- Comp-neuro - lists.cnsorg.org

New Postdoctoral Opening - Neuroimaging and Precision Psychiatry at Stanford University
by Amritha Harikumar Nov. 11, 2026

Nov. 11, 2026

Dear Colleagues, The Supekar Lab at Stanford University is recruiting a Postdoctoral Scholar to join two NIH funded projects focused on autism, psychosis risk, neuroimaging, computational psychiatry, and precision medicine. We are seeking highly motivated researchers with expertise in systems neuroscience, neuroimaging, machine learning, translational psychiatry, or related fields. This position offers an exciting opportunity to tackle critical questions about brain-behavior relationships, uncover circuit mechanisms underlying neuropsychiatric heterogeneity, and advance data-driven approaches to predicting individual clinical trajectories. The successful candidate will benefit from a collaborative multidisciplinary research environment, dedicated mentorship, and support for scientific independence and long-term career development. Interested in joining us? Please submit a single PDF containing a cover letter, CV, contact information for three references, and up to three representative publications or preprints. Applications should be emailed to supekarlab(a)stanford.edu with the subject line "Postdoctoral Scholar." Learn more about the position: https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-p… Applications will be reviewed on a rolling basis until the position is filled. We welcome inquiries from prospective candidates and encourage you to share this opportunity with outstanding candidates who may be a good fit. Sincerely, The Supekar Lab Stanford University Amritha Harikumar, PhD Supekar Lab | Stanford University Affiliate | Georgia State University Department of Psychiatry and Behavioral Sciences

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Dec 18 - Second UK Theoretical Neuroscience Workshop
by Dimitris Pinotsis Nov. 11, 2026

Nov. 11, 2026

We are pleased to announce the *second UK Theoretical Neuroscience Workshop*, taking place at *City St George’s, University of London*, on *Friday, 18 December 2026*. The workshop will bring together researchers and students working in theoretical, mathematical, and computational neuroscience and psychiatry for a day of invited *talks, poster presentations,* and *discussion*. [image: 📍] *Venue:* City St George’s, University of London [image: 📅] *Date:* Friday, 18 December 2026 [image: 🕘] *Time:* 09:00–17:30 [image: 💡] *Programme:* Invited talks, poster sessions, discussions, and a *poster award* Invited speakers include researchers from UCL, Oxford, Warwick, Nottingham, Birmingham, and Edinburgh, covering topics across neural dynamics, learning, network modelling, motor control, functional connectomics, temporal inference, and related areas. Further information, including the programme and abstracts, is available Here <https://dpinotsis.wixsite.com/uk-theoretical-neuro> Please feel free to circulate this announcement among interested colleagues and students. Best wishes, UK Theoretical Neuroscience Workshop Organisers Professor Steve Coombes Dr Dimitrios Pinotsis

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School on Brain Dynamics
by kaliannybezerra＠ictp-saifr.org Nov. 11, 2026

Nov. 11, 2026

Brain dynamics underlies brain function in neural information processing and computation, from single neurons processing synaptic inputs to large-scale neuronal circuits integrating information. A central goal in theoretical neuroscience, and the focus of this school, is to unravel the fundamental mechanisms of exactly how dynamics subserves function – e.g., how neural circuits perform computations, implement memory – and how this is disrupted in brain disorders. The first week of the school will introduce students to the principles of brain dynamics and mathematical models that have been used to describe them, while the second week will explore recent key advances that have applied these principles to understand brain dynamics and behavior. The goal of the school is to provide students from South America with the tools to face key challenges in theoretical neuroscience by providing them with fundamental theory and techniques from dynamical systems theory, biological and artificial neural systems, as well as examples of state-of-the-art research, and connecting them to international researchers who have been developing key work in the area. The school is aimed at Master’s and PhD students from physics, mathematics, engineering, and biological sciences who are working or would like to work in neuroscience projects. Highly motivated students at the end of their undergraduate studies and postdoctoral researchers are also welcome to apply. To foster exchange and discussions, we strongly encourage participants to submit an abstract for a poster presentation. When? March 15 – 26, 2027 Where? ICTP-SAIFR, São Paulo, Brazil | IFT-UNESP Auditorium Lecturers: Aneta Koseska (Max Planck Institute for Neurobiology of Behavior, Germany) – Cellular Computations and Learning Bard Ermentrout (University of Pittsburgh, USA) – Nonlinear dynamics in neuroscience Elif Koksal (Inria Lyon Centre, France) – Dynamical systems theory Mauro Copelli (Federal University of Pernambuco, Brazil) – Criticality in neural circuits Rubén Moreno Bote (University Pompeu Fabra, Spain) – Artificial neural networks Xiao-Jing Wang (New York University, USA) – Dynamics of cognitive processes More information: https://www.ictp-saifr.org/sbd2027/

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Postdoctoral Researcher - Developing Cortical Networks - UMN
by Gordon Smith Nov. 11, 2026

Nov. 11, 2026

*Postdoctoral Researcher – In Vivo Imaging and Electrophysiology of Developing Cortical Networks* *Smith Lab – University of Minnesota, Minneapolis, MN* Before the cortex can process sensory information, its circuits must first organize themselves. The Smith Lab at the University of Minnesota studies how this happens. We have found that distributed, modular networks with millimeter-scale correlations exist throughout the developing neocortex, and using *in vivo* optogenetics and computational modeling, we have shown that these networks are self-organizing and depend on local intracortical circuitry. We are now asking how early network activity shapes the circuits that emerge: by imaging, recording, and perturbing activity *in vivo* during development, and comparing the results against models of network self-organization. The postdoc will lead projects combining two-photon imaging, optogenetics, and electrophysiology in the developing cortex, with the opportunity to shape the direction of their own work. *Recent work:* Mulholland, et al. bioRxiv, 2026 <https://www.biorxiv.org/content/10.64898/2026.03.31.715687v1> · Powell, et al. PNAS 2024 <https://doi.org/10.1073/pnas.2313743121> · Lab website: smithneurolab.org <https://www.smithneurolab.org/> *For more details, including how to apply please see:* https://www.smithneurolab.org/positions/postdoc-2026 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 -- 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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Single Unit Studies of Human Intelligence (SUSHI) Symposium 2027
by Daniel Bush Nov. 10, 2026

Nov. 10, 2026

Dear Colleagues, We wish to invite you to attend the SUSHI (Single Unit Studies of Human Intelligence) symposium, a two-day satellite event taking place in Glasgow immediately before the 7th International Conference on Memory (ICOM-7<https://icom-memory.org/>) next year. SUSHI will bring together leading laboratories using human intracranial single-neuron recordings to investigate learning, memory, and higher-order cognition. The symposium is intended as a focused forum for discussing recent advances, emerging methods, and future directions in the study of human single-neuron activity. The programme will consist exclusively of short talks from leading researchers in the field, designed to maximise scientific exchange and discussion. The symposium will be organised around two broad themes: Day 1 - Episodic memory, spatial cognition, and the hippocampus Day 2 - Speech and language, auditory cognition, and the neocortex For those interested in only one of these themes, single-day registration options will be available. We hope that SUSHI will provide a unique opportunity for researchers working with human single-unit recordings to exchange ideas in an intimate setting before joining the broader memory science community at ICOM-7. Further details, including registration information and the scientific programme, can be found on the symposium website here<https://sushi2027.github.io/>. You can sign up to receive further updates via the mailing list here<https://forms.gle/ywq5EFDK3cBckFaY7>. We would be delighted if you could join us in Glasgow, and grateful if you could share this invitation with any interested parties. With best wishes, Daniel Bush & Simon Hanslmayr On behalf of the SUSHI 2027 Organising Committee ---------------------------------------------------- Dr. Daniel Bush GM01, Medical Sciences Building, Gower Street, London, WC1E 6BT Associate Professor, UCL Department of Neuroscience, Physiology and Pharmacology<https://www.ucl.ac.uk/npp/> Principal Investigator, UCL Human Electrophysiology Lab<https://bushlab-ucl.github.io/> Co-director, UCL Centre for Neuro-AI<https://www.ucl.ac.uk/life-sciences/neuroai> Section Editor, PLoS Computational Biology<https://journals.plos.org/ploscompbiol/>

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[First CFP] ISCS 2027 | 7th International Symposium on Complex Systems | June 2-4, 2027 | Porto, Portugal
by MOHAMMED EL HASSOUNI Nov. 10, 2026

Nov. 10, 2026

Dear colleagues, We are pleased to announce the First Call for Papers for ISCS 2027, the 7th International Symposium on Complex Systems, which will take place in Porto, Portugal, from June 2 to 4, 2027. ISCS 2027, formerly FRCCS, brings together the international scientific community working on complex systems across disciplines. The symposium welcomes methodological contributions, interdisciplinary research, industrial developments, and innovative applications addressing major scientific and societal challenges. The submission deadline is March 1, 2027. The ISCS 2027 keynote speakers will be announced at a later date. Updates will be published on the conference website. Please find the complete Call for Papers below. We would be grateful if you could share this announcement with interested colleagues, research groups, laboratories, students, and scientific networks. We look forward to receiving your contributions and welcoming you to Porto. Best regards, The ISCS 2027 Organizing Committee Conference website: https://iutdijon.u-bourgogne.fr/ccs-france/ ________________________________ FIRST CALL FOR PAPERS ISCS 2027 7th International Symposium on Complex Systems Dates: June 2-4, 2027 Location: Porto, Portugal Submission deadline: March 1, 2027 ISCS 2027, formerly FRCCS, aims to bring together the global scientific community working on complex systems. Researchers from archaeology, biology, computer science, economics, geography, history, linguistics, management, mathematics, medicine, physics, statistics, sociology, and related fields are invited to contribute to truly interdisciplinary exchanges. ISCS 2027 provides a forum for presenting recent research, methodological advances, industrial developments, and innovative applications in complexity science. Particular attention will be given to research addressing major scientific challenges and societal impact through the lens of complex systems. The symposium welcomes both methodological contributions and interdisciplinary applications. Important Dates * Submission deadline: March 1, 2027 * Acceptance notification: March 30, 2027 * Author registration: April 19, 2027 * Conference: June 2-4, 2027 Types of Contribution ISCS 2027 welcomes both completed and ongoing research through three types of contributions: 1. Long papers: 12 pages, presenting original work not previously published. 2. Short papers: 8 pages, presenting original work not previously published. 3. Extended abstracts: 2 to 4 pages, presenting published or unpublished research. Topics of Interest We welcome contributions from all areas of complex systems science, including, but not limited to: * Foundations of Complex Systems * Complex Networks and Graph Machine Learning * Computational Social Science and Digital Platforms * Data Science, Artificial Intelligence, and Simulation for Complex Systems * Biological and Biomedical Complex Systems * Neuroscience, Cognition, and Linguistics * Economic, Financial, and Innovation Systems * Urban Systems, Infrastructure, and Sustainability * Socio-Ecological and Environmental Systems * Complex Systems in Physics, Chemistry, and Engineering Keynote Speakers The ISCS 2027 keynote speakers will be announced at a later date. Further announcements and regular updates will be published on the conference website: https://iutdijon.u-bourgogne.fr/ccs-france/ Submission Format Submissions must be: * written in English; * typeset in LaTeX; * prepared using the appropriate ISCS conference template. Long and Short Papers * Overleaf project<https://www.overleaf.com/read/hffpzbswjjpd> * LaTeX template<https://iutdijon.u-bourgogne.fr/ccs-france/wp-content/uploads/2024/07/FRCCS…> Extended Abstracts * Overleaf project<https://www.overleaf.com/read/jfsttvgcdncn/#3e96dc%20> * Extended abstract template<https://iutdijon.u-bourgogne.fr/ccs-france/wp-content/uploads/2026/02/ISCS_…> Submission Portal All contributions must be submitted electronically through Microsoft CMT: https://cmt3.research.microsoft.com/ISCS2027 Reviewing Process Each submitted contribution will be evaluated by at least two reviewers. The organizers will examine the reviews and make the final selection based on scientific quality, originality, relevance, clarity, and suitability for ISCS 2027. Publication * Accepted long and short papers will be published in the conference proceedings, subject to the final publication agreement. * Extended abstracts will appear in an ISBN-registered book of abstracts, subject to final confirmation. * Selected contributions may be invited to submit extended versions to journal special issues associated with ISCS 2027. Committees Advisory Board * Chantal Cherifi, DISP, Lyon * Hocine Cherifi, ICB, Dijon * Christophe Cruz, ICB, Dijon * Hamamache Kheddouci, LIRIS, Lyon * Benjamin Renoust, Median Technologies, Sophia Antipolis General Chairs * Nuno Silva, ISEP, Universidade Técnica do Porto * Cédric Wemmert, University of Strasbourg Program Chairs * Christophe Cruz, Université Bourgogne Europe * Hamamache Kheddouci, Université Lumière Lyon 2 Workshop Chairs * Maria Malek, ETIS, UMR 8051, CY Cergy Paris Université * Hocine Cherifi, Université Bourgogne Europe Publication Chair * Yoann Pigné, Université Le Havre Normandie Finance Chair * Benjamin Renoust, Median Technologies, Sophia Antipolis Award Chair * Jean-Loup Guillaume, La Rochelle Université Web Chair * Youssef Mourchid, LINEACT, CESI Publicity Chair * Mohammed El Hassouni, Mohammed V University in Rabat Program Committee To be announced. Further Information Conference website: https://iutdijon.u-bourgogne.fr/ccs-france/ Committees: https://iutdijon.u-bourgogne.fr/ccs-france/committees/ Please share this Call for Papers with interested colleagues, research groups, students, laboratories, professional networks, and relevant mailing lists. We look forward to receiving your contributions and welcoming you to Porto for ISCS 2027. The ISCS 2027 Organizing Committee 7th International Symposium on Complex Systems June 2-4, 2027 Porto, Portugal --------------------------------------------------------------------------- ????? ??????? ?????? ?????????: ??? ???????? ??? ?? ??? ????????? ???? ?????? ????????? ?? ??? ????? ?? ????? ?????? ????? ???. ??? ?? ??? ?????? ???? ???????? ???? ????? ?????? ????? ??????? ???? ???? ????? ?? ??????? ????????? ?? ?????. ?? ??????? ??? ???? ?? ?????. ?????? ??????? ?? ??? ??????? ?? ???? ?????? ??? ??? ???? ???????? ????? ?? ???? ????? ???? ?????? ???????. ??? ??????? ?? ??????? ??? ??? ????? ???????? ????? ??????? ?? ????? ?? ?????. ?? ????? ????? ???? ?????? ??????? ?? ??????? ?? ?? ????? ?? ????? ?? ???????. ???? ?????? ?????????? ??????? ????? ???? ????????? ??????? ??? ?????? ??????????. --------------------------------------------------------------------------- Avis de confidentialité, clause de non-responsabilité et avis de sécurité : Ce message, y compris ses pièces jointes, est confidentiel et destiné uniquement au destinataire prévu. Si vous n'êtes pas le destinataire, veuillez en informer l'expéditeur et supprimer toutes les copies. Toute utilisation non autorisée est interdite. Les opinions exprimées n'engagent que l'expéditeur et ne reflètent pas nécessairement la position de l'Université Mohammed V de Rabat. Ce message est à titre informatif uniquement et ne constitue pas un conseil professionnel. L'Université Mohammed V de Rabat décline toute responsabilité pour les erreurs ou altérations du message. Nous vous conseillons de prendre les précautions nécessaires pour sécuriser les informations transmises. --------------------------------------------------------------------------- Confidentiality notice, disclaimer, and security notice: This message, including any attachments, is confidential and intended solely for the recipient. If you are not the intended recipient, please notify the sender immediately and delete all copies from your system. Any unauthorized use is prohibited. The opinions expressed in this email are those of the sender and do not necessarily reflect the official position of Mohammed V University in Rabat. This message is for informational purposes only and should not be construed as legal, financial, or professional advice. Mohammed V University in Rabat does not accept any responsibility for errors or alterations to the message. We recommend taking the necessary precautions to ensure the security of the information transmitted via email.

