- Comp-neuro - lists.cnsorg.org

Shanahan Foundation Fellowship at the Interface of Data and Neuroscience
by Anton Arkhipov Sept. 18, 2025

Sept. 18, 2025

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

1 0

SNUFA 2025 - Abstract submission closing soon
by Friedemann Zenke Sept. 17, 2025

Sept. 17, 2025

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

1 0

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

Sept. 17, 2025

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

1 0

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

Sept. 15, 2025

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

1 0

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

Sept. 15, 2025

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

1 0

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

Sept. 13, 2025

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

1 0

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

Sept. 12, 2025

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

1 0

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

Sept. 12, 2025

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

1 0

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

Sept. 12, 2025

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

1 0

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

Sept. 10, 2025

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

1 0

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

Sept. 10, 2025

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

1 0

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

Sept. 10, 2025

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

1 0

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

Sept. 10, 2025

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

1 0

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

Sept. 9, 2025

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

1 0

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

Sept. 8, 2025

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

1 0

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

Sept. 8, 2025

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

1 0

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

Sept. 8, 2025

Dear colleagues, On September 25, the Developing Minds global online lecture series is proud to host Uri Hasson from Princeton University, USA, speaking on: "Developing cognitively feasible learning agents that can acquire language like children through real-life experiences“. Thursday, September 25, 2025: 9:00 am EST (Eastern Standard Time, US) 14:00 UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 22:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/65594262654?pwd=2BdrxR1IvUy2rjn3dDmfEVGXy… Meeting-ID: 655 9426 2654 Access code: 141793 Abstract: Understanding how humans learn to think, speak, and interact in natural environments is one of the most significant scientific challenges. Traditional computational models perform well in artificial tasks but struggle to generalize to real-life ecological situations. In contrast, new deep learning models excel at processing real-world information and demonstrate cognitive abilities close to those of humans. However, these models are trained on impractically large datasets and use training protocols that are not cognitively feasible, which limits their ability to explain or predict human learning and cognitive development. This project aims to develop the first cognitively feasible learning agents—AI systems that learn language and cognition within constraints that mimic human development. Leveraging a unique dataset (the 1kD corpus)— continuous daily audio-visual recordings from 18 children’s first 1,000 days of life—we will train models directly on the ecologically valid, socially embedded experiences that shape children’s growth. Unlike large-scale industrial models, which depend on vast impersonal datasets, our approach emphasizes individual-centered, real-world input that captures the long-tail variability of human development. By replicating learning trajectories across multiple households, we will establish the first mechanistic framework for how natural input shapes children’s cognition. The project represents a bold shift from analyzing existing models to building new brain-inspired learning agents, directly addressing ecological validity and laying the foundation for a new generation of cognitive science. Short Bio: Uri Hasson grew up in Jerusalem. He studied philosophy and cognitive sciences at the Hebrew University as an undergrad. He completed his Ph.D. in Neurobiology at the Weizmann Institute in Israel and was a postdoctoral fellow at NYU before moving to Princeton. He is currently a Professor in the Psychology Department and the Neuroscience Institute at Princeton University. His research program aims to understand the neural basis of face-to-face, brain-to-brain, communication in real-world contexts, using big ECoG data and deep language models. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

1 0

Call for Presentations and Workshops: 5th Applied Active Inference Symposium (November 12-14, 2025)
by Zohreh Rahmannejad Sept. 6, 2025

Sept. 6, 2025

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

1 0

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

Sept. 5, 2025

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

1 0

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

Sept. 5, 2025

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

1 0

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

Sept. 5, 2025

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

1 0

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

Sept. 3, 2025

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

1 0

conference announcement
by Tom Verguts Sept. 3, 2025

Sept. 3, 2025

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

1 0

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

Sept. 2, 2025

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

1 0

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

Sept. 2, 2025

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

1 0