- Comp-neuro - lists.cnsorg.org

Andrew Barto speaking in Developing Minds Lecture Series on June 25

by Jochen Triesch

Dear colleagues, On June 25, the Developing Minds global online lecture series is proud to host Andrew Barto, Prof. Emeritus of Univ. of Massachusetts Amherst, USA, speaking on „Rediscovering Reinforcement Learning“. His talk will take place at: 10:00 am EDT (Eastern Daylight Time, USA) 14:00 UTC (Universal Coordinated Time) 16:00 CEST (Central European Summer Time) 23:00 JST (Japan Standard Time). The talk will be hosted via zoom: https://uni-frankfurt.zoom-x.de/j/62410045708?pwd=EmEDiJtB0NZ0XPbSBngt6sbx2… Meeting-ID: 624 1004 5708 Kenncode: 883974 Abstract: The idea of reinforcement learning (RL) as a key principle of animal learning has been around at least since Edward Thorndike proposed the “Law of Effect” in 1898. Machine implementation of this principle began with electro-mechanical machines in the 1930s, and the earliest idea for computer implementation was probably Turing’s 1948 proposal of a computer implementation of a “pleasure-pain system”. In this talk I review what has followed Turing’s unimplemented proposal, starting with the first computer experiments in 1954, up to what we now know as modern computational RL. Short Bio: Andrew Barto is Professor Emeritus of Computer Science, University of Massachusetts Amherst, having retired in 2012. He served as Chair of the UMass Department of Computer Science from 2007 to 2011. He received a B.S. with distinction in mathematics from the University of Michigan in 1970, and a Ph.D. in Computer Science in 1975, also from the University of Michigan. He joined the Computer Science Department of the University of Massachusetts Amherst in 1977. Before retiring he co-directed the Autonomous Learning Laboratory at UMass Amherst, which produced many notable machine learning researchers. Professor Barto is a Fellow of the American Association for the Advancement of Science (AAAS) and a Fellow and Life Member of the IEEE. He received the 2004 IEEE Neural Network Society Pioneer Award for contributions to the field of reinforcement learning, the IJCAI-17 Award for Research Excellence for groundbreaking and impactful research in both the theory and application of reinforcement learning, and a University of Massachusetts Neurosciences Lifetime Achievement Award in 2019. Most recently, he and his former doctoral student, Richard Sutton, were co-recipients of the 2024 Association for Computing Machinery’s A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning, and he and Sutton received the 2026 IEEE Frank Rosenblatt Award for contributions to reinforcement learning and artificial intelligence. He has published over one hundred papers or chapters in journals, books, and conference and workshop proceedings. He is co-author with Sutton of "Reinforcement Learning: An Introduction," MIT Press, 1998. A much expanded second edition was published in 2018. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt Recent publications: https://www.nature.com/articles/s41467-025-64234-z https://ieeexplore.ieee.org/abstract/document/11204381?casa_token=RBlsm2RTa…

June 22, 2026

Funded postdoctoral position in non-human primate electrophysiology in the Michaels Lab

by Jonathan Michaels

Hi all, The Neural Control & Computation Lab at York University in Toronto, Canada, is recruiting a Postdoctoral Fellow. Under the direction of Jonathan Michaels, Ph.D., the fellow will investigate the neural basis of learning, flexible neural computation, and skilled movement control using large-scale electrophysiology from single-neuron populations in non-human primates, including high-density Neuropixels recordings and our recently developed capability for wireless, chronic Neuropixels recordings during naturalistic behavior. The fellow will be encouraged to develop an independent line of research within these themes. The fellow will join an exceptional and fast-growing neuroscience community. The lab is housed in York’s brand new, state-of-the-art Neuroscience Facility, which includes lab and office space for multiple neuroscience research labs and access to shared infrastructure such as MRI and CT. York is home to a collaborative community spanning the Centre for Integrative and Applied Neuroscience (CIAN), the Centre for Vision Research (CVR), and the Connected Minds (Neural and Machine Systems for a Healthy, Just Society) initiative. Toronto – Canada’s largest and most diverse city – offers a dense concentration of neuroscience research and an incredible culture and environment. This is a two-year funded position, with the potential for extension, offering a competitive salary (starting at $65k/year), benefits, and a negotiable start date (earliest September 2026). Visa and moving support are provided for international applicants. Applicants should hold a Ph.D. in Neuroscience or a closely related discipline. Favorable consideration will be given to candidates with expertise or substantial interest in one or more of the following: non-human primate electrophysiology, large-scale neural data analysis, computational modeling of neural circuits or motor control, and a strong record of research productivity. To apply, please email the following to Dr. Michaels: a cover letter describing your research experience and interests and how they align with the lab, a CV, one to two representative publications or preprints, and the names and contact information of two references. Review of applications will begin immediately and continue until the position is filled. https://www.ncclab.ca/join-the-lab (link to job ad and more info) Best, Jonathan __________________________________ Jonathan A. Michaels, Ph.D. Assistant Professor Neural Control & Computation Lab School of Kinesiology & Health Science York University

June 21, 2026

World wide VVTNS series (6th season): June 24 2026 | From Cajal’s Spines to Digital Neurons: Connectomics View on Dendritic Computations | Idan Segev, The Hebrew University of Jerusalem

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the VVTNS Sixth Season Closing Lecture Idan Segev The Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem on the topic of From Cajal’s Spines to Digital Neurons: Connectomics View on Dendritic Computations The lecture will be held on Zoom on June 24, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Dendritic spines are among the smallest structures in the brain, yet they hold some of the deepest clues to how neurons compute and store memories. In this lecture, I will revisit the classical question of spine biophysics in the new age of connectomics, where nanometer-resolution electron microscopy allows us to reconstruct whole neurons with thousands of synapses and spines. I will show how spine density, spine-neck resistance, and the irregular geometry of individual spines can shape local synaptic signals, generate fast voltage dynamics, influence excitatory/inhibitory gating, and affect communication between neighboring spines. I will then discuss how automated reconstruction pipelines and biophysical modeling now make it possible to build digital neurons at spine and synapse resolution, and how AI-based approaches, such as our new AI-based TwinProp algorithm, allow us to ask - and get answer - to a fundamental question: what can a neuron compute? I will end by claiming that we now enter a new age of connectomics that provides an essential constraint on understanding how synapses, neurons, and circuits perform their computational functions. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ

June 21, 2026

Fully funded openings for international postdocs at the Tchumatchenko lab

by Tatjana Tchumatchenko

Dear friends and colleagues, I am looking to recruit international postdoctoral fellows to my lab. It would be great to attract scientists who didn't have yet exposure to the German neuroscience community and who would bring complementary expertise and perspectives. *Two postdoc positions (m/f/d) are available in the Tchumatchenko group.* The Tchumatchenko Group is seeking to attract two highly motivated postdoc candidates (0-5 years post PhD) to conduct research in the field of computational neuroscience. Prof. Tatjana Tchumatchenko was recently appointed a Henriette Herz scout at the Alexander von Humboldt foundation and is looking to attract two international postdocs though this funding scheme [1]. The ideal candidate will be an international, highly motivated, scientifically curious postdoctoral fellow with a strong work ethic and a PhD degree in life sciences, Neuroscience, Physics, Mathematics, Engineering or similar disciplines who looking to answer open question in computational neuroscience. Great social skills, excellent command of the English language and enthusiasm for working in a competitive interdisciplinary research team are essential. Potential scientific projects should lie either at the boundary between behavioral analysis and circuit neuroscience or at the boundary between molecular dynamics and circuit neuroscience: how is the molecular dynamics organized across the brain and what are statistical differences across cell types? How can we design computational models and conduct data analysis at the level transcriptomes and proteomes to understand the implementation of physiological and behavioral conditions across the brain? How can we relate learning at the level of synapses and circuits to behavioral changes observed in animals? Can we identify behavioral states and link them to particular circuit activity states? Please send your application together with a cover letter, a CV with contact details from one academic reference and copies of all relevant degree certificates to tatjana.tchumatchenko(a)uni-bonn.de. Please include in your subject line “AvH Application your name”. We are looking forward to your application! Duration and salary will be according to the fellowship scale of the Alexander von Humboldt foundation. Start date negotiable. [1] https://www.humboldt-foundation.de/bewerben/foerderprogramme/henriette-herz… Best wishes, Tatjana Tchumatchenko -- Tatjana Tchumatchenko Professor (W3) for Computational Neuroscience of Behavior Chair Bonn Center for Neuroscience co-Speaker TRA Life and Health __________________________________________________ Institute for Experimental Epileptology and Cognition Research Medical Faculty, University of Bonn Am Propsthof 49 53121 Bonn www.tchumatchenko.de

