngg/>, Bioengineering<https://be.seas.upenn.edu/doctoral/>, Physics<https://www.physics.upenn.edu/graduate/>, or Psychology<https://psychology.sas.upenn.edu/graduate> (PhD students admitted to other PhD programs at Penn may also be considered; see below for additional requirements). Students typically apply to the ITCN before starting classes in their first PhD year, although we will also consider applications from students in more advanced years who believe they will be able to meet our academic requirements. Selection into the ITCN does not require a background in computational neuroscience. Instead, we require: 1) a brief (~½ page) essay describing why you want to join the ITCN and how it would fit into your training and career plans; 2) written permission from your Graduate Chair (and, for MD-PhD or VMD-PhD students, the Director of your Combined Degree Program); and 3) if you are not in one of our four participating programs, descriptions of the funding source(s) and course and research requirements for your home PhD program. Please send your application materials, and/or any questions, to Vijay Balasubramanian<mailto:vijay@physics.upenn.edu>, Maria Geffen<mailto:mgeffen@pennmedicine.upenn.edu>, and/or Joshua Gold<mailto:jigold@pennmedicine.upenn.edu>. ________________________________ Maria Neimark Geffen, Ph.D. (she/her) Professor Co-director, Penn Computational Neuroscience Initiative Department of Otorhinolaryngology: HNS (primary) Department of Neuroscience Department of Neurology Perelman School of Medicine University of Pennsylvania 5 Ravdin 3400 Spruce St. Philadelphia PA 19104 Tel.: 215.898.0782 My zoom<https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> mgeffen(a)pennmedicine.upenn.edu<mailto:mgeffen@pennmedicine.upenn.edu> http://hosting.med.upenn.edu/hearing https://bsky.app/profile/geffenlab.bsky.social

Nov. 20, 2025

Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026.

by Auke Ijspeert

Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026. Dear computational neuroscientists, We are happy to announce the *Gordon Research Conference (GRC) in Robotics *that will take place in Ventura (USA), January 11-16 2026. We have a great list of speakers and discussion leaders (see below and the website). The schedule has been published, and a call for participation and for posters in now open, see https://www.grc.org/robotics-conference/2026/ *Please apply soon, as the total number of participants is limited*.*December 14 is the final deadline, but the remaining seats will likely be assigned by then.* Note also the Robotics Gordon Research Seminar (GRS) that takes place just before (Jan 10-11) and that provides a unique forum for young doctoral and post-doctoral researchers to present their work, https://www.grc.org/robotics-grs-conference/2026/. This year’s conference will focus on *adaptive behavior and learning in animals and robots*. We will explore how biological inspiration drives advancements in robotics, from simple reactive behaviors to complex planning and learning systems. Insights from biomechanics, neuroscience, and animal studies are increasingly shaping the design and control of robots, making them more robust and adaptable. A key focus will be on *embodied intelligence, enabling robots to excel in locomotion, manipulation, and interactions with other agents*. Conversely, robotics research is also contributing to biology. Studies of perception and action in robotic systems are leading to new mathematical models that help integrative biologists understand locomotion, manipulation, and collective behavior in animals. By *bringing together experts from robotics, biomechanics, and neuroscience*, this conference aims to foster cross-disciplinary insights that will push the boundaries of both fields. Join us for a dynamic exchange of ideas at the intersection of robotics and biology, where engineering meets evolution. /The Robotics GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. The conference program includes an array of speakers and discussion leaders from institutions and organizations worldwide, concentrating on the latest developments in the field. The conference is five days long and held in a remote location to increase the sense of camaraderie and create scientific communities, with lasting collaborations and friendships. In addition to premier talks, the conference has designated time for poster sessions from individuals of all career stages, and afternoon free time and communal meals allow for informal networking opportunities with leaders in the field./ Best regards, Auke Ijspeert and Vijay Kumar, organizers./ / *Confirmed speakers:* Alin Albu-Schaeffer Nora Ayanian Spring Berman Oliver Brock Rod Brooks Bingni Brunton Henrik Christensen Kenji Doya Nadia Figeroa Josie Hughes Marco Hutter Monroe Kennedy Dan Koditschek Cecilia Laschi Yasemin Ozkan-Aydin Tony Prescott Amanda Prorok Daniela Rus Giulio Sandini Stefan Schaal Claire Tomlin Kotaro Yasui *Confirmed discussion leaders:* Josie Hughes Dan Koditschek Cecila Laschi Chen Li Barbara Mazzolai Yasemin Ozkan-Aydin Stefan Schaal Giulio Sandini Barry Trimmer -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert (he/him) Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

Nov. 20, 2025

Postdoc position in computational NS - Ruhr University Bochum, Germany

by Vinita Samarasinghe

*Position as Postdoctoral Scholar in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches, including biological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a talented *Postdoc* to join our team, someone whose primary task will be developing advanced algorithms to analyze learning dynamics. You will be analyzing neural, psychophysiological, and behavioral data from other projects within the SFB 1280 (https://sfb1280.ruhr-uni-bochum.de/en/home/ project F01) to compare learning dynamics across individuals, species, and paradigms. You will provide theoretical support to collaborating projects and coordinate the analysis of the data collected from experimental groups. This position is 100% at TV-L E13, starting on 01.03.2026, and is funded until 30.06.2029. *Your Profile:* Candidates must have: * an excellent doctoral degree in neuroscience, physics, mathematics, engineering, or a related field (mandatory) * competence in mathematical modeling (mandatory) * excellent programming skills, e.g., Python (mandatory) * relevant research experience in neuroscience or a related field is required * experience in the study of learning dynamics * experience working within a collaborative research group * excellent communication skills in English, and * team spirit. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare can be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. We strongly encourage applications from qualified women and persons with disabilities. The official posting for this position can be found at https://jobs.ruhr-uni-bochum.de/jobposting/ca74ad0f5c0f99ec276b0d6ca56195d5… To apply please submit an application via our online portal https://jobs.ruhr-uni-bochum.de/en/jobposting/ca74ad0f5c0f99ec276b0d6ca5619… Upload your letter of motivation, CV, transcripts and research statement. *Application deadline:* 01.01.2026 Please feel free to get in touch with me if you have any questions. Vinita Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience 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

Nov. 20, 2025

[Meetings] Deadline reminder: 2026 Nengo Summer School Call For Applications

by Madeleine Bartlett

Dear colleagues, Please note that the deadline for application submission to the Nengo Summer School, December 22nd, 2026, is approaching. All details about this school can be found online at https://www.nengo.ai/summer-school The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 11th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/hHwIryt053M?si=N70eVlC3Sm_2sDy5 We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: December 22nd, 2026*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, creating models to account for neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. BrainDrop, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * build models to account for anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * neurally implement vector symbolic architecture algorithms * and much more… Date and Location: May 31st to June 12th, 2026 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact: Madeleine Bartlett: madeleine.bartlett(a)uwaterloo.ca<mailto:madeleine.bartlett@uwaterloo.ca> Kathryn Simone: kpsimone(a)uwaterloo.ca<mailto:kpsimone@uwaterloo.ca> The school is partly supported by ABR, Inc. We look forward to hearing from you! Maddy she/her Postdoctoral Fellow University of Waterloo email: m2bartle(a)uwaterloo.ca