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Frontier Series 2026 / Translational Neurocognitive Technologies
by Vasiliki Kondyli Nov. 9, 2026

Nov. 9, 2026

Dear all, I would like to invite you to the next talk in the Frontiers Series, featuring Dr. Sankaraleengam (Sankar) Alagapan (Georgia Institute of Technology, United States): Interpretability in Neurotechnology: Using Explainable AI to Identify Biomarkers in Deep Brain Stimulation Date: November 11, 2026 Time: 14:00 (Amsterdam, Berlin, Rome, Stockholm, Vienna) For talk details, the full schedule, and registration information, please visit: https://codesign-lab.org/frontier26/ We look forward to seeing you there! Best wishes, Vasiliki ================================ CoDesign Lab EU is inviting you to a scheduled Zoom meeting. Topic: CoDesign Lab EU / Frontier Series 2026: Dr. Sankaraleengam (Sankar) Alagapan Time: Nov 11, 2026 14:00 Amsterdam, Berlin, Rome, Stockholm, Vienna Join Zoom Meeting https://oru-se.zoom.us/j/67206344003?pwd=R6ohGrq35maFmIYTF4n3rbLHrS4aOI.1 Meeting agenda https://eu01docs.zoom.us/agenda/doc/18d18148-6b80-48bf-ac40-adf76021ecd6 Meeting ID: 672 0634 4003 Passcode: 849855 ================================ FRONTIER SERIES 2026 / TRANSLATIONAL NEUROCOGNITIVE TECHNOLOGIES / Cognitive Neuroscience. Responsible AI. Clinical Application. / Örebro University and Lund University (Sweden) present the Frontier 2026 Talk Series centralising the themes of next-generation responsible neurocognitive technologies and translational clinical neuroscience. The series brings together researchers from neuroscience, artificial intelligence, cognitive science, engineering, and data science to explore the mechanisms of brain function in health and disease. The series emphasises interdisciplinary methodologies linking neuroimaging, molecular neuroscience, systems neuroscience, computational cognitive modelling, computer science, and cognitive science to drive innovation and societal impact with ecologically valid diagnosis, monitoring, and intervention in real-world clinical contexts. Participation is free, and all interested are welcome. Special opportunities exist for student participants (refer below). Details / https://codesign-lab.org/frontier26/ SPEAKER PANEL > / Germany (Ernst Strüngmann Institute for Neuroscience. Heinrich-Heine-University. Hertie Institute - University of Tübingen. Research Center Jülich. Freie Universität Berlin) \ Netherlands (Universiteit Leiden) \ Poland (Jagiellonian University in Kraków) \ Singapore (National University of Singapore) \ Sweden (University of Gothenburg. Karolinska Institute. Lund University) \ Taiwan (National Yang Ming Chiao Tung University) \ United States (Columbia University Medical Center. Georgia Institute of Technology) In order of planned schedule during 2026: — Prof. Simon Eickhoff (Heinrich-Heine-University & Research Center Jülich, Germany) “Clinical Brain Medicine 2.0 – The ABCD-J Platform for Digital Biomarker Research and mHealth” — Dr. Sankaraleengam Alagapan (Georgia Institute of Technology, United States) “Interpretability in Neurotechnology: Using Explainable AI to Identify Biomarkers in Deep Brain Stimulation” — Prof. Juan (Helen) Zhou (National University of Singapore, Singapore) “Multimodal Neuroimaging in Neuropsychiatric Disorders” — Prof. Esther Kuehn (Hertie Institute for Clinical Brain Research, Germany) “Translational Applications of Layer-Specific Multimodal MRI for Aging and Neurodegeneration” — Prof. Michael Schöll (University of Gothenburg, Sweden) “Molecular Medicine, Neuroimaging and Biomarkers for Neurodegenerative Disease” — Prof. Joana Braga Pereira (Karolinska Institute, Sweden) “Mapping Brain Connectivity in Aging and Neurodegeneration: From Molecular Markers to Brain Networks” — Prof. Ching-Po Lin (National Yang Ming Chiao Tung University, Taiwan) “MRI, Brain Connectomics, and Neuropsychiatric Disorders” — Prof. Mikael Johansson (Lund University, Sweden) “Decoding Episodic Memory: Neural Reinstatement and Eye Movement Dynamics in the Reconstruction of Past Events” — Prof. Marcin Leszczyński (Columbia University Medical Center, US & Jagiellonian University, Poland) “Neural Oscillations, Memory, and Neural (Dys)Function” — Prof. Ineke van der Ham (Universiteit Leiden, The Netherlands) “The Potential of Virtual Reality for Clinical Neuropsychology” — Dr. Manuel Brenner (ESI - Ernst Strüngmann Institute for Neuroscience, Germany) “Data-Driven Interpretable Dynamical Systems Models for Neuroscience & Psychiatry” — Prof. Radoslaw Martin Cichy (Freie Universität Berlin, Germany) “Empirical Vision Neuroscience for Next-Generation AI” STUDENTS > OBTAIN EDUCATIONAL CREDITS The Frontier 2026 series will also in parallel run in a seminar mode for those participants desirous of securing educational credits (e.g., as part of an accredited educational programme). Please contact the series co-ordinators (details below) for further information concerning this form of participation, including deadlines, participation process, and expected requirements towards obtaining course credit. COORDINATION — CONTACT Mehul Bhatt -and- Vasiliki Kondyli Örebro University -and- Lund University / Sweden CoDesign Lab EU / Artificial and Human Intelligence https://codesign-lab.org/ (Apologies for redundant distribution; kindly please forward as you see fit) När du skickar e-post till Lunds universitet behandlar vi dina personuppgifter i enlighet med gällande lagstiftning. Mer om hur dina personuppgifter behandlas hittar du pa Lunds universitets webbplats<http://www.lu.se/integritet>. When you send emails to Lund University, we process your personal data in accordance with existing legislation. To find out more about the processing of your personal data, visit the Lund University website<https://www.lunduniversity.lu.se/about/contact-us/processing-of-personal-da…>.

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Final call: Spectral analysis in neuroscience course for non-specialists
by Axel Hutt Nov. 9, 2026

Nov. 9, 2026

Final call for registration ============================================================= Course: Spectral analysis of time series in neuroscience: Fundamental methods ============================================================= The 1-day course addresses fundamental aspects of spectral analysis without diving much into theory, just from a practical point of view. The aim is to provide a fundamental understanding of the different techniques out there to avoid mistakes, artefacts and to be able to choose the best technique for the own data. The course is planned like an interactive workshop, where we discuss analysis techniques and clarify open questions and possibly fill gaps of methodology understanding. The course content addresses non-specialists in mathematical analysis, e.g. researchers with education in neurobiology, medicine or psychology, but of course it is also open to theory-oriented researchers who intend to understand the practical side of spectral analysis in neuroscience. Possible topics to be discussed are, e.g. * Sampling theory * Fourier analysis and its possible artefacts, e.g. aliasing, spectral leakage * Time-frequency analysis (Short-Time Fourier Transform, Wavelet Transform, Hilbert Transform and Empirical Mode Decomposition) and its limits in applications * Synchronisation, coherence and Phase-Amplitude Coupling Event information: * Location: Bernstein Center Freiburg im Breisgau, Großer Hörsaal, Hansastr. 9a , 79104 Freiburg, Germany ( [ https://www.bcf.uni-freiburg.de/ | https://www.bcf.uni-freiburg.de ] ) * Date of course and time: Friday, November 27 2026, 9:15-15:45 * Registration : send an email to Axel Hutt (email address: first name.lastname at inria.fr) * Registration deadline: Monday, November 9 2026 * Registration fee: none, free of charge The course is supported by the Neurowissenschaftliche Gesellschaft ( [ https://www.nwg-info.de/ | https://www.nwg-info.de/ ] ). -- Dr. rer. nat. Axel Hutt Directeur de Recherche Equipe NECTARINE - INRIA Nancy Center at University of Lorraine Equipe MLMS - iCube Strasbourg Bâtiment NextMed , 2, rue Marie Hamm 67000 Strasbourg, France Team webpage: https://www.inria.fr/fr/nectarine

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Workshop on sign- and goal-tracking, Potsdam, 20–22 Nov 2026 – online participation open to all
by Daniel Schad Nov. 8, 2026

Nov. 8, 2026

Dear colleagues, We would like to invite you to an international workshop on individual differences in Pavlovian conditioned approach: Sign- and goal-tracking: Human data, computational models, and rodent foundations Potsdam, Germany (near Berlin) – Friday 20 November (15:00) to Sunday 22 November 2026 (14:30) https://danielschad.github.io/workshopSTGT.html Research on sign- and goal-tracking has developed rapidly in several partly overlapping areas: rodent work on the neural and neurochemical mechanisms, computational accounts of why identical cue–reward contingencies produce different conditioned responses across individuals, and a growing body of human research using eye-tracking, physical approach tasks, and neural responses to cues and rewards. Researchers from these areas rarely meet in the same room. The aim of the workshop is to compare the approaches side by side – lever autoshaping, gaze-based and neural measures, physical approach tasks, and formal models – and to discuss not only findings but also the practical and methodological details of how the work is done. Speakers and contributors include Patrick Anselme, François Cinotti, Shelly Flagel (online), Sara Garofalo, Michelle Heck, Robert Honey, Jonathan Morrow, Cristina Orsini, Martin Paulus, Terry Robinson (online), Nicola Sambuco, Benjamin Saunders (online), Francesco Versace, and Reinout Wiers (online). Ralf Engbert and Daniel J. Schad facilitate the workshop. How to take part Online: Participation via Zoom is open to everyone. Email us at stgtworkshop.potsdam(a)gmail.com and we will send you the programme and the access details. On site: A small number of places remain in Potsdam (participation fee €70, covering some food and drinks). If you would like to attend in person, please write to us as soon as possible – on-site places are limited and allocated on a first-come, first-served basis. Posters: A poster session open to researchers at all career stages runs alongside the workshop. If you are attending on site and would like to present, please include a title and a short abstract in your email. Please feel free to forward this invitation to colleagues and students who may be interested. With best wishes, Daniel Schad Prof. Dr. Daniel J. Schad Institute for Mind, Brain & Behavior HMU Health and Medical University, Potsdam, Germany Workshop email: stgtworkshop.potsdam(a)gmail.com

