- Comp-neuro - lists.cnsorg.org

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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NeuroAI workshop at CNS2025 (9 July, 2925)
by Chen, Zhe June 25, 2025

June 25, 2025

Dear Colleagues, We are excited to announce the upcoming CNS*2025 Workshop "BRAIN 2.0: Emerging Topics in NeuroAI”, to be held on Wednesday, July 9, 2025, in Florence, Italy. https://cns2025florence.sched.com/event/f85c99dfa3e704f591b8c17bfb732e86 This workshop is inspired by the goal of the NIH BRAIN (Brain Research Through Advancing Innovative Neurotechnologies) Initiative to develop theories, models, and methods to understand brain functions and their causal links to behaviors. The modern advances in neuroscience and AI have generated growing interests in NeuroAI, as witnessed by the feedback from the recent NIH BRAIN NeuroAI workshop (Nov. 12-13, 2024). Briefly, NeuroAI is aimed to, first, use AI to understand and improve the brain and behaviors, and second, to develop brain-inspired AI systems for robust, faster and more efficient operations and performances. Motivated by the new wave and developments in NeuroAI, this workshop invites leading experts and new investigators from various research backgrounds to discuss many emerging research topics. The goal of this full-day workshop is to focus on building the bridge between AI and neuroscience, to discuss new research directions and outstanding questions, and to foster team collaborations and open science. Research topics of interest include but not limited to neural transformers and foundation models, new neural network architectures, distributional or meta reinforcement learning, structural reasoning and inference, large language models (LLMs), and digital twins brain. The format of the workshop will consist of both overview-like and research-oriented lecture presentations as well as panel discussions. Below is the list of speakers (in alphabetical order) and titles: Z. Sage Chen (NYU), Multiplicative couplings facilitate learning and flexibility in recurrent neural circuits Rui Ponte Costa (Oxford), Learning across the brain: a NeuroAI perspective Tatiana Engel (Princeton), Closing the discovery loop with digital twins and causal perturbations Michael M. Halassa (Tufts), Thalamocortical architectures for cognitive control and flexibility Daniel Levenstein (MIla/McGill), NeuroAI as a platform for theory development: lessons from hippocampal representation and replay Kevin Miller (Google Deepmind), Automatically discovering neuroscience theories from data Gaspard Oliviers (Oxford), Bidirectional predictive coding: Towards robust inference and versatile learning in the brain Seng Song (Tsinghua), Brain inspired learning rules and evolutionary computing Naoshige Uchida (Harvard), Distributional reinforcement learning in the brain We are looking forward to your participation and discussion. Zhe Sage Chen, PhD ------------------------------------------------------------ This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email. =================================

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CNS*2025 workshop 'The computational logic of predictive processes'
by aurelio cortese June 25, 2025

June 25, 2025

Dear Colleagues, We are excited to announce the workshop "The computational logic of predictive processes: a 25-year perspective" at *CNS*2025*, which will take place on *July 9* in *Florence*, Italy. This workshop will provide a platform to discuss new data and theories on adaptive decision-making and learning. Talks will cover the neurobiological and computational basis of learning and flexible behaviours in humans, non-human primates and rodents, as well as work using artificial neural networks to gain deeper insight into these novel mechanisms. Details about the program can be found on our workshop page <https://docs.google.com/document/d/113IeafkwqqYiOSHTyFNfY80v2ObbOzwOvL3uUvS…> . Below is the list of *confirmed speakers*: Abhishek Banerjee (Oxford University / Queen Mary University of London, UK) Andrea Benucci (Queen Mary University of London, UK) Aurelio Cortese (ATR Institute International, Japan) Armin Lak (Oxford University, UK) Silvia Maggi (University of Nottingham, UK) Rohan Rao (Newcastle University / Oxford University, UK) Erin Rich (New York University, USA) Matthias Tsai (Bern University, Switzerland) Please feel free to share this with anyone you think may be interested. We are looking forward to seeing you soon in Florence! Best wishes from Oxford, Kyoto, Nottingham, and New York, Abhi, Aurelio, Silvia, and Erin

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Summer School on Computational Decision Sciences – 8-12 September 2025, London
by Sidarus, Nura June 25, 2025

June 25, 2025

Dear all, It’s my pleasure to announce the Summer School on Computational Decision Sciences (SS-CDS)––the first summer school of the Center for Decision Sciences at Royal Holloway, University of London. https://center-decision-sciences.com/cds-summer-school/ What SS-CDS will bring together an interdisciplinary audience tackling decision making in different scientific fields. The focus is on mathematical and computational modelling, integrating concepts and methods from mathematical psychology, computational psychiatry, computational neuroscience, computational social sciences, machine learning, and cultural evolution. Attendees will benefit from content talks from international leading researchers and practical hands-on sessions. Attendees will also have the opportunity to deliver presentations, receive career advice during social networking events, and reflect critically about research practices in EDI sessions. Where and When SS-CDS will take place at Stewart House, within Senate House, in Central London, on September 8th-12th . Target audience SS-CDS is targeted towards attendees from diverse fields (e.g., psychology, neuroscience, social sciences, computer science, etc.) and career stages (masters, PhD, postdoc, and junior PI). Prerequisite A basic background knowledge in elementary statistics (e.g., probability theory) and programming in Python/R is highly recommended to master the technical skills, but no prior experience with computational modelling is required. Registration Thanks to generous funding provided by the British Academy and the Department of Psychology at Royal Holloway attendance to SS-CDS is free of charge. However, places are limited and will be allocated on a first-come, first-served basis until capacity is reached. To sign up, fill out this form<https://qualtricsxm4dv86z4fr.qualtrics.com/jfe/form/SV_6RpfZELVTnSDzH8> by Monday, August 11th, at 10am UK time. Please feel free to share this information with anyone you think might be interested in participating. Looking forward to seeing you all in September. Best wishes, Gabriele, Andreu, Nura, Anand This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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[Announcement] New Calcium Imaging Analysis Framework: OptiNiSt
by Yukako Yamane June 25, 2025