June 20, 2026

Call for Abstracts – 2 July 2026, Uni. Porto, Workshop "Ethics and Politics of AI" [deadline: 20 June 2026]

by steven gouveia

[Call for Abstracts] Workshop Ethics and Politics of Artificial Intelligence 2 July 2026 | 10h00-17h00 | Casa dos Livros (Palacete Burmester - Rua do Campo Alegre, 1055, 4150-181 Porto - Portugal) The Workshop: Ethics and Politics of AI brings together researchers, academics, and graduate students to examine central ethical and political questions raised by contemporary artificial intelligence. The workshop welcomes contributions from moral and political philosophy, philosophy of technology, applied ethics, law, social theory, and related interdisciplinary fields. Its aim is to promote focused discussion on the institutional, normative, and democratic challenges created by AI systems in contemporary societies. The final deadline to submit proposals is June 20, 2026. KEYNOTE SPEAKERS: * Chiara Cordelli is Professor of Political Science at the University of Chicago. * Radu Uszkai is a Lecturer and Researcher at the Bucharest University of Economic Studies and the Research Centre in Applied Ethics. Topics might include (but are not limited to): 1. AI, democracy, and political authority 2. Responsibility, accountability, and institutional design 3. Fairness, bias, and structural injustice 4. Transparency, explainability, and public justification 5. AI governance, regulation, and human rights 6. Privacy, surveillance, and data politics 7. AI, labour, education, and inequality 8. Misinformation, manipulation, and epistemic harms 9. Healthcare, Law and Educational Impact of AI 10. Environmental and infrastructural ethics of AI Language of the workshop: English. Attendance: Free. In-person only. Note: There will be no fee to participate as a speaker in this workshop. Please note that we are unable to provide financial support for travel, accommodation, or meals for accepted speakers. SUBMISSIONS: * Proposals should include two files in Word format (PDF formats will not be accepted): * (1) a cover page with identification and clear academic affiliation * (2) an anonymized title and abstract (maximum 250 words, up to 5 references) * sent to stevensequeira92(a)hotmail.com<mailto:stevensequeira92@hotmail.com> * Paper duration: 30 minutes (20 minutes presentation + 10 minutes for discussion); * Notification Info: notification of acceptance or rejection will be given after review of the submitted proposal; * Publications: selected papers may be considered for future publication projects; the publication process will be independent and optional; * Any doubts or concerns can be addressed to: stevensequeira92(a)hotmail.com<mailto:stevensequeira92@hotmail.com> Info: https://ifilosofia.up.pt/activities/workshop-ethics-politics-ai Venue: Casa dos Livros, Palacete Burmester - Rua do Campo Alegre, 1055, 4150-181 Porto - Portugal Organization: Steven S. Gouveia (IF/UP) CEEC Project by FCT 2022.02527.CEECIND Mind, Language and Action Group (MLAG) Instituto de Filosofia da Universidade do Porto – UID/00502/2025 Fundação para a Ciência e a Tecnologia (FCT)

June 18, 2026

Two NeuroAI / Comp Neuro faculty positions at UCL

by Daniel Bush

Hello all We are currently recruiting two computational neuroscientists to join the UCL Division of Biosciences (at Lecturer / Assistant Professor or Associate Professor level) One candidate will be based in the department of Neuroscience, Physiology & Pharmacology (NPP<https://www.ucl.ac.uk/life-sciences/npp>) and the other in Cell and Developmental Biology (CDB<https://www.ucl.ac.uk/life-sciences/cdb>) Please see further details here<https://tinyurl.com/4wnzvjc2>. The application deadline is 10th July 2026 Many thanks Dan ---------------------------------------------------- Dr. Daniel Bush GM01, Medical Sciences Building, Gower Street, London, WC1E 6BT Principal Investigator, UCL Human Electrophysiology Lab<https://bushlab-ucl.github.io/> Associate Professor, UCL Department of Neuroscience, Physiology and Pharmacology<https://www.ucl.ac.uk/npp/> Section Editor, PLoS Computational Biology<https://journals.plos.org/ploscompbiol/>

June 16, 2026

Graduate student and postdoctoral positions available in the Active Perception Laboratory at UR

by Poletti, Martina

Graduate student and postdoctoral positions are available in the Active Perception Laboratory (http://aplab.bcs.rochester.edu) at the University of Rochester to study the perceptual consequences of eye movements under the supervision of Dr. Martina Poletti and/or Dr. Michele Rucci. We are particularly interested in recruiting candidates interested in investigating the roles of eye movements in establishing spatial representations, the spatiotemporal dynamics of foveal and extrafoveal processing, the interplay between eye movements, retinal anatomy, and attention, and the possible roles of eye movements in emmetropization and myopia. Research in the laboratory focuses on the interaction between vision and behavior. Our work relies on the integration of theoretical and experimental approaches to investigate how visual functions unfold in the presence of normal and abnormal motor activity, how vision guides behavior, and how changes in visual input signals and modulations associated with behavior contribute to perception. The laboratory is equipped with a unique array of tools, many developed in-house, to investigate the synergy between visual, motor, and cognitive processes (https://aplab.bcs.rochester.edu/facilities.html#<https://aplab.bcs.rochester.edu/facilities.html>). Approaches include human psychophysics with precisely controlled retinal stimulation, computational modeling, precise measurements of head and eye movements, high-resolution retinal imaging, and electroencephalography (EEG) during active vision. A full list of our publications can be found at https://aplab.bcs.rochester.edu/publications.html. The ideal candidate would have a strong interest in vision science, a background in related areas, and experience with data analysis and computer programming. Prior experience in eye-tracking, psychophysics, computational modeling, signal processing, and/or electroencephalography is a plus. Motivation and independence are important, as well as the ability to work well in a team. The University of Rochester offers a highly collaborative and stimulating research environment with excellent opportunities for interactions and training in vision science and neuroscience. The laboratory is located within the Center for Visual Science (http://www.cvs.rochester.edu/) and the department of Brain & Cognitive Sciences (http://www.sas.rochester.edu/bcs/) Ongoing collaborations at the University of Rochester include the Flaum Eye Institute (https://www.urmc.rochester.edu/eye-institute.aspx) the Institute of Optics (http://www.hajim.rochester.edu/optics/) and the department of Neuroscience (https://www.urmc.rochester.edu/neuroscience.aspx) To apply, please send curriculum vitae, a statement of research interests and accomplishments, and the names of two references to Martina Poletti (martina_poletti(a)urmc.rochester.edu<mailto:martina_poletti@urmc.rochester.edu>) and Michele Rucci (mrucci(a)ur.rochester.edu<mailto:mrucci@ur.rochester.edu>). ------ Martina Poletti, PhD Associate Professor Department of Brain and Cognitive Sciences Department of Neuroscience Center for Visual Science University of Rochester Active Perception Laboratory web: https://www.sas.rochester.edu/bcs/people/faculty/poletti_martina/index.html aplab.bcs.rochester.edu<http://aplab.bcs.rochester.edu/>