Nov. 20, 2025

Postdoc and Senior Researcher Positions in Computational Neuroscience at IBS, South Korea

by Sungho Hong

The computational neuroscience research group at the Center for Memory and Glioscience, Institute for Basic Science (IBS), Daejeon, South Korea is seeking highly motivated researchers for two open positions, a postdoctoral researcher and senior researcher. Our group studies the biophysical basis of neural information processing through computational modeling, with particular emphasis on developing neuroscience-inspired machine learning/AI (neuroAI) models to analyze and model neuroscience data. We are big fans of physiological mechanisms and investigate how they collectively define the functions of neural systems underlying intelligent behavior. Currently, our research projects focus on the cerebellar neural circuit and its adaptive computation: · Computations for flexible movement control via the population activity of cerebellar neurons · Efficient construction of large-scale, physiologically realistic computational models of neural circuits · Modeling neuro-glia interactions and their impact on behavior We carry out these projects in close collaboration with experimental labs both within our Center and abroad, providing rich opportunities for integrative research. We are also next door to top-notch experimental laboratories in our Center and have various opportunities for scientific exchange also with other members of a vibrant neuroscience community in South Korea. We are stably supported internally by IBS, a South Korean government initiative for excellence in basic science research. For more information, please check out the Center (https://centers.ibs.re.kr/html/ccs/science/science_020101.html#research_05) and PI homepage (https://shhong.github.io) Successful candidates will hold a PhD in neuroscience or related quantitative fields (Physics, Mathematics, Computer Science, etc.), with strong interest in understanding neural systems through computational approaches. We are committed to welcoming applicants of all ethnicities, genders, sexual orientations, religions, etc. For more information and how to apply, please check out our official posting at https://ibs.re.kr/prog/recruit/eng/sub04_01/view.do?idx=2007. Please note that the deadline is soon — December 1, 2025. For further inquires, please send an email to sunghohong(a)ibs.re.kr. Best regards, Sungho — Sungho Hong Center for Memory and Glioscience Institute for Basic Science 55 Expo-ro, Yuseong-gu Daejeon 34126 South Korea

Nov. 20, 2025

Open Position - Postdoctoral Research Fellow in Brain Plasticity (Blindness/Deafness) - Washington DC

by Ella Striem-Amit

Dear Colleagues, Could you please post the following ad for a postdoctoral research fellow position in my lab? Thanks! Ella *____* *Postdoctoral Research **Fellow in Brain Plasticity (Blindness/Deafness)* *Sensory & Motor Plasticity (SAMP) Lab — Georgetown University, Washington, DC* The SAMP Lab (PI: Ella Striem-Amit) investigates how experience shapes brain organization by studying people born with blindness, deafness, or without hands, using behavioral paradigms, computational methods, and state-of-the-art fMRI analyses. For more information, see samp-lab.facultysite.georgetown.edu <https://samp-lab.facultysite.georgetown.edu/research>. We seek a Postdoctoral Fellow to lead projects on individual differences in brain plasticity in congenital blindness or deafness. This includes testing how lived experience and compensatory strategies shape neural organization. *Required qualifications* - PhD (by start) in Neuroscience, Psychology, Cognitive Science, CS/EE/BME, or related fields. - Demonstrated fMRI expertise and solid statistics. - Strong programming skills (MATLAB, Python, or R). - *Preferred (but not required)* - Experience with brain plasticity, multisensory processing or development - Experience working with special populations and inclusive research practices. *Appointment & compensation* - Start window: Spring–Summer 2026 (flexible). - Initial term: 2 years, with the possibility of extension based on performance and funding. - Salary per NIH/Georgetown guidelines; full benefits. - The position is not limited to US citizens. *To apply* Apply - Interfolio <https://apply.interfolio.com/177838> Review begins Dec 1, 2025 and continues until the position is filled. *Diversity & inclusion* We welcome applicants from all backgrounds and are committed to an inclusive, accessible research environment. Georgetown University is an equal opportunity employer. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity (SAMP) Lab Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu/

Nov. 19, 2025

Workshop on Canonical Cortical Computations

by Allison Ong

Simons Foundation Now Accepting Applications for Workshop on Canonical Cortical Computations The Center for Computational Neuroscience (CCN) <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> at the Flatiron Institute and the Simons Foundation Neuroscience Collaborations <https://www.simonsfoundation.org/neuroscience/> invite applications to participate in a workshop aimed at developing a potential collaborative project focused on a mechanistic understanding of canonical cortical computations at the circuit level. The workshop will be held April 27–28, 2026, at the Simons Foundation’s offices in New York City. This workshop represents a new model for fostering large-scale scientific collaborations between CCN researchers and external scientists. We particularly encourage applications from experimentalists working in rodent and/or nonhuman primate models. While the envisioned collaborative project will primarily support external experimental work, theoretical and computational neuroscientists are also welcome to apply. For decades, efforts to fully understand canonical cortical computations were slowed by limited descriptions of cell types and connections, technical barriers to measuring and perturbing circuits in vivo and the abstract nature of theoretical models. Thanks to advances in anatomy, biophysics, connectomics, developmental biology and circuit-level tools, as well as powerful new computational and theoretical approaches, researchers are now poised to build and test models that more faithfully capture the function of canonical cortical circuits. We believe this will be possible only through a highly collaborative, vertically integrated partnership between theorists and experimentalists working together to build a framework for thinking about canonical circuit computations in the cortex. Approximately 30 workshop attendees will be selected from these applications. Participation in this workshop is not a guarantee of inclusion in a potential collaborative project or future funding. To apply, please submit your biosketch and a one-page statement describing your scientific expertise, how it connects to the scientific vision outlined above and what unique perspectives or contributions you will bring to the discussions. Apply here <https://form.jotform.com/apschaffer/application-cortical-computations> by January 5, 2026, at 5 p.m. ET. https://form.jotform.com/apschaffer/application-cortical-computations You will be notified by February 27, 2026, if you are selected to attend. For questions or issues with this application, please contact corticalcomputations(a)simonsfoundation.org.

Nov. 19, 2025

PhD position in computational neuroscience/brain physics in Oslo

by Gaute Einevoll

A three-year position as PhD Research Fellow in computational neuroscience/brain physics is available at the Department of Physics at the University of Oslo. Starting date as soon as possible, and preferably no later than March 1, 2026. The position is funded by EU Horizon and part of the Marie Sklodwoska-Curie Doctoral Network NeuroNanotech<https://neuronanotech.eu/the-network/>: ‘Integrating Nanotechnology and Neurocomputational Modeling for Advanced Brain Interfaces’. The NeuroNanotech project aims to develop next-generation neurotechnological tools by integrating computational and experimental approaches to understand how nanoscale materials and electromagnetic interactions affect brain function. The PhD project will focus on biophysical modeling of electrical and magnetic brain signals and the mechanisms through which externally applied fields influence neural dynamics. The deadline for application is December 9th. Further info about the position and info on how to apply, see: https://www.jobbnorge.no/en/available-jobs/job/290338/phd-research-fellow-i… For further inquiries, send an email to Gaute.Einevoll(a)nmbu.no. Best regards Gaute ******************************* Professor Gaute T. Einevoll Department of Physics, Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway theoretical neuroscience podcast: theoreticalneuroscience.no<https://theoreticalneuroscience.no> popular science podcast: vettogvitenskap.no<https://vettogvitenskap.no> popular science podcast (English only): vettogvitenskap.no/senseandscience<https://vettogvitenskap.no/senseandscience> Co-author of "Electric Brain Signals": www.cambridge.org/electricbrainsignals<http://www.cambridge.org/electricbrainsignals> Co-author of "Principles of computational modeling in neuroscience" (2nd ed): www.cambridge.org/sterratt2<http://www.cambridge.org/sterratt2/> mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no<mailto:Gaute.Einevoll@nmbu.no>, Gaute.Einevoll(a)gmail.com Twitter: @gauteeinevoll Blue Sky: @gauteeinevoll.bsky.social Zoom: https://nmbu.zoom.us/my/gauteeinevoll “If you sleep in a democracy, you may wake up with a dictator.”

