- Comp-neuro - lists.cnsorg.org

🧠 [Meetings] Call for Participation – NeuroDesign in HRI Student Design Competition (Online, Nov. 19)
by NeuroDesign in HRI Nov. 18, 2025

Nov. 18, 2025

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

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Graduate student positions in Systems Neuroscience (Masset Lab)
by Paul Masset Nov. 16, 2025

Nov. 16, 2025

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

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Visit Open Brain Institute at SfN 2025 for Live Virtual Lab Demos
by Darshan Mandge Nov. 15, 2025

Nov. 15, 2025

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

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Assistant Professor Position at Bocconi University
by Nicolas Brunel Nov. 15, 2025

Nov. 15, 2025

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

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Free Python Course for Neuroscientits
by Fabrizio Damicelli Nov. 14, 2025

Nov. 14, 2025

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

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CRCNS 2025 PI's meeting streaming
by Garrison Cottrell Nov. 13, 2025

Nov. 13, 2025

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

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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. 16, 2025

Oct. 16, 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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3 Faculty Positions open at UAlbany - Deadline Oct 31! - Please circulate!
by Annalisa Scimemi Oct. 13, 2025

Oct. 13, 2025

💥 Job Alert! 📢 We’re hiring an ***Assistant Professor in Behavioral Neuroscience***. Come be my neighbor and join our amazing community. Apply quickly before the deadline sneaks up! HERE <https://t.co/z2oryPK8GI> 💥 Job Alert! 📢 We’re hiring an ***Assistant Professor in Quantitative Systems Neuroscience***. Come be my neighbor and join our amazing community. Apply quickly before the deadline sneaks up! HERE <https://t.co/TFkXnx1LCs> 💥 Job Alert! 📢 We’re hiring an ***Assistant Professor in Computational Cognitive Neuroscience***. Come be my neighbor and join our amazing community. Apply quickly before the deadline sneaks up! HERE <https://t.co/RgQjeabw0H> -- *Annalisa Scimemi, PhD* Associate Professor, Department of Biology, SUNY Albany Adjunct Professor, Department of Physics, SUNY Albany President, Society for Neuroscience Hudson-Berkshire Chapter <https://sites.google.com/site/sfnhudsonberkshire/home> Instructor, Ion Channels in Synaptic and Neural Circuit Physiology <https://meetings.cshl.edu/courses.aspx?course=c-ion>, CSHL Mail. 1400 Washington Ave (Bio 329) - Albany, NY 12222 (USA) Tel. +1-518-442-4367 (Office) / +1-518-442-4580 (Lab) Fax. +1-518-442-4767 Email. scimemia(a)gmail.com / ascimemi(a)albany.edu SUNY webpage <https://www.albany.edu/biology/faculty/annalisa-scimemi> / Google webpage <https://sites.google.com/site/scimemilab2013/> / Blog webpage <https://neurovoice.blogspot.com/> / My Zoom <https://albany.zoom.us/my/ascimemi>

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University College London NeuroAI Annual Conference - 5th Nov - in person and online
by Padraig Gleeson Oct. 13, 2025

Oct. 13, 2025

Dear Colleagues, The 6th annual UCL NeuroAI Conference will take place on Wednesday 5 November 2025 at UCL Great Ormond Street Institute of Child Health in London. The event features leading speakers at the cutting edge of machine learning and neuroscience. The UCL NeuroAI initiative aims to be a central hub where researchers working in neuroscience, AI, machine learning, and related fields can interact and stay updated on the latest advancements in these intersecting areas. Our annual conference is an important opportunity for these communities to gather, make new connections, and benefit from insights in one another’s fields. *Keynote speakers* We are privileged to have a distinguished line-up of speakers and experts confirmed to date. Leena Chennuru Vankadara (Gatsby Computational Neuroscience Unit, UCL) Netta Cohen (University of Leeds) Nathaniel Daw (Princeton University) Quentin Huys (Institute of Neurology, UCL) Kenneth Harris (Institute of Neurology, UCL) Armin Lak (University of Oxford) All information including how to register can be found here <https://www.ucl.ac.uk/research/domains/neuroscience/ucl-neuroai>. Spaces are limited so we recommend booking asap to avoid disappointment. Registration fee for the conference is £5. If you are unable to pay for any reason, please contact neuroaievents(a)ucl.ac.uk. *Poster and lightning talks - Submissions are now open!* This year we will also be accepting abstract submissions for posters or a short lightning presentation as part of the event. The deadline to submit your abstract (200 words) is *Wednesday 15th October, 12pm*. Further details regarding the poster and lighting talks can be found here <https://www.ucl.ac.uk/research/domains/neuroscience/ucl-neuroai>. *About UCL NeuroAI* The last decade has seen phenomenal advances in the fields of machine learning (e.g. deep learning, reinforcement learning, and AI). While these changes have already had considerable impact on most areas of science they hold a particular resonance for neuroscience. Crucially, AI shares a common lineage with neuroscience and fundamentally machine learning and the brain employ similar computations to process and compress information. For these reasons AI provides a means to emulate neural functions and the circuits supporting them, providing insights to aid our understanding of the brain and cognition. Equally, AI tools provide a means to discover, segment, and track distinct neural and behavioural states - yielding more efficient experiments and accelerating the pace of discovery. In turn, this understanding feeds back into the design of more effective AI architectures and models. Essentially, AI problems posed in neuroscience both require and inspire further advances in AI. *Sponsorship* We are immensely grateful for the support from the Sainsbury Wellcome Centre <https://www.sainsburywellcome.org/web/>, the Crick Partner Networking Fund <https://www.crick.ac.uk/research/research-partnerships/university-partnersh…> and AIBIO-UK <https://aibio.ac.uk/>. We look forward to seeing you there.

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What can you do with 1000 neurons? Task 2
by Nicolas P. Rougier (inria) Oct. 13, 2025

Oct. 13, 2025

Dear all, The first task (simple decision) has been solved by a number of participants. Most of the models were able to survive in the proposed environment for quite a long time, and one entry used the optimal decision strategy, with only 22 neurons (out of 1000 available). The challenge is still running with a new task (cued decision, which might be simpler) and a new agenda (you have two months). You'll find instructions at https://github.com/rougier/braincraft the rules for the new task. Reminder: you have have 1000 neurons (leaky rate models), 100 seconds of training time and 10 runs for evaluation. The difficulty comes from the imposed constraints. You have to 2 months to propose your model. Best, Nicolas Rougier. -- Nicolas P. Rougier —— www.labri.fr/perso/nrougier Institute of Neurodegenerative Diseases, Bordeaux

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Abstract submission open for the UK Neural Computation meeting July 9-11, Imperial College London
by Mark Humphries Oct. 13, 2025

Oct. 13, 2025

Abstract submission is now open for the UK Neural Computation meeting 2025 at Imperial College on 9-11th July 2025. Submit here: https://forms.gle/kg5xaSfBX3sN7tUN9 Deadline of 12th May 2025 4 submitted abstracts will be selected for main meeting talks. Please spread the word! Conference information: https://neuralcomputation.uk/ Sponsors: ARIA Scalable Neural Interfaces program<https://www.aria.org.uk/opportunity-spaces/scalable-neural-interfaces> Francis Crick Institute<https://www.crick.ac.uk/> Organisers: Danyal Akarca (Imperial) Dan Goodman (Imperial) Mark Humphries (Nottingham) Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Connect: Bluesky<https://bsky.app/profile/markdhumphries.bsky.social> / LinkedIn<https://www.linkedin.com/in/mark-humphries-65a460212/> / X<https://x.com/markdhumphries> Essays on the brain and science: drmdhumphries.medium.com<https://drmdhumphries.medium.com/> Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) in hardback<https://press.princeton.edu/books/hardcover/9780691195889/the-spike?_gl=1*h…..>, paperback<https://press.princeton.edu/books/paperback/9780691241487/the-spike>, ebook<https://press.princeton.edu/books/ebook/9780691213514/the-spike-0?_gl=1*1uf…..> & audiobook<https://press.princeton.edu/books/audio/9780691224091/the-spike?_gl=1*37xz7…..> <https://press.princeton.edu/books/audio/9780691224091/the-spike?_gl=1*37xz7…..> read by Anand Jagatia This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Denis Mareschal speaking on Thursday, October 16 in Developing Minds global online lecture series
by Jochen Triesch Oct. 13, 2025

Oct. 13, 2025

Dear colleagues, On October 16, the Developing Minds global online lecture series is proud to host Denis Mareschal from Birkbeck College London, UK, speaking on: "The challenges and rewards of pursuing real-word Developmental Science“. Thursday, October 16, 2025: 10:00 am EST (Eastern Standard Time, US) 15:00 UTC (Universal Coordinated Time) 16:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/67246871085?pwd=4s1XHEOL4tihLhbbqVwprgBih… Meeting-ID: 672 4687 1085 Kenncode: 745870 Abstract: Historically, the understanding of the brain-based mechanisms of learning in young children has relied on well-controlled lab-based experiments. This was for good scientific reasons. First, there was a drive to isolate individual causes of behaviours and therefore to carefully control the environments in which children behaved during a study. Moreover, the equipment required to assess the neural correlates of behaviours were cumbersome and difficult to move so children's mobility had to be restricted. Recent developments in wearable and wifi-enhanced technologies have now allowed us to literally "untether" children and explore their brain and behaviour as they move around and interact naturally. This has opened new avenues for research, but has equally revealed important new challenges to the way that we approach developmental sciences. In this seminar, I will draw on my lab's recent work on children's sensory cue integration, neural synchrony during children's collaborative problem solving and the trials and tribulations of translating basic cognitive neuroscience research into real-world effective classroom interventions to highlight some of the challenges that contemporary developmental sciences faces. Short Bio: Professor Denis Mareschal is Director of the Centre for Brain and Cognitive Development, at Birkbeck University of London, and a founding member of the Centre for Educational Neuroscience. After completing a BA in Natural Science at Cambridge, he moved on to studying learning -- initially in the form of an MA in Psychology and Artificial Intelligence at McGill in Montreal, Canada and then through completing a DPhil in Psychology at Oxford. Professor Mareschal's research has focussed on identifying the mechanisms of learning and development in infancy and childhood through the combined use of behavioural studies, computational modelling and neuroimaging. He has received a number of awards for his work, including the Marr Prize from the Cognitive Science Society, the Young Investigator Award from the International Congress on Infant Studies and the Margaret Donaldson Prize from the BPS Developmental Section. Over the last 10 years he has led the UnLocke project (Unlocke.org) developing a neuroscience-based primary school maths and science education intervention. He is committed to taking neuroscience out of the lab and into the real-world, in terms of primary research and in terms of translational impact. 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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5th Applied Active Inference Symposium - November 12-14, 2025
by Zohreh Rahmannejad Oct. 11, 2025

Oct. 11, 2025

Dear Colleagues, (Apologies for any cross-posting.) Join us for an exciting exploration of Active Inference applied across various systems. The theme of the Symposium is “Industry” and will feature a Keynote session with Karl Friston. This free, online event will consist of livestreams, pre-recorded videos, and interactive sessions. 📣 Presenters and Workshop facilitators (alphabetical): Andrea Hiott, Andrew Pashea, Bart van Erp, Bradly Alicea, Chris Fields, Daniel Friedman, Denise Holt, Ian Tennant, Jean-Francois Cloutier, Karl Friston, Maria Luiza Iennaco, Matthew Brown, Nicolas Hinrichs, Octopus, Samuel Montanez, PabloFM, Peter Thestrup Waade, Robert Worden, Sam A Senchal, Shanna Dobson, Sonia de Jager, and more to come! See full Program for all details. 🎯 Highlights: 1. Broad range of projects across 20+ presenters, ranging from sustainability and urban planning to biologically plausible decision-making models 2. Interactive workshops and panels, including a session on open-source strategies 3. Connecting with useful materials (educational, code, etc) and people who are learning and applying Active Inference 🔔 Register now to stay updated on additional interactive events and workshops being added over the next month! 🖥️ Registration link: https://lnkd.in/dVsTMY7Q 🌐 More information: https://lnkd.in/dVKdFSz9 Symposium co-organizers: Alexander Ororbia, Alexandra Mikhailova, Andrew Pashea, Bradly Alicea, Christian Martens, Cory Slater, Daniel Friedman, Marc Broberg, Maria Garcia, Maria Luiza Iennaco, PabloFM, Rorik Smith, Sylvia Zhang, Bleu Knight, Zohreh Rahmannejad, Alex Vyatkin

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Technical assistant position in neuroscience at LMU Munich
by Anna Schroeder Oct. 10, 2025

Oct. 10, 2025

*Description of the Schroeder Lab* The newly established group of Prof. Dr. Anna Schroeder at LMU Munich is seeking an excellent candidate for a *technical assistant (full-time)* position in *neuroscience*. The position is initially offered on a 2-year fixed-term basis with the possibility of extension. For more information, visit www.annaschroederlab.com. Our lab investigates the neural circuits underlying emotions, motivations, and physiological needs, focusing on how these internal states shape behavior in dynamic environments. Specifically, we study the subthalamic circuits of the zona incerta, an enigmatic brain region that integrates internal states, external sensory cues, and past experiences to adapt behavior flexibly. To dissect the *neural circuit mechanisms driving behavior*, we employ cutting-edge methodologies including: * /In vivo/calcium imaging with 2-photon microscopy or Miniscopes * Whole-cell patch-clamp electrophysiology * Single-cell RNA sequencing * Optogenetics * Chemogenetics * Viral circuit tracing * State-driven behavioral paradigms * Transgenic mouse models * Advanced machine learning techniques Our ultimate goal is to advance understanding of brain function and develop novel therapeutic strategies for psychiatric disorders through neuromodulation. Prof. Dr. Schroeder is deeply committed to training, mentorship and career development for lab members. The lab offers state-of-the-art neuroscience in a very supportive environment. ** *Your tasks and responsibilities* Participation in the preparation and implementation of research and teaching, as well as the organization of laboratory processes: * Conduct DNA/RNA sequencing and genotyping * Manage and plan mouse colonies * Perform histology, immunostaining and microscopic data analysis * Plan, order and maintain lab equipment and supplies; train new users * Prepare solutions and handle general lab upkeep (waste, autoclaving, glassware) * Manage documentation (genetic engineering, virus/S1, work safety, invoices) * Support student internships and ongoing research projects * Help foster an inclusive, hardworking and supportive lab environment ** *Eligibility requirements * Candidates must meet the following criteria: * Completed vocational training and state recognition as a Biological Technical Assistant (BTA) or a completed Bachelor of Science or equivalent * Proficiency in written and spoken English * Ability to work independently and structure workflows effectively * Strong motivation, attention to detail, and a positive, proactive attitude * Organizational skills, reliability and diligence * Willingness to engage in continuous professional development * Enjoyment of working in an international, research-based environment * Effective communication and teamwork skills Beneficial qualifications: * Experience in managing mouse lines, DNA/RNA sequencing and histology * Proficiency in written and spoken German * Knowledge of neurobiology and cell biology *What we offer* Our lab is located at the LMU Biocenter on the high-tech campus in Martinsried. We offer an interesting and responsible position with excellent training and development opportunities: * The *best environment for neuroscience in Germany*: o LMU Munich is often ranked as the best university <https://www.shanghairanking.com/rankings/arwu/2025> in Germany and is consistently ranked among the top 50 universities worldwide, <https://www.timeshighereducation.com/world-university-rankings/lmu-munich> both overall and for life sciences specifically o According to the Nature Index <https://www.nature.com/nature-index/supplements/nature-index-2024-neuroscie…>, LMU Munich is the top academic institution in Germany for neuroscience * *Advanced neuroscience research*with cutting-edge tools in state-of-the-art facilities * *Collaborative and inclusive environment*, including partnerships with leading local institutions (e.g., Max Planck Institutes, DZNE, Helmholtz Institutes, TU Munich) all connected via the Munich Center for Neurosciences * *Mentorship and career development**support* from Prof. Dr. Schroeder, a young and highly motivated PI who is genuinely invested in the success of her team members * Opportunity to live in *Munich*, a vibrant, international city near lakes and mountains with one of the world's strongest neuroscience communities and a very high quality of life <https://www.mercer.com/en-be/insights/total-rewards/talent-mobility-insight…> * Remuneration according to the collective agreement for the public service of the federal states (TV-L) in _E9_ * Various LMU corporate benefits <https://www.lmu.de/en/about-lmu/working-at-lmu/additional-services/corporat…> *How to apply* Applications *must provide the following *and can be sent to *Prof. Dr. Schroeder *by email at*anna.schroeder(a)bio.lmu.de *(one PDF file, maximum 5 MB): * Cover letter detailing prior training and/or research experience and why you’d like to join the Schroeder lab * CV * Names and contact details for 1-2 referees The application deadline is *November 15, 2025*. The position can start as soon as possible.

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Call for Abstract and Register Now: EBRAINS Student Conference on Interdisciplinary Brain Research 2026
by Alper Yegenoglu Oct. 10, 2025

Oct. 10, 2025

Dearall, We’re excited to announce the*1st EBRAINS Student Conference on Interdisciplinary Brain Research*, taking place*11–13 March 2026*in*Nice, France*, at the historic*Château de Valrose*(Université Côte d’Azur). Organised by the EBRAINS Education Programme and Student Ambassadors, this conference provides a unique platform for*early-career researchers*across fields,from*neuroscience, computer science, psychology, medicine,***and more,to exchange ideas, present their work, and connect with peers and mentors in an open, collaborative environment. The programmeincludes: ·Scientific sessions with contributed talks and posters ·Keynote lectures and panel discussions ·Hands-on workshops and training sessionson EBRAINS tools ·Social and networking activities in the heart of the French Riviera *Abstract submission is open!* *Deadline:****20****October 2025* We welcome submissions of both theoretical and empirical work, including preliminary research and emerging ideas. Submityour abstract here:https://easychair.org/cfp/EBRAINSC26 <https://easychair.org/cfp/EBRAINSC26> *Registration****is now****open!* Student and early-bird discountsareavailable. Full details and updates:https://www.ebrains.eu/news-and-events/student-conference-2026 <https://www.ebrains.eu/news-and-events/student-conference-2026> We hope to see you in Nice for an inspiring exchange of ideas and perspectives in brain research! Best regards, Alper Yegenoglu On the behalf of the EBRAINS Education Programme and Student Ambassadors

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Postdoc Position in Pediatrics
by Srinivas Kota Oct. 10, 2025

Oct. 10, 2025

A postdoctoral position is available in the Department of Pediatrics, Division of Neonatal–Perinatal Medicine at UT Southwestern Medical Center. The research focuses on developing artificial intelligence–based biomarkers from physiological signals to assess brain injury severity in newborns with hypoxic-ischemic encephalopathy (HIE). https://www.utsouthwestern.edu/research/postdoctoral-scholars/assets/biomed… -- Srinivas Kota, PhD, MSCI Email: svkota(a)gmail.com Ph: (618) 319-0471 (cell) https://www.linkedin.com/in/drsrinivaskota <https://www.linkedin.com/in/srinivas-kota-ph-d-8a32568>

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Tenure-track assistant professor in computational neuroscience and/or cognition
by Haefner, Ralf Oct. 9, 2025

Oct. 9, 2025

Tenure-track assistant professor in computational neuroscience and/or cognition The Department of Brain and Cognitive Sciences at the University of Rochester invites applications from outstanding early-career candidates in Computational Neuroscience and Cognition for a tenure-track assistant professorship. This position is part of a new cluster of faculty positions in Mathematics, Physics, Biology, and the Brain and Cognitive Sciences supported by the Simons Foundation. We seek to hire scholars who develop computational theories and models to deepen our understanding of the brain in real-world, complex, or naturalistic contexts, or to understand collective decision-making and communication in groups of individuals. Researchers who develop and test computational models across levels of representations (from the brain to the mind) are particularly welcome to apply. The department’s research in this area utilizes large-scale, high-resolution electrophysiology and neuroimaging of both individuals and groups, state-of-the-art augmented and virtual reality, and a wide range of methods to study behavior from active information seeking in the fovea, to interactive, naturalistic communication and the transmission of complex information across individuals, as well as the joint learning and coordination of group behavior and collective decision-making. Successful candidates are expected to develop a highly competitive research program that establishes collaborations within the department, especially within our cluster of cutting-edge experimentalists studying neural systems and behavior in naturalistic settings. Our department is vibrant and highly interdisciplinary, with strong ties to other departments across engineering, the arts and sciences, and the medical campus (incl. Neuroscience, Neurosurgery, Computer Science, Physics, Biology, Biomedical Engineering, Linguistics, the Eastman School of Music, and the Goergen Institute for Data Science and Artificial Intelligence). The City of Rochester, NY is a diverse, LGBTQ+ friendly, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods. Questions concerning this position can be addressed to Prof. Florian Jaeger (fjaeger(a)ur.rochester.edu <mailto:fjaeger@ur.rochester.edu>), chair of the search committee, or Prof. Dora Biro (dbiro(a)ur.rochester.edu <mailto:dbiro@ur.rochester.edu>), chair of the Department of Brain and Cognitive Sciences. For more information about the department, see http://www.bcs.rochester.edu/. Qualifications Applicants should have an outstanding record of research and a commitment to teaching and mentorship at the graduate and undergraduate levels. They should hold a PhD degree (or equivalent) in a relevant domain. Where to apply https://apply.interfolio.com/173951 When to apply While applications after the deadline may be considered, for full consideration, applicants should complete their application before November 1, 2025. Equal Employment Opportunity Statement EOE, including disability/protected veterans The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Classes). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates for all persons consistent with our values and based on applicable law.

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Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026.
by Auke Ijspeert Oct. 8, 2025

Oct. 8, 2025

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

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Deadline approaching for Neuronal Spike Timing: Precision, Reliability, and the Neural Code from 1995-2025
by Paul Tiesinga Oct. 8, 2025

Oct. 8, 2025

Dear Colleague In 1995 Mainen and Sejnowski published a striking result showing neurons in mammalian neocortex are capable of producing precise, reliable spike trains in response to fluctuating inputs. This work inspired sustained inquiry into the role of spike timing in sensory, motor and cognitive processes, including learning and memory, as well as theoretical investigations into neural coding, plasticity, and the mechanisms of precise spike timing. In recognition of the 30th anniversary of this seminal paper, Biological Cybernetics invites submissions to a special article collection on the topic “Neuronal Spike Timing: Precision, Reliability, and the Neural Code from 1995-2025.” Whether you have contributed to past research in this area and would like to write a retrospective review, or if you are actively pursuing new research building on spike timing, we encourage you to submit an article to this collection. The submission window was opened on May 1 2025, and will remain open for another 3 weeks until November 1, 2025. Full details of the call for submissions are available at https://link.springer.com/collections/aadfbhcbii. We look forward to receiving your submission. Please direct inquiries regarding scope and suitability to pjthomas(a)case.edu and p.tiesinga(a)science.ru.nl. Sincerely Peter Thomas, Case Western Reserve University Paul Tiesinga, Radboud University

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PracticalMEEG2025: A few seats left
by Anne-Sophie Dubarry Oct. 8, 2025

Oct. 8, 2025

Hi all, The next edition of PracticalMEEG will take place in Aix-en-Provence, from Oct. 27-31, and we’re almost at full capacity! This hands-on workshop brings together researchers from all over the World to practice advanced EEG and MEG analysis methods, exchange expertise, and promote open and reproducible neuroscience. If you haven’t registered yet, this is your last chance to secure your spot! REGISTER HERE <https://cuttingeeg.org/practicalmeeg2025/attendees/> Join us for an exciting and collaborative week of learning, sharing, and advancing MEEG science together! Best, AnneSo

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NITMB Postdoctoral Fellows: Call for Applications
by William L. Kath Oct. 7, 2025

Oct. 7, 2025

*NITMB is seeking early-career researchers who have interest in transforming biological research and inspiring new mathematical discoveries. * This opportunity is open to researchers who want to develop mathematical, theoretical, and computational approaches to study any area of biology. NITMB Fellows conduct independent research programs, in collaboration with NITMB faculty members or others outside the Institute, focused on developing new mathematics and statistics relevant to challenges in biology. This call is aimed at young scientists trained in mathematical, computational, and theoretical biology and related disciplines with exceptional research promise and with an interest in exploring new opportunities and challenges emerging from biological phenomena. Prior experience with biology is a plus but not required. The Fellows will be part of a large endeavor to build new bridges between mathematics, theory, and biological disciplines. Applicants will need to have completed a doctoral degree by September 1, 2026 in one of the following fields: Mathematical and Physical Sciences Biological Sciences Computer Science Engineering or related fields This three-year postdoctoral fellowship offers a competitive salary and a generous research budget. The goal of the fellowship is to empower an early-career scholar to define their research path with opportunities for collaboration with NITMB members. Appointments can start as early as April 1, 2026, but no later than January 1, 2027, and will be at the internal University rank of Postdoctoral Scholar. This position is open to individuals less than seven years post-attainment of their Ph.D. degree. *Benefits* Competitive salary Generous research and travel stipends Access to NITMB resources and both Northwestern and UChicago campuses A thriving intellectual community with mentorship from NITMB leadership and Faculty Members Offices located at the iconic John Hancock Center, 875 N Michigan Ave, in Chicago, IL Guaranteed acceptance to NITMB workshops No teaching obligations, allowing full dedication to groundbreaking research; teaching opportunities are available upon request Leadership options for NITMB activities and outreach programs *Application Materials* Upload the following documents to the submission portal at https://www.mathjobs.org/jobs/application/27042. Application review will begin on Nov. 1, 2025, and continue until all positions are filled. The formatting of all documents should be in 11-point font, single-spaced, with minimum 0.5 inch margins. Cover letter (1 page) Curriculum vitae (2-3 pages) Description of research interests to be pursued at the NITMB including potential NITMB collaborators (4-5 pages) List of publications and preprints (separate from CV) Three letters of recommendation from faculty members or senior research scientists who are active in the field of study in question *Further Info: *https://www.nitmb.org 875 N Michigan Ave Suite 4010 Chicago, IL 60611

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COSYNE 2026: Abstract submission closes soon; Travel grants
by Tomas Hromadka Oct. 7, 2025

Oct. 7, 2025

==================================================== Computational and Systems Neuroscience 2026 (Cosyne) MAIN MEETING 12 - 15 March 2026 Lisbon, Portugal WORKSHOPS 16 - 17 March 2026 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 16 October 2025, 11:59PM PST Workshop proposal submission is now open. Workshop proposal submission deadline: 23 October 2025, 11:59PM PST Travel grant applications are now open. *Undergraduate* travel grant application deadline: 12 November 2025, 11.59PM PST Other travel grants application deadline: late December 2025 ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ---------------------------------------------------- TRAVEL GRANTS ---------------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least EUR500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside Europe or having other declared needs. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see www.cosyne.org/travel-grants. ----------------------------------------------------- COSYNE 2026 COMMITTEES ----------------------------------------------------- ORGANIZING COMMITTEE General Chairs: Tatiana Engel (Princeton) and Kevin Franks (Duke) Program Chairs: Kimberly Stachenfeld (DeepMind) and Mark Histed (NIH) Workshop Chairs: N Alex Cayco Gajic (ENS) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chairs: Eva Dyer (Georgia Tech) and Talmo Pereira (Salk) Mentorship and Networking Chairs: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Lea Duncker (Columbia) and Kevin Miller (DeepMind) Development Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Mark Histed (NIH) Co-chair Kimberly Stachenfeld (DeepMind) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Helen Barron (Oxford) Marcus Benna (UCSD) Adrian Bondy (Princeton) N Alex Cayco Gajic (ENS) Hannah Choi (Georgia Tech) Ben Cowley (CSHL) Brian DePasquale (BU) Sridhar Devarajan (IISc) Laura Driscoll (Allen Institute) Eva Dyer (U Penn) Becket Ebitz (U Montreal) Noemi Elteto (DeepMind) Arseny Finkelstein (Tel Aviv U) Juan Alvaro Gallego (Imperial) Matt Golub (U Washington) Laura Grima (Janelia) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Y Kate Hong (CMU) Michele Insanally (U Pittsburgh) Jonathan Kao (UCLA) Ann Kennedy (Northwestern) Kishore Kuchibhotla (JHU) Anna Levina (U Tubingen) Camilo Libedinsky (National Institute of Singapore) Laureline Logiaco (CU Anschutz) Emily Mace (Med Cntr Gottingen) Emily Mackevicius (Basis) Francesca Mastrogiuseppe (Champalimaud) Alexander Mathis (EPFL) Luca Mazzucatto (U Oregon) Dan McNamee (Champalimaud) Jorge Mejias (UVA) James Murray (U Oregon) Hendrikje Nienborg (NIH) Ramon Nogueira Manas (U Chicago) Gouki Okazawa (Inst of Neurosci, China) Marino Pagan (U Edinburgh) Agostina Palmigiano (UCL) Hannah Payne (NYU) Rui Ponte Costa (Oxford) Carolina Rezaval (U Birmingham) Erin Rich (NYU) Alex Roxin (Centre de Recerca Matematica) Shreya Saxena (Yale) Benjamin Scott (BU) Alireza Soltani (Dartmouth) Nicholas Steinmetz (UW) Carsen Stringer (Janelia) Jennifer Sun (Cornell, DeepMind) Marie Suver (Vanderbilt) Tatjana Tschumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brandon (Brady) Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (Centre de Recerca Matematica) Anqi Wu (Georgia Tech) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See www.cosyne.org/mailing-lists for details.

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Postdoctoral and PhD Positions in Theoretical Neuroscience at SISSA, Trieste
by Francesca Mastrogiuseppe Oct. 7, 2025

Oct. 7, 2025

We invite applications for postdoctoral and PhD positions in the group led by Francesca Mastrogiuseppe at SISSA, Trieste (Italy). The group develops models and statistical tools to investigate how complex dynamics and computations emerge from the coordinated activity of neurons in large-scale cortical circuits. Depending on the candidate’s interests, projects may range from theoretical work to the analysis of experimental data from partner laboratories. Our group is part of the Data Science and Machine Learning initiative at SISSA. SISSA is an elite postgraduate research institution in Mathematics, Physics, and Neuroscience. The working language is English, and the staff is diverse and strongly international. Trieste is a seaside city with a strong scientific community and excellent quality of life. Postdoctoral positions: We seek candidates with research experience in Computational Neuroscience or other quantitative disciplines. Applicants should submit a CV and a brief (½ page) statement of interest. PhD positions: We are looking for candidates with a strong quantitative background and a curiosity to engage with biological questions. Admission is through the doctoral program in Theoretical and Scientific Data Science ( https://datascience.sissa.it/) The official call will open late 2025; informal enquiries and expressions of interest are encouraged. Pre-PhD scholarships and internships may be available. Please send application materials and enquiries to francesca.mastrogiuseppe at sissa.it.

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Joint Neuroscience/Computer Science Appointment: Open Rank, Tenured/Tenure Track Professor
by Weatherly, Christopher J Oct. 7, 2025

Oct. 7, 2025

The Departments of Neuroscience and Computer Science at The University of Texas at Austin invite applications for a tenure-track or tenured faculty position in the interface between neuroscience, artificial intelligence (AI), machine learning (ML) and computer science. Please apply at link below: Https://apply.interfolio.com/175061<https://apply.interfolio.com/175061>

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TR: M2 internship: Modeling State Transition in Sleep and Attention
by DEPANNEMAECKER Damien Oct. 6, 2025

Oct. 6, 2025

Dear All, Please forward this announcement to your best and motivated master students: We are offering a Master’s internship co-supervised by Delphine Oudiette (DreamTeam, Paris Brain Institute) and Damien Depannemaecker (Institute of Systems Neuroscience, Aix-Marseille University) on the modeling of state transitions, in sleep and attention, using tools from dynamical systems theory. The project aims to develop and characterize a dynamical model of these transitions, fit it to empirical data (EEG, behavioral, and subjective measures), and perform model inversion to estimate individual parameters. The candidate should have a strong quantitative background (applied mathematics, physics, computer science, or computational neuroscience), solid programming skills (Python, Matlab, or equivalent), and an interest in modeling and data analysis. The internship, typically lasting six months, will take place in Paris and/or Marseille, depending on the candidate's choice, with opportunities for scientific dissemination of the results. Applications (CV and motivation letter) should be sent to both Delphine Oudiette (delphine.oudiette(a)icm-institute.org) and Damien Depannemaecker (damien.depannemaecker(a)univ-amu.fr) Thanks Damien Depannemaecker

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Bonsai Programming workshop, Heidelberg, Oct 17th
by Mateusz Kostecki Oct. 6, 2025

Oct. 6, 2025

Hello! We are happy to announce our first workshop of the new academic year! This time we will teach you how to use the *Bonsai* reactive programming language. Many experiments require us to synchronize multiple data streams— from cameras, sensors, microscopes—precisely deliver stimuli, and, quite often, do everything in a *closed-loop* setting. The fact that different devices use different software doesn’t make this task easier. One of the best—and open—solutions to these challenges is *Bonsai*, a reactive programming language that allows you to collect data from multiple systems, from calcium imaging through sound recordings to sensors, and to control output devices—such as feeders, motors, or stimulus delivery systems—to build *closed-loop* paradigms. It is easy to learn, implement, and is robust. During our workshop, we will introduce the basic logic of Bonsai; cover loading and saving data; working with a camera to track animals; and the basics of closed-loop experiments. We will also cover using Arduino alongside Bonsai to control experimental equipment and to save data from your sensors. *Requirements:* A Windows computer and a webcam. The workshop will take place on *Oct 17, 9:45 AM–5:00 PM* at *COS, Heidelberg Institute*. Please find more info and the registration form here: https://openlabhd.org/2025/09/30/bonsai-programming-workshop-oct-17th/ 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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PhD position in Neuroscience: Advanced optical and electrophysiological approaches to study Purkinje cell intrinsic plasticity in larval zebrafish
by tingfenglin.ac＠gmail.com Oct. 6, 2025

Oct. 6, 2025

Position title: PhD position in Neuroscience Hours per week: 36 to 40 Department: Department of Biology, research group of Dr. Ting-Feng Lin↗ To submit your application, visit: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… 2. Highlight Dissecting neuronal mechanisms underlying learning and memory through cutting-edge microscopy. 3. Introduction It is widely accepted that synaptic plasticity constitutes the cellular correlate of learning. Yet, synaptic plasticity alone is insufficient to fully account for learning. Other mechanisms, such as intrinsic plasticity of membrane excitability, have been shown to be necessary for memory formation. Still, it remains unclear how intrinsic plasticity contributes to memory encoding and alters cognitive processes. In this project, we will leverage the advanced voltage imaging in larval zebrafish to investigate how intrinsic plasticity reshapes neuronal behavior. 4. Your Job In this project, you will contribute to both engineering and neurobiology. First, you will help build a light-sheet microscope optimized for voltage imaging at the single-cell and subcellular level in live larval zebrafish (1). The development of this system will be supported by Dr. Emmanuel Marquez Legorreta↗, Dr. Ernest van der Wee↗, and the Biology Image Center↗ team. Once the microscope is established, you will use it to investigate the electrophysiological properties of cerebellar Purkinje cells with advanced voltage indicators such as Voltron2. The ultimate goal is to uncover how Purkinje cells alter their dendritic signaling and spiking characteristics under different sensory or chemogenetic conditioning paradigms, and to determine how these changes may be mediated through intrinsic plasticity or brain state. (1) Böhm UL, Kimura Y, Kawashima T, Ahrens MB, Higashijima SI, Engert F, Cohen AE. Voltage imaging identifies spinal circuits that modulate locomotor adaptation in zebrafish. Neuron. 2022 Apr 6;110(7):1211-1222.e4. doi: 10.1016/j.neuron.2022.01.001. Epub 2022 Jan 31. PMID: 35104451; PMCID: PMC8989672. 5. Your qualities We are looking for a collaborative and responsible new colleague who meets several or all of the following criteria: • You hold, or are about to complete, a Master’s degree in Biology or Engineering. In a program that requires two internships, students who have completed their first internship are also encouraged to apply! • Has an interdisciplinary background. Previous microscopy training is a strong asset. • Demonstrates a strong interest in, or prior experience with, neuroscience. • You bring enthusiasm for live imaging at single-cell and subcellular level in larval zebrafish. • Have programming skills or a strong willingness to learn them. • Speak and write proficient academic English. 6. Our Offer • a position for 18 months, with an extension to a total of four years upon successful assessment in the first 18 months; • a gross monthly salary between € 3.059 and €3.881 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU); • 8% holiday bonus and 8.3% end-of-year bonus; • A pension scheme, partially paid parental leave, and flexible terms of employment based on the Collective Labour Agreement Dutch Universities. In addition to the terms of employment↗ laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own for employees. This includes schemes facilitating professional development↗, leave and sports and cultural activities↗. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University↗. 7. About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University↗, the various disciplines collaborate intensively towards major strategic themes↗. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow↗. Working at the Faculty of Science↗ means bringing together inspiring people across disciplines and with a variety of perspectives and backgrounds. The Faculty↗ has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we↗ work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure. Visit us on LinkedIn↗ and discover how you can become part of our community. You will join the group of Dr. Ting-Feng Lin↗ at the Division of Cell Biology, Neurobiology and Biophysics↗ within the Department of Biology. Our division hosts the state-of-the-art Biology Imaging Center↗, which offers technical supports and training in advanced light and fluorescent microscopy. The Lin group works closely and shares lab space with the group of Dr. Emmanuel Marquez Legorreta↗. In addition, several labs in the department pursue diverse scientific questions using as a zebrafish model system, supported by a dedicated core facility maintained by professional veterinarians and technicians. Being part of this enriching community, our group not only shares the common scientific ambitions but also fosters an environment built on care, respect and collaboration. 8. More information For more information, please contact Dr. T.F. (Ting-Feng) Lin at t.f.lin(a)uu.nl. Do you have a question about the application procedure? Please send an email to science.recruitment(a)uu.nl. 9. Apply now As Utrecht University, we want to be a home↗ for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute. If you are enthusiastic about this position, just apply via the "Apply now" button! Please enclose: • your letter of motivation; • your Curriculum vitae; • the names, telephone numbers, and email addresses of at least two references; If this specific opportunity isn’t for you, but you know someone else who may be interested, please forward this vacancy to them. Some connections are fundamental – Be one of them↗ #FundamentalConnection