June 15, 2026

New Fellowship Sponsorship Scheme at SWC/Gatsby Unit, UCL

by Alison Cranage

Dear all, The Sainsbury Wellcome Centre (SWC) and the Gatsby Computational Neuroscience Unit, based at UCL in London, have launched a Fellowship Sponsorship scheme. We are inviting expressions of interest from outstanding postdoctoral researchers seeking sponsorship to apply for external career fellowships, with the aim of establishing an independent research programme in the mechanistic theories of neural computation or learning. The successful candidate would be hosted at SWC and the Gatsby Unit, working at the interface of computational theory and experimental neuroscience, with access to mentorship and fellowship application support. Full details, including eligibility criteria and how to apply, are available on our website: https://www.sainsburywellcome.org/content/fellowship-sponsorship The closing date for expressions of interest is 16 July 2026. I would be very grateful if you could share this message with anyone who might be interested. Best wishes, Ali ALISON CRANAGE Research Communications and Engagement Manager Sainsbury Wellcome Centre 25 Howland Street  London  W1T 4JG   Email     a.cranage(a)ucl.ac.uk<mailto:a.cashin-garbutt@ucl.ac.uk>  Phone   +44 (0) 7917 922 068   Bluesky<https://bsky.app/profile/sainsburywellcome.bsky.social> | LinkedIn<https://www.linkedin.com/company/sainsbury-wellcome-centre> | Facebook<https://www.facebook.com/SainsburyWellcomeCentre/> | Instagram<https://www.instagram.com/sainsburywellcomecentre/> | sainsburywellcome.org<https://www.sainsburywellcome.org/>   [cid:image001.png@01DCFA80.F4BC95F0]

June 15, 2026

Fwd: [seminar.wwtns] World wide VVTNS series (6th season): June 17 2026 | From microcircuits to cortex-wide networks: connectivity and information-flow underlying goal-directed behavior| Arseny Finkelstein, Tel Aviv University

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Arseny Finkelstein Tel Aviv University on the topic of From microcircuits to cortex-wide networks: connectivity and information-flow underlying goal-directed behavior The lecture will be held on Zoom on June 17, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Regulation of information flow in neuronal circuits is fundamental to flexible, goal-directed behavior. In this talk, I will discuss how cortical circuits organize neural activity and connectivity across spatial scales, from local microcircuits to distributed cortex-wide networks. Using naturalistic multidirectional reaching in mice, combined with large-scale calcium imaging and causal connectivity mapping of >20,000,000 neuronal pairs, we identified connectivity motifs and population dynamics underlying goal-directed behavior. I will first describe the organizational principles of the motor cortex, where neurons are arranged into functional mini-columns with recurrent connectivity motifs linked to task-related activity, and discuss the potential computational advantages of this architecture. I will then show how these principles extend to larger spatial scales. Imaging ~1,000,000 neurons across 10 cortical regions revealed high-dimensional local population activity patterns alongside coordinated cortex-wide dynamics mediated by synchronized inter-areal communication. These distributed network dynamics supported high-dimensional representations of short-term memory for target location. Together, these findings reveal how cortical networks are organized across spatial scales to support cognition. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ

June 14, 2026

PhD Position at the the Institute of Neurosciences, Alicante

by Maximilian Eggl

Dear all, We are seeking a highly motivated PhD student to join the Translational Imaging Biomarkers Lab at the Institute of Neurosciences (CSIC–UMH, Alicante, Spain), working Dr. Maximilian Eggl and collaborating with Dr. Silvia De Santis. The position is fully funded for 3 years (with possible extension) and has an expected start date in Autumn 2026. Our research combines mathematics, machine learning, neuroimaging, and neuroscience to develop innovative computational tools for understanding brain health and disease. Current research directions include AI-inspired biomarkers of brain structure and function, simulation-based inference, quantitative MRI, computational neuroscience, and mechanistic modelling of biological systems. The successful candidate will join a highly interdisciplinary and international research environment at the interface of neuroscience, mathematics, artificial intelligence, and medical imaging. The exact project will be tailored to the interests and background of the successful candidate. Applicants should have (or be close to obtaining) a Master's degree in a quantitative discipline such as applied mathematics, physics, computer science, engineering, data science, computational neuroscience, or a related field. Strong programming skills (preferably in Python) and experience with mathematical modelling are required. Experience with machine learning, scientific computing, Bayesian inference, neuroimaging, or computational neuroscience is advantageous but not required. The Institute of Neurosciences (CSIC–UMH) is one of Europe's leading neuroscience research centres, bringing together researchers across molecular, cellular, systems, and computational neuroscience. Located in Alicante on Spain's Mediterranean coast, the institute offers an outstanding research environment together with an excellent quality of life, including year-round sunshine, beaches, and easy access to outdoor activities. Interested candidates are encouraged to contact meggl(a)umh.es with a CV and a 300 word description of interest. Further information can be found in the following flyer <https://in.umh-csic.es/wp-content/uploads/2026/06/Advertisement.pdf>. Please feel free to distribute this announcement to interested students and colleagues. Best regards, Max ******************************************** Maximilian Eggl, PhD La Caixa Junior Leader Fellow | CSIC - Spanish National Research Council Instituto de Neurociencias, CSIC/Universidad Miguel Hernandez, Alicante, Spain Web: mfeggl.github.io ********************************************

June 13, 2026

Computational Consciousness Science - 1 August 2026, New York

by Paul Linton

We are pleased to announce a one-day meeting (a CCN 2026 <https://2026.ccneuro.org/> satellite event) on 1st August 2026 in New York: COMPUTATIONAL CONSCIOUSNESS SCIENCE A recent explosion of interest in computational models of consciousness comes both from our attempts to extend computational models of perception and cognition to their subjective aspects and from the importance of consciousness to the ethical implications of AI models. This satellite meeting examines computational approaches from the points of view of philosophy, psychology, and neuroscience, with keynotes from David Chalmers (philosophy), Marisa Carrasco (psychology), and Biyu He (neuroscience). There will also be research talks from faculty, postdocs, and PhDs highlighting the contribution of computational models to our understanding of change-blindness, iconic memory, spatial perception, and visual illusions, as well as helping us to develop new measures of conscious awareness. A closing panel discussion will explore new and future directions for the emerging discipline of computational consciousness science. Date: Saturday, August 1, 2026 Location: NYU Department of Philosophy, 5 Washington Place, New York, NY 10003 Registration: Free but please register because we have to give a list of attendees to security. Link for details and registration: https://computationalconsciousness.github.io/

June 13, 2026

Call for registration and contribution to Systems Vision Science (SVS) Virtual Symposium: July 31, 2026

by Pavlovic, Maria

<https://summerschool.lizhaoping.org/symposium-2026/> Systems Vision Science (SVS) Virtual Symposium: July 31, 2026, 14:00-18:00 German Time as the end of the <https://summerschool.lizhaoping.org/application-virtual-svs/> Systems Vision Science Virtual Summer School, which is a virtual edition of the onsite <https://summerschool.lizhaoping.org/editions-in-previous-years/> summer schools and symposiums of SVS. We invite <https://docs.google.com/forms/d/e/1FAIpQLSfCIzbDUeswiWyB39JE9VX7Jj-DYJ5ajh8…> free registration and contribution for symposium participation and/or contribution. -------------------------------- The symposium will include two keynote speeches (30 min each): “Corticocortical Feedback as a Unifying Mechanism for Visual Perception and Learning” by <https://brain.bnu.edu.cn/English/Faculty/CurrentFaculty/Lzz/3531a3bc3145494…> Wu Li, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University "Using illusions and art to understand the visual brain" by <https://cavlab.net/page/> Patrick Cavanagh, Center for Vision Research, York University and invited and contributed speeches (15 minutes each). Invited speakers include Daniel Anthes, Marlene Behrmann, Marisa Carrasco, Winrich Freiwald, Richard Krauzlis, Lisa Kroell, and Zygmund Pizlo. The presentation topics will be any of <https://www.lizhaoping.org/Systems-Vision-Science.html> Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover and investigate functions and algorithms for vision in various brain regions and their implementations in neural circuits. -------------------------------- To contribute or register, please fill out our registration form <https://docs.google.com/forms/d/e/1FAIpQLSfCIzbDUeswiWyB39JE9VX7Jj-DYJ5ajh8…> ( which has an option to submit an abstract for contribution). Deadline for submitting contribution is July 12, 2026, and registration without contribution is open until capacity is reached. The zoom link for joining the symposium will be sent to the registrants. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> . -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Vladislav Aksiotis Kai Rothe Max-Planck-Institute for Biological Cybernetics University of Tübingen

