- Comp-neuro - lists.cnsorg.org

Advancing Scientific Discovery with AI - Summer School | June 29 - July 3, 2025, Caen, France

by Frederic Jurie

Advancing Scientific Discovery with AI Summer School | June 29 - July 3, 2025, Caen, France https://ai4science.sciencesconf.org/ A program to learn and collaborate at the intersection of AI and scientific discovery. About the Summer School This summer school provides a platform for researchers and students from diverse scientific backgrounds to delve into Artificial Intelligence and its applications in scientific research. Over five days, participants will explore current techniques, learn from experienced specialists, and collaborate with peers on relevant scientific problems. Each day focuses on a specific application domain and the related AI methodologies. This program aims at exploring the potential of AI to accelerate research and improve our understanding of complex scientific phenomena. Program Overview Sunday, June 29, 2025 (5:00 PM - 8:00 PM) Welcome Reception: Participants can attend an evening of networking and introductions. Snacks will be served while participants share their motivations, backgrounds, and AI-related projects with fellow participants and speakers. Daily Structure Each day will be structured to facilitate learning and interaction, combining a variety of formats. Expect a blend of: Lectures: Comprehensive presentations introducing key concepts and theoretical frameworks. Hands-on Practical Sessions: Application of the newly learned AI techniques to concrete scientific problems, in dedicated labs. Conferences: Seminars led by specialists in their respective fields. Exchange and Discussion Sessions: Engaging discussions to reinforce understanding and explore diverse perspectives, led by a scientific personality. Breaks and Free time: Time to recharge and connect with participants and speakers. Monday, June 30, 2025 (9:00 AM - 7:00 PM) Theme: AI for Medical Applications Focus: Medical Image Processing. AI Foundations: Machine learning and deep learning basics, convolutional neural networks. Participants will explore how AI algorithms, specifically convolutional neural networks, are used in medical diagnostics and analysis from image processing. Tuesday, July 1, 2025 (9:00 AM - 7:00 PM) Theme: AI for Simulation Acceleration Focus: Accelerating simulations in fields such as astronomy. AI Foundations: Generative models. Participants will learn about the potential of generative models in accelerating scientific simulations, exploring their application in high-performance computing. Wednesday, July 2, 2025 (9:00 AM - 7:00 PM) Theme: AI for Inverse Problems Focus: Sensor localization in magnetometry and related fields. AI Foundations: Physics-inspired neural networks. Participants will discover the application of physics-inspired neural networks to solve inverse problems, using physical laws to constrain the neural architectures. A part of the afternoon will be dedicated to a social event at the Caen Town Hall. Thursday, July 3, 2025 (9:00 AM - 7:00 PM) Theme: AI for Materials Science Focus: Materials discovery and characterization. AI Foundations: Uncertainty quantification, Bayesian models. Participants will learn about the use of AI for materials discovery, combining Bayesian methods with deep learning to provide uncertainty in material predictions. Friday, July 4, 2025 (9:00 AM - 5:00 PM) Theme: AI for Particle Physics Focus: Analysis of particle physics data and anomaly detection. AI Foundations: Deep learning for physics data analysis, anomaly detection. Participants will explore the application of deep learning techniques in particle physics, focusing on data analysis and anomaly detection in large datasets obtained from colliders and telescopes. Application Process Individuals interested in applying should submit the following: A letter of motivation explaining your interest in the summer school and how it relates to your research. A detailed CV outlining your educational background, skills, and any relevant research experience. The selection process aims to ensure a diverse group of participants from different scientific fields, with a range of expertise levels. Please submit your application at https://ai4science.sciencesconf.org/ Further Information The names of the scientific personalities leading each day and the full list of speakers will be announced shortly. For further inquiries, please do not hesitate to contact us at ai4science(a)sciencesconf.org. We look forward to receiving your application and welcoming you to this enriching summer school experience!

March 7, 2025

Call for contribution and registration to the Systems Vision Science Symposium: Aug. 20-22, 2025, in Tuebingen, Germany

by Pavlovic, Maria

Systems Vision Science Symposium <https://summerschool.lizhaoping.org/contributions-for-symposium/> Aug. 20-22, 2025 in Tübingen, Germany<https://summerschool.lizhaoping.org/contributions-for-symposium/> Our symposium takes place at the end of our Systems Vision Science Summer School <https://summerschool.lizhaoping.org/> Aug. 11-22, 2025. 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, Larry Maloney, Keith May, Marcello Rosa, Jonathan Victor, Li Zhaoping. -------------------------------- We invite you to participate in and contribute (in form of posters) to the symposium. Your contribution will be 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. -------------------------------- To contribute or participate, please fill out the appropriate form at https://summerschool.lizhaoping.org/contributions-for-symposium/ The deadline for symposium contribution is April 30, 2025. Registration for participation without contribution is open until venue capacity (100) is reached. Interested in participating in the summer school before the symposium? You could apply to the summer school by March 31, see https://summerschool.lizhaoping.org/ Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing team: Li Zhaoping Maria Pavlovic Vladislav Aksiotis Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org<http://www.lizhaoping.org>