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Call for abstracts, EMBO Workshop on DENDRITES, 19-22 May 2026, Heraklion, Crete, Greece
by Spyridon Chavlis Oct. 2, 2025

Oct. 2, 2025

Dear colleagues and friends, We are excited to announce the call for abstracts for short oral and poster presentations at the *EMBO Workshop on Dendrites 2026*, taking place from *May 19-22, 2026*, in *Heraklion, Crete, Greece*. This workshop marks the 6th installment in a successful series dedicated to dendritic research. We aim to bring together leading scientists from around the world to share their theoretical and experimental findings. The program is designed to foster dynamic discussions and collaborations in a relaxed atmosphere, emphasizing interaction and the exchange of innovative ideas. *Important Dates:* - *Abstract Submission Deadline:* February 1, 2026 - *Notification of Acceptance:* February 28, 2026 - *Registration Payment Deadline:* March 15, 2026 *There is no fee for abstract submission, and we encourage all potential attendees to submit an abstract, as presenters will receive registration priority.* Please register and submit your abstract online at: https://meetings.embo.org/event/26-dendrites For more information about the workshop, please visit our website or contact us at embo2026(a)artion.com.gr. We look forward to welcoming you to Dendrites 2026! Warm regards, *Spiros Chavlis* On behalf of the Organizing Committee: *Panayiota Poirazi, Lucy Palmer, Mark Harnett* -- Spyridon Chavlis, PhD Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Vassilika Vouton, Heraklion, Crete, Greece Email: schavlis(a)imbb.forth.gr | chavlis.spiros(a)gmail.com Webpage: dendrites.gr <https://www.dendrites.gr/>

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LASCON 2026 - X Latin American School on Computational Neuroscience - Extended Application Deadline
by Antonio Roque Oct. 2, 2025

Oct. 2, 2025

Following multiple requests, the application deadline has been extended to October 11, 2025 (no additional extension will be granted). *LASCON 2026 – X Latin American School on Computational Neuroscience* *January 5–30, 2026 | University of São Paulo, Brazil* https://sisne.org/en/lascon-x/ *APPLICATION DEADLINE: October 11, 2025 (*until midnight, US Pacific Time*)* **** Apologies for cross-posting **** Dear Colleagues, It is my pleasure to announce the *10th edition of the Latin American School on Computational Neuroscience (LASCON 2026)*, which will be held at the University of São Paulo, Brazil, from *January 5 to 30, 2026*. LASCON 2026 offers an intensive four-week training program designed for graduate students, advanced undergraduates, and early-career researchers interested in applying computational and mathematical methods to the study of neurons and neural networks. The curriculum spans multiple scales of brain modeling—from biophysically detailed neurons to large-scale networks and theoretical frameworks of brain function and dysfunction—and covers topics such as extracellular field modeling, synaptic and structural plasticity, brain disease and brain state modeling, artificial intelligence, criticality in brain dynamics, consciousness, and brain–machine interfaces. The program combines *morning lectures* on theory, *afternoon tutorials* using leading simulation tools (NEURON, NEST, NetPyNE), and *evening group project work*, culminating in student project presentations. This 10th edition marks a special milestone: *20 years of LASCON*. Since its first edition in 2006, the school has become a recognized international initiative in computational neuroscience training, attracting students from Latin America and beyond. Over the years, LASCON has welcomed participants from all continents, and its alumni (278 to date) have gone on to successful careers in academia and industry worldwide. To celebrate this anniversary, LASCON 2026 will feature the largest faculty in the school’s history, with lectures and tutorials covering a wide spectrum of subfields in computational neuroscience. Confirmed faculty include: Alain Destexhe (Paris-Saclay Inst. of Neuroscience, France) · Alessandro Treves (SISSA, Italy) · Aline Duarte (USP, Brazil) · Arnd Roth (UCL, UK) · Cláudia Vargas (UFRJ, Brazil) · Daniel Takahashi (UFRN, Brazil) · Demian Battaglia (Univ. of Strasbourg, France) · Enzo Tagliazucchi (Univ. of Buenos Aires, Argentina) · Fernanda Matias (UFAL, Brazil) · Florencia Iacaruso (The Francis Crick Institute, UK) · Gaute Einevoll (NMBU, Norway) · Gustavo Rohenkohl (USP, Brazil) · Hans Ekkehard Plesser (NMBU, Norway) · Harel Shouval (Univ. of Texas Medical School at Houston, USA) · Horacio Rotstein (NJIT & Rutgers, USA) · Junji Ito (Jülich, Germany) · Leonardo Elias (Unicamp, Brazil) · Lyle Muller (Western Univ., Canada) · Marja-Leena Linne (Tampere Univ., Finland) · Markus Diesmann (Jülich, Germany) · Maurício Girardi-Schappo (UFSC, Brazil) · Mauro Copelli (UFPE, Brazil) · Netta Cohen (Univ. of Leeds, UK) · Oswaldo Baffa (USP, Brazil) · Patricia Reynaud-Bouret (Côte d’Azur Univ., France) · Rodrigo Pavão (UFABC, Brazil) · Rodrigo Pena (Florida Atlantic Univ., USA) · Sonja Grün (Jülich, Germany) · Sophia Sanborn (Stanford Univ., USA) · Viktor Jirsa (Aix-Marseille Univ., France) · Valeriy Bragin (SUNY, USA) · William Bialek (Princeton University., USA) · William Lytton (SUNY, USA). *Applications*: The number of students is limited to 40. Applications must be submitted via the school’s website (link <https://sisne.org/en/lascon-x/>) and include a CV (in English) and two recommendation letters. The application deadline is *October 11, 2025 (midnight, US Pacific time)*. *Costs and support*: There is *no registration fee*. Subject to available funding, accommodation may be provided for participants coming from outside Greater São Paulo. Travel costs must be covered by participants. *Selection*: Priority will be given to Latin American students, but applications from all regions are warmly encouraged. LASCON 2026 is organized as an activity of the *FAPESP Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat)*. We look forward to welcoming you in São Paulo. Best regards, *Antonio C. Roque* Director, LASCON -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 <https://orcid.org/0000-0003-1260-4840> ResearcherID: C-2316-2011 <http://www.webofscience.com/wos/author/record/C-2316-2011> Google Scholar: GqHWF74AAAAJ <http://scholar.google.com.br/citations?user=GqHWF74AAAAJ> CV Lattes: 4609096963207702 <http://lattes.cnpq.br/4609096963207702>

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Postdoctoral Position in Computational Neuroscience at NYU Shanghai
by Sukbin Lim Oct. 1, 2025

Oct. 1, 2025

The research group of Prof. Sukbin Lim at NYU Shanghai is seeking a highly motivated Postdoctoral Fellow to join the lab. The position focuses on developing theoretical and computational models to study the dynamics of local neural circuits and their interactions—for example, between sensory and memory systems or between memory and decision-making pathways. A central goal is to advance computational approaches for reverse-engineering these mechanisms. The lab collaborates closely with experimental groups, providing rich opportunities for integrative and interdisciplinary research. For more details, please visit the full* Position Ad <https://drive.google.com/file/d/1oTFLYkN6TtuFPnNlfFr77zDpcFKiX9RF/view?usp=…>*: https://drive.google.com/file/d/1oTFLYkN6TtuFPnNlfFr77zDpcFKiX9RF/view*.*

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Half-priced tickets for researchers - AE Global Summit on Open Problems for AI (28–30th Oct, London, Kings X / Euston)
by Battleday, Ruairidh Sept. 30, 2025

Sept. 30, 2025

Dear Colleagues, We've just announced a 2-for-1 on researcher tickets to our upcoming AI Research Summit <https://that.build> in London thanks to generous funding. If you could forward the below to your internal groups, lists, and networks to spread the word, that would be much appreciated. Many thanks, Ruairidh --------- *AE Global Summit on Open Problems for AI (28–30th Oct, London, Kings X / Euston) - Half-priced researcher tickets thanks to generous funding* Over three days, we will bring together hundreds of scientists, researchers, policymakers, engineers, entrepreneurs, and artists to discuss the most important open problems in AI, and how we might solve them. Programme highlights Day 1: AI Research Breakthroughs & Infrastructure Featuring Prof. David Silver (DeepMind) <https://davidstarsilver.wordpress.com/>, Dr Raia Hadsell (DeepMind), <https://raiahadsell.com/index.html> Prof. Jakob Foerster (Meta & Oxford), <https://www.jakobfoerster.com/> Dr Laura Gilbert (Tony Blair Institute) <https://www.linkedin.com/in/dr-laura-gilbert/>, Prof. Emine Yilmaz (UCL) <https://www.linkedin.com/in/emine-yilmaz-978b937/>, Prof. Oana-Maria Camburu (Imperial) <https://sites.google.com/view/oana-maria-camburu/>, Dr Minqi Jiang (Meta) <https://minch.co/>, Dr Sarah Parisot (Microsoft) <https://www.linkedin.com/in/parisotsarah/?locale=en_US>, and senior research leaders from NVIDIA <https://www.nvidia.com/en-gb/>, NSCALE <https://www.nscale.com/>, Thomson Reuters <https://www.thomsonreuters.com/en>, Bertelsmann <https://www.bertelsmann.com/#st-1>, Wayve <https://wayve.ai/>, Innovate UK <https://www.linkedin.com/company/innovateuk/>, UKRI Future Leaders Fellowship <https://www.ukri.org/what-we-do/developing-people-and-skills/future-leaders…> , Hassana Labs <https://www.linkedin.com/company/hassana-labs/>, and many more. Day 2: AI Safety, Enterprise, & Society Speakers include Prof. Chris Summerfield (AISI & Oxford) <https://www.psy.ox.ac.uk/people/christopher-summerfield>, Prof. Richard Susskind (Oxford) <https://www.susskind.com/>, Dr Artemis Seaford (ElevenLabs <https://www.linkedin.com/in/artemisseaford/>), Dr Marius Hobbhahn (Apollo Research) <https://www.linkedin.com/in/marius-hobbhahn-128927175/?originalSubdomain=uk> , Dr Abhishek Mishra (Faculty) <https://www.linkedin.com/in/abhishekvsm/>, Kriti Sharma (IFS Global) <https://www.linkedin.com/in/kritisharma3?originalSubdomain=uk>, Dr Dara L. Sosulski (HSBC) <https://www.linkedin.com/in/dara-l-sosulski-phd/>, Dr James Kuht (Pair) <https://www.linkedin.com/in/jameskuht/>, and safety and society leaders from ADVAI <https://www.advai.co.uk/>, Academy <https://www.linkedin.com/company/we-are-academy/posts/?feedView=all>, Blue Dot Impact <https://www.linkedin.com/company/bluedotimpact/>, Multiverse <https://www.multiverse.io/en-GB>, Tony Blair Institute <https://institute.global/>, Bernstein Insights <https://www.bernstein.com/our-insights/insights.html>, PolyAI <https://poly.ai/>, HSBC <https://www.hsbc.co.uk/>, the Financial Times <https://www.ft.com/>, and many more. Day 3: AI Entrepreneurship & Applications (Education and Medicine) With Minister Narayan (DSIT) <https://www.gov.uk/government/people/kanishka-narayan>, Alexander Straub (Straub Ventures) <https://www.linkedin.com/in/alexanderstraub/?originalSubdomain=uk>, Dr Trias Gkikopoulos (Innovate UK) <https://www.linkedin.com/in/triantafyllosgkikopoulos/?original_referer=http…> , Erwann Le Lannou (XTX Markets) <https://www.linkedin.com/in/erwann-le-lannou/?originalSubdomain=uk>, Prof Rose Luckin (UCL & Educate Ventures) <https://www.linkedin.com/in/rose-luckin-5245003/?authType=&authToken=&trk=m…> , Dr Irina Jurenka (DeepMind) <https://www.linkedin.com/in/irina-jurenka-74455235/?originalSubdomain=uk>, Prof Thore Graepel (UCL) <https://thoregraepel.github.io/>, an expo session featuring investors and startups from London AI Hub <https://www.linkedin.com/company/london-ai-hub/>, Venture Cafe London <https://www.linkedin.com/company/venturecafelondon/>, Harvard and MIT Tech Alumni, Founders Forum <https://www.linkedin.com/company/foundersforumgroup/>, Entrepreneur First <https://www.linkedin.com/company/entrepreneurs-first/>, Cooley LLP <https://www.linkedin.com/company/cooleyllp/>, NVIDIA <https://www.nvidia.com/en-gb/>, XTX Markets <https://www.xtxmarkets.com/>, and contributors from Google Health <https://health.google/>, Raspberry Pi Foundation <https://www.raspberrypi.org/>, Newton’s Tree, <https://www.newtonstree.ai/> the NHS senior AI team, and many more. The conference will feature keynote talks, panels, spotlight talks, breakout rooms, and an expo hall, alongside opportunities for informal discussion with colleagues from institutions including Oxford <https://www.ox.ac.uk/>, UCL <https://www.ucl.ac.uk/>, KCL <https://www.kcl.ac.uk/>, Imperial <https://www.imperial.ac.uk/>, Stanford <https://www.stanford.edu/>, Harvard <https://www.harvard.edu/>, MIT <https://www.mit.edu/>, DeepMind <https://deepmind.google/>, Meta <https://www.meta.com/en-gb/about/?srsltid=AfmBOooyD76gNdU_z8E_JulzOLafvKow3…> , Microsoft <https://www.microsoft.com/en-gb/>, NVIDIA <https://www.nvidia.com/en-gb/>, 11labs <https://elevenlabs.io/>, Wayve <https://wayve.ai/>, AISI <https://www.aisi.gov.uk/>, Alto Labs <https://www.altoslabs.com/>, PolyAI <https://poly.ai/>, Contextual AI <https://contextual.ai/>, UKRI <https://www.ukri.org/>, the Sovereign AI Team, DSIT <https://www.gov.uk/government/organisations/department-for-science-innovati…>, and many more. We’d love to see some of you there! Generous sponsorship has allowed us to open access to the Summit for researchers, so if you'd like to bring a friend or colleague that couldn't otherwise come for no extra charge (or, if you'd just like to split costs with them), please do use the discount code below. Register via the link below. If you'd like to bring a friend for free, add two Researcher tickets to checkout, then enter discount code *AE2025*: https://tickets.algopreneurship.org/ResearchersEmail If you've already bought a ticket and would like to bring a friend along, please do message webmaster(a)thinkingaboutthinking.org Many thanks, Ruairidh and the team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Assistant Professor in Computational Cogitive Neuroscience at SUNY Albany
by MALHOTRA, Gaurav Sept. 30, 2025

Sept. 30, 2025

Dear colleagues, The Department of Psychology at the University at Albany (State University of New York) invites applications for a full-time, tenure-track position at the rank of Assistant Professor in Computational Cognitive Neuroscience. We are seeking a scholar whose research addresses fundamental questions about human cognition and the brain by integrating cutting-edge neuroscience methods with innovative computational approaches such as artificial intelligence (AI), machine learning, or neuromorphic computing. Check out additional details and qualifications here: https://albany.interviewexchange.com/jobofferdetails.jsp?JOBID=193092 Best wishes, Gaurav. --- Gaurav Malhotra Assistant Professor Department of Psychology University at Albany, SUNY https://www.cclab.ac<https://www.cclab.ac/>

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Doctoral Position in Theoretical Biophysics at Center for Advanced Study of Collective Behavior
by Ahmed El Hady Sept. 30, 2025

Sept. 30, 2025

Doctoral position in Theoretical Biophysics (Deadline : 1st November 2025) We are seeking a doctoral student with a quantitative background. Ideally, the candidate should have a master degree in physics but other quantitative backgrounds will be considered. The researcher will be based in the Integrative Biophysics group at the University of Konstanz and Max Planck Institute of Animal Behaviour, located in Konstanz, Germany. The Integrative Biophysics group <https://www.exc.uni-konstanz.de/collective-behaviour/about-us/people/integr…> is led by Dr. Ahmed El Hady. The group focuses on a diverse set of theoretical biophysics problems. The doctoral project is a collaboration between the integrative biophysics research group and the research group of Prof. Ilya Nemenman at Emory University, Altanta, US. The doctoral student will have the opportunity to have research stays at Emory University. The project summary is as follows: *Project Title*: /Inferring dynamical interactions in social groups/ *Project Abstract*: Social interactions are one of the most foundational building blocks of group behaviors, shaping decision making strategies across ecologies. Social groups consist of small number of individuals in contrast with collectives that consist of large number of agents. Despite the importance of social groups as a building block of living systems, there is little understanding of mechanistic details of the nature of those social interactions and how they shape emergent social functional properties. This stands in contrast with physics of collectives, which usually focus on the dynamics of very large group of individuals and have been thoroughly studied. In an experimental sys-tem or in field observations tackling social behaviors, we do not know a priori the social forces, nature of those interactions and their dynamics. Recent advances in software and hardware allow us to track the behavior of multiple individuals over extended spatio-temporal scales. Thus it is crucial to develop methodologies to infer dynamical social interactions and social forces from experimental observations. This relates closely to work done inferring "social forces" from dusty plasmas. Recent theoretical work has developed an information theoretic approach to estimate intrinsic motivation, based on maximizing an agent's empowerment (defined as the mutual information between its past actions and future states). This approach can be used to study social behaviours, where individuals choose actions without an explicit reward signal. In this project, we are planning to apply this framework to infer and understand social behaviour of small animal groups specifically locusts, mice and marmosets monkeys offering not only a mechanistic insights into mechanisms of social organization but also make quantitative evolutionary comparison of social behaviours. *Relevant publications:* 1. Yu, Wentao, Eslam Abdelaleem, Ilya Nemenman, and Justin C. Burton. "Physics-tailored machine learning reveals unexpected physics in dusty plasmas.Proceedings of the National Academy of Sciences 122, no. 31 (2025): e2505725122. 2. Tiomkin, Stas, Ilya Nemenman, Daniel Polani, and Naftali Tishby. "Intrinsic motivation in dynamical control systems.” PRX Life 2, no. 3 (2024): 033009. The doctoral position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2025 and deadline for application is 01/11/2025. For more information and application , please visit the website: https://stellen.uni-konstanz.de/jobposting/09992aa34cc8da9cb6416ec16df7ece3… and the application portal is here: https://stellen.uni-konstanz.de/en/jobposting/09992aa34cc8da9cb6416ec16df7e… If you have any questions or need more information concerning the position, please contact Ahmed El Hady on : ahmed.el-hady(a)uni-konstanz.de

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Postdoctoral Fellow – Computational Neuroscience of Working Memory in Aging and Alzheimer’s Disease
by Klaus Wimmer Sept. 30, 2025

Sept. 30, 2025

We are recruiting a Postdoctoral Researcher for an NIH-funded project investigating the neural circuit mechanisms of working memory decline in aging and Alzheimer’s disease. The postdoc will be based at Boston University in the laboratory of Dr. J. Luebke<https://www.bumc.bu.edu/anatneuro/luebke-lab-2/> in Boston, MA and work primarily on computational modeling of large-scale prefrontal cortex networks, under the remote supervision of Dr. Klaus Wimmer<https://www.crm.cat/_neuroscience/> (Centre de Recerca Matematica, Barcelona, Spain). The project combines computational and empirical approaches, and the postdoc will develop large-scale spiking network models that incorporate biologically realistic perturbations such as myelin changes, synapse loss, and neuronal hyperexcitability. The position offers close interaction with experimental collaborators, opportunities to generate testable predictions, and strong support for publishing and presenting work internationally. Qualifications * PhD in computational neuroscience, physics, computer science, applied mathematics, or a related field. * Strong programming skills (Python; experience with simulation environments like Brian2, NEST, or NEURON a plus). * Background in neural network modeling, systems neuroscience, or dynamical systems. Position Details * Initial appointment: 1 year, renewable based on performance and funding. * Start date: Flexible, ideally Fall/Winter 2025. * Salary and benefits follow NIH/BU guidelines. How to Apply Please send a CV, a short cover letter describing your research interests, and contact details for 2–3 referees to kwimmer(a)crm.cat<mailto:kwimmer@crm.cat>. Applications will be reviewed on a rolling basis until the position is filled. CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matemàtica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo(a)crm.cat.

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Full Professor Artificial Intelligence for Biology
by Jolivet, Renaud (MACSBIO) Sept. 29, 2025

Sept. 29, 2025

Our department has an opening for a Full Professor Artificial Intelligence for Biology affiliated with the Maastricht Centre for Systems Biology and Bioinformatics at Maastricht University in The Netherlands. Come be my colleague! All details available here https://vacancies.maastrichtuniversity.nl/job/Maastricht-Full-Professor-Art…. Cheers, Renaud — Prof. Dr. Renaud B. Jolivet, FISC André Mischke YAE Prize for Science and Policy 2023 and MCAA Career Award 2022 Chair of Neural Engineering and Computation, MaCSBio, Maastricht University User Team Leader, ISOLDE, CERN ERA Forum Stakeholder Representative, European Commission Chair of the Science and Technology Committee, EBRAINS Polymath Fellow, GCSP +41798302129 (mobile) ‭+31433881741 (office)‬ r.jolivet(a)maastrichtuniversity.nl <mailto:renaud.jolivet@unige.ch> twitter.com/RenaudJolivet <https://twitter.com/RenaudJolivet> linkedin.com/in/renaud-jolivet-63b5534 <http://linkedin.com/in/renaud-jolivet-63b5534> scholar.google.ch/citations?user=9Ozwv7EAAAAJ <http://scholar.google.ch/citations?user=9Ozwv7EAAAAJ>

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Postdoc opening: Smith Lab - University of Minnesota, Minneapolis MN
by Gordon Smith Sept. 26, 2025

Sept. 26, 2025

The Smith lab at the University of Minnesota is seeking a motivated and talented postdoctoral researcher to study the development of large-scale networks in the developing brain. Our lab employs optical approaches to study the mechanisms of cortical network formation in the developing brain. We have recently obtained funding to use wide-field and 2-photon optogenetics to investigate how perturbations of early network function impact development. Preferred candidates will have a Ph.D. or equivalent in neuroscience, biology, or related field, and experience in one or more of the following areas: multiphoton imaging, optogenetics, calcium imaging, *in vivo *electrophysiology, and / or analysis of large-scale datasets. Applicants without prior experience in these areas but with a strong interest in systems neuroscience and applying optical approaches to investigate circuit function are also encouraged to apply. Please apply by sending a cover letter stating your interest in the project, your CV, and a brief research statement (1-2 pages) as a *single pdf* to Gordon Smith (gbsmith(a)umn.edu) with the subject line “Smith Lab Postdoc 2025”. References will be requested after initial review. This is a fully funded multi-year position with excellent benefits. Salary will be commensurate with experience, and will meet or exceed NIH levels. Review of applications will begin immediately and continue until the position is filled. For additional information please see our website: https://www.smithneurolab.org/positions. -- Gordon Smith, Ph. D. Associate Professor Associate Director of Graduate Studies Graduate Program of Neuroscience Optical Imaging and Brain Science Medical Discovery Team Department of Neuroscience Center for Magnetic Resonance Research University of Minnesota smithneurolab.org CMRR 1-311C 2021 6th Street S.E. Minneapolis, MN 55455 612-625-8823

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GCNU-SWC Joint PhD Programme: Applications now open!
by Lin, I-Chun Sept. 25, 2025

Sept. 25, 2025

Gatsby Unit and Sainsbury Wellcome Centre Joint PhD Programme Deadline: 17:00 GMT, Monday 3 November 2025 The Gatsby Unit (GCNU) and Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) have launched a 4-year joint PhD programme that aims to bridge the gap between theory and experiments. This PhD programme is designed to immerse students in both experimental and theoretical thinking, providing a rigorous preparation for an interdisciplinary research career. Courses in the first year provide a comprehensive introduction to systems neuroscience, theoretical/computational neuroscience, and machine learning. Students will be part of the broader trainee cohort across both centres, interacting and engaging in scientific discussion with both SWC and GCNU researchers with equal emphasis. GCNU and SWC provide a unique opportunity for a critical mass of theoreticians and experimentalists to interact closely with one another and with researchers at the ELLIS Unit at UCL and related UCL departments/domains such as UCL Neuroscience Domain; Artificial Intelligence; Computer Science; Statistical Science; and the nearby Francis Crick and Alan Turing Institutes. Applicants should have a strong analytical and mathematical background, a keen interest in neuroscience, and a relevant first degree (e.g., in Computer Science, Cognitive Psychology, Engineering, Mathematics, Neuroscience, Physics, Statistics). Full funding is available regardless of nationality. We also welcome applicants who have secured or are seeking funding from other sources. For programme details (including the key differences between the Gatsby Unit PhD programme, the SWC PhD programme, and the joint programme) and how to apply, see https://www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gcnu-swc-joint-ph…. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Open Postdoc Positions: Center for Computational Neuroscience at Flatiron Institute
by Allison Ong Sept. 23, 2025

Sept. 23, 2025

Applications are invited for postdoctoral Flatiron Research Fellowships (FRFs) at the Center for Computational Neuroscience (CCN) <www.simonsfoundation.org/flatiron/center-for-computational-neuroscience/> within the Flatiron Institute at the Simons Foundation. The mission of CCN is to develop theories, models, and computational methods that deepen our knowledge of brain function. CCN takes a vertically-integrated “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. In addition to carrying out an independent research program, FRFs are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. FRFs also have the opportunity to organize workshops and to mentor graduate and undergraduate students. FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRFs receive a research budget and have access to the Flatiron Institute’s world-class scientific computing resources. FRFs may be eligible for subsidized housing within walking distance of the CCN. This is a full-time in-person position located at the Simons Foundation office in New York City. Applications will be evaluated based on the following selection criteria: Past research accomplishments Proposed research plans Synergy of applicant’s expertise and research proposal topic with existing CCN research groups and projects *Additional details and the application submission link can be found here: https://apply.interfolio.com/173400 <https://apply.interfolio.com/173400>*

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Call for applications: Gatsby Unit PhD Programme 2026 entry
by Lin, I-Chun Sept. 23, 2025

Sept. 23, 2025

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 17:00 GMT, Monday 3 November 2025 We welcome applications for 2026 entry to the Gatsby Unit PhD programme at University College London (UCL). Our research focuses on the mathematical principles of learning, perception and action in brains and machines. Ours is one of the original programmes to bring together neuroscience and machine learning, creating a critical mass for interaction amongst theoreticians in related fields. First-year courses provide training in machine learning as well as theoretical and systems neuroscience, after which PhD project may specialise in machine learning, theoretical neuroscience or encompass both. Students are encouraged to work closely with colleagues in the Sainsbury Wellcome Centre for Neural Circuits and Behaviour and/or the ELLIS Unit at UCL; and we have strong links to many world-class research groups at UCL and beyond. Applicants should have a very strong analytical and mathematical background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the Gatsby Recruitment Portal. See http://www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-unit-phd-pr… for details. Further information The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. We are a community of around 50 academic and research staff, students and support staff. We function as far as possible as a single large research group, interacting closely through regular unit-wide research activities. Many leading researchers in both machine learning and neuroscience have studied or worked in the Unit. Over 40% of our PhD and postdoctoral alumni hold a faculty position and about 30% work in research development in companies such as Google DeepMind (itself founded by two of our alumni), Meta and Anthropic. * Information on our research: https://www.ucl.ac.uk/life-sciences/gatsby/research * Read more about our faculty members: https://www.ucl.ac.uk/life-sciences/gatsby/people

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Doctoral Position in Developmental Artificial Intelligence at the Frankfurt Institute for Advanced Studies
by Jochen Triesch Sept. 22, 2025

Sept. 22, 2025

We are looking for a highly motivated Doctoral Researcher (f/m/d) to join the group of Jochen Triesch at the Frankfurt Institute for Advanced Studies (FIAS). The position is part of a new initiative within the German Excellence Cluster The Adaptive Mind (TAM) and is expected to start in early 2026. The application deadline is October 15, 2026. To submit your application, visit: https://jobapplication.hrworks.de/en?companyId=amb4af72&id=f39623 About the position The vacant position will be funded by the new German Excellence Cluster „The Adaptive Mind". Our goal is to reveal the computational and learning principles underlying the fascinating development of cognitive abilities in infants and toddlers through embodied computational modeling. To accomplish this goal, we will closely collaborate with Developmental Psychologists to develop embodied computational models of how infants and toddlers learn to perceive and understand the world, control their bodies and plan their behavior. These models will make use of our MIMo (Multimodal Infant Model) platform (see: https://ieeexplore.ieee.org/abstract/document/10382408) Topics of interest include, but are not limited to, the development of abstract multimodal sensory representations, body know-how, and models of the self. About FIAS The Frankfurt Institute for Advanced Studies (FIAS) is a hub for theoretical and computational research located on the science campus of Goethe University Frankfurt (Campus Riedberg). Our fellows pursue interdisciplinary approaches to address fundamental questions in the natural sciences. The group of Jochen Triesch at FIAS is seeking a doctoral student in the area of Developmental AI and computational modeling of cognitive development. About TAM The Adaptive Mind (TAM) is an excellence cluster funded within Germany’s excellence strategy, which aims to strengthen Germany’s position as an outstanding research hub in the long term and further improve its international competitiveness. The Adaptive Mind is a research cluster that brings together scientists from Experimental Psychology, Clinical Psychology and Artificial Intelligence in order to understand how the human mind successfully adapts to changing conditions, and what happens when these adaptive processes fail. For more information please visit: https://www.theadaptivemind.de/ We are looking for a candidate with: • An excellent master’s degree in machine learning, cognitive science, robotics, physics, engineering or related field • A strong quantitative background • Prior knowledge in Cognitive Development is advantageous, but not required. We offer: • an inspiring work atmosphere • excellent research infrastructure and dedicated mentoring • outstanding opportunities for training and career development. You will be affiliated with the Excellence Cluster „The Adaptive Mind“, Goethe-University and a fellow of FIGSS, the graduate school of FIAS • rich possibilities to collaborate with experimental groups • the opportunity to live in Frankfurt am Main, a vibrant and exciting cosmopolitan city in the heart of Europe, which consistently earns high rankings in worldwide surveys of quality of life • a funded PhD position with a competitive salary (65%, based on the TV-H E13 pay scale). Required documents: • a motivation letter, highlighting why you want to do a PhD in the field and in our lab • a detailed curriculum vitae containing academic qualifications, research experiences, skills, possibly a publication list where you highlight your specific contributions • names and contact information of at least two scientists who can give references • detailed transcripts of records of your Master’s and Bachelor’s programs. The Frankfurt Institute for Advanced Studies is committed to fostering a workplace culture that promotes equality, diversity, and inclusion. We strongly encourage applications from qualified individuals regardless of gender, nationality, ethnic or social origin, religion, disability, age, or sexual orientation. In accordance with the German General Equal Treatment Act (AGG), all qualified applicants will be given equal consideration. Where qualifications are equal, preference will be given to applicants with a disability. Please note that any costs incurred in connection with a personal interview will not be reimbursed. For questions, please contact: Frankfurt Institute for Advanced Studies (FIAS) Ruth-Moufang-Str. 1, 60438 Frankfurt am Main triesch(a)fias.uni-frankfurt.de https://fias.uni-frankfurt.de 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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Shanahan Foundation Fellowship at the Interface of Data and Neuroscience
by Anton Arkhipov Sept. 18, 2025

Sept. 18, 2025

Dear Colleagues, We are pleased to announce this year’s application cycle for The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience, a three-year fellowship program aiming to bring fresh perspectives from diverse technical backgrounds to the field of neuroscience. The program is co-hosted by the Allen Institute and the University of Washington, through the Computational Neuroscience Center. It is directed by Dr. Christof Koch at the Allen Institute and Dr. Adrienne Fairhall at UW. Fellows choose a co-mentor from each of the two institutions and will be employed by the Allen Institute as a Scientist (salary starting at $106,780 annually), with an affiliate postdoctoral appointment at UW. Accepted fellows propose their own research project(s), with access to the Allen Institute's wealth of structural, genomic, and functional data collected over the past 15 years (brain-map.org<https://brain-map.org>). This unique opportunity allows fellows to ground their theories in rich empirical resources, potentially inspiring novel analyses, visualizations, and predictions that could subsequently be empirically tested. Each fellow will have the opportunity to mentor a fully funded UW undergraduate or postbaccalaureate research assistant who helps with their research for 3-12 months. Fellows also have access to career development activities through the University of Washington’s Computational Neuroscience Center. Fellows will receive an intensive orientation through the two-week long Summer Workshop on the Dynamic Brain<https://alleninstitute.org/events/summer-workshop-on-the-dynamic-brain-2025/> at UW’s Friday Harbor Laboratory on San Juan Island. We are seeking candidates for this three-year program. Up to three fellows will be selected to begin in Fall 2026. Applicants must be Ph.D.s (or equivalent) in a quantitative field such as computer science, electrical engineering, physics, or mathematics with a background in statistical, computational and machine learning methods. Ph.D. should have been awarded in the last 3 years. No previous experience in neuroscience is required. Applications are due by December 1st, 2025. More information can be found at the Shanahan Foundation website.<https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…> If you have questions, please contact us at shanahan.fellow(a)alleninstitute.org<mailto:shanahan.fellow@alleninstitute.org> Best regards, Anton. 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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SNUFA 2025 - Abstract submission closing soon
by Friedemann Zenke Sept. 17, 2025

Sept. 17, 2025

This is a friendly reminder that the SNUFA 2025 abstract submission closes soon (deadline Sept 26, 2025). SNUFA 2025 will take place on November 5-6, 2025 (online). See https://snufa.net/2025 for details. This year's invited speakers are Elisabetta Chicca (University of Groningen), Jason Eshraghian (UC Santa Cruz), Tomoki Fukai (OIST), and Chengcheng Huang (University of Pittsburgh). Like every year, the workshop brings together researchers in computational neuroscience, machine learning, and neuromorphic engineering to present their work and discuss how to translate these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We aim to have a manageable number of talks with ample discussion time. Attendance is free, but registration is required. Abstract submission deadline: September 26, 2025 (anywhere on earth) SNUFA 2025 is brought to you by David Kappel, Julijana Gjorgjieva, Dan Goodman, and Friedemann Zenke --- https://snufa.net/2025 Powered by www.world-wide.org/Neuro/

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Postdoctoral Position in Applied Mathematics & Computational Neuroscience at Oxford
by Lida Kanari Sept. 17, 2025

Sept. 17, 2025

Dear all, I am pleased to share that I am recruiting a *Postdoctoral Research Associate* to join my group at the *Mathematical Institute, University of Oxford*. This is a 1-year, fixed-term position (UKRI MRC funded <https://gtr.ukri.org/projects?ref=MR%2FZ504804%2F1>) with the possibility of renewal, as part of the project “Algebraic topology bridging the gap between single neurons and networks”. The start date is flexible between *January and June 2026* and the deadline for applying is *October 13th*. My group <https://www.maths.ox.ac.uk/people/lida.kanari> works at the intersection of topological data analysis, applied mathematics, and computational neuroscience, with a focus on bridging scales from single neurons to networks. The successful candidate will have the opportunity to conduct independent and collaborative research within Oxford and with international partners, and to contribute to the vibrant OCIAM community. Full details and the application portal can be found here <https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=…> . Please circulate this to anyone who may be interested! Best wishes, Lida Kanari

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(16th Sept 2pm CET) 4th SMILES Workshop on Sensorimotor Interaction, Language, and Embodiment of Symbols
by Xavier Hinaut Sept. 15, 2025

Sept. 15, 2025

🚀 Join us onsite or online for the 4th SMILES Workshop! Join us for the 4th SMILES Workshop on Sensorimotor Interaction, Language, and Embodiment of Symbols — an interdisciplinary event exploring how low-level sensorimotor interactions give rise to high-level symbolic communication. 🔗 Workshop website: https://sites.google.com/view/smiles-workshop/home Register here for online accesss: https://forms.gle/VbncefzfvBCYHtvZ9 📅 Date: September 16, 2025 🕑 Time: 2:00 – 6:00 PM (CET) 🌐 Part of: ICDL 2025 – International Conference on Developmental Learning 🧠 Topics include: • Sensorimotor learning • Emergent communication • Gesture chunking • Symbol grounding • Compositional & hierarchical representations • Language in brains & machines Linked-in post: https://www.linkedin.com/posts/xavierhinaut_smiles2025-icdl2025-cognitivesc… Best, Xavier Hinaut, Laura Cohen and Alex Pitti Xavier Hinaut Inria Research Scientist — News! —> Next Hackathon on AI, Robots and CogSci: « Hack1robo », October 2025, Bordeaux, France Register on mailing-list, linked-in or instagram to stay tuned! https://sites.google.com/view/hack1robo/accueil https://www.instagram.com/hack1robo/ — www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- — Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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Postdoc position computational tractography, neuroinformatics and disease
by Franco Pestilli Sept. 15, 2025

Sept. 15, 2025

*Postdoctoral Training Opportunities in Clinical Neuroscience and Neuroinformatics**The University of Texas at Austin | Dell Medical School | Departments of Psychiatry, Psychology, and Neuroscience* We invite applications for two T32-funded postdoctoral fellowship positions at The University of Texas at Austin, supported by the National Institute on Alcohol Abuse and Alcoholism (NIAAA). These positions offer an exceptional opportunity to build a career at the interface of clinical neuroscience, neuroinformatics, and open science. Fellows will join a collaborative project investigating white matter development and trajectories in bipolar disorder and their relationship to clinical outcomes and risk for alcohol use problems. Research will involve diffusion-weighted MRI, tractography, functional MRI, machine learning, and longitudinal modeling, alongside opportunities for clinical and behavioral data collection, including placebo-controlled alcohol administration paradigms. This T32 program provides outstanding career development and mentoring. Postdoctoral fellows will train with Dr. Elizabeth Lippard (Dell Medical School, Department of Psychiatry, whose work integrates clinical neuroscience and psychiatric outcomes) and Dr. Franco Pestilli (Departments of Psychology and Neuroscience, a leader in neuroinformatics, diffusion MRI, and open-science infrastructure, see brainlife.io). Both investigators have a strong record of training fellows who have gone on to independent faculty careers at leading universities and to senior scientific and technical roles in top industry settings. This environment is designed to provide not only technical expertise but also the mentorship, visibility, and collaborative network necessary to launch a successful independent career. Applicants should send a cover letter describing their motivation for applying and a curriculum vitae to: Dr. Elizabeth Lippard (Elizabeth.Lippard(a)austin.utexas.edu) Dr. Franco Pestilli (pestilli(a)utexas.edu) Positions are available immediately and will remain open until filled. FRANCO PESTILLI, Ph.D. | Professor The University of Texas at Austin Psychology <https://liberalarts.utexas.edu/psychology/index.php> | College of Liberal Arts <https://liberalarts.utexas.edu/> Neuroscience <https://neuroscience.utexas.edu/> | College of Natural Sciences <http://cns.utexas.edu/> pestilli(a)utexas.edu | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | Laboratory <https://pestillilab.github.io/> Director, brainlife.io Director of Data Technology, mesoscale-connectivity.org <https://www.mesoscale-connectivity.org/> Director, braindatagovernance.org Chair, Infrastructure Committee INCF.org <https://incf.org/about/governance/infrastructure-committee-ic> Director, Brain Imaging Data Structure (BIDS) Connectivity Project <https://pestillilab.github.io/bids-connectivity/> Director, The Axonal Projectome Exchange Data Coordination Center

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Assistant Professor in Cognitive Sciences at UC Irvine
by Anna Leshinskaya Sept. 13, 2025

Sept. 13, 2025

Dear colleagues, The Department of Cognitive Sciences at the University of California, Irvine (UCI) seeks an innovative researcher for a tenure-track assistant professor position with an anticipated start date of July 1, 2026. We seek a researcher whose work combines the following two elements. First, the research is empirical and addresses substantive questions in human cognition (e.g., perception, memory, decision making). Second, the lens of analysis is informed by computational modeling including cognitive modeling, computational neuroscience or data science. We are particularly interested in candidates whose research uses behavioral experiments and AI approaches. This can include: (1) using AI as a model of human cognition to advance cognitive theory; (2) using cognitive tools and theories to scientifically understand neural networks; and (3) empirical work on human-AI interaction. AI models can include deep neural networks of vision or language, reinforcement learning systems, or others. UCI offers strong interdisciplinary collaborations across cognitive science, neuroscience, computer science, statistics, and engineering and is well-positioned to support research in areas such as robotics, neuroscience, and human-AI interaction. The successful candidate will build an independent research program while contributing to teaching, mentoring, and service. Learn more about our department and the university at: https://www.cogsci.uci.edu/. For full consideration, applications must be completed by November 15, 2025. Priority will be given to applications received by this date, but we will continue reviewing qualified candidates until the position is filled. Further information including the application can be found at: https://recruit.ap.uci.edu/JPF09896.