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Hippocampus Atlas: Request for feedback
by Sheetal Jadhav Nov. 8, 2026

Nov. 8, 2026

*Hippocampus Atlas*, a free, open-source interactive atlas of the hippocampal formation. It covers cell types, circuits, rhythms, plasticity, theory and disease, and most views are live simulations that run in the browser. It’s an ongoing project, and I’m hoping to get feedback from the community to improve it. - Live atlas: https://sheetal-jadhav.github.io/hippocampus-atlas/ - Code: https://github.com/sheetal-jadhav/hippocampus-atlas The author would welcome corrections and suggestions from researchers and educators. *Feedback (5 min)*: https://forms.gle/aqvg2gDaaSfD4eA16 Best, Sheetal Jadhav (she/her) <https://sheetal-jadhav.github.io/> Computational Neuroscience Researcher

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Fwd: World wide VVTNS series (7th season): November 11, 2026 | Dynamical stability in biologically plausible attractor neural networks | Uri Cohen, The Weizmann Institute of Science
by David Hansel Nov. 8, 2026

Nov. 8, 2026

[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 Uri Cohen Weizmann Institute for Science on the topic of Dynamical stability in biologically plausible attractor neural networks The lecture will be held on Zoom on November 11, 2026 at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page *Abstract: * Recurrent neural networks are canonical models of biological memory, but previous theoretical approaches to auto-associative memory have studied only highly restrictive conditions that do not readily apply to biological neural circuits. Those approaches ensured memory stability by engineering the model dynamics (e.g., to follow the gradient of a Lyapunov function), so they do not apply to more general classes of dynamical systems. We present an alternative approach that uses a general dynamical system where memory stability is not guaranteed but emerges for certain parameter choices. We develop a theory of the local stability of discrete fixed points in a broad class of networks with graded neural activities and in the presence of noise. Using methods from random matrix theory, we analyze the bulk and outliers of the eigenvalue spectra of the Jacobians that characterize network dynamics around fixed points. We find that either all fixed points are stable or all are unstable, depending on whether their number is below a “critical load for stability”, which differs from the classical “critical capacity”, which measures the maximal number of achievable fixed points regardless of stability. By analyzing how this critical load for stability depends on experimentally measurable quantities that characterize memory-pattern statistics and neuronal activation functions, our analysis highlights the computational benefits of sparse-like patterns and threshold-linear activation functions and offers testable predictions for neural circuits supporting memory. Focusing on hippocampal area CA3, a neural circuit previously suggested to implement auto-associative memory, we partner with experimental collaborators to test the prediction that CA3 pyramidal neurons should use threshold-linear activation. Curating a large dataset of in vivo patch-clamp results for CA3 pyramidal neurons from behaving mice, we provide initial support for this prediction. *About VVTNS: VVTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars are 45 min long followed by a discussion and are held on Wednesdays at 11 am ET. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

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Fellowships in the Center for Studies in Physics and Biology at Rockefeller University
by jzavatoneveth＠rockefeller.edu Nov. 6, 2026

Nov. 6, 2026

Dear colleagues, The Center for Studies in Physics and Biology expects to have a small number of postdoctoral fellowships available for appointments in September 2027. We are seeking theoretical physicists, mathematicians and computer scientists with a demonstrable interest in the interface between their discipline and biology. The Fellows are to be at that stage of career as to function as independent members of the Center, free to work alone or in collaboration with any members of The Rockefeller University faculty. The appointment is nominally for two years, with a third year implicit, but based on mutual satisfaction. Applicants should submit curriculum vitae, including a list of publications, a 3-page (maximum) research statement and three letters of recommendation by November 30, 2026. The contents of all letters should be addressed to: Director, Center for Studies in Physics and Biology, The Rockefeller University, 1230 York Avenue, Box 75, New York, NY 10065-6399. Applications should be submitted here: https://cspbfellow.rockefeller.edu Consideration will be given to late received applications. Best regards, Jacob Jacob Zavatone-Veth Assistant Professor and Head of Laboratory Laboratory of Theoretical Neuroscience The Rockefeller University

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Summer school in Brazil March 2027
by Kalel Rossi Nov. 6, 2026

Nov. 6, 2026

Dear comp-neuro members, The ICTP South American Institute for Fundamental Research (ICTP-SAIFR) is offering a summer school in Brazil on Brain Dynamics <https://www.ictp-saifr.org/sbd2027/> in March 2027. The school will introduce concepts and methods from nonlinear dynamics with applications to neuroscience, with lectures headed by Aneta Koseska, Bard Ermentrout, Elif Koksal, Mauro Copelli, Rubén Moreno Bote and Xiao-Jing Wang. The school will take place in Sao Paulo, at ICTP-SAIFR <https://www.ictp-saifr.org/2027-activities/>, from 15-26 March 2027. *Registration* is free and open until 3 December 2026. Link to the registration is available at https://www.ictp-saifr.org/sbd2027/. For further inquiries, please do not hesitate to contact kalel.rossi(a)mpinb.mpg.de or bruna(a)ictp-saifr.org. Best On behalf of the school’s organizing committee Kalel Rossi, PhD

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Postdoc & PhD student positions
by Haefner, Ralf Nov. 6, 2026

Nov. 6, 2026

Postdoctoral and graduate student positions available How does the brain infer causal relationships in the world? How do beliefs about the causal structure of a scene influence motion perception? How can the underlying computations be modeled using Bayesian inference, and how can these computations be tested using neurophysiological experiments? For this collaborative project between the computational neuroscience lab of Dr. Ralf Haefner, and the neurophysiology lab of Dr. Gregory DeAngelis, both at the Department of Brain & Cognitive Sciences at the University of Rochester, we are looking to recruit two postdoctoral fellows and PhD students. This project is highly collaborative with all researchers being involved in most aspects of the project from experimental design to data collection to data analysis & theory development. The project is based on our prior collaborative work [1,2] and we will have two related posters at the upcoming SfN meeting [3,4]. For the theoretical/computational efforts, candidates are expected to have a background in a quantitative field like computational neuroscience, machine learning, math & psychology, etc.. For the experimental efforts, candidates are expected to have a background in neuroscience, experimental psychology, biomedical engineering, or a related field, and previous research experience in systems neuroscience is highly beneficial. If interested, please submit your CV, a statement of research interests, and the names and contact information for three references to ralf.haefner(a)rochester.edu or gdeangelis(a)ur.rochester.edu. Ralf will also be at SfN to answer any questions. The UR/BCS department is at the center of a vibrant and supportive scientific community. It has particularly strong ties to the Center of Visual Science, the Department for Neuroscience, the Department for Computer Science, the Department for Linguistics, and the Data Science Institute. Rochester in upstate NY is family-friendly and affords a high quality of life with access to a world-class symphony, museums, and a wide range of outdoor activities: several parks within cycling distance, 20min by car to sandy beaches on Lake Ontario, 1h to Finger Lakes / wine country / skiing, 3h to great hiking in the Adirondacks. We also have a balanced 4 season climate with weather for every occasion: Lilac Festival in the spring, beautiful sunny summers (<10 days above 90 degrees), gorgeous fall foliage, and guaranteed snow in the winter. More info here: https://www.visitrochester.com. [1] Shivkumar, S., DeAngelis, G. C., & Haefner, R. M. (2025). Hierarchical motion perception as causal inference. Nature Communications, 16(1), 3868. [2] Lengyel, G., Shivkumar, S., DeAngelis, G. C., & Haefner, R. M. (2026). Bayesian causal inference unifies perceptual and neuronal processing of center-surround motion in area MT. eLife. https://doi.org/10.7554/eLife.110621.1 [3] Dong et al. (2026). Neural correlates of speed-dependent relative motion perception in area MT. SfN Poster# PSTR184.01 / AA2, WCC Halls A-C, Nov 16, 1-5pm [4] Yuan et al. (2026). Motion perception as causal inference: testing the causality assumption. SfN Poster# PSTR184.02 / AA3, WCC Halls A-C, Nov 16, 1-5pm

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Computational Neuroscience job search at University of Maryland (College Park)
by Daniel A. Butts Nov. 5, 2026

Nov. 5, 2026

The Department of Biology at the University of Maryland, College Park (UMD), invites applications from individuals using computational approaches to study fundamental questions in neuroscience for a tenure-track or tenured position at the rank of Assistant or Associate Professor. Computational neuroscience is defined broadly; research areas of interest include: biophysical and statistical modeling, computational neurogenetics, neural population codes, and the intersection of biological intelligence and AI ("NeuroAI"). Preference will be given to applicants with computational research programs that integrate experimental data (including multi-modal data) to address important issues in basic and translational neuroscience. This position is intended for applicants with research programs that have minimal or no wet lab components. The successful candidate will be expected to: Establish and sustain a vigorous, externally funded, independent research program in computational neuroscience. Teach undergraduate and graduate courses in neuroscience and/or quantitative biology and contribute to larger campus initiatives in neuroscience, quantitative biology, and/or NeuroAI. Participate in departmental, college, and university service and contribute to a collaborative academic environment. This position is part of a new Quantitative Biology Initiative in the Department of Biology supporting postdoctoral fellows and supports a new Predictive Biology Hub for Human and Environmental Health dedicated to fostering collaborative research and new educational programs in Quantitative Biology. Members of the Department work with colleagues across UMD, including in the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM), the Brain and Behavior Institute (BBI), the UMD Institute for Advanced Computer Studies (UMIACS), and the Institute for Systems Research (ISR). Faculty participate in a number of relevant graduate programs, including Neuroscience and Computational Science (NACS), Biological Sciences (BISI), Biophysics, and Applied Mathematics & Statistics, and Scientific Computation (AMSC). The Department also supports undergraduate programs in Biological Sciences (BSCI) and Neuroscience (NEUR). UMD is located in the Washington, D.C. metropolitan area, which is home to major national institutions and medical centers (e.g., the National Institutes of Health) and proximate to the Rockville Biotech corridor. Details and information on applying: https://umd.wd1.myworkdayjobs.com/UMCP/job/University-of-Maryland-College-P…

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Recruiting Ph.D students in computational cognitive neuroscience
by Stefano Anzellotti Nov. 5, 2026

Nov. 5, 2026

I am looking for a Ph.D student interested in using computational approaches, behavioral methods and/or neuroimaging to study one or more of the following areas: 1. Recognition of objects, actions and events 2. Multi-task learning 3. Agent understanding 4. Individual variation in autism and other psychiatric disorders The laboratory collaborates with Computer Science and Physics PIs, offering opportunities for interdisciplinary training. The position starts in Fall 2027, the deadline for applications is December 15, 2026. For inquiries please contact anzellos(a)bc.edu sending a CV and a brief statement of skills and research interests. Stefano Anzellotti (he/him) Associate Professor, Department of Psychology and Neuroscience Chair, Research Computing Committee Boston College https://sccnlab.bc.edu/

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[COMPLEX NETWORKS 2026] Program Announced – Join Us in Granada!
by Hocine Cherifi Nov. 4, 2026

Nov. 4, 2026

Dear colleagues, 🌐 *The scientific program of COMPLEX NETWORKS 2026 is now available!* Join us in *Granada, Spain, December 2–4, 2026*, for the *15th International Conference on Complex Networks and Their Applications*. 🎙️ *Five distinguished keynote speakers* Alexandra Brintrup · Nitesh Chawla · Kimmo Kaski · Bruno Lepri · Eckehard Schöll 📚 *A rich interdisciplinary program* 27 thematic oral sessions, 3 spotlight sessions, and 5 poster sessions covering network science, graph learning, complex systems, computational social science, and applications across disciplines. 🎓 *Tutorials — December 1* Fariba Karimi · Huijuan Wang 🤝 *More than a conference* COMPLEX NETWORKS is a unique meeting place where researchers from diverse backgrounds exchange ideas, engage in stimulating discussions, and build new collaborations. *Whether presenting or simply attending, everyone is welcome!* 📋 *Explore the program:* https://complexnetworks.org/program/ 🎟️ *Register:* https://complexnetworks.org/registration/ We look forward to welcoming you in Granada for this special 15th edition! Please share this invitation with colleagues and students who may be interested. Best regards, Hocine Cherifi General Co-Chair, COMPLEX NETWORKS 2026 Join us at COMPLEX NETWORKS 2026 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Université Bourgogne Europe Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member 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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Fully-funded PhD position in neuroimaging studies at USC
by Z S Nov. 3, 2026