March 7, 2025

Abstract submission open for the UK Neural Computation meeting July 9-11, Imperial College London

by Mark Humphries

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

March 6, 2025

Call for applicants: IRCN and Chen Institute Joint Course on Neuro-inspired Computation

by nagai.yukie＠mail.u-tokyo.ac.jp

Dear colleagues, The International Research Center for Neurointelligence (IRCN), the University of Tokyo has opened the call for applications for the "IRCN and Chen Institute Joint Course on Neuro-inspired Computation" to be held at ICHIJO HALL, the UTokyo Yayoi Campus from July 2 to 5, 2025. https://ircn.jp/en/events/07_ircncourse2025 In a collaborative effort, the World Premier International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo and the Tianqiao & Chrissy Chen Institute (Chen Institute) are proud to present the Neuro-inspired Computation Course, a groundbreaking program designed to explore the convergence of natural and artificial intelligence. This course delves into critical topics such as intrinsic dynamics, network architectures, prediction, plasticity, criticality, multi-agent learning, and neuromodulation, highlighting the potential for interdisciplinary innovation in advancing our understanding of cognitive processes. The course is an intensive 4-day program comprising lectures by distinguished international faculty, poster sessions, and interactive discussion sessions. These three pillars of the program help participants deepen their understanding and enhance their expertise in neuroscience and artificial intelligence. The lectures showcase cutting-edge research from around the world, while the poster sessions provide participants with a platform to present their own research. The discussion sessions foster interdisciplinary dialogue, encourage intellectual exchange, and pave the way for future collaborations. = Course details = Dates: July 2 (Wed)-5 (Sat), 2025 Venue: Yayoi Auditorium Ichijo Hall (Inside UTokyo Yayoi Campus ) Language: English Application (Required by April 11, 2025 1500hrs, JST): See the homepage for detailed instructions = Speakers = Eugene Izhikevic (Brain Corp) Mackenzie Mathis (EPFL) Kazuyuki Aihara (WPI-IRCN, The University of Tokyo) Shin Ishii (Kyoto University / WPI-IRCN, The University of Tokyo) Eleonora Russo (Scuola Superiore Sant'Anna, Pisa) Zenas Chao (WPI-IRCN, The University of Tokyo) Takamitsu Watanabe (WPI-IRCN, The University of Tokyo) Hiroaki Kitano (Sony / OIST) Kenichi Ohki (WPI-IRCN, The University of Tokyo) Yukie Nagai (WPI-IRCN, The University of Tokyo) Song Sen (Tsinghua University) Others For enquiries, please contact: course(a)ircn.jp We look forward to receiving applications from all over the world. If you know someone who might be interested, please kindly forward this information to them. Best regards, Yukie Nagai, on behalf of the organizing committees — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

March 6, 2025

Lecturer/Senior Lecturer Position in Australia - Monash University

by Elizabeth Zavitz

Dear colleagues, Please find below an advertisement for a Lecturer or Senior Lecturer position in the Department of Electrical and Computer Systems Engineering at Monash University, Melbourne, Australia. Monash Careers – Lecturer/Senior Lecturer <https://careers.pageuppeople.com/513/cw/en/job/675715/lecturer-senior-lectu…> In this role, you will make significant contributions to teaching, engage with students, and collaborate with colleagues in delivering innovative courses. Your work will complement our strengths in control systems, wireless technology, signal processing, and AI techniques, underpinned by expertise in electronics, RF, sensors, energy systems, and computing devices—driving real-world applications that fuel innovation. You will also lead transformative research, contributing to global challenges through impactful work and collaboration. The application deadline is April 2nd, 2025, 11:55 pm AEDT. Please feel free to share this opportunity with interested colleagues. For any inquiries, do not hesitate to reach out. Best Regards, Elizabeth Zavitz Electrical and Computer Systems Engineering Monash University, Australia

March 6, 2025

Computational and Cognitive Neuroscience Summer School application open!