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Postdoctoral position part of the Simons Collaboration in Ecological Neuroscience at NYU
by Cristina Savin Sept. 12, 2025

Sept. 12, 2025

The Artificial and Biological Computation lab at NYU has an opening for a Postdoctoral Research Fellow in Computational Neuroscience/Machine Learning. Project: The fellow will work as part of the theory and data science team in the new Simons Collaboration in Ecological Neuroscience <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.simonsfoundation.o…> focuses on the principles of learning internal models of the world in the service of complex behavior. The position offers a unique opportunity to conduct high-impact, interdisciplinary research at the interface of machine learning, data science and neuroscience. Qualifications: PhD in Computational Neuroscience, machine learning or related fields. Strong background in machine learning and programming (Python). Of particular interest are candidates with previous research experience in reinforcement learning, probabilistic machine learning, and/or statistical methods for neural data analysis. Strong record of productivity as evidenced in past publications Strong motivation & ability to work independently and collaboratively in a multidisciplinary environment. Opportunities: Collaborate closely with a world-leading international research team with possibility of across lab visits Access to state-of-the-art computing resources. The opportunity to participate in the design of experiments and access to unique multi-species neuroscience datasets Application: To apply please email csavin(a)nyu.edu <mailto:csavin@nyu.edu> your CV, contact details of at least 2 references, and a brief (one page maximum) description of why are you interested in the position and how your expertise fits the call. Best CS _____________ Dr. Cristina Savin Assoc.Prof. in Neural Science and Data Science Director of Graduate Studies and Admissions for PhD in the Center for Data Science New York University

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Postdoctoral Research Fellow Position at Stanford University
by Yu Zhang Sept. 12, 2025

Sept. 12, 2025

*Postdoctoral Research Fellow Position in Computational & Translational Neuroscience* *Stanford University, USA* The Stanford Precision NeuroIntelligence Laboratory (SPNI Lab) has an opening position for Postdoctoral Research Fellow in Computational & Translational Neuroscience. *Position description:* The fellow will work on developing and applying advanced machine learning and deep learning methods for multimodal brain imaging (e.g., MRI, EEG) and cognitive/behavioral data analysis with the goal of discovering data-driven neural biomarkers for precision medicine in brain disorders. The position offers a unique opportunity to conduct high-impact, interdisciplinary research at the interface of machine learning, data science, neuroscience, and clinical translation. *Qualifications:* - PhD in Biomedical/Electrical Engineering, Computer Science, Neuroscience, or related fields. - Strong background in machine learning and programming (Python and/or MATLAB). - Excellent quantitative and analytical skills. Strong written and interpersonal communication skills. - Prior research experience in neuroimaging, computational neuroscience, or related fields, with publications in top-tier journals or conferences, is highly desirable. - Strong motivation & ability to work independently and collaboratively in a multidisciplinary environment. *Opportunities:* - Collaborate closely with world-leading neuroscience and clinical teams at Stanford University. - Access to large-scale clinical and neuroimaging datasets and state-of-the-art computing resources. - Comprehensive training in machine learning, neuroscience, and precision medicine, with mentorship tailored to foster independence and career development. *Stanford University:* Stanford University is a world-leading research institution, consistently ranked among the top universities globally. The university offers an unparalleled academic environment with cutting-edge facilities, vibrant interdisciplinary collaborations, and a diverse intellectual community. Its location in the heart of Silicon Valley provides unique opportunities for innovation and cross-sector partnerships. *Application:* Interested candidates should send their CV, a cover letter describing research accomplishments and interests, writing samples (e.g. published lead-author papers or preprints), a link to code examples, and 2-3 references to Dr. Yu Zhang (yzhangsu(a)stanford.edu) Application review begins immediately and will continue until the position is filled. We are looking forward to hearing from you! -- Yu Zhang, PhD Assistant Professor Department of Psychiatry and Behavioral Sciences Stanford University | School of Medicine Palo Alto, CA 94304 Stanford Precision NeuroIntelligence Lab <http://spnilab.weebly.com/> Email: yzhangsu(a)stanford.edu

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University of Toronto: Assistant Professor – Artificial Intelligence in Psychological Science
by Dirk Bernhardt-Walther Sept. 12, 2025

Sept. 12, 2025

*Assistant Professor – **Artificial Intelligence in Psychological Science* *Job posting* The Department of Psychology in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time tenure stream faculty position in the area of Artificial Intelligence in Psychological Science. The appointment will be at the rank of Assistant Professor with an anticipated start date of July 1, 2026. This search aligns with the University’s commitment to strategically and proactively promote diversity among our community members (Statement on Equity, Diversity & Excellence <https://governingcouncil.utoronto.ca/secretariat/policies/equity-diversity-…>). Recognizing that Black, Indigenous, and other Racialized communities have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply. Candidates must have earned a PhD degree in Psychology or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek candidates whose research and teaching interests complement and enhance our existing departmental strengths <https://www.psych.utoronto.ca/>. The successful candidate will be expected to pursue innovative and independent research, and to establish an outstanding, competitive, and externally funded research program. Candidates must provide evidence of research excellence which can be demonstrated by a record of publications in top-ranked and field relevant journals or forthcoming publications meeting high international standards, the submitted research statement, presentations at significant conferences, awards and accolades, and strong endorsements from referees. We seek candidates whose research integrates psychology with advances in AI and complements our core areas: developmental psychology; perception, cognition, and cognitive neuroscience; social and personality psychology; or behavioural neuroscience. Possible foci include AI applications in big data analysis (social), brain and thought process modeling (developmental, cognitive neuroscience), or multi-unit activity networking (behavioural neuroscience). Topics may also include human–machine interaction in a technologically augmented society, such as cognitive challenges of VR/AR or self-driving vehicles, and trust in generative AI content. Expertise in computational/quantitative modeling and teaching in statistics at the undergraduate and/or graduate level is especially welcome. Applicants are encouraged to review the research and teaching profiles of current faculty members. In your cover letter, please indicate into which of the above-mentioned research directions your own research profile would fall. Please visit our home page: Department of Psychology, www.psych.utoronto.ca Evidence of excellence in teaching will be demonstrated by teaching accomplishments, and the teaching dossier, including a teaching statement, sample course materials, and teaching evaluations or other evidence of superior performance in teaching-related activities submitted as part of the application, as well as strong letters of reference. Other teaching-related activities can include performance as a teaching assistant or course instructor, experience leading successful workshops or seminars, student mentorship, or excellent conference presentations or posters. The successful candidate will undertake undergraduate and graduate teaching responsibilities on the University’s STG CAMPUS (downtown Toronto). The successful candidate will join a vibrant intellectual community of world-class scholars at Canada’s leading university. The University of Toronto offers a wide range of opportunities for collaborative and interdisciplinary research and teaching, the excitement of working with a highly diverse student population and actively encourages innovative scholarship. The Greater Toronto Area offers amazing cultural and demographic diversity and one of the highest standards of living in the world. Salary will be commensurate with qualifications and experience. All qualified candidates are invited to apply online by clicking the link below. Applicants must submit a cover letter; a current curriculum vitae; a research statement outlining current and future research interests; a recent writing sample; and a teaching dossier including a teaching statement, sample course materials, and teaching evaluations or evidence of superior performance in other teaching related activities as listed above. Equity, diversity and inclusion are essential to academic excellence as articulated in University of Toronto’s Statement on Equity, Diversity and Excellence <https://governingcouncil.utoronto.ca/secretariat/policies/equity-diversity-…>. We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment. Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each referee within 48 hours after an application is submitted. Applicants remain responsible for ensuring that referees submit recent letters (on letterhead, dated and signed) by the closing date. More details on the automatic reference letter collection, including timelines, are available in the candidate FAQ <https://jobs.utoronto.ca/content/Frequently-Asked-Questions/?locale=en_US>. Submission guidelines can be found at http://uoft.me/how-to-apply <https://jobs.utoronto.ca/content/Frequently-Asked-Questions/>. Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. If you have any questions about this position, please contact Poppy Lockwood, Chair, Department of Psychology at psy.chair(a)utoronto.ca. All application materials, including recent reference letters, must be received by October 15, 2025. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission. As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

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Open postdoctoral position in Computational Neuroscience at UCLA
by Mario Dipoppa Sept. 10, 2025

Sept. 10, 2025

Dear colleagues, We invite applications for a postdoctoral position in the Theoretical and Computational Neuroscience Laboratory at UCLA. The selected candidate will investigate how brain computations emerge from the dynamics of neural circuits and how computational demands and biological constraints shape the neural code. Our research team (www.dipoppalab.com) led by Mario Dipoppa, is a cooperative and vibrant environment with close collaborations across UCLA’s world-class neuroscience community. Lab members receive excellent scientific training and career mentoring. Candidates should have a strong publication record in computational neuroscience or a related quantitative field, including but not limited to computer science, machine learning, engineering, bioinformatics, physics, mathematics, or statistics. Candidates who hold or are about to obtain a Ph.D. and are interested in joining the laboratory should submit: (i) a CV with a list of publications; (ii) one publication or preprint to which they made a significant contribution; (iii) a research statement (max two pages) describing past work and career goals; and (iv) contact information for three academic referees. Please submit all materials as a single PDF to mdipoppa(a)g.ucla.edu. The position is available immediately with a flexible start date. We offer competitive salary and benefits. Informal inquiries are welcome. Best regards, Mario Dipoppa -- *Mario Dipoppa, PhD* Assistant Professor *University of California, Los Angeles* *Department of Neurobiology* *David Geffen School of Medicine* *https://www.dipoppalab.com <https://www.dipoppalab.com>* *mdipoppa(a)g.ucla.edu <mdipoppa(a)g.ucla.edu>*

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funded PhD position in computational modeling of infant sensorimotor development - CTU, Prague
by Matej Hoffmann Sept. 10, 2025

Sept. 10, 2025

** *Dear colleagues,* * We invite applications for a PhD position in the Humanoid and cognitive robotics group (https://cyber.felk.cvut.cz/research/groups-teams/humanoids/ <https://cyber.felk.cvut.cz/research/groups-teams/humanoids/>) led by Assoc. Prof. Matej Hoffmann (https://sites.google.com/site/matejhof/ <https://sites.google.com/site/matejhof/>) at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. Project context The position is part of the project “Understanding infant body know-how development through baby humanoid robots (ROBOTBABY)”. The PhD student will focus on embodied computational models and/or the AI tools for developmental science. A compilation of our past work in this area is available at https://sites.google.com/site/matejhof/research/body-schema <https://sites.google.com/site/matejhof/research/body-schema>. Requirements * Master’s (or equivalent) degree in computer science, mechanical/electrical engineering, robotics, applied mathematics, or a related discipline. * Background in the specific research topics of the project and thesis or prior publications in the area are an advantage. What we offer * A PhD from a top-ranked European university (According to Computer Science rankings https://csrankings.org/ <https://csrankings.org/>, CTU ranks 6th in Europe in computer vision, and 7th in robotics). * Salary: approx. 1,600 EUR / month net (2,050 EUR gross), with performance- and publication-based bonuses. * A highly international and interdisciplinary group. * Access to baby humanoid robots (iCub, Pepper, Nao, and several robot arms with sensitive skin and robot hands) and simulators, motion capture facilities, and high-performance computing clusters. Starting date: January 1st, 2026 (flexible). The standard PhD duration is 4 years. How to apply: Please send the following documents to matej.hoffmann(a)fel.cvut.czwith “PhD application” in the subject line. -Motivation letter (max. 1 page) - CV (including contact details of two references) Deadline: October 1, 2025. If you are attending the 2025 IEEE International Conference on Development and Learning (ICDL) in Prague (https://icdl2025.fel.cvut.cz/ <https://icdl2025.fel.cvut.cz/>), feel free to approach me there. Best regards, Matej Hoffmann * -- Matej Hoffmann, PhD Associate Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Karlovo namesti 13 121 35 Praha 2, Czech Republic https://sites.google.com/site/matejhof/home https://cyber.felk.cvut.cz/research/groups-teams/humanoids/ +420 224 357 387

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Postdoc position in infant sensorimotor development - CTU, Prague
by Matej Hoffmann Sept. 10, 2025

Sept. 10, 2025

** *Dear colleagues, * * We invite applications for a postdoctoral position in the Humanoid and cognitive robotics group (https://cyber.felk.cvut.cz/research/groups-teams/humanoids/ <https://cyber.felk.cvut.cz/research/groups-teams/humanoids/>) led by Assoc. Prof. Matej Hoffmann (https://sites.google.com/site/matejhof/ <https://sites.google.com/site/matejhof/>) at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. Project context The position is part of the project “Understanding infant body know-how development through baby humanoid robots (ROBOTBABY)”. The postdoc will coordinate the developmental psychology aspects of the project, which aims to: 1. Study infant behavior in three scenarios: (i) spontaneous behavior, (ii) reaching to touch, (iii) reaching to visual targets. 2. Apply AI-based tools to extract motion trajectories from infant videos. 3. Refine and advance theories of body know-how development. The group offers a unique datasetof infant behavioral recordings, combined with state-of-the-art AI tools for automatic movement analysis. While the focus is behavioral, the project may also involve brain imaging (iEEG in adults, fNIRS in infants). Requirements * PhD in developmental or cognitive psychology, cognitive neuroscience, or related fields. * Expertise in the specific research topics and interest in embodied computational modeling is a plus. What we offer * Two-year appointment (with possible extension). * Salary: approx. 3000 EUR / month (gross), depending on the applicant’s qualifications, with additional bonuses tied to publication outputs. * No mandatory teaching; opportunities for teaching are available if desired. * A highly international and interdisciplinary group. * The postdoc will conduct independent research, help shape group research directions, and supervise students. * Access to baby humanoid robots and simulators, motion capture facilities, and high-performance computing clusters. International collaborations: The project involves collaborations with: * Prof. Daniela Corbetta (U. Tennessee Knoxville – UTK, USA) * Prof. Francesca Garbarini (U. Turin, Italy) * Prof. Yasuo Kuniyoshi and Dr. Hoshinori Kanazawa (U. Tokyo, Japan) * Prof. Matthew R. Longo (Birkbeck U., London, UK) * Prof. Tobias Heed (U. Salzburg, Austria) * Dr. Kevin O’Regan (U. Paris Cité, France) * Dr. Luke E. Miller (Donders Inst., Radboud U., Nijmegen, The Netherlands) Starting date: January 1st, 2026 (flexible). How to apply: Please send the following documents to matej.hoffmann(a)fel.cvut.czwith “Postdoc application” in the subject line. -Motivation letter (max. 1 page) - CV (including contact details of two references) Deadline: October 1, 2025. If you are attending the 2025 IEEE International Conference on Development and Learning (ICDL) in Prague (https://icdl2025.fel.cvut.cz/ <https://icdl2025.fel.cvut.cz/>), feel free to approach me there. Best regards, Matej Hoffmann * -- Matej Hoffmann, PhD Associate Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Karlovo namesti 13 121 35 Praha 2, Czech Republic +420 224 357 387 https://sites.google.com/site/matejhof/home https://cyber.felk.cvut.cz/research/groups-teams/humanoids/ IEEE ICDL 2025 General Chairhttps://icdl2025.fel.cvut.cz/

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Special Issue: Dynamics in Complex Systems: From Neurosciences to Psychiatry (JoVE)
by DEPANNEMAECKER Damien Sept. 10, 2025

Sept. 10, 2025

Dear all, We invite you to submit your work to our JoVE special issue<https://app.jove.com/fr/methods-collections/4215/dynamical-systems-approach…>, which will include an associated video demonstration to showcase your research. This Special Issue<https://app.jove.com/fr/methods-collections/4215/dynamical-systems-approach…>, “Dynamics in Complex Systems: From Neurosciences to Psychiatry”, explores how dynamical systems models can illuminate the complex, time-evolving processes underlying brain function and psychiatric disorders. From molecular interactions to large-scale brain networks and symptom dynamics, contributions will address how non-linear, multi-scale dynamics shape cognition, behavior, and mental health. We invite original research, reviews, and methodological papers focusing on dynamic processes across scales, including neural network oscillations, brain-behavior interactions, symptom networks in psychiatry, and clinical time-series analyses. Emphasis is placed on integrative approaches that bridge basic neuroscience and clinical applications. Both new results and methodological articles will be considered. Best, Christophe Gauld and Damien Depannemaecker link to the journal page: https://app.jove.com/fr/methods-collections/4215/dynamical-systems-approach… About JoVE: JoVE publishes methods, original research, case presentations and review articles. First, an author submits a manuscript, including a step-by-step protocol. For a method or case presentation the text of the manuscript needs to be novel; however, the results are representative and can be republished with appropriate permission. For an original research article, the text and the findings must be novel. Next, the manuscript is peer-reviewed. Please note that videos for original research articles and case reports are created only when the methods used require visual demonstration. If a video is not required, they will be published as text-only articles. There is no video created for a review article. However, there will be a video playlist on their article's webpage. This playlist will highlight JoVE videos that are relevant to the topic of the review. When authors submit it to our official submission site, they'll be asked to suggest some relevant videos for the playlist. Authors can provide some suggestions of relevant recent JoVE videos (2022-2025) based on their planned review topic for the playlist. If accepted, those that require a video will be turned into a script by our PhD-level science writers. A videographer will then come to your location for one day and film your protocol or video. Once filming is complete, the footage comes back to our video team who will do all the post-production work. The article is indexed in Web of Science, PubMed, SciFinder, and Scopus. This is the link to our publishing process and costs<https://1bdf5d0c.streaklinks.com/CkA1qpFLy5cdf8poxwvcLZDI/https%3A%2F%2Fwww…>. The fee is used to offset the costs involved in filming and post production (scripting, editing, professional voice over etc.). You will receive a copy of the video article that can be shared or linked to your website and used for training purposes. The costs for publishing are as follows. The list of fee waiver eligible nations is linked here<https://1bdf5d0c.streaklinks.com/CkA1qpBysvoOusj2tAQ3KMsX/https%3A%2F%2Fdoc…>. [image (1).png]

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LASCON 2026 - X Latin American School on Computational Neuroscience (Call for applications)
by Antonio Roque Sept. 9, 2025

Sept. 9, 2025

*LASCON 2026 – X Latin American School on Computational Neuroscience* *January 5–30, 2026 | University of São Paulo, Brazil* https://sisne.org/en/lascon-x/ *APPLICATION DEADLINE: October 4, 2025* **** Apologies for cross-posting **** Dear Colleagues, It is my pleasure to announce the *10th edition of the Latin American School on Computational Neuroscience (LASCON 2026)*, which will be held at the University of São Paulo, Brazil, from *January 5 to 30, 2026*. LASCON 2026 offers an intensive four-week training program designed for graduate students, advanced undergraduates, and early-career researchers interested in applying computational and mathematical methods to the study of neurons and neural networks. The curriculum spans multiple scales of brain modeling—from biophysically detailed neurons to large-scale networks and theoretical frameworks of brain function and dysfunction—and covers topics such as extracellular field modeling, synaptic and structural plasticity, brain disease and brain state modeling, artificial intelligence, criticality in brain dynamics, consciousness, and brain–machine interfaces. The program combines *morning lectures* on theory, *afternoon tutorials* using leading simulation tools (NEURON, NEST, NetPyNE), and *evening group project work*, culminating in student project presentations. This 10th edition marks a special milestone: *20 years of LASCON*. Since its first edition in 2006, the school has become a recognized international initiative in computational neuroscience training, attracting students from Latin America and beyond. Over the years, LASCON has welcomed participants from all continents, and its alumni (278 to date) have gone on to successful careers in academia and industry worldwide ( https://sisne.org/en/lascon-alumni/) To celebrate this anniversary, LASCON 2026 will feature the largest faculty in the school’s history, with lectures and tutorials covering a wide spectrum of subfields in computational neuroscience. Confirmed faculty include: Alain Destexhe (Paris-Saclay Inst. of Neuroscience, France) · Alessandro Treves (SISSA, Italy) · Aline Duarte (USP, Brazil) · Arnd Roth (UCL, UK) · Cláudia Vargas (UFRJ, Brazil) · Daniel Takahashi (UFRN, Brazil) · Demian Battaglia (Univ. of Strasbourg, France) · Enzo Tagliazucchi (Univ. of Buenos Aires, Argentina) · Fernanda Matias (UFAL, Brazil) · Florencia Iacaruso (The Francis Crick Institute, UK) · Gaute Einevoll (NMBU, Norway) · Gustavo Rohenkohl (USP, Brazil) · Hans Ekkehard Plesser (NMBU, Norway) · Harel Shouval (Univ. of Texas Medical School at Houston, USA) · Horacio Rotstein (NJIT & Rutgers, USA) · Junji Ito (Jülich, Germany) · Leonardo Elias (Unicamp, Brazil) · Lyle Muller (Western Univ., Canada) · Marja-Leena Linne (Tampere Univ., Finland) · Markus Diesmann (Jülich, Germany) · Maurício Girardi-Schappo (UFSC, Brazil) · Mauro Copelli (UFPE, Brazil) · Netta Cohen (Univ. of Leeds, UK) · Oswaldo Baffa (USP, Brazil) · Patricia Reynaud-Bouret (Côte d’Azur Univ., France) · Rodrigo Pavão (UFABC, Brazil) · Rodrigo Pena (Florida Atlantic Univ., USA) · Sonja Grün (Jülich, Germany) · Sophia Sanborn (Stanford Univ., USA) · Viktor Jirsa (Aix-Marseille Univ., France) · Valeriy Bragin (SUNY, USA) · William Lytton (SUNY, USA). *Applications*: The number of students is limited to 40. Applications must be submitted via the school’s Application form <https://forms.gle/FcqXe3rFvsdCtQZ29> and include a CV (in English) and two recommendation letters. The application deadline is *October 4, 2025 (midnight, US Pacific time)*. *Costs and support*: There is *no registration fee*. Subject to available funding, accommodation may be provided for participants coming from outside Greater São Paulo. Travel costs must be covered by participants. *Selection*: Priority will be given to Latin American students, but applications from all regions are warmly encouraged. LASCON 2026 is organized as an activity of the *FAPESP Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat)*. We look forward to welcoming you in São Paulo. Best regards, Antonio C. Roque Director, LASCON -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 <https://orcid.org/0000-0003-1260-4840> ResearcherID: C-2316-2011 <http://www.webofscience.com/wos/author/record/C-2316-2011> Google Scholar: GqHWF74AAAAJ <http://scholar.google.com.br/citations?user=GqHWF74AAAAJ> CV Lattes: 4609096963207702 <http://lattes.cnpq.br/4609096963207702>

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PhD position in computational and experimental neuroscience
by Thomas Knoesche Sept. 8, 2025

Sept. 8, 2025

The Brain Networks Research and Development Group at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig, Germany, lead by Professor Thomas Knösche offers a PhD position for 3 years. The project is dedicated to elucidating the role of long-range brain connectivity in human language processing and will involve EEG and MRI experiments as well as realistic modeling of biological neural networks. It is a cooperation between the TU Berlin, the TU Chemnitz, the Czech Academy of Sciences, and the MPI-CBS, funded by the DFG. Candidates should hold a master (or equivalent) degree and have a background in engineering, computer science, neuroscience, physics, or similar, as well as a keen interest in neuroscience. Good computer programming skills (e.g., C++, Matlab, Python) are necessary. Some experience in EEG or MEG experimenting and data analysis would be beneficial, though not strictly required. Skills or interest in MRI processing (especially diffusion MRI), biophysical neural modeling, and machine learning are welcome. The Institute offers a world-leading research environment with outstanding facilities and research infrastructure (five MR scanners, including a 3T Connectom and 7T Terra.X; MEG; EEG TMS). The Brain Networks group is dedicated to the development of methods to investigate, model, and understand brain networks and how they give rise to human behavior and cognition. Current projects are centered around non-invasive brain stimulation of the motor system, sensory perception, the relation between human cognition and machine learning, and others. The position is currently offered for three years with the possibility of an extension by another year subject to future funding acquisition. Starting date is flexible. The salary is fixed in accordance with the collective agreement for the public sector: 65% TVöD E13. Funding is available for three years. To apply, please submit (1) a statement describing your research interest and motivation to apply for one of these positions as well as your qualifications for the positions (max. 2 pages), (2) a full CV, (3) transcript of records for the master and bachelor degrees, and (4) names and contact details of up to two potential referees. There is no formal closing date for applications, however, we will start screening applications in October 2025. Please feel free to contact Prof. Dr. Thomas R. Knösche (knoesche(a)cbs.mpg.de) for informal enquires about the position. The Max Planck Society seeks to employ more people with disabilities and strongly encourages them to apply. Furthermore, we actively support the compatibility of work and family life. The Max Planck Society strives for gender equality and diversity. -- Prof. Dr. Thomas R. Knösche Brain Networks (@brainnetleipzig) Max Planck Institute for Human Cognitive and Brain Sciences Stephanstraße 1A 04103 Leipzig Germany Tel +49 341 9940 2619 Fax +49 341 9940 2624 knoesche(a)cbs.mpg.de http://www.cbs.mpg.de/~knoesche

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open PhD position - Memory/Navigation - Max Planck Institute CBS, Leipzig
by Andrej Bicanski Sept. 8, 2025

Sept. 8, 2025

Dear colleagues, I am advertising a PhD position in computational neuroscience in my group (Neural Computation) - fully funded (3 years) - at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig. The position is part of an international collaborative effort (4 labs) to test and develop further computational models of episodic and spatial memory by combining human intracranial electrophysiology and computational models. Specifically, the project will explore computational/neural mechanisms underlying cognitive maps, spatial (and episodic) memory, and navigation. The candidate will have two main tasks: 1. develop new and improve existing models, 2. co-develop an analysis pipeline for human single units. Prerequisites are outstanding records in an area relevant to neuroscience. A strong quantitative background in the natural sciences, mathematics, computer science or engineering is also suitable (e.g., physics, mathematics, etc.). Excellent programming skills (Python, Matlab) are required. This project is part of an international collaboration with the Universities of Bonn (Prof. Lukas Kunz), Berlin (Prof. Richard Kempter), and Columbia (Prof. Josh Jacobs). Please direct potential candidates to the ad at: https://tinyurl.com/yc84ctap This position is being re-advertised. The starting date is flexible, but ideally candidates are available in the near future. Applications will be considered as long as the above advert is accessible. You can read more on the neural computation group here: https://www.cbs.mpg.de/psychology/neural-computation Best wishes, Andrej Bicanski Dr. Andrej Bicanski Neural Computation Group Max Planck Institute for Human Cognitive and Brain Sciences Stephanstrasse 1a, 04103 Leipzig, Germany Email: bicanski(a)cbs.mpg.de Tel.: +49 (0)341 9940197

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Uri Hasson speaking on September 25 in Developing Minds global online lecture series
by Jochen Triesch Sept. 8, 2025

Sept. 8, 2025

Dear colleagues, On September 25, the Developing Minds global online lecture series is proud to host Uri Hasson from Princeton University, USA, speaking on: "Developing cognitively feasible learning agents that can acquire language like children through real-life experiences“. Thursday, September 25, 2025: 9:00 am EST (Eastern Standard Time, US) 14:00 UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 22:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/65594262654?pwd=2BdrxR1IvUy2rjn3dDmfEVGXy… Meeting-ID: 655 9426 2654 Access code: 141793 Abstract: Understanding how humans learn to think, speak, and interact in natural environments is one of the most significant scientific challenges. Traditional computational models perform well in artificial tasks but struggle to generalize to real-life ecological situations. In contrast, new deep learning models excel at processing real-world information and demonstrate cognitive abilities close to those of humans. However, these models are trained on impractically large datasets and use training protocols that are not cognitively feasible, which limits their ability to explain or predict human learning and cognitive development. This project aims to develop the first cognitively feasible learning agents—AI systems that learn language and cognition within constraints that mimic human development. Leveraging a unique dataset (the 1kD corpus)— continuous daily audio-visual recordings from 18 children’s first 1,000 days of life—we will train models directly on the ecologically valid, socially embedded experiences that shape children’s growth. Unlike large-scale industrial models, which depend on vast impersonal datasets, our approach emphasizes individual-centered, real-world input that captures the long-tail variability of human development. By replicating learning trajectories across multiple households, we will establish the first mechanistic framework for how natural input shapes children’s cognition. The project represents a bold shift from analyzing existing models to building new brain-inspired learning agents, directly addressing ecological validity and laying the foundation for a new generation of cognitive science. Short Bio: Uri Hasson grew up in Jerusalem. He studied philosophy and cognitive sciences at the Hebrew University as an undergrad. He completed his Ph.D. in Neurobiology at the Weizmann Institute in Israel and was a postdoctoral fellow at NYU before moving to Princeton. He is currently a Professor in the Psychology Department and the Neuroscience Institute at Princeton University. His research program aims to understand the neural basis of face-to-face, brain-to-brain, communication in real-world contexts, using big ECoG data and deep language models. 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 Presentations and Workshops: 5th Applied Active Inference Symposium (November 12-14, 2025)
by Zohreh Rahmannejad Sept. 6, 2025

Sept. 6, 2025

Dear Colleagues, (Apologies for any cross-posting.) We are excited to invite researchers and practitioners to submit presentations for the upcoming 5th Applied Active Inference Symposium 2025, to be held on 12-14 November, 2025. This online Symposium will focus on exploring the frontiers of Active Inference with a special focus on its applications in industry. As with last year’s Symposium, the keynote address and panel will feature Karl Friston. All information: symposium.activeinference.institute/ Complete this form <https://coda.io/form/5th-Applied-Active-Inference-Symposium-Presenter-Form_…> to submit your presentation proposal, and/or read on for more details. Please feel free to share this invite with anyone else who you think would be a great addition to the Symposium. Symposium Themes and Topic We are welcoming presentations and workshop submissions that align with the Symposium themes and tracks: - Overall Theme - - Applying Active Inference in Industry: In 2025 we are seeing increased application of Active Inference across industry domains. What are the success stories? What was learned along the way? What challenges remain? What kind of applied research would accelerate applications? - Topics - - Open Science & Tool Development: Increasing the function and accessibility of Active Inference software across languages. Focused tracks and workshops on practical aspects of Active Inference. - Learning & Education: Share initiatives and experiences in teaching and spreading knowledge about Active Inference. Connecting the global Active Inference community with each other, resources, and research/education opportunities. Interactive Aspects & Specific Affordances Submissions of the following types are welcomed: - Presentations: Pre-recorded video presentations of 15-60 minutes, or livestream slots of 30-90 minutes for panels or group discussions. - Workshops, Tutorials, and Hackathons: Hands-on sessions of 60-180 minutes, that engage participants with Active Inference methods and provide open source materials/outputs. Accessibility & Participation We are committed to making this online symposium accessible to all. - Participant registration: The Symposium will be online, with no financial barrier to participation. We will provide pathways for participants to foster deeper involvement with ongoing research and projects <https://activities.activeinference.institute/> in the ecosystem. - Collaboration with Active Inference Journal: We will publish the Abstracts of presentations (similar to last year <https://zenodo.org/records/14106553>) to give visibility to proceedings and enhance availability of the materials - Translation: We will translate materials into different languages where possible, to provide content that reaches a broader audience (the organizing team will support presenters on this). - Multimodal Content: audio, visual, interactive/real-time simulations or other media that help communicate complex ideas. The content will remain posted on our YouTube channel for asynchronous viewing following the symposium. Important Dates - Presenter Submission Deadline: October 12, 2025 - Symposium Dates: November 12-14, 2025 How to Submit Please submit your abstracts and proposals via this form <https://coda.io/form/5th-Applied-Active-Inference-Symposium-Presenter-Form_…>. Symposium co-organizers: Alexander Ororbia, Alexandra Mikhailova, Andrew Pashea, Bradly Alicea, Christian Martens, Cory Slater, Daniel Friedman, Marc Broberg, Maria Garcia, Maria Luiza Iennaco, PabloFM, Rorik Smith, Sylvia Zhang, Bleu Knight, Zohreh Rahmannejad, Alex Vyatkin Contact Information: For any inquiries, please reach out to blanket(a)activeinference.institute . We are also seeking sponsors <https://coda.io/d/AII_do5M5iYau8H/Sponsorship-at-the-Symposium_sue6mCUY> at this time. Information on participant registration will be available here <https://symposium.activeinference.institute/> closer to the date.

