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ICPRAI 2026: Special Session on Frontiers of Artificial Intelligence for Medical Applications: Models, Reasoning, Perception, and Interaction
by Ghazaleh Khodabandelou Nov. 12, 2025

Nov. 12, 2025

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>

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[ICANN 2026] 1st CALL FOR PAPERS, SPECIAL SESSIONS, WORKHOPS AND TUTORIALS
by davide.rigoni.1＠unipd.it Nov. 12, 2025

Nov. 12, 2025

====================================================================== 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

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Neurotech School 2026: Registrations are now open
by Blaise Yvert Nov. 12, 2025

Nov. 12, 2025

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.

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Fully-funded PhD in computational neuroscience, Sheffield, UK
by Hazem Toutounji Nov. 12, 2025

Nov. 12, 2025

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.

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Postdoctoral position in circuit/systems neuroscience at McGill University (Krishnaswamy/Cook/Masset)
by Paul Masset Nov. 12, 2025

Nov. 12, 2025

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

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Permanent position in computational neuromodulation
by Axel Hutt Nov. 11, 2025

Nov. 11, 2025

------------------------------------------------------------------------------------ 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

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Postdoc and PhD positions in Paris
by German Sumbre Nov. 10, 2025

Nov. 10, 2025

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

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[Workshop][Dec 8 · San Diego] NSF BRAID Workshop: Bridging Neuroscience and Engineering for Energy-Efficient AI (+Posters).
by sbezugam＠umail.ucsb.edu Nov. 10, 2025

Nov. 10, 2025

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

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World wide VVTNS series (6th season): Wednesday, 12, 2025, at 11:00 am ET - Katharina Anna Wilmes, Institute of Neuroinformatics Zurich
by David Hansel Nov. 10, 2025

Nov. 10, 2025

[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

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Software Engineer - Behavioral Analysis Platform Development - Max Planck Institute of Animal Behavior
by Ahmed El Hady Nov. 7, 2025

Nov. 7, 2025

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

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Deadline approaching: Why are there neuroscientists? Workshop of Ideas in Neuroscience, Dec 5th
by Mateusz Kostecki Nov. 7, 2025

Nov. 7, 2025

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/

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4th Ultrasonic Vocalizations Conference (Online, Nov 20-21, 2025)
by Alicja Terelak Nov. 6, 2025

Nov. 6, 2025

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

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[seminar.wwtns] New recordings are available on the VVTNS website
by David Hansel Nov. 5, 2025

Nov. 5, 2025

[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

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Neural Data Analysis Workshop at Flatiron Institute (Feb 2-5, 2026) - Apply Now
by Edoardo Balzani Nov. 5, 2025

Nov. 5, 2025

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

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Open PhD position - Brain-inspired Machine Learning and Spiking Neural Networks
by Robert Legenstein Nov. 5, 2025

Nov. 5, 2025

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 ----------------------------------

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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 Nov. 5, 2025

Nov. 5, 2025

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. -----------------------------------------------------------------------------------------------

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Tadahiro Taniguchi speaking on Thursday, November 13 in Developing Minds global online lecture series
by Jochen Triesch Nov. 4, 2025

Nov. 4, 2025

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

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CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex
by Simon Bowes Nov. 4, 2025

Nov. 4, 2025

CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex (DEADLINE: November 30, 2025) Contact: Simon Bowes (S.C.Bowes(a)sussex.ac.uk<mailto:S.C.Bowes@sussex.ac.uk>) AISB 2026 will be held at the University of Sussex on the 1st-2nd July. For more information on the convention please see the website at https://aisb.org.uk/. Keynote Speaker: Anil Seth The AISB 2026 convention will follow the same overall structure as previous conventions, namely a set of co-located symposia, and we are seeking proposals for these symposia. Typical symposia last for one or two days, and can include any type of event of academic benefit: talks, posters, panels, discussions, demonstrations, outreach sessions, etc. Proposals for Symposia are welcomed in all areas of AI and cognitive science. Some suggested areas are shown below, although any proposal in the field of AI or cognitive science will be welcomed: * AI in Education * Agency & AI * Art & AI * Artificial Life * Cognitive & Computational Neuroscience * Computational theory of mind * Computational Intelligence * Consciousness * Embodiment and AI * Ethics of AI * Human and Machine Creativity * Hybrid Human-AI * Knowledge Representation * Machine Learning * Robotics * Bio-inspired approaches. * Simulation of Human and Animal Behaviour * The Turing Test and Philosophical Foundations of AI -------------------------------------------------------------------------------- Proposing a Symposium Each symposium is organized by its own programme committee. The committee proposes the symposium, defines the area(s) and structure for it, issues calls for abstracts/papers etc., manages the process of selecting submitted papers for inclusion, and compiles an electronic file for inclusion in the convention proceedings. Proposers are welcome to submit or be involved with more than one proposal. Proposers need not already be members the AISB and will not be required to become members. They will of course be encouraged to join! Deadline for symposium proposals: 30th November 2025 Notification of acceptance: 15th December 2025 -------------------------------------------------------------------------------- Submissions should consist of the following - A title. - A 300–1000-word description of the scope of the symposium, and its relevance to the convention along with the nature of the academic events (talks, posters, panels, demonstrations, etc.). - Whether the symposium is intended as a sequel to a symposium at a previous AISB conference. - An indication of whether submissions will be by abstract, extended abstract, or full paper. - Your preferences about the intended length of the symposium as a number of days (half a day, one day or two days), together with a brief justification. - A description (up to 500 words) of any experience you have in organization of academic research meetings (please note that it is not a requirement that you have such experience). - Names and affiliations of any invited speakers that you may have in mind for the symposium. - Your names and full contact details, together with, if possible, names and workplaces of the members of a preliminary, partial programme committee. - Please e-mail your completed proposal to Simon Bowes: S.C.Bowes(a)sussex.ac.uk<mailto:S.C.Bowes@sussex.ac.uk>

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[Meetings] [CFP] NeuroDesign in HRI Student EXPO & Competition (Submission Deadline: November 10, 2025)
by NeuroDesign in HRI Nov. 4, 2025

Nov. 4, 2025

Dear HRIers, HCIers, Roboticists and Neuroscientists around the world, We hope this information finds you well! Are you developing a human-interactive robot, a wearable system, or a neuro-inspired interface and algorithm? Do you have a prototype, an early-stage concept, or a compelling study that reimagines the future of human-machine interaction? Thank you once again for your interest in participating in the *NeuroDesign in Human-Robot Interaction (HRI) Student Competition* (previously with IEEE RO-MAN 2025). We truly appreciate your continued enthusiasm and support! *🌟 We're thrilled to announce an exciting new update!* The *NeuroDesign in HRI Student EXPO & Competition *has been scheduled again as a "Virtual" event on *November 19, 2025*. This unique showcase welcomes undergraduate, master's, and PhD students to present their innovative work and engage in live, cross-disciplinary dialogue with an international jury of experts from * Human-Robot Interaction * Brain-Computer Interfaces (BCI) * Cognitive Neuroscience & Psychology * Wearable and Soft Robotics * Design, Arts & Human-Centered Engineering * AI, Innovation, and Startups Whether your project is a concept, a working prototype, or an exploratory study, we are excited to see how it challenges conventional boundaries and contributes to the evolution of neuroadaptive, engaging, and socially impactful technologies. 📤 *Final Submission Deadline: Monday, November 10, 2025* If you missed the chance to participate last time — no worries! 🎉 You're warmly invited to submit your entry by including the following materials to secure your* 5-minute pitch* spot (We're dedicating on selecting *10 finalists* on a *rolling basis* and *there are still few seats available!!* ): * (1) Project Title (required) (2) Abstract (~100 words) (required) (3) Choose One of the following (choose one) (required):* * 🎥 A 1–2 minute video overview, or 🖼️ 5 informative slides, or 📄 A 2-page write-up (IEEE RAS format preferred)* *You can submit your materials directly through our Google Form:*👉 https://docs.google.com/forms/d/e/1FAIpQLSdHr36BmtfTxLbjHSmiY1CYapUiZPXHgsn… —*or simply reply to the email *(✉️ neurodesign.hri(a)gmail.com) with your materials attached (or share access links). *🏆 Awards & Recognition* For full details on all awards and recognitions, please see here: 🔗 https://www.neurodesign-hri.ws/2025#competition-guidelines 🔆 *Highlights include:* 🧠 Best Innovation in HRI NeuroDesign (3 awards) – up to €500 EUR ❤️ Most Popular Project Award (2 awards) – including a full APC waiver for Frontiers in Robotics and AI 🎁 Lucky Draw Prizes (5 prizes) and certificates for all finalists 💯 100% award opportunity – all 10 finalists will receive recognition! ✨ Prizes are doubled compared to the previous call! *📅 Key Dates* 🔺* Final Submission Deadline: November 10, 2025* 🔺* Event Date: November 19, 2025* Join us in shaping the future of human-machine symbiosis—where your creativity fuels the innovation of tomorrow. We can't wait to see your visionary ideas come to life! With warm regards, *The NeuroDesign in Human-Robot Interaction TeamNeuroDesign in HRI Student EXPO & Competition*