Nov. 19, 2025

🧠 [Meetings] Call for Participation – NeuroDesign in HRI Student Design Competition (Online, Nov. 19)

by NeuroDesign in HRI

Dear Colleagues and Friends, You are warmly invited to join us tomorrow, November 19, for the "NeuroDesign in Human-Robot Interaction (HRI) Student Design Competition" – an online event showcasing innovative, brain-centered HRI projects from talented student teams around the world. 🎓🧠🤖 * Event Time (Online via Zoom) * November 19 (Wednesday) * 9:00 AM (PST) * 12:00 PM (EST) * 6:00 PM (Central European Time) * Final Teams: https://www.neurodesign-hri.ws/2025#final_round_2025 * Zoom Link to Join: https://us06web.zoom.us/j/8288339627?pwd=fgwx5yKYj4GmaacZg610ORpXydatob.1&o… During the competition, each finalist team will give a 5-minute pitch followed by a 2-minute Q&A, highlighting how their designs integrate neuroscience, HRI, assistive/wearable robotics, and human-centered innovation. 🌟 Most Popular Project in HRI NeuroDesign Award – Open for Public Voting In addition to the jury awards, we are also hosting a "Most Popular Project in HRI NeuroDesign Award", decided by "public vote". * Voting opens at the "start of the competition" * Voting remains open for 24 hours * You can vote for your favorite project directly via our website (voting link will appear on the same finals page) Please welcome to join the live session and cast your vote to support your favorite projects! Warm regards, The NeuroDesign in HRI Team 🧠 NeuroDesign in Human-Robot Interaction EXPO & Competition

Nov. 18, 2025

Graduate student positions in Systems Neuroscience (Masset Lab)

by Paul Masset

Graduate student positions in systems neuroscience at McGill University: The Masset lab, located at McGill University in Montréal, is recruiting 1-2 graduate students in experimental systems neuroscience for a start in Fall 2026. The research group integrates ideas and methods from systems neuroscience, experimental psychology and machine learning to understand how the heterogeneity of neuron types endows brain circuits with efficient distributed computations underlying behavior and cognition. We develop and experimentally validate new models of distributed computation in brain circuits including a new understanding of how dopamine-based distributed reinforcement learning could be implemented in the brain. To answer these questions, we perform large scale electrophysiological recordings in rodents performing complex behavioral tasks, build new data analysis tools and develop new classes of biologically plausible neural networks. Projects would investigate how brain circuits implement distributed computations underlying cognition and behavior within and across brain areas, including dopamine-based RL. Experimental approaches would involve refining and developing complex cognitive tasks in rats, chronic multi-site Neuropixel recordings, and advanced computational methods. The students would work on the experimental side of the lab but would closely collaborate with the computational and theoretical side of the research group to test models of distributed computation and develop and validate new data analysis methods. Students would also join a strong community at the intersection of neuroscience and AI at McGill and Mila. Coding experience (Python/Matlab) is essential and experience in animal research strongly preferred. Students are encouraged to apply via both the Psychology program: https://www.mcgill.ca/psychology/graduate and the Integrated Program in Neuroscience: https://www.mcgill.ca/ipn/prospective IPN application are reviewed on a rolling basis but applying by the Dec 1st deadline to both programs is strongly preferred. -------- Paul Masset Assistant Professor, Department of Psychology, McGill University Associate Academic Member, Mila - Quebec Artificial Intelligence Institute paul.masset(a)mcgill.ca<mailto:paul.masset@mcgill.ca> || https://massetlab.org/

Nov. 16, 2025

Visit Open Brain Institute at SfN 2025 for Live Virtual Lab Demos

by Darshan Mandge

Experience our latest Virtual Labs for simulation neuroscience — live at SfN 2025! Our team will be at Booth #3631, and we’d love to meet you there. Stop by to explore our new Virtual Labs, watch live demos, and see how our open, AI-powered platform is helping researchers accelerate neuroscience discovery. ️🗓️ From Sunday 16 to Wednesday 19 Nov – 30 minute sessions 📍 Booth #3631<https://s19.a2zinc.net/clients/sfn/sfn25/Public/EventMap.aspx?EventId=4&Map…> 𝗖𝗵𝗲𝗰𝗸 𝗼𝘂𝘁 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗴𝗲𝗻𝗱𝗮 🌐 https://www.openbraininstitute.org/sfn-2025 Morning (4) & Afternoon (4) Sessions: • Explore & AI: 09:30 – 10:00 / 13:00 – 13:30 Explore Datasets Interactively and Reveal Hidden Patterns Through AI-Driven Insights • Simulate: 10:00 – 10:30 / 13:30 – 14:00 Simulate, Test and Analyze Microcircuits to Study Emergent Network-Level Behaviors • Modeling: 10:30 – 11:00 / 14:00 – 14:30 Model Single Neurons and Synaptomes to Visualize Function and Structure • EM Skeletonization: 11:00 – 11:30 / 14:30 – 15:00 Generate EM Skeletonized Morphologies & Run Notebooks Best regards, The Open Brain Institute Team https://www.openbraininstitute.org/

Nov. 15, 2025

Assistant Professor Position at Bocconi University

by Nicolas Brunel

The Department of Computing Sciences at Bocconi University invites applications for a Tenure Track Assistant Professor position. The new department of Computing Sciences, created four years ago and in a phase of rapid expansion, is an interdisciplinary department with leading international researchers in various fields including Theoretical Computer Science, Machine Learning Theory, Statistical Physics Modeling, Natural Language Processing, Computational Neuroscience, Computer Vision, as well as biomedical applications. In terms of teaching, the department has recently opened a bachelor in AI, a master in AI, and is strongly involved in the PhD program in Statistics and Computer Science. It has a strong core in theory and applied CS, and aims at broadening its portfolio, in particular towards applications of machine learning not yet currently represented. We are looking for outstanding candidates, curious and open to collaborations with colleagues from other fields. In principle the position is to be filled by 1st September 2026, but if necessary, the starting date could be delayed to 1st February 2027. Bocconi University is an amazingly vibrant academic community with leading academics in various fields. It is located in central Milan, Italy, offering undergraduate, graduate, PhD, MBA and Executive programs. *Qualifications* Applicants should have a Ph.D. in Computer Science or closely related areas, and should demonstrate the capacity for exceptional research achievement and the ability to teach effectively in undergraduate, masters, MBA and PhD programs. Experienced candidates should have an established track record of successful research and teaching. * Job information* The successful candidates will be expected to develop a strong publication record, broadly contribute to the academic life of the department and be effective teachers both at the undergraduate and graduate level. Compensation and teaching load will be competitive with other top European Schools. The contract will last for 6 years, with the possibility of becoming permanent after a successful tenure process. For additional information concerning the Department of Computing Sciences visit https://cs.unibocconi.eu/. Further details on the position may be requested from faculty(a)unibocconi.it. *How to apply* Applications including a CV, Research Statement and copies of recent publications (up to 5), plus 3 references must be submitted online at https://jobmarket.unibocconi.eu/?id=870. *Closing date* Applications must be received by 16th December 2025 and candidates will be interviewed online. Bocconi University is committed to increasing the diversity of its faculty. Applications are particularly welcome from women and members of groups who are under-represented in academic posts.