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Postdoc Opportunity in Neonatal Brain Imaging in London – Apply by 25 September
by Fabrizi, Lorenzo Sept. 5, 2025

Sept. 5, 2025

🔬🧠👶 We’re recruiting a Postdoctoral Research Fellow to join a new collaborative project between UCL’s Medawar Pain and Somatosensory Labs, UCLH, and Birkbeck BabyLab/ToddlerLab<https://cbcd.bbk.ac.uk/toddlerlab>, led by Prof. Lorenzo Fabrizi<https://profiles.ucl.ac.uk/1290>, Dr. Judith Meek<https://www.uclh.nhs.uk/our-services/find-consultant/dr-judith-meek> and Prof. Emily Jones<https://cbcd.bbk.ac.uk/people/scientificstaff/emily-jones>. This interdisciplinary research explores how early sensory experiences influence long-term sensory processing in preterm-born neonates and children. 🧪 Your Role: • Use EEG and novel sensory testing methods • Identify individuals at risk of sensory challenges • Collaborate with leading experts in brain imaging and neurodevelopment 🎓 We’re Looking For: • Background in Medical Physics, Bioengineering, Computational Neuroscience, or related fields • Proficiency in brain imaging and programming • Strong communication and teamwork skills 🌍 Where: UCL, UCLH, and Birkbeck, London, UK 📅 Deadline: 25 September 2025 📋 Apply here<https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=15369&…> Lorenzo Fabrizi, PhD Professor of Developmental Systems Neuroscience Medical Research Foundation Fellow Neuroscience, Physiology and Pharmacology Department Room G17A, Medawar Building Bloomsbury Campus University College London Gower St, London WC1E 6BT office tel. 02031081888 (int. 51888)

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Five Faculty Positions in Neuroscience at U Notre Dame
by Robert Rosenbaum Sept. 5, 2025

Sept. 5, 2025

Dear colleagues, The University of Notre Dame is hiring 5 tenure or tenure-track professors in Neuroscience, including Computational Neuroscience, across 4 departments. Feel free to reach out with any questions. And please share with any colleagues who might be interested. apply.interfolio.com/173031 Best, Robert Rosenbaum

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Postdoctoral Position in Computational Cognitive Neuroscience (Marseille, France)
by Andrea Brovelli Sept. 5, 2025

Sept. 5, 2025

** *We are pleased to announce a postdoctoral opening in computational cognitive neuroscience in the group of Dr. Andrea Brovelli <https://brovelli.github.io/>at the Institut de Neurosciences de la Timone(INT <https://www.int.univ-amu.fr/>), Marseille, France.* * The successful candidate will join the Brain Networksteam (BraiNets <https://www.int.univ-amu.fr/recherche-int/equipes/brainets>), a research group at INT in computational neuroscience at the interface of systems neuroscience, cognitive neuroscience, network neuroscience, machine learning, and artificial intelligence. The recruited postdoc will work in close collaboration with Dr. Alain Barrat at the Centre de Physique Théorique (CPT <https://www.cpt.univ-mrs.fr/>). This highly interdisciplinary project combines information-theoretic and network-science approaches to investigate the role of brain interactions in goal-directed causal learning, using multi-scale human neurophysiological data (magnetoencephalography, MEG, and intracranial stereo-electroencephalography, SEEG). What We’re Looking For * PhD in Cognitive and/or Computational Neuroscience, or in Physics, Computer Science, or Mathematics with a strong motivation to transition into neuroscience * Research experience with neural data (e.g., EEG, MEG, ECoG, LFPs) is highly valued * Knowledge of neural mechanisms and computational models of learning and decision-making is welcome * Expertise in information theory, signal processing, or network neuroscience is valued * Proficiency in Python is required * Excellent scientific communication and collaboration skills; publications in top-tier scientific journals are welcome Position Details * Start date:Flexible (ideally before April 2026) * Duration:24 months * Application deadline:November 15, 2025 Application InstructionsPlease send your application (CV and motivation letter) to Dr. Andrea Brovelli. In addition, arrange for two letters of recommendation to be sent by your supervisors. ContactDr. Andrea Brovelliandrea.brovelli(a)univ-amu.fr*

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Cross-domain saliency maps: interpretable attributions for EEG/MEG/LFP models (PyTorch & TensorFlow library)
by Christodoulos Kechris Sept. 3, 2025

Sept. 3, 2025

We are introducing a saliency map method that produces meaningful attributions for time-series ML models. Instead of restricting explanations to the time domain, our approach generates saliency maps in relevant domains such as frequency or ICA components - improving interpretability when applying deep models to EEG/MEG/LFP. *Cross-Domain Saliency Maps* is an open-source toolkit that: - Provides frequency and ICA domain attributions out-of-the box - Extends to any invertible transform with a differentiable inverse - Works plug-and-play with PyTorch and TensorFlow, no retraining required - Demonstrates utility on EEG seizure detection and other datasets *Get started:* *What does your deep model see in your EEG? (Colab demo) * https://colab.research.google.com/drive/1mJmLGzgJaGFJ50Q3BmNVeUECtZQzFLQP#s… *Get the code & run it on your data (GitHub repo)* https://github.com/esl-epfl/cross-domain-saliency-maps <https://github.com/esl-epfl/cross-domain-saliency-maps> *Read the full story (arXiv preprint)* https://arxiv.org/pdf/2505.13100 We would be happy to hear your thoughts and experiences applying this to neural data.

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conference announcement
by Tom Verguts Sept. 3, 2025

Sept. 3, 2025

Announcing NEUROCOG 2025 Artificial Intelligence and the Human Brain NEUROCOG is a biannual international conference in cognitive neurosciences, held in Belgium. It serves as a dynamic platform for sharing recent advances across all domains of cognitive neuroscience. 🎓 Keynote Speakers * Chris Summerfield * Evelina Fedorenko * Jeff Bowers * Iris Groen * Mariya Toneva * Nicolas Schuck Each keynote talk is followed by extended discussion time. With the same goal of fostering the interactions and discussions among the attendants, there will be no parallel talk sessions and the number of individual talks, as the number of attendants, will be limited. Two guided poster sessions will also be organised. 📅 November 17–18, 2025 📍 Academy Palace, Hertogstraat 1, Brussels (BE) (Walking distance from Brussels Central Station) 📝 Submission Deadline: September 30 🧾 Registration Deadline: October 15 ________________________________ 🔗 More Information * 🌍 Website: neurocog.be<http://neurocog.be/> * 📧 Contact: neurocog2025(a)gmail.com<mailto:neurocog2025@gmail.com>

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COSYNE 2026: Meeting announcement; Call for Abstracts
by Tomas Hromadka Sept. 2, 2025

Sept. 2, 2025

==================================================== Computational and Systems Neuroscience 2026 (Cosyne) MAIN MEETING 12 - 15 March 2026 Lisbon, Portugal WORKSHOPS 16 - 17 March 2026 Cascais, Portugal www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 16 October 2025. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Abstract submission opens: 05 September 2025 Abstract submission deadline: 16 October 2025 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Tatiana Engel (Princeton) and Kevin Franks (Duke) Program Chairs: Kimberly Stachenfeld (DeepMind) and Mark Histed (NIH) Workshop Chairs: N Alex Cayco Gajic (ENS) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chairs: Eva Dyer (Georgia Tech) and Talmo Pereira (Salk) Mentorship and Networking Chairs: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Lea Duncker (Columbia) and Kevin Miller (DeepMind) Development Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Mark Histed (NIH) Co-chair Kimberly Stachenfeld (DeepMind) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Helen Barron (Oxford) Marcus Benna (UCSD) Adrian Bondy (Princeton) N Alex Cayco Gajic (ENS) Hannah Choi (Georgia Tech) Ben Cowley (CSHL) Brian DePasquale (BU) Sridhar Devarajan (IISc) Laura Driscoll (Allen Institute) Eva Dyer (U Penn) Becket Ebitz (U Montreal) Noemi Elteto (DeepMind) Arseny Finkelstein (Tel Aviv U) Juan Alvaro Gallego (Imperial) Matt Golub (U Washington) Laura Grima (Janelia) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Y Kate Hong (CMU) Michele Insanally (U Pittsburgh) Jonathan Kao (UCLA) Ann Kennedy (Northwestern) Kishore Kuchibhotla (JHU) Anna Levina (U Tubingen) Camilo Libedinsky (National Institute of Singapore) Laureline Logiaco (CU Anschutz) Emily Mace (Med Cntr Gottingen) Emily Mackevicius (Basis) Francesca Mastrogiuseppe (Champalimaud) Alexander Mathis (EPFL) Luca Mazzucatto (U Oregon) Dan McNamee (Champalimaud) Jorge Mejias (UVA) James Murray (U Oregon) Hendrikje Nienborg (NIH) Ramon Nogueira Manas (U Chicago) Gouki Okazawa (Inst of Neurosci, China) Marino Pagan (U Edinburgh) Agostina Palmigiano (UCL) Hannah Payne (NYU) Rui Ponte Costa (Oxford) Carolina Rezaval (U Birmingham) Erin Rich (NYU) Alex Roxin (Centre de Recerca Matematica) Shreya Saxena (Yale) Benjamin Scott (BU) Alireza Soltani (Dartmouth) Nicholas Steinmetz (UW) Carsen Stringer (Janelia) Jennifer Sun (Cornell, DeepMind) Marie Suver (Vanderbilt) Tatjana Tschumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brandon (Brady) Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (Centre de Recerca Matematica) Anqi Wu (Georgia Tech) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

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BabyBench Competition @ IEEE ICDL 2025: deadline extended to September 8
by Jochen Triesch Sept. 2, 2025

Sept. 2, 2025

Dear colleagues, Due to several requests the deadline of the first BabyBench Competition @ IEEE ICDL 2025 has been extended to September 8 (midnight, Pacific time). This first BabyBench Competition (https://babybench.github.io/2025) is featured at the IEEE International Conference on Development and Learning (ICDL) 2025 (https://icdl2025.fel.cvut.cz/) The topic is how infants discover their own bodies. Can you help the multimodal infant model MIMo learn two typical infant behaviors: self touch and hand regard? What is BabyBench? BabyBench is a Multimodal Benchmark of Infant Behaviors for Developmental Artificial Intelligence. The goal of the competition is to devise learning algorithms that allow MIMo to obtain important milestones of cognitive development. We provide the embodiment, the simulation environments, and the evaluation metrics; all you need is to implement your ideas. Are you up for the challenge? Important dates • New submission deadline: September 8, 2025 • Winner announcement at ICDL: September 19, 2025 Why Participate? • Low Entry Barrier: Get started quickly using our pre-defined, user-friendly simulation environment. Whether you're a seasoned researcher or a curious newcomer, the BabyBench platform is designed to let you focus on modeling, not engineering. • The winner will receive a €150 prize sponsored by the IEEE RAS TC Cognitive Robotics. • All finalists will receive a certificate at the IEEE ICDL. • Contribute to the Developmental AI community! For more information visit: https://babybench.github.io/2025 Main contact point: Francisco Lopez (fcomlop(a)gmail.com) Feel free to forward this to anyone who might be interested! Warm regards, The BabyBench 2025 Organizing Team Francisco M. López (Frankfurt Institute for Advanced Studies) Valentin Marcel (Czech Technical University in Prague) Xavier Hinaut (INRIA Bordeaux) Jochen Triesch (Frankfurt Institute for Advanced Studies) Matej Hoffmann (Czech Technical University in Prague)

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Job offer for Postdoctoral Researcher in Computational Neuroimaging (Psychosis & Lifespan Normative Modelling)
by christian.gaser＠uni-jena.de Sept. 1, 2025

Sept. 1, 2025

**Employer**: Department of Psychiatry, Jena University Hospital **Contract**: 2 years initially; renewable for up to 3 additional years subject to performance **Project**: “The glue that holds the pieces together”: Unlocking Cognitive Health in Psychotic Disorders (Wellcome Trust) **Application deadline**: 30 September 2025 **Preferred start**: from November 2025 *Short description* This project will (i) quantify global and regional deviations from typical ageing using brain-age models, (ii) disentangle prenatal vs. postnatal structural deviations by leveraging lifespan normative models for cortical gyrification and grey-matter volume, and (iii) characterise and predict longitudinal brain change in psychosis by estimating individual rates of ageing. *Role* You will extend BrainAGE from global estimates to regional normative models using Bayesian regression and GAMLSS to derive age- and region-specific reference distributions (centiles) and individual deviation scores. The work spans multi-site morphometry, scanner harmonisation, model comparison, and external validation. You will work closely with the project lead at the University of Bath and collaborate with partners in Cambridge, Oxford, London, and Cardiff on all aims, including joint analyses and dissemination. *What we offer* * Join the small, highly engaged team behind the CAT12 toolbox and BrainAGE. * A collaborative, supportive atmosphere with genuine day-to-day interaction and room to do your best work. * Close collaboration with the Bath lead and active links to Cambridge, Oxford, London, and Cardiff (regular cross-site meetings and joint outputs). *Requirements* * PhD in Psychology, Mathematics, Computer Science, Neuroscience, Physics, or a related field. * Strong skills in machine learning and statistics; experience with Gaussian process regression and/or probabilistic regression. * Experience with normative modelling is an advantage. * Proficiency in Python (and ideally C/C++); experience with MRI morphometry. * Ability to work independently and as part of a team; excellent written and spoken English. *Application* Please send one PDF containing: motivation letter; CV (including publications); degree certificates with grades; list of relevant courses; and the names and email addresses of two referees to Christian.Gaser(a)uni-jena.de till 30 September 2025. *Contact* For further information about the project, contact: Prof. Dr. Christian Gaser — Tel: +49-3641-9325778 — Email: Christian.Gaser(a)uni-jena.de

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Tenure track position in Lyon: AI & Neurociences
by DI VOLO MATTEO Sept. 1, 2025

Sept. 1, 2025

Dear Colleagues, We are pleased to announce the opening of a Junior Professor (CPJ) position at the University of Lyon 1, entitled Towards a New Convergence of AI and Neuroscience The recruited candidate will lead a research project focused on the development of biologically plausible AI models, linking physiology and cognition. The position is affiliated with the CRNL (Centre de Recherche en Neurosciences de Lyon): https://www.crnl.fr/fr On the teaching side, the CPJ will contribute to the creation and promotion of new interdisciplinary training programs at the interface of AI and Biology/Health, across Bachelor, Master, and Engineering levels. A funding package of 260,000 euros (in addition to the candidate’s salary) is allocated to support of this project. Applications must be submitted via the French Galaxie–Odyssee platform, closing on September 11. Please note that an account must be created to access the platform. Contacts: * Research Laurent Bezin, CRNL Director – laurent.bezin(a)cnrs.fr<mailto:laurent.bezin@cnrs.fr> Jérémie MAattout, CRNL - jeremie.mattout(a)inserm.fr * Teaching Matteo Di Volo – matteo.di-volo(a)univ-lyon1.fr We would appreciate it if you could circulate this announcement within your networks. Many thanks, Matteo di Volo

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Reminder: Call for proposals_EduBrains Training Programme ***deadline 04.09.25***
by Frings, Maren Sept. 1, 2025

Sept. 1, 2025

Dear all, We hope this email finds you well. We would like to kindly remind you about the ongoing call for proposals for the EduBrains training series, a unique opportunity for early-career researcher! The training program will offer the opportunity to: * Gain practical and theoretical skills in innovative brain health research * Become a power user of <https://www.ebrains.eu/> EBRAINS, the open research infrastructure that gathers data, tools and computing facilities for brain-related research * Receive training on ethics, dual use, data protection and FAIR open science * Connect with international initiatives, institutions and leading scientists The series of events comprises a total of seven modules over a period of 24 months, which are planned as on-site and online events. Send us an application letter in English explaining your motivation for participating in the training series and include two letters of recommendation until 04.09.2025 to <mailto:edubrains@fz-juelich.de> edubrains(a)fz-juelich.de. More information can be found https://foldercase.com/proext.php?pid=466. and, in case of questions, feel free to contact us. Spaces are limited, don´t miss the chance to be part of this unique initiative! Warm regards, Maren and Valentina Dr. Maren Frings Project Manager Simulation & Data Lab Neuroscience Division HPC in Life Science Jülich Supercomputing Centre Tel +49 2461 61-6431 Fax +49 2461 61-6656 <http://www.fz-juelich.de/ias/jsc> www.fz-juelich.de/ias/jsc --------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------- Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellvertretende Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers --------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------- Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellvertretende Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers --------------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------------

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PhD position on multiscale theory and simulation of human language processing
by Tilo Schwalger Aug. 28, 2025

Aug. 28, 2025

A PhD position on multiscale theory and simulation of human language processing is available in the group of Prof. Tilo Schwalger at the Technical University Berlin and the Bernstein Center for Computational Neuroscience Berlin (https://page.math.tu-berlin.de/~schwalge) Germany. The position is offered in the context of the project The Role of Long-Range Brain Connectivity in Human Language Processing (ConnLingua), a collaboration between the Technical University Berlin, the Max-Planck Institute for Human Cognitive and Brain Sciences (Leipzig), the Technical University Chemnitz, and the Czech Acedemy of Science (Prague). We will use spiking neural network models for cortical microcircuits, models of white-matter connectivity as well as advanced mean-field methods and human MEG data to develop a whole-brain model that elucidates the neural mechanisms of syntactic language operations. The candidate should have a background in physics, mathematics, computer science, or computational neuroscience. Excellent analytical and programming skills as well as a keen interest in mathematical modeling are required. In addition, expertise in stochastic nonlinear dynamics is desirable. At the Bernstein center, we offer a structured program guiding doctoral researchers through the PhD work and plenty of opportunities for collaborations. The PhD student will also benefit from intensive scientific interactions among researchers of the different labs of the project. For more details, please contact me (e-mail: tilo.schwalger(a)bccn-berlin.de) Please include a CV with publication list. -- Prof. Dr. Tilo Schwalger Bernstein Center for Computational Neuroscience, Berlin Philippstr. 13, Haus 6, 10115 Berlin Room: 202, phone: 0049(0)302093 6788 Technische Universität Berlin Institute of Mathematics Straße des 17. Juni 136, 10623 Berlin Room: 784, phone: +49 (0)30 314-22698 http://page.math.tu-berlin.de/~schwalge tilo.schwalger(a)bccn-berlin.de

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Submissions Open to the Frontiers in Computational Neuroscience Research Topic
by Amin Kamaleddin Aug. 27, 2025

Aug. 27, 2025

Dear Colleagues, We're pleased to announce an open call for submissions to the Frontiers in Computational Neuroscience Research Topic: Advancements in Neural Coding: Sensory Perception and Multiplexed Encoding Strategies A comprehensive collection exploring neural coding principles across sensory systems, including multiplexed encoding, temporal dynamics, neuromorphic hardware implementations, noise resilience, and beyond. Why submit? - This Research Topic is currently accepting submissions - Articles may include Original Research, Methods, Reviews, Hypotheses & Theory, and more—refer to the full list of article types on the collection webpage Submit via this link: Submission Link Key next steps: - Review the section’s Author Guidelines to ensure your manuscript aligns with scope and formatting. - Reach out promptly—though no formal deadline is stated, early submissions are encouraged. Please share this with peers whose work aligns with the topic, and consider contributing to this timely and impactful collection. Best regards,

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Tenure Track Position at Rice University
by Caleb Kemere Aug. 26, 2025

Aug. 26, 2025

Dear Colleagues, The Department of BioSciences at Rice University (biosciences.rice.edu) invites applications for an tenure track faculty position. We seek candidates with research programs in theoretical and computational neuroscience, including those who seek to understand nervous system structure and function at the molecular, cellular, and/or developmental levels. All ranks (Assistant, Associate, or Full Professor) with a track record of research excellence commensurate with their seniority will be considered. Application review will start October 1, 2025 and will continue until the positions are filled. More information can be found here: https://apply.interfolio.com/172558 Please pass along this announcement to any potential candidates you know who might be interested. Any inquiries regarding this search may be sent to Drs. Rosa Uribe (ru5(a)rice.edu) and Joff Silberg (joff(a)rice.edu) Caleb Kemere -- – 713-348-6089 : MS-384 : BRC971 : http://rnel.rice.edu – – Assoc. Prof, Rice University Electrical & Computer Engineering –

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Tübingen System Neuroscience Symposium 2025 (SNS2025)
by Tübingen SNS Aug. 26, 2025

Aug. 26, 2025

The Centre for Integrative Neuroscience of the University of Tübingen is pleased to announce the *Tübingen Systems Neuroscience Symposium 2025 (SNS2025)* on *October 6 and 7, 2025 * This annual international meeting will bring together leading researchers in the field of systems neuroscience featuring plenary lectures, poster sessions and social events. Join us in Tübingen to learn about latest advances in systems neuroscience. Confirmed speakers: Marlene Cohen, *University of Chicago* Simone Ebert, *University of Tübingen* Marion Inostroza, *University of Tübingen* Tim Kietzmann,* University of Osnabrück* Etienne Koechlin, *Ecole Normale Supérieure de Paris* Floris de Lange, *Radboud University Nijmegen* Jan Lause, *University of Tübingen* Arthur Lefevre, *University of Lyon* Valerio Mante,* ETH and University of Zürich* Emily Oby, *Queen's University* Liina Pylkkänen, *New York University* Tomás Ryan, *Trinity College Dublin* Laura Seidler, *University of Tübingen* Sylvia Schröder, *University of Sussex* Manuel Spitschan, *Max Planck Institute Biological Cybernetics* Christopher Summerfield, *Oxford University* Mara Wolter, *University of Tübingen* For more information and registration, please visit: http://meg.medizin.uni-tuebingen.de/sns_2025/ Follow us on: 🦋 Bluesky: https://bsky.app/profile/snstuebingen.bsky.social 🐦 X (Twitter): https://x.com/tuebingen_SNS Best regards, SNS 2025 Conference Organizers

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UK Theoretical Neuroscience Workshop & Call for Posters – London, Dec 16, 2025
by Dimitris Pinotsis Aug. 26, 2025

Aug. 26, 2025

UK Theoretical Neuroscience Workshop & Call for Posters – London, Dec 16, 2025 We are delighted to invite you to the UK Theoretical Neuroscience Workshop, taking place on December 16, 2025, at City St George’s, University of London. This one-day workshop in central London will bring together researchers from across the UK and beyond to share ideas, present cutting-edge work, and spark discussions on computational and theoretical neuroscience. Please find the schedule and details below. Highlights: - An exciting lineup of invited talks covering diverse areas of theoretical and computational neuroscience. - A Poster Session, offering a platform to showcase your research and engage with peers. - A Poster Award, recognizing outstanding contributions and presentations. Schedule: 09:05–09:40 — Claudia Clopath — Semantic extraction via systems consolidation 09:40–10:15 — Dan Goodman — TBA 10:15–10:50 — Thomas Nowotny — Harnessing the adjoint method for gradient descent in spiking neural networks 10:50–11:15 — Break & Posters 11:15–11:50 — Li Su — Digital twin models that talk the talk and walk the walk 11:50–12:25 — Sean Froudist-Walsh — TBA 12:25–13:00 — Vassilis Cutsuridis — Super memory retrieval in the hippocampus 13:00–14:00 — Lunch & Posters 14:00–14:35 — Karl Friston — Active inference and artificial curiosity 14:35–15:10 — Rick Adams — TBA 15:10–15:45 — Conor Houghton — TBA 15:45–16:10 — Break & Posters 16:10–16:45 — Peter Grindrod — The insights from neuroscience driving next generation neuromorphic AI and information processing 16:45–17:20 — Enrico Amico — Higher-order connectomics of human brain function 17:20–17:30 — Poster Award & Closing Remarks Call for Posters (with Poster Award): We invite poster submissions across theoretical and computational neuroscience. Present your work, spark new collaborations, and compete for the Poster Award. Venue: City St George’s, University of London (Auditorium B200) Date: Tuesday, December 16, 2025 Register / Submit a Poster: [ link ] | | | | | | | | | | | UK Theoretical Neuroscience Workshop Register for the UK Theoretical Neuroscience Workshop, which will be held at City St George’s, University of Lo... | | | We look forward to welcoming you to London for a stimulating day of theory-driven neuroscience! Best regards, Steve Coombes and Dimitris Pinotsis

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Fwd: Professor in Machine Learning and AI, University of Surrey, UK
by roman bauer Aug. 25, 2025

Aug. 25, 2025

Dear all, We are pleased to announce an open professor position at the University of Surrey: https://jobs.surrey.ac.uk/Vacancy.aspx?id=14997 Closing Date: Tuesday 30 September 2025 The School of Computer Science and Electronic Engineering at the University of Surrey is seeking to recruit a Professor in Machine Learning and AI with a focus on Large Machine Learning Models to expand our dynamic team of internationally recognised AI faculty and researchers. This is part of a strategic investment of 6 posts across the School in AI, Cyber Security and Satellite Communications. In conjunction with the postholder, the School will also appoint a Lecturer to support their research direction and strategy. The School is home to two established research centres with expertise in AI and Machine Learning: the Computer Science Research Centre (CSRC) and the Centre for Vision, Speech and Signal Processing (CVSSP). This post is aligned to the Nature Inspired Computer and Engineering group within Computer Science. Surrey has an established international reputation in AI research, 1st in the UK for computer vision and top 5 for AI, computer vision, machine learning, robotics and natural language processing (CSRankings.org) and were 7th in the UK for REF2021 outputs in Computer Science research. Computer Science and CVSSP are at the core of the Surrey Institute for People-Centred AI (PAI), established in 2021 as a pan-University initiative which brings together leading AI research with discipline expertise across health, social, behavioural and engineering sciences, business, law and the creative arts to shape future AI for the benefit of people and society. PAI leads a portfolio of over £100m in grant awards including major research activities in creative industries and healthcare, and two doctoral training programmes with funding for over 100 PhD researchers: the UKRI AI Centre for Doctoral Training in AI for Digital Media Inclusion and the Leverhulme Trust Doctoral Training Network in AI-Enabled Digital Accessibility. The candidate should have wide knowledge of the AI field and ideally experience of working with industry. The candidate must have a proven record of internationally recognised research contributions and leading significant research programmes in AI and Machine Learning. Current research in AI within the School focuses on solving foundational and real-world problems in areas such as Natural Language Processing, Optimisation, Audio and Vision, AI for Health and Medical Applications, Robotics, and Security. Informal inquiries can be directed to the Director of the Computer Science Research Centre, Professor Steve Schneider at *s.schneider(a)surrey.ac.uk* <s.schneider(a)surrey.ac.uk>. The full advert, and application portal, is available at the link above. Our staff and students come from all over the world and we are proud of our friendly and inclusive culture. The University and the Department specifically are committed to building a culturally diverse organisation. Applications are strongly encouraged from female and minority candidates. Best wishes, Roman *Roman Bauer, Ph.D.Senior LecturerHead of the Nature Inspired Computing and Engineering (NICE) Research GroupBioDynaMo SpokespersonComputer Science Research CentreUniversity of SurreyGuildford, UK*

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Postdoc NeuroAI: AI-powered eye-tracking technology and reconstruction of mental images from neuroimaging data
by Roberto Bottini Aug. 22, 2025

Aug. 22, 2025

The BottiniLab <https://scholar.google.com/citations?user=_rV7XZgAAAAJ&hl=en&oi=ao> (University of Trento Italy) invites applications for a postdoctoral researcher position focusing on two projects: 1. Development of high-precision eye-tracking technology for closed-eye conditions using machine learning and deep neural networks (DNNs). 2. Reconstruction of visual imagery (and potentially dreams) from non-invasive neuroimaging techniques (fMRI/MEG), combined with machine learning-based eye-tracking technology. The research offers promising applications in both academic and industrial contexts. This position is for an initial term of 24 months, with the possibility of renewal pending available funding. We seek a postdoctoral fellow with strong interests and a solid background in brain decoding and the application of machine learning methods in neuroscience. The eye-movement project (approximately 60-70% workload) involves training neural networks to map Electrooculography (EoG) signals onto concurrently recorded eye-tracking data. This approach aims to significantly enhance EoG precision and enable accurate eye-tracking even with eyes closed. This project is funded by an ERC Proof of Concept (PoC) grant. The brain decoding project (approximately 30-40% workload) utilizes deep neural networks and diffusion models to decode visual information from neuroimaging data and generate images (pictures, short video) directly from brain activity. Our ultimate aim is to apply this technology to internally generated mental contents, including visual imagery, dreams, and lucid dreaming. This project is conducted in collaboration with Dr. Paolo Rota <https://scholar.google.com/citations?user=K1goGQ4AAAAJ&hl=en&oi=ao> from the University of Trento. Lab Environment: The BottiniLab (http://www.bottinilab.com/) is an international research team comprising members from various regions worldwide. Our dynamic and growing group currently includes 3 postdocs, 4 Ph.D. students, and 2 research assistants. The working language at CIMeC is English, promoting an inclusive and globally connected research environment. Facilities and Resources: The CIMeC hosts state-of-the-art research facilities, including: • Siemens Prisma 3T MRI scanner • Magnetoencephalography (MEG) – newly acquired with exceptional signal quality • Transcranial Magnetic Stimulation combined with EEG (TMS-EEG) • Advanced eye-tracking technology • Human intracranial stereotactic EEG, facilitated through external collaborations with leading neurosurgical centers Life in Trentino offers exceptional natural beauty, cultural vibrancy, and outstanding quality of life, making it an ideal location for both academic and personal growth (https://www.visittrentino.info/en) Applicants must hold a Ph.D. and have substantial experience and interest in artificial neural networks and machine learning. Candidates without prior neuroscience experience but possessing strong computational skills are also encouraged to apply; relevant neuroscience training will be provided. To express your interest, please email the lab manager, Lucia Albasini ( lucia.albasini(a)unitn.it) and cc Roberto Bottini (roberto.bottini(a)unitn.it) Include the following documents: • CV • A brief research statement *Application Deadline: August 29th, 2025* *Starting date: January 2026* -- ****************************************** Roberto Bottini Professor of Cognitive Neuroscience CIMeC - Center for Mind/Brain Sciences University of Trento Via delle Regole 101 38123, Mattarello (TN) Phone: +390461282778 http://www.bottinilab.com ******************************************

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Postdoctoral position in quantifying neurovascular coupling using simultaneous EEG/fNIRS (Boston University)
by Emily Stephen Aug. 20, 2025

Aug. 20, 2025

Hi All, We have an opening for a two-year Postdoctoral Associate to join our team investigating the mechanisms underlying neurovascular coupling and its modulation by attention and neuromodulation, using simultaneous EEG/fNIRS recordings. Our research team spans Boston University (E Stephen, Math/Stats; D Boas, BME; M Esterman, BUMC; and more), and the position is through the Department of Mathematics and Statistics. For more details and application, see: https://www.mathjobs.org/jobs/list/26858 Thanks, Emily Stephen

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Call for Papers NeurIPS 2025 Workshop on Symmetry, Geometry and Neural Representations (NeurReps)
by Simone Azeglio Aug. 20, 2025

Aug. 20, 2025

Hello Everyone, We are pleased to announce the call for papers for the 4th edition of the *NeurReps Workshop on Symmetry and Geometry in Neural Representations <https://www.neurreps.org/>* at NeurIPS 2025 in San Diego (December 6-7). Our workshop brings together researchers from computational neuroscience, deep learning, and applied mathematics to explore geometric principles underlying neural representations in both biological and artificial systems. *Important Information:* - *Submission Deadline:* August 29, 2025 (11:59 PM AoE) - *Author Notification:* September 22, 2025 - *Best Paper Awards (sponsored by NewTheory AI <https://www.newtheory.ai/>):* $500 prize for top submissions in each category: - Neuroscience & Interpretability - Topological & Geometric ML - Symmetry & Equivariance *Submission Tracks:* 1. Proceedings Track (up to 9 pages, published in PMLR) 2. Extended Abstract Track (up to 4 pages) *Topics of Interest:* - Representational geometry in neural data - Theory and methods for learning invariant/equivariant representations - Topological deep learning and topological data analysis - Dynamics of neural representations - Geometric approaches to mechanistic interpretability - Symmetries, dynamical systems, and learning *Invited Speakers:* - SueYeon Chung (NYU & Flatiron) - Surya Ganguli (Stanford) - Max Tegmark (MIT) - Katrin Franke (Enigma Project) - Bastian Rieck (University of Fribourg) - Razvan Pascanu (DeepMind & MILA) For submission instructions and LaTeX templates, please visit: https://www.neurreps.org/call-for-papers Questions? Contact us at organizers(a)neurreps.org Best regards, Simone Azeglio & NeurReps Workshop Organizers

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[Meetings] Call for Participation – Workshop on NeuroDesign in Human–Robot Interaction (IEEE RO-MAN 2025)
by NeuroDesign in HRI Aug. 18, 2025

Aug. 18, 2025

Dear Colleagues, We are pleased to invite you to the 3rd Workshop on NeuroDesign in Human–Robot Interaction, held in conjunction with the IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2025). The event will take place on August 25, 2025 in Eindhoven, the Netherlands, with both onsite and online participation options. ================================================== CALL FOR PARTICIPATION Date: August 25, 2025 Time: 9:00 am – 5:00 pm CEST Location: Eindhoven, Netherlands Format: Hybrid (Onsite & Online via Zoom) Workshop Website: https://neurodesign-in-hri.webflow.io Conference Website: https://www.ro-man2025.org Registration (Zoom link): https://forms.gle/fQMxJtkXb8JEU2WR6 ================================================== WORKSHOP DESCRIPTION The NeuroDesign in Human–Robot Interaction Workshop explores how neuroscience, AI, psychology, wearable robotics, and human-centered design can converge to create the next generation of brain-centered, intuitive, and engaging human–robot systems. NeuroDesign goes beyond performance metrics, focusing on cognitive and physical interactions (cHRI/pHRI) that feel natural to the brain and body—adaptive, ergonomic, and socially meaningful. The program will feature cutting-edge research, live demonstrations, and interdisciplinary discussion on themes such as: Themes include: - Brain–Computer Interfaces (BCI) and Cognitive HRI - Wearable and Assistive Robotics - Neuroergonomics and Human Factors - Embodied AI and Human–AI Co-adaptation - Affective and Social Robotics - Soft Robotics, Exosuits, and Human Augmentation ================================================== DISTINGUISHED SPEAKERS Keynote Speakers: - Jeff Krichmar, University of California, Irvine - Alessandra Sciutti, Italian Institute of Technology - Matteo Bianchi, University of Pisa - Raphaëlle N. Roy, Université de Toulouse - Kyle Yoshida, University of California, Los Angeles - Kai Arulkumaran, Araya Inc. - Kinsey Herrin, Georgia Institute of Technology - Alexis E. Block, Case Western Reserve University Industry Spotlight: - Tharun Iyer, OpenBCI - Ryan Hanson, Wearable Sensing ================================================== STUDENT EXPO & COMPETITION The Student EXPO & Competition is still open for submissions. Undergraduate, Master’s, and PhD students are invited to present their concepts, prototypes, or exploratory studies in HRI, BCI, and neuro-inspired design. Highlights: - Prizes doubled compared to the previous call - All 10 selected finalists will receive awards - Awards include: * Best Innovation in HRI NeuroDesign (up to €500) * Most Popular Project Award (including a full APC waiver for Frontiers in Robotics and AI) * Lucky Draw Prizes (e.g., DIY Neuroscience Kit, Raspberry Pi 5, wearable EMG kits, etc.) * Certificates for all finalists Intent-to-Participate Deadline: August 20, 2025 Intent Form: https://forms.gle/TeywZB55NchRXeWn6 Competition Guidelines: https://neurodesign-in-hri.webflow.io/#competition-guidelines ================================================== JOIN US The NeuroDesign in HRI Workshop provides a unique platform to engage with leading researchers, industry innovators, and student projects shaping the future of human–machine synergy. We look forward to welcoming you in Eindhoven or online. Best regards, Organizing Committee 3rd Workshop on NeuroDesign in Human–Robot Interaction @ IEEE RO-MAN 2025 Email: neurodesign.hri(a)gmail.com Website: https://neurodesign-in-hri.webflow.io

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Postdoctoral Research Fellowship in AI for Low-Cost PET–MRI Imaging at the University of Cape Town, South Africa
by jon.shock＠gmail.com Aug. 17, 2025

Aug. 17, 2025

The Shocklab, picoPET, and SoLow research groups at the University of Cape Town (UCT) invite suitably qualified candidates to apply for a Postdoctoral Research Fellowship in AI for low-cost medical imaging. The fellowship advances research at the intersection of artificial intelligence, image reconstruction, and multimodal neuroimaging, with applications to global health and diagnostic equity in low-resource settings. Call for Applications The successful fellow will be jointly hosted by the Department of Mathematics and Applied Mathematics, the picoPET group in the Department of Physics, and the SoLow group in the Department of Biomedical Engineering, and will conduct research on AI-based PET/MRI reconstruction, PET–MRI fusion, and advanced image analysis techniques. Conditions of Award (General) • Applicants must have achieved a doctoral degree within the past five (5) years. • Applicants may not previously have held full-time, permanent professional or comprehensive academic posts. • The successful incumbent will be required to comply with UCT’s approved policies, procedures, and practices for postdoctoral fellows. • No benefits or allowances are included other than those stated under Value and Tenure. • Postdoctoral fellows may undertake up to 12 hours per week of remunerated employment outside the fellowship for professional development; such remuneration is taxable and processed via UCT HR. Value and Tenure • Value of the fellowship: R500,000 per annum, compliant with the SARS Binding Class Ruling and therefore tax-exempt. • Travel allowance: R50,000 per annum for conferences and collaborations. • Tenure: One (1) year, renewable for up to one (1) additional year (maximum two years). In line with UCT policy, further extension up to five years of enrolment may be considered under exceptional circumstances. • Location: University of Cape Town, South Africa. • Start date: Available immediately or from early 2026. Academic Criteria • PhD in a relevant field (e.g., AI, biomedical engineering, medical imaging, applied mathematics, physics). • Experience with image reconstruction/medical imaging or a strong computer vision background, and deep learning. • Proficiency in Python-based ML frameworks (e.g., JAX, PyTorch). • Strong publication record and ability to work independently. Project Description The fellow will lead research at the interface of AI and low-cost imaging hardware, including: • Design of AI-based PET and MRI reconstruction algorithms optimized for signal recovery, clinical interpretability, and efficiency. • Validation on simulated and experimental data, benchmarking against MLEM, OSEM, and FBP using PSNR/SSIM or related metrics. • Development of PET–MRI image fusion pipelines combining picoPET and SoLow data. • Evaluation of the diagnostic utility of fused images through expert review or pilot clinical studies. • Exploration of advanced techniques (e.g., end-to-end multimodal models, latent-space regularization, attention mechanisms, diffusion-based denoising, super-resolution). The long-term aim is to demonstrate that AI can enable high-quality medical imaging in low-resource settings using affordable hardware. Research Environment • Shocklab, led by Associate Professor Jonathan Shock (Department of Mathematics and Applied Mathematics; Interim Director of the UCT AI Initiative). • picoPET, led by Dr James Keaveney, developing novel low-cost PET systems. • SoLow, led by Professor Ernesta Meintjes, pioneering low-field MRI technology. The fellow will join an interdisciplinary team across Biomedical Engineering, Mathematics and Applied Mathematics, Physics, and the Neuroscience Institute. Computing Resources • Access to the UCT High Performance Computing cluster. Application Requirements Please submit a single PDF including: • Letter of application stating expertise, research interests, and experience. • Curriculum vitae with publication list. • Description of prior research and its relevance to AI-based medical imaging. • Research statement (1–2 pages) outlining ideas for the PET–MRI project. • Certified copies of academic transcripts. • Either names and contact details or letters of reference from at least two academics who have taught, supervised, or worked with the applicant. Applications and enquiries: Associate Professor Jonathan Shock, jonathan.shock(a)uct.ac.za Selection Process Eligible and complete applications will be considered by the hosting departments in consultation with the relevant research groups. Shortlisted candidates may be invited for interview. Key Dates Application deadline: 15 September 2025 Interviews: October 2025 About UCT and Cape Town UCT, founded in 1829, is consistently ranked among Africa’s leading universities, with a diverse community of over 30,000 students and a strong international profile. The main campus lies at the foot of Table Mountain in Cape Town, a city offering a unique blend of natural beauty and urban culture. Living costs in Cape Town are substantially lower than in major US or European cities. See: https://www.numbeo.com/cost-of-living/in/Cape-Town Equity Statement UCT is committed to the pursuit of excellence, diversity and redress in achieving its equity targets in accordance with the Employment Equity Plan of the University and its Employment Equity goals and targets. The Employment Equity Policy is available at Employment Equity Policy. Indemnity The University of Cape Town reserves the right to disqualify ineligible, incomplete and/or inappropriate applications, change the conditions of award, or make no awards at all.