June 12, 2026

AISB26 @Sussex - final chance for early bird registration

by Simon Bowes

AISB Convention 2026<https://aisb.org.uk/aisb-convention-2026/> Final extension to the early bird rate till 12th June! 1-2 July 2026 University of Sussex, Brighton, UK The 2026 convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) will be held as an in-person only event on 1st and 2nd July 2026, at the beautiful Sussex campus, surrounded by the South Down’s National Park, minutes by train from the vibrant beachside town of Brighton. The day before, on 30 June, we are holding a Day of celebration for the life and work of Prof Margaret Boden. This will include talks on themes related to her work, personal reflections by those who worked with her, and a panel discussion on her legacy. See: https://www.sussex.ac.uk/cogs/seminars/celebrating-margaret-boden Programme & Tracks – see links for detailed schedule of talks in each symposium 1st July Keynote: Anil Seth (Professor of Cognitive and Computational Neuroscience<https://profiles.sussex.ac.uk/p22981-anil-seth>, University of Sussex): The case against conscious AI * Explainability and Transparency in AI (XTAI-2026) (https://xtai-symposium.github.io/<https://xtai-symposium.github.io/>) * AI, Consciousness and Ethics (https://aice-symposium.github.io/ ) * Hype, Promise, and Speculation: AI Bubbles and the Replication Crisis in Computer Science (https://aisb.org.uk/aisb-2026-symposium-hype-promise-and-speculation/<https://aisb.org.uk/aisb-2026-symposium-hype-promise-and-speculation/>) * Ethics of Generative-AI Assisted Authoring (https://sussexhumanitieslab.wordpress.com/2026/01/16/aisb-2026-symposium-1-…) * Varieties of free will and agency (https://freewillandagency.wordpress.com/<https://freewillandagency.wordpress.com/>) * Symposium on AI and Cognitive Sciences in Education (AICSED2026) (https://aicsed.github.io/2026/) 2nd July Keynote: Philip Ball: Science Writer<https://en.wikipedia.org/wiki/Philip_Ball> The Space of Possible Minds * AI, Consciousness and Ethics 2 (https://aice-symposium.github.io/) * Foundations of computation (https://sites.google.com/view/foundations-of-computation) * Is consciousness a story we tell ourselves? Internal language and consciousness after chain of thought reasoning (https://astorywetell.github.io/) * Is there still life in the Turing test? (https://turingtestlives.wordpress.com/<https://turingtestlives.wordpress.com/>) * Values and Preferences in Reasoning (https://www.vprsymposium.com/<https://www.vprsymposium.com/>) There will also be a general track for individuals who would like to present their standalone research. Conference Dinner: The Seahorse (https://seahorsebrighton.co.uk/) * Three course set menu, with 3 drinks included (£56.75), on the beach. Conference registration includes: * Breakfast (coffee & pastries) * Buffet lunch * Afternoon coffee General Information The University of Sussex campus is a modernist masterpiece surrounded by the South Downs National Park, just a few minutes by train from the vibrant and open-minded city of Brighton, with its historical beach, famous club/pub scene, and many quirky shops. Easily reachable from Gatwick (30 mins) and London (1 hour). Founded in the ‘60s with a charter emphasising interdisciplinarity, in the 80’s Professor Margaret Boden established the School of Cognitive and Computing Sciences (COGS), a groundbreaking centre for research and teaching in AI. COGS continues to deliver interdisciplinary education and host cutting-edge research. Registration Registration is available on the convention webpage: https://aisb.org.uk/aisb-convention-2026/. Registration fees Full One day Earlybird Regular Earlybird Regular Attendees – members £250 £280 £190 £220 Attendees – non-members £310 £340 £250 £280 Student members £150 £170 £110 £130 Student non-members £180 £200 £140 £160 Corporate rate £600 £660 £450 £510 (Early bird rate until 12th June) Program Committee General Chair: Bertie Müller (Swansea University) Convention Organiser: Simon Bowes (University of Sussex) Venue University of Sussex Falmer Brighton, BN1 9RH United Kingdom Travel Local Bus Services Brighton & Hove Buses (https://www.buses.co.uk/) has an extensive network of buses around town, to the campus, and onwards to Lewes and other nearby towns. Arriving By Train The Gatwick Express (https://www.gatwickexpress.com/) runs from Brighton to London. Arriving By Car Details of getting to Sussex campus by car, parking, and other transport information can be found here: https://www.sussex.ac.uk/about/directions Accommodation VisitBrighton is the official accommodation booking provider for AISB26. They are delighted to offer specially negotiated accommodation rates for attendees at local hotel accommodation. This website<https://book.passkey.com/go/aisb2026> will be open for bookings until 24 June 2026 but we advise early booking in order to guarantee your preferred hotel. Through this website you can book, modify or cancel your hotel reservations at any time. On the website you can also find links to information on travel, food and entertainment in the city. We look forward to seeing you. Delegates can also benefit from discounts to attractions, restaurants and shops: https://www.visitbrighton.com/special-offers/delegate-deals-o2311<https://www.visitbrighton.com/special-offers/delegate-deals-o2311>

June 11, 2026

PhD position in brain-like machine intelligence and artificial cognition at KTH Royal Institute of Technology, Stockholm

by Pawel Andrzej Herman

Dear Colleagues I am writing to draw your attention to a PhD position in brain-like machine intelligence and artificial cognition (https://www.kth.se/lediga-jobb/938381?l=en) in Computational Cognitive Brain Science lab in the Department of Computational Science and Technology at KTH Royal Institute of Technology, Stockholm. The goal of the project is to develop and simulate large-scale neural network models of the brain’s cognitive function with focus on cortical memory system, and use them to make advances towards brain-like intelligent systems. Special focus is on coupling multiple neural networks to study neural interactions between different cortical regions supporting cognitive function. You are expected to build such large-scale brain plausible network-of-networks models in the continuum between spiking and non-spiking computations, and hence propose novel architectural blueprint for AI agents. Please find more details in the ad: https://www.kth.se/lediga-jobb/938381?l=en. Application deadline: July 10, 2026. Please contact me if you have any questions! Best Pawel Herman ------------------------------------ [cid:image001.jpg@01DCF901.8C47C6F0] Paweł Herman Associate Professor, PhD, Docent KTH Royal Institute of Technology School of Electrical Engineering and Computer Science (EECS) Division of Computational Science and Technology (CST) Lindstedtsvägen 5 114 28 Stockholm, Sweden room 4442 (4th floor, D-building)