Nov. 15, 2025

Free Python Course for Neuroscientits

by Fabrizio Damicelli

Dear Community, I'd like to share this short, hands-on Python Course oriented to early stage PhD students in Neurosciences: ✅ Core concepts explained in simple words ✅ Software engineering best-practices (uv, error handling, testing, etc.) ✅ References to deepen your knowledge (talks, books, cheatsheets, etc.) ✅ Exercises for each chapter to ramp up your skills with deliberate practice ✅ Integrative “Labs” with real-world brain datasets (OpenNeuro) Check it out, it's free! https://fabridamicelli.com/python-course/ Best Regards, Fabrizio Damicelli

Nov. 14, 2025

CRCNS 2025 PI's meeting streaming

by Garrison Cottrell

The 2025 CRCNS meeting will be streamed starting this morning at 9:00AM Pacific time.The schedule is here. <https://inc.ucsd.edu/events/crcns/2025/program.php> The zoom link is here <https://ucsd.zoom.us/j/94307323129>. Most of it will be recorded, so no FOMO. cheers, Gary Cottrell --- Gary Cottrell 858-534-6640 FAX: 858-534-7029 Computer Science and Engineering 0404 IF USING FEDEX INCLUDE THE FOLLOWING LINE: CSE Building, Room 4130 University of California San Diego - 9500 Gilman Drive # 0404 La Jolla, Ca. 92093-0404 Email: gary(a)ucsd.edu Home page: http://www-cse.ucsd.edu/~gary/ Schedule: http://tinyurl.com/b7gxpwo "It is not clear there has ever been, in the history of science, an implemented computational system that achieves such accuracy, but which is dismissed by a field which has failed to develop even remotely comparable alternatives." -Steven T. Piantadosi, on Chomsky and LLMs. Power to the people! —Patti Smith Except when they’re delusional —Gary Cottrell This song makes me nostalgic for a memory I don't have -- Tess Cottrell *All Watched Over by Machines of Loving Grace* I like to think (and the sooner the better!) of a cybernetic meadow where mammals and computers live together in mutually programming harmony like pure water touching clear sky. -Richard Brautigan

Nov. 13, 2025

ICPRAI 2026: Special Session on Frontiers of Artificial Intelligence for Medical Applications: Models, Reasoning, Perception, and Interaction

by Ghazaleh Khodabandelou

Special Session on Frontiers of Artificial Intelligence for Medical Applications: Models, Reasoning, Perception, and Interaction ICPRAI 2026, Montréal, Québec, Canada, June, 2026 https://icprai2026.com/ Scope Artificial intelligence has seen remarkable progress in digital healthcare across areas such as learning algorithms, knowledge representation, perception, and interaction. From deep learning advances in vision and language, to reinforcement learning for control, to symbolic and neuro-symbolic hybrids for robust reasoning, modern AI systems are increasingly capable of understanding complex data, adapting to new tasks, and interacting with humans and environments. This Special Session invites original contributions that explore foundational models, architectures, and applications spanning the AI spectrum, including but not limited to learning and representation; planning and decision-making; perception and multimodal understanding; human-AI collaboration; and trustworthy, explainable, and ethical AI. We welcome theoretical analyses, novel algorithms, system implementations, and domain-specific studies that illustrate state-of-the-art techniques and future directions in AI, with special encouragement for work in large language models, multimodal vision-language modeling, and impactful applications in healthcare and medical domains such as medical imaging, autism detection, neurodegenerative disorders (e.g., Alzheimer’s and Parkinson’s), and diabetes management. Topics of Interest Topics of interest include, but are not limited to: • Large Language Models (LLMs) and foundation models • Embeddings, representation learning, and transfer learning • Generative modeling: GANs, VAEs, diffusion and beyond • Multimodal integration: vision-language, audio-visual, sensor fusion • Symbolic, neuro-symbolic, and hybrid reasoning systems • Automated planning, scheduling, and decision-theoretic frameworks • Reinforcement learning, multi-agent systems, and control • Human-AI collaboration, mixed-initiative interfaces, and personalization • Explainability, interpretability, causal analysis, and fairness • Robustness, safety, trustworthiness, and privacy-preserving AI • Healthcare and medical AI applications: imaging, diagnostics, chronic care 1 Important Dates • Full paper submission deadline: January 15, 2026 • Notification of acceptance: March 7, 2026 • Camera-ready deadline: March 13, 2026 • Early Registration deadline: until April 30, 2026 • Special Session at ICPRAI: June 15-18, 2026 Submission Guidelines Please follow the standard ICPRAI submission instructions at the conference website. When up loading your paper, select “Frontiers of Artificial Intelligence for Medical Applications: Models, Reasoning, Perception, and Interaction ” as the target session. Organizers • Prof. Ghazaleh Khodabandelou, University Paris-Est, France ghazaleh.khodabandelou(a)u-pec.fr<mailto:ghazaleh.khodabandelou@u-pec.fr> • Prof. Mounîm A. El Yacoubi, Institut Polytechnique de Paris, France mounim.el_yacoubi(a)telecom-sudparis.eu<mailto:mounim.el_yacoubi@telecom-sudparis.eu>

Nov. 12, 2025

[ICANN 2026] 1st CALL FOR PAPERS, SPECIAL SESSIONS, WORKHOPS AND TUTORIALS

by davide.rigoni.1＠unipd.it

====================================================================== ICANN 2026 - CALL FOR PAPERS, SPECIAL SESSIONS, WORKHOPS AND TUTORIALS ====================================================================== On behalf of the ICANN 2026 Organizing Committee, it is our great pleasure to invite you to the 35th International Conference on Artificial Neural Networks ICANN 2026, one of the premier conferences in the field of artificial intelligence, neural networks, neuroscience and brain-inspired computing in Europe, organized in collaboration with the European Neural Network Society (ENNS). ICANN 2026 will be held in Padua, Italy, one of the most charming and dynamic towns in Italy. It is located in the Veneto region, in Northern Italy. The historical center boasts a wealth of medieval, renaissance and modern architecture. Here a fascinating mix of historic and new, of centuries-old traditions and metropolitan rhythms creates a unique atmosphere. The medieval palaces, churches and cobbled streets emanate a sense of history. Padua features rich historical and cultural attractions, such as “Prato della Valle”, the largest square in Europe; the famous Scrovegni Chapel painted by Giotto; the Botanical Garden that is a UNESCO World Heritage; the University of Padua, that is the second oldest university in Italy (1222) with more than 800 years of history. Conference Dates: September 14 to September 17, 2026 Conference Venue: Conference center of the School of Psychology, University of Padua, Italy Conference Webpage: https://e-nns.org/icann2026/ General Chairs: Alessio Micheli (University of Pisa, Italy) Nicolò Navarin (University of Padua, Italy) Alessandro Villa (University of Lausanne, Switzerland) ICANN 2026 aims to be a transformative event with the dual track of Artificial Intelligence & Deep Learning and Neuroscience, encouraging cross-disciplinary collaboration among researchers, practitioners, and industry experts. The event will feature cutting-edge research presentations and keynote talks by leading experts, continuing its tradition as a global dynamic and interactive forum bridging academia and industry. ====================================================================== Prospective authors are invited to submit original contributions of up to 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. The technical program, including special sessions, workshops and keynote talks covers almost all facets of Artificial Intelligence, Deep Learning and Neuroscience. Topics of interest include, but are not limited to: - AI and Machine Learning: - Theory and Foundations of Neural Networks - Novel Neural Network Architectures - Topics in Neural Networks - Large Language Models - Explainable AI - Machine Learning for Graphs - Graph Neural Networks - Clustering and Reinforcement Learning - New Topics in Artificial Intelligence and Machine Learning - Neurorobotics - Neuroscience: - Theoretical/Computational Neuroscience - Cognitive Neuroscience - Brain-Inspired Computing - Spike Trains Neural Decoding - Functional Neuroimaging - Neuromorphic Systems - Digital Twins and Virtual Brain Models - Applications - AI in Drug Discovery - Human-Computer Interaction - Biosignal Processing - Medicine and Physiology - Speech and Language Processing - Computer Vision - Robotics - Climate and Environment - General Applications of Machine Learning CONFERENCE COMMITTEE General Chairs: - Alessio Micheli (University of Pisa, Italy) - Nicolò Navarin (University of Padua, Italy) - Alessandro Villa (University of Lausanne, Switzerland) Program Chairs: - Luca Pasa (University of Padua, Italy) - Alessandra Lintas (University of Lausanne, Switzerland) - Igor Tetko (Helmholtz Munich, Germany) Submission Chair - Linas Petkevičius (Vilnius University, Lithuania) Publication Chair - Domenico Tortorella (University of Pisa, Italy) Workshop and Special Session Chairs - Luca Oneto (University of Genoa, Italy) - Valerie Vaquet (Bielefeld University, Germany) Social Media Chairs - Giovanna Maria Dimitri (University of Milan, Italy) - Alessandro Dipalma (University of Pisa, Italy) Diversity and Inclusion Chair - Roseli S. Wedemann (Universidade do Estado do Rio de Janeiro (UERJ), Brazil) Communication Chairs - Davide Rigoni (University of Padua, Italy) - Matteo Zavatteri (University of Padua, Italy) Local Arrangements Chairs - Merylin Monaro (University of Padua, Italy) - Andrea Zangrossi (University of Padua, Italy) Volunteers Coordinator - Giovanni Donghi (University of Padua, Italy) IMPORTANT DATES - Deadline for full paper and abstract submission: 16 March 2026 - Final notification of Acceptance or Rejection: 29 may, 2026 - Camera-ready paper upload and author registration: 29 June 2026 For questions, please contact: icann2026(a)e-nns.org