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[OIST Visiting Program] Open Calls for Visiting Scholars in FY2026 and Thematic Programs in FY2027
by Kenji Doya Aug. 17, 2025

Aug. 17, 2025

We are pleased to announce new calls for Visiting Programs at Okinawa Institute of Science and Technology (OIST). OIST is a university with no departments, eliminating artificial barriers between people working in different fields, with students and faculty from all over the world. We are seeking for applicants from interesting researchers from around the world. There are opportunities to spend several months on a beautiful subtropical island in the south of Japan, and focus solely on research. All fields are eligible, as long as the proposed project has overlap or shared interests with researchers at OIST. Invitees will be provided with travel/visa support, on-campus housing, office space in the visiting program area, access to OIST computing resources, ... Inquiries are welcome, please write to tsvp(a)oist.jp<mailto:tsvp@oist.jp> __________ OIST's Visiting Program<https://www.oist.jp/visiting-program> (TSVP) currently has open calls for Visiting Scholars in FY2026 and Thematic Programs in FY2027. Summary of currently open calls: * Thematic Programs<https://www.oist.jp/visiting-program/application-thematic-program> in FY2027: : Group of researchers, 1-2 months, all fields. (short) pre-proposals to be submitted by September 15, 2025. * Visiting Scholars <https://www.oist.jp/visiting-program/application-visiting-scholars> in FY2026: : Visits of 3-12 months, all fields. Deadline: September 15, 2025. * Experimental Visiting Scholars<https://www.oist.jp/visiting-program/application-exp-scholars> in FY2026 (only if lab access is required) * Domestic Visitors<https://www.oist.jp/visiting-program/application-domestic> in FY2025: Flexible duration, all fields, Rolling Deadline. Details: https://www.oist.jp/visiting-program/application and in the below overview image [call for tsvp visiting program2025 banner] [Visiting Program Call for Pre-Proposals for Thematic Programs banner] Overview of all OIST's Visiting Programs [8tgbpZzgdD0Fh3az.png]<https://www.oist.jp/visiting-program/application> ---- 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://groups.oist.jp/ncu

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Deep Math 2025 call for papers
by Ahmed El Hady Aug. 17, 2025

Aug. 17, 2025

DeepMath 2025: Call for Abstracts We are pleased to announce *DeepMath 2025*: the 7th installment of the Conference for the Mathematical Theory of Deep Learning (www.deepmath-conference.com) This year DeepMath will be held at the *University of Michigan in Ann Arbor Michigan*. We have a stellar lineup of invited speakers including: * Laura Balzano (University of Michigan) * Rama Chellappa (Johns Hopkins University) * Jelena Diakonikolas (University of Wisconsin) * Surbhi Goel (University of Pennsylvania) * Thomas Icard (Stanford University) * Robert Nowak (University of Wisconsin) We are inviting researchers to present a poster during our poster session. Please submit your work no later than *August 31, 2025* on OpenReview using the following link: https://openreview.net/group?id=deepmath-conference.com/DeepMath/2025/Confe… <https://openreview.net/group?id=deepmath-conference.com/DeepMath/2025/Confe…> DeepMath is a highly interdisciplinary conference focused on understanding fundamental theory driving the success of Deep Learning. A principal goal of this conference is to bring together theoreticians working on deep learning from various disciplines and perspectives. We, therefore, encourage submissions from researchers from diverse disciplines including but not limited to * Statistics * Physics * Computer science * Neuroscience * Mathematics * Psychology * Engineering Topics may address any area of deep learning research such as: * Expressivity * Generalization * Optimization * Representations * Computation * Network architectures * Recurrent networks * Emergent abilities like in-context learning, reasoning To complement the many conferences with applications and theory the focus for DeepMath will be exclusively on the theoretical and mechanistic understanding of the underlying properties of neural networks. Abstracts will not be made public (i.e., no official proceedings), and will be doubly-blind reviewed and selected for quality. All poster submissions should be properly anonymized in order to allow for blind refereeing. *Submissions should be no more than 1 page* although a second page may be used for references. Authors should submit a pdf file prepared using the *Latex style file available **here* <https://storage.googleapis.com/wzukusers/user-23451351/documents/5c90d93c12…>and should adopt all formatting, subject headings, font sizes, etc. defined therein. Submissions that fail to meet the format requirements will not be reviewed. The first author listed on the abstract is considered to be the presenting author. Each presenting author may submit only one abstract.

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To Spike or Not to Spike: A neural network model of how neurons communicate
by Grossberg, Stephen Aug. 15, 2025

Aug. 15, 2025

Dear Comp-Neuro colleagues, I am writing to announce the publication of my new article that describes psychological and neurobiological properties of neural network models that are composed of spiking neurons. The article is: Grossberg, S. (2025). Spiking neural network models of neurons and networks for perception, learning, cognition, and navigation: A review. Brain Sciences, 15(8), 870. https://www.mdpi.com/2076-3425/15/8/870 The Abstract of the article summarizes some of its high points: This article reviews and synthesizes highlights of the history of neural models of rate-based and spiking neural networks. It explains that theoretical and experimental results about how all rate-based neural network models, whose cells obey the membrane equations of neurophysiology, also called shunting laws, can be converted into spiking neural network models without any loss of explanatory power, and often with gains in explanatory power. These results are relevant to all the main brain processes, including individual neurons and networks for perception, learning, cognition, and navigation. The results build upon the hypothesis that the functional units of brain processes are spatial patterns of cell activities, or short-term-memory (STM) traces, and spatial patterns of learned adaptive weights, or long-term-memory (LTM) patterns. It is also shown how spatial patterns that are learned by spiking neurons during childhood can be preserved even as the child’s brain grows and deforms while it develops towards adulthood. Indeed, this property of spatiotemporal self-similarity may be one of the most powerful properties that individual spiking neurons contribute to the development of large-scale neural networks and architectures throughout life. Get Outlook for Mac <https://aka.ms/GetOutlookForMac>

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Two tenure-track positions at University of Oregon
by James Murray Aug. 15, 2025

Aug. 15, 2025

Dear colleagues, The Department of Bioengineering at the University of Oregon’s Knight Campus for Accelerating Scientific Impact invites applications for two complementary tenure-track faculty positions in computational and experimental neuroengineering: 1. Computational & Data-Science Neuroengineering Examples include but are not limited to the following: neural signal processing & data analytics for feature extraction, decoding, and adaptive control, high-throughput behavior tracking and closed-loop perturbations (e.g. pose estimation, unsupervised behavior clustering, neural conditional feedback), neuromorphic computing & AI hardware or brain-inspired AI algorithm development, spatial analysis of multi-omics data. 2. Experimental & Translational Neuroengineering Examples include but are not limited to the following: clean-room micro- and nanofabrication methods for neural interfaces, neurophotonics methods for brain stimulation, recording, and imaging, pre-clinical models in bioelectric medicine or brain injury repair, brain organoid technology development, and disease models. We are particularly interested in applicants with a demonstrated track record of translating discoveries into real-world impact, including through entrepreneurial activities; a demonstrated commitment to mentoring and advancing inclusive participation in scientific training and career pathways; and success in pedagogical environments that employ evidence-based teaching practices. All ranks (Assistant, Associate, or Full Professor) with a track record of research excellence commensurate with their seniority will be considered. Further details and application instructions can be found here: https://careers.uoregon.edu/en-us/job/535571/assistantassociatefull-profess… Please pass along this announcement to any potential candidates you know who might be interested. Any inquiries regarding this search may be sent to jmurray9(a)uoregon.edu. -James -- James M Murray Assistant Professor Depts. of Biology and Mathematics and Institute of Neuroscience University of Oregon murraylab.uoregon.edu<https://murraylab.uoregon.edu>

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Super early bird tickets now available—AE Global Summit on Open Problems for AI, London (Oct 28-30th, 2025)
by Battleday, Ruairidh Aug. 15, 2025

Aug. 15, 2025

Super-early-bird registration is now open for the AE Global Summit on Open Problems for AI, taking place in London from 28–30th October 2025. Over three days, we will bring together more than 1,000 researchers, policymakers, engineers, entrepreneurs, and artists to discuss the most important open problems in AI, and how we might solve them. Programme highlights Day 1: New Algorithmic Breakthroughs and AI Infrastructure Featuring Dr David Silver <https://davidstarsilver.wordpress.com/>and Dr Raia Hadsell (DeepMind), <https://raiahadsell.com/index.html> Prof Jakob Foerster (Meta & Oxford), <https://www.jakobfoerster.com/> Dr Laura Gilbert (Tony Blair Institute) <https://www.linkedin.com/in/dr-laura-gilbert/>, Prof Emine Yilmaz (UCL) <https://www.linkedin.com/in/emine-yilmaz-978b937/>, and senior research leaders from NVIDIA <https://www.nvidia.com/en-gb/>, Thomson Reuters <https://www.thomsonreuters.com/en>, Bertelsmann <https://www.bertelsmann.com/#st-1>, Wayve <https://wayve.ai/>, and others. Day 2: AI Safety, and AI in Enterprise & Society Speakers include Prof Chris Summerfield (AISI & Oxford) <https://www.psy.ox.ac.uk/people/christopher-summerfield>, Dr Samuel Bell (Meta) <https://samueljamesbell.com/>, Dr Artemis Seaford (ElevenLabs <https://www.linkedin.com/in/artemisseaford/>), Dr Marius Hobbhahn (Apollo Research) <https://www.linkedin.com/in/marius-hobbhahn-128927175/?originalSubdomain=uk>, and leaders from ADVAI <https://www.advai.co.uk/>, Academy, Tony Blair Institute <https://institute.global/>, and Bernstein Insights <https://www.bernstein.com/our-insights/insights.html>. Day 3: AI Entrepreneurship & Application With Alexander Straub (Straub Ventures) <https://www.linkedin.com/in/alexanderstraub/?originalSubdomain=uk>, Dr Trias Gkikopoulos (Innovate UK) <https://www.linkedin.com/in/triantafyllosgkikopoulos/?original_referer=http…>, Erwann Le Lannou (XTX Markets) <https://www.linkedin.com/in/erwann-le-lannou/?originalSubdomain=uk>, Prof Rose Luckin (UCL & Educate Ventures) <https://www.linkedin.com/in/rose-luckin-5245003/?authType=&authToken=&trk=m…>, Dr Irina Jurenka (DeepMind) <https://www.linkedin.com/in/irina-jurenka-74455235/?originalSubdomain=uk>, and contributors from Google Health <https://health.google/>, Raspberry Pi Foundation <https://www.raspberrypi.org/>, and Newton’s Tree. <https://www.newtonstree.ai/> The conference will feature keynote talks, panels, breakout rooms, and an expo hall, alongside opportunities for informal discussion with colleagues from institutions including Oxford <https://www.ox.ac.uk/>, Harvard <https://www.harvard.edu/>, MIT <https://www.mit.edu/>, UCL <https://www.ucl.ac.uk/>, DeepMind <https://deepmind.google/>, Meta <https://www.meta.com/en-gb/about/?srsltid=AfmBOooyD76gNdU_z8E_JulzOLafvKow3…>, Microsoft <https://www.microsoft.com/en-gb/>, and NVIDIA <https://www.nvidia.com/en-gb/>. We’d love to see some of you there! Register via the link below: http://bit.ly/4ozMsdY -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Asst. Prof in AI @ Göttingen, Germany
by Ecker, Alexander Aug. 15, 2025

Aug. 15, 2025

We have an opening for a tenure track assistant professor position (W1 t.t. W2) in AI in our CS dept @uni-goettingen.de, Germany: https://uni-goettingen.de/en/697924.html Application deadline: Sept 19 It's a deliberately broad call. Areas of interest include: RL; VR, AR & digital avatars; Embodied AI, NLP; HCI; Causal models; Time series models; Multimodal data integration; Image analysis and CV; Computational and simulation science; Visualization; HPC and Energy-efficient AI. The position is embedded in the recently founded Lower Saxony Center for AI and Causal Methods in Medicine (CAIMed; https://caimed.de/en/) as well as the Campus Institute Data Science (CIDAS; https://www.uni-goettingen.de/en/690135.html) Göttingen. The Göttingen Campus is highly collaborative, has a great variety of data-intensive research in natural and life sciences, social science and humanities, including top-notch places like MPIs (MPI for Multidisciplinary Sciences, MPI for Solar Systems Research, MPI for Dynamics and Self-Organization), the German Primate Center (DPZ) and the German Aerospace Center (DLR). Göttingen is located in the center of Germany and Europe, in a region known for its green hills, lovely small towns with half-timbered houses and the Harz Mountains. Well-connected through motorways and high-speed trains. It is a small university town (around 120k people) and very family friendly. Everything within the city can be reached by bike within 15 min. Touch base with me if you have any questions. I’m happy to chat!

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Assistant Professor position in human cognitive neuroscience at Princeton
by Kenneth Norman Aug. 14, 2025

Aug. 14, 2025

The Department of Psychology and the Princeton Neuroscience Institute at Princeton University invite applications for a tenure-track Assistant Professor position in the area of human cognitive neuroscience to be hired jointly in Neuroscience and Psychology. We seek a faculty member with a demonstrated record of excellence in research and a strong commitment to teaching and mentoring. Relevant research approaches include, but are not limited to, computational, clinical, and neuroimaging research. Applicants are expected to hold a Ph.D. in Psychology, Neuroscience, Computer Science, or a related discipline. The successful applicant will be expected to teach both undergraduate and graduate courses in Psychology and Neuroscience, and to establish an active, internationally-recognized research program. To support their research, the successful applicant will have access to the Scully Center for the Neuroscience of Mind and Behavior, which operates a suite of facilities to study the human brain including two 3T Siemens MR scanners, OPM-MEG, EEG, eye tracking, and TMS laboratories. They will also have access to Princeton's world-class computational infrastructure, including GPU systems capable of running large-scale AI workflows. Applicants should submit online at https://www.princeton.edu/acad-positions/position/39681 and include a cover letter, curriculum vitae, research statement, teaching statement, and contact information for three references. Review of applications will begin on October 15, 2025. Expected Salary Range: $135,000 - $145,000 The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link <https://hr.princeton.edu/benefits-overview-prospective-candidates> for more information.

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Göttingen Cognition Forum on "Curiosity and Interaction" - Oct 13-15, 2025
by Priesemann, Viola Aug. 13, 2025

Aug. 13, 2025

Dear colleagues, hereby, we would kindly like to draw your attention to the upcoming Göttingen Cognition Forum<https://events.gwdg.de/event/1099/> (Oct 13-15, 2025). It is organized jointly by the CRC 1690 Cognition of Interaction, the RTG Curiosity, the Bernstein Center for Computational Neuroscience, and the EKFZ. We kindly invite you to join us in Göttingen for this interactive workshop! The abstract submission deadline (for posters as well as for presentations) to the satellite workshops has been extended to August 17. Contributions can be submitted here<https://events.gwdg.de/event/1099/abstracts/>. Plenary speakers are Jacqueline Gottlieb Bahador Bahrami Judith Burkart Steve Chang Nachum Ulanovsky and Agostina Palmigiano Participation is free of charge. Please don’t hesitate to contact me in case of questions. Information are available on: https://events.gwdg.de/event/1099/ _____________________ Prof. Dr. Viola Priesemann Max Planck Institute for Dynamics and Self-Organization & Georg-August-University Göttingen Am Fassberg 17, 37077 Göttingen viola.priesemann(a)ds.mpg.de

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ICONIP2025 Early Registration Open till August 15
by Kenji Doya Aug. 8, 2025

Aug. 8, 2025

We are pleased to announce the opening of early registration for ICONIP 2025 till August 15 (AoE). https://iconip2025.apnns.org/registration/ This year ICONIP received more than 1,000 submissions and selected about 400 papers for single-track oral, spotlight, and poster presentations, 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: Machine Learning for Robots: From Perception to Action: Asako Kanezaki Closing the gap: From Digital AI to Physically grounded intelligence: Yew Soon Ong Development of Higher Cognitive Mechanisms: Insights From Neurorobotics: Jun Tani Tutorials: Mathematical Theories of Deep Foundation Models: Taiji Suzuki Free-energy Principle for AI Researchers and Neuroscientists: Takuya Isomura AI for Human Neuroscience Research: Saori Tanaka, Okito Yamashita, Yu Takagi Improved Explainability with Spiking Neural Networks: Maryam Doborjeh, Nikola Kasabov Methodology for Designing Brain-Like AI Software: Yoshimasa Tawatsuji, Hiroshi Yamakawa, Yudai Suzuki 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 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://groups.oist.jp/ncu

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Postdoc position in the Unit on the Neural Computations in Learning, NIMH
by Langdon, Angela (NIH/NIMH) [E] Aug. 7, 2025

Aug. 7, 2025

We have an opening for a postdoctoral fellow to join my lab at the National Institute of Mental Health at the NIH campus in Bethesda, MD. Research in the lab is focused on the computational neuroscience of reward prediction and learning. Broadly, we study how timing, inference processes and goal selection modulate learning in reward-guided tasks in animals and humans, and how these processes are instantiated in neural activity across the reward learning circuits of the brain. Our goal is to understand how reward learning is altered in compulsive behaviors, addiction, and motivational deficits in disorders of mental health. We are looking for a postdoc who is interested in developing approaches from reinforcement learning, dynamical systems theory, and Bayesian inference to understand the online regulation of reward prediction and learning in neural activity and behavior. We work with a broad network of collaborating labs that span rodent, NHP and human studies, and the ideal candidate will be comfortable working in a highly interdisciplinary environment to pursue novel and translational insights into the neural basis of reward learning. This opening is an excellent opportunity for a computational neuroscientist who wishes to apply theoretical ideas to understand empirical data, with the opportunity to collaborate on novel paradigms to test computational models of reward-guided behavior and reward learning in the brain. An overview of research training at NIH can be found here: https://www.training.nih.gov/research-training/ Interested candidates should have strong quantitative and programming skills, a background in neuroscience, psychology, cognitive science or relevant quantitative discipline and a record of scientific contributions in an area relevant to research in the lab. Interested candidates should send a brief research statement (1-2 paragraphs) and a cv to Dr Angela Langdon (angela dot langdon at nih dot gov). Informal enquiries are welcome!

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Announcing SNUFA 2025: Nov 5–6 (online) – Abstract submission and registration now open!
by Friedemann Zenke Aug. 6, 2025

Aug. 6, 2025

We are happy to announce SNUFA 2025, taking place 5–6 November 2025 (online)—your friendly online focus meeting on spiking neural networks that compute. Abstract submission and registration are now open! See https://snufa.net/2025 for details. This year's invited speakers are Elisabetta Chicca (University of Groningen), Jason Eshraghian (UC Santa Cruz), Tomoki Fukai (OIST), and Chengcheng Huang (University of Pittsburgh). Like every year, the workshop brings together researchers in computational neuroscience, machine learning, and neuromorphic engineering to present their work and discuss how to translate these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We aim to have a manageable number of talks with ample discussion time. Attendance is free, but registration is required. Abstract submission deadline: September 26, 2025 (anywhere on earth) SNUFA 2025 is brought to you by David Kappel, Julijana Gjorgjieva, Dan Goodman, and Friedemann Zenke --- https://snufa.net/2025 Powered by www.world-wide.org/Neuro/

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⏳ 1 Month Left – Submit at COMPLEX NETWORKS 2025, Binghamton NY, USA
by Hocine Cherifi Aug. 6, 2025

Aug. 6, 2025

Dear Researchers, Only one month remains to submit your work to *COMPLEX NETWORKS 2025* <https://complexnetworks.org/> — the leading international forum for complexity science, data science, and computational social science. *We welcome:* ✅ *Full Papers* (up to 12 pages, unpublished) – included in *Springer *SCI <https://link.springer.com/series/7092/books> proceedings ✅ *Extended Abstracts* (up to 4 pages) – included in the *Book of Abstracts* (ISBN) Selected papers will be invited to special issues in top journals, including *PLOS Complex Systems*, *Applied Network Science*, *Entropy*, and more. *Why participate?* · *Present* your work to an engaged, international audience · *Publish* in high-visibility outlets · *Connect* with leading scholars and practitioners from around the world 📅 *Submission Deadline:* September 2, 2025 📍 *Conference:* December 9–11, 2025 🎤 *Keynotes:* Luis Bettencourt, Michelle Girvan, Kimberly Glass, Mark Newman, David Stark 🎓 *Tutorials:* Brennan Klein, Yian Yin (December 8) 📄 *Journal Opportunities:* PLOS One, PLOS Complex Systems, Applied Network Science, Entropy, and more Don’t miss this opportunity to shape the future of complexity research. 👉 *Submit today:* https://complexnetworks.org/submission/ More info : https://complexnetworks.org/ We look forward to your contribution, 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/>

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Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 21 August
by Eugenio Piasini Aug. 5, 2025

Aug. 5, 2025

Up to 3 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2025. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience group (https://phdcns.sissa.it/) hosts 6 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language, tactile perception and learning, and neural computation. Our research is highly interdisciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open. The application deadline for the fall admission round is 21 August 2025. Please apply here<https://pica.cineca.it/sissa/phd-cns-02-2025/>, and see the admission procedure page<https://phdcns.sissa.it/admission-procedure> for more information. Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries.

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Master's program in Neurorobotics at Chemnitz University of Technology
by Fred Hamker Aug. 4, 2025

Aug. 4, 2025

I would like to draw your attention to our recently revised Master's program in Neurorobotics at Chemnitz University of Technology (Germany). The program is hosted within the Department of Computer Science and integrates robotics with fields such as neural networks, computational neuroscience and reinforcement learning. It is open to computer scientists, but also to students with a bachelor's degree in related disciplines, such as physics, engineering and psychology with sufficient background in computer science. The official language is German, but an English speaking track is possible as most courses are taught in English. Language requirements are English Level B2 and German Level B2. Details can be found here: https://www.tu-chemnitz.de/zpa/sopo/88/BFB.php International students who are interested in studying in Chemnitz find background information here: https://www.tu-chemnitz.de/international/incoming/index.php.en Questions from interested students can be directed to Prof. Dr. Fred Hamker fred.hamker(a)informatik.tu.chemnitz.de <mailto:fred.hamker@informatik.tu.chemnitz.de> Chemnitz University of Technology is an official node of the Bernstein Network Computational Neuroscience (https://bernstein-network.de/netzwerk/bernstein-nodes/bernstein-node-chemni…) and associated partner of the Robotics Institute Germany (https://robotics-institute-germany.de <https://robotics-institute-germany.de/>). Chemnitz is the third-largest city of the state of Saxony, next to Leipzig and Dresden, with a rich tradition of music and culture. Chemnitz is known for its affordable costs of living, offers a good quality of life with a mix of urban and green spaces and is close to scenic mountains. -------------------- Prof. Dr. Fred H Hamker Artificial Intelligence Department of Computer Science Chemnitz University of Technology Strasse der Nationen 62 D - 09107 Chemnitz Germany Tel: +49 (0)371 531-37875 Fax: +49 (0)371 531-25739 email: fred.hamker(a)informatik.tu-chemnitz.de www: http://www.tu-chemnitz.de/informatik/KI/

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PhD position in large-scale brain modeling and simulation
by Sacha van Albada Aug. 4, 2025

Aug. 4, 2025

A PhD position on the large-scale spiking network simulation of the human cerebral cortex is available in the group of Prof. Sacha van Albada at the Institute for Advanced Simulation (IAS-6), Jülich Research Center, Germany (https://www.fz-juelich.de/en/ias/ias-6/forschung/theoretical-neuroanatomy) The position is offered in the context of the project Supercomputing and Modeling for the Human Brain (SMHB), a collaboration between the IAS-6, the Jülich Supercomputing Center, and the Institute of Neuroscience and Medicine (INM-1) (https://www.fz-juelich.de/en/smhb) We will use data from a multimodal human brain atlas (https://www.ebrains.eu/tools/human-brain-atlas) to develop a refined version of the human cortex model of Pronold et al. (https://academic.oup.com/cercor/article/34/10/bhae409/7826014) The candidate should have a background in physics, mathematics, computer science, biology (or specifically neuroscience), or engineering. Excellent quantitative and analytical skills are highly valued, as are programming and writing skills. We offer a structured program guiding doctoral researchers through the PhD work and plenty of opportunities for local and international collaboration. The researchers will be embedded in a vibrant research institute (https://www.csn.fz-juelich.de<https://www.csn.fz-juelich.de/>). Links also exist to the University of Cologne, so that candidates can gain teaching/tutoring experience. To apply, please send a motivation letter, CV, and university transcripts and certificates to s.van.albada(a)fz-juelich.de<mailto:s.van.albada@fz-juelich.de> and to our scientific coordinator Dr. Martina Reske (m.reske(a)fz-juelich.de<mailto:m.reske@fz-juelich.de>). -- Prof. Sacha Jennifer van Albada Institute for Advanced Simulation (IAS-6) Computational and Systems Neuroscience Jülich Research Centre Jülich, Germany Tel. +49 2461 61-96808 Mobile +49 170 2352748 Fax +49 2461 61-9460 Computational Neuroanatomy Institute of Zoology University of Cologne Cologne, Germany Tel. +49-221-470-3829 Fax +49-221-470-4889 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellv. Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoc/Research Fellow Position in Electrophysiology/Bionics
by Yan Wong Aug. 4, 2025

Aug. 4, 2025

Dear colleagues, I’m seeking a postdoctoral research fellow to join my research group at Monash University, Melbourne Australia. The postdoc will be working on a project examining different stimulation techniques for a cortical vision prosthesis. Electrophysiology and computational skills are highly desirable for the role.. https://careers.pageuppeople.com/513/cw/en/job/681737/research-fellow-neuro… Regards, Yan Tat Wong Professor and Head Electrical and Computer Systems Engineering Department of Electrical and Computer Systems Engineering Monash University www.monash.edu/neurobionics T: +61 3 9905 1935

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Remote Machine Learning Engineer/AI researcher position at Tether Evo on NeuroAI
by Matteo Ferrante July 31, 2025

July 31, 2025

We are looking for a *Machine Learning Engineer* to join our team at the forefront of *open research in NeuroAI*. Our work explores the intersection of artificial intelligence and brain-computer interfaces (BCIs), using both invasive and non-invasive neural recordings. As part of Tether Evo, you will contribute to high-impact, open-source projects focused on *encoding* and *decoding brain activity* leveraging AI. Our mission is to advance scientific understanding while building real-world applications for neural interfaces, guided by transparency, accessibility, and collaboration. *Highlights:* - Work on cutting-edge NeuroAI research, with a focus on open access science, reproducibility and the aim of advancing our comprehension of the brain. You will do research on brain representations of external world such as language, imagery, vision and motor control, and how to encode or decode them to build the next generation of BCI systems. - Collaborate with leading institutions, including *BlackRock Neurotech* and top *academic partners* - Competitive compensation and a fully *remote* working environment - Opportunities to publish, contribute to open-source tools, attend conferences and shape the future of brain-tech innovation *What We’re Looking For:* - 3+ years of experience in ML research or industry, PhD in Physics, Computer Science, Neuroscience or related quantitative fields are highly evaluated. - Strong proficiency in Python and PyTorch - Background in Artificial Intelligence, representation learning and generative models such as LLMs and diffusion models. - Bonus: research experience with neural data such as fMRI, EEG, MEG, ECoG - Excellent scientific communication and collaboration skills, publications in top-tier scientific journals or AI/neuroscience conferences are welcome. If you’re passionate about advancing neuroscience and AI through open, ethical, and impactful research, we’d love to hear from you. Position is fully remote and applications are welcome from all over the world. If interested, please have an initial contact with me at matteo.ferrante(a)tether.io sending a CV and a short presentation letter with *Machine Learning Engineer application as mail subject.* If there is a strong match, the candidate will be welcome to start with the hiring and selection process. Matteo Ferrante Team Lead of Tether Evo - BCI

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Funded PhD Position - Using cognitive computational models to improve human-robot collaboration
by Milan Andrejevic July 29, 2025

July 29, 2025

Psychology Discipline and Robotics Institute at the University of Technology Sydney in Australia are offering a fully funded PhD position for interdisciplinary research into using computational models to improve human-robot collaboration. Project description Collaboration between humans and robots is rapidly increasing, creating a need for integrative work between engineering and psychology to improve robots' collaborative skills. One promising approach is to equip robots with cutting-edge cognitive computational models of their human collaborators' decision-making processes. These models would enable robots to account for latent factors guiding human decisions (e.g., beliefs, inferences, preferences, risk, confidence, caution), during collaborative tasks. This could enhance the efficiency of robots' observational learning and allow them to take actions that support and optimise human decision-making, ultimately improving teamwork and productivity. The project will be supervised by Dr Milan Andrejevic, a Lecturer in Psychology, and Dikai Liu, a Distinguished Professor in Robotics from the University of Technology Sydney, and entail a collaboration with Prof. Jakob Hohwy, a Professor in Philosophy from Monash University. Candidate requirements: * Honours or Masters degree in: Psychology, Cognitive Science, Neuroscience, and a good grasp of statistics OR Engineering, Computer Science OR other related and relevant discipline and a strong interest in psychological science; * Willingness to learn computational cognitive modelling approaches; * Excellent academic writing skills; * Experience with, and/or willingness to learn coding and using statistical software (R, Matlab, Python, and/or alike); * Demonstrated work ethic. Also desirable: * A record of contributing to academic publications; * Experience with mathematical / computational modelling If you would like to apply for this project, please send your CV and Research Proposal to Milan Andrejevic and Dikai Liu. Links: PhD position description<https://sites.google.com/uts.edu.au/coghumrobophdadvert/project-description…> University of Technology Sydney<https://www.uts.edu.au/> Psychology Discipline<https://www.uts.edu.au/about/faculties/graduate-school-of-health/clinical-p…> Robotics Institute<https://www.uts.edu.au/research/robotics-institute> Dr. Milan Andrejevic<https://profiles.uts.edu.au/Milan.Andrejevic> Dist. Prof. Dikai Liu<https://profiles.uts.edu.au/Dikai.Liu> - Dr. Milan Andrejević (he/him) Lecturer Psychology | Graduate School of Health University of Technology Sydney +61 2 9514 4126 Level 10, 100 Broadway, Chippendale NSW 2008 I choose to work flexibly and send emails outside regular office hours as it suits me. I do not expect that you will read my emails outside your regular hours. I acknowledge the Gadigal People of the Eora Nation upon whose ancestral lands we work and gather at UTS, and their traditional custodianship over knowledge for this land. I pay my respects to their Elders past and present. UTS CRICOS Provider Code: 00099F DISCLAIMER: This email message and any accompanying attachments may contain confidential information. If you are not the intended recipient, do not read, use, disseminate, distribute or copy this message or attachments. If you have received this message in error, please notify the sender immediately and delete this message. Any views expressed in this message are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of the University of Technology Sydney. Before opening any attachments, please check them for viruses and defects. Think. Green. Do. Please consider the environment before printing this email.

