- Comp-neuro - lists.cnsorg.org

Postdoc position in Digital twin brain for Alzheimer's Disease (Spase Petkoski, INS Marseille)

by Spase Petkoski

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

Oct. 15, 2025

PhD position in cognitive computational neuroscience

by Mingbo Cai

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

Oct. 15, 2025

Scholarships available for BCCN Berlin International Doctoral Program Computational Neuroscience

by GraduatePrograms

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

Oct. 14, 2025

CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex

by Simon Bowes

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

Oct. 14, 2025

AAAI 2026 workshop "Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence"

by Anton Arkhipov

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

Oct. 14, 2025

Open Rank Faculty Position in Artificial Intelligence in Psychological Science

by Stacie Warren

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

Oct. 13, 2025

Opening: Assistant Professor in Computational Neuroscience at the University of Cincinnati

by vanderdt＠ucmail.uc.edu

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

Oct. 13, 2025

3 Faculty Positions open at UAlbany - Deadline Oct 31! - Please circulate!

by Annalisa Scimemi

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

Oct. 13, 2025

University College London NeuroAI Annual Conference - 5th Nov - in person and online

by Padraig Gleeson

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

Oct. 13, 2025

Re: What can you do with 1000 neurons? Task 2

by Nicolas P. Rougier (inria)

On Wed 03 Sep 2025 at 06:36, "Nicolas P. Rougier (inria) via Comp-neuro" <comp-neuro(a)lists.cnsorg.org> wrote: Dear all, The challenge is still running with a cued decision task. Provided you've made a model of BG, it might be simple to adapt it, taking into account all the constrains. You'll find instructions at hdttps://github.com/rougier/braincraft Reminder: you have have 1000 neurons (leaky rate model), 100 seconds of training time and 10 runs for evaluation. The difficulty comes from the imposed constrains. You now have to 2 weeks to propose your model. Best, Nicolas Rougier. -- Nicolas P. Rougier —— www.labri.fr/perso/nrougier Institute of Neurodegenerative Diseases, Bordeaux

Oct. 13, 2025

Mechanistic Basis of Foraging 2025: registration closes October 20th

by Mark Humphries (staff)

Registration<https://uobevents.eventsair.com/the-mechanistic-basis-of-foraging/registrat…> for "The Mechanistic Basis of Foraging 2025" will close on October 20th This international meeting will bring together everyone fascinated by the brain's role in foraging - ecologists, neuroscientists, theorists, psychologists, clinicians and all. It will be at the Edgbaston Park Hotel, University of Birmingham, UK on 3-5th November<https://uobevents.eventsair.com/the-mechanistic-basis-of-foraging/programme> 2025. Confirmed talks<https://uobevents.eventsair.com/the-mechanistic-basis-of-foraging/invited-s…> from Miriam Klein-Flügge<https://www.linkedin.com/in/ACoAACtE-3kBGfSLNtzwaO6Gg_61I2z7v1QL2cY> (Oxford), Susan Healy (St Andrews), Benjamin Hayden<https://www.linkedin.com/in/ACoAAACqwHUBWuoA8vX4E9N3dC7uDIwKm0gvJqk> (Rice), Jacquie Scholl (INSERM), Becket Ebitz<https://www.linkedin.com/in/ACoAACCpbA8BHCMs39mrznP4hOIHFZXsdQvjof0> (Montreal), David Barack (Pennsylvania), Jennifer Li<https://www.linkedin.com/in/ACoAABs3v9oB9QVZ7O9k-SSERjAk7Rg1TdBsCLg> (Max Planck), Elli Leadbeater (UCL), Aaron Bornstein<https://www.linkedin.com/in/ACoAABpLq0cBebU5WP08r2J0Psww0wcniLCYixI> (UC Irvine), Nicholas Furl<https://www.linkedin.com/in/ACoAAAU3bbUBQbDszqRAFEIbNuWQGfbXb_3rpUg> (Royal Holloway), Dr. Carolina Rezaval (Birmingham), David Robbe (INSERM), and more https://uobevents.eventsair.com/the-mechanistic-basis-of-foraging/ We are grateful to the University of Birmingham<https://www.linkedin.com/company/university-of-birmingham/>, the BBSRC<https://www.linkedin.com/company/bbsrc/> and The Centre for Human Brain Health (CHBH)<https://www.linkedin.com/company/thechbh/> for supporting this meeting. Please share in your networks! Organising Committee: Prof. Matthew Apps, University of Birmingham Prof. Mark Humphries, University of Nottingham Prof. Mark Walton, University of Oxford Dr. Laura Grima, HHMI’s Janelia Research Campus Dr. Tiago Monteiro, University of Aveiro Dr. Adithya Rajagopalan, NYU Emma Scholey, University of Birmingham Kubra Karatas, University of Birmingham This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Oct. 13, 2025