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Fully funded PhD position for Chinese nationals in rodent electrophysiology analysis at QMU (London)
by Bush, Daniel Nov. 4, 2025

Nov. 4, 2025

Dear colleagues Please see here<https://www.qmul.ac.uk/sbbs/postgraduate/phd-programmes/projects/display-ti…> for details of a fully funded PhD position for Chinese nationals at Queen Mary University (London, UK). The project will primarily focus on the analysis of rodent electrophysiology data from the hippocampal formation, under the joint supervision of Guifen Chen<https://www.qmul.ac.uk/sbbs/staff/guifen-chen.html> (QMU) and Daniel Bush<https://bushlab-ucl.github.io/> (UCL). Data collection and computational modelling could also be incorporated, according to the successful applicant's interests and skills. This project offers a unique opportunity to bridge neuroscience, data science, and AI, helping to uncover how the brain turns transient experience into lasting memory. Please note that applicants must be a Chinese citizen and hold a Chinese passport so that they are eligible for CSC funding<https://www.qmul.ac.uk/scholarships/items/china-scholarship-council-scholar…> <https://www.qmul.ac.uk/scholarships/items/china-scholarship-council-scholar…> . Experience of programming in Matlab or Python, a good understanding of maths and/or experience of rodent experiments are also highly desirable. For more details, please feel free to contact Guifen Chen (guifen.chen AT qmul.ac.uk) or Daniel Bush (d.bush AT ucl.ac.uk). Many thanks Dan ---------------------------------------------------- Dr. Daniel Bush GM01, Medical Sciences Building, Gower Street, London, WC1E 6BT Principal Investigator, UCL Human Electrophysiology Lab<https://bushlab-ucl.github.io/> Associate Professor, UCL Department of Neuroscience, Physiology and Pharmacology<https://www.ucl.ac.uk/npp/> Associate Editor, PLoS Computational Biology<https://journals.plos.org/ploscompbiol/>

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Postdoc positions in nanoscale modeling of neurons, synapses or astrocytes
by Erik De Schutter Nov. 4, 2025

Nov. 4, 2025

The Computational Neuroscience unit (https://www.oist.jp/research/research-units/cnu) at the Okinawa Institute of Science and Technology has openings for postdoctoral researchers interested in nanoscale computational neuroscience modeling. Initial duration is two years with option to extend. We have been spearheading the development of efficient computational tools to simulate electrophysiological, molecular and cell biology processes in neurons at the nanoscale (STEPS project http://steps.sourceforge.net) Examples are detailed simulations of the molecular control of vesicle pools and their release in presynaptic terminals (Science Advances 2025) and of how morphology affects calcium transients in perisynaptic astrocytic processes. We make use of recent experimental data like single cell proteomics and super-resolution imaging of live cells. The modeling technology allows for simulation of complete neurons with their spines. We are looking for postdocs interested in pursuing questions about the function of cerebellar or hippocampal neurons, synapses or astrocytes that require nanoscale simulation. Competences: Experience in computational modeling with a recent PhD in a relevant discipline such as computational biology, neuroscience, molecular biology, biophysics or biochemistry. Experience in programming in Python. Fluent English conversation and writing skills. Benefits / Offer: A seniority-based salary and relocation package are offered. Standard medical insurance and housing allowance are included. This an ideal position to gain experience in a prominent computational neuroscience lab and take part in our international collaborations. Please contact Prof. Erik De Schutter (erik(a)oist.jp) for inquiries.

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World wide VVTNS series (6th season): Wednesday, November 5, 2025, at 11:00 am ET - Georges Debrégeas CNRS, Paris
by David Hansel Nov. 2, 2025

Nov. 2, 2025

[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 Georges Debrégeas CNRS, Paris on the topic of Latent-aligned generative models uncover shared structure in spontaneous whole-brain dynamics? The lecture will be held on zoom on Wednesday, November 5, 2025, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Assessing how brain activity generalizes across individuals is a central challenge in experimental neuroscience. Traditional task- or stimulus-driven approaches align data through trial averaging and anatomical registration, but these methods fail for spontaneous activity, where no shared temporal reference exists. In this talk, I will introduce a statistical framework, called latent-aligned Restricted Boltzmann Machines, to build a common representational space from whole-brain recordings of spontaneous activity in multiple zebrafish larvae. This shared latent space, composed of spatially localized co-activation motifs or cell assemblies, allows bidirectional mapping of brain states: activity patterns from one fish can be encoded and decoded into another. The translated activity patterns retain their original spatial structure and show high plausibility within the recipient brain. We further use this shared space to segment spontaneous activity into discrete brain states and we quantify their Markovian transition statistics. Remarkably, these state-to-state dynamics are stereotyped across individuals, suggesting that spontaneous activity reflects intrinsic computational priors of neural processing. Together, these results demonstrate how probabilistic generative modeling can bridge individual variability and reveal conserved organizational principles of vertebrate brains. *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.*

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Call for Papers: "Spiking Neural Networks at Scale" in Frontiers in Neuroscience
by Wei Fang Nov. 2, 2025

Nov. 2, 2025

Dear colleagues: I am glad to tell you that the following research topic is now open for submissions in /Frontiers in Neuroscience/: Spiking Neural Networks at Scale: Learning Algorithms, Architectures, and Real-World Applications Refer to this link for more details: https://www.frontiersin.org/research-topics/74585/spiking-neural-networks-a… Please feel free to submit your article by 24 Dec 2025. -- ----------------------- Wei Fang Postdoc, Electrical & Computer Engineering Yale University, USA

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Collaborate with the International Brain Laboratory
by Nick Steinmetz Oct. 31, 2025

Oct. 31, 2025

Dear colleagues - The International Brain Laboratory <https://www.internationalbrainlab.com/> is entering a new phase. We have completed our "Brain-wide Map <https://www.nature.com/articles/s41586-025-09235-0>" of neural activity during a complex behavior, alongside detailed studies of the reproducibility of neural <https://elifesciences.org/articles/100840> and behavioral <https://elifesciences.org/articles/63711> data and the development of new methods <https://www.nature.com/articles/s41592-022-01742-6> and visualizations <https://viz.internationalbrainlab.org/app> for large-scale datasets, as well as many scientific studies <https://www.internationalbrainlab.com/publications>. Now, the IBL seeks to broaden access to its tools, pipelines, and methodologies to new research groups. You can now collaborate with the IBL on your own project: we aim to bring our approaches to new large-scale projects and we are looking for new partners! We can help with your Neuropixels recordings, multiphoton imaging, data processing, visualisation, data management, and more. Or, we can support work that you want to do using IBL's existing public data, for example if it requires running new large-scale analyses of those data that you need help with. These services are free to you, thanks to generous funding from the Simons Foundation, and provided by our world-class team of expert staff. Learn more and apply, with a short 2-page proposal, at: www.internationalbrainlab.com/ibl-core-apply Applications deadline now extended to Nov 8! Nick Steinmetz -- Associate Professor Department of Neurobiology & Biophysics University of Washington, Seattle www.steinmetzlab.net

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The recording of the VVTNS sixth season opening talk (Andrew Barto, October 29, 2025) is now available online
by David Hansel Oct. 31, 2025

Oct. 31, 2025

[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 > The VVTNS sixth season opening talk delivered on October 29, 2025 by Andrew Barto University of Massachusetts, Amherst on the topic What is So Interesting About Reinforcement Learning? is now available https://www.wwtns.online/past-seminars-2025-2026 <https://www.wwtns.online/past-seminars-2022-2023> *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 ᐧ --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62

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Call for papers – Special Issue “Simulating Developmental Neurobiology”
by Ruben A. Tikidji-Hamburyan Oct. 30, 2025