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Postdoctoral position in Theoretical Biophysics ( Deadline Sept 15th )
by Ahmed El Hady July 29, 2025

July 29, 2025

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in preferably in physics but other quantitative backgrounds will be considered. The candidate should show enthusiasm for tackling theoretical foundations of biological phenomena and creativity to address difficult research questions. The researcher will be based in the Integrative Biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The Integrative Biophysics group <https://www.exc.uni-konstanz.de/collective-behaviour/about-us/people/integr…> at the CASCB led by Dr. Ahmed El Hady. The group focuses on a diverse set of theoretical biophysics problems. The PostDoc project can potentially address the following: 1. How can one couple spatial movement dynamics to temporal decision-making process in an analytically tractable model, accounting for environments with different statistical structures? 2. Can social learning in a foraging context be regarded as a statistical learning process? 3. What are the effects of extracellular matrix characteristics and membrane biophysical properties on electromechanical wave propagation in neurons? 4. What are the collective neuronal modes one can derive from coupling electrically driven mechanical waves in single neurons? *Relevant Publications:* Blum Moyse, L., & El Hady, A. (2024). Social patch foraging theory in an egalitarian group. https://doi.org/10.1103/mqxr-1nyv Kilpatrick, Z. P., Davidson, J. D., & El Hady, A. E. (2020). Normative theory of patch foraging decisions. https://doi.org/10.1101/2020.04.22.055558. El Hady, A., Machta, B. Mechanical surface waves accompany action potential propagation. Nat Commun 6, 6697 (2015). https://www.nature.com/articles/ncomms7697 The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/01/2026 and deadline for application is 15/10/2025. For more information and application , please visit the website: https://stellen.uni-konstanz.de/jobposting/81733e4ecac1d2fc0a665bdc65478a78… For questions about the position , please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de or ahady(a)ab.mpg.de 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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available PhD position in the application of machine learning in cognitive and neurosciences
by Shahidi, Neda July 27, 2025

July 27, 2025

Dear colleagues, I have a new PhD position in my group. We seek candidates who are interested in studying the application of machine learning tools in cognitive and neurosciences. we seek to address key gaps in our understanding of the role of gaze-based communication in value-based decision-making in primates, specifically rhesus macaques, red-fronted Lemurs, and humans, using naturalistic, interactive scenarios. The goal is to understand how primates attribute perception to others do, based on their gazes and postures. Our approach to dealing with complex brain and behavior data from these scenarios is to use state-of-the-art machine learning tools to extract interpretable latent dynamics. The research work will be conducted at the German Primate Center; enrollment is possible in one of the PhD programs at the University of Göttingen (see www.gauss.uni-goettingen.de<http://www.gauss.uni-goettingen.de>). The project is highly collaborative and will benefit from working with experts in computer and data sciences, behavioral ecology, and psychology in Göttingen and across Germany. The position will be funded for 3 years from DFG (pending final approval). The salary is in accordance with the German public service salary scale (65 % E13 TV-L) Applicants are required to have § Master's Degree in data sciences, neurosciences, engineering, biomedical sciences, physics, or related fields. § Very good English skills, including scientific writing § Advanced data analysis skills using Python § Basic knowledge of animal cognition Please submit your written application under the keyword "ECG PhD position" with a CV and a motivation letter (less than 300 words) addressin a) how pursuing a PhD on the topic of animal cognition will benefit your career? and b) which skills and knowledge, specifically from applications of machine learning to real-world and experimental data, will you bring to advance this project? Send your application by August 30th, 2025, to bewerbung(a)dpz.eu<mailto:bewerbung@dpz.eu> We welcome diversity and therefore welcome applications from qualified people, regardless of their ethnic, cultural and social background, gender, religion, ideology, disability, age or sexual identity. Registered disabled applicants with equal aptitude and qualifications will be given preferential consideration. We kindly ask you to indicate a disability in your application. Best Regards Neda

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Two funded Ph.D. Positions at the University of South Carolina
by Christian O'Reilly July 25, 2025

July 25, 2025

The Laboratory for Integrative Neuroscience Analyses (LINA) at the University of South Carolina is seeking to fill two open Ph.D. positions. These positions will be fully funded for four years by a Graduate Research Assistantship (GRA) on an NSF project titled “Multiscale Model-Driven Analysis of the Brain and its Disorders”. The preferred starting date is on January 5h, 2026. If interested, please read the full description of the position and instructions on how to apply here: https://tinyurl.com/5n7uhwry Christian O'Reilly, Ph.D., M.Sc., B.Ing. Assistant Professor, Department of Computer Science and Engineering Laboratory for Integrative Neuroscience Analysis Artificial Intelligence Institute Carolina Autism and Neurodevelopment Research Center Institute for Mind and Brain

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Call for Abstracts: SMILES 2025 Workshop @ICDL (Prague, Sept 16)
by Xavier Hinaut July 23, 2025

July 23, 2025

Dear colleagues, We are pleased to announce the SMILES 2025 Workshop (Sensorimotor Interaction, Language and Embodiment of Symbols), which will take place on Tuesday, September 16, 2025, as part of the ICDL 2025 Conference in Prague, Czech Republic. Workshop website: https://sites.google.com/view/smiles-workshop/ ICDL 2025 conference site: https://icdl2025.fel.cvut.cz/ 📢 Call for Abstracts We invite contributions exploring the connection between sensorimotor interaction, symbolic communication, and language emergence. Interdisciplinary approaches are welcome. Deadline: August 31, 2025 Length: ½ page to 2 pages Format: IEEE conference template https://www.ieee.org/conferences/publishing/templates.html Submission email: smiles.conf(a)gmail.com Please indicate if you plan to present onsite or remotely. 🧠 Workshop Focus SMILES addresses the gap between low-level sensorimotor interaction and high-level symbolic communication, bringing together researchers working on: Sensorimotor learning and developmental robotics Emergent communication in multi-agent systems Gesture and sequence chunking (motor, vocal, multimodal) Symbol grounding and symbol emergence Compositional and hierarchical representations for action and language Language acquisition and processing in humans and machines Temporal dynamics in neural network models Enaction, perception-action loops, and active sensing Animal communication and comparative models Organizers: Xavier Hinaut, Laura Cohen, Alex Pitti Contact: smiles.conf(a)gmail.com Invited speakers: To be announced soon Workshop date: September 16, 2025, 2:00 PM – 6:00 PM Location: Prague, Czech Republic We look forward to your contributions! Best regards, The SMILES 2025 Organizing Committee Xavier Hinaut Inria Research Scientist — News! —> Next Hackathon on AI, Robots and CogSci: « Hack1robo », October 2025, Bordeaux, France Register on mailing-list, linked-in or instagram to stay tuned! https://sites.google.com/view/hack1robo/accueil https://www.instagram.com/hack1robo/ — www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- — Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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[JOBS] Post-doc "ML/AI-based intelligent process monitoring" at the University of Groningen, NL - deadline Sept 15, 2025
by Kerstin Bunte July 23, 2025

July 23, 2025

Fully funded Postdoctoral researcher position for ML/AI-based intelligent process monitoring https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Closing date = 15-09-2025 We offer a postdoctoral researcher position in cooperation with Philips and the University of Groningen, The Netherlands. The position is funded by the PPS-I Flex High Tech project “ManufActuring contRol Sonicare (MARS)“. Due to the complexity of the assembly process anomalies can occur, that lead to unplanned downtime and sub-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more insight into possible sources of variation, facilitating more proactive quality control. The successful applicant has: - a PhD degree in computer science, applied mathematics, engineering or other relevant fields. - a keen interest in at least one of the following topics: machine learning, dynamic systems, applied mathematics (system identification and/or structural identifiability), Bayesian methods - proficiency in English (knowledge of the Dutch language is not required). Supervisors: Prof. Kerstin Bunte and Prof. Jan Post Deadline: 15 September 2025 Start Date: 1 Jan 2026 ✅ Either full-time (1.0FTE) for 21 months, or 0.88FTE for 24 months under Dutch university agreement ✅ Gross salary: €4,060 ✅ Focus: Expert informed ML + AI modelling for advanced production process monitoring ✅ Strong interdisciplinary team: Engineering, AI, and ML ✅ Involvement with APE & Intelligent Systems groups ✅ International students welcome (English proficiency required) 💡 This is a great opportunity to work on advanced machine learning with real industrial relevance (anomaly detection, process monitoring, optimization, and more). More information can be found at: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… About the University of Groningen Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 34,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and the top 100 universities in the world, the University of Groningen is truly an international place of knowledge. -- Kerstin Bunte, Professor of Machine Learning for interdisciplinary data science Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence Faculty of Science and Engineering University of Groningen Bernoulliborg, Nijenborgh 9, 9747 AG Groningen The Netherlands Email: k.bunte(a)rug.nl web: http://www.cs.rug.nl/~kbunte/

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CfPs for Brain Informatics 2025 [Final Extension]
by angela.lombardi＠poliba.it July 23, 2025

July 23, 2025

We apologize if you have received multiple copies ------------------------------------------------- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 18th International Conference on Brain Informatics (BI'25) November 11-13, 2025 | Bari, Italy The key theme: Brain Science meets Artificial Intelligence A hybrid conference with both online and offline modes History of BI: https://youtu.be/kgYWk88DI3w Conference homepage: https://wi-consortium.org/conferences/bi2025/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Important Dates: * 20 August 2025: Full Paper Submission Deadline * 20 August 2025: Abstract Presentation Submission Deadline Keynotes: * Professor Giorgio A. Ascoli George Mason University, USA Title: From Neuron Classification to Spiking Neural Network Simulations: A Neuroinformatics Approach to Data-Driven Computational Models * Prof. Morten L Kringelbach University of Oxford, UK and Aarhus University, Denmark Title: Whole-brain Modelling: Cartography of Eudaimonia and Flourishing In he Human Brain * Dr. Giulio Pergola The University of Bari Aldo Moro, Italy Title: The Human Brain Wasn’t Built in a Day: The Building Blocks of Psychiatric Risk Trajectories * Professor Islem Rekik Brain And SIgnal Research and Analysis (BASIRA) Laboratory, London, UK Title: Brains and AI: A Two-Way Journey Sponsored By: IEEE Computer Society Technical Committee on Intelligent Informatics (TCII: https://www.computer.org/communities/technical-committees/tcii) Web Intelligence Consortium (WIC: https://wi-consortium.org/) Polytechnic University of Bari, Italy (PUB: http://www.en.poliba.it/) Springer Nature ***Accepted Workshops and Special Sessions*** WS01: Brain Informatics 2025 Workshop on Web Intelligence meets Brain Informatics WS02: Towards Predictive Precision: Multimodal Prediction Models using Diverse Biomarkers for Early Detection of Neurocognitive Disorders WS03: The International Workshop on Generative AI Empowers Brain Signal Processing (GAIEBSP 2025) WS04: The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2025) WS05: The International Workshop on Neural Data Analysis for Brain-Computer Interfaces and Brain Disorders WS06: The International Workshop on Brain Information Mechanisms in Special Populations WS07: The International Workshop on Cutting Edge Technologies for Human-Computer Interaction WS08: The International Workshop on Brain Network Dynamics Using the LEiDA Algorithm WS09: The International Workshop on Affective and Cognitive Sensing for Intelligent Human-centered Systems (ACSIHS) WS10: The 4th International Workshop on Computational Brain Image Analysis and Genomics (CBIAG) WS11: The International Workshop on Network Estimation via Source Separation (NESS) WS12: The 4th International Workshop on Computational Neuroaesthetics (WCN 2025) WS13: The 7th International Workshop on Cognitive Neuroscience of Thinking and Reasoning (CNTR 2025) WS14: The Workshop on Neuro-AI Synergy: Multimodal Approaches to study Brain Connectivity in Neurological Diseases SS01: The 5th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2025) SS02: The Special Session on Spatio-Temporal Brain Data Modelling: New Approaches to Understanding Brain Dynamics SS03: The Special Session on Advancing Affective-Cognitive Integration(ACI) in Foundation Models SS04: Special Session on Multi-modal Foundation Models and Large Language Models for Neuroscience and Neurological Disorders ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communications Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 18th International Conference on Brain Informatics (BI'25) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'25 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High-quality BI conference papers may be nominated to submit an extended version for a fast-track review and publication at the Brain Informatics Journal (ESCI, IF=4.5, https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. *** Paper Submission and Publications *** 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format (https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged 100€ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series (https://link.springer.com/conference/brain) Abstract Submission (Only for Workshops/Special Sessions): Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Tutorials, Workshop & Special Sessions *** Proposal Submissions (https://wi-lab.com/cyberchair/2025/bi25/scripts/submit.php?subarea=ProW) BI'25 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 20 August 2025: Full Paper Submission Deadline * 20 August 2025: Abstract Presentation Submission Deadline * 1 October 2025: Final Paper and Abstract Acceptance Notification * 11 October 2025: Accepted Paper and Abstract Registration Deadline * 11 October 2025: Camera-Ready and Copyright Submission Deadline * 11 Nov 2025: Workshops and Special Sessions * 12-13 Nov 2025: The Brain Informatics Conference Organizing Committee ++++++++++++++++++ General Chairs Angela Lombardi (Polytechnic University of Bari, Italy) Elvira Brattico (University of Bari, Italy & Aarhus University, Denmark) Program Committee Chairs Carmelo Ardito (Polytechnic University of Bari, Italy) Hasan Ayaz (Drexel University, USA) Sirawaj Itthipuripat (King Mongkut's University of Technology Thonburi, Thailand) Shuqiang Wang (Shenzhen Institute of Advanced Technology, CAS, China) Local Organization Chairs Tommaso Colafiglio (Polytechnic University of Bari, Italy) Giulio Carraturo (University of Bari, Italy) Danilo Danese (Polytechnic University of Bari, Italy) Giuseppe Fasano (Polytechnic University of Bari, Italy) Mariangela Lippolis (University of Bari, Italy) Benedetta Mattarelli (University of Bari, Italy) Paolo Sorino (Polytechnic University of Bari, Italy) Workshop/Special Session Chairs Vito Walter Anelli (Polytechnic University of Bari, Italy) Xiaofu He (Columbia University, USA) Xinwei Li (Chongqing University of Posts and Telecommunications, China) Paolo Taurisano (University of Bari, Italy) Publicity Chairs Antonio Ferrara (Polytechnic University of Bari, Italy) Hongzhi Kuai (Maebashi Institute of Technology, Japan) Jing Meng (Chongqing Normal University, China) Tutorial Chairs Sebastiano Stramaglia (University of Bari, Italy) Paola Galdi (University of Edinburgh, UK) Poster Session Chairs Domenico Lofù (Polytechnic University of Bari, Italy) Tiziana Lanciano (University of Bari, Italy) Publication Chair Hongzhi Kuai (Maebashi Institute of Technology, Japan) Advisory Board Chair: Ning Zhong (Maebashi Institute of Technology, Japan) Guoming Luan, Sanbo Brain Hospital, China Mufti Mahmud, Nottingham Trent University, UK Nikola Kasabov, Auckland University of Technology, New Zealand Hanchuan Peng, SEU-Allen Institute for Brain & Intelligence, China Hesheng Liu, MGH, Harvard Medical School, USA Shinsuke Shimojo, California Institute of Technology, USA Stefano Panzeri, University Medical Center Hamburg-Eppendorf, Germany Tianzi Jiang, Institute of Automation, CAS, China Tommaso Di Noia, Polytechnic University of Bari, Italy

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[Meetings] [CFP] Call for Submissions: NeuroDesign in HRI Student EXPO & Competition @ IEEE RO-MAN 2025
by NeuroDesign in HRI July 22, 2025

July 22, 2025

[Meetings] [CFP] Call for Submissions: NeuroDesign in HRI Student EXPO & Competition @ IEEE RO-MAN 2025 =============================== 📣 Call for Submission =============================== NeuroDesign in HRI Student EXPO & Competition (50% Chance of Winning Opportunity) The 3rd Workshop on NeuroDesign in Human-Robot Interaction: The making of engaging HRI technology your brain can’t resist IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2025 https://www.ro-man2025.org/) 📍Eindhoven, Netherlands 🗓 August 25, 2025 🔗 <https://neurodesign-in-hri.webflow.io/>Workshop Website: https://neurodesign-in-hri.webflow.io/ 🔗 Submission Form <https://forms.gle/fQMxJtkXb8JEU2WR6> https://forms.gle/fQMxJtkXb8JEU2WR6 🚀 What Is NeuroDesign in HRI? NeuroDesign is an emerging framework that blends principles from neuroscience, cognitive and behavioral psychology, human-centered interactive design, and artificial intelligence to create human-robot interactions that are not only functional—but emotionally resonant, intuitively aligned, and cognitively engaging. It pushes beyond usability into neuro-resonance—where robots dynamically respond to and adapt with human intent, attention, affect, and behavior in real time. Whether through brain-computer interfaces, wearable robotics, soft haptics, or embodied AI, NeuroDesign seeks to answer: How can we design HRI systems that feel natural to the brain, meaningful to the user, and effective in the real world? ------------------------------ 💡 About the Student EXPO & Competition Dear Colleagues, are you working on a human-interactive robot, wearable device, or neuro-inspired interface? Do you have a prototype, early-stage system, or insightful study that reimagines the way humans and machines connect? Join us for the NeuroDesign in HRI Student EXPO & Competition, held in conjunction with the NeuroDesign in Human-Robot Interaction Workshop at IEEE RO-MAN 2025 conference in Eindhoven, Netherlands. This unique event invites students (BSc, MSc, PhD) to showcase their visionary projects and receive live, cross-disciplinary feedback from a distinguished panel of experts in: - Human-Robot Interaction - Brain-Computer Interfaces (BCI) - Cognitive Neuroscience & Psychology - Wearable and Soft Robotics - Design & Arts - AI and Startups Together, we’ll explore how to evolve promising ideas into truly neuroadaptive, socially impactful technologies. ------------------------------ 🧠 Suggested Submission Topics We welcome submissions across a wide spectrum of human-robot interaction, including (but not limited to): - Affective & Social Robotics - Brain-Machine / Brain-Computer Interfaces (BCI) - Wearable & Assistive Robots - Exoskeletons & Rehabilitation Systems - Human-AI Co-adaptation - Embodied AI / Large Language Models for HRI - VR/AR, XR, & Metaverse-based Interaction - Haptics, Teleoperation & Sensory Feedback - Cognitive & Physical Human-Robot Interaction (cHRI/pHRI) - Neuroergonomics & Human Factors - Soft Robotics & Bionic Systems - Smart Environments & Pervasive Computing (IoT, Smart Homes) - Multimodal Interfaces: Gesture, Speech, Emotion Recognition - RoboEthics, Inclusion & DEI in HRI - RoboFashion, Adaptive Wearables & Robot Skins - Supernumerary Limbs, Human 2.0, & Intelligence Augmentation - Anything that Connects Minds, Bodies, and Robots ------------------------------ 📥 Submission Formats Choose one (or any combination) of the following submission styles: 1. Video Abstract: A 100-word summary + 1–2 minute video overview (A concise 100-word abstract and a 1-2 minute video, offering a brief yet engaging overview.) 2. Slide Deck: A 100-word summary + 5 informative slides (A 100-word abstract accompanied by 5 detailed slides for a short but thorough presentation.) 3. Extended Abstract: A 2-page write-up (IEEE RAS format) (for a more in-depth submission) 🔗 IEEE Template: https://ras.papercept.net/conferences/support/word.php <https://ras.papercept.net/conferences/support/word.php> 4. Participants are welcome to submit using any one or any combination of the above formats. ------------------------------ 🎤 Finalists & Presentation Format Our selection process is on a “rolling basis”, and we aim to choose 10 projects for the final on-stage pitch presentation. We especially encourage those who have already submitted their work as posters or papers to RO-MAN 2025 or have publications elsewhere to participate in our event. This competition offers a fantastic opportunity to increase the visibility of your research globally. - 10 projects will be selected for on-stage 5-minute pitch presentations. - Finalists may join in person, via Zoom, or submit a pre-recorded presentation. - All submissions (accepted or not) will be offered poster/demo space at our venue. - We will print and exhibit posters for virtual participants. ------------------------------ 🖼️💻 Exhibition and Virtual Participation All submitted projects will receive a dedicated booth for poster and prototype demonstrations. For participants unable to travel to RO-MAN 2025, we will print your posters and display them on the bulletin boards at our venue. The event is designed to be "Hybrid" to ensure that everyone has the opportunity to participate, regardless of their ability to travel to RO-MAN (@ the Netherlands). A Zoom link will be provided for your virtual participation. ------------------------------ 🏆 Awards & Recognition (5 out of 10 Finalists Will Receive an Award!) We are thrilled to offer two award categories: 🧠 Best Innovation in HRI NeuroDesign Award - 3 top projects selected by our expert panel based on originality, NeuroDesign alignment, and real-world potential. - Prizes: - 🥇 1st Prize: $250 - 🥈 2nd Prize: $150 - 🏅 3rd Prize: Certificate of Excellence ❤️ Most Popular Project in NeuroDesign Award - 2 projects voted by workshop attendees and online audience for charm, creativity, and engagement. - Prizes: - [image: 🏆] 1st Prize: Full submission fee waiver to Frontiers in Robotics and AI - 🥈 2nd Prize: Mysterious Runner-up Prize All winners will receive official certificates and feature opportunities on our website and post-workshop publications. ------------------------------ 📅 Key Dates - Submission Deadline: August 3, 2025 (Please note that our selection process is rolling, so early submissions are encouraged) - Finalist Notification: August 5, 2025 - Competition Day: August 25, 2025 ------------------------------ 🔗 Submit Your Entry Now 👉 Submission Form: https://forms.gle/fQMxJtkXb8JEU2WR6 <https://forms.gle/fQMxJtkXb8JEU2WR6> 📨 For any questions, feel free to reach out via our website submission form, or email us to: neurodesign.hri(a)gmail.com ------------------------------ Let’s shape the future of human-robot interaction—by design, for the brain. Best regards, The Organizing Committee NeuroDesign in Human-Robot Interaction @ RO-MAN 2025 https://neurodesign-in-hri.webflow.io/

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The Best Illusions of 2024 and Launch of the 2025 Best Illusion of the Year Contest!
by smart＠neuralcorrelate.com July 21, 2025

July 21, 2025

Dear Illusion Enthusiasts, Voters around the globe chose the Best Illusions of the Year from the Top 10 Finalists competing in the 2024 edition of <https://illusionoftheyear.us12.list-manage.com/track/click?u=31742f75c7d963 97d9dee170b&id=318af74924&e=7e260e6cae> Best Illusion of the Year Contest (hosted by the Neural Correlate Society and sponsored by the Museum of Illusions <https://www.museumofillusions.com/> ). The TOP 3 winning illusions were revealed on Wednesday, July 2nd. First Prize and a $3,000 award went to "The Static Spin" by Saleeta Qadir and Bernhard Egger, Germany. Second Prize and a $2,000 award went to "Dollusion" by Duška Milosavljević, Serbia. Third Prize and a $1,000 award went to "Tri-form Prism" by Hiroaki Hamanaka, Ryohei Miki, Kyota Yamamoto, Japan. If you enjoyed the spectacular illusions that competed in 2024, please consider making a tax-deductible donation <https://www.paypal.com/webapps/shoppingcart?flowlogging_id=d2461f180023b&mf id=1607894519576_d2461f180023b#/checkout/openButton> to the Best Illusion of the year Contest. We rely on your generous help to continue to share the wonders of illusion with people of all ages and backgrounds, all over the world. We are now accepting submissions for the 2025 edition of the Best Illusion of the Year Contest! We invite you to submit your mind-bending illusions through September 20, 2025. Don't miss the opportunity to be part of next year's top illusions and compete for international recognition and cash prizes. Contestants are invited to submit 1-minute YouTube videos featuring novel illusions (unpublished or published no earlier than 2024) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. Novel variants of known illusions are welcome. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * A video of yourself describing your illusion * A video animation/theatrical performance of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. The Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the Year Contest does not preclude you from also presenting or submitting your work for publication elsewhere. By participating in the Best Illusion of the Year Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2025 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( <mailto:smart@neuralcorrelate.com> smart(a)neuralcorrelate.com) until September 20th, 2025. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion <x-msg://2/championsofillusionbook.com> and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart(a)neuralcorrelate.com <mailto:smart@neuralcorrelate.com> Phone: +1 718-270-4520 <tel:%2B1%20718-270-4520> http://smc.neuralcorrelate.com

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Postdoc in human neuroscience: Georgia Tech in Atlanta, GA
by Rozell, Christopher J July 16, 2025

July 16, 2025

The Structured Information for Precision Neuroengineering (SIPLab)<https://siplab.gatech.edu/> at the Georgia Institute of Technology (Atlanta, GA) is hiring a postdoctoal fellow to work with Drs. Christopher Rozell and Sankar Alagapan. We are seeking a postdoc with a background in human neuroscience who has finished (or is about to finish) a doctoral degree in Psychology, Neuroscience, Biomedical Engineering, or related areas. The ideal candidate will have experience in conducting human subject studies with neural data acquisition (e.g., EEG, MEG, intracranial EEG, fMRI) and be proficient in analytical approaches for neural data analysis (e.g., artifact removal, time-frequency analysis, functional connectivity, etc.). Experience in cognitive neuroscience, brain stimulation, mobile EEG, other physiological data streams, or advanced machine learning approaches (e.g., dynamical systems modeling, deep learning) will be considered a plus. We are looking for a highly motivated and creative individual who enjoys working in an exciting interdisciplinary research environment. This role will build on our recent advances<https://www.nature.com/articles/s41586-023-06541-3> in neurotechnology therapies for treatment resistant depression to further understand the circuit basis (and potential therapeutic approaches) for psychiatric disorders. In particular, this position will contribute to ongoing efforts<https://reporter.nih.gov/search/CNg6B0FeU0yAGojyUQpnYw/project-details/1104…> in studying brain-body relationships underlying effortful behavior in healthy individuals, individuals with depression, and individuals undergoing intracranial monitoring for epilepsy surgery planning. Training will include advanced machine learning approaches, brain stimulation, multimodal data acquisition, and analysis. The lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties, but the successful candidate will take an active role in mentoring students and further developing the research program. Excellent (written and oral) communication skills in English are required. The start date is flexible but ideally would be as soon as possible. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience and NIH standard scales. Georgia Tech has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. Georgia Tech is a vibrant intellectual community, including the recently launched Institute for Neuroscience, Neurotechnology & Society<https://neuro.gatech.edu/>. The campus is in the heart of midtown Atlanta, which is one of the fastest-growing metropolitan areas (and entrepreneurial communities) in the United States. Outside of work, Atlanta boasts a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to Drs. Rozell (crozell -at- gatech -dot- edu) and Alagapan (sankar.alagapan -at- gatech.edu) with the subject line "SIPLab postdoc application". Applications are currently being reviewed and will continue until the position is filled.

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[Newsletter RTAIM] 20th RTAIM Seminar | Workshop Mind and Cognition (w/ C. Craver, E. Jablonka, D. Walsh and H. Desmond) | 4th Inter. Conf. Ethics of AI (Attendance Registration) | Call for Papers (JAIC)
by steven gouveia July 16, 2025

July 16, 2025

Dear All, You are welcome to attend the 20th rTAIM Online Seminar, with the participation of Diana Perez (Uni. Buenos Aires, Argentina), 16 July 2025, 3:00pm - 4:30pm (Lisbon Time) via Zoom with the title “Amplifying AI's problems in healthcare: the Case of Mental Health". Zoom info is available here: https://ifilosofia.up.pt/activities/seminar-20-rtaim We are also welcome to invite you to participate in the Workshop “Mind and Cognition”, with the in-person participation of: * Denis Walsh (Toronto University) * Eva Jablonka (Tel Aviv University) * Carl Craver (Washington University in St. Louis) * Hugh Desmond (Wageningen University) Registration is free (live stream will be available following this zoom info here: https://ifilosofia.up.pt/activities/workshop-mind-and-cognition) Moreover, registrations for Attending (non-speaker) for the 4th International Conference on Ethics of Artificial Intelligence (4ICEAI) is now open. You can register following this procedure: * please go to https://www.letras.up.pt/si/subscriptions?event=118 and choose your registration (if Student or Professional); * After the payment, you should send us the proof of payment to interconfethicsofai(a)gmail.com; * Only the Online Segment (24/25 July) will be live streamed; the In-Person Segment (28-30 July) requires in-person participation; * Venue: Faculdade de Letras da Universidade Porto, Via Panorâmica Edgar Cardoso s / n, 4150-564 Porto. Online: Zoom Platform (only for those registered); * Final Program will be available here: https://ifilosofia.up.pt/activities/4-international-conference-ethics-ai. 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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Postdoctoral Research Opportunity in the Institute of Machine Learning and Neural Computation at TU Graz
by Ozan Özdenizci July 15, 2025

July 15, 2025

Dear all, We have an open postdoctoral researcher position in the Institute of Machine Learning and Neural Computation at Graz University of Technology, Austria. The project will be focused on developing energy-efficient solutions using spiking neural networks (SNNs) for wireless communication systems. The successful candidate will contribute to cutting-edge research at the intersection of neuromorphic computing and wireless technologies, in particular by designing novel learning algorithms for SNN-based energy-efficient neural receivers. Candidates are required to have a PhD degree in computer science, artificial intelligence, electrical engineering, or similar. A strong background and research experience with spiking neural networks and deep learning are expected. The position will be jointly supervised by Ozan Özdenizci and Robert Legenstein, and it is fully-funded for 2 years in cooperation with Huawei Technologies Sweden AB. For details on how to apply: https://www.tugraz.at/institute/iml/institute/open-positions Best regards, Ozan Özdenizci -- Dr. Ozan Özdenizci Assistant Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria

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JNS 2025 Satellite Symposium: Connecting Digital Brains Across the World: July 23, 2025, Niigata & Online
by Kenji Doya July 15, 2025

July 15, 2025

We are organizing a Satellite Symposium of Japan Neuroscience Society meeting "Connecting Digital Brains Across the World” on July 23, 2025 at Toki Messe, Niigata, Japan: https://digitalbrainproject.github.io/home/JNS2025satellite.html On-site and online participation is free, not requiring a registration for the JNS main conference, but requires pre-registration from the above web site by July 18, 2025. Following short presentations, we will discuss what is a digital brain, how to build it, and how to use it. We welcome participants from wide fields including experimental/computational neuroscience and NeuroAI. Invited Speakers: Viktor Jirsa (Institut de Neurosciences des Systemes, France) Virtual Brain Twins for medicine Shinya Ito (Allen Institute, USA) Deep-learning-assisted simulation of a cortical circuit: integrating anatomy, physiology, and function Franco Pestilli (University of Texas at Austin, USA) Putting big data and AI to good use in neuroscience Sacha van Albada (Jülich Research Centre, Germany) Toward more standardized brain modeling to break the complexity barrier Saori Tanaka (ATR, Japan) A Brain Data Platform for the Digital Brain: Current Status and Future Directions Jason Ritt (Brown University, USA) Standardized Neuroscience Data Formats and Non-Standardized Scientists Charissa Poon (RIKEN CBS, Japan) A 3D transcriptomic and connectivity atlas of the adult marmoset brain Michael Denker (Jülich Research Centre, Germany) Kanso, Kaizen, Code: Three thoughts on finding Ikigai of digital brain science infrastructure Takuya Isomura (RIKEN CBS, Japan) Reverse engineering of generative models for predicting learning Organizers: Kenji Doya (OIST), Carlos Gutierrez (Softbank/OIST), Takuya Isomura (RIKEN CBS), Ken Nakae (Fukui University), Saori Tanaka (NAIST/ATR), Yukako Yamane (OIST) ---- 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://groups.oist.jp/ncu CAUTION: This email originated from outside the organization. Do not click links or open attachments unless you recognize the sender and know the content is safe.

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Open PhD position in project SHIFT: A Shift towards Dynamic Perception Analysis with Continuous Psychophysics
by Constantin Rothkopf July 14, 2025

July 14, 2025

We have a fully funded open PhD position in the lab of Constantin Rothkopf (https://www.pip.tu-darmstadt.de/) at the Centre for Cognitive Science @ TU Darmstadt in a joint DFG-AEI project in collaboration with Joan López-Moliner (U. Barcelona) on continuous psychophysics. This exciting new experimental paradigm abandons the rigid trial structure involving binary responses and replaces it with continuous behavioral adjustments to dynamic stimuli: Bonnen, K., Burge, J., Yates, J., Pillow, J., & Cormack, L. K. (2015). Continuous psychophysics: Target-tracking to measure visual sensitivity. Journal of vision, 15(3), 14-14. https://jov.arvojournals.org/article.aspx?articleid=2301260 Together with a computational analysis framework based on Bayesian inverse optimal control it is possible to not only recover the perceptual sensitivity but additionally estimate participants’ action variability, internal behavioral costs, and subjective beliefs about the experimental stimulus dynamics: Straub, D., & Rothkopf, C. A. (2022). Putting perception into action with inverse optimal control for continuous psychophysics. Elife, 11, e76635. https://elifesciences.org/articles/76635 In SHIFT, we want to validate, refine, and extend our analysis method for continuous psychophysics. Our group is part of the Centre for Cognitive Science (http://www.cogsci.tu-darmstadt.de/) and the AI Center at TU Darmstadt, which are home to an internationally outstanding group of PIs and junior researchers working in the areas of computational cognitive science, machine learning, and artificial intelligence. We are part of several research consortia including two recently awarded Excellence Clusters (The Adaptive Mind & Reasonable AI), we are part of the Simons Collaboration on Ecological Neuroscience, and engage in multiple fruitful research collaborations. The lab has state of the art equipment for eye and body tracking, VR, naturalistic task monitoring, psychophysics and access to one of the most generous computing infrastructures in Germany. We foster an inclusive, supportive, and collaborative environment driven by scientific curiosity and mutual respect and we maintain close interactions with other research groups including joint lab meetings. Applicants may have a background in cognitive science, computer science, neuroscience, psychology, engineering, or related fields. Don’t hesitate to contact me informally for more details if you have any questions. Please send an application including a CV, a two page cover letter explaining your research interests, motivation for joining the project, and contact information for 2-3 references in a single pdf file. Please include "SHIFT" in the subject of your mail. Applications will be reviewed on a continuing basis. The Frankfurt-Darmstadt metropolitan area is located in the heart of Europe and is one of the most international regions in Germany with a diverse community and rich culture repeatedly earning high rankings in worldwide surveys of quality of living. Frankfurt recently reached 7th place worldwide in a ranking of attractiveness by the Economist and Darmstadt has repeatedly ranked among the top innovation driving cities in Germany. All the best, Constantin Rothkopf -- Prof. Constantin A. Rothkopf, PhD Technical University of Darmstadt, Alexanderstr. 10, 64283 Darmstadt phone: +49 6151 16-23367 https://tu-darmstadt.zoom-x.de/my/crothkopf Psychology of Information Processing Group https://www.pip.tu-darmstadt.de/ Centre for Cognitive Science http://www.cogsci.tu-darmstadt.de/ Hessian Center for Artificial Intelligence https://hessian.ai/ Institute of Psychology https://www.psychologie.tu-darmstadt.de/

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Opportunity in Maastricht for a professor in computational neuroscience or AI in biology
by Jolivet, Renaud (MACSBIO) July 14, 2025

July 14, 2025

The Dutch government has announced a scheme to attract excellent faculty from abroad (https://www.nu.nl/wetenschap/6362102/miljoenenfonds-om-wetenschappers-naar-…) My department (Systems Biology and Bioinformatics) already has 3 computational neuroscientists and one ERC Synergy Grant. We are interested in attracting one more faculty member. If you are already established and would like to move to Maastricht, please reach out to me ASAP. Renaud — Prof. Dr. Renaud B. Jolivet, FISC André Mischke YAE Prize for Science and Policy 2023 and MCAA Career Award 2022 Chair of Neural Engineering and Computation, MaCSBio, Maastricht University User Team Leader, ISOLDE, CERN ERA Forum Stakeholder Representative, European Commission Chair of the Science and Technology Committee, EBRAINS Polymath Fellow, GCSP +41798302129 (mobile) ‭+31433881741 (office)‬ r.jolivet(a)maastrichtuniversity.nl <mailto:renaud.jolivet@unige.ch> twitter.com/RenaudJolivet <https://twitter.com/RenaudJolivet> linkedin.com/in/renaud-jolivet-63b5534 <http://linkedin.com/in/renaud-jolivet-63b5534> scholar.google.ch/citations?user=9Ozwv7EAAAAJ <http://scholar.google.ch/citations?user=9Ozwv7EAAAAJ>

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Call for Papers & Demos – NeurIPS 2025 Workshop on Foundation Models for the Brain and Body
by Nanda Harishankar Krishna July 11, 2025

July 11, 2025

Hi everyone, We are organizing a workshop on “Foundation Models for the Brain and Body <https://brainbodyfm-workshop.github.io/>” at NeurIPS 2025. The workshop brings together researchers at the interface of biosignals and machine learning. We invite submissions of short papers on novel research in neuroscience, biosignal analysis, and machine learning, with a focus on foundation models and representation learning for neural, physiological, and behavioral data. We also invite interactive demo proposals that showcase novel methods, devices, or applications. We broadly define biosignals as any temporal signal directly or indirectly generated by the brain or body. This includes neural recordings (e.g., EEG, MEG, multi-electrode arrays), physiological signals (e.g., heart rate, respiration), and behavioral signals (e.g., pose extracted from video, gaze). Submissions may focus on methods, applications, or theoretical insights that enhance our understanding of neural and physiological signals in humans and animals. We particularly encourage submissions aligned with foundation model research: models that demonstrate scalability, generalization across tasks, subjects, or modalities. Relevant topics Include, but are not limited to: - Large-scale pretraining on neural or physiological signals - Scaling laws for biosignal foundation models - Brain-computer interfaces and neural decoding - Self-supervised learning for biosignals - Transfer learning across recording modalities - Wearable technology and real-world deployment - Cross-subject and cross-task generalization - Multimodal integration of biosignals - Robust models for noisy biosignal data - Applications to health and clinical diagnosis - Interpretability of biosignal representations - Few-shot, zero-shot, and continual learning in biosignal contexts - Synthetic data generation and augmentation for biosignals - Open datasets, benchmarks, and reproducible evaluation pipelines - Human-AI collaboration for signal interpretation and labeling - Modeling behavioral signals (e.g., pose, gaze) Important Dates - Paper Submission Deadline: August 22, 2025 (AoE) on OpenReview <https://openreview.net/group?id=NeurIPS.cc/2025/Workshop/BrainBodyFM> - Author Notification: September 22, 2025 (AoE) - Workshop Date: To be held during NeurIPS 2025 We have a great lineup of keynote speakers: - Hubert Banville, Meta - Juan Helen Zhou, National University of Singapore - Cuntai Guan, Nanyang Technological University - Guillermo Sapiro, Apple, Princeton University - Eva Dyer, University of Pennsylvania For more details, check out our website: https://brainbodyfm-workshop.github.io/ Best regards, Nanda H Krishna, on behalf of the organizers

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School of Ideas in Neuroscience 2025, Warsaw, Sept 8-13
by Mateusz Kostecki July 10, 2025

July 10, 2025

Hello! We are thrilled to announce the *School of Ideas in Neuroscience 2025*! How is knowledge in neuroscience accumulated? How can we make sense of the terabytes of empirical data collected every day? In our everyday work, we often forget that every scientific endeavor is embedded within a broader theoretical framework. At the same time, most courses and workshops in neuroscience focus on experimental techniques, providing us with more tools to gather more data—but rarely teaching us how to develop *ideas* and integrate our research with existing knowledge. We believe that theoretical thinking and idea development are skills that can be trained, just like learning new methodologies or data analysis tools. At our school, we aim to teach participants how to think theoretically—to collect data that makes sense and to make sense of the data collected. Come to Warsaw to discuss the most exciting *theories and ideas* with neuroscientists and philosophers! We provide beautiful surroundings, a great atmosphere, and plenty of time to talk and think together. The School will take place in *Warsaw, September 8–13, 2025*. The fee is *EUR 700*, but we offer *fee waivers* and *travel grants*. For more information and to apply, please visit: https://nenckiopenlab.org/the-school-of-ideas-in-neuroscience/school-of-ide… Best regards, The School of Ideas Team -- --- 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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Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics – Ref. 2025/21
by Jaroslav Hlinka July 6, 2025

July 6, 2025

Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics – Ref. 2025/21 We are looking for new team members to join the Complex Networks and Brain Dynamics group <http://cobra.cs.cas.cz/>to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic,https://www.cs.cas.cz/ <https://www.cs.cas.cz/>. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience(epilepsy, schizophrenia, depression; and spontaneous dynamics of healthy brain), climate research, economics and general communication networks. More information about the group at Complex Networks and Brain Dynamics group <https://cobra.cs.cas.cz/> site. We offera full-time position with the following benefits: * Flexible working conditions including negotiable part time contract. * Monthly gross salary: 54 – 72 thousand CZK based on qualifications and experience. * Additional bonuses depending on performance. * Travel funding for conferences and research stays. * Five weeks of paid vacation on top of public holidays; social and health care insurance; child care facilities in the Institute’s building; highly attractive and safe location (Prague). * No teaching duties. We encourage you to apply, if you: * Hold a Ph.D. (Ph.D. student/Research Assistant positions available as well, see informal inquiries contact). * Have strong mathematical, statistical, data analysis, and/or machine learning skills. * Are a curious, self-motivated, hard-working, team-spirited researcher. * Are fluent in English. * Your prior experience with time series and network analysis is advantageous, but not required. Conditions of the contract: * Contract is for 3 -36 months duration. * Positions are available immediately or upon agreement. Applications will be reviewed on a rolling basis, until filled. To apply, submit your application to jobs(a)cs.cas.cz <http://jobs@cs.cas.cz>and include: 1. Curriculum Vitae with a list of publications. 2. Ideally two letters of recommendation, sent by the referees directly to jobs(a)cs.cas.cz <http://jobs@cs.cas.cz>. 3. The Ref. No. 2025/21. 4. Cover letter in which you describe your motivation and qualifications for the position. For informal inquiries feel free to contact the group leader Ing. Mgr. Jaroslav Hlinka, Ph.D. <https://www.cs.cas.cz/staff/hlinka/en>: hlinka(a)cs.cas.cz -- Jaroslav Hlinka Head of the Department of Complex Systems Deputy Director, Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 00, Czech Republic Tel: (+420) 26605 3808 E-mail: hlinka(a)cs.cas.cz Web: http://www.cs.cas.cz/hlinka/ Complex Networks and Brain Dynamics Group (COBRA): http://cobra.cs.cas.cz Brain Dynamics consortium project (BRADY): https://brady.cs.cas.cz/

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Max Planck Group Leader positions at Biological Cybernetics
by Peter Dayan July 4, 2025

July 4, 2025

Max Planck Research Group Leaders at the MPI for Biological Cybernetics, Tuebingen, Germany. The aim of the MPI for Biological Cybernetics is to understand normal and dysfunctional information processing in the brains of humans and animals. We use experimental, theoretical and computational methods to elucidate the characteristics and implementations of the cascades of plastic and recurrent interactions that transform sensory data into perceptions, interoceptions, memories, appropriate choices of actions, and external and internal motor output. We are richly multidisciplinary, have excellent facilities for neuroimaging in humans and capacity for work in animal model systems. We have close links with neighbouring Max Planck Institutes and the University of Tuebingen that cover systems neuroscience, machine learning, and beyond. The working language of the Institute is English. We seek to recruit two independent research groups working in relevant areas and collaborating with each other, departments at the Institute and beyond. Funding covers a set-up package, the position of the group leader (equivalent to a German W2 professorship), one post-doctoral and one or two PhD student fellowships, a technician, secretarial support, plus consumables. It lasts in the first instance for 6 years, with the possibility of a merit-based extension for 3 further years. We seek talented candidates with successful track records who are interested in coming to build a Max Planck Research Group in this environment. Applications should include a CV, a list of publications, summaries of scientific achievements and research plans, and the names and contact details of three referees. Applications should be sent in PDF format no later than 15th August 2025 to: kyb-application(a)tuebingen.mpg.de Shortlisted candidates will be invited to an on-site interview on 11th November 2025. The Institute and the Max Planck Society seek to enhance the proportion of women in areas where they are underrepresented, and they are therefore specially encouraged to apply. The Max Planck Society aims to hire more disabled people, and applications from them are also most welcome. Informal inquiries can be addressed to Peter Dayan via: kyb-inquiry(a)tuebingen.mpg.de The Max-Planck-Gesellschaft is an independent, non-profit research organization that primarily promotes and supports basic research. The society currently operates over 80 institutes and research facilities with more than 23,400 employees, including 4,400 scientists.