Denis Mareschal speaking on Thursday, October 16 in Developing Minds global online lecture series

by Jochen Triesch

Dear colleagues, On October 16, the Developing Minds global online lecture series is proud to host Denis Mareschal from Birkbeck College London, UK, speaking on: "The challenges and rewards of pursuing real-word Developmental Science“. Thursday, October 16, 2025: 10:00 am EST (Eastern Standard Time, US) 15:00 UTC (Universal Coordinated Time) 16:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/67246871085?pwd=4s1XHEOL4tihLhbbqVwprgBih… Meeting-ID: 672 4687 1085 Kenncode: 745870 Abstract: Historically, the understanding of the brain-based mechanisms of learning in young children has relied on well-controlled lab-based experiments. This was for good scientific reasons. First, there was a drive to isolate individual causes of behaviours and therefore to carefully control the environments in which children behaved during a study. Moreover, the equipment required to assess the neural correlates of behaviours were cumbersome and difficult to move so children's mobility had to be restricted. Recent developments in wearable and wifi-enhanced technologies have now allowed us to literally "untether" children and explore their brain and behaviour as they move around and interact naturally. This has opened new avenues for research, but has equally revealed important new challenges to the way that we approach developmental sciences. In this seminar, I will draw on my lab's recent work on children's sensory cue integration, neural synchrony during children's collaborative problem solving and the trials and tribulations of translating basic cognitive neuroscience research into real-world effective classroom interventions to highlight some of the challenges that contemporary developmental sciences faces. Short Bio: Professor Denis Mareschal is Director of the Centre for Brain and Cognitive Development, at Birkbeck University of London, and a founding member of the Centre for Educational Neuroscience. After completing a BA in Natural Science at Cambridge, he moved on to studying learning -- initially in the form of an MA in Psychology and Artificial Intelligence at McGill in Montreal, Canada and then through completing a DPhil in Psychology at Oxford. Professor Mareschal's research has focussed on identifying the mechanisms of learning and development in infancy and childhood through the combined use of behavioural studies, computational modelling and neuroimaging. He has received a number of awards for his work, including the Marr Prize from the Cognitive Science Society, the Young Investigator Award from the International Congress on Infant Studies and the Margaret Donaldson Prize from the BPS Developmental Section. Over the last 10 years he has led the UnLocke project (Unlocke.org) developing a neuroscience-based primary school maths and science education intervention. He is committed to taking neuroscience out of the lab and into the real-world, in terms of primary research and in terms of translational impact. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

Oct. 13, 2025

5th Applied Active Inference Symposium - November 12-14, 2025

by Zohreh Rahmannejad

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

Oct. 11, 2025

Technical assistant position in neuroscience at LMU Munich

by Anna Schroeder

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

Oct. 10, 2025

Call for Abstract and Register Now: EBRAINS Student Conference on Interdisciplinary Brain Research 2026

by Alper Yegenoglu

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

Oct. 10, 2025

Postdoc Position in Pediatrics

by Srinivas Kota

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

Oct. 10, 2025

Tenure-track assistant professor in computational neuroscience and/or cognition

by Haefner, Ralf

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

Oct. 9, 2025

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

by Auke Ijspeert

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

Oct. 8, 2025

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

by Paul Tiesinga

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

Oct. 8, 2025

PracticalMEEG2025: A few seats left

by Anne-Sophie Dubarry

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

Oct. 8, 2025

NITMB Postdoctoral Fellows: Call for Applications

by William L. Kath

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

Oct. 7, 2025

COSYNE 2026: Abstract submission closes soon; Travel grants

by Tomas Hromadka

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

Oct. 7, 2025

Postdoctoral and PhD Positions in Theoretical Neuroscience at SISSA, Trieste

by Francesca Mastrogiuseppe

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

Oct. 7, 2025

Joint Neuroscience/Computer Science Appointment: Open Rank, Tenured/Tenure Track Professor

by Weatherly, Christopher J

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

Oct. 7, 2025

TR: M2 internship: Modeling State Transition in Sleep and Attention

by DEPANNEMAECKER Damien

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

Oct. 6, 2025