Nov. 3, 2026

Dear all, Description: Dr. Sha’s lab (https://shazhiqiang.wixsite.com/sha-lab) at the University of South Carolina is seeking *PhD students in neuroimaging studies *in the Department of Psychology. Our lab is affiliated with the Carolina Autism & Neurodevelopment Center, the Institute for Mind & Brain, and working closely with the McCausland Center for Brain Imaging in Columbia, center of SC Metropolitan Statistical Area. Our lab explores the mechanisms of atypical brain development and neurodevelopmental disorders (e.g., autism spectrum disorders) by leveraging computational modeling (e.g., deep learning models) to bridge neural circuitry, exposure (e.g., early life adversity) and psychopathological phenotypes, and treatment outcomes. These innovative projects will leverage state-of-the-art machine learning models and neuroimaging, supported by the brand-new Brain Imaging Center (with 3T and 7T MRI scanners) and the Biobehavioral Research Center at the University of South Carolina. This position provides an excellent opportunity for a self-motivated student to gain hands-on experience with neuroimaging (e.g., MRI) and biomedical research techniques. The candidate will have full access to rich in-house and public datasets, and advanced neuroimaging platforms. Our lab fosters a collaborative and productive environment, and we actively support PhD students in generating high-quality research publications, applying for fellowships and securing their future career paths. Key roles: · Data analysis; present results and publish papers under the PI’s supervision · Keep up-to-date on relevant studies and methods, and actively discuss them with the PI · Present your work at national and international conferences Requirements: · Bachelor’s or Master’s degree in a relevant field (e.g., neuroscience, math, data science, biostatistics, biomedical engineering) · Experience with neuroimaging MRI data analysis is preferred. · Candidates with coding experience are preferred. How to apply: Please submit your CV to Dr. Sha (zsha(a)mailbox.sc.edu)

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Fwd: World wide VVTNS series (7th season): November 4 2026 |Learning to Oscillate: Hebbian Plasticity Imprints Limit Cycles in Neural Networks| Pierfrancesco Urbi IPhT, Saclay France
by David Hansel Nov. 1, 2026

Nov. 1, 2026

[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 Pierfrancesco Urbi IPhT, Saclay France on the topic of Learning to Oscillate: Hebbian Plasticity Imprints Limit Cycles in Neural Networks The lecture will be held on Zoom on November 4, 2026 at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page *Abstract: * Oscillatory activity is a hallmark of brain dynamics, yet how neural circuits learn to generate rhythmic patterns through biologically plausible mechanisms remains an open question. In this work, we investigate high-dimensional, non-linear dynamical systems—prototypical models of recurrent neural networks—exposed to incoherent periodic inputs and Hebbian-like synaptic plasticity. Our analysis reveals a striking phenomenon: depending on the interplay between the strength of the periodic drive and synaptic plasticity, the system’s phase diagram exhibits a regime where, once both inputs are removed, the network spontaneously settles into a limit cycle . This demonstrates that periodic drives can "imprint" lasting rhythmic patterns into the network’s connectivity, effectively teaching it to oscillate autonomously. Using dynamical mean-field theory (DMFT) and finite-size numerical simulations, we characterize this memorization phase , where the system retains a "memory" of the rhythm. We identify distinct dynamical attractors—chaotic, fixed-point, and limit cycle phases—and show that the limit cycle’s robustness depends on the metabolic time window between stimulation and plasticity halting. This work bridges the gap between driven and autonomous dynamics, offering a theoretically tractable yet biologically inspired mechanism for rhythm learning.

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Assistant Professor position at University of Arizona, Department of Philosophy, Consciousness Studies/ Philosophy of Mind
by Charles, Andrew Vincent - (andrewvcharles) Oct. 31, 2026

Oct. 31, 2026

Job category: Junior faculty / Tenure-track or similar Consciousness studies (construed broadly), or philosophy of mind and the philosophy of at least one special science relevant to the interdisciplinary study of consciousness such as cognitive science, psychology, neuroscience, AI, linguistics, or physics. AOC :Open Workload: Full time Vacancies 1 Organization's reference number: req27296 Location: Tucson, Arizona, United States Start date August 2027 Job description: The Department of Philosophy at the University of Arizona invites applications for a tenure track position at the rank of Assistant Professor, specializing in research on consciousness. In addition to candidates with a research focus on traditional philosophical questions regarding consciousness, we also encourage applications from candidates with strong research programs involving consciousness-adjacent areas of scientific inquiry. The Department seeks a researcher and teacher to contribute to its emerging interdisciplinary degree programs in Consciousness and to the overall philosophical life of the department. Candidates must have earned a PhD in Philosophy or another field relevant to consciousness research by the date of employment. Applicants whose PhD is not in Philosophy should include clear evidence of their research and teaching qualifications pertinent to a leading PhD program in philosophy. All applicants must demonstrate evidence of a commitment to undergraduate and graduate teaching. The standard teaching load in the department is 2 courses per semester. The individual hired will be expected to teach half of their courses at the undergraduate and graduate level in the philosophy of consciousness, and in other core related topics such as those listed in the AOS description; or also e.g. general philosophy of science; philosophy of biology; the philosophy of religion; neuroethics; AI ethics; or aesthetics. The individual hired will also be expected to engage actively in scholarship and participate in departmental, college, and university service, including participating actively in the long-established Center for Consciousness Studies, whose role is now expanding as a cross-disciplinary university center for both research and teaching. They will also be expected to participate actively in the graduate and undergraduate degree programs in Cognitive Science. The University of Arizona has a long history as a pioneer in the development of consciousness studies. Recently, the university has received significant donor support to create its new educational programs in consciousness studies for undergraduates and graduate students. To date we have created a unique undergraduate curriculum in consciousness studies, with increasing numbers of students; a parallel graduate program is under development. The programs now have an endowed chair in this area, with annually increasing funds for novel collaborative projects, with established programs in the cognitive sciences, information science, and neuroscience, among others. Applications should be submitted by November 7, 2026 for full consideration and include the following documents: • A brief cover letter • A curriculum vitae • A research statement, of no more than 2 pages • A statement of teaching interests and philosophy, of no more than two pages • Evidence of teaching excellence • A writing sample • At least three and no more than four letters of reference. Applicants with a PhD in a field other than Philosophy should be sure to have letters from at least two philosophers. For any questions please contact Dennis Tamblyn dtamblyn(a)arizona.edu. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here. https://talent.arizona.edu/ How to apply Application type: Online Instructions Letters of Recommendation can be submitted the following ways: 1. Attach the letters as a single document and upload to the application. 2. Email the letters directly to Dennis Tamblyn, dtamblyn(a)arizona.edu. 3. Send the letters through Interfolio to Dennis Tamblyn, dtamblyn(a)arizona.edu. Web address to apply https://arizona.csod.com/ux/ats/careersite/4/home/... Deadline for full consideration: November 7, 2026, 11:59am MST Hard deadline No deadline specified (applications considered on an ongoing basis) Contact Web address for more information https://philosophy.arizona.edu Contact name Dennis Tamblyn Contact email dtamblyn @arizona.edu Contact phone 520-621-5045

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Graduate Program at the Center for Perceptual Systems
by Mary Hayhoe Oct. 30, 2026

Oct. 30, 2026

The Center for Perceptual Systems (CPS) at the University of Texas Austin is an exciting interdisciplinary center designed to foster communication and collaboration in the study of sensory systems, at the behavioral, neural, and theoretical levels. Members of the Center come from the Departments of Neuroscience, Psychology, and Computer Science and have strong expertise in the investigation of perception in the context of natural environments, and in the development of computational tools both for studying neural function and for modeling natural behavior. We encourage applications from PhD candidates with particular interests in these domains. CPS Training Program Faculty Thomas Elston: Cognitive control, decision-making, computational psychiatry Robbe Goris: Visual perception, neural computation, perceptual decision-making. Mary Hayhoe: Eye movements, visual attention, and visuo-motor coordination. Lori Holt: Auditory perception, cognition, learning and attention. Jarrod Lewis-Peacock: Working memory, cognitive control, memory regulation. Franco Pestilli: Visual system connectivity and white matter mapping. Nicholas Priebe: Intracellular recording, 2 photon microscopy and visual neurophysiology. Thibaud Taillefumier: Computational and theoretical neuroscience. Xuexin Wei: Computational and theoretical neuroscience, visual perception. Chen Yu: Early sensory-motor development and learning, visual attention, visuo-motor coordination and egocentric scene statistics. Yuke Zhu: 3D computer vision, robot perception, and embodied AI. Graduate trainees come from a range of home departments and programs, most commonly from the Interdisciplinary Neuroscience Program, the Psychology Department, and Computer Science. Graduate admissions are through the participating departments listed below, together with application deadlines. https://inp.neuroscience.utexas.edu/ Deadline: Nov 15th https://liberalarts.utexas.edu/psychology/ Deadline: Nov 15th https://www.cs.utexas.edu/graduate/degrees-and-programs Deadline: December 15th Mary Hayhoe Center for Perceptual Systems University of Texas Austin 108 E. Dean Keeton Blvd, Stop A8000 Austin TX 78712-1043 hayhoe(a)utexas.edu

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Postdoc Position at Radboud University (Nijmegen) in NeuroAI: Biologically Grounded Neural Networks for Cognition
by Paul Tiesinga Oct. 29, 2026

Oct. 29, 2026

Postdoc Position at Radboud University (Nijmegen) in NeuroAI: Biologically Grounded Neural Networks for Cognition _Can you help designing cognitive architectures to make brain implants smart in an international and interdisciplinary team involving the top neuroscience institutes in the Netherlands and thereby (ultimately) contribute to improve the life of patients?_ Brain implants are, for the most part, fixed-function devices. The EBRAINS-NEUROTECH infrastructure is building a tool chain that changes this: neural networks that perform the perceptual and cognitive processing an implant needs, run on-device, and can be adapted by the experimenter. You will build the core of that tool chain: a set of neural network modules for perception and cognition, grounded in what we know about the brain's own mechanisms. For this position you will develop NeuroAI-in-practice: a set of neural network modules that can be easily used and adapted by an experimental user, while also giving publishable scientific insights in and of themselves. Two use-cases, involving processing for vision implants and implants for cognitive restoration, will guide the work. These networks also have to run on-device. Together with a postdoctoral researcher from the Centre for Mathematics and Computer Science (CWI), you will translate the designs to a neuromorphic architecture. Does this sound like you? * You are a scientific programmer or postdoctoral researcher with excellent programming skills and a strong interest in NeuroAI. * You have a PhD degree in a quantitative field, such as physics, mathematics, computer science, engineering or computational or theoretical neuroscience. * You have experience with programming in Python and C in combination with deep learning tools such as PyTorch, TensorFlow, and JAX. * You have a background in neuroscience, preferably on mechanisms for cognitive processes, or a strong desire to obtain such a background. This position is physically hosted at the Neurophysics department of the Donders Institute at Radboud University. The work is part of the Software Platform of the EBRAINS-NEUROTECH infrastructure, involving teams at the University of Amsterdam (Dr Jorge Mejias), CWI (Prof. Sander Bohte) and Radboud University (Prof. Paul Tiesinga). To apply for this job please consult the Academic Transfer link: https://www.academictransfer.com/en/jobs/365079 For more information contact Paul Tiesinga at p.tiesinga(a)science.ru.nl

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ANNOUNCING the 2025 Best Illusion of the Year Contest Winners AND ACCEPTING SUBMISSIONS for the 2026 CONTEST!
by smart＠neuralcorrelate.com Oct. 29, 2026

Oct. 29, 2026

Dear Illusion Enthusiasts, Voters around the globe chose the Best Illusions of 2025 from the TOP TEN Finalists competing in the 20th edition of the Best Illusion of the Year Contest <https://illusionoftheyear.com/> (hosted by the Neural Correlate Society and supported by the Museum of Illusions <https://www.museumofillusions.com/> ). The TOP THREE winning illusions were revealed on Tuesday, October 27th, 2026. First Prize and a $3,000 award went to "Cogs in a Machine," by Jacky Z. J. Yueh and Joan Danielle K. Ongchoco, Canada. Second Prize and a $2,000 award went to "9 Purple Dots," by Hinnerk Schulz-Hildebrandt, United States. Third Prize and a $1,000 award went to "The Hole Truth," by Matt Pritchard, United Kingdom. This year's illusions are making headlines! Read The Washington Post's article featuring several of the illusions that just competed in the Best Illusion of the Year Contest: <https://www.washingtonpost.com/health/2026/10/27/how-this-years-best-optica l-illusions-trick-your-brain/> How this year's best optical illusions trick your brain. If you enjoyed the spectacular winning and finalist illusions, 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 21st edition of the Best Illusion of the Year Contest! If you have created a novel, mind-bending illusion, we invite you to share it with the world. Don't miss the opportunity to be part of next year's TOP TEN 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 2025) 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 TEN. Then, online voters around the world will choose their favorite illusions from the TOP TEN finalists. The TOP THREE 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 TEN 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 TEN, 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 can be re-submitted to the 2026 Contest, as long as they meet the above requirements and were not among the TOP TEN 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 December 14th, 2026. 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, <x-msg://2/championsofillusionbook.com> Champions of Illusion 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: <mailto:smart@neuralcorrelate.com> smart(a)neuralcorrelate.com Phone: <tel:%2B1%20718-270-4520> +1 718-270-4520 http://smc.neuralcorrelate.com

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Diagnosing inconsistent partial-cue recall in a small recurrent LIF network
by 오성민 Oct. 28, 2026