Oct. 30, 2025

Dear Colleagues, Frontiers in Computational Neuroscience is running a Research Topic, [“Simulating Developmental Neurobiology,”](https://www.frontiersin.org/research-topics/71541/simulatin… and invites submissions that advance computational modeling of neural development. This special issue, accessible to the global community, will gather multidisciplinary contributions. Scope of Interest We welcome original research articles, methodological papers, and concise reviews addressing, but not limited to, the following topics: - Computational models of neurogenesis, migration, and differentiation. - Multi-scale simulations linking molecular pathways to tissue dynamics. - Activity-dependent plasticity and circuit formation in development. - Integration of imaging, electrophysiology, and omics in modeling. - Novel algorithms or tools for modeling developmental processes. - Validation studies comparing models and empirical data. The submission deadline is 29 January 2026. Submission Procedure - Access the Research Topic [page](https://www.frontiersin.org/research-topics/71541/simulating-developm…: https://www.frontiersin.org/research-topics/71541/simulating-developmental-… - Click “Submit Your Manuscript.” - Select the appropriate article type (Original Research, Methods, or Review). - Ensure that “Simulating Developmental Neurobiology” is chosen as the Research Topic during the submission process. All submissions will undergo rigorous peer review while benefiting from Frontiers’ transparent review model. On behalf of the topic editors of Simulating Developmental NeurobiologyRuben Tikidji-Hamburyan --- Ruben A. Tikidji-Hamburyan, Ph.D. Senior Research Scientist Department of Physiology & Pharmacology School of Medicine and Health Sciences, George Washington University Washington, DC 20052, USA e-mail: rath(a)gwu.edu

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International Conference on Neural Information Processing (ICONIP) 2025, Nov. 20-24 at OIST
by Kenji Doya Oct. 30, 2025

Oct. 30, 2025

The 32nd International Conference on Neural Information Processing (ICONIP) 2025 is starting on November 20th at Okinawa Institute of Science and Technology (OIST). Here is an update: • The main conference is in-person, single-track format. Registration includes online access to >400 papers in Spring LNCS and CCIS. • Tutorials can be joined in-person or online. Registration allows access to recordings of all tutorials. • Registrations for the banquet, childcare, shuttle bus, etc. will close on October 31st (AoE). • Open Forum on AI Agents and Human Society is organized for dialogue with local citizens and students. Please visit the web https://iconip2025.apnns.org and register. We hope to see many of you in beautiful Okinawa. ***** The 32nd International Conference on Neural Information Processing (ICONIP) 2025 Date: November 20 to 24, 2025 Venue: Okinawa Institute of Science and Technology (OIST): https://www.oist.jp Web site: https://iconip2025.apnns.org Honorary Chairs: Shun-ichi Amari, Kunihiko Fukushima Keynote Lectures: Jun Tani (OIST): Development of Higher Cognitive Mechanisms: Insights From Neurorobotics Yew Soon Ong (NTU): Closing the gap: From Digital AI to Physically grounded intelligence Asako Kanezaki (IST): Machine Learning for Robots: From Perception to Action Tutorials: Taiji Suzuki (U Tokyo): Mathematical Theories of Deep Foundation Models Takuya Isomura (RIKEN): Free-energy Principle for AI Researchers and Neuroscientists Saori Tanaka (ATR, NAIST), Okito Yamashita (ATR, RIKEN), Yu Takagi (NIT): AI for Human Neuroscience Research Maryam Doborjeh, Nikola Kasabov (AUT): Improved Explainability with Spiking Neural Networks Yoshimasa Tawatsuji, Hiroshi Yamakawa, Yudai Suzuki (U Tokyo): Methodology for Designing Brain-Like AI Software Special Sessions: Sustainable Smart Villages – Harnessing Edge AI and TinyML for Low-Resource Communities Generative AI and Deep Learning for Advancing Affective Human-Robot Interaction Reliable, Robust and Secure Machine Learning Algorithms and 5 more Workshops: 18th International Workshop on Artificial Intelligence and Cybersecurity (AICS 2025) Quantifying and Simulating Multi-Neuromodulatory Dynamics in the Biological Brain and 5 more Open Forum: Society of Humans and AI Agents (in Japanese with English transcript) Yutaro Yamada (Sakana AI) Mizuki Oka (Chiba Tech, Artificial Life Institue) and other panelists General Chairs: Kenji Doya, Maryam Doborjeh Program Chairs: Tadahiro Taniguchi, Andrew Chi Sing Leung Inquiry: iconip2025(a)apnns.org ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://www.oist.jp/ncu

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2-year PostDoc position AI perception and control for robotics
by Bernabé Linares Barranco Oct. 30, 2025

Oct. 30, 2025

*2-year PostDoc position in Spain (Barcelona and Sevilla):* The Institute of Informatic and Industrial Robotics in Barcelona (http://www.iri.csic.es) and the Sevilla Microelectronics Institute (http://www.imse-cnm.csic.es) offer a joint MSCA Post-Doctoral 2-year fellowship for conducting cutting-edge AI research focused on exploring Spiking Neural Networks for AI systems in robotics perception and control. More details are available at: http://www2.imse-cnm.csic.es/neuromorphs/data/_uploaded/file/postdoc_IMSE-I… Interested candidates please contact: teresa.serrano(a)csic.es --

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Join COMPLEX NETWORKS 2025 – Explore the Full Program & Register Now
by Hocine Cherifi Oct. 30, 2025

Oct. 30, 2025

Dear Colleagues, We are pleased to invite you to participate to *COMPLEX NETWORKS 2025* in *Binghamton, New York, USA*, from *December 9 to 11, 2025*. The *final program* is now available: 📄 *Program Download:* [ https://drive.google.com/file/d/18s7apg46PBZCvu2YJg7P6IABoqLCWsNm/view?usp=… ] <https://drive.google.com/file/d/18s7apg46PBZCvu2YJg7P6IABoqLCWsNm/view?usp=…> 🌐 Also accessible soon on https://complexnetworks.org <https://complexnetworks.org?utm_source=chatgpt.com> This year’s conference will feature: 🎓 *Tutorials (December 8):* · *Yian Yin* (Cornell University): *Toward a Quantitative Understanding of Failure* · *Brennan Klein* (Northeastern University): *Networks, Shapes, Maps, and More* 🎤 *Keynote Speakers (December 9–11):* · *Kimberley Glass* (Harvard Medical School): *Network Modeling for Precision Medicine* · *Mark Newman* (University of Michigan): *Networks and Ranking in Sports, Markets, and Society* · *Michelle Girvan* (University of Maryland): *Meta-Learning with Reservoir Networks: Forecasting Complex Systems from Limited Data* · *Luis Bettencourt* (University of Chicago): *The Networks of Cities: From Complex Infrastructure to Human Development* · *David Stark* (Columbia University): *“This is not a Test!”: Testing After Preparedness* In addition to these highlights, the program includes *three full days of oral, lightning, and poster sessions* covering all aspects of *network science, computational social science, and machine learning on graphs*, along with *networking events* such as the Welcome Reception and Gala Dinner. 👉 *Register now:* [https://complexnetworks.org/registration/] <https://complexnetworks.org/registration/> We look forward to welcoming you in *Binghamton* this December for an inspiring and collaborative edition of COMPLEX NETWORKS. Best regards, *Hocine Cherifi* General Co-Chair – Complex Networks 2025 📍 https://complexnetworks.org <https://complexnetworks.org?utm_source=chatgpt.com> Join us at COMPLEX NETWORKS 2025 <https://complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/> Evolutionary Intelligence <https://link.springer.com/journal/12065>

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CRCNS 2025: Registration closes tomorrow at midnight!
by Garrison Cottrell Oct. 29, 2025

Oct. 29, 2025

Hi folks - Sorry for the late notice, as registration is going to close tomorrow, but even if you are not funded by the *NSF Collaborative Research in Computational Neuroscience program,* you are welcome to attend our PI's meeting, just prior to the SfN meeting, November 13th and 14th on the UCSD campus. The tentative meeting schedule is here <https://inc.ucsd.edu/events/crcns/2025/program.php>, and registration is here <https://urldefense.com/v3/__https://na.eventscloud.com/ereg/index.php?event…>. Keynote speakers are Terry Sejnowski and Bruno Olshausen. cheers, Gary Cottrell

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Postdoctoral Fellowships at Yale's Wu Tsai Institute (Deadline Nov 10)
by Dan Levenstein Oct. 28, 2025

Oct. 28, 2025

The Wu Tsai Postdoctoral Fellowships <https://wti.yale.edu/initiatives/postdoctoral> are now open to applications. Please share this email with early-career scientists interested in interdisciplinary research to advance fundamental understanding of cognition. The program offers a generous stipend for up to 3 years, discretionary funds and additional funding opportunities, access to cutting-edge facilities, protected time and programmatic opportunities for professional development, and a welcoming and inclusive community of trainees. International applicants are welcome. Applicants may propose to be co-mentored by Wu Tsai Faculty Members from different disciplines; work with single mentors while transitioning to a new field; or propose self-directed computational or theoretical projects with flexible mentoring arrangements. Candidates are encouraged to reach out to any of the over 180 Wu Tsai Faculty Members <https://wti.yale.edu/humans/faculty>. The deadline for applications is November 10. Candidates can find more information, past awardees, and application instructions here: https://wti.yale.edu/initiatives/postdoctoral Feel free to forward this email and encourage scientists who might be interested to apply. For questions, please contact wti(a)yale.edu <mailto:wti@yale.edu>.