June 10, 2026

Open Brain Institute Webinar # 3: From Neuronal Morphologies to Insights using the OBI Virtual Labs

by Darshan Mandge

Dear colleagues, (Apologies for cross-posting.) We are pleased to invite you to the third Open Brain Institute<https://www.openbraininstitute.org> webinar: Topic: From Neuronal Morphologies to Insights using the OBI Virtual Labs Speaker: Natali Barros Zulaica, PhD<https://ch.linkedin.com/in/natali-barros-zulaica-9b1022149/en> Date: Tuesday, June 23, 2026 Time: 1330–1430 hrs (CET) Registration Link: https://events.teams.microsoft.com/event/e504b3ac-c43c-4796-a0d1-6b78779d74… Abstract: Neuronal morphology sits at the heart of understanding how neurons connect, communicate, and compute — yet working with reconstructed morphology data remains surprisingly cumbersome. From exploration and visualization to quality control, standardization, and advanced analysis, researchers routinely face fragmented workflows and scattered tooling. In this webinar, we introduce the morphology-related functionalities of the Open Brain Institute platform and show how they bring these workflows together in one integrated environment. Through hands-on use cases, we will demonstrate how the platform supports efficient dataset exploration, interactive visualization and inspection of reconstructions, collaborative data sharing, automated detection and correction of reconstruction artifacts, and morphometric and topological analyses — including how topological approaches can reveal meaningful morphological differences across species. Whether you are reconstructing neurons, building biologically accurate cell models, or simply trying to make sense of a large morphology dataset, this webinar will show you a more accessible and scalable way to do it. Open to researchers across all areas of neuroscience. We hope you will join us. Best Wishes, Darshan Mandge, PhD Scientist Open Brain Institute Lausanne, Switzerland https://www.linkedin.com/in/darshanmandge/ https://www.openbraininstitute.org/ Linkedin<https://www.linkedin.com/company/openbraininstitute/> - Bluesky<https://bsky.app/profile/openbraininst.bsky.social> - YouTube<https://www.youtube.com/watch?v=Db_Te1HDsro> - X<https://x.com/OpenBrainInst>

June 10, 2026

Call for participation & posters - workshop “Cortex Structure and Function in Monkey, Mouse and Man” (Sep 21-24, 2026)

by von Behren, Christina

Dear all, as we still have a few seats available, we decided to postpone the deadline for pre-registration to June 15. Make use of it… (all details below) Best, Britta ---- Dear all, hereby, we would like to draw your attention to the upcoming workshop “Cortex Structure and Function in Monkey, Mouse and Man”. This workshop aims to bring together researchers from the fields of systems neuroscience, comparative transcriptomics, connectomics, and primate palaeobiology in one place to foster mutual awareness and interdisciplinary discussions as well as identify yet unknown principles in the development, organization and function of the primate brain from computational and experimental points of view. * when: Sep 21-24, 2026 * where: Hanse Wissenschaftskolleg (HWK) Delmenhorst, Germany * pre-registration by Jun 15, 2026 via https://www.uni-bremen.de/hwk-workshop-2026 <https://www.uni-bremen.de/hwk-workshop-2026> workshop outline: Evolution in mammal brains has formed basic building blocks that might superficially look similar, but are organized in different structures and are obviously specialized for distinct computations. Accumulating evidence indicates that, while rodents are close evolutionary relatives to our own primate lineage, fundamental changes on all levels of brain organization occurred at the primate-rodent-split. In addition, subsequent primate evolution appears to be marked by apparently qualitative grade shifts. Recent progress across distinct disciplines provides a springboard to take a fresh perspective on what makes primate brains special. This workshop aims to enhance this comparative cognition perspective by contributions on avians and machines, which, despite having very different “brain” structures, perform functions that are surprisingly similar to those of mammals. Confirmed speakers: Tatjana Engel, Katja Nowick, Marieke Schölvinck, Matthias Kaschube, Henner Koch, Ken Miller, Huib Mansfelder, Wiktor Mlynarski, Fabian Sinz, Andreas Neef, Dan Eric Nilsson, Madineh Sedigh-Sarvestani, Ziad Hafed, Fred Wolf, Daniel Huber, Alessandro Treves, David Dahmen, Neda Shahidi, Jonas Rose, Andreas Kreiter and Udo Ernst. For further information and pre-registration visit https://www.uni-bremen.de/hwk-workshop-2026 <https://www.uni-bremen.de/hwk-workshop-2026> . The workshop is co-funded by the Priority Program SPP 2205 Evolutionary Optimization of Neuronal Processing <https://www.uni-goettingen.de/de/618311.html> and NeuroNex Working Memory <https://www.nxwm.io/> . We are very much looking forward to meeting you in September! **************** Dr. Britta Korkowsky Coordinator Goettingen Campus Institute for Dynamics of Biological Networks (CIDBN) Bernstein Center for Computational Neuroscience Graduate Program in Theoretical and Computational Neuroscience SPP 2205 Evolutionary Optimization of Neuronal Processing University of Goettingen Heinrich-Düker-Weg 12 37073 Göttingen Tel.: +49-551-39-26675

June 9, 2026

Open PhD position - Brain-inspired Machine Learning and Spiking Neural Networks

by Robert Legenstein

The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/iml/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) in the areas Brain-inspired Machine Learning/Spiking Neural Networks. In paticular, we will investigate brain-inspired models that bridge between sub-symbolic and symbolic artificial intelligence approaches in the context of the Cluster of Excellence Bilateral AI: https://www.bilateral-ai.net A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. For details and application portal, see https://jobs.tugraz.at/en/jobs/e60aac86-0142-4968-a7f1-87662a99f784 -- Dr. Robert Legenstein Univ.-Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.iml.tugraz.at/legi/ WebEx: https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ----------------------------------

June 8, 2026

📣 Call for Papers: 12th International Artificial Intelligence Symposium (AIS 2026) 🗓 21–24 September 2026 — Riva del Sole Resort & SPA, Tuscany, Italy ⏰ Submission Deadline: June 23, 2026 (AoE)