Oct. 28, 2026

Hello, I’m developing an independent, AI-assisted computational modelling project. My immediate goal is reliable partial-cue recall that depends on learned recurrent connections. I would appreciate advice on the first diagnostic to prioritize, or a published working model suitable for comparison. The network has 24 input channels, 96 expansion neurons, 48 excitatory recurrent memory neurons, and a fixed 32-neuron LIF readout. Input-to-expansion connections learn normalized input/spike coactivity during storage. Recurrent memory weights also learn; all weights are frozen during evaluation. The protocol presents a six-channel pattern P for 1,000 ms, then zero input for 500 ms, followed by three of P’s channels continuously for 200 ms. The current endpoint is cosine similarity between readout spike counts and a full-P reference recorded before learning. A paired control restores the same post-storage checkpoint and resets only recurrent weights to their initial values. Input-pathway weights, neural state, retained traces, and initial RNG state are preserved. A separate recurrent-learning-off condition still permits input-pathway learning during storage. Across three seeds, learned-minus-reset cosine differences were +0.003414, +0.003999, and −0.037353. This did not meet the specified robustness criteria. In the negative case, learned and reset branches had identical per-neuron memory spike counts, but different spike timings. Five readout spikes were absent in the learned branch; its score was 0.842399 versus 0.879752 after reset. Also, naïve readout responses to two overlapping full patterns were very similar in two seeds, with P/Q cosines of 0.97846 and 0.99618; the third was 0.77380. These observations do not establish successful recall hidden by the readout. Some implementation details: - Current-based LIF, dt=1 ms, tau=20 ms, rest/reset=−65, threshold=−50, refractory period=2 ms. - Recurrent connections are directed, excitatory-only, approximately 60% dense, with no self-connections and a one-step delay. Weights start at 0.6 and are clipped to [0,8]. - The learning rule examined here is dW[j,i]=0.06*spike[j]*pre_trace[i]−0.025*post_trace[j]*spike[i]. Both traces decay with a 20-ms time constant; updates use decayed traces before adding current spikes. - Expansion-to-memory and memory-to-readout projections each supply 12 inputs per postsynaptic neuron, weighted 180 and 120 respectively. Which diagnostic would you prioritize to localize the bottleneck between learned recurrent completion and its measurement through the fixed readout, while accounting for the learned input pathway? What contrasting outcomes would make that diagnostic informative? A published LIF associative-memory model with a comparable partial-cue test would be particularly helpful. I am seeking a practical next step toward a working circuit, while keeping the existing endpoint and negative findings unchanged. Thank you. 오성민 Independent researcher Unaffiliated

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Postdoc Fellowships at WashU
by Goodhill, Geoffrey Oct. 28, 2026

Oct. 28, 2026

POSTDOCTORAL FELLOWSHIPS AVAILABLE AT WASHINGTON UNIVERSITY IN ST LOUIS The Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St Louis invites applications from outstanding Postdoctoral Fellows to work at the interface between theoretical and experimental neuroscience labs at WashU. Deadline for applications is Dec 1st 2026. The CTCN is a joint initiative between the Schools of Medicine, Engineering, and Arts and Sciences at WashU, and provides a hub for neuroscientists to collaborate with mathematicians, physicists and engineers to find creative solutions to some of the most difficult problems currently facing neuroscience and artificial intelligence. Each CTCN Postdoctoral Fellow is based in at least two labs, but also has the opportunity to seek out new collaborations which help build new connections within the WashU community. We are looking for people with drive, independence and outstanding prior achievement, who are committed to leveraging interdisciplinary collaboration to drive forward the field of theoretical and computational neuroscience. Washington University in St Louis is ranked =6 worldwide for Neuroscience and Behavior by USNews. Salary for CTCN Fellows is $80,000 plus $10,000 for research costs and travel. In addition, WashU offers excellent benefits and comprehensive access to career development, professional and personal support. The St Louis metropolitan area has a population of almost 3M and is rich in culture, green spaces and thriving music and arts scenes, with a highly accessible cost of living. For more details, including how to apply, please see https://ctcn.wustl.edu/postdoc-fellows Professor Geoffrey J Goodhill CTCN Director Departments of Developmental Biology and Neuroscience Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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[Jobs] two 4 years PhD positions with Prof. Laurenz Wiskott at Ruhr University Bochum, Germany, for modeling episodic memory in humans
by Laurenz Wiskott Oct. 28, 2026

Oct. 28, 2026

Germany : Ruhr University Bochum : Faculty of Computer Science : Institute of Neuroinformatics : Theory of Neural Systems Application platform: https://jobs.ruhr-uni-bochum.de/en/jobposting/b03ed1dd010514c25ed288e12387d… In order to fill a fixed-term position in part-time (29.87 hours/week = 75%) 01.01.2027 pending funding approval, we are looking for candidates (m/f/x) for two Doctoral Positions. The Institute of Neuroinformatics is a research institute of the Faculty of Computer Science at the Ruhr University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Bochum is one of the centers of episodic memory research with a coherent framework developed within the DFG Research Unit 2812 "Constructing Scenarios of the Past" (https://for2812.rub.de/) combining psychology, neuroscience, philosophy, and computational neuroscience. In order to fill two fixed-term positions in part-time (29.87 hours/week = 75%) from the 1st of January 2027, pending funding approval, we are looking for 2 doctoral students in the research group of Professor Laurenz Wiskott. The research focuses on modeling generative episodic memory within a large, highly interdisciplinary research consortium in close collaboration with experimental partners. The methods used draw from neural network theory and machine learning. Your tasks: * Contributing to the development of an integrated systems level model of generative episodic memory. * Integrating this model with other aspects of cognition, such as planing and reasoning. * Modeling experimental data. * Communication with experimental partners. * Publication of results. Your profile: * Very good Master degree in physics, mathematics, computer science, engineering, or a related field. * Interest in interdisciplinary research in the area of neuroscience. * Good programming and mathematical skills. * Basic knowledge in machine learning. Advantageous: * Experience in modeling. * Experience in interdisciplinary projects. * Programming skills in Python. We offer: * Challenging and varied tasks with a high level of independence * Collaboration in a committed and appreciative team * Extensive training and professional development opportunities * Options for flexible working (mobile working and teleworking) * An interesting interdisciplinary environment in the field of theoretical brain research / machine learning. * Freedom to shape the project yourself. * Infrastructure that facilitates close integration into the institute and the research group. * Opportunity to pursue a Ph.D. Further information: The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L. Further information can be found at https://oeffentlicher-dienst.info/ (in German). The place of work is Ruhr University Bochum. If the position is funded by third-party funds the employee has no teaching obligation. RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees. German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/daf/mitarbeitende/index.html.en The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr(a)rub.de. The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum’s declared aim. The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. Contact persons for further information: Laurenz Wiskott , Tel.: +49 234 32 27997 Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed. We look forward to receiving your application via our online application portal by 2026-11-09. Please make sure to mention the reference number ANR 6248: https://jobs.ruhr-uni-bochum.de/en/jobposting/b03ed1dd010514c25ed288e12387d…

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Postdoctoral contract at Instituto de Neurociencias (Alicante, Spain) - up to 2 years
by Encarni Marcos Sanmartin Oct. 28, 2026

Oct. 28, 2026

Dear colleagues, We are looking for a *postdoctoral researche*r to join our lab, the Plasticity of Brain Networks at the Institute for Neurosciences (CSIC–UMH) in Alicante, Spain. Please find the full announcement attached. I would be grateful if you could share it with anyone who might be interested. One of our research lines focuses on studying how different brain regions interact to shape our choices, and how the body, and movement in particular, influences what we decide. We combine behavioral tasks in animal models,* in vivo* electrophysiology, and computational modeling. The postdoc will: • Train animals in decision-making tasks • Perform in vivo electrophysiological recordings • Analyze behavioral and neural data, in close interaction with computational modeling *Requirements*: PhD in Neuroscience, Biology, Psychology, Physics, Engineering, or a related field; demonstrable hands-on experience in electrophysiology; accreditation for animal experimentation; good written and spoken English. *Valued*: experience training animals in behavioral tasks and programming skills (Python/MATLAB). We *offer* a full-time contract for up to 2 years, with salary according to UMH scales, in a Severo Ochoa Center of Excellence a few minutes from the Mediterranean Sea. To apply, please send your CV, a cover letter, and contact information for two references to emarcos(a)umh.es. Applications will be reviewed on a rolling basis until the position is filled. Direct link to the offer: https://in.umh-csic.es/es/ofertas/postdoctoral-position-2-years-neural-mech… Feel free to contact me with any questions. Best regards, Encarni Marcos Plasticity of Brain Networks Lab Institute for Neurosciences (CSIC–UMH) Alicante, Spain emarcos(a)umh.es

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call for Workshops, RLDM
by Becket Ebitz Oct. 27, 2026

Oct. 27, 2026

We invite submissions for workshop proposals for the 7th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2027), to be held July 6-9, 2027 at Maison de la Chimie, Paris, France. Workshops are a half-day and held during the conference. The submission deadline for workshop proposals is Friday, December 11, 2026, with notification by January 15, 2027. Proposals should be submitted via the google form linked below. What are RLDM Workshops? The goal of the RLDM workshops is to encourage interdisciplinary discussion and to provide an informal forum for researchers to discuss important questions and challenges focused on a specific topic. Workshop topics may include anything from important current/controversial issues, open problems, and comparisons of competing approaches. You are free to choose a format that suits the topic, and in the past have included invited oral presentations,’blitz’ talks, panel discussions, data modeling challenges, hackathons, debates, and symposia aimed at improving communication between researchers from different fields rather than presenting novel research. Or a combination of any of those! Workshop organizers propose the workshop content, coordinate speakers, and provide the program for the workshop in a timely manner (a rough suggested timeline will be posted in the FAQ soon). Organising a workshop is your chance to shape the conference or kickstart a new community, so we encourage researchers at all stages of their career to consider getting involved in a workshop proposal. For inspiration, have a look here for workshops at RLDM2025: https://rldm.org/past-meetings/rldm2025/workshops/ How to Submit Workshop proposals are due by 23:59 UTC on Friday, December 11, 2026. They can be submitted using the following form: https://docs.google.com/forms/d/e/1FAIpQLSc2ODIMAUncPtVn50Tf_Ulw0pK-fKqLUdH… Notifications will be provided by email on or before January 15, 2027. Proposals will be asked to respond to the following questions: -- Workshop title and acronym (if available) -- A brief description of the workshop focus (max 2000 characters) -- A brief justification of how this workshop engages the multidisciplinary RLDM community. If a similar theme has been explored in recent years or at other venues, please highlight the new developments that warrant revisiting this topic (max 1000 characters) -- A short description of the format of planned activities (talks, panels, invited speakers, activities, etc.) (max 1500 characters) -- A list of invited speakers, and indicate who has confirmed their willingness to participate. Note that it is not necessary at this stage to have established confirmation from all participants in the workshop and that the workshops are 1/2 day. -- A list of workshop organizers with web page URLs if available. -- A brief mention of any past event or workshop organizing experience. We encourage at least one organizer to have past event organizing experience. (max 500 characters) -- The email addresses of all workshop co-organisers. FAQ Q: Is there any travel funding available for workshop speakers? RLDM will not be able to provide travel funding for workshop speakers. In previous years, some workshops have sought and received funding from external sources to bring in outside speakers and RLDM is open to that model. Organizers should list all funding sources in the proposal. Q: Who should I contact with questions? Please feel free to contact us at rebitz(a)gmail.com and giorgia.ramponi(a)uzh.ch if you have any questions! For the quickest response please use “RLDM2027 Workshops” in your subject line. Q: How will proposals be evaluated? Workshop proposals will be evaluated and selected by the RLDM Workshop Chairs based on the following metrics, in no particular order: 1. Relevance to the RLDM community 2. Interdisciplinary scope of the proposal 3. Current interest in the topic within the community 4. Diversity and equity in the proposed presenters/speakers/organizers 5. Potential for new research directions and interactions to emerge Q: What if I want to get involved with a workshop proposal, but I don’t have co-organizers? Please get in touch with us over email; we might be able to pair you with other possible co-organizers. Q: How many workshops will there be? Around six. Sincerely, Becket Ebitz and Giorgia Ramponi RLDM2027 Workshop Chairs

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Pynapple & NeMoS workshop on neural data analysis
by Edoardo Balzani Oct. 27, 2026

Oct. 27, 2026

Dear colleagues, We are running an hands-on workshop on two open-source Python packages for systems neuroscience, held at the Flatiron Institute in New York City from January 26 to January 28, 2027: - *Pynapple*, for loading, manipulating, and analyzing neural and behavioral time series. - *NeMoS*, for statistical modeling of neural activity, including generalized linear models (GLMs) and GLM-HMMs. *Application Deadline: *November 22, 2026 The workshop combines lectures with hands-on coding sessions on real datasets. Details and registration: https://www.simonsfoundation.org/events/ccn-software-workshop-2027/ *Workshops at your institution* Next year we also plan to teach shorter, more focused versions of the workshop at host universities. The host takes care of the logistics (room, recruiting and coordinating attendees), and members of our team teach the material. If you would like us to teach at your department or PhD program, or want more information, please reply to this email. Please forward this message to anyone who may be interested. Best regards, The NeuroRSE team

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[Meetings] Call For Applications 2027 Nengo Summer School
by Madeleine Bartlett Oct. 27, 2026