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[Meetings] [CFP] Call for Submission: NeuroDesign in HRI Student EXPO & Competition @ Neuroscience 2025
by NeuroDesign in HRI Oct. 28, 2025

Oct. 28, 2025

Dear Colleagues, We hope this information finds you well and aligns with your interests. Are you developing a human-interactive robot, a wearable system, or a neuro-inspired interface? Do you have a prototype, an early-stage concept, or a compelling study that reimagines the future of human-machine interaction? Thank you once again for your interest in participating in the NeuroDesign in Human-Robot Interaction (HRI) Student Competition (previously with IEEE RO-MAN 2025). We truly appreciate your continued enthusiasm and support! 🌟 We're thrilled to announce an exciting new update! The NeuroDesign in HRI Student EXPO & Competition has been scheduled again as a “Hybrid” event (online + onsite), co-located with Neuroscience 2025 ( https://www.sfn.org/meetings/neuroscience-2025) in San Diego on November 19, 2025. This unique showcase welcomes undergraduate, master's, and PhD students to present their innovative work and engage in live, cross-disciplinary dialogue with an international jury of experts from * Human-Robot Interaction * Brain-Computer Interfaces (BCI) * Cognitive Neuroscience & Psychology * Wearable and Soft Robotics * Design, Arts & Human-Centered Engineering * AI, Innovation, and Startups Whether your project is a concept, a working prototype, or an exploratory study, we are excited to see how it challenges conventional boundaries and contributes to the evolution of neuroadaptive, engaging, and socially impactful technologies. 📤 Final Submission Deadline: Monday, November 10, 2025 If you missed the chance to participate last time — no worries! 🎉 You're warmly invited to submit your entry by including the following materials to secure your 5-minute pitch spot: (1) Project Title (necessary) (2) Abstract (~100 words) (necessary) (3) Choose One of the following (choose one) (necessary): 🎥 A 1–2 minute video overview, or 🖼️ 5 informative slides, or 📄 A 2-page write-up (IEEE RAS format preferred) You can submit your materials directly through our Google Form: 👉 https://docs.google.com/forms/d/e/1FAIpQLSdHr36BmtfTxLbjHSmiY1CYapUiZPXHgsn… —or simply reply to the email (✉️ neurodesign.hri(a)gmail.com) with your materials attached (or share access links). 🏆 Awards & Recognition For full details on all awards and recognitions, please see here: 🔗 https://www.neurodesign-hri.ws/2025#competition-guidelines Highlights include: 🧠 Best Innovation in HRI NeuroDesign (3 awards) – up to €500 EUR ❤️ Most Popular Project Award (2 awards) – including a full APC waiver for Frontiers in Robotics and AI 🎁 Lucky Draw Prizes (5 prizes) and certificates for all finalists 💯 100% award opportunity – all 10 finalists will receive recognition! ✨ Prizes are doubled compared to the previous call! 📅 Key Dates 🔺 Final Submission Deadline: November 10, 2025 🔺 Event Date: November 19, 2025 (San Diego & Online) Join us in shaping the future of human-machine synergy—where your creativity fuels the innovation of tomorrow. We look forward to celebrating your ideas and visionary work! With warm regards, The NeuroDesign in Human-Robot Interaction Team NeuroDesign in HRI Student EXPO & Competition Co-located with Neuroscience 2025

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PhD student positions in computational neuroscience / machine learning / bioinformatics
by Philipp Berens Oct. 27, 2025

Oct. 27, 2025

We are hiring two PhD student for machine learning projects about (1) spatial transcriptomics in the retina and (2) using biophysical modeling to understand energy consumption in the retina! In project (1), we want to better understand how neurons in the retina change their function and genetics over time. During your PhD, you will develop novel probabilistic models for cutting-edge data acquired in collaboration with Thomas Euler and Shahar Alon. As an ideal candidate, you are curious about open questions in neuroscience, and passionate about using your datascience skills to merge these data with previous datasets across modalities (Calcium imaging, spatial transcriptomics, single-cell transcriptomics) to get to novel insights about the retina and the visual system. https://jobs.medizin.uni-tuebingen.de/Job/6816/PhD-student-in-bioinformatic… In project (2), we want to use biophysical modeling to understand energy consumption in the retinaand integrate the resulting models with a deep reinforcement learning framework! The project will allow you to work with cutting-edge differentiable simulator for understanding principles of neural coding. This PhD is part of aDeutsche Forschungsgemeinschaft (DFG) - German Research Foundation <https://www.linkedin.com/company/deutsche-forschungsgemeinschaft/>-funded iRTG "limits2vision" (https://limits2vision.net/ <https://limits2vision.net/>) betweenUniversity of Tübingen <https://www.linkedin.com/company/eberhard-karls-universit-t-t-bingen/>andUniversité Paris-Sorbonne <https://www.linkedin.com/company/lettres-sorbonne-universite/>. https://jobs.medizin.uni-tuebingen.de/Job/6831/PhD-student-computational-ne… Both post will be filled as soon as possible. -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai

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Meetings - 2026 Nengo Summer School Call For Applications
by Madeleine Bartlett Oct. 27, 2025

Oct. 27, 2025

Dear colleagues, 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

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Ph.D. position in event-based computing / spiking networks at Champalimaud, Lisbon
by Christian Machens Oct. 27, 2025

Oct. 27, 2025

PhD position in computational neuroscience (event-based computing / spiking networks) As part of a Marie-Curie Doctoral Network (ELEVATE <https://www.elevate-dn.eu/index.php/about/>), we are offering a PhD student position. The proposed project sits a the interface of computational neuroscience and neuromorphic computing, and is embedded within a strong network of European academic and industrial partners. ENVIRONMENT: The student will be part of the Theoretical Neuroscience lab <https://www.machenslab.org/>, led by Christian Machens, which is hosted at the Champalimaud Centre for the Unknown in Lisbon, Portugal. The Champalimaud Foundation <https://www.fchampalimaud.org/> is a private, non-profit institute with a vibrant and highly international academic community. Many groups work in the field of systems and computational neuroscience, <https://www.fchampalimaud.org/champalimaud-research> providing a stimulating and exciting work environment. The student will also interact with the training network ELEVATE <https://www.elevate-dn.eu/index.php/about/> and spend several months at Rodolphe Sepulchre <https://sites.google.com/site/rsepulchre/>‘s lab at KU Leuven, Belgium. PROJECT: Across the animal world, biological networks are made up of different types of neurons. The most prominent division is that between excitatory (E) and inhibitory (I) neurons. However, modern AI system as well as most neuromorphic systems ignore this division and assume only one type of neuron. In this project, we will study the specific functional or structural qualities arising from a division into E and I neurons, and work out any potential benefits. One key design feature of networks with E and I neurons is that they are composed of intrinsically unstable subsystems, namely recurrently connected E neurons, that are controlled and stabilized by other subsystems, namely I neurons. The benefits of designing and controlling intrinsically unstable systems have long been known to engineers in other context, e.g., the desing of modern fighter aircraft. The goal of this project is to use some of these engineering insights in order to investigate how the interplay of excitation and inhibition can be utilized to perform specific computations. Since real neurons communicate with discrete events (spikes), a key aim is to work out the distinct computational roles of inhibitory and excitatory spikes, and apply the concepts to a few example systems. TASKS: * Study the relevant background literature from both engineering and neuroscience fields. Based on geometric and analytical insights from the framework of ‘spike coding networks’, develop analytical or geometric methods to study the roles of excitatory and inhibitory spikes. Develop a few canonical systems and use numerical simulations to demonstrate the role of excitatory and inhibitory populations in computational tasks. * Publish research articles, regular participation in top international conferences to present your work. * Complete an internship at KU Leuven with Prof. Rodolphe Sepulchre * Participate in yearly retreats organized by the doctoral network participants * Support the dissemination of software tools and concepts. SALARY AND CONDITIONS: The salary and benefits will follow standard EU rules. PhD students will receive their degree from the NOVA University of Lisbon. APPLICATION: We are looking for a candidate with strong quantitative skills (e.g., degree in physics, computer science, engineering, etc.) and curiosity about how the brain works. Interested candidates should submit a detailed CV, a cover letter explaining their interest in the position (1 page), a transcript for their BSc and Msc, and the contact information of 2 references to christian.machens(a)neuro.fchampalimaud.org. The application process will remain open until the position is filled. We strive to build a diverse work environment and encourage applications from all qualified individuals irrespective of their gender, age, cultural background, and disability status. Only candidates shortlisted for this position will be contacted for an interview. STARTING DATE: We anticipate a start in the year 2026. The earliest starting date is January 1st, 2026.