by ICAS Organizing Committee

*Apologies if you receive multiple copies of this announcement.* *Please kindly forward it to potentially interested authors and attendees. Thank you!* The 12th International Artificial Intelligence Symposium (AIS 2026) will take place from September 21–24, 2026, at the Riva del Sole Resort & SPA in Castiglione della Pescaia (Grosseto), Tuscany, Italy. 🔗 https://ais2026.icas.events 📧 ais(a)icas.cc SATELLITE EVENT 🎓 4th International Meeting on Foundation Models (IMFM 2026) 🔗 https://ais2026.icas.events/imfm2026/ 📌 PAPER SUBMISSION All papers must be submitted through EasyChair: 🔗 https://easychair.org/conferences/?conf=ais20260 ⏰ Paper Submission Deadline: June 23, 2026 (AoE) CALL FOR PAPERS 🔗 https://ais2026.icas.events/call-for-papers/ Please prepare your paper using the Springer Nature Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF format. 📚 TYPES OF SUBMISSIONS When submitting a paper to AIS 2026, authors must select one of the following categories: • Long Paper / Late-Breaking Paper Original, novel, and unpublished work (12–15 pages in Springer LNCS format). Accepted papers will be published in the Springer Nature LNCS conference proceedings. • Short Paper Extended abstracts presenting novel work (6–11 pages in Springer LNCS format). Accepted papers will be published in the Springer Nature LNCS conference proceedings. • Oral Presentation Only No page restrictions; any format accepted. This category is intended, for example, for work already published elsewhere that is relevant to the conference and may stimulate fruitful discussion. Contributions accepted in this category will not be published in the Springer Nature LNCS proceedings. • Poster Presentation Only No page restrictions; any format accepted. This category is intended, for example, for work already published elsewhere that is relevant to the conference and may stimulate fruitful discussion. Contributions accepted in this category will not be published in the Springer Nature LNCS proceedings. KEYNOTE SPEAKERS As in previous editions, AIS 2026 will be co-located with the International Artificial Intelligence Summer School (IAISS 2026), creating a unique and stimulating environment for interdisciplinary exchange. This co-location is designed to strengthen interactions among researchers, practitioners, and students, fostering cross-fertilization of ideas and encouraging new collaborations within the artificial intelligence community. All conference participants will have full access to IAISS 2026 activities, including keynote lectures delivered by leading international experts, thereby enriching the overall scientific experience and providing additional opportunities for learning, discussion, and networking. IAISS 2026 Lecturers • Stefano V. Albrecht — Nanyang Technological University, Singapore • Mikhail Belkin — University of California San Diego, USA • Giuseppe De Giacomo — University of Oxford, UK • Christoph Feichtenhofer — Meta Superintelligence Labs, Menlo Park, CA, USA • Jamie Hayes — Google DeepMind, UK • Sumi Helal — University of Bologna, Italy • Albert Q. Jiang — Mistral AI, Paris, France & University of Cambridge, UK • Marine Le Morvan — INRIA Saclay, France • Bruno Lepri — FBK, Italy • George Paliouras — National Center for Scientific Research “Demokritos”, Athens, Greece • Panos Pardalos — University of Florida, USA More lecturers to be announced. PAST KEYNOTE SPEAKERS 🔗 https://ais2026.icas.events/past-keynote-speakers/ AIS Leonardo Fibonacci BEST PAPER AWARD 🔗 https://ais2026.icas.events/best-paper-award/ PROGRAM COMMITTEE 🔗 https://ais2026.icas.events/program-committee/ VENUE 🔗 https://ais2026.icas.events/venue/ AIS 2026 will take place at the Riva del Sole Resort & SPA, Tuscany, Italy. AIS 2026 is a residential conference. All participants (invited speakers, authors, organizers, chairs, and attendees) are required to stay at the Riva del Sole Resort & SPA. No exceptions will be permitted. Riva del Sole Resort & SPA 📍 Località Riva del Sole, 58043 Castiglione della Pescaia (Grosseto), Tuscany, Italy 📞 +39-0564-928111 📠 +39-0564-935607 📧 booking.events(a)rivadelsole.it 🌐 www.rivadelsole.it/en ACTIVITIES 🔗 https://ais2026.icas.events/activities/ Submit your research work today: 🔗 https://easychair.org/conferences/?conf=ais20260 We look forward to welcoming you to beautiful Tuscany in September! Best regards, AIS 2026 Organizing Committee 🔗 https://ais2026.icas.events 📧 ais(a)icas.cc Past Editions 🔗 https://ais2026.icas.events/past-editions/ Facebook: https://www.facebook.com/groups/2236577489686309/ X / Twitter: https://twitter.com/TaoSciences LinkedIn: https://www.linkedin.com/groups/19150026/ AIS 2026 Poster 🔗 https://ais2026.icas.events/wp-content/uploads/sites/37/2025/12/AIS-2026-po… Please note that this announcement is only a Call for Papers. For complete and continuously updated information, please refer to the official conference website: https://ais2026.icas.events *Apologies again for multiple copies. Please forward this announcement to anyone who may be interested. Thank you!*

June 8, 2026

World wide VVTNS series (6th season): June 10 2026 | Learning to Compose: Geometric Reorganization of Prefrontal Dynamics Enables Flexible Multi-Task Control | Alexandre Leon Mahrach IDIBAPS, Barcelona

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Alexandre Leon Mahrach IDIBAPS, Barcelona on the topic of Learning to Compose: Geometric Reorganization of Prefrontal Dynamics Enables Flexible Multi-Task Control The lecture will be held on Zoom on June 10, 2026 at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page > > > *Abstract: *Complex behavior requires neural circuits to compose elementary operations—maintaining memories, evaluating sensory cues, suppressing premature actions—into context-appropriate programs. How prefrontal dynamics reorganize to support such composition when task demands compete within a shared neural population remains unclear. Here, we developed a dual-task paradigm in mice that combined a delayed paired-association (DPA) task with an olfactory Go/No-Go (GNG) discrimination embedded in the delay period. Mice learned the dual task rapidly, with early errors dominated by false alarms on unpaired DPA trials. Interference was asymmetric: Go cues disrupted performance more than No-Go cues, pinpointing premature action rather than memory failure as the central learning bottleneck. Population calcium imaging from medial prefrontal cortex (mPFC) showed that sample identity, choice tendency, and test identity occupied near-orthogonal subspaces of a shared low-dimensional manifold. As training progressed, sample representations remained stable while delay-period activity shifted away from the action-associated region. To probe the underlying circuit mechanisms, we trained low-rank recurrent neural networks on the same paradigm. Networks developed a circular manifold on which memories were stored as attractors at distinct angular positions, and test stimuli acted as compositional rotation operators, routing stored memories to appropriate actions. Dual-task training relocated mnemonic attractors to a position that a reduced geometric model identified as Pareto-optimal—revealing a fundamental tradeoff in which optimizing one task necessarily impairs the other. Consistently, optogenetic inhibition of ACC→mPFC projections during the delay displaced attractor geometry and selectively biased DPA versus GNG accuracy, matching the reduced model's prediction. Together, our results reveal how prefrontal circuits dynamically reshape attractor geometry through learning-dependent attractor fine-tuning, providing a mechanistic framework for how cortex resolves competing cognitive demands. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ

June 8, 2026

1st Call for Participation: International Artificial Intelligence Summer School – IAISS 2026, Sept 20-24, Riva del Sole Resort & SPA @ Tuscany * Registration: by June 23 *

by ICAS Organizing Committee

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * IAISS2026, A Residential Summer School in Frontier AI IAISS 2026 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. 📍 Riva del Sole Resort & SPA @ Tuscany, Italy, 🗓 Sept 20-24, 2026 🔗 https://2026.iaiss.cc iaiss(a)icas.cc 🎤 LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. Stefano V. Albrecht, Nanyang Technological University, Singapore Giuseppe De Giacomo, University of Oxford, UK Christoph Feichtenhofer, Meta Superintelligence Labs, USA Sven Giesselbach, T-Systems International, Germany Jamie Hayes, Google DeepMind, UK Sumi Helal, University of Bologna, Italy Albert Q. Jiang, Mistral AI, Paris, France & University of Cambridge, UK Marine Le Morvan, INRIA Saclay, France Bruno Lepri, FBK, Italy Sebastian Lins Risi, Sakana AI, Japan & IT University of Copenhagen, Denmark George Paliouras, National Center for Scientific Research "Demokritos", Athens, Greece Panos Pardalos, University of Florida, USA More Lecturers TBA 🔗 https://2026.iaiss.cc/lecturers/ 🔗 https://2026.iaiss.cc/lectures/ 🚨 REGISTRATION: by June 23 (AoE) https://2026.iaiss.cc/registration/ Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk. Abstract can be submitted by June 23 during the registration process. PAST EDITIONS: https://2026.iaiss.cc/previous-editions/ IAISS Norbert Wiener Best Presentation Award in Artificial Intelligence: https://2026.iaiss.cc/best-presentation-award/ VENUE: https://2026.iaiss.cc/venue/ Riva del Sole Resort & SPA Località Riva del Sole‚ Castiglione della Pescaia (Grosseto) CAP 58043‚ Tuscany‚ Italy p: +39-0564-928111 e: booking.events(a)rivadelsole.it w: https://www.rivadelsole.it/en/ ✅ CERTIFICATE & 8 ECTS: The International Artificial Intelligence Summer School – IAISS 2026 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the IAISS attendants. The Summer School will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Summer School. Language: English. To participate in the IAISS 2026, all attendants must (1/2) register for the school (by June 23, 2026) and (2/2) book accommodation at the school venue, “Riva del Sole Resort & SPA” (by July 23, 2026); all attendants must stay at the “Riva del Sole Resort & SPA”. Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the IAISS organizing committee (iaiss(a)icas.cc) IAISS is a residential school, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events(a)rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use. IAISS is organized as a non-profit scientific event. Please note that only IAISS registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the IAISS Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking. Anyone interested in participating in IAISS 2026 should register as soon as possible: 👉 https://2026.iaiss.cc/registration/ See you in Riva del Sole in September! IAISS 2026 Organizing Committees. https://2026.iaiss.cc iaiss(a)icas.cc https://www.linkedin.com/groups/19146028/ Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2026.iaiss.cc the News Section: https://2026.iaiss.cc/category/news/ and the FAQ: https://2026.iaiss.cc/faq/ * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *

June 7, 2026

GeMAIHc 2027: early registration June 22

by David Silva - IRDTA

******************************************************** 1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE GeMAIHc 2027 Milan, Italy February 1-5, 2027 https://gemaihc.irdta.eu/2027/ ******************************************************** Co-organized by: Human Technopole IRDTA – Institute for Research Development, Training and Advice ****************************************************** Early registration: June 22, 2026 ****************************************************** SCOPE AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare. GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives. This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 1 symposium, 4 local presentations, and hands-on activities with a hackathon. Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible. ADDRESSED TO The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health. There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome. An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences. GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare. VENUE GeMAIHc 2027 will take place in Milan, one of Europe’s leading international centers for science, industry, fashion, and finance. The venue will be: Human Technopole Viale Rita Levi-Montalcini, 1 20157 Milan, Italy https://humantechnopole.it/en/ STRUCTURE Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time. A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations. The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare. All lectures will be video recorded and made available to participants for 45 days after the event. Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind. KEYNOTE SPEAKERS Deborah Estrin (Cornell University), Transforming Longitudinal Care with Digital Biomarkers and Therapeutics Lyle Palmer (Adelaide University), tba PROFESSORS AND COURSES (list to be completed) Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data Charles Friedman (University of Michigan), [introductory] Synergizing AI and Learning Health Systems to Transform Health Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets Maryellen Giger (University of Chicago), [introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI Casey Greene (University of Colorado), [introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced] Advanced Computing for Biomedical Research and Discovery Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence Faisal Mahmood (Harvard University), tba Tom Pollard (Massachusetts Institute of Technology), tba Hoifung Poon (Microsoft Research), [advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery Jian Tang (Mila-Québec AI Institute), [introductory/advanced] Generative AI for Protein Design Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery Jelmer M. Wolterink (University of Twente), tba SYMPOSIUM A symposium will feature voluntary 10-minute oral presentations on ongoing research projects and industrial developments. Participants interested in presenting should submit a one-page abstract including title, authors, and summary to david(a)irdta.eu by January 8, 2027. HANDS-ON ACTIVITIES Hands-on team activities will be organized around challenges in generative and multimodal AI for healthcare. The challenges will be released two weeks before the beginning of the school. A jury will evaluate the submissions, and the winners will be announced at the end of February 2027. Winning teams will receive a modest monetary prize, while runners-up will receive certificates of recognition. ORGANIZING COMMITTEE Jan Funke (Milan) Ilaria Guerini (Milan) Francesca Ieva (Milan) Carlos Martín-Vide (Tarragona, program chair) Michela Carlotta Massi (Milan, local chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) David Silva (London, organization chair) REGISTRATION Registration is available at: https://gemaihc.irdta.eu/2027/registration/ The selection of six courses requested during registration is tentative and non-binding. This information will help estimate demand for logistical planning purposes. As venue capacity is limited, registrations will be processed on a first-come, first-served basis. Registration will close once capacity has been reached. Early registration is strongly recommended. FEES Registration fees include access to all school activities and lunches. Several early registration deadlines are available, and fees vary depending on the registration period. Fees are identical for on-site and online participation. ACCOMMODATION Accommodation suggestions will be provided in due time at: https://gemaihc.irdta.eu/2027/accommodation/ CERTIFICATE Participants will receive a certificate indicating 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS recognition from their home institutions. SPONSORS Companies, institutions, and organizations interested in sponsoring the event may download the sponsorship leaflet from: https://gemaihc.irdta.eu/2027/sponsors/ QUESTIONS AND FURTHER INFORMATION david(a)irdta.eu ACKNOWLEDGMENTS Human Technopole Universitat Rovira i Virgili IRDTA – Institute for Research Development, Training and Advice

June 6, 2026

Call for participation - Summer School on Computational Decision Sciences, London, Sept 7-11

by Subramoney, Anand

Dear all, It’s our pleasure to announce the Graduate Summer School on Computational Decision Sciences (GSS-CDS<https://center-decision-sciences.com/cds-graduate-school-2026/>)––the second edition of the summer school at the Centre for Decision Sciences, Royal Holloway, University of London. What GSS-CDS will bring together an interdisciplinary audience tackling decision making in different scientific fields (see Program<https://center-decision-sciences.com/program-2026/>). 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 talks from leading researchers and practical hands-on sessions. Attendees will also have the opportunity to receive career advice during social networking events and reflect critically about research practices in EDI sessions. Where and When GSS-CDS will take place at Stewart House, within Senate House<https://center-decision-sciences.com/directions/>, in Central London, on September 7th-11th (see Schedule<https://center-decision-sciences.com/schedule-2026/>). Target audience GSS-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 modeling is required. Registration Course fee is £480 (includes the registration fee, lunch, tea/coffee breaks, reception events and VAT). To register, please visit this page<https://center-decision-sciences.com/registration-2/>. Places are limited and registrations will close on Monday, June 15th, 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, 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.