Oct. 27, 2026

Dear colleagues, The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 12th 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 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 21st, 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 30th to June 11th, 2027 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! Best, Maddy she/her/elle Associate Research Officer / Agent de recherche associé National Research Council Canada / Conseil national de recherches Canada Adjunct Professor / Professeur adjoint Psychology Department at the University of Waterloo / Département de psychologie de l'Université de Waterloo Email NRC: maddy.bartlett(a)nrc-cnrc.gc.ca Email UW: madeleine.bartlett(a)uwaterloo.ca

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JOB: Faculty Position in Cognitive Psychology, Seoul National University
by Jiook Cha/SNU/Psychology Oct. 27, 2026

Oct. 27, 2026

Dear comp-neuro list members, The Department of Psychology at Seoul National University is recruiting a full-time faculty member in Cognitive Psychology. The position is open to all subfields. I would be grateful if you could circulate the announcement below to the list. Faculty Position in Cognitive Psychology, Seoul National University The Department of Psychology in the College of Social Sciences at Seoul National University (SNU) invites applications for a full-time, tenure-track or tenured faculty position in Cognitive Psychology, with an anticipated start date of September 1, 2027. We welcome applications from all subfields of cognitive psychology. Applications will be accepted from December 1, 2026, until 16:00 KST on December 30, 2026. What we seek We seek a pioneering scholar who is advancing an independent research program that addresses important, unresolved questions about human cognition. We welcome researchers who formulate new theoretical accounts and test them through rigorous experimental and behavioral research, extending the explanatory reach of cognitive psychology. We encourage applications from scholars who are open to new approaches, lead research collaborations in Korea and abroad, and help shape the direction of the field through their contributions to international scholarly debate. Teaching and mentoring The successful candidate will teach undergraduate and graduate courses, including laboratory courses in cognitive and behavioral experimentation, and mentor student research. We aim to strengthen training in experimental approaches to psychological science and develop research training that incorporates generative models. Academic environment The Department of Psychology at SNU runs the Institute of Psychological Science, and its faculty participate in interdisciplinary research within and beyond the university. SNU's Interdisciplinary Programs in Neuroscience and in Cognitive Science, along with the Graduate School of Artificial Intelligence, provide opportunities to engage with researchers in neuroscience, linguistics, philosophy, and artificial intelligence. The Department also leads Brain-Mind-Behavior, an undergraduate interdisciplinary program with participation from Economics, Philosophy, Biological Sciences, Computer Science and Engineering, and other departments. Application information Field: Cognitive Psychology Anticipated start date: Wednesday, September 1, 2027 Eligibility, appointment terms, and required documents: Applicants must hold a doctoral degree and meet SNU's faculty appointment eligibility requirements. Please see the official announcement below for appointment terms and detailed document requirements. Letters of recommendation: At least two letters from specialists in the same field are required after Stage 1 (interview candidates and the letter deadline will be notified individually). Referee information must be entered at the time of application; letters may also be submitted during the application period. Requests to referees through the application system must be sent before the application deadline. Application period: Tuesday, December 1, 2026, 11:00 to Wednesday, December 30, 2026, 16:00, Korea Standard Time (KST, UTC+9) How to apply: Submit your application and upload the required documents through the SNU faculty recruitment system: https://www.google.com/url?q=https://shine.snu.ac.kr/adm/adm/hura/wrct/main… Anticipated review schedule: Stage 1 review, January 12 to February 4, 2027. Stage 2 review, February 15 to March 26, 2027. Official announcement: https://www.google.com/url?q=https://social.snu.ac.kr/%25EA%25B3%25B5%25EC%…. If this advertisement differs from the official announcement, the official Korean announcement prevails. Inquiries: For application procedures, contact the Office of Academic Affairs, College of Social Sciences (+82-2-880-6309 <02-880-6309>, yeojin(a)snu.ac.kr) For the field and the department, contact Professor Jiook Cha, PhD (connectome(a)snu.ac.kr) Best, Jiook Cha, PhD Associate Professor and Chair Department of Psychology Seoul National University

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[jobs] Research Software Engineer, Nengo Neural Simulation Ecosystem
by Michael Furlong Oct. 26, 2026

Oct. 26, 2026

Research Associate — Research Software Engineer, Nengo Neural Simulation Ecosystem Centre for Theoretical Neuroscience, University of Waterloo · Posted 23 October 2026 Position summary The Centre for Theoretical Neuroscience is hiring a research software engineer on an 11-month term to modernize Nengo, our open-source neural simulation ecosystem. Nengo is a widely used spiking neural network simulator. The post is funded by a Research Software Maintenance Fund award from the Digital Research Alliance of Canada. The work is focussed on rebuilding continuous integration and test coverage, modernizing the OpenCL and deep-learning backends, returning the project to automated signed releases, and leaving documentation good enough for maintainers who did not write the code. About the project and team Nengo is a Python framework for building large-scale functional brain models, in continuous development since 2013. It has shipped 21 stable releases, records more than 270,000 downloads, and runs models across CPUs, GPUs and neuromorphic hardware including Intel Loihi and SpiNNaker. The ecosystem has outgrown its maintenance capacity. Several packages lag current Python, NumPy and GPU runtimes, continuous integration has gaps across the platform matrix, and one release sits unshipped behind completed dependency fixes. This post exists to solve these problems. You would report to Professor Chris Eliasmith and work alongside Terry Stewart and Michael Furlong of the National Research Council of Canada, who contribute code review and continuity. All work happens in public repositories through reviewed pull requests. Key responsibilities The funded work plan has seven packages. You would lead the technical work in all of them. * Testing and continuous integration. Rebuild CI across the supported platform matrix, raise automated test coverage, and add property-based tests for the numerical solvers. Establish performance and regression baselines so later improvements are measured rather than asserted. * Release engineering. Restore automated signed releases to PyPI and conda. Refresh packaging, dependency pinning and Python version support. Harden the build pipeline around credential handling and artefact signing. * GPU and accelerator backends. Update NengoOCL for current OpenCL runtimes, GPU drivers and Python versions. * Deep learning integration. Modernize NengoDL against current deep-learning runtimes. * Interactive interface. Broaden NengoGUI compatibility across current browsers, since it is the main entry point for new users. * Models and examples. Update the NengoZoo model and example collections. * Documentation. Consolidate user and maintainer documentation, update the maintainer handbook and contributor guide, record architecture decision records for the core abstractions, and publish machine-readable citation metadata with a versioned DOI per release. Alongside these, you would integrate software composition analysis and static analysis into CI, enable dependency vulnerability monitoring, and help publish a documented vulnerability disclosure procedure. Required qualifications * Training in computer science, engineering, neuroscience, physics, mathematics or a related field. PhD preferred. * Strong Python, with demonstrated fluency in the scientific stack, particularly NumPy and SciPy. * Demonstrated experience maintaining a non-trivial open-source project or research codebase: continuous integration, packaging, releases, issue triage and code review. * Working knowledge of at least one accelerator or deep-learning runtime, such as OpenCL, CUDA, PyTorch, TensorFlow or JAX. * Comfort working in public repositories through reviewed pull requests, with the code and the discussion visible. We are interested in evidence of what you have built and maintained. Preferred qualifications Prior use of Nengo or the Neural Engineering Framework, including through the Nengo Summer School. * Experience with neuromorphic hardware: Intel Loihi, SpiNNaker, BrainScaleS or FPGA targets. * Background in computational neuroscience, cognitive modelling or spiking neural networks. * Supply-chain and software security practice: dependency scanning, static analysis, artefact signing, vulnerability disclosure. * Full stack web development, for the NengoGUI work. * Technical writing for a developer audience, including API and architecture documentation. Terms of appointment Item Detail Classification Research Associate, University of Waterloo Term 11 months, non-renewable under this award Salary $110,000 for the full term Start date December 1, 2026, or as soon as possible thereafter Hours Full time, 1.0 FTE Location Waterloo, Ontario. Hybrid, with a strong preference for candidates who can work from campus regularly. Fully remote within Canada will be considered for an exceptional candidate. Unit Centre for Theoretical Neuroscience, University of Waterloo Supervisor Professor Chris Eliasmith The term is 11 months, which is a condition of the award. The appointment does not include pension participation or insured health benefits, which Waterloo extends to research appointments of one year or more; statutory benefits and vacation pay apply. We are reviewing applications as they arrive. How to apply Send the following to celiasmith(a)uwaterloo.ca, with the subject line "Nengo Research Associate Application": 1. A CV. 2. A link to code you have written or maintained, with one or two sentences on what your contribution was. A public repository, a package you maintain, or merged pull requests to someone else's project all work. 3. A short note, no more than a page, on how you meet the job requirements, and what you would tackle first and why. Applications are reviewed as they arrive and the posting closes when the position is filled. Required disclosures * Compensation. $110,000 for the 11-month term. There is no bonus, commission or other variable compensation attached to this position. * Vacancy status. This posting is for an existing vacancy, newly created by external research funding. * Artificial intelligence. Artificial intelligence is not used to screen, assess or select applicants for this position. * Canadian experience. Canadian work experience is not required. Applicants must be legally entitled to work in Canada by the start date. Applicants will be notified of the outcome within 45 days of their final interview. The University of Waterloo is committed to achieving barrier-free accessibility for persons with disabilities. Applicants who require accommodation during the recruitment process should contact the address above. The University regards equity and diversity as integral to academic excellence and encourages applications from all qualified candidates.

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CFP: FLAIRS40, Neural Network Special Track, St. Pete Beach, FL, May 24-27, 2027
by David B Oct. 26, 2026

Oct. 26, 2026

*Deadlines* Abstract Submission: January 22, 2027 Paper Submission: February 1, 2027 Paper Acceptance Notification: March 9, 2027 Camera Ready Version: April 5, 2027 *Call for Papers* The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double- blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. *Topics of interest may include (but are not limited to):* Applications such as Pattern Recognition, Applications, Generative AI methods and applications, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cybersecurity, remote sensing, earth sciences, bioinformatics, and astronomy. Neural networks such as new developments in Deep Learning, Back Propagation, RBF, SVM, Ensemble Methods, Kernel Approaches; Hybrid approaches such as Neural Networks/Genetic Algorithms, Causal Nets trained with Backpropagation, Neural Network/Fuzzy Logic and Acceleration of neural network models via software or hardware. Other modeling algorithms such as hidden Markov models, decision trees, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction;and knowledge engineering or warehousing. *Submission Guidelines* Papers must follow the FLAIRS template guidelines ( https://www.flairs-40.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. *Conference Proceedings* Papers will be refereed and all accepted papers will appear in the conference proceedings. *Track Co-chairs:* David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Booz Allen Hamilton, s.m.gutstein(a)gmail.com Lenin Mookiah, eBay, lenin.world(a)gmail.com *Program Committee Members:* Martin Atzmueller(University of Kassel, Germany) Lori Bogren (SomaLogic, USA) Ramesh Paudel (Sysco Corporation) Olac Fuentes (University of Texas at El Paso) Masoud Badiei Khuzani (eBay, USA) Tomasz Palczewski (SAP, USA) Chi Weng Cheong (PGIM, USA) Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation) Sheikh Rabiul Islam (University of Hartford, USA) Lawrence Holder (Washington State University, USA) Diane Cook (Washington State University, USA) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Roberto Santana (University of Basque Country, Spain)

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2nd Workshop on Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence
by Anton Arkhipov Oct. 25, 2026

Oct. 25, 2026

Dear Colleagues, Join us at the 2nd Workshop on Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence! The Workshop will be held on February 22-23, 2027, alongside AAAI 2027 in Montreal, Canada. Call for Papers: https://neuroai-multimodal-workshop.github.io/. * Paper submission deadline: November 20, 2026 * Decision notification: December 5, 2026 * Short papers: Up to 4 pages (non-archival, excluding references) * Long papers: Up to 8 pages (archival, excluding references) * References and Supplementary: No page limit Building on the success of our first workshop at AAAI 2026 in Singapore, this edition will bring together researchers in AI, computational neuroscience, and neuromorphic engineering to explore how brain insights can inspire more adaptive, efficient, and robust AI systems, and how AI can deepen our understanding of neural computation. This year, we’ll place a special emphasis on context-dependent learning, continual adaptation in foundation models, and open-source benchmarks bridging neuroscience and AI. We look forward to bringing the community together again! Organizing team: Asim Iqbal, Shinya Ito, Reza Abbasi-Asl, Sophia Sanborn, Anton Arkhipov Anton Arkhipov Investigator [cid:2B7F5AD4-00BE-422F-8184-42BF1C16DEE3]

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2 PhD positions in translational computational neuroscience and NeuroAI at ICNS Hamburg, Germany
by Claus C. Hilgetag Oct. 25, 2026