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World wide VVTNS series: Sixth season opening lecture, Wednesday, October 29, 2025, at 11:00 am EDT - Andrew Barto
by David Hansel Oct. 26, 2025

Oct. 26, 2025

*Important:* The seminar is at 11 am *EDT* Europe moved to Winter Time on Sunday, October 26, 2025 US will move to Winter Time next Sunday, November 2 This week 11 am EDT= 4pm CET Check the time where you are [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 sixth season opening lecture of the online VVTNS series Andrew Barto University of Massachusetts Amherst on the topic of What is So Interesting About Reinforcement Learning? The lecture will be held on zoom on October 29, 2025, at *11:00 am EDT * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *This talk aims to answer these questions along four dimensions. First is history. RL was the basis of AI long before the term AI was introduced in 1956. The first machine learning (ML) systems were based on RL even before digital computers existed. Despite notable early successes of ML based on RL, RL essentially disappeared from ML until relatively recently. A second reason for renewed interest in RL is the clarification of some misunderstandings that have been prevalent in the ML community. A third, and most important, reason for this resurgence is that new, or rediscovered, algorithms and connections to well developed mathematical and engineering methods have been worked out. Finally, a fourth reason for the renewed interest in RL is its strong links to animal reward systems, in particular, to the role that dopamine plays in motivation and learning. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

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Open PhD and Postdoc position at El-Boustani Lab (University of Geneva, Switzerland)
by sami_elboustani＠msn.com Oct. 21, 2025

Oct. 21, 2025

The El-Boustani Lab at the University of Geneva (Switzerland) is looking for a highly motivated PhD student and Postdoctoral fellow to research the plasticity mechanisms underlying the learning of goal-directed sensorimotor associations in mice. This project involves whole-brain mappings, two-photon calcium imaging of neuronal populations, as well as dendritic spine imaging in mice during the acquisition of perceptual decision-making tasks. Genetically encoded tools will be used to dissect the circuits that contribute to the learning of these tasks, and state-of-the-art behavioral modeling will help infer the timescale and nature of synaptic plasticity. Successful applicant will contribute to a research program focused on understanding how changes in specific sensorimotor synapses underpin the acquisition of new associations. We welcome applicants with diverse quantitative backgrounds, including but not limited to neuroscience, mathematics, physics, and engineering. We are especially interested in applicants with excellent programming skills (e.g., MATLAB, Python), experience with mouse behavior and imaging techniques in vivo. Switzerland offers a vibrant neuroscience community with outstanding research conditions and attractive salaries. Candidates should send their CV, at least two references and a brief cover letter describing their previous work and future goals to Sami El-Boustani: sami.el-boustani(a)unige.ch. Please visit http://elboustani-lab.org/ for more details.

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli Oct. 20, 2025

Oct. 20, 2025

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [https://as.nyu.edu/cns/DoctoralProgram.html https://neuroscience.nyu.edu/program.html] * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * David Heeger (also in Psychology) - Computational neuroscience, vision, attention. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli (also in the FlatIron Institute) - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams (also in the FlatIron Institute) - Statistical analysis of neural data. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://med.nyu.edu/departments-institutes/neuroscience/ https://neuroscience.nyu.edu/program.html] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the FlatIron Institute) - Neural computation and connectomics. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Dima Rinberg - Olfaction, sensory information processing, perception. * Shy Shoham - Methods for controlling, imaging, and analyzing neural systems. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Marcelo Mattar - Learning and planning in the brain/mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Data Science (deadline: 4 December) [https://cds.nyu.edu/phd-program/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. * Brenden Lake (also in Psychology) - Computational modeling of cognition, deep learning. * Grace Lindsay (also in Psychology) - Machine learning models of the brain/mind. * Mengye Ren (also in Computer Science) - Brain and cognitively inspired representation learning. Mathematics (deadline: 18 December) [https://gsas.nyu.edu/admissions/arc/programs/mathematics.html] * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Physics (deadline: 30 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. * Stefano Martiniani - Fundamental principles governing neural systems. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [https://as.nyu.edu/econ/graduate/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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PhD positions in Multi-level modelling of neuromodulation and lesioning
by Nada Yousif Oct. 19, 2025

Oct. 19, 2025

Applications are invited from PhD studentship candidates to work on multi-level modelling of neuromodulation and lesioning at the Biocomputation Research Group, University of Hertfordshire, UK. The projects are focussed on understanding the human nervous system in health and disease using computational modelling of neurons and networks. More details can be found at: https://tinyurl.com/2xe2sxva Informal enquiries to Dr Nada Yousif (n.yousif(a)herts.ac.uk) Application deadline: 14 November 2025 Studentship: approximately £20,700 per annum bursary plus payment of the student fees. Applicants from inside and outside the UK are eligible. The Centre for AI and Robotics Research and the University of Hertfordshire provide a very stimulating environment, offering a large Doctoral School with many specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in REF 2021, with 90% of the research submitted and all the research impact rated as internationally excellent or world leading. Information on the application procedure and an application form can be found at: https://tinyurl.com/3k8j9c3m

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Computational Psychology position at Tufts University
by Erin Munro Krull Oct. 19, 2025

Oct. 19, 2025

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Postdoctoral Research Fellow in Biocomputation at the University of Hertfordshire, UK
by Volker Steuber Oct. 17, 2025

Oct. 17, 2025

Post Title: Research Fellow in Biocomputation SBU/Department: School of Physics, Engineering and Computer Science ________________________________ FTE: 1 FTE (working 37 hours per week) Duration of Contract: Fixed term Contract (3 years) Salary: UH7 £36,333 pa with potential to progress to £43,155 pa on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: College Lane Campus, Hatfield, UK Closing Date: 14th June 2023 Interview Date: To be confirmed Reference Number: 048016 Date advert placed: 17th May 2023 Main duties and responsibilities We are seeking a full-time Research Fellow to join the Biocomputation Research Group in the School of Physics, Engineering and Computer Science at the University of Hertfordshire to conduct high-quality research in Computational Neuroscience. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team to investigate brain processes using methodologies such as computational modelling, machine learning and AI. Research to be conducted could, e.g., comprise modelling brain circuits like the olfactory bulb or the cerebellum and simulating and analysing their function. Additional impact could arise in machine learning, AI, data science, neurorobotics and neuromorphic computing. The successful candidate will be expected to establish a programme of research in collaboration with colleagues at UH and partner organisations in the UK and abroad. Leading the preparation and publication of research manuscripts is a key aspect of the role. Contributions to the preparation of research proposals and applications for funding to external bodies, such as the European Commission and the UK Research and Innovation (UKRI) are expected. The postholder will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders. Skill and experience required * Strong theoretical, computational and programming background in computational modelling and/or machine learning and/or data science and/or AI. * Background and expertise in computational neuroscience (e.g. spiking neural networks, brain function and anatomy, analysis of brain data). * Demonstrated experience to conduct independent research in computational neuroscience or a related field, e.g., through published research papers or monographs. * Applicants must be proficient in both written and oral English * The applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Qualifications required • An undergraduate honours degree (or equivalent) in Computer Science, Physics, Mathematics, Neuroscience, or a related discipline and a PhD (or expectation that one will soon be awarded) in a relevant discipline. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Contact Details/Informal Enquiries: Professor Volker Steuber, v.steuber(a)herts.ac.uk Professor Michael Schmuker, m.schmuker(a)herts.ac.uk Apply through: https://www.jobs.herts.ac.uk/go/048016 Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

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Postdoc position at U Oregon
by James Murray Oct. 15, 2025