June 5, 2026

Fully Funded PhD Fellowship in Computational Neuroscience in Rome

by Pazienti Antonio

A PhD position is available at the Italian National Institute of Health (Rome) in the group of Maurizio Mattia ____________________________________________________________________________________ PhD (Rome) – Computational Neuroscience / Dynamical Systems / Epilepsy Fully funded PhD at Sapienza University Project: Multiscale Digital Twin for Pediatric Focal Epilepsy Based on Recurrent Neural Networks. Focus on: * Data-driven modeling of brain dynamics * Analysis of clinical time-series * Inference of dynamical systems from experimental data Looking for candidates with strong background in: physics / applied math / theoretical neuroscience, and interest in real data analysis. ML (incl. RNNs) used as a tool—not the main focus. Deadline: 17 June 2026 Oral interview for selected applicants (in-presence): 7 July 2026 https://phd.uniroma1.it/web/concorso42.aspx?s=&i=3528&m=&l=EN&p=&a= Contact: Antonio Pazienti antonio.pazienti(a)iss.it<mailto:antonio.pazienti@iss.it> , Maurizio Mattia maurizio.mattia(a)iss.it<mailto:maurizio.mattia@iss.it> ______________________________________________________________________________________________ Long version follows: ________________________________________________________________________________________ PhD position (f/m/d) in Computational Neuroscience (Strong Mathematics / Theoretical Physics Background Preferred) Project: Multiscale Digital Twin for Pediatric Focal Epilepsy Based on Recurrent Neural Networks Sapienza University of Rome (Italy) and Italian National Institute of Health (ISS) Application deadline: 17 June 2026, 14:00 (CET) Oral interview for selected applicants (in-presence): 7 July 2026, 14:00 (CET) @Sapienza University, Rome Project Overview We invite applications for a fully funded PhD position within the Sapienza PhD programmes (42nd cycle, A.Y. 2026/2027) focused on developing quantitative models of pediatric focal epilepsy grounded in experimental data. The project aims to build a multiscale digital twin of the epileptic brain, integrating: * Experimental recordings (e.g., EEG, SEEG) * Neuroimaging-derived structure and connectivity * Mathematical and dynamical models of neural activity Digital brain twins are personalized computational models that integrate structural and functional data to capture brain dynamics and support clinical decision-making, particularly relevant for epilepsy. The PhD will focus on: * Analysis of large-scale experimental datasets (EEG, clinical recordings) * Inference of dynamical models from data * Development of data-constrained multiscale models of seizure dynamics * Use of machine learning tools (including RNNs) as part of a broader modeling and inference framework, rather than as an end in itself PhD Programme The position is part of a Sapienza PhD programme in neuroscience / computational neuroscience-related disciplines at one of Europe’s largest universities. Key features: * Duration: 3 years * Interdisciplinary training combining: * Neuroscience and clinical research * Mathematics, physics, and dynamical systems * Data analysis and statistical inference * Structured doctoral training with research activities and seminars Sapienza PhD programmes aim to develop independent researchers with strong analytical and methodological skills in complex systems and biomedical data. Funding This is an externally funded PhD position within the official Sapienza call, including: * Full PhD scholarship (baseline ≈ €16k gross/year) * Additional funding for research and mobility Candidate Profile We are explicitly seeking candidates with a strong quantitative and analytical background, and a clear interest in working with real experimental data. Required * MSc (or equivalent) in: * Physics * Applied Mathematics * Theoretical Physics * Engineering or related quantitative disciplines * Strong skills in: * Mathematical modeling (dynamical systems, stochastic processes) * Data analysis and statistical inference * Programming (Python or equivalent) Strongly preferred * Demonstrated interest in: * Analysis of experimental or observational data * Time-series data and signal processing * Experience with: * Neural or physiological data (e.g., EEG/MEG) * Inverse problems or parameter estimation * Scientific computing Additional (not mandatory) * Familiarity with machine learning methods (e.g., RNNs) (primarily as tools for modeling or inference, not as a core requirement) What You Will Gain * Training at the interface of mathematics, data analysis, and neuroscience * Experience working with real clinical and experimental datasets * Skills in model-based inference and multiscale modeling * Opportunity to contribute to clinically relevant research in epilepsy Location Rome, Italy — Sapienza University, a leading European research institution with a large international PhD community, and Italian National Institute of Health Application Process Applications must be submitted via the official Sapienza portal: https://phd.uniroma1.it/web/concorso42.aspx?s=&i=3528&m=&l=EN&p=&a= Typical required documents: * CV * Academic transcripts * Motivation letter (strong emphasis on quantitative/data analysis experience) * References Oral interview for selected applicants (in-presence): 7 July 2026, 14:00 (CET) @Sapienza University, Rome Informal Inquiries For questions, please contact: Antonio Pazienti antonio.pazienti(a)iss.it<mailto:antonio.pazienti@iss.it> Maurizio Mattia maurizio.mattia(a)iss.it<mailto:maurizio.mattia@iss.it> behavneurosci-phd(a)uniroma1.it<mailto:behavneurosci-phd@uniroma1.it> ________________________________________________________________________________________ Thank you, ---- Antonio Pazienti, PhD National Center for Radiation Protection and Computational Physics Italian National Institute of Health Viale Regina Elena 299, 00161 Roma (Italy) Phone: +39 06 4990 2857 E-mail: antonio.pazienti(a)iss.it<mailto:antonio.pazienti@iss.it> [https://www.iss.it/o/iss/images/ISS.png] Scegli l'Istituto Superiore di Sanità. Dona il 5x1000 alla Ricerca Sanitaria Firma e inserisci il Codice Fiscale 80211730587 ________________________________ Per saperne di più clicca qui<[https://www.iss.it/-/l-iss-sostiene-i-giovani-ricercatori-con-il-5x1000-1]>

June 4, 2026

NEST Conference 2026 on 16/17 June — Program overview — Register now!

by Hans Ekkehard Plesser

Dear Colleagues! We are very much looking forward to the NEST Conference 2026 which will take place in two weeks time on Tuesday / Wednesday 16/17 June 2026. We are excited to share with you an overview over the program we have assembled with three keynotes, three tutorials, one dozen talks and eleven posters. You will find presenters and contributions below. Please register at https://nest-simulator.org/conference at your earliest convenience! If you want to use the member rate (20€; normal rate 50€), you must apply for NEST Initiative e.V. membership and pay your dues by Sunday 7 June. Students, including PhD students, do not need to pay membership dues, for all others it is 25€ for 2026. Please go to https://www.easyverein.com/public/NESTINI/applicationform/13809 to apply. Absolutely last deadline for registration is Sunday 14 June at 23.59 CEST (UTC+2). See you at the NEST Conference 2026! Hans Ekkehard Plesser on behalf of the organizing committee Keynote Agnes Korcsak-Gorzo Biologically plausible supervised learning in large-scale networks Fynn Dobler, Maxime Carrire Lost in translation: How porting a brain-constrained model of word semantics to NEST revealed undocumented model assumptions Pablo Martinez-Canada From Circuits to Signals and Back: Integrating Biophysical Forward Modelling and Simulation-Based Inference to Decode Brain Dynamics Tutorial Agnes Korcsak-Gorzo Biologically plausible supervised learning with event-driven eligibility propagation Charl Linssen, Pooja Babu Modeling and simulating neuron models from NESTML on neuromorphic hardware Willem Wybo Creating, analyzing, simplifying, and simulating biophysical neurons with NEAT Talks Carlos Enrique Gutierrez Neuro-Workflow: Agent-Assisted Brain Modeling Catherine Schofmann Scaling Neural Networks On Accelerators With Procedural Connectivity Generation Gianmarco Tiddia Scalable network construction method for NEST GPU enables efficient multi-GPU simulations Jan Eirik Skaar, Hans Ekkehard Plesser Practice report: Porting a complex network model from BRIAN2 to NEST Jan Vogelsang, Susanne Kunkel Rethinking Synapse Placement in NEST for Cache-Efficiency on Many-Core Exascale Architectures Mahesh Madhav, Hans Ekkehard Plesser Issue #3217: Making NEST a part of the SPEC CPU 2026 benchmark suite Melissa Lober NUMA balancing hampering performance of spiking network simulations Pedro Ribeiro Pinheiro Simulating prefrontal cortex dynamics in a data-driven spiking neural network Rafael Fernando Gigante A Large-Scale Spiking Network Model of the Primary Motor Cortex Razvan Gamanut Subthreshold Dynamics in a Gap-Junction-Coupled PV Network Model of the Claustrum Sinovia Fotiadou Bridging NEST Microcircuits to Zerlaut Mean-Field Models: A Reproducible Single-Region Workflow for the Virtual Brain Twin Tibor Rozsa Toward reliable visual prosthetic stimulation under highly variable spontaneous activity Poster Alex Dimitrov et al Statistics of spiking neural networks based on counting processes Ariel Shmilli et al Long-term memory consolidation in spiking neural networks Camilo Jara Do Nascimento et al Dendritic plateau potentials enable learning over long timescales Charl Linssen et al Automated code generation of advanced plasticity rules for the SpiNNaker neuromorphic platform using NESTML Daniel Todt Parameter specification in spiking neural networks using NEST and simulation-based inference José Villamar et al Scaling up to billions of spiking neurons and trillions of synapses with NEST GPU Krishna Kant Singh Empowering Neuroscience Research with Portable HPC Containers Marie Olli Structural plasticity in large-scale spiking neural networks Markus Diesmann On polynomials in spiking neuronal network simulations Noah Ostendorf Motiforge: Flexible Motif-Constrained Network Generation for Structured Neural Architectures Pooja Babu Modeling and simulating two-compartment neuron model with NESTML on NEST GPU -- Prof. Dr. Hans Ekkehard Plesser Research Committee Chair, Faculty of Science and Technology Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

June 2, 2026

PhD positions in mathematical neuroscience at Université Côte d'Azur

by yuxiu.shao＠univ-cotedazur.fr

Dear all, I am establishing a new research group at Université Côte d'Azur and am recruiting PhD students to work at the interface of mathematics, physics, and neuroscience. Our research develops a unified mathematical framework to understand how structural connectivity shapes neural dynamics, and uses this framework to uncover the mechanisms underlying adaptive, flexible behavior. More details about the PhD positions can be found here: https://shaonannan.github.io/position/ I would greatly appreciate it if you could share this message with anyone who might be interested. All applications will be treated confidentially and without bias. Best regards, Yuxiu SHAO Chaire de Professeur Junior Laboratoire Jean Alexandre Dieudonne (LJAD/CNRS UMR7351) & NeuroMod Université Côte d'Azur Campus Sciences, Parc Valrose, 28 avenue Valrose

June 2, 2026