June 25, 2025

Dear Neuroscience Community, We are pleased to announce the publication of a paper describing OptiNiSt (Optical Neuroimage Studio), a new open-source framework for calcium imaging data analysis. OptiNiSt was developed as part of the AMED(Japan Agency for Medical Research and Development) Brain/MINDS project. Article: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013… OptiNiSt is a flexible and reproducible pipeline construction tool that supports calcium imaging data analysis. Featuring an intuitive graphical user interface, it facilitates data sharing and standardization of analysis workflows across research groups. GitHub (source code): https://github.com/oist/optinist Documentation & Tutorials: https://optinist.readthedocs.io/en/latest/ We hope OptiNiSt will be a helpful tool for your research. Feedback and questions are always welcome. Best regards, Yukako Yamane (yukako.yamane(a)oist.jp) & Kenji Doya Neural Computation Unit Okinawa Institute of Science and Technology (OIST)

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CNS*2025 Workshop "Brains and AI" - Speaker Lineup and Schedule
by Vassilis Cutsuridis June 24, 2025

June 24, 2025

Dear Colleagues, We are excited to announce the upcoming *CNS*2025 Workshop* *"Brains and AI"*, to be held on *Wednesday, July 9, 2025, in Florence, Italy*. This workshop will explore the intersection of neuroscience and artificial intelligence - bringing together researchers applying AI to brain data and those leveraging insights from neuroscience to build better AI systems. https://users.sussex.ac.uk/~tn41/CNS2025_workshop/ <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fusers.sus…> Advances in neuroscience techniques have dramatically increased the volume of data we can now collect from animal and human brains. However, this surge in data has introduced new challenges in extracting meaningful insights. Fortunately, these developments have coincided with breakthroughs in artificial intelligence (AI), which holds the potential to transform how we analyze and utilize scientific information. While there is significant potential here, we are just starting to figure out how to apply modern AI models to interpret and process scientific data, and significant challenges remain. The trend of applying AI to better understand the brain concurs with another reviving trend: applying knowledge from neuroscience to developing new AI. Indeed, despite the tremendous progress, the existing generation of AI shows significant limitations, including a lack of continual learning, poor generalization, dependence on enormous amounts of data for training, bias, and safety problems. These are features where the biological brain excels, highlighting the strong need to learn once more from neuroscience how to develop the next generation of AI. The proposed workshop will combine these two complementary trends, bringing experts from the field together to discuss how AI can facilitate new scientific discoveries and how knowledge of the brain can help improve AI. Below is the list of confirmed speakers: - Fleur Zeldenrust - Vassilis Cutsuridis - Spyridon Chavlis - Andreas Tolias *(online)* - Robert Legenstein - Max Garagnani - Martin Trefzer - Julian Göltz - Maxim Bazhenov - Dhireesha Kudithipudi - Thomas Nowotny The workshop will conclude with a panel discussion and open debate. We look forward to your participation in what promises to be a thought-provoking and engaging event. Thomas Nowotny, Vassilis Cutsuridis, Maxim Bazhenov

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NEURON and NetPyNE tutorial at CNS*2025, July 5, 2025
by McDougal, Robert June 24, 2025

June 24, 2025

Dear colleagues, This July 5th, there will be a “Building mechanistic multiscale models with NEURON and NetPyNE” tutorial at CNS*2025, all day in room 6. To attend, please be sure you have registered for the tutorials at the conference: https://www.cnsorg.org/cns-2025-registration This tutorial will introduce multiscale modeling using NEURON 9.0 and NetPyNE. The tutorial will combine background, examples and hands on exercises covering the implementation of models at four key scales: * single neuron electrophysiology (e.g. action potential propagation), * intracellular dynamics (e.g. calcium buffering, protein interactions), * neurons in extracellular space (e.g. spreading depression), and * networks of neurons. For single cell simulations, we will utilize NEURON through Python, simulating point cells and incorporating realistic morphology information from NeuroMorpho.Org. For network simulations, we will use NetPyNE, a high-level interface to NEURON supporting both programmatic and GUI specification that facilitates the development, parallel simulation, and analysis of biophysically detailed neuronal circuits. We conclude with an example that links intracellular molecular dynamics with network spiking activity and local field potentials. The NetPyNE tutorial will be carried out online using the Open Source Brain web platform (http://v2.opensourcebrain.org) and will include an introduction to NeuroML, a standardized computational neuroscience language to describe detailed models of neurons and neural networks. The tutorial highlights recent substantial developments and new features in both NEURON and NetPyNE. Basic familiarity (e.g. loops, functions, variables, if) with Python is recommended. No advanced programming experience or prior knowledge of NEURON or NetPyNE is required. Speakers will include: Salvador Dura-Bernal, William W Lytton, Robert A McDougal, and Adam JH Newton Preliminary Schedule: 09:00 -0 9:20 Introduction to multiscale modeling (WWL) 09:20 - 10:10 NEURON scripting (RAM) 10:10 - 10:40 Coffee break 10:40 - 12:00 Reaction-diffusion simulations (AJHN) 12:00 - 13:00 Lunch break 13:00 - 14:30 NetPyNE graphical web application (SD) 14:30 - 15:00 Coffee break 15:00 - 16:00 NetPyNE scripting (SD) Best regards, Robert McDougal

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