Oct. 15, 2025

A postdoc position is available with Prof. James Murray (murraylab.uoregon.edu) at the University of Oregon’s NeuroAI Center (ion.uoregon.edu/neuroai) Application link: https://academicjobsonline.org/ajo/jobs/30896 Position Summary -- In our research, our group seeks to uncover the principles of how the brain performs computations and implements learning related to motor control and sensory perception. Some of the scientific questions that motivate our work are - How do different regions of the brain interact to learn new motor skills? - What are the principles that enable brains and artificial agents to learn efficiently from experience while minimizing forgetting? - How can models of learning and motor control be synthesized across different levels of description? Our research group aims at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and machine-learning analysis of experimental data. The candidate will have the opportunity to collaborate with a large network of experimental collaborators at University of Oregon and at other institutions with expertise in sensory processing (visual, auditory, and olfactory), motor control, naturalistic behavior, neural engineering, and brain-computer interfaces. While previous experience in computational neuroscience and machine learning are welcome, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are encouraged to apply as well. The Oregon NeuroAI Center is part of the Institute of Neuroscience at the University of Oregon (ion.uoregon.edu) a major hub for systems and theoretical neuroscience research. The University of Oregon is located in Eugene, Oregon, a vibrant college town in the Pacific Northwest with ample cultural offerings and phenomenal access to outdoor recreation. We offer a competitive salary commensurate with the candidate’s experience, and remote work arrangements may be considered. Required Qualifications -- Successful candidates will have a PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. Applicants should have a strong quantitative background including at least some coding experience. Application -- Application link: https://academicjobsonline.org/ajo/jobs/30896 Application reviews will start on December 1st and will continue until the position is filled. Please send inquiries to jmurray9(a)uoregon.edu. Applications should include a CV, two-page statement of research interests, and contact information for three letters of reference.

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[Newsletter RTAIM] 22nd RTAIM Seminar | Call Abstract: Rio de Janeiro International Workshop: Ethics and Artificial Intelligence | Call for Papers (JAIC) | Others]
by steven gouveia Oct. 15, 2025

Oct. 15, 2025

Dear All, You are welcome to attend the 22th rTAIM Online Seminar, with the participation of Markus Rüther (Jülich Research Centre and University of Bonn, Germany), 15 October 2025, 3:00pm - 4:30pm (Lisbon Time) via Microsoft Teams with the title “Meaningfulness Gaps in Medical AI". Link available: https://ifilosofia.up.pt/activities/seminar-22-rtaim Or: * Link: https://teams.microsoft.com/meet/3331048785485?p=LOIA0dGCgnqZXqSGdW * Meeting ID: 3331048785485 * Password: Yh2sE7zQ Moreover, the Call for Abstract for the Rio de Janeiro International Workshop: Ethics and Artificial Intelligence is still open until the 18 October 2025: https://trustaimedicine.weebly.com/rio-janeiro-workshop-ethics-ai.html New book out: “Ethics in Artificial Intelligence: A Multidisciplinary Approach”, Ethics Press. Info: https://ethicspress.com/products/ethics-in-artificial-intelligence Finally, paper submissions for a special issue on AI, 4E and Consciousness at the Journal of Artificial Intelligence and Consciousness is available here (deadline: 31 August 2025): https://www.worldscientific.com/page/jaic/callforpapers02. Sincerely yours, RTAIM Team

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Postdoc position in Digital twin brain for Alzheimer's Disease (Spase Petkoski, INS Marseille)
by Spase Petkoski Oct. 15, 2025

Oct. 15, 2025

Job Offer: Postdoctoral Researcher in Digital Twin Brain for Prediction of Longitudinal Trajectories in Alzheimer’s Disease Location: Institut de Neurosciences des Systèmes <http://ins-amu.fr/>, Aix-Marseille University, France More info: https://ins-marseille.squarespace.com/jobs/job-posting-postdoc-alzheimer-1 Summary: We are recruiting a Postdoctoral Researcher for an ANR-funded project called Digital Twin Brain for prediction of longitudinal trajectories in Alzheimer’s Disease (AD). The postdoc will be based at Aix-Marseille University, at the Institut of Systems Neuroscience <https://ins-amu.fr/> in Marseille and will work under the lead of Spase Petkoski, INSERM CR (tenured researcher, equivalent to an Associate Professor), part of the Theoretical Neuroscience group led by Viktor Jirsa. A close collaboration is also envisaged with the clinical practitioners from the Neurology department of the public hospital at Marseille (APHM), the neurologists Mira Didic and Olivier Felician who work with patients with dementia, as well as with JF Mangin, the head of neuroimaging at Neurospin in Paris. As a postdoctoral researcher, the candidate will be responsible for developing and implementing computational models for the molecular mechanism of pathological proteins in AD into the whole-brain neuroinformatics platform The Virtual Brain <https://www.thevirtualbrain.org/tvb/zwei/> (TVB). Specifically, this will be done through glutamatergic and GABAergic synapses, utilizing existing neuronal mass candidates from the literature and from the previous work by the group. The model will also combine the mechanisms of prion-propagation. The modeling work will be accompanied by resting-state fMRI data analysis to identify the biomarkers of interest. The main cohort for the project will be Memento <http://www.memento-cohort.org/>, but ADNI3 <https://adni.loni.usc.edu/data-samples/adni-data/> will be also used. The candidate is thus expected to be familiar with concepts from Nonlinear Dynamics, in particular, solving and analyzing coupled ordinary differential equations. In the later stage, the project will also require an application of model inversion with simulation-based inference that should facilitate establishing links between the model parameter space and the neuroimaging data features. The latter will be a key component of this project and will also require addressing issues related to model degeneracy and resilience. The successful candidate will join a dedicated team developing models and methodologies for better explanation of neuroimaging data. This work has a broader impact than AD, it will establish an interpretable link across scales from synapses to neuronal populations (the network nodes in TVB), and significantly amplify the effectiveness of TVB in comprehending multiscale effects within brain networks. This, in turn, will facilitate the enhanced usability of digital twins in the clinical context and in diagnosing brain health status. Required Qualifications: PhD (or equivalent) in computational neuroscience or related discipline. Experience in one or more of the project research topics, including Brain Network Models, Dynamical systems, Prion Spreading, Machine Learning, and Alzheimer’s Disease. Proficiency in programming with Python, with expertise in scientific computing packages. Proficiency in spoken and written English. Desired Qualifications: Background in neuroscience. Familiarity with TVB. Experience running parallelized large-scale simulations on supercomputers. Expertise in time-series analysis, data science and data visualization. About The Theoretical Neuroscience Group: We are a multinational and interdisciplinary team dedicated to unraveling the spatiotemporal organization of large-scale brain networks. Our work encompasses mathematical and computational modeling of large-scale network dynamics, the analysis of human brain imaging data, and the development of neuroinformatics tools for studying large-scale brain networks, particularly in the context of brain disorders such as epilepsy, Alzheimer's disease, and multiple sclerosis, and healthy aging. The group is heavily involved in developing standard models for digital twins in the infrastructure project of EBRAINS <https://www.ebrains.eu/>. Terms of Employment: This is a fully funded multi-year position with excellent benefits. The initial appointment is for one year, with the potential for extension up to 3 years. Salary will be commensurate with experience. Application Deadline: November 10th. Starting Date: January 2026 How to Apply: Please send a CV, a short cover letter describing your research interests, and contact details for 2–3 referees to spase.petkoski(a)univ-amu.fr <mailto:spase.petkoski@univ-amu.fr>. We look forward to welcoming a highly motivated and qualified postdoctoral researcher to our team to advance our understanding of large-scale brain network models in the context of Alzheimer’s Disease and to move closer to real digital twins of the brain.