Nov. 12, 2025

Neurotech School 2026: Registrations are now open

by Blaise Yvert

Dear Colleagues, We are pleased to announce that the third edition of the Neurotech School will take place in Aussois from March 15 to March 20, 2026. The program and registration page can be found at the following link : https://neurotech2026.sciencesconf.org/ As in previous years, the number of available seats will be limited. For any question, feel free to contact Salma Mezzi in cc of this message. We look forward to your participation and to welcoming you in Aussois. Kind regards, Blaise for the local organizing committee.

Nov. 12, 2025

Fully-funded PhD in computational neuroscience, Sheffield, UK

by Hazem Toutounji

Dear all, A fully-funded PhD position in computational neuroscience is available with Dr Hazem Toutounji (University of Sheffield, UK). *Project title: *Flexible or Flawed? A Computational Neuroscience Approach to Learning Strategies and Psychiatric Traits In our complex and ever-changing world, humans are constantly faced with a flood of sensory information. To make effective and timely decisions, the brain cannot possibly process every single detail. Instead, it is thought to rely on intelligent "cognitive shortcuts" or simple strategies (heuristics) to simplify complex problems. This allows for rapid and flexible learning, but the mechanisms behind this process are not well understood. When are these shortcuts deployed? How does the brain select the right strategy for the task at hand? How does it know when a shortcut is no longer working and a new strategy is needed? And how are the selection and efficiency of those shortcuts influenced by common psychiatric traits such as anxiety and impulsivity? This 3.5-year fully-funded PhD studentship provides an exciting opportunity to work at the intersection of computational modelling, cognitive neuroscience, and computational psychiatry. The successful candidate will receive comprehensive training in all required methods. Position available for UK students only Application deadline: February 4th 2026 PhD start date: October 1st 2026 Further information on the project, requirements, and how to apply can be found here: http://www.findaphd.com/?pj=190228 *Please note: *Interested candidates are strongly encouraged to contact me ( h.toutounji(a)sheffield.ac.uk) to discuss your interest in and suitability for the project prior to submitting your application. Best wishes, Hazem -- *Dr. rer. nat. Hazem Toutounji (they / them) *[pronounced ḤAH-zem TUTUN-ji <https://namedrop.io/hazemtoutounji>] *PI of the Neural Dynamics and Computation Lab* Lecturer in Computational Neuroscience MSc Exams Officer, ECR Champion, Sustainability Lead School of Psychology The Neuroscience Institute Insigneo Institute for in silico Medicine University of Sheffield ICOSS Building, 4th floor, desk 5 219 Portobello, Broomhall Sheffield S1 4DP, UK *Please don't feel obliged to respond to my emails outside your own working hours* If you are a student looking for support, please see this page <https://www.sheffield.ac.uk/study/support>. *Office hours during semester weeks:* Monday 14:00-15:00 -- Please book an appointment with a brief description of the topic using this link <https://calendar.app.google/1ayXM9DqBhAkLBCp6>. Face to face meetings are at *ICOSS E04a*. To meet outside of office hours, please email me 24 working hours in advance.

Nov. 12, 2025

Postdoctoral position in circuit/systems neuroscience at McGill University (Krishnaswamy/Cook/Masset)

by Paul Masset

Postdoctoral position in circuit/system neuroscience at McGill University. The Krishnaswamy and Cook laboratories are looking for a postdoctoral fellow to work on a project involving the neural circuits and computations underlying neuromodulation and behaviors such as attention and decision-making in mice. Position will involve cutting edge methods such as in vivo acousto-optic two-photon microscopy from cortical areas, fiber photometry from neuromodulator centers, widefield imaging using voltage/calcium-indicators, and genetic and optogenetic tools. Position will also involve using and developing advanced computational data analysis tools and building AI-inspired models of behavioral and neural activity. The project will involve close collaboration Dr. Paul Masset's lab to examine models of reinforcement learning in the context of neuromodulators. Prior experience in these methods is a plus but not a requirement. Background knowledge and/or graduate training in the neurosciences and computational methods is an advantage. We are located at the Life Sciences Complex (LSC) at McGill University, in the Bellini Building, which is a state-of-the-art research facility. Successful candidates will join a large community of neuroscientists which include researchers at the LSC, the Neuro (formerly the MNI), the Center For Research in Neuroscience, and Mila-Quebec AI institute. To apply, please send a CV and list of references to: arjun.krishnaswamy(a)mcgill.ca and erik.cook(a)mcgill.ca

Nov. 12, 2025

Permanent position in computational neuromodulation

by Axel Hutt

------------------------------------------------------------------------------------ Permanent position in computational neuromodulation of brain networks and application to mental disorders ------------------------------------------------------------------------------------ The new research team NECTARINE at Inria in Strasbourg / France aims to create a synergy between clinicians and computational researchers to develop new healthcare technologies. The team works on stochastic microscopic network models to describe macroscopic experimental data and computational techniques of neural feedback control based on subject behavior and/or encephalographic data. We collaborate closely with clinicians and choose our research focus along the clinical applications. Major scientific objectives are stochastic multi-scale simulations of neurostimulation and corresponding mean-field descriptions of neural activity on the macroscopic scale. Moreover, we develop novel closed-loop techniques with real-time control merging experimental data and numerical models by machine learning techniques. The team's clinical research focuses on neuromodulation of patients suffering from deficits in attention and temporal prediction. The team offers the possibility to apply for a permanent position as Chargé de Recherche (CR) or Directeur de Recherche (DR) in the research field of computational neuroscience with a strong focus on stochastic dynamics linking brain network modelling with experimental data. The new colleague should have a strong expertise in mathematical/computational modelling with a focus on nonlinear dynamics and/or network dynamics, as well as strong interest in clinical applications. Strong programming skills are mandatory. Inria is a French National Institute for Research in Digital Science and Technology ( [ https://www.inria.fr/en | https://www.inria.fr/en ] ) with 9 research centres in France. The team is located in the centre of Strasbourg on the hospital campus as part of the Research Centre at University of Lorraine in Nancy. Applications are welcome from now on until end of January 2026 , but it is strongly recommended to contact us well in advance. For more details or sending your application documents (motivation letter, CV including publication list), please contact Dr. Axel Hutt (email: axel.hutt(a)inria.fr ) . -- Axel Hutt Directeur de Recherche Equipe NECTARINE INRIA Center at University of Lorraine Bâtiment Explora 2, rue Marie Hemm 67000 Strasbourg, France