by Chengcheng Huang

Applications are open for the 13th Computational and Cognitive Neuroscience Summer School (CCNSS), which will be held from *June 29 to July 20, 2025*, at *Suzhou, China*. Online application: https://www.csh-asia.org/?content/2621 <https://www.csh-asia.org/?content/2621=> Application deadline: *March 31, 2025* About CCNSS: Designed to emphasize computational principles and neural circuit mechanisms of higher cognitive functions, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale brain systems and artificial intelligence and psychiatric disorders. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. 2025 Faculty: João Barbosa, Institute for Neuromodulation & NeuroSpin, Paris Upinder Bhalla, National Centre for Biological Sciences (TIFR) Áine Byrne, University College Dublin Xing Chen, University of Pittsburgh Gustavo Deco, Universitat Pompeu Fabra Michael Häusser, University College London Chengcheng Huang, University of Pittsburgh Kevin Wenliang Li, Google DeepMind Songting Li, Shanghai Jiao Tong University Sukbin Lim, New York University, Shanghai Jorge Mejias, University of Amsterdam Yuanyuan Mi, Tsinghua University Srdjan Ostojic, École normale supérieure Alexander Reyes, New York University Xiao-Jing Wang, New York University Anqi Wu, Georgia Institute of Technology Si Wu, Peking University Organizers: Áine Byrne, University College Dublin Chengcheng Huang, University of Pittsburgh Songting Li, Shanghai Jiao Tong University Jorge Mejias, University of Amsterdam Xiao-Jing Wang, New York University Note: China adopts a unilateral visa-free policy for Germany, France, Italy, the Netherlands, Spain, Malaysia, Switzerland, Ireland, Hungary, Austria, Belgium, Luxembourg, New Zealand, Australia, Poland, Portugal, Greece, Cyprus, Slovenia, Slovakia, Norway, Finland, Denmark, Iceland, Andorra, Monaco, Liechtenstein, South Korea, Bulgaria, Romania, Croatia, Montenegro, North Macedonia, Malta, Estonia, Latvia and Japan until December 31, 2025. Ordinary passport holders from the above-mentioned countries may enter China visa-free for business, tourism, family visit or transit for no more than 30 days. -- Dr. Chengcheng Huang Assistant Professor Department of Neuroscience Department of Mathematics University of Pittsburgh

March 5, 2025

Comp Neuro PhD position, Moreno-Bote Lab, Barcelona

by Ruben Moreno Bote

PhD Position in Computational Neuroscience, Ruben Moreno-Bote Lab Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain 1 fully funded PhD position is available in the group of Theoretical and Computational Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with a Physics, Mathematics or Computer Science background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state-of-the-art theory and models of natural and artificial intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of the Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab https://sites.google.com/view/morenobotecompneuro?pli=1 forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: flexible, from September 2025

March 5, 2025

NeuroML at Google Summer of Code 2025: looking for candidates for standardised biophysically detailed modelling project

by Ankur Sinha

Dear all, NeuroML[1] is participating in Google Summer of Code under the INCF again this year[2]. You can read more about NeuroML in our paper here[3]. We are looking for candidates with some experience of biophysically detailed modelling to work on our project "Developing standardised biophysically detailed neuronal circuit models using NeuroML/PyNN/Open Source Brain". The idea of the project is to either develop new models using NeuroML (and PyNN and publishing them on Open Source Brain), or standardising existing published models. The project is perfect for PhD candidates that are working on projects that use biophysically detailed computational modelling. We will help them learn NeuroML and its vast software ecosystem to implement their models and simulations in a standardised way from the beginning. Please do tell your colleagues, especially your students, and get in touch if there is anything we can help with. [1] https://docs.neuroml.org [2] https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-… [3] https://elifesciences.org/articles/95135 -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

March 5, 2025

Allen Institute Modeling Software Workshop

by Anton Arkhipov

Dear Colleagues, Applications<https://alleninstitute.submittable.com/submit/306603/2025-allen-institute-m…> for the Allen Institute Modeling Software Workshop<https://alleninstitute.org/events/2025-modeling-software-workshop/> are open until March 15th, 2025. We hope you will apply and look forward to hosting this workshop on July 28-30, 2025 at the Allen Institute in Seattle, WA. This hands-on workshop focuses on building and simulating complex and heterogeneous network models grounded in real biological data. Participants will learn to use BMTK, SONATA, VND, our data, and models for simulating brain circuits. Selected applicants will be notified by May 1, 2025. Limited travel funding is available. We are looking forward to hearing from you. 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/>

March 5, 2025

Human Neocortical Neurosolver (HNN) Online Workshop

by Gao, Joyce

Dear all, We invite you to join us for our 2025 Spring Online Human Neocortical Neurosolver (HNN) Workshop! HNN is a user-friendly software tool for interpreting the cell and circuit level origin of human MEG and EEG signals (Neymotin et al 2020, https://hnn.brown.edu) This workshop will be hosted virtually on Wednesday, April 9th from 9 AM - 3 PM (ET). You can find out more about the workshop and sign up here: tinyurl.com/hnn-workshop-registration. Seats are limited, so if you are interested, we recommend signing up today! Our best, Jones Computational Neuroscience Lab Brown University, Carney Institute for Brain Science

March 4, 2025