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PhD position in cognitive computational neuroscience
by Mingbo Cai Oct. 15, 2025

Oct. 15, 2025

*PhD position in cognitive computational neuroscience * The lab led by Dr. Mingbo Cai at University of Miami ( https://cailab-miami.org/) has a PhD position open for Fall 2026. Students with computational background and/or experience with neuroimaging are highly encouraged to apply. The lab has an ongoing project on fMRI study of decoding spontaneous thoughts and we are looking for a student excited about this area, either for basic science or mechanistic study of rumination and worry. Students interested in using computational modeling and novel cognitive tasks to study decision making and learning, as well as computational psychiatry, are also welcome to apply. The deadline of application is December 1, 2025. Please apply through the cognitive and behavioral neuroscience division: https://www.psy.miami.edu/graduate/doctoral-programs/index.html Mingbo Cai Assistant Professor Department of Psychology University of Miami

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Scholarships available for BCCN Berlin International Doctoral Program Computational Neuroscience
by GraduatePrograms Oct. 14, 2025

Oct. 14, 2025

Dear colleagues, we at the Bernstein Center for Computational Neuroscience Berlin are happy to announce that we have two DAAD-funded scholarships for doctoral students available! We will select two excellent doctoral student candidates to receive scholarships from the DAAD as part of the Graduate School Scholarship Program (GSSP). * The scholarships begin in October 2026 à 1,300€/ month, for up to a maximum of 4 years, * In addition to the scholarship, health insurance, accident insurance, and liability insurance will be covered by the DAAD, * Scholarship recipients can also receive assistance for their rent payments, * Scholarship recipients with families may receive additional funding, * Scholarship recipients will have access to a country-specific travel budget from the DAAD, * Scholarship recipients will have access to additional Study and Research grants, * Can have German courses financed by the DAAD. To be eligible for the GSSP scholarships, the student must: * Have an excellent academic profile and must have completed their master's (or equivalent) by the start of the funding period (October 2026), * Can not have completed their master's (or equivalent) more than 6 years ago, * At the time of application (March 2026), can not have been a resident in Germany for more than 15 months, * Can not already have a PhD, * Can not perform more than 25% of their doctoral work outside of Germany, and external work can not take place at the start of the doctoral project. To be awarded the GSSP scholarship, the student must: 1. Apply to the BCCN PhD program -->*Application deadline March 15th 2026!* 2. A member of the BCCN Berlin must agree to supervise and accept the student to their group for the duration of their PhD. 3. A project proposal outlining the general goals of the doctoral project must have been agreed upon by the student and the BCCN Berlin supervisor by the application deadline. For more information on how to apply to the International Doctoral Program Computational Neuroscience of the BCCN Berlin, please see our website: https://www.bccn-berlin.de/doctoral-program-application.html Finally, we organize an Information session about our graduate programs which will take place in January 2026: https://www.bccn-berlin.de/events-list/information-day-2026-international-g… Please share this information with anyone who may be interested. Best regards, Lisa Velenosi -- Dr. Lisa Velenosi Teaching Coordinator of the SFB1315 & BCCN Berlin Humboldt-Universität zu Berlin Philippstraße 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093-98503

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CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex
by Simon Bowes Oct. 14, 2025

Oct. 14, 2025

CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex (DEADLINE: November 30, 2025) Contact: Simon Bowes (S.C.Bowes(a)sussex.ac.uk<mailto:S.C.Bowes@sussex.ac.uk>) AISB 2026 will be held at the University of Sussex on the 1st-2nd July. For more information on the convention please see the website at https://aisb.org.uk/. Keynote Speaker: Anil Seth The AISB 2026 convention will follow the same overall structure as previous conventions, namely a set of co-located symposia, and we are seeking proposals for these symposia. Typical symposia last for one or two days, and can include any type of event of academic benefit: talks, posters, panels, discussions, demonstrations, outreach sessions, etc. Proposals for Symposia are welcomed in all areas of AI and cognitive science. Some suggested areas are shown below, although any proposal in the field of AI or cognitive science will be welcomed: · AI in Education · Agency & AI · Art & AI · Cognitive & Computational Neuroscience · Computational theory of mind · Computational Intelligence · Consciousness · Embodiment and AI · Ethics of AI · Human and Machine Creativity · Hybrid Human-AI · Knowledge Representation · Machine Learning · Robotics · Bio-inspired approaches. · Simulation of Human and Animal Behaviour · The Turing Test and Philosophical Foundations of AI -------------------------------------------------------------------------------- Proposing a Symposium Each symposium is organized by its own programme committee. The committee proposes the symposium, defines the area(s) and structure for it, issues calls for abstracts/papers etc., manages the process of selecting submitted papers for inclusion, and compiles an electronic file for inclusion in the convention proceedings. Proposers are welcome to submit or be involved with more than one proposal. Proposers need not already be members the AISB and will not be required to become members. They will of course be encouraged to join! Deadline for symposium proposals: 30th November 2025 Notification of acceptance: 15th December 2025 -------------------------------------------------------------------------------- Submissions should consist of the following - A title. - A 300–1000-word description of the scope of the symposium, and its relevance to the convention along with the nature of the academic events (talks, posters, panels, demonstrations, etc.). - Whether the symposium is intended as a sequel to a symposium at a previous AISB conference. - An indication of whether submissions will be by abstract, extended abstract, or full paper. - Your preferences about the intended length of the symposium as a number of days (half a day, one day or two days), together with a brief justification. - A description (up to 500 words) of any experience you have in organization of academic research meetings (please note that it is not a requirement that you have such experience). - Names and affiliations of any invited speakers that you may have in mind for the symposium. - Your names and full contact details, together with, if possible, names and workplaces of the members of a preliminary, partial programme committee. - Please e-mail your completed proposal to Simon Bowes: S.C.Bowes(a)sussex.ac.uk<mailto:S.C.Bowes@sussex.ac.uk>

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AAAI 2026 workshop "Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence"
by Anton Arkhipov Oct. 14, 2025

Oct. 14, 2025

Dear Colleagues, Join us for the Workshop “Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence” at the AAAI 2026 conference in Singapore on January 27, 2026. We are bringing together researchers in neuroscience and AI to explore how brain principles can inspire multimodal models, and how AI can push the frontiers of neuroscience. Please see details below and at https://neuroai-multimodal-workshop.github.io/. We invite submissions of full papers or abstracts that describe new research, work in progress, or position statements on relevant topics. The full paper submissions should be 8 pages maximum, excluding references, and the abstract submissions should be 2 pages maximum, excluding references, in the AAAI two-column format. Please submit your work by October 30, 2025 at https://openreview.net/group?id=AAAI.org/2026/Workshop/NeuroAI. Invited speakers include * Dmitri "Mitya" Chklovskii (Flatiron Institute, NYU) * Andreas Tolias (Stanford University) * Martin Schrimpf (EPFL) * Guozhang Chen (Peking University) * Adeel Razi (Monash University) * Mike Zheng Shou (National University of Singapore) Organizing Committee: * Reza Abbasi-Asl, University of California, San Francisco * Asim Iqbal, Tibbling Technologies / Weill Cornell Medicine * Sophia Sanborn, Stanford University * Shinya Ito, Allen Institute * Anton Arkhipov, Allen Institute Description of workshop: This workshop will unite researchers in artificial intelligence, computational neuroscience, and neuromorphic engineering to explore the critical two-way exchange between biology and machine learning. Our main objective is to bridge these fields to accelerate foundational progress in multimodal natural intelligence. The “Neuro → AI” theme will investigate how principles from cortical microcircuits, such as sparse coding, dendritic nonlinearities, and cell-type diversity, can inspire novel, efficient, and robust AI architectures like transformers and graph-based models. Conversely, the “AI → Neuro” theme will showcase how advanced machine-learning techniques are revolutionizing neuroscience, enabling new insights into neural dynamics through AI-driven analysis of large-scale imaging, electrophysiological, and behavioral data. By bridging the gap between biologically grounded inductive biases for AI and scalable computational tools for neuroscience, this workshop aims to catalyze research that unifies theory, experiment, and application. Topics: * Biologically inspired machine learning architectures * Neuro-inspired mechanisms for efficiency (e.g., sparsity, inhibitory-excitatory balance) * AI-driven analysis of large-scale neuroscience data * Unsupervised representation learning and causal inference for circuit discovery * Gradient descent-based training of bio-realistic neural models * Open-source software and reproducible research in NeuroAI * Neuromorphic engineering and hardware implementation Format of Workshop: This will be a one-day, in-person workshop. The format is designed to be highly interactive, featuring a series of invited talks from world-renowned experts, two panel discussions for in-depth Q&A, and spotlight presentations for high-impact contributed papers. A central poster session will provide a forum for detailed discussion and networking. The day will conclude with a roundtable discussion to identify key community challenges and a sponsored social gathering to foster continued collaboration. Attendance: We welcome researchers and practitioners from academia and industry with an interest in the intersection of neuroscience and artificial intelligence. At least one author of each accepted submission must be present at the workshop. The maximum number of attendees is to be determined by the room size and will be communicated by AAAI. Please reach out if you have any questions. We look forward to seeing you in Singapore! Best regards, Reza Abbasi-Asl, Asim Iqbal, Sophia Sanborn, Shinya Ito, and Anton Arkhipov. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org<https://portal.brain-map.org/>

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Open Rank Faculty Position in Artificial Intelligence in Psychological Science
by Stacie Warren Oct. 13, 2025