Nov. 11, 2025

Postdoc and PhD positions in Paris

by German Sumbre

Dear colleagues, We have several open positions for postdocs, PhDs and master students, at the neural dynamics & behaviour lab at theInstitute of biology of theEcole normale supérieure, Paris, France. The selected candidates will study neural circuit dynamics in zebrafish or cavefish using two-photon, light-sheet calcium imaging and/or optogenetics, to learn about neuro-glia interactions, behavioural states, development of neuronal assemblies, gut-brain interactions, brain-machine interfaces and the evolution of brain computations. You can find more information about the lab and relevant publications athttps://www.zebrain.biologie.ens.fr/ Applicants should have a strong background in systems or computational neuroscience and some experimental experience. Good programing skills are required. Knowledge on optics is a plus. The lab is an interdisciplinary and collaborative environment with postdocs and students coming from different disciplines and cultures. Some of these projects involve collaborations with the labs of Marcelo Rozenberg (Paris Cite), Julijana Gjorgjieva (MTU) and Pedro Hernandez (Curie). To apply please send a detailed CV, 2 academic referees and a research statement about a project you would like to carry out in the lab. Please send a single PDF file tosumbre(a)ens.fr. Review of applications will continue until the positions are filled.Best, *Germán Sumbre* Ecole Normale Supérieure Institut de Biologie de l'ENS Section de Neurosciences 46, rue d'Ulm 75005 Paris France Tel: +33 (0)1 44 32 23 67 http://www.zebrain.biologie.ens.fr

Nov. 10, 2025

[Workshop][Dec 8 · San Diego] NSF BRAID Workshop: Bridging Neuroscience and Engineering for Energy-Efficient AI (+Posters).

by sbezugam＠umail.ucsb.edu

Dear colleagues, We will host the *NSF BRAID Workshop: Bridging Neuroscience and Engineering for Energy-Efficient AI*—a one-day program on neuromorphic computing and energy-efficient AI—on *Monday, December 8, 2025, at the Omni San Diego, immediately following NeurIPS'25*, at the same location. The workshop will feature invited speakers from neuroscience, neuromorphic engineering, and computer systems, including James Aimone, Maksim Bazhenov, Kwabena Boahen, Dhireesha Kudithipudi, Robert Legenstein, Stefan Mihalas, Bruno Olshausen, Priyadarshini Panda, and Vijay Janapa Reddi (tentative). The program will comprise two themed sessions and a poster session, all centered on neuromorphic computing. The neuroscience session will explore how insights from the brain can be leveraged to improve, augment, or rethink state-of-the-art large language models and AI. The hardware session will address whether conventional, emerging, or hybrid device technologies are best suited for the next generation of AI systems. Each session will include short invited talks followed by a panel discussion. *Poster participation* Short abstracts (≤200 words) are invited and should include: title, authors, and affiliations. Please email submissions to strukov(a)ece.ucsb.edu with the subject line “BRAID 2025 Poster.” Review is rolling, and space is limited. (more details here https://sites.google.com/view/nsf-braid-workshop-2025/call-for-posters) *Program & details:* https://sites.google.com/view/nsf-braid-workshop-2025/ RSVP here: NSF Workshop on BRAID · https://luma.com/7c3w0o01 Best regards, Sai Sukruth Bezugam PhD Student Strukov Research Group UC Santa Barbara

Nov. 10, 2025

World wide VVTNS series (6th season): Wednesday, 12, 2025, at 11:00 am ET - Katharina Anna Wilmes, Institute of Neuroinformatics Zurich

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 Katharina Anna Wilmes Institute of Neuroinformatics Zurich on the topic of Uncertainty-aware predictive processing The lecture will be held on zoom on November 12, 2025, at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Minimising cortical prediction errors is thought to be a key computation underlying perception, action, and learning. Yet, how the cortex represents and uses uncertainty in this process remains unclear. In the first part of this talk, I will present a normative framework showing how uncertainty can modulate prediction error activity to yield uncertainty-modulated prediction errors (UPEs), hypothesised to be represented by layer 2/3 pyramidal neurons. We propose that these UPEs are computed through inhibitory mechanisms involving SST and PV interneurons. A circuit model demonstrates how cortical cell types can locally compute means, variances, and UPEs, leading to adaptive learning rates. In the second part, I will discuss how uncertainty modulation could be controlled by higher-level representations. We formally derived neural dynamics that minimise prediction errors under the assumption that cortical areas must not only predict the activity in other areas and sensory streams but also jointly project their inverse expected uncertainty about their predictions, which we call “confidence”. This yields a confidence-weighted integration of bottom-up and top-down signals, consistent with Bayesian principles, and predicts the existence of second-order errors that compare confidence with performance. We predict that these second-order errors propagate alongside classical prediction errors through the cortical hierarchy, and simulations demonstrate that this mechanism enables nonlinear classification within a single cortical area. *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 ᐧ

Nov. 10, 2025

Software Engineer - Behavioral Analysis Platform Development - Max Planck Institute of Animal Behavior

by Ahmed El Hady

As part of a startup spinoff project funded by Max Planck Innovation's MAX!mize program. We're developing next-generation software for automated analysis of animal social behavior . Our platform makes behavioral analysis tools accessible for research and industry applications. We have the following opening: * Software Engineer (m/f/d) (80 - 100 %) - Behavioral Analysis Platform Development* The Max Planck Institute of Animal Behavior at its sites in Konstanz and Radolfzell offers an international, interdisciplinary, and cooperative environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in their natural environment. The Max Planck Department of Collective Behavior would like to fill the following position starting in January/February 2026, initially for 1 year with the possibility of extension. The workplace will be in Konstanz, Germany. /Our Offer/ We offer an interesting job in an open-minded team, flat hierarchies and an open-door culture where we encourage building on strengths, a wide range of further training and education opportunities, 30 days of vacation for a five-day week, flexible working hours, a responsible and varied workplace in a growing interdisciplinary and international research institute. The payment is made in accordance with your experience and qualification and the collective agreement for the public service (TVöD-Bund). /Your tasks/ * Design and develop interface for video analysis and data visualization * Build APIs connecting Python backend with frontend applications * Integrate existing behavioral analysis research tools * Create annotation tools and real-time visualization dashboards * Transform Python-based behavioral analysis algorithms into accessible web applications * Ensure complex scientific tools are intuitive for non-programmer users /Your Profile/ * Bachelor's/Master's in Computer Science, Engineering or equivalent experience * Strong web development and applications skills (HTML/CSS/JavaScript + any modern framework * Proficient in Python programming * Experience making complex tools user-friendly * Self-directed problem solver with ability to work independently * Very good written and spoken English skills * Team-oriented with strong communication and collaboration abilities Other valuable experience: Scientific/data-heavy applications, real-time visualization, video processing/computer vision, Docker/containerization, research/startup experience The Max Planck Society endeavors to employ more severely disabled people. Applications of severely disabled persons are expressly welcome. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds. /Are you interested? /Then we are looking forward to receiving your application until November 30, 2025, with your CV, a brief cover letter including link to GitHub or project portfolio under the following link <https://bewerbermanagement.net/en/jobposting/82ea614de840b641fc5b2e466fad8a…>: https://bewerbermanagement.net/en/jobposting/82ea614de840b641fc5b2e466fad8a… Questions about this position will be answered by Jacob Davidson (jdavidson(a)ab.mpg.de) or Ahmed El Hady (ahady(a)ab.mpg.de) Please make sure to spread it to anyone you think might be interested to apply or is well suited for the position. All the best regards, Ahmed El Hady Dr. Ahmed El Hady Research group leader Cluster for Advanced Study of Collective Behavior University of Konstanz/Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907

