- Comp-neuro - lists.cnsorg.org

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

July 16, 2025

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

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

July 16, 2025

Dear All, You are welcome to attend the 20th rTAIM Online Seminar, with the participation of Diana Perez (Uni. Buenos Aires, Argentina), 16 July 2025, 3:00pm - 4:30pm (Lisbon Time) via Zoom with the title “Amplifying AI's problems in healthcare: the Case of Mental Health". Zoom info is available here: https://ifilosofia.up.pt/activities/seminar-20-rtaim We are also welcome to invite you to participate in the Workshop “Mind and Cognition”, with the in-person participation of: * Denis Walsh (Toronto University) * Eva Jablonka (Tel Aviv University) * Carl Craver (Washington University in St. Louis) * Hugh Desmond (Wageningen University) Registration is free (live stream will be available following this zoom info here: https://ifilosofia.up.pt/activities/workshop-mind-and-cognition) Moreover, registrations for Attending (non-speaker) for the 4th International Conference on Ethics of Artificial Intelligence (4ICEAI) is now open. You can register following this procedure: * please go to https://www.letras.up.pt/si/subscriptions?event=118 and choose your registration (if Student or Professional); * After the payment, you should send us the proof of payment to interconfethicsofai(a)gmail.com; * Only the Online Segment (24/25 July) will be live streamed; the In-Person Segment (28-30 July) requires in-person participation; * Venue: Faculdade de Letras da Universidade Porto, Via Panorâmica Edgar Cardoso s / n, 4150-564 Porto. Online: Zoom Platform (only for those registered); * Final Program will be available here: https://ifilosofia.up.pt/activities/4-international-conference-ethics-ai. Finally, paper submissions for a special issue on AI, 4E and Consciousness at the Journal of Artificial Intelligence and Consciousness is available here (deadline: 31 August 2025): https://www.worldscientific.com/page/jaic/callforpapers02. Sincerely yours, RTAIM Team

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Deep Math 2025 call for papers
by Ahmed El Hady July 15, 2025

July 15, 2025

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

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Postdoctoral Research Opportunity in the Institute of Machine Learning and Neural Computation at TU Graz
by Ozan Özdenizci July 15, 2025

July 15, 2025

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

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

July 15, 2025

We are organizing a Satellite Symposium of Japan Neuroscience Society meeting "Connecting Digital Brains Across the World” on July 23, 2025 at Toki Messe, Niigata, Japan: https://digitalbrainproject.github.io/home/JNS2025satellite.html On-site and online participation is free, not requiring a registration for the JNS main conference, but requires pre-registration from the above web site by July 18, 2025. Following short presentations, we will discuss what is a digital brain, how to build it, and how to use it. We welcome participants from wide fields including experimental/computational neuroscience and NeuroAI. Invited Speakers: Viktor Jirsa (Institut de Neurosciences des Systemes, France) Virtual Brain Twins for medicine Shinya Ito (Allen Institute, USA) Deep-learning-assisted simulation of a cortical circuit: integrating anatomy, physiology, and function Franco Pestilli (University of Texas at Austin, USA) Putting big data and AI to good use in neuroscience Sacha van Albada (Jülich Research Centre, Germany) Toward more standardized brain modeling to break the complexity barrier Saori Tanaka (ATR, Japan) A Brain Data Platform for the Digital Brain: Current Status and Future Directions Jason Ritt (Brown University, USA) Standardized Neuroscience Data Formats and Non-Standardized Scientists Charissa Poon (RIKEN CBS, Japan) A 3D transcriptomic and connectivity atlas of the adult marmoset brain Michael Denker (Jülich Research Centre, Germany) Kanso, Kaizen, Code: Three thoughts on finding Ikigai of digital brain science infrastructure Takuya Isomura (RIKEN CBS, Japan) Reverse engineering of generative models for predicting learning Organizers: Kenji Doya (OIST), Carlos Gutierrez (Softbank/OIST), Takuya Isomura (RIKEN CBS), Ken Nakae (Fukui University), Saori Tanaka (NAIST/ATR), Yukako Yamane (OIST) ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu CAUTION: This email originated from outside the organization. Do not click links or open attachments unless you recognize the sender and know the content is safe.

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

July 14, 2025

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

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

July 14, 2025

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

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

July 11, 2025

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

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

July 10, 2025

Hello! We are thrilled to announce the *School of Ideas in Neuroscience 2025*! How is knowledge in neuroscience accumulated? How can we make sense of the terabytes of empirical data collected every day? In our everyday work, we often forget that every scientific endeavor is embedded within a broader theoretical framework. At the same time, most courses and workshops in neuroscience focus on experimental techniques, providing us with more tools to gather more data—but rarely teaching us how to develop *ideas* and integrate our research with existing knowledge. We believe that theoretical thinking and idea development are skills that can be trained, just like learning new methodologies or data analysis tools. At our school, we aim to teach participants how to think theoretically—to collect data that makes sense and to make sense of the data collected. Come to Warsaw to discuss the most exciting *theories and ideas* with neuroscientists and philosophers! We provide beautiful surroundings, a great atmosphere, and plenty of time to talk and think together. The School will take place in *Warsaw, September 8–13, 2025*. The fee is *EUR 700*, but we offer *fee waivers* and *travel grants*. For more information and to apply, please visit: https://nenckiopenlab.org/the-school-of-ideas-in-neuroscience/school-of-ide… Best regards, The School of Ideas Team -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics – Ref. 2025/21
by Jaroslav Hlinka July 6, 2025

July 6, 2025

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

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

July 4, 2025

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

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

July 3, 2025

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

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

July 2, 2025

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BabyBench Competition Announcement
by Jochen Triesch July 2, 2025

July 2, 2025

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

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

July 2, 2025

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

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

July 1, 2025

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

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

July 1, 2025

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

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

July 1, 2025

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

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

June 30, 2025

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

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

June 30, 2025

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

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

June 28, 2025

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

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

June 27, 2025

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

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

June 27, 2025

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

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

June 27, 2025

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

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

June 27, 2025

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

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