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Systems Vision Science Symposium (Aug. 20-22) – Program available
by Pavlovic, Maria July 3, 2025

July 3, 2025

<https://summerschool.lizhaoping.org/contributions-for-symposium/> Systems Vision Science Symposium - <https://summerschool.lizhaoping.org/contributions-for-symposium/> Aug. 20-22, 2025 in Tübingen, Germany The program is now available here: <https://summerschool.lizhaoping.org/contributions-for-symposium/> https://summerschool.lizhaoping.org/contributions-for-symposium/ Space is limited to 100 attendants <https://summerschool.lizhaoping.org/contributions-for-symposium/> registration to the symposium is accepted until space is filled! -------------------------------- We are pleased to announce our symposium's keynote speaker: Tadashi Isa. Invited speakers of the Systems Vision Science Summer School and Symposium include: Marco Bertamini, David Brainard, Peter Dayan, Andrea van Doorn, Roland Fleming, Pascal Fries, Wilson S Geisler, Robbe Goris, Sheng He, Tadashi Isa, Tomas Knapen, Jan Koenderink, Laurence Maloney, Keith May, Marcello Rosa, Jonathan Victor, Li Zhaoping. -------------------------------- We invite you to participate in the symposium. The symposium is in the general topic of Systems Vision Science, which promotes the combination of computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes four poster sessions (two daytime sessions and two evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. -------------------------------- Please direct inquiries to <mailto:svs.summerschool@tue.mpg.de> svs.summerschool(a)tue.mpg.de <https://summerschool.lizhaoping.org/> https://summerschool.lizhaoping.org/ -------------------------------- Organizing team: Li Zhaoping Maria Pavlovic Vladislav Aksiotis Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen

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CNS*2025 workshop "Bridging Complexity and Abstraction: Large-Scale Mechanistic Models of Brain Circuits from Biophysically Detailed to Simplified Representations", 9th July 14:00 to 17:30
by Srikanth Ramaswamy July 2, 2025

July 2, 2025

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BabyBench Competition Announcement
by Jochen Triesch July 2, 2025

July 2, 2025

Dear colleagues, We are thrilled to announce the official start of the first BabyBench Competition featured at the IEEE International Conference on Development and Learning (ICDL) 2025! The topic of this first edition will be how infants discover their own bodies. Can you help the multimodal infant model MIMo learn two typical infant behaviors: self touch and hand regard? What is BabyBench? BabyBench is a Multimodal Benchmark of Infant Behaviors for Developmental Artificial Intelligence. The goal of the competition is to devise learning algorithms that allow MIMo to obtain important milestones of cognitive development. We provide the embodiment, the simulation environments, and the evaluation metrics; all you need is to implement your ideas. Are you up for the challenge? Important dates • Submission deadline: September 1, 2025 • Winner announcement at ICDL: September 19, 2025 Why Participate? • Low Entry Barrier: Get started quickly using our pre-defined, user-friendly simulation environment. Whether you're a seasoned researcher or a curious newcomer, the BabyBench platform is designed to let you focus on modeling, not engineering. • The winner will receive a €150 prize sponsored by the IEEE RAS TC Cognitive Robotics. • All finalists will receive a certificate at the IEEE ICDL. • Contribute to the Developmental AI community! For more information visit https://babybench.github.io/2025 Main contact point: Francisco Lopez (fcomlop(a)gmail.com) Feel free to forward this to anyone who might be interested! Warm regards, The BabyBench 2025 Organizing Team Francisco M. López (Frankfurt Institute for Advanced Studies) Valentin Marcel (Czech Technical University in Prague) Xavier Hinaut (INRIA Bordeaux) Jochen Triesch (Frankfurt Institute for Advanced Studies) Matej Hoffmann (Czech Technical University in Prague)

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[CfP] NeuRobots 2025 @ IROS – Workshop on Neuromorphic Perception (Deadline: Aug 24)
by Sebastian Otte July 2, 2025

July 2, 2025

======================================================================== CALL FOR CONTRIBUTIONS — NEUROBOTS 2025 Workshop on Neuromorphic Perception for Real-World Robotics In conjunction with IROS 2025 October 24, 2025 – Hangzhou, China Room 102A – Morning Session ======================================================================== Are you developing neuromorphic or event-based vision systems that operate in real-time on physical robotic platforms and are validated in the real world? NeuRobots 2025 is the venue to present your work. We welcome contributions in the following categories: - Full-length conference/journal papers (accepted at IROS or a related venue) - Extended abstracts (2-4 pages, excluding references) - Demos (video + 1-page description) *** Submission Deadline: August 24, 2025 (AoE) *** Submit and find more info here: https://sites.google.com/view/neurobots2025/home ------------------------------------------------------------------------ Scope: NeuRobots 2025 focuses on real-world applications of neuromorphic and event-based perception, including: - Event-based vision and data representations - Spiking neural networks and bio-inspired algorithms - Real-time perception pipelines - Hybrid sensing (traditional + neuromorphic) - Hardware implementations (ASIC, FPGA, etc.) We are especially interested in systems that go beyond simulation and demonstrate clear advantages in dynamic, real-world environments. ------------------------------------------------------------------------ Confirmed Speakers: - Guido De Croon (TU Delft) - Mina Khoei (SynSense) - Jörg Conradt (KTH) - Luna Gava (Italian Institute of Technology) - Suman Ghosh (TU Berlin) ------------------------------------------------------------------------ Organizers: Andreas Ziegler (University of Tübingen) Arren Glover (Italian Institute of Technology) Tobi Delbruck (University and ETH Zürich) Yulia Sandamirskaya (ZHAW) Sebastian Otte (University of Lübeck) Giulia D’Angelo (Czech Technical University in Prague) Luca Peres (University of Manchester) Jingyue Zhao (Qiyuan Lab) We look forward to your submissions! ========================================================================

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Subject: PhD Position – Computational Modeling of Dopamine Dynamics (Ruhr University Bochum)
by Robert Schmidt July 1, 2025

July 1, 2025

Subject: PhD Position – Computational Modeling of Dopamine Dynamics (Ruhr University Bochum) The Neural Data Science Group (PI: Prof. Dr. Robert Schmidt, https://www.ini.rub.de/the_institute/people/robert-schmidt/) located in the Faculty of Computer Science at Ruhr University Bochum (RUB), invites applications for a 3-year PhD position (75%, TV-L E13) in computational neuroscience, starting as soon as possible. The position is part of a DFG-funded project and embedded in the new research building THINK (Center for Theoretical and Integrative Neuroscience and Cognitive Science). The project develops a biophysical computational model of striatal dopamine signaling, simulating release, diffusion, uptake, and receptor binding to uncover the structure of dopamine “landscapes” in health and disease (e.g. Parkinson’s disease). The aim is to bridge this mechanistic modeling with dopamine’s cognitive functions in action selection, behavioral flexibility, and reinforcement learning. ⸻ Your profile: • Master’s degree in computational neuroscience, computer science, (bio-)physics, or a related field • Strong programming skills (Python, C/C++) • Interest in biophysical models of neural systems and data-driven neuroscience • Team-minded, self-motivated, and fluent in English We offer: • A 3-year position (75%, TV-L E13) with the opportunity to pursue a PhD in Computer Science • An interdisciplinary and collaborative environment within the RUB’s thriving Faculty of Computer Science (https://informatik.rub.de/en/) • Research integration in the Institute for Neural Computation (https://www.ini.rub.de) and the research building THINK (https://www.ruhr-uni-bochum.de/think/) • Access to high-performance computing resources, mentoring, and career development support ⸻ Application: Send a single PDF including your CV, transcript(s), short statement of interest, and contact info for 1–2 referees to: robert.schmidt(a)rub.de The application deadline is the 15th July, 2025. -- Prof. Dr. Robert Schmidt Neural Data Science www.ini.rub.de/the_institute/people/robert-schmidt/ Institute for Neural Computation Faculty of Computer Science Ruhr-Universität Bochum Universitätsstr. 150 44801 Bochum, Germany

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Senior ML Research Engineer (NeuroAI) at Kempner Institute, Harvard University
by Shad, Max July 1, 2025

July 1, 2025

Dear colleagues, We're hiring a Senior ML Research Engineer (NeuroAI) at the Kempner Institute<https://kempnerinstitute.harvard.edu/> for the Study of Natural and Artificial Intelligence at Harvard University. We're looking for someone at the intersection of machine learning and computational neuroscience to contribute to our NeuroAI research projects. This is a unique opportunity to collaborate closely with leading researchers in neuroscience, AI, and related fields and work on one of the largest academic AI clusters in the US. Position details and application link: Https://careers.harvard.edu/job/senior-ml-research-engineer-in-cambridge-ma…<https://careers.harvard.edu/job/senior-ml-research-engineer-in-cambridge-ma…> Please feel free to share this with anyone who might be interested in the role. Best, Max Max Shad, PhD Senior Director for AI/ML Research Engineering Kempner Institute | Harvard University

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What can you do with 1000 neurons?
by Nicolas P. Rougier (inria) July 1, 2025

July 1, 2025

Dear all, There exists a lot of computational models of decision making that can give account on this or that experimental data. The question is whether we can adapt these models to solve an actual decision task? You'll find at https://github.com/rougier/braincraft the rules of a simple decision making challenge. Roughly, you have have 1000 neurons (leaky rate models), 100 seconds of training time and 10 runs for evaluation. The difficulty comes from the imposed constraints. The first challenge runs from now until August 31 and we'll see if it can be solved (one way or the other). Best, Nicolas Rougier -- Nicolas P. Rougier —— www.labri.fr/perso/nrougier Institute of Neurodegenerative Diseases, Bordeaux

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CNS*2025 workshop "NeuroXAI: Explainable AI for Understanding Biological Brains"
by Jie Mei June 30, 2025

June 30, 2025

Dear colleagues, We are pleased to invite you to the upcoming CNS*2025 workshop "NeuroXAI: Explainable AI for Understanding Biological Brains", to be held on July 8th, 2025 (9am to 12:30pm) in Florence, Italy. This workshop provides a unique platform to bring together neuroscience and AI researchers working on explainable AI (XAI) for neuroscience (NeuroXAI) and other relevant areas of research. Topics of interest include machine learning and data mining models for neuroscience, XAI methods to address challenges in neuroscience data analysis and modeling, neuro-inspired models, and topics of high societal relevance (e.g., open science practices and reproducibility). Confirmed speakers and talks: Parsimonious and Tractable RNNs for Dynamical Systems Reconstruction Daniel Durstewitz (Central Institute of Mental Health Mannheim and Interdisciplinary Center for Scientific Computing at Heidelberg University) Leveraging Latent Space Models for Biomarker Discovery in Deep Brain Stimulation Sankar Alagapan (Georgia Institute of Technology) Explainable AI for neuroimaging in psychiatry: evaluation and cellular-to-network investigation of E/I imbalance in autism Trang-Anh Nghiem (Stanford University/Hertie Institute for AI in Brain Health) Neural dynamics of reversal learning in the prefrontal cortex and recurrent neural networks Christopher Kim (Howard University) What can artificial neural networks learn from biological neuromodulatory systems? Srikanth Ramaswamy (Newcastle University/MIT) For more details, please visit https://cns2025florence.sched.com/event/1z9Mt/neuroxai-explainable-ai-for-u…. We look forward to having you join us in Florence! Yours, Jie Mei, Nina Hubig, Subham Dey and Claudia Plant Best regards Jie Mei Assistant Professor of Computational Neuroscience [Ein Bild, das Schwarz, Dunkelheit enthält. Automatisch generierte Beschreibung] Altenberger Straße 66c Science Park 4 | OG 2 4040 Linz | Austria ATU79114879 www.it-u.at<https://www.it-u.at/> +43 676 / 851307 254 jie.<mailto:vorname.nachname@it-u.at>mei(a)it-u.at<mailto:vorname.nachname@it-u.at> Unsere Datenschutzerklärung finden Sie unter https://it-u.at/en/privacy/. Der Inhalt dieser E-Mail ist vertraulich und kann rechtlich besonders geschützte Informationen beinhalten. Wenn Sie nicht der beabsichtigte Empfänger sind, dürfen Sie diese E-Mail oder die angeschlossenen Dateien weder bearbeiten, verwenden, weitergeben noch reproduzieren. Sollten Sie nicht der vorgesehene Empfänger sein, ersuchen wir Sie höflich, sich sofort mit uns ins Einvernehmen zu setzen und die E-Mail und sämtliche angeschlossene Dateien zu löschen. You can find our Privacy Policy here https://it-u.at/en/privacy/. The content of this email is confidential and may also contain legally privileged information. If you are not the intended recipient you may not process, use, transmit or reproduce this email or any enclosed attachments. If you have received this email by mistake, please notify the sender immediately and delete this email and any enclosed attachments from your system.

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CNS*2025 Tutorial "Building Intuitive and Efficient Biophysical Models with Jaxley and DendroTweaks - Schedule
by Spiros Chavlis June 30, 2025

June 30, 2025

Dear friends and colleagues, We are pleased to announce that this Saturday, July 5, in Florence, Italy, we will be hosting a full-day tutorial at CNS*2025 on "Building Intuitive and Efficient Biophysical Models with Jaxley and DendroTweaks". This tutorial will introduce two new software tools, Jaxley and DendroTweaks, which provide complementary approaches for developing detailed biophysical models. The tutorial will feature interactive, hands-on sessions using Jupyter notebooks, where participants will learn how to: - Build neuronal models with realistic dendritic morphology and ion channels - Understand the role of each model parameter through interactive visualizations - Refine data and standardize models - Speed up simulations using a GPU-based simulator - Optimize model parameters automatically using gradient-based approaches - Train networks of biologically realistic neurons to solve complex tasks, bridging the gap between neuroscience and AI This tutorial is open to researchers and students of all levels interested in computational neuroscience. No prior experience with biophysical modeling is required. A basic familiarity with Python is helpful but not necessary. Software tools: Jaxley: https://jaxley.readthedocs.io/ DendroTweaks: https://dendrotweaks.dendrites.gr/ Speakers and organizers: Spyridon Chavlis, Michael Deistler, Kyra L Kadhim, Roman Makarov Schedule: 09:00 – 09:15 Welcome and general introduction 09:15 – 10:10 Building single-neuron models with DendroTweaks 10:10 – 10:40 Coffee break 10:40 – 12:00 Exploring models in DendroTweaks GUI 12:00 – 13:00 Lunch break 13:00 – 14:30 Building single-cell and network models in Jaxley 14:30 – 15:00 Coffee break 15:00 – 16:00 Optimizing biophysical models with Jaxley See more here: https://cns2025florence.sched.com/event/25kVa/building-intuitive-and-effici… We are looking forward to seeing you in Florence. On behalf of the organizers, Spiros Chavlis

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Workshop online streaming - "Collective dynamics and information processing in neural systems" | Venice 30/06 - 02/07
by Fabrizio Lombardi June 28, 2025

June 28, 2025

Dear All, We invite you to join us online for the coming workshop "Collective Dynamics and Information Processing in Neural Systems <https://liphlab.github.io/NeuroStatPhys_Satellite/>". The workshop will take place* in Venice, Italy, on 30 June - 02 July 2025* at the European Center for Living Technology (ECLT). Here the zoom link https://unipd.zoom.us/j/89751980137 *No registration is required.* *--------------------------------------------------------------------------------------------------------* *About the workshop* A longstanding question is how populations of neurons cooperate and coordinate to perform function and maintain an “optimal” state for information processing and computation. While electrophysiological recordings in behaving animals have provided considerable information about what the firing patterns of single neurons encode in isolation, it remains largely a mystery how populations of neurons interact to perform brain functions. How do emergent collective behaviors, such as neuronal oscillations, waves, or avalanches, support function? And what is the nature of the brain’s internal state and how that affects function? With the aim of further strengthening the connection between neuroscience and statistical physics, this satellite workshop is intended to gather neuroscientists, physicists, and mathematicians who work on collective dynamics, cognition and behavior, and provide an interdisciplinary stage to discuss recent theoretical/computational and experimental advances on the role of neural ensembles for brain function. The workshop will be carefully planned to foster discussion and interaction between attendees, and to encourage the establishment of professional relationships. Particular emphasis will be given to participation of young PI’s and scholars and to the diversity in the pool of participants, with a good balance between physicists, mathematicians, theoretical and experimental neuroscientists. *Topics that will be covered in this workshop include (but are not limited to):* - Dynamics of neuronal ensembles: theory and models - Encoding and decoding of neural ensembles - Learning and memory - Control theory and behavior - Statistical inference - Modeling of brain dynamics in health and disease - Criticality in neural systems *Invited speakers:* - Stefano Fusi (Columbia University) - Gašper Tkačik (IST Austria) - Dietmar Plenz (NIH) - Gianluigi Mongillo (Institut de la Vision) - Raffaella Burioni (University of Parma) - Henrik J. Jensen (Imperial College) - Francesca Mastrogiuseppe (Champalimaud Foundation) - Gaia Tavoni (Washington University in St Louis) - Luca Mazzucato (University of Oregon) - Carlotta Martelli (University Mainz) - Athena Akrami (University College London) - Federico Stella (Donders Institute) - Johannes Felsenberg (FMI Basel) - Ana Paula Millán Vidal (University of Granada) - Michele Allegra (University of Padova) - Nima Dehghani (MIT) - Olivier Marre (Institut de la Vision) - Brice Bathellier (Institut de l'Audition) For further information please check the workshop website https://liphlab.github.io/NeuroStatPhys_Satellite/ The organizing committee, Fabrizio Lombardi, Lucilla de Arcangelis, Serena Di Santo, Samir Suweis, Ulisse Ferrari, Elisa Tentori, Achille Giacometti, Guido Caldarelli

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Two Postdoctoral Research Positions at Ghent University
by Clay Holroyd June 27, 2025

June 27, 2025

The Learning and Cognitive Control Laboratory at Ghent University (Belgium) is recruiting two highly motivated postdoctoral fellows to apply a control-theoretic approach to investigate the neurocognitive mechanisms of cognitive effort ( https://doi.org/10.1037/rev0000467 ). The positions are funded by a European Research Council Advanced Grant ( https://www.ugent.be/en/news-events/six-erc-advanced-grants.htm ), are for 3 years with an opportunity to renew, and are available to start January 2026. Position 1: The successful candidate will apply linear control theory to investigate the energy demands of existing artificial neural network models of working memory, task switching, and brain computer interface tasks. A Ph.D. and background in computational modeling, engineering or a related discipline is required; expertise with linear control theory and dynamical systems theory are preferred but not necessary. Position 2: The successful candidate will train recurrent neural networks to learn the generative structure of existing behavioral, EEG and MEG data sets (dynamical system reconstruction), and apply linear control theory to investigate the energy demands of the resulting network architectures. A Ph.D. and background in computational modeling, engineering or a related discipline is required; expertise with linear control theory and dynamical systems theory are preferred but not necessary. Interested candidates should email their CV, a statement of research interests, and have three letters of reference forwarded to Clay Holroyd at clay.holroyd(a)ugent.be. Inquiries may be directed to him at this email address. Applications will be accepted until the positions are filled.

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Call for papers - Special Issue: Bio-Inspired Computation Based on Mathematical Modeling—Theories and Applications in Health Sciences
by Barna Iantovics June 27, 2025

June 27, 2025

Call for papersSpecial Issue: Bio-InspiredComputation Based on Mathematical Modeling—Theories and Applications in HealthSciencesJournal: Mathematics (ISSN 2227-7390)Impact Factor 2.2 Submission https://www.mdpi.com/journal/mathematics/special_issues/9B5062KZ98 Dear Colleague, You are kindly invited tocontribute with a paper to the Special Issue. It is estimated that biologicallife that has evolved over millions of years will be a fruitful source ofinspiration for the development of novel computational mathematical methods inthe years to come, representing important research directions on mathematicalmodeling in the field of artificial intelligence. Diverse problems in healthsciences are computationally hard and cannot be solved efficiently via actualmethods. Mathematical modeling based on bio-inspired computing applied to solvecomputationally hard problems in health sciences domains is an emerging fieldin this area. Bio-inspired computing has been proven successful for solving alarge variety of problems in domains of science where other methods have notbeen so effective. In this context, this SpecialIssue invites researchers to contribute original works regarding thedevelopment of bio-inspired computational and hybrid methods for solvingdifficult problems in health sciences that represent significant scientificadvancements. Kind regards,Guest EditorsProf. Dr. Laszlo Barna IantovicsProf. Dr. Matthias DehmerProf. Dr. Francesco FlamminiProf. Dr. Frank Emmert-Streib

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[REMINDER] Apply now for the Computational Neuroscience Imbizo 2026 - application form closes July 1, 2025
by Spiros Chavlis June 27, 2025

June 27, 2025

Dear friends and colleagues, Student applications for the next Imbizo are OPEN. Apply before it’s too late. Don’t let this opportunity slip by if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information as widely as you can: SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO (#Imbizo2026) 11 January - 1 February 2026, Noordhoek Beach, Cape Town, South Africa https://imbizo.africa/ Application deadline: 1st July 2025 at 20:00 UTC The Imbizo is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modeling of neurons, neural systems, behavior, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. It also includes a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students, though Honors or advanced Undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply. Students should have sufficient quantitative skills (e.g., a background in mathematics, physics, computer science, statistics, engineering, or related fields). Some knowledge of neural biology will be useful, but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e., at least second-year level mathematics or statistics and have done at least one course in computer programming). Course fees and Scholarships: Course Fee: €1,550 includes all accommodation, meals, social activities, and ground transport in Cape Town. Thanks to our generous sponsors, significant financial assistance is available to reduce and waive fees for students, particularly for African applicants. We also hope to provide some limited travel bursaries for international students. If you need financial assistance to attend Imbizo, please state so clearly in the relevant section of your application. Scholarships on offer: (a) Full Scholarship includes a waived course fee (€1,550) and your economy class travel to Cape Town, which will be booked by the Imbizo. (b) Partial Scholarship includes a waived course fee (€1,550) and a set financial contribution towards your travel costs (paid after arrival in Cape Town). The amount will vary on a case-by-case basis. (c) Course Scholarship includes a waived course fee (€1,550), but you will be responsible for booking and paying for your own travel costs to Cape Town. Note: (a) You must ensure you have a valid passport until at least the 31st of July 2026 when applying. (b) Visa application and related costs remain the responsibility of all accepted students. Important dates: Applications CLOSE: 1st July 2025 at 20:00 UTC References SUBMITTED: 7th July 2025 at 20:00 UTC Outcomes NOTIFIED: mid-August 2025 Accept BY: 1 week after notifications Imbizo STARTS: 11 January 2026 Imbizo ENDS: 1 February 2026 Information and application https://imbizo.africa/ Questions? isicn.imbizo.planning [AT] gmail.com What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. View our past FACULTY and TAs: https://imbizo.africa/people/ Imbizo 2026 Organizing Committee Arif Hamid (University of Minnesota) Adrienne Fairhall (University of Washington) Xaq Pitkow (Carnegie Mellon University) Emma Vaughan (Imbizo Logistics) Spiros Chavlis (IMBB-FORTH) Sponsors The Imbizo is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org/) the International Brain Research Organisation (IBRO) (https://ibro.org/) as well as DeepMind, Meta, and others.

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CNS*2025 workshop "Brain-Inspired Computing"
by Guozhang Chen June 27, 2025

June 27, 2025

Dear Colleagues, We are excited to announce the "Brain-Inspired Computing" workshop at CNS2025, taking place on July 8th, 2025 (9:00 AM–12:30 PM) in Florence, Italy. This workshop will explore the intersection of neural computation and artificial intelligence, featuring cutting-edge research on self-supervised learning in cortical circuits, biologically validated AI models, and energy-efficient neuromorphic hardware. The workshop will bridge neuroscience and AI, discussing: Self-supervised learning mechanisms in the neocortex Biological validation of AI models via optogenetic perturbation Energy-efficient computing inspired by neural circuit architecture Neuromorphic hardware for rapid, low-power learning Confirmed Speakers Rui Ponte Costa (University of Oxford, UK) Guillaume Bellec (Vienna University of Technology, Austria) Guozhang Chen (Peking University, China) Robert Legenstein (Graz University of Technology, Austria): Shogo Ohmae (Chinese Institute for Brain Research, China) Yuliang Zang (Tianjin University, China) Details available on our workshop page: https://docs.google.com/document/d/1ChEKLctgh7j3Q5pmRLYEEBp-U0G9akuMTehfTBf… Who Should Attend? Researchers in computational neuroscience, AI, and machine learning Engineers in neuromorphic hardware and brain-inspired computing Students and professionals interested in biological-computational convergence Please share this invitation with colleagues who may be interested. We look forward to exploring the frontiers of brain-inspired computing in Florence with you! Regards, Guozhang Chen & Yunliang Zang

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NeuroAI workshop at CNS2025 (9 July, 2925)
by Chen, Zhe June 25, 2025

June 25, 2025

Dear Colleagues, We are excited to announce the upcoming CNS*2025 Workshop "BRAIN 2.0: Emerging Topics in NeuroAI”, to be held on Wednesday, July 9, 2025, in Florence, Italy. https://cns2025florence.sched.com/event/f85c99dfa3e704f591b8c17bfb732e86 This workshop is inspired by the goal of the NIH BRAIN (Brain Research Through Advancing Innovative Neurotechnologies) Initiative to develop theories, models, and methods to understand brain functions and their causal links to behaviors. The modern advances in neuroscience and AI have generated growing interests in NeuroAI, as witnessed by the feedback from the recent NIH BRAIN NeuroAI workshop (Nov. 12-13, 2024). Briefly, NeuroAI is aimed to, first, use AI to understand and improve the brain and behaviors, and second, to develop brain-inspired AI systems for robust, faster and more efficient operations and performances. Motivated by the new wave and developments in NeuroAI, this workshop invites leading experts and new investigators from various research backgrounds to discuss many emerging research topics. The goal of this full-day workshop is to focus on building the bridge between AI and neuroscience, to discuss new research directions and outstanding questions, and to foster team collaborations and open science. Research topics of interest include but not limited to neural transformers and foundation models, new neural network architectures, distributional or meta reinforcement learning, structural reasoning and inference, large language models (LLMs), and digital twins brain. The format of the workshop will consist of both overview-like and research-oriented lecture presentations as well as panel discussions. Below is the list of speakers (in alphabetical order) and titles: Z. Sage Chen (NYU), Multiplicative couplings facilitate learning and flexibility in recurrent neural circuits Rui Ponte Costa (Oxford), Learning across the brain: a NeuroAI perspective Tatiana Engel (Princeton), Closing the discovery loop with digital twins and causal perturbations Michael M. Halassa (Tufts), Thalamocortical architectures for cognitive control and flexibility Daniel Levenstein (MIla/McGill), NeuroAI as a platform for theory development: lessons from hippocampal representation and replay Kevin Miller (Google Deepmind), Automatically discovering neuroscience theories from data Gaspard Oliviers (Oxford), Bidirectional predictive coding: Towards robust inference and versatile learning in the brain Seng Song (Tsinghua), Brain inspired learning rules and evolutionary computing Naoshige Uchida (Harvard), Distributional reinforcement learning in the brain We are looking forward to your participation and discussion. Zhe Sage Chen, PhD ------------------------------------------------------------ This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email. =================================

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CNS*2025 workshop 'The computational logic of predictive processes'
by aurelio cortese June 25, 2025

June 25, 2025

Dear Colleagues, We are excited to announce the workshop "The computational logic of predictive processes: a 25-year perspective" at *CNS*2025*, which will take place on *July 9* in *Florence*, Italy. This workshop will provide a platform to discuss new data and theories on adaptive decision-making and learning. Talks will cover the neurobiological and computational basis of learning and flexible behaviours in humans, non-human primates and rodents, as well as work using artificial neural networks to gain deeper insight into these novel mechanisms. Details about the program can be found on our workshop page <https://docs.google.com/document/d/113IeafkwqqYiOSHTyFNfY80v2ObbOzwOvL3uUvS…> . Below is the list of *confirmed speakers*: Abhishek Banerjee (Oxford University / Queen Mary University of London, UK) Andrea Benucci (Queen Mary University of London, UK) Aurelio Cortese (ATR Institute International, Japan) Armin Lak (Oxford University, UK) Silvia Maggi (University of Nottingham, UK) Rohan Rao (Newcastle University / Oxford University, UK) Erin Rich (New York University, USA) Matthias Tsai (Bern University, Switzerland) Please feel free to share this with anyone you think may be interested. We are looking forward to seeing you soon in Florence! Best wishes from Oxford, Kyoto, Nottingham, and New York, Abhi, Aurelio, Silvia, and Erin

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Summer School on Computational Decision Sciences – 8-12 September 2025, London
by Sidarus, Nura June 25, 2025

June 25, 2025

Dear all, It’s my pleasure to announce the Summer School on Computational Decision Sciences (SS-CDS)––the first summer school of the Center for Decision Sciences at Royal Holloway, University of London. https://center-decision-sciences.com/cds-summer-school/ What SS-CDS will bring together an interdisciplinary audience tackling decision making in different scientific fields. The focus is on mathematical and computational modelling, integrating concepts and methods from mathematical psychology, computational psychiatry, computational neuroscience, computational social sciences, machine learning, and cultural evolution. Attendees will benefit from content talks from international leading researchers and practical hands-on sessions. Attendees will also have the opportunity to deliver presentations, receive career advice during social networking events, and reflect critically about research practices in EDI sessions. Where and When SS-CDS will take place at Stewart House, within Senate House, in Central London, on September 8th-12th . Target audience SS-CDS is targeted towards attendees from diverse fields (e.g., psychology, neuroscience, social sciences, computer science, etc.) and career stages (masters, PhD, postdoc, and junior PI). Prerequisite A basic background knowledge in elementary statistics (e.g., probability theory) and programming in Python/R is highly recommended to master the technical skills, but no prior experience with computational modelling is required. Registration Thanks to generous funding provided by the British Academy and the Department of Psychology at Royal Holloway attendance to SS-CDS is free of charge. However, places are limited and will be allocated on a first-come, first-served basis until capacity is reached. To sign up, fill out this form<https://qualtricsxm4dv86z4fr.qualtrics.com/jfe/form/SV_6RpfZELVTnSDzH8> by Monday, August 11th, at 10am UK time. Please feel free to share this information with anyone you think might be interested in participating. Looking forward to seeing you all in September. Best wishes, Gabriele, Andreu, Nura, Anand This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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[Announcement] New Calcium Imaging Analysis Framework: OptiNiSt
by Yukako Yamane June 25, 2025

June 25, 2025

Dear Neuroscience Community, We are pleased to announce the publication of a paper describing OptiNiSt (Optical Neuroimage Studio), a new open-source framework for calcium imaging data analysis. OptiNiSt was developed as part of the AMED(Japan Agency for Medical Research and Development) Brain/MINDS project. Article: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013… OptiNiSt is a flexible and reproducible pipeline construction tool that supports calcium imaging data analysis. Featuring an intuitive graphical user interface, it facilitates data sharing and standardization of analysis workflows across research groups. GitHub (source code): https://github.com/oist/optinist Documentation & Tutorials: https://optinist.readthedocs.io/en/latest/ We hope OptiNiSt will be a helpful tool for your research. Feedback and questions are always welcome. Best regards, Yukako Yamane (yukako.yamane(a)oist.jp) & Kenji Doya Neural Computation Unit Okinawa Institute of Science and Technology (OIST)

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CNS*2025 Workshop "Brains and AI" - Speaker Lineup and Schedule
by Vassilis Cutsuridis June 24, 2025

June 24, 2025

Dear Colleagues, We are excited to announce the upcoming *CNS*2025 Workshop* *"Brains and AI"*, to be held on *Wednesday, July 9, 2025, in Florence, Italy*. This workshop will explore the intersection of neuroscience and artificial intelligence - bringing together researchers applying AI to brain data and those leveraging insights from neuroscience to build better AI systems. https://users.sussex.ac.uk/~tn41/CNS2025_workshop/ <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fusers.sus…> Advances in neuroscience techniques have dramatically increased the volume of data we can now collect from animal and human brains. However, this surge in data has introduced new challenges in extracting meaningful insights. Fortunately, these developments have coincided with breakthroughs in artificial intelligence (AI), which holds the potential to transform how we analyze and utilize scientific information. While there is significant potential here, we are just starting to figure out how to apply modern AI models to interpret and process scientific data, and significant challenges remain. The trend of applying AI to better understand the brain concurs with another reviving trend: applying knowledge from neuroscience to developing new AI. Indeed, despite the tremendous progress, the existing generation of AI shows significant limitations, including a lack of continual learning, poor generalization, dependence on enormous amounts of data for training, bias, and safety problems. These are features where the biological brain excels, highlighting the strong need to learn once more from neuroscience how to develop the next generation of AI. The proposed workshop will combine these two complementary trends, bringing experts from the field together to discuss how AI can facilitate new scientific discoveries and how knowledge of the brain can help improve AI. Below is the list of confirmed speakers: - Fleur Zeldenrust - Vassilis Cutsuridis - Spyridon Chavlis - Andreas Tolias *(online)* - Robert Legenstein - Max Garagnani - Martin Trefzer - Julian Göltz - Maxim Bazhenov - Dhireesha Kudithipudi - Thomas Nowotny The workshop will conclude with a panel discussion and open debate. We look forward to your participation in what promises to be a thought-provoking and engaging event. Thomas Nowotny, Vassilis Cutsuridis, Maxim Bazhenov