Nov. 7, 2025

Deadline approaching: Why are there neuroscientists? Workshop of Ideas in Neuroscience, Dec 5th

by Mateusz Kostecki

Hello, We would like to remind you that there is just one week left for registration for our workshop, *Why are there neuroscientists?*, that will be held in Heidelberg on Dec 5t! We are going to discuss an intricate web of reasons that make us study the visual cortices of mice, the spatial cognition of bats, or the molecular basis of Alzheimer’s disease in humans, from long-time fascinations, through previous, often random choices, inspirations by other people, or economic/social circumstances. The aim of this short workshop will be to discuss in depth our reasons for doing neuroscience. In a series of short talks, discussions, and group tasks – in the spirit of our Schools and Workshops of Ideas – we will try to ask (and maybe answer) questions: - What motivates our research? - How do our stated purposes for our research – the ones that we speak about in public, in grant writing or science communication – relate to our real motivations? - How do our reasons to do brain research influence our methodological choices? - How do the reasons we have differ depending on our background? Why does it matter? Please find more info and the application form here - https://nenckiopenlab.org/why/ <https://nenckiopenlab.org/why/> With best wishes, Mateusz Kostecki -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

Nov. 7, 2025

4th Ultrasonic Vocalizations Conference (Online, Nov 20-21, 2025)

by Alicja Terelak

Dear colleagues, We are pleased to invite you to the *4th Ultrasonic Vocalizations Conference*, taking place *online on November 20-21, 2025*. This event brings together researchers and practitioners exploring *ultrasonic vocalizations (USVs)* and their role in: • neuroscience and behavioral science, • acoustic communication across species, • technology and sound analysis, • creative approaches to studying communication. The program will feature: - *talks by international experts*, - *panel discussions and interactive Q&A sessions*, - *over twenty confirmed speakers and panelists* from neuroscience, biology, psychology, technology, and the arts. *Registration is now open and participation is free of charge.* More information and the registration link are available at: https://ultrasonicvocalizations.net/ https://www.facebook.com/UltrasonicVocalizationsNetwork/ We warmly invite you to join us for two days of interdisciplinary discussion and exchange. Best regards, *The 4th Ultrasonic Vocalizations Conference Organizing Committee* -- *Alicja K. Terelak, MSc* Laboratory of Spatial Memory, Nencki Institute of Experimental Biology, Polish Academy of Sciences Warsaw, 3 Pasteur Street, 02-093

Nov. 6, 2025

[seminar.wwtns] New recordings are available on the VVTNS website

by David Hansel

[image: VVTNS.png] > > <https://streaklinks.com/BT7ApM4NDVkoziHWhQptf9sP/https%3A%2F%2Fwww.wwtns.on…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide - on Youtube > New recordings available on the VVTNS website https://www.wwtns.online/past-seminars-2024-2025 ---------------------------- The First Memorial Carl van Vreeswijk Lecture Do contemporary, machine-executable models of primate sensory systems unlock the ability to non-invasively, beneficially modulate high level brain states? delivered on April 9, 2025 by James DiCarlo MIT ---------------------------- Learning generative dynamical systems models from multi-modal and multi-animal neuro-data delivered on April 23, 2025 by Daniel Durstewitz Central Institute of Mental Health, Mannheim ------------------------------------------------- Energy efficient learning in neural networks delivered on May 7, 2025 by Mark van Rossum University of Nottingham ------------------------------------------------- Neural mechanisms of memory linking and replay: inhibition matters delivered on May 14, 2025, by Tomoki Fukai Okinawa Institute of Science and Technology ------------------------------------------------- From neurons to Newtons: Brain evolution as a machine learning problem delivered on May 21, 2025 by Alexei Koulakov Cold Spring Harbor Laboratory *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.* April, 13, 2022 ᐧ ᐧ ᐧ ᐧ ᐧ ᐧ ᐧ

Nov. 5, 2025

Neural Data Analysis Workshop at Flatiron Institute (Feb 2-5, 2026) - Apply Now

by Edoardo Balzani

Dear colleagues, Excited to share a great opportunity for systems neuroscientists! This February, the Flatiron Institute Center for Computational Neuroscience of the Simons Foundation is hosting a hands-on workshop on neural data analysis in New York City. *Workshop Details:* *What: *3-day workshop on pynapple & NeMoS *When: *February 2–5, 2026 *Where: *Flatiron Institute, NYC *Who:* Grad students & postdocs analyzing electrophysiology or calcium imaging data Via live-coding and hands-on group projects, you will learn to: - Use pynapple for neural data manipulation and exploration - Build statistical models with NeMoS (powered by JAX with GPU acceleration) *Cost:* Accommodation & meals provided, no participation fees. Both packages are open-source Python tools developed at Flatiron CCN to streamline neural data analysis and modeling. *Apply here:* https://simonsfoundation.formstack.com/forms/ neural_data_analysis_workshop_at_flatiron_institute *Learn more:* https://www.simonsfoundation.org/event/flatiron-ccn-neural-data-analysis-wo… Please feel free to share with anyone who might be interested! Best regards, Edoardo Balzani -- *Edoardo Balzani* Associate Research Scientist Center for Computational Neuroscience Flatiron Institute

Nov. 5, 2025

Open PhD position - Brain-inspired Machine Learning and Spiking Neural Networks

by Robert Legenstein

The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/iml/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) in the areas Brain-inspired Machine Learning/Spiking Neural Networks. In paticular, we will investigate brain-inspired models that bridge between sub-symbolic and symbolic artificial intelligence approaches in the context of the Cluster of Excellence Bilateral AI: https://www.bilateral-ai.net A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. For details and application portal, see https://jobs.tugraz.at/en/jobs/2a6e0939-accb-36e0-f2b6-68da792d9797?preview… -- Dr. Robert Legenstein Univ.-Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.iml.tugraz.at/legi/ WebEx: https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ----------------------------------

Nov. 5, 2025

Virtual workshop (Nov 13, 9am - 12pm US Pacific Time) - Neuroscience Gateway enabling large scale modeling, AI/ML, data processing, and software dissemination on supercomputers