Oct. 25, 2026

Dear colleagues, We invite applications for two PhD positions at the Institute of Computational Neuroscience (ICNS), University Medical Center Hamburg-Eppendorf (UKE), Germany: Translational computational neuroscience: Combining game theory, network neuroscience and computational modelling to investigate how brain regions and their interactions contribute to behaviour, impairment and recovery after stroke. The project will develop and validate approaches based on Multiperturbation Shapley value Analysis, in collaboration with project partners in Ghent, Paris and Amiens. Supervision by Claus Hilgetag. Details and application: UKE vacancy J000007015 <https://uke.jobs/index.php?ac=jobad&id=7015> Computational neuroscience and NeuroAI: Investigating how biological connectivity principles shape computation in recurrent neural networks and reservoir computing models. The project will explore characteristic bio-inspired network architectures for temporal and multimodal learning. Joint supervision by Fatemeh Hadaeghi and Claus Hilgetag. Details and application: UKE vacancy J000007013 <https://uke.jobs/index.php?ac=jobad&id=7013> We welcome applicants with a Master’s degree in computational neuroscience, computer science, physics, mathematics, biomedical engineering or related fields. Strong quantitative and programming skills, proficiency in Python, scientific initiative and fluent English are expected. Demonstrations of prior independent scientific achievements are an advantage. Both positions offer opportunities for independent research within an international, interdisciplinary group, with access to high-performance computing and support for conferences and training. Application deadline: 2 November 2026. Please apply through the respective UKE recruitment pages, which provide full requirements and application instructions. Please feel free to share this announcement with interested candidates. Best wishes, Claus C. Hilgetag Institute of Computational Neuroscience University Medical Center Hamburg-Eppendorf, Germany

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World wide VVTNS series (7th season): October 28 2026 | Circuit Mechanisms of Sensorimotor Learning in the Cortico-Basal Ganglia-Thalamocortical Network | Arthur Leblois CNRS, IMN Bordeaux, France
by David Hansel Oct. 25, 2026

Oct. 25, 2026

[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 Arthur Leblois CNRS, IMN Bordeaux, France on the topic of *Circuit Mechanisms of Sensorimotor Learning in the Cortico-Basal Ganglia-Thalamocortical Network* The lecture will be held on Zoom on October 28, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Please pay attention to the time change!* Europe has switched to winter > time whereas the United States will switch on November 1. > > As a result, the seminar will begin at *11:00 a.m. EDT, which corresponds > to 4:00 p.m. CET*, rather than the usual 5:00 p.m. in Europe. > *Abstract: * The basal ganglia (BG) are essential for learning and adapting movements, yet their output is often unnecessary for executing well-learned actions. This paradox challenges existing models of BG function. I will present a biologically grounded model of the cortico-BG-thalamocortical loop, showing how this closed-loop network supports efficient motor adaptation and early movement acquisition. In our model, dopamine-driven plasticity, recurrent cortical dynamics, and feedback from the BG together shape motor output, even when BG output is not directly required for execution. This work provides a unified framework explaining how the BG-cortical circuit contributes to both learning and refinement of goal-directed actions. One important assumption of the model is that parallel feedback loops in the BG-cortical circuits form functional channels driving specific motor output, and I will show recent analysis of neuronal activity in the song-related circuit of zebra finch supporting this assumption.

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Discussion manuscript: validating pre-attack neural signals and their external EEG correlates
by נתי שטרן Oct. 25, 2026

Oct. 25, 2026

Dear computational neuroscience colleagues, I would welcome methodological feedback on a new discussion manuscript: A framework for validating neural signals before aggressive behavior in animal models relevant to autism and schizophrenia https://github.com/netanelcyber/psi-qeeg-bis/blob/6b79e9c39cd0532202659acbb… The central question is whether activity preceding an observed attack in an awake animal contains information that can be recovered from simultaneous external EEG and used to forecast future attacks beyond behavior, EMG and movement measurements. The proposal considers controls, ASD-relevant, SCZ-relevant and combined experimental conditions. It does not claim that animals have the corresponding human diagnoses; the combined condition requires its own construct validation. The analysis separates baseline differences, ongoing-action correlates and genuine pre-event prediction. Feedback would be particularly valuable on depth-to-surface signal mapping, latent-state models, causal preprocessing, animal-level holdout, calibrated warning probabilities, and false alarms per hour during continuous recording. Relevant existing synchronized depth/EEG/video datasets would also be helpful. This AI-assisted manuscript is a hypothesis and proposed validation framework. It contains no new experimental data, trained predictor or validation results, and has not been peer reviewed or accepted by a preprint server. AI assistance and pending author disclosure fields are stated in the draft. Please send comments privately to nsh531(a)gmail.com. Best regards, Netanel Stern Independent researcher, Israel

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Postdoctoral Position in Computational/Theoretical Neuroscience at UC San Diego
by Marcus Benna Oct. 23, 2026

Oct. 23, 2026

A postdoctoral position in computational neuroscience with flexible start date is available in the lab of Dr. Marcus Benna <https://biology.ucsd.edu/research/faculty/mbenna> at the University of California, San Diego. Our research seeks to understand how neural information processing under noisy and resource-constrained conditions allows the brain to efficiently perform computational tasks and control relevant behaviors. This position <https://biology.ucsd.edu/jobs/postdoc#postdoctoral-position-computationalth…> will involve the analysis of neural activity data (calcium imaging or electrophysiology) collected by our collaborators, as well as theoretical modeling of learning and task performance in neural networks. Our research group <https://bennalab.biosci.ucsd.edu/> is part of the vibrant Department of Neurobiology at UCSD, which is highly collegial, and offers many opportunities for collaborations, both formal and informal. Postdoctoral trainees are encouraged to attend seminars and present their work at departmental events. Our group is located in Tata Hall and shares space with several experimental neuroscience laboratories. We offer a stimulating environment with opportunities to develop new research directions and supportive mentorship for individual career development. The applicant should hold a PhD in computational neuroscience, physics, applied math, computer science, data science, or a related field, preferably with a degree date no more than two years before the start date. Candidates should have a strong quantitative background and programming skills. Experience in computational modeling, machine learning and/or data analysis is necessary for this position. Strong verbal and written communication skills are required. We’re looking for collaborative, motivated individuals who can conduct an independent research project and work as part of a team. To apply, please email Dr. Marcus Benna (mbenna(a)ucsd.edu) with the subject line “Postdoc Application”, and include - A cover letter/research statement that summarizes your experience, contributions to science, as well as research interests and how they align with the lab’s work. - CV with publication list - Names and contact information of 3 references Review of applications will begin on Nov. 13th. Best, Marcus ========================== Marcus K. Benna Assistant Professor Department of Neurobiology School of Biological Sciences University of California, San Diego

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Postdoc position in retina computational modeling applied to psychiatry at LORIA, Nancy, France
by Laure Buhry Oct. 22, 2026

Oct. 22, 2026

A postdoctoral position is available at LORIA (Laboratoire Lorrain de Recherche en Informatique et ses Applications), Nancy, France, in the Neurorhythms (https://neurorhythms.loria.fr/) team on the MERGES ( https://piq.inria.fr/projets/#merges https://piq.inria.fr/en/projets/#merges) project funded by the Inria Quadrant Programme. The work will be conducted in collaboration with experimentalists at Christophe Ribelayga's lab, University of Houston, TX, and clinicians at Steven Silverstein's lab, University of Rochester, NY. The aim of this project is to test pathophysiological hypotheses in schizophrenia spectrum disorders and to identify novel therapeutic targets through physiologically realistic modelling of retinal signalling, used as a peripheral window into brain function. The postdoctoral fellow will contribute to computational modeling of retinal circuits and to hypothesis-driven analyses, including short research stays at our collaborating laboratory in the United States. *Start date* : as soon as possible. *Contract duration* : 2 years, with possible renewal of 1 year contingent on successful annual review of the programme. *Monthly gross salary* : 2948 € (French salary scale) *Qualifications:* Prior experience with computational neuroscience is required, in particular with conductance-based models. Prior knowledge and practice in scientific computing, signal analysis or applied mathematics is preferred. A strong interest in retinal functioning and applications in Psychiatry is mandatory. *Application:* Prospective postdocs can contact laure.buhry(a)loria.fr for more detailed information, or directly send a CV and short statement of interest for application. -- Laure Buhry https://members.loria.fr/LBuhry/

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Fully-funded Research Assistant position in Neuroimaging studies at University of South Carolina
by Z S Oct. 22, 2026

Oct. 22, 2026

Dear all, Description: Dr. Sha’s lab (https://shazhiqiang.wixsite.com/sha-lab) at the University of South Carolina is seeking *a fully-funded Research Assistant*. Our lab is affiliated with the Carolina Autism & Neurodevelopment Center, the Institute for Mind & Brain, and working closely with the McCausland Center for Brain Imaging in Columbia, the center of SC Metropolitan Statistical Area. Our lab explores the mechanisms of atypical brain development and neurodevelopmental disorders (e.g., autism spectrum disorders) by leveraging computation modeling to bridge neural circuitry, exposure (e.g., early life adversity) and psychopathological phenotypes, and treatment outcomes. These innovative projects will leverage state-of-the-art computational models, supported by the Brain Imaging Center (with 3T and high-field 7T MRI scanners) and the Biobehavioral Research Center. This position provides an excellent opportunity for a self-motivated student to gain hands-on experience with neuroimaging (e.g., MRI) and computational modeling, making it ideal preparation for a future graduate or medical career. Research Assistant will be actively involved in the scientific process and are encouraged to contribute meaningfully to publications. We fully support research assistants in leading first-author publications and presenting their work at international conferences. Duties: · Computational modeling; statistical modeling · MRI data collection, processing, analysis; present results and publish papers · Manage daily administrative operations of the lab (e.g., scheduling and communication) Requirements: · Bachelor’s degree in a relevant science (e.g., neuroscience, math, biostatistics, biomedical engineering and etc.) · Experience with clinical and MRI data collection and data analysis. · Candidates with coding experience are preferred. How to apply: Please submit your CV to Dr. Sha (zsha(a)mailbox.sc.edu)

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Fully funded lab manager position on social neuroscience lab
by Speer, Sebastian Oct. 21, 2026

Oct. 21, 2026

We’re hiring a full-time lab manager/research assistant to join the Coupled Minds Lab at Texas A&M University! Our lab, led by PI Sebastian Speer, studies how conversations shape the way people connect, change their minds, and learn. We combine fMRI hyperscanning, natural language processing, and computational modeling to investigate how people explore ideas together and build consensus in interactions with human and AI partners. The lab manager will help lead data collection for fMRI hyperscanning studies, analyze naturalistic fMRI data and conversation transcripts, and apply computational methods to study social interaction. This position offers hands-on research experience for someone considering a PhD in psychology or neuroscience. Qualifications: A bachelor’s degree in psychology, neuroscience, computer science, or a related field is required. Prior research experience is preferred. Salary: $45,000 per yearLocation: College Station, TexasStart date: As soon as possible Applications will be reviewed on a rolling basis until the position is filled. Apply here: https://tamus.wd1.myworkdayjobs.com/TAMU_External/job/College-Station-TX/Re… Learn more about the lab: https://coupled-minds.github.io/ --- Sebastian Speer Assistant Professor Psychological & Brain Sciences Texas A&M University

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PhD and postdoc positions: PDEs + TDA + deep learning for 3D+time microglia morphology (Prague and Warsaw)
by Hahn, Jooyoung Oct. 21, 2026

Oct. 21, 2026

Dear Colleagues, The MIND-MAP project (2027-2029), a collaboration of CTU in Prague, the University of Warsaw and ISTA Austria, is hiring one PhD student and one postdoc in Prague and one PhD student and one postdoc in Warsaw (Pre-announcement). MIND-MAP studies how microglia, the immune cells of the brain, change their branching shape in 3D + time microscopy, and turns these images into a quantitative, geometric and topological readout of brain state. Both groups work closely with Sandra Siegert's lab at ISTA, with access to unique 3D and 3D + time microscopy data. The goal is to develop new mathematics, not merely to apply existing tools. In Prague (CTU in Prague, FNSPE, with Jooyoung Hahn), the work covers dimensionality reduction, hybrid PDE + deep-learning segmentation, scale-aware 3D shape representations, tracking in 3D + time, and geometry-informed TDA. In Warsaw (University of Warsaw, with Pawel Dlotko), it covers topological descriptors of shapes that change in time, shape trajectories, Ball Mapper and interpretable visualization. We are looking for candidates with a strong background in (applied) mathematics, computer science, physics or a related field, and a strong interest in biology. Postdoc candidates should have experience in one of the following areas: numerical PDEs, image segmentation, deep learning, TDA or geometry Prague salary: postdoc 70,000 CZK gross per month, full time, start 1 January 2027 (negotiable); PhD 38,745 CZK gross per month (0.8 FTE) plus a 12,000 CZK tax-free stipend (about 43,000 CZK net), start 1 March 2027. To apply, send a CV and a few lines about your research interests and what you can bring, and say whether you apply for the PhD or the postdoc: * Prague: jooyoung.hahn(a)fjfi.cvut.cz (PhD by 5 December 2026) https://jooyounghahn.github.io/jobs/MIND-MAP_PhD_CTU_Prague.html * Warsaw: p.dlotko(a)uw.edu.pl https://jooyounghahn.github.io/jobs/MIND-MAP_PhD_Postdoc_Warsaw.html This is a pre-announcement; the official calls with formal conditions will be published separately. Feel free to email us with questions. Best, Jooyoung Hahn Assistant Professor Faculty of Nuclear Sciences and Physical Engineering Czech Technical University in Prague jooyoung.hahn(a)fjfi.cvut.cz