Oct. 13, 2025

*Open Rank Faculty Position in **Artificial Intelligence in Psychological Science* *Position Description* The Department of Psychology in the School of Behavioral and Brain Sciences (BBS) at The University of Texas at Dallas (UT Dallas) is accepting applications for a tenure system position for a faculty member whose work interfaces with artificial intelligence (AI). Candidates with postdoctoral training or equivalent research experience are preferred, especially those who have led or contributed to multidisciplinary teams bridging psychology with computer/data science. We welcome profiles spanning: (a) ML/AI as advanced statistics; (b) core AI/generative technologies; and (c) computational social science. Strongest consideration may be given to applicants who apply modern AI pipelines and tooling to substantive psychological questions. Evidence of an emerging or established record of high-impact publications; experience building reproducible, well-documented code and analyses; and potential (or success) for extramural funding are highly valued. Ideal candidates can connect AI methods to psychological theory (e.g., cognitive modeling, language and social behavior, clinical assessment, developmental science), teach AI-in-Psychology courses effectively, and mentor students from a range of backgrounds. Preference will be given to applicants who demonstrate responsible/ethical AI practices, open science commitments, and a collaborative approach that enhances BBS research centers and cross-school partnerships. Candidates at all levels will be considered. Teaching responsibilities could include undergraduate and graduate level courses in artificial intelligence in psychology, cognitive science, and/or courses in the applicant’s area of expertise, as well as mentoring of doctoral, master’s-level, and undergraduate students. The appointment commences for the fall 2026 semester. *Qualifications* Minimum Education and Experience: A PhD or equivalent in Psychology, Cognitive Science, or a related discipline is required prior to appointment. Candidates are expected to demonstrate the ability to work effectively in a highly collaborative, engaging, and dynamic environment comprised of individuals with a range of backgrounds, skills, and perspectives. We are seeking candidates able to produce research and scholarly or creative achievements that enhance the program and the discipline, and able to deliver high quality teaching using evidence-based practices to effectively engage students from a range of backgrounds and experiences. Candidates are expected to demonstrate clear potential for (at the Assistant Professor rank), or an existing track record of, obtaining and maintaining extramural research funding. *UT Dallas School of Behavioral and Brain Sciences and the Department of Psychology* The University of Texas at Dallas is a Carnegie R1 Research Institution and is among the fastest growing universities in the nation. The School of Behavioral and Brain Sciences (BBS) is one of seven schools at UT Dallas and ranked 2nd in total new research grants and research expenditures over the past year. Within its walls, the School of Behavioral and Brain Sciences (BBS) stands uniquely positioned to advance knowledge and improve lives through the efforts of its 111 faculty and 3,000 students. In North Texas, BBS serves as a trailblazer where research, education, and clinical training come together to prepare future leaders. It is home to world-class faculty with work ranging from bench-top to bedside studies, and ample resources and opportunities for students and faculty alike. In the past year, BBS was recognized by the BlueRidge Institute for being #1 in Texas and #3 in the United States for NIH funding for schools of its type. Within BBS, faculty members are surrounded by colleagues who interface with science and technology at every level of translation – with a keen focus on using our science to impact the health and well-being of people around the world while training the scientific leaders of tomorrow. Collectively, BBS leads UT Dallas in R&D rate and new awards per faculty member as well as many student success metrics across the university. The Department of Psychology is one of three departments within the School of Behavioral and Brain Sciences. The department houses 44 faculty and has almost 1,400 students. The Department of Psychology was responsible for over $12 million in new extramural grants in the past year and is home to a large number of multi-grant funded faculty members. The department has a distinguished legacy of world class research across cognitive neuroscience and developmental science. It also houses multiple pioneering AI-engaged faculty innovating in the fields of cognitive science and human-computer interface research. The Department has a rich history of housing well-known research centers that lead their respective fields around the globe. For example, psychology faculty are active participants in several BBS affiliated research centers at UT Dallas including the Center for BrainHealth, Center for Vital Longevity, and Center for Children and Families, with multiple centers led by Psychology faculty. The Department of Psychology is home to the BS in Psychology, BS in Cognitive Science, and BS in Child Learning and Development. It is also home to the MS in Psychology, the MS in Human Development and Childhood Disorders, and the PhD in Psychology. It also shares degree programs with the Department of Neuroscience for the MS in Applied Cognition and Neuroscience and the PhD in Cognition and Neuroscience. The BS in Psychology represents the 7th most popular undergraduate major at UT Dallas. In fall 2026, we will enroll our first cohort of Clinical Psychological Science PhD students along with the opening of our Psychological Sciences and Education Center in summer 2026. *Application Instructions* Applicants should upload the following via the online application <https://jobs.utdallas.edu/postings/30422>: · Full curriculum vitae and cover letter summarizing their interests and qualifications for the position. · Statement of teaching philosophy describing their conceptualizations of teaching and learning, and teaching and assessment methods, and how their teaching practices will engage students from a range of backgrounds and experiences. · Research statement describing past, present, and future research, including how they mentor (or will mentor) student researchers and foster (or will foster) collaborative research environments. · Full contact information for at least three academic or professional references. Priority will be given to completed applications received by *December 1, 2025*. Reviews will continue until the position is filled or the search is closed on March 1, 2026. *The University and Community * UT Dallas is a top public research university located in one of the nation’s fastest-growing metropolitan regions. Our seven schools offer more than 140 undergraduate and graduate programs, plus professional certificates and fast-track programs. Our student body is approximately 30,000 strong, reflecting students from over 100 countries and a multiplicity of perspectives and experiences. Over 65% of our undergraduate students receive some form of need- or merit-based financial aid; and 66% of graduating seniors have no student debt compared to 48% in Texas and 32% in the nation (2021 TICAS report). UT Dallas is committed to graduating well-rounded members of the community whose education has prepared them for rewarding lives and productive careers in a constantly changing world. Our mission centers on providing Texas and the nation with excellent and innovative education and research. The University’s rapid growth is fueled by our creative and enterprising spirt, bright students, innovative programs, renowned faculty, dedicated staff, engaged alumni, and research that matters. The University promotes a welcoming environment through programs and initiatives designed to support engagement and success for members of the campus community. Employee benefits include a range of physical and mental wellness resources, competitive insurance and retirement plan options, lactation facilities located throughout the campus, and Employee Resource Groups (ERGs) comprised of individuals who share common interests to help build community among UT Dallas faculty and staff (e.g., Universal Access ERG, Military and Veteran ERG, UT Dallas Young Professionals). Additionally, the University’s modern campus, 400+ campus organizations, and prime location foster collaboration and community. Situated in Richardson, Texas, the University’s location offers abundant professional development and entertainment options. The Dallas-Fort Worth (DFW) metroplex is rich with visual and performing arts venues, museum districts, professional and semi-professional athletics teams, botanical gardens, accessible trails, and much more, ensuring there’s something for everyone. The University’s partnerships with regional higher education institutions, local school districts, numerous companies, and the Richardson Innovation Quarter <https://richardsoniq.com/> (Richardson IQ) – a major hub for innovation, entrepreneurship, and educational activities – promotes collaboration, professional growth, and educational excellence. *Equal Employment Opportunity * The University of Texas at Dallas is committed to providing an educational, living and working environment that is welcoming, respectful, and inclusive of all members of the university community. The University prohibits unlawful discrimination <https://policy.utdallas.edu/utdbp3090> against a person because of their race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, or veteran status. -- Stacie L. Warren, Ph.D. Associate Professor Department of Psychology School of Behavioral and Brain Sciences The University of Texas at Dallas 800 West Campbell Road, GR 41 Richardson, TX 75080 Phone: (972) 883-3818 E-mail: stacie.warren(a)utdallas.edu <sholub(a)utdallas.edu>

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Opening: Assistant Professor in Computational Neuroscience at the University of Cincinnati
by vanderdt＠ucmail.uc.edu Oct. 13, 2025

Oct. 13, 2025

The Department of Biological Sciences at the University of Cincinnati invites applications for a tenure-track Assistant Professor in Computational Neuroscience. We seek candidates working in areas including (but not limited to): • neural circuit modeling & theoretical analysis • sensory systems and their computations • computational methods & algorithm development • integration of robotics, ML/AI, big data, behavior & neural data The successful applicant will establish an externally funded research program, teach at undergraduate/graduate levels, and supervise students. Collaborations across neuroscience, engineering, computer science, cognition, and medicine are strongly supported. Review of applications begins December 1, 2025; application details are available online. More info / Apply: https://jobs.uc.edu/job/Cincinnati-Assistant-Professor%2C-Biological-Scienc… Inquiries may be directed to Dr. Stephanie Rollmann, stephanie.rollmann(a)uc.edu

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