by Majumdar, Amitava

Dear Colleagues, We are organizing a virtual workshop titled "Neuroscience Gateway enabling large scale modeling, AI/ML, data processing, and software dissemination on supercomputers". Please see the list of speakers, title of talks, abstracts, date and time below. If you are interested in attending please register via the registration link. Thank you. Amit Majumdar and Subhashini Sivagnanam San Diego Supercomputer Center University of California San Diego ----------------------------------------------------------------------------------------------------------------- Date: 13 November (Thursday) 2025 Time: 9:00 – 12:00 USA Pacific Time Workshop Abstract: The Neuroscience Gateway (NSG) serves the neuroscience community by providing researchers and students easy, open and free access to a large number of neuroscience software and tools on supercomputing resources, academic cloud computing resources, and associated storage resources, which are located at various national academic supercomputer centers in the US and funded by the National Science Foundation. NSG is also a dissemination platform and enables dissemination of neuroscience modeling and data processing software to the community. This virtual workshop is intended for computational, cognitive and experimental neuroscientists – researchers and students - who use large scale modeling, AI/ML and data processing for their research. Computational neuroscientists who are building and using computational models of neurons and network of neurons, and cognitive neuroscientists who are processing EEG, fMRI and other types of data, as well as neuroscientist who are using AI/ML for their research, will find this workshop of interest. NSG is funded by the National Science Foundation and the National Institutes of Health. Registration deadline: November 11, 2025 Register for this session at: https://na.eventscloud.com/ereg/newreg.php?eventid=862126<https://na.eventscloud.com/ereg/newreg.php?eventid=862126&>&<https://na.eventscloud.com/ereg/newreg.php?eventid=862126&> Agenda (times in USA Pacific Time): 9:00 – 9:30: Human Neocortical Neurosolver (HNN): An open-source software for cellular and circuit-level interpretation of human MEG/EEG, Dylan Daniels, Brown University Abstract: HNN is a user-friendly neural modeling software designed to provide a cell and microcircuit-level interpretation of macroscale magneto- and electroencephalography (M/EEG) signals (hnn.brown.edu, Neymotin et al 2020). The foundation of HNN is a biophysically-detailed neocortical model, representing a patch of neocortex receiving thalamic and corticocortical drive. The HNN model was designed to simulate the time course of primary current dipoles and enables direct comparison, in nAm units, to source-localized M/EEG data, along with layer-specific cellular activity. HNN workflows are constructed around simulating commonly measured ERPs and low-frequency oscillations. In this workshop, we will review the scientific foundations underlying the HNN model. Thereafter, will we walk through how to get started with HNN using NSG, and we will briefly demo various features of the HNN GUI. 9:35 – 10:05: AI-driven Brain Digital Twins: Large-scale biophysical models of neuronal circuits to study brain function and disease, Salvador Dura Bernal, SUNY Downstate Health Sciences University Abstract: Understanding brain function and disease requires studying interactions across multiple scales, from molecular and cellular mechanisms to circuit-wide dynamics and behavior. Biophysically detailed brain circuit models provide a powerful tool to integrate diverse experimental data across these scales, allowing researchers to simulate and analyze brain activity in a mechanistic and predictive manner. Leveraging AI and high-performance computing, we have developed large-scale, biologically realistic models of various thalamocortical circuits, including motor, somatosensory, and auditory regions, each comprising ~15,000 neurons and ~30 million synapses. These models incorporate experimentally derived neuronal morphologies, electrophysiological properties, and connectivity, enabling them to reproduce cell-type and layer-specific electrical activity patterns observed in vivo across scales, from membrane voltages and action potentials to local field potentials and electroencephalogram signals. Our models have been instrumental in elucidating the cellular and circuit mechanisms underlying neurological disease and psychiatric disorders such as schizophrenia, epilepsy, dystonia, Alzheimer's and Parkinson’s disease. They also offer insights into therapeutic targets to restore healthy neural dynamics through novel pharmacological and neurostimulation treatments, such as transcranial magnetic stimulation (TMS). These mechanistic models provide the foundation for constructing AI-driven Brain Digital Twins—virtual replicas of an individual’s brain state that integrate multimodal patient data to simulate brain function, predict disease progression, and optimize personalized treatment strategies. By bridging mechanistic modeling of brain circuits and AI, Brain Digital Twins have the potential to transform diagnosis, prevention and treatment of neurological and psychiatric conditions, addressing key challenges in brain research and clinical care. 10:10 – 10:40: NeuroelectroMagnetic Data Archive and high-performance computing for human EEG/MEG/iEEG data: the NEMAR-NSG platform, Arnaud Delorme; Seyed Yahya Shirazi; Dung Truong; Choonhan Youn; Subhashini Sivagnanam (UC San Diego); Russell A. Poldrack (Stanford University); Amitava Majumdar; Scott Makeig (UC San Diego) Abstract: The NeuroElectroMagnetic Data Archive and Tools Resource integrates open data, standardized annotation, and high-performance computing to accelerate reproducible analysis of human EEG, MEG, and iEEG. Built as a gateway to OpenNeuro, NEMAR indexes BIDS-formatted datasets with HED event annotations, provides search, quality assessment, and interactive visualizations, and brokers compute to SDSC resources through the Neuroscience Gateway for scalable, containerized workflows including EEGLAB-based pipelines. By coupling archive storage to NSG-mediated execution on systems such as Expanse, NEMAR minimizes data movement and enables end-to-end, provenance-preserving analyses at scale, supporting FAIR principles and cross-study meta-analysis. Together, NEMAR and NSG lower barriers for large-cohort neurophysiology, promote standardized event semantics, and provide a transparent path from dataset discovery to replicable results. 10:45 – 11:15: Neuron and NSG – parallel software meets parallel hardware, Ted Carnevale, Yale University Abstract: This presentation surveys how the Neuroscience Gateway has enabled productive use of the NEURON simulator to address problems in the domain of computational neuroscience that require high-performance and high-throughput computing. 11:20 – 11:50: HiAER-Spike: Running large spiking neural networks on an FPGA neuromorphic computing platform through NSG, Kenneth Yoshimoto, Diana Vins UC San Diego Abstract: HiAER-Spike is a hardware (FPGA)/software (Python) platform for reconfigurable neuromorphic computing. It has the potential to execute spiking neural networks up to 160 million neurons and 40 billion synapses. A Python interface allows users to specify neurons, connectivity, and input and direct timesteps. This tool is available through NSG. This talk will present integration of NSG with the hardware and show data demonstrating running a network on the FPGA. -----------------------------------------------------------------------------------------------

Nov. 5, 2025

Tadahiro Taniguchi speaking on Thursday, November 13 in Developing Minds global online lecture series

by Jochen Triesch

Dear colleagues, On November 13, the Developing Minds global online lecture series is proud to host Tadahiro Taniguchi from Kyoto University, Japan, speaking on: "Developing Collective Minds: Symbol Emergence and Co-creative Learning via Collective Predictive Coding“. Thursday, November 13, 2025 3 am EST (Eastern Standard Time, US) 8 am UTC (Universal Coordinated Time) 9 am CET (Central European Time) 5 pm JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/62848974907?pwd=wKdKlyBSVirfJqzrFfULhhOiu… Meeting-ID: 628 4897 4907 Kenncode: 735273 Abstract: This talk introduces the Collective Predictive Coding (CPC) hypothesis, a computational theory for how collective minds develop. CPC extends the Free Energy Principle (FEP) to the societal level, positing that interacting agents (both human and artificial) collaboratively minimize their collective prediction error through interaction. We argue that this process, functioning as a form of decentralized Bayesian inference embodied in interaction games, is the engine for symbol emergence. It provides a mechanism for agents to integrate their partial and heterogeneous perceptual information, leading to a shared, co-created understanding that exceeds the capabilities of any single agent. The CPC framework provides a scientific foundation for "co-creative learning," a new paradigm for human-AI interaction where systems learn with humans, rather than merely from them. This contrasts with traditional AI alignment, which often assumes a unilateral transfer of knowledge. CPC enables a bilateral, organic alignment that emerges from continuous, mutual interaction. This bottom-up, co-creative process offers a compelling alternative to top-down alignment methods, paving the way for a future of human-AI symbiosis. It allows humans and AI to co-evolve, generate new knowledge together, and realize the development of true collective minds. Short Bio: Tadahiro Taniguchi is a Professor at the Graduate School of Informatics, Kyoto University. He received his M.E. in 2003 and Ph.D. in Engineering in 2006, both from Kyoto University. He began his academic career at Ritsumeikan University, serving as an Assistant Professor, Associate Professor, and Professor in the College of Information Science and Engineering before assuming his current position at Kyoto University in 2024. During his tenure at Ritsumeikan, he was also a Visiting Associate Professor at Imperial College London from September 2015 to September 2016. Concurrently, he serves as a Senior Technical Advisor at Panasonic Holdings Corporation, an Affiliate Professor at Ritsumeikan University, a Director of the Tomorrow Never Knows association, Representative Director of the Bibliobattle Association, Director of the AI Robot Association (AIRoA), a Technical Advisor for ABEJA, Inc., and the Chair of the IEEE Cognitive and Developmental Systems Technical Committee. His research interests include artificial intelligence, emergent systems, and cognitive and developmental robotics. He is a pioneer in the field of "Symbol Emergence in Robotics," a constructive approach to understanding the mechanisms of language acquisition and semantic understanding from the perspective of the symbol grounding problem. Dr. Taniguchi has received numerous awards, including the Academic Encouragement Award from the Society of Instrument and Control Engineers (SICE), the Paper Award from the Institute of Systems, Control and Information Engineers (ISCIE), and the Advanced Robotics Best Survey Paper Award. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

Nov. 4, 2025