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[Job] Research Software Engineer at CatalystNeuro (remote)
by Ben Dichter Oct. 21, 2026

Oct. 21, 2026

Dear colleagues, CatalystNeuro <http://catalystneuro.com> is hiring a Research Software Engineer to help neuroscience labs convert their data to Neurodata Without Borders (NWB) and publish it on the DANDI Archive. Each project starts with a lab's own acquisition systems, file formats, and analysis outputs, and ends with a standardized, well-documented dataset that others can reuse. The work is roughly evenly split between building conversion pipelines for specific labs and improving the open-source tools those pipelines are built on, including NeuroConv, PyNWB, and the NWB Inspector. We rely heavily on agentic LLM-based development in this work. We use coding agents such as Claude Code to read unfamiliar formats, draft conversion code, and run tests, with engineers directing the agents and reviewing what they produce. We are looking for someone with strong Python skills, experience with neuroscience data or a related field, and hands-on experience developing software with coding agents. Prior experience with NWB, DANDI, or SpikeInterface is helpful but not required. The position is remote, and we ask for several hours a day of overlap with European working hours. It can be a contract paid hourly at $60 to $75 per hour depending on experience, at anything from 25 hours per week up to full time. For candidates based in the United States, we are also open to a full-time salaried position with benefits at $95,000 to $120,000 per year. To apply, please email info(a)catalystneuro.com with the subject line "Application: Research Software Engineer" and include your CV, a link to your GitHub profile or another code sample, and a short note answering two questions: describe a dataset you have worked with and what made it difficult to handle, and describe how you have used coding agents in your work, including a time an agent got something wrong and how you caught it. We will begin reviewing applications on November 10, 2026. The full listing is at https://catalystneuro.com/openings/research-software-engineer/. Best regards, Ben Dichter CatalystNeuro

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Tenure-track position in Computational Neuroscience at Yale
by daniel.levenstein＠yale.edu Oct. 21, 2026

Oct. 21, 2026

Dear colleagues, The Department of Neuroscience at Yale is hiring tenure-track faculty in computational or theoretical neuroscience. We’re especially interested in candidates who use computational methods to link models with experimental data, broadly construed: from analysis of neural activity and network modeling to imaging, bioinformatics, and molecular modeling. New faculty join a growing computational community spanning the Department of Neuroscience, the Wu Tsai Institute, the Kavli Institute for Neuroscience, and the Department of Biomedical Informatics and Data Science, with a generous start-up package and ongoing salary support. More information on the position and application can be found at Interfolio: https://apply.interfolio.com/190740. Review is rolling, with priority for applications received by November 30, 2026. Please feel free to reach out to me directly with questions about the department and community here at Yale! Best, Dan ________________________________ Daniel Levenstein, PhD Assistant Professor - Department of Neuroscience Wu Tsai Investigator - WTI Center for Neurocomputation and Machine Intelligence Quantitative Biology Institute (QBio) Yale University 100 College Street, Room 1130 New Haven, CT 06510 www.levensteinlab.org

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Research Assistantship (pre-doctoral route) position in NeuroAI in Coimbra, Portugal
by Jorge Almeida Oct. 21, 2026

Oct. 21, 2026

Dear colleagues, We are recruiting a Research Assistant with a Master’s degree (this is a requisite) to join the newly funded ALIGN project, supported by the CMU Portugal / FCT Initiative. The position will be based at the University of Coimbra, working with Jorge Almeida and in close collaboration with Michael Tarr at Carnegie Mellon University. The project sits at the intersection of NeuroAI, cognitive neuroscience, computer vision, and human-centered AI, and aims to understand how visual representations in AI models align with human behavioral and neural representations. The selected candidate will contribute to behavioral and neuroimaging research, AI model evaluation, and representational analyses involving vision and vision-language models such as CLIP, DINO, ResNet, and ViT. This is an excellent opportunity for someone interested in developing a research profile in NeuroAI and potentially continuing into a PhD in this area. The position is funded through a Master’s research fellowship, with a monthly stipend of €1,359.64, tax-free (as dictated by the Portuguese Government). The contract will be for the duration of the project – expected 1 year - although we expect the candidate to apply together with the team to a PhD fellowship to continue the project. We are looking for candidates with interests in one or more of the following areas: - Cognitive neuroscience or psychology - Artificial intelligence, machine learning, or computer vision - Neuroimaging, especially fMRI - Data analysis, Python programming, or computational modeling - Human perception, categorization, or visual cognition Interested candidates should send a CV, a brief statement of interest, and contact information for references to: jorgecbalmeida(a)gmail.com Please feel free to share this opportunity with anyone who may be interested. Best, Jorge Almeida University of Coimbra ALIGN Project | CMU Portugal / FCT Initiative

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on behalf of Greg Reynolds: position in Music, Science and Health at Knoxville
by Reinoud Maex Oct. 20, 2026

Oct. 20, 2026

Begin forwarded message: From: "Reynolds, Greg" <greynol3(a)utk.edu<mailto:greynol3@utk.edu>> Subject: Request to post job ad to listserv Date: 16 October 2026 at 16:54:30 BST To: "comp-neuro-owner(a)lists.cnsorg.org<mailto:comp-neuro-owner@lists.cnsorg.org>" <comp-neuro-owner(a)lists.cnsorg.org<mailto:comp-neuro-owner@lists.cnsorg.org>> You don't often get email from greynol3(a)utk.edu<mailto:greynol3@utk.edu>. Learn why this is important<https://aka.ms/LearnAboutSenderIdentification> Please post to the listserv this job ad for an open position as Assistant/Associate/Full Professor of Music, Science, and Health, Natalie L. Haslam College of Music at the University of Tennessee, Knoxville. The Natalie L. Haslam College of Music invites applications for a 9-month tenure-track position at the Assistant, Associate, or Full Professor level in Music, Science, and Health. This is a rare and forward-looking appointment designed for a scholar-teacher who believes that a fuller understanding of music — how we hear it, perform it, feel it, analyze it, and create it — is enriched by understanding the human brain, human behavior, and the science behind how we interact with the art of music and human health. The successful candidate will occupy a distinctive role at the intersection of music, medicine and health, neuroscience, psychology, cognitive science, or other theoretical and applied sciences, contributing to both the core curriculum of the College and to an emerging cross-disciplinary research culture. The candidate will work in the Natalie L. Haslam College of Music with potential for collaboration with other colleges, and relevant health organizations. The successful candidate is expected to have either existing or strong potential for obtaining extramural funding. More information and application materials can be found here: https://apply.interfolio.com/194546<https://apply.interfolio.com/194546> ______________________________________ Greg D. Reynolds, Ph.D. Professor Department of Psychology & Neuroscience University of Tennessee, Knoxville http://dcnlab.utk.edu<http://dcnlab.utk.edu>

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Faculty position in Computational Neuroscience at Boston University
by Emily Stephen Oct. 19, 2026

Oct. 19, 2026

The Boston University Department of Mathematics and Statistics is recruiting an Assistant Professor of Computational Neuroscience as part of Boston University’s Advancing Brain and Cognitive Health convergent search—part of a new University-wide approach to convergent research. The convergent search will involve up to 6 tenure-track faculty hires. Going beyond traditional interdisciplinary collaboration, convergent research intentionally brings together different disciplines, methods, and ways of thinking to tackle complex challenges and open new directions for discovery. Faculty joining this cluster will have opportunities to build collaborations across neuroscience, computation, engineering, and health sciences to pursue ambitious questions about the brain and cognitive health. Learn more about the position and the other openings in the convergent search: https://bit.ly/4hP8ya0 Best, Emily Stephen

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PhD and postdoc positions in computational and theoretical neuroscience || University of Texas at Dallas
by Muller, Lyle Oct. 19, 2026

Oct. 19, 2026

PhD and postdoctoral positions are available in a growing cluster of computational neuroscience labs at the University of Texas at Dallas. The Muller Lab (http://mullerlab.io<http://mullerlab.io/>) and the Lakshminarasimhan Lab (https://neuralalgorithms.github.io<https://neuralalgorithms.github.io/>) are recruiting new trainees in computational and theoretical neuroscience. PhD positions start in Fall 2027. Postdoctoral start dates are flexible. Research across the cluster combines computational analysis of neural data, applied mathematics, and machine learning to understand computation in biological and artificial neural networks in close collaboration with experimental groups. Projects in the Muller Lab include traveling waves in neural systems (link<https://www.nature.com/articles/s41467-023-39076-2>) and analyses of spikes in large neural populations (link<https://arxiv.org/abs/2412.03804>). The group has an active collaboration with the Fields Institute through the Lab for Network Computation<https://www.fields.utoronto.ca/activities/fields-lab-network-computation>. The Lakshminarasimhan Lab develops computational theories of learning, memory and decision-making that link synaptic plasticity, neural dynamics and behavior. Ongoing projects in the lab include developing and testing normative theories of dopamine signaling (link<https://www.biorxiv.org/content/10.1101/2025.03.18.643990v2.full>) and representational drift. The two labs are building shared training in computational neuroscience and NeuroAI at UTD. Trainees will join a growing computational neuroscience community in the Dallas area, including connections to UT Southwestern and the Texas Artificial Intelligence Research Institute (TAIRI). Prior experience with scientific computing, signal analysis, applied mathematics, or machine learning is preferred. Prospective PhD students should apply to the Cognition and Neuroscience PhD program at UTD (link<https://bbs.utdallas.edu/departments/neuroscience/graduate-programs/cogniti…>) before December 1, 2026. Prospective postdocs can write to lyle.muller(a)utdallas.edu or kaushik.laksh(a)utdallas.edu with a CV and short statement of interest. -- Lyle Muller http://mullerlab.io

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Faculty position in computational neuroscience || University of Texas at Dallas
by Muller, Lyle Oct. 19, 2026

Oct. 19, 2026

The Department of Neuroscience at the University of Texas at Dallas invites applications for a tenure-system faculty position at the Assistant or Associate Professor rank in computational neuroscience, starting Fall 2027. The position is part of a cluster hiring initiative to build an internationally recognized computational neuroscience research and training program at UT Dallas. We are looking for candidates with expertise in neural coding, computation and dynamics, or working at the intersection of neuroscience and artificial intelligence, including large language models. The ideal candidate would do highly collaborative dry-lab research connected to departmental strengths in learning and memory, decision making, motor control, affective neuroscience, sensory perception and pain, or neurogenomics. The position includes teaching undergraduate and graduate courses. Applicants should have a PhD or equivalent in neuroscience, computer science, mathematics or a related field. The new hire will join a rapidly growing computational neuroscience cluster at UTD, with close ties to the Texas Artificial Intelligence Research Institute (TAIRI), the Texas Biomedical Device Center, and UT Southwestern Medical Center. Full position description and application: https://jobs.utdallas.edu/postings/32729. Priority will be given to applications received by December 31, 2026. -- Lyle Muller http://mullerlab.io

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World wide VVTNS series: Seventh season opening lecture, Wednesday, October 21, 2026, at 11:00 am EDT - Richard Hahnloser, ETH Zurich
by David Hansel Oct. 18, 2026

Oct. 18, 2026

[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 seventh season opening lecture of the online VVTNS series. It will be delivered by Richard Hahnloser ETH Zurich on the topic of The Algorithm(s) of Birdsong Learning The lecture will be held on zoom on October 21, 2026, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *How do songbirds acquire and refine their complex vocal repertoires? Learning a song requires both evaluating sensory evidence and determining which changes in behavior improve performance. These challenges have traditionally been studied in separate experimental paradigms: auditory-feedback adaptation, reinforcement learning, and imitation. In this talk, I will examine the behavioral and neural algorithms underlying each and ask how they might fit within a common learning architecture. First, when auditory feedback is shifted in pitch, birds change their vocal pitch in the opposite direction. As in humans, compensation is typically incomplete and becomes proportionally smaller for larger shifts. This pattern is consistent with Bayesian causal inference: birds combine internal predictions of pitch with auditory evidence while discounting feedback that is unlikely to have been self-generated. Second, I will show why classical policy-gradient reinforcement learning falls short in explaining the nonlinear pitch trajectories observed in conditioning experiments. A normative extension accounts for these trajectories and aligns with the modular organization of the brain’s song-control system. In this architecture, a learning component generates exploratory variation and is updated by reward. Other components contribute to motor output but are not updated by reward on every trial. Third, I will turn to imitation learning. Songbirds simplify this computational challenge by acquiring vocal units—syllables—independently of their sequential order. The intrinsic reward guiding the acquisition of this vocal inventory can be characterized by a simple sum–max rule: each target syllable contributes a partial reward determined by its best pitch match among the bird’s developing vocalizations, and these rewards are summed across targets. A light-tailed pitch-similarity function ensures that large mismatches contribute little reward. Together, these findings identify complementary mechanisms for interpreting sensory feedback, assigning credit to motor actions, and matching vocal output to remembered targets. The next challenge is to explain how these mechanisms interact within a unified theory of birdsong learning. I will conclude with initial attempts to use AI to develop this synthesis, with the aim of turning a collection of task-specific algorithms into a coherent framework with testable predictions and potential relevance beyond the avian brain. ᐧ

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