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NEURON and NetPyNE tutorial at CNS*2025, July 5, 2025
by McDougal, Robert June 24, 2025

June 24, 2025

Dear colleagues, This July 5th, there will be a “Building mechanistic multiscale models with NEURON and NetPyNE” tutorial at CNS*2025, all day in room 6. To attend, please be sure you have registered for the tutorials at the conference: https://www.cnsorg.org/cns-2025-registration This tutorial will introduce multiscale modeling using NEURON 9.0 and NetPyNE. The tutorial will combine background, examples and hands on exercises covering the implementation of models at four key scales: * single neuron electrophysiology (e.g. action potential propagation), * intracellular dynamics (e.g. calcium buffering, protein interactions), * neurons in extracellular space (e.g. spreading depression), and * networks of neurons. For single cell simulations, we will utilize NEURON through Python, simulating point cells and incorporating realistic morphology information from NeuroMorpho.Org. For network simulations, we will use NetPyNE, a high-level interface to NEURON supporting both programmatic and GUI specification that facilitates the development, parallel simulation, and analysis of biophysically detailed neuronal circuits. We conclude with an example that links intracellular molecular dynamics with network spiking activity and local field potentials. The NetPyNE tutorial will be carried out online using the Open Source Brain web platform (http://v2.opensourcebrain.org) and will include an introduction to NeuroML, a standardized computational neuroscience language to describe detailed models of neurons and neural networks. The tutorial highlights recent substantial developments and new features in both NEURON and NetPyNE. Basic familiarity (e.g. loops, functions, variables, if) with Python is recommended. No advanced programming experience or prior knowledge of NEURON or NetPyNE is required. Speakers will include: Salvador Dura-Bernal, William W Lytton, Robert A McDougal, and Adam JH Newton Preliminary Schedule: 09:00 -0 9:20 Introduction to multiscale modeling (WWL) 09:20 - 10:10 NEURON scripting (RAM) 10:10 - 10:40 Coffee break 10:40 - 12:00 Reaction-diffusion simulations (AJHN) 12:00 - 13:00 Lunch break 13:00 - 14:30 NetPyNE graphical web application (SD) 14:30 - 15:00 Coffee break 15:00 - 16:00 NetPyNE scripting (SD) Best regards, Robert McDougal

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Fwd: Deadline approaching: PhD student using machine learning to understand high-dimensional visual category learning
by Leni Wei June 24, 2025

June 24, 2025

> Begin forwarded message: > > From: "Caspar M. Schwiedrzik" <Caspar.Schwiedrzik(a)ruhr-uni-bochum.de> > Subject: Deadline approaching: PhD student using machine learning to understand high-dimensional visual category learning > Date: 23 June 2025 at 16:23:18 CEST > To: comp-neuro(a)lists.cnsorg.org, announcements(a)lists.cognitivesciencesociety.org > > We are looking for a highly motivated PhD student using machine learning to understand high-dimensional visual category learning. > > The Department of Cognitive Neurobiology of Caspar Schwiedrzik at > Ruhr-University Bochum is looking for an outstanding PhD student with > expertise in computational cognitive neuroscience and/or deep learning > to join our team to the neural basis of mental flexibility. The > project investigates neural mechanisms of high-dimensional visual > category learning, utilizing computational approaches as well as > neuroimaging and neurophysiology in humans and macaque monkeys, > respectively. It is funded by an ERC Consolidator Grant (Acronym > DimLearn; “Flexible Dimensionality of Representational Spaces in > Category Learning”). The PhD student’s project will focus on > developing deep learning “digital twin” models based on neural and/or > behavioral data to investigate flexible multi-task learning. > > The lab seeks to understand the cortical basis and computational > principles of perception and experience-dependent plasticity in the > brain. To this end, we use a multimodal approach including fMRI-guided > electrophysiological recordings in rodents and non-human primates, and > fMRI and iEEG in humans. See https://doi.org/10.1016/j.cub.2023.01.011 > and https://doi.org/10.1038/s41467-024-51543-y for recent examples of > our work. The PhD student will play a key role in our research efforts > in this area. The lab is located at Ruhr-University Bochum > (https://www.rub.de) and the German Primate Center > (http://www.dpz.eu) At both locations, the lab is embedded into > interdisciplinary research centers with international faculty and > students pursuing cutting-edge research in cognitive and computational > neuroscience. The PhD student will have access to dedicated computing > infrastructure, including high performance computing clusters. The > project will be conducted in close collaboration with the labs of > Fabian Sinz (https://sinzlab.org) Alexander Gail > (https://www.dpz.eu/sensomotorik) and Igor Kagan > (http://igorkagan.org) The main site for this part of the project > will be Bochum. Ruhr-University Bochum provides a vibrant and > stimulating neuroscience community with a strong community in > computational as well as experimental neurosciences. The PhD student > will have the opportunity to join the International Graduate School > for Neuroscience (https://www.ruhr-uni-bochum.de/igsn/index.html) or > the International Graduate School of Biosciences > (https://www.biologie.ruhr-uni-bochum.de/biodek/promotion/index.html.en) > > Please find the official job ad and further information here: > https://jobs.ruhr-uni-bochum.de/jobposting/318eb740a64696cad9cbeb78dfa84802… > > -- > Prof. Dr. Caspar M. Schwiedrzik > > Abteilung Kognitive Neurobiologie > Research Center One Health Ruhr > University Alliance Ruhr > Fakultät für Biologie und Biotechnologie > Ruhr-Universität Bochum > > NDEF 05/348, Fach 59 > Universitätsstraße 150 > 44801 Bochum > > Telefon +49 234 32 15220 > > caspar.schwiedrzik(a)rub.de > www.rub.de/

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SiNAPSA Neuroscience Conference '25 (17.-19. Sept, Ljubljana) - abstract submission deadline approaching
by Nina Omejc June 24, 2025

June 24, 2025

Dear colleagues, We are delighted to invite you to the Sinapsa Neuroscience Conference ’25 <https://www.sinapsa.org/SNC25>, which will take place from 17 to 19 September 2025 at the Faculty of Medicine, University of Ljubljana, Slovenia. The conference programme <https://www.sinapsa.org/snc25/media/schedule/Schedule-SNC25_v20250610.pdf> includes plenary lectures, thematic symposia, poster presentations, an educational workshop, and a public consultation. The program will offer a comprehensive insight into neuroscience with diverse topics ranging from molecular and cellular mechanisms to systemic, clinical, and cognitive neuroscience. The deadline for abstract submission <https://www.sinapsa.org/SNC25/call-for-abstracts> is 30 June 2025. For more information, please visit the conference website at www.sinapsa.org/snc25 <http://www.sinapsa.org/snc25>. Hope to see you in Ljubljana in September! SiNAPSA Neuroscience Conference ’25 Organizing committee www.sinapsa.org/snc25 <http://www.sinapsa.org/snc25>

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CNS*2025 Workshop "Enabling synaptic plasticity, structural plasticity, and multi-scale modeling with morphologically detailed neurons using Arbor"
by Jannik Luboeinski June 23, 2025

June 23, 2025

Dear Colleagues, * * we are pleased to announce the workshop "*Enabling synaptic plasticity, structural plasticity, and multi-scale modeling with morphologically detailed neurons using Arbor*", which will take place at *CNS*2025* on *Wednesday, 9 July*, in Florence, Italy. Current computational neuroscience studies are often limited to a single scale or simulator, with many still relying on standalone simulation code due to computational power and technology constraints. Simulations incorporating biophysical properties and neural morphology typically focus on single neurons or small networks, while large-scale neural network simulations often resort to point neurons as a compromise to incorporate plasticity and cell diversity. Whole-brain simulations, on the other hand, frequently sacrifice details at the individual neuron and network composition levels. This workshop introduces recent advances leveraging the next-generation simulator Arbor (https://arbor-sim.org/) designed to overcome these challenges. Arbor enables seamless conversion from the widely used NEURON simulator, facilitates the study of functional and structural plasticity in large neural networks with detailed morphology, and supports multi-scale modeling through co-simulation, integrating microscopic and macroscopic levels of simulation. Arbor is a library optimized for efficient, scalable neural simulations by utilizing both GPU and CPU resources. It supports the simulation of both individual neurons and large-scale networks while maintaining detailed biophysical properties and morphological complexity. The workshop will feature presentations covering three key aspects: * *Effortless transition from NEURON to Arbor:* Beatriz Herrera will introduce the SONATA format, which simplifies the migration process and enables cross-simulator validation, ensuring a smooth transition to Arbor for researchers familiar with NEURON. * *Plasticity simulations with Arbor:* In two talks, Jannik Luboeinski and Felix Wolf will present Arbor’s capabilities in modeling calcium-based functional plasticity as well as calcium-based distance-dependent structural plasticity, providing insights into synaptic and structural changes. * *Multi-scale co-simulation with TVB:* Thanos Manos will demonstrate Arbor’s co-simulation capabilities with The Virtual Brain (TVB) platform, illustrating the study of epilepsy propagation as an example of multi-scale modeling. The workshop will conclude with an *interactive coding session*, offering participants hands-on experience with Arbor and an opportunity to apply the presented concepts. We look forward to meeting you at the workshop, where we expect fruitful exchange and interesting discussions! Best regards, Thorsten Hater, Han Lu, Jannik Luboeinski

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Full day tutorial on Multiscale Modeling with MOOSE at CNS*2025, July 5, 2025!
by MOOSE Neuro June 23, 2025

June 23, 2025

Dear all, We are pleased to announce a full-day hands-on tutorial on *Multiscale Modeling with MOOSE *at CNS*2025! *Saturday, July 5, 2025, 09:00 - 16:00 CEST, Belvedere room* The objective of this tutorial is to familiarize participants with MOOSE ( https://mooseneuro.github.io/) a comprehensive simulation platform designed for computational modeling in neuroscience and systems biology. In addition to tutorials on biophysical and biochemical models, we shall showcase new features of MOOSE, including *jardesigner, *a new web-based frontend for multiscale modeling. We will illustrate the use of *jardesigner *and MOOSE to build and run spiking neuron models incorporating chemical signaling for neuromodulation and synaptic plasticity on spines. Prerequisites - Some familiarity with basic Python programming and common system commands to run programs from the command-line is expected. - As most of the topics will be hands-on, participants should bring their laptops. - Participants must have a Python environment installed on their laptops. - Participants are encouraged to create a Python environment as described in MOOSE installation instructions: https://github.com/MooseNeuro/moose-core/blob/development/docs/source/insta… *Speakers:* Dr. Subhasis Ray, Prof. Upinder S. Bhalla, Dr. Bhanu Priya S Tentative Schedule 09:00 - 09:40 Multiple Scales in Neuroscience, Upinder S. Bhalla 09:40 - 10:10 Overview of MOOSE, Subhasis Ray 10:10 - 10:40 Coffee Break 10:40 - 11:25 Setting up the software environment, Bhanu Priya S and Subhasis Ray 11:25 - 12:10 Abstract neuron models, Bhanu Priya S 12:10 - 14:00 Lunch Break 14:00 - 14:45 Biophysical neuron model with ion channels, Subhasis Ray 14:45 - 15:30 Modeling biochemical systems, Upinder S. Bhalla 15:30 - 16:00 Coffee Break 16:00 - 17:00 Multiscale modelling and Jardesigner, Upinder S. Bhalla 17:00 - 17:20 Discussion You can save this schedule to your calendar via CNS*2025 Florence: Multiscale modeling with MOOSE <https://cns2025florence.sched.com/event/25kRo/multiscale-modeling-with-moose> We will also present a poster on "*Developments around MOOSE for modeling in Systems Biology and Neuroscience*" on July 8th, 2025. More details can be found here: CNS*2025 Florence: P252: Developments around MOOSE for mode... <https://cns2025florence.sched.com/event/24uTo/p252-developments-around-moos…> Please feel free to share this announcement with anyone who might be interested. Best regards, Parita Mehta Community Manager for MOOSE *On behalf of the MOOSE Team* GitHub: MooseNeuro <https://github.com/MooseNeuro/> Official website: *https://mooseneuro.github.io/ <https://mooseneuro.github.io/> * LinkedIn: *MOOSE Neuro Simulator | LinkedIn <https://www.linkedin.com/in/moose-neuro-simulator-064088315/>* X: *MOOSE Neuro Simulator (@mooseneurosim) / X <https://x.com/mooseneurosim>* Bluesky Social: MOOSE Neuro Simulator <https://bsky.app/profile/moosesim.bsky.social>

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Neurobridge CNS*2025 Satellite Symposium 'Neural Population Dynamics and Latent Representations'
by Eleonora Russo June 23, 2025

June 23, 2025

Dear all, We are pleased to invite you to the NEUROBRIDGE CNS*2025 Satellite Symposium on Neural Population Dynamics and Latent Representations. In recent years, the study of neural population dynamics has gained growing traction in systems and computational neuroscience, offering a principled framework to link single-neuron activity with behaviorally relevant computation. During the symposium, we will discuss recent machine learning and theoretical advances for analyzing population-level activity and explore how emergent network properties can reveal mechanistic principles of cognition and behavior, with translational implications for clinical neuroscience. Confirmed speakers: * Lorenzo Gaetano Amato – Sant'Anna School of Advanced Studies, Pisa, IT * Demian Battaglia – University of Strasbourg, FR * Daniel Durstewitz – Central Institute for Mental Health, Mannheim, DE * Tatiana A. Engel – Princeton University, Princeton, USA * Sean Froudist-Walsh – University of Bristol, Bristol, UK * Matthieu Gilson – Institut des Neurosciences, Marseille, FR * Maurizio Mattia – Istituto Superiore di Sanità, Rome, IT * Leonardo Pollina – EPFL, Lausanne, CH * Sara Solla – Northwestern University, Evanston, USA The full-day symposium will take place on July 10th in the 📍 Aula Magna at the Scuola Superiore Sant’Anna, Piazza Martiri della Libertà 33, Pisa. Registration for the symposium is free of charge, but seats are limited! For more information and to register, please visit: 👉 https://neurobridge-tne.github.io/ The event will also be streamed online; the link will be available on the symposium website. Please feel free to share this announcement with anyone who might be interested. Best regards, The organisers, Eleonora Russo, Jacopo Carpaneto, Alberto Mazzoni, Nicolò Meneghetti, Silvestro Micera, Calogero Maria Oddo, Solaiman Shokur. --------------------------------------------------------------------------------------------------------------------- Eleonora Russo, Ph.D. PI of the Brain Dynamics Laboratory TT Assistant Professor at Sant’Anna School of Advanced Studies, The BioRobotics Institute, P.za Martiri della Liberta', 33 56127 Pisa, Italy

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Associate Professor Position in Australia - Monash University
by Elizabeth Zavitz June 23, 2025

June 23, 2025

Dear colleagues, Please find below an advertisement for an Associate Professor position in the Department of Electrical and Computer Systems Engineering at Monash University, Melbourne, Australia. Monash Careers – Associate Professor <https://careers.pageuppeople.com/513/cw/en/job/678997/associate-professor-e…> In this role, you will play a key part in shaping the next generation of engineers. You’ll engage with students through dynamic teaching, mentor future leaders, and collaborate with passionate colleagues to deliver cutting-edge courses. Your expertise will complement our strengths in control systems, wireless technology, signal processing, robotics and AI—driving real-world solutions in electronics, RF, sensors, energy systems, and computing. You’ll also lead impactful research that addresses global challenges, with the support of a collaborative and inclusive research culture. The application deadline is September 14th, 2025, 11:55 pm AEST. Please feel free to share this opportunity with interested colleagues. For any inquiries, do not hesitate to reach out. Liz -- Elizabeth Zavitz, PhD Electrical and Computer Systems Engineering 233 14 Alliance Lane (Bldg 72) Monash University Clayton, VIC 3800 Australia

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World wide VVTNS series- fifth season closing lecture: Wednesday, June 25, 2025, at 11:00 am EDT| Sebastian Seung , Princeton Neuroscience Institute
by David Hansel June 22, 2025

June 22, 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 *VTNS Fifth Season Closing Lecture *that will be delivered by Sebastian Seung, Princeton Neuroscience Institute on the topic Insights into vision from interpreting a neuronal wiring diagram The lecture will be held on zoom on Wednesday, June 25, 2025, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *In 2023, the FlyWire Consortium released the neuronal wiring diagram of an adult fly brain. This contains as a corollary the first complete wiring diagram of a visual system, which has been used to identify all 200+ cell types that are intrinsic to the Drosophila optic lobe. About half of these cell types were previously unknown, and less than 20% have ever been recorded by a physiologist. I will argue that plausible functions for many cell types can be guessed by interpreting the wiring diagram. *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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Advances in Intelligent Systems, Technologies and Applications
by Barna Iantovics June 19, 2025

June 19, 2025

Call for papersSpecial Issue: Advances in Intelligent Systems, Technologies and ApplicationsJournal: Applied Sciences (ISSN 2076-3417) Impact Factor 2.5Submission https://www.mdpi.com/journal/applsci/special_issues/5IQ6DOHB42 Dear Colleague, You are kindly invited to contribute with a paper to the Special Issue. Intelligence in nature is very diverse; it can be discussed in terms of the intelligence of chimps, dolphins, and many other animals and even the collective intelligence of very simple life forms such as ants. The concept of intelligence is being adopted in many domains of science. From practical and theoretical perspectives, an essential current research direction that is under examination by a very large number of scientists worldwide is the development of artificial systems, also called agent-based systems, which can be either individual agents or cooperative multiagent systems. These systems are embedded in the environment, possess a certain degree of autonomy, and are capable of perceiving the environment and executing actions in it. Intelligence in agent-based systems can emerge through advanced problem-solving abilities. To develop these intelligent systems, techniques such as supervised learning and unsupervised learning play pivotal roles. Supervised learning involves training systems on labeled datasets, enabling them to map inputs to outputs and improve their predictions or classifications over time. These methods are extensively used in applications such as image recognition, natural language processing, and medical diagnosis. On the other hand, unsupervised learning enables systems to identify patterns and structures in unlabeled data, facilitating clustering, anomaly detection, and exploratory data analysis. A more recent paradigm, retrieval-augmented generation (RAG) and cache-augmented generation (CAG), combines retrieval- and cache-based methods with generative models to enhance intelligent systems, producing highly contextualized and accurate responses or actions. These approaches are instrumental in developing advanced systems for domains such as conversational AI, knowledge management, and decision support. Intelligent agent-based systems have many real-world applications, including the health sciences and industry. The number and diversity of intelligent systems are increasing rapidly. In this context, the great challenge consists of creating increasingly intelligent systems. Another critical challenge, approached by only a few researchers worldwide, is the development of universal metrics, including black-box-based intelligence metrics, to measure the intelligence of these systems. Such advances could allow for the comparison of systems based on their intelligence. In cooperative multiagent systems, intelligence can be assessed at the system level; this is known as collective intelligence. Even in very simple cooperative multiagent systems, agents may interact nonlinearly at various decision points, resulting in emergent complexity and intelligence at the system level. This Special Issue aims to establish a solid foundation for future research through a collection of papers that advance the field by elaborating on theories, designing applications, and presenting surveys regarding the next generation of increasingly intelligent systems. The areas of research covered in these papers could include the study of self-organization, emergence, hybridization, scalability, robustness, measuring machine intelligence, and the integration of advanced paradigms such as supervised learning, unsupervised learning, retrieval-augmented generation, and cache-augmented generation. Kind regards,Guest EditorsProf. Dr. Laszlo Barna IantovicsProf. Dr. László KovácsDr. Attila Biró

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Special Issue: Computational biomimetics methods in drug design: Theory, Applications, and Future Directions
by Barna Iantovics June 19, 2025

June 19, 2025

Call for papers Special Issue: Computationalbiomimetics methods in drug design: Theory, Applications, and Future DirectionsJournal: Biomimetics(ISSN 2313-7673). Impact Factor 3.9Submission https://www.mdpi.com/journal/applsci/special_issues/5IQ6DOHB42 Dear Colleague, Computational biomimetics (CB) methodsdeveloped in the frame of artificial intelligence (AI) and machine learning(ML) are rapidly evolving technologies that are transforming variousindustries. CB enables machines/systems to exhibit human-like intelligence,offering these machines many opportunities to learn from experience. ThisSpecial Issue aims to explore the theoretical foundations, broad range ofapplications, and future directions of CB. Theoretical research can includeideas such as new algorithms and optimization techniques, while applicationscan range from drug design to discovery. Additionally, topics on ethics andsecurity aim to enhance societal impact and the reliability of CB drug designand discovery. This Special Issue seeks to uncover the potential andlimitations of CB, encouraging innovative research and applications in thefield of interest. The purpose of this Special Issue isto discuss recent advancements and innovative applications in the fields ofcomputational biomimetics. With a broad scope, it will cover the application ofCB across various disciplines related to drug discovery and design. Kind regards,Prof. dr. habil. Laszlo BarnaIantovicsAssociate Prof. dr. Fatih OzyurtAssociate Prof. dr. Aleš Zamuda

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2025-2026 Shanahan Postbac/Undergraduate fellowship at the Allen Institute and University of Washington
by Anton Arkhipov June 18, 2025

June 18, 2025

Dear Colleagues, An exciting opportunity is available for pre-doctoral researchers to work at the interface of data and neuroscience: the 2025-2026 Shanahan Postbac/Undergraduate fellowship at the Allen Institute and University of Washington Computational Neuroscience Center. These roles are open to both current undergraduate and post-baccalaureate students. Student fellows will be mentored by a current Shanahan Fellow, and they will gain hands-on research experience in neural computation, neural networks, and computational modeling/method development. Students will join a vibrant interdisciplinary research community with the opportunity to work with researchers at all levels at University of Washington and Allen Institute. Project descriptions and application link: https://compneuro.washington.edu/training-programs/shanahan-undergraduate-a… Multiple projects are available. If you are interested in bio-realistic simulations of brain circuits, apply for the project with Maria Tikhanovskaya. Best regards, Anton. 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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EBRAINS-Italy training -- BRAin Dynamics AcademY
by Sergio Solinas June 18, 2025

June 18, 2025

*Apologies for cross-posting* * ERRATA CORRIGE of website link* [All details about this training activity can be found online at BRANDY <http://brandy.ebrains-italy.eu/> [https://brandy.ebrains-italy.eu] DEADLINE for EARLY registration 5th of JULY 2025 REGISTRATION fee 200 euro inclusive of lodging and meals. We are excited to announce the EBRAINS-Italy training "BRAin Dynamics AcademY BRANDY" 4-11 September 2025 AlaBirdi - Oristano (ITALY). The training activity will enrol a maximum of 30 students. *Register at this* LINK <https://docs.google.com/forms/d/e/1FAIpQLSdAo7DIgc0rcqPNyocb0pQ27FvfLmbv3wo…> *and upload a short CV and a short motivation letter* School speakers: - Nicolas Brunel University Bocconi (ITALY) - Stefano Ferraina University La Sapienza Rome (ITALY) - Alberto Mazzoni School of Advanced Studies Pisa (ITALY) - Rosanna Migliore CNR IBF Palermo (ITALY) - Mitchell Goldfarb Hunter College NY (USA) - Maurizio Mattia Istituto Superiore di Sanità (ITALY) - Chiara Bartolozzi Italian Institute of Technology (ITALY) - Huifang Wang AIX Marsellie University (FRANCE) - Addolorata Marasco University of Naples (ITALY) - Giovanni Pezzulo University of Pisa (ITALY) - Luca Bologna CNR IBF Palermo (ITALY) - Cosimo Lupo INFN Rome (ITALY) - Gianvito Urgese Politecnico di Torino Turin (ITALY) We will train attendees on advanced experimental methods and electrophysiological data, with a focus on their application in building computational models of single neurons and neuronal networks. We welcome applications from PhD students and Postdoctoral Researchers in a variety of fields, including biology, neurobiology, psychology, physics, engineering, mathematics, and industry professionals with a relevant background. Applicants are expected to have a strong academic background in their discipline, a demonstrated interest in neuroscience, and at least a basic familiarity with computer programming. We will soon post updates about the training organisation. Format: Morning lectures will be complemented with Afternoon Hands-on sessions. Date and Location: September 4th to September 11th, 2025 at the Horse Country Resort Alabirdi - Oristano, Sardinia (ITALY) <https://www.horsecountry.it/en/> Application Deadline: 5 July 2025 Applications: Please visit BRANDY <https://brandy.ebrains-italy.eu/> (corrected link) where you can find more information regarding costs, travel, and lodging. If you have any questions about the school or the application process, please contact smgsolinas(a)uniss.it We look forward to your registration and to welcoming you to the BRAin Dynamics AcademY BRANDY! Best regards, EBRAINS-Italy Training Activity Organizers - Sergio Solinas University of Sassari (ITALY) - Jonathan Mapelli University of Modena and Reggio Emilia (ITALY) - Daniela Gandolfi University of Modena and Reggio Emilia (ITALY) - Paolo Enrico University of Sassari (ITALY) Best regards, Sergio MG Solinas Dip. di Scienze Biomediche Università di Sassari Viale San Pietro 23 07100 - Sassari

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Call for Participation: International Artificial Intelligence Summer School – IAISS 2025, Sept 21-25, Riva del Sole Resort & SPA @ Tuscany * Early Registration: by June 23 *
by IAISS Organizing Committee June 18, 2025

June 18, 2025

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * IAISS2025, A Residential Summer School in AI & Generative AI for Science and Engineering IAISS 2025 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. Riva del Sole Resort & SPA @ Tuscany, Italy, Sept 21-25, 2025 https://2025.iaiss.cc iaiss(a)icas.cc REGISTRATION: by June 23 (AoE) https://2025.iaiss.cc/registration/ Oral Presentation Submission Deadline: by June 23 (AoE) Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk. Abstract must be submitted by June 23 during the registration process. LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. *Yuki Asano, University of Technology Nuremberg, GermanyPierre Baldi, University of California, Irvine, CA,USALucas Beyer, OpenAI, Zürich, SwitzerlandWessel Bruinsma, Microsoft Research Amsterdam, The NetherlandsSam Buchanan, Toyota Technological Institute at Chicago, USAFloris Geerts, University of Antwerp, BelgiumSven Giesselbach, Fraunhofer Institute - IAIS & Telecom SystemsVicky Kalogeiton, Ecole Polytechnique Paris, FranceThomas Kipf, Google DeepMind, USAYi Ma, University of California, Berkeley, USAQing Qu, University of Michigan, USAAbigail See, Google DeepMind, London, UKMichal Valko, Meta Paris, FranceYaodong Yu, OpenAI, USADaniel Zügner, Microsoft Research Berlin, Germany * TUTORIAL SPEAKERS: *Druv Pai, University of California, Berkeley, USA* https://2025.iaiss.cc/lecturers/ https://2025.iaiss.cc/lectures/ VENUE: https://2025.iaiss.cc/venue/ Riva del Sole Resort & SPA Località Riva del Sole‚ Castiglione della Pescaia (Grosseto) CAP 58043‚ Tuscany‚ Italy p: +39-0564-928111 e: booking.events(a)rivadelsole.it w: https://www.rivadelsole.it/en/ REGISTRATION: https://2025.iaiss.cc/registration/ CERTIFICATE & 8 ECTS: The International Artificial Intelligence Summer School – IAISS 2025 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the IAISS attendants. The Summer School will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Summer School. Language: English. To participate in the IAISS 2025, all attendants must (1/2) register for the school (by June 23, 2025) and (2/2) book accommodation at the school venue, “Riva del Sole Resort & SPA” (by July 23, 2025); all attendants must stay at the “Riva del Sole Resort & SPA”. Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the IAISS organizing committee (iaiss(a)icas.cc) IAISS is a residential school, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events(a)rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use. IAISS is organized as a non-profit scientific event. Please note that only IAISS registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the IAISS Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking. Anyone interested in participating in IAISS 2025 should register as soon as possible: https://2025.iaiss.cc/registration/ See you in Riva del Sole in September! IAISS 2025 Organizing Committees. https://2025.iaiss.cc iaiss(a)icas.cc Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2025.iaiss.cc <https://2025.iaiss.cc> the News Section: https://2025.iaiss.cc/category/news/ <https://2025.iaiss.cc/category/news/> and the FAQ: https://2025.iaiss.cc/faq/ * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *

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PhD position in Sensory Neurotechnology
by Reichenbach, Tobias June 18, 2025

June 18, 2025

Dear all, I am excited to announce an opening for a PhD position at the Chair for Sensory Neuroengineering, Department Artificial Intelligence in Biomedical Engineering at FAU in Germany. The PhD student will work on an innovative project in the neurobiology of communication. The project will investigate neurobiological mechanisms and electrophysiological markers of speech comprehension. The PhD student will therefore develop and employ EEG hyperscanning, in which the neural activity of several subjects engaged in a conversation will be measured simultaneously. They will furthermore develop AI algorithms to analyse the obtained data. The results will contribute to better customization and real-time adaptation of hearing aids to their wearers. FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for industry. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. More information is available here: https://www.neurotech.tf.fau.eu/phd-position-in-sensory-neurotechnology/ With best regards ------------------------------------------- Prof. Dr. Tobias Reichenbach Chair of Sensory Neurotechnology Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nürnberg Nürnberger Strasse 74 91052 Erlangen https://www.neurotech.tf.fau.eu/

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Thinking About Thinking: Call for web designer to join our team
by Ruairidh Battleday June 17, 2025

June 17, 2025

Dear all, We are looking for a web designer to join our wonderful design team, and help build the online platform for these activities. That person would liaise with our head of design, two content designers, web developer, and webmaster. Thinking About Thinking <http://www.thinkingaboutthinking.org/> is a 501(c)3 non-profit organization that aims to cultivate and spread new computational ideas about intelligence in an open-access manner. We run Summits <http://www.algopreneurship.ai/> on Open Problems for AI and an annual conference on the Mathematics of Neuroscience and AI <http://www.neuromonster.org/>, and will soon be launching a range of online material to complement the in-person events. We are looking for someone with good experience in website design (e.g., Squarespace) that is passionate about and currently studying a degree related to intelligence (or has done in the past). This is a great organization to blend your academic and professional interests, in this case in design! If you are interested, or know someone that might be, please do let us know, including your resume and samples of past work. This will be a very fun role, working with enthusiastic volunteers and junior researchers to build a globally recognizable brand. The position would be paid, at $30 per hour on an hourly basis, with an expected time commitment of 1 hour per week on average. We look forward to hearing from you! Ruairidh and the team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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CNS*2025 workshop 'Linking structure, dynamics and function in neuronal networks'- July 8-9, Florence, Italy
by Wilhelm Braun June 17, 2025

June 17, 2025

Dear Colleagues, We are excited to announce the workshop Linking structure, dynamics and function in neuronal networks: old challenges and new directions at CNS*2025 on the mornings of July 8 and 9 in Florence, Italy. This workshop provides a platform to discuss possible approaches for integrating the fundamental aspects of structure, dynamics, and function. In particular, the workshop aims to identify the properties of neural networks that make them suitable models for neural computation. Additionally, it seeks to define a minimal set of features leading to functional neural networks, thereby addressing conserved evolutionary principles. Details about the program can be found on our workshop homepage: https://sites.google.com/view/cns2025workshop-strudynfun/ Below is the list of confirmed speakers: Gorka Zamora-Lopez Mariia Popova Douglas Zhou Friedrich Schuessler Petra Vertes Lidia Ripoll-Sánchez Anna Levina Katharina Wilmes Leo Agueci Agostina Palmigiano Melika Payvand The workshop will conclude with a panel discussion moderated by Claus C. Hilgetag. We are looking forward to seeing you soon in Florence! Best wishes from Kiel, Cambridge and Hamburg Wilhelm Braun, Kayson Fakhar and Claus C. Hilgetag --- Wilhelm Braun Junior Research Group Leader CAU Kiel, Faculty of Engineering Department of Electrical and Information Engineering Nanoelectronics Guest Research Associate, UKE Hamburg Web: wilhelmbraun.github.io

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CNS*2025 Workshop "Mechanisms for Oscillatory Neural Synchrony"
by Canavier, Carmen C. June 17, 2025

June 17, 2025

Dear Colleagues, We are excited to announce the upcoming CNS*2025 Workshop "Mechanisms for Oscillatory Neural Synchrony", to be held on Tuesday, July 8, 2025, in Florence, Italy. https://www.medschool.lsuhsc.edu/cell_biology/cns_2025.aspx This workshop will bring together researchers who have recently published on synchronization networks of coupled oscillators, with an emphasis on phase response curve (PRC) theory. Carmen Canavier: A Mean Field Theory for Pulse-Coupled Oscillators based on the Spike Time Response Curve ; LSU Health Sciences Center New Orleans Joshua A Goldberg: Empirical study of dendritic integration and entrainment of basal ganglia pacemakers using phase response curves; Hebrew University of Jerusalem Dimitri M Kullmann: Phase response curves in the hippocampus and cerebellar cortex; University College London Hermann Riecke: Paradoxical phase response of gamma rhythms facilitates their entrainment in heterogeneous networks; Northwestern University Yangyang Wang: Variational and phase response analysis for limit cycles with hard boundaries, with applications to neuromechanical control problems; Brandeis University Brandon Williams Fast spiking interneurons generate high frequency gamma oscillations in the medial entorhinal cortex; Boston University

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CNS*2025 Workshop "Modeling extracellular potentials: principles, methods, and applications" – Speaker Lineup and Schedule
by Nicolo Meneghetti June 17, 2025

June 17, 2025

Dear Colleagues, We are pleased to announce the CNS*2025 Workshop “Modeling extracellular potentials: principles, methods, and applications” which will take place on Wednesday, July 9, 2025, in Florence, Italy. Simulating large-scale neural activity is a key step in understanding brain dynamics and in linking in silico models to experimentally measurable signals such as LFP, EEG, and MEG. These simulations, ranging from detailed biophysical reconstructions to simplified proxies, enable us to connect microscale neuronal activity with meso- and macro-scale brain signals. They offer powerful tools to interpret experimental data, refine analytical techniques, and investigate brain function. Recent developments have underscored the clinical and theoretical relevance of such models, helping to elucidate mechanisms underlying neural oscillations, excitation-inhibition balance, and biomarkers of neurological disorders including epilepsy, Alzheimer’s disease, and Parkinson’s disease. This workshop will showcase state-of-the-art methodologies, and a wide array of applications for brain signals simulation. By bringing together experts from diverse fields, it aims to foster interdisciplinary exchange and advance our understanding of both healthy and disordered brain function. Abstracts of all talks are available on the workshop website: https://nicolomeneghetti.github.io/ECP_CNS2025_Wshop/ Workshop program: 09:15 – 09:50 | Dominik Peter Koller, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Berlin, Germany Title: "How structural connectivity directs cortical traveling waves and shapes frequency gradients" 09:50 – 10:25 | Gaute T. Einevoll, Department of Physics, University of Oslo, Oslo, Norway Title: "Modeling electric brain signals and stimulation" 10:30 – 11:00 | Coffee Break 11:00 – 11:35 | Johanna Senk, Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany Title: "Large-scale modeling of mesoscopic networks at single-neuron resolution" 11:35 – 12:10 | Pablo Martínez Cañada, Research Centre for Information and Communications Technologies (CITIC), University of Granada, Granada Title: "Inverse Modelling of Field Potentials from Simulations of Spiking Network Models: Applications in Neuroscience Research and Clinical Settings" 12:10 – 12:40 | Nicolò Meneghetti, The Biorobotics Institute, Sant’Anna School of Advanced Studies, Pisa, Italy Title: "From microcircuits to mesoscopic signals: a kernel approach to efficient and interpretable LFP estimation" 12:45 - 14.00 | Lunch Break 14:15 – 14:50 | Emily Patricia Stephen, Department of Math and Statistics, Boston University, Boston, MA, United States of America Title: "Connecting biophysical models to empirical power spectra using Filtered Point Processes" 14:50 - 15:25 | Madeleine Lowery, School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland Title: "Modelling Neural Activity During Adaptive Deep Brain Stimulation for Parkinson’s Disease" 15:30 - 16:00 | Coffee Break 16:00 – 16:35 | Meysam Hashemi, Aix Marseille University INSERM, INS, Institute for Systems Neuroscience, Marseille, France Title: "Principles and Operation of Virtual Brain Twins" 16:35 - 17:10 | Katharina Duecker, Brown University and University of Birmingham, USA/UK Title: "The Human Neocortical Neurosolver as an interactive modeling tool to study the multi-scale mechanisms of human EEG/MEG signals" We look forward to your participation in what is shaping up to be a lively and insightful workshop. With best regards, Nicolò Meneghetti and Eleonora Russo

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