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Job offer for Postdoctoral Researcher in Computational Neuroimaging (Psychosis & Lifespan Normative Modelling)
by christian.gaser＠uni-jena.de Sept. 1, 2025

Sept. 1, 2025

**Employer**: Department of Psychiatry, Jena University Hospital **Contract**: 2 years initially; renewable for up to 3 additional years subject to performance **Project**: “The glue that holds the pieces together”: Unlocking Cognitive Health in Psychotic Disorders (Wellcome Trust) **Application deadline**: 30 September 2025 **Preferred start**: from November 2025 *Short description* This project will (i) quantify global and regional deviations from typical ageing using brain-age models, (ii) disentangle prenatal vs. postnatal structural deviations by leveraging lifespan normative models for cortical gyrification and grey-matter volume, and (iii) characterise and predict longitudinal brain change in psychosis by estimating individual rates of ageing. *Role* You will extend BrainAGE from global estimates to regional normative models using Bayesian regression and GAMLSS to derive age- and region-specific reference distributions (centiles) and individual deviation scores. The work spans multi-site morphometry, scanner harmonisation, model comparison, and external validation. You will work closely with the project lead at the University of Bath and collaborate with partners in Cambridge, Oxford, London, and Cardiff on all aims, including joint analyses and dissemination. *What we offer* * Join the small, highly engaged team behind the CAT12 toolbox and BrainAGE. * A collaborative, supportive atmosphere with genuine day-to-day interaction and room to do your best work. * Close collaboration with the Bath lead and active links to Cambridge, Oxford, London, and Cardiff (regular cross-site meetings and joint outputs). *Requirements* * PhD in Psychology, Mathematics, Computer Science, Neuroscience, Physics, or a related field. * Strong skills in machine learning and statistics; experience with Gaussian process regression and/or probabilistic regression. * Experience with normative modelling is an advantage. * Proficiency in Python (and ideally C/C++); experience with MRI morphometry. * Ability to work independently and as part of a team; excellent written and spoken English. *Application* Please send one PDF containing: motivation letter; CV (including publications); degree certificates with grades; list of relevant courses; and the names and email addresses of two referees to Christian.Gaser(a)uni-jena.de till 30 September 2025. *Contact* For further information about the project, contact: Prof. Dr. Christian Gaser — Tel: +49-3641-9325778 — Email: Christian.Gaser(a)uni-jena.de

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Tenure track position in Lyon: AI & Neurociences
by DI VOLO MATTEO Sept. 1, 2025

Sept. 1, 2025

Dear Colleagues, We are pleased to announce the opening of a Junior Professor (CPJ) position at the University of Lyon 1, entitled Towards a New Convergence of AI and Neuroscience The recruited candidate will lead a research project focused on the development of biologically plausible AI models, linking physiology and cognition. The position is affiliated with the CRNL (Centre de Recherche en Neurosciences de Lyon): https://www.crnl.fr/fr On the teaching side, the CPJ will contribute to the creation and promotion of new interdisciplinary training programs at the interface of AI and Biology/Health, across Bachelor, Master, and Engineering levels. A funding package of 260,000 euros (in addition to the candidate’s salary) is allocated to support of this project. Applications must be submitted via the French Galaxie–Odyssee platform, closing on September 11. Please note that an account must be created to access the platform. Contacts: * Research Laurent Bezin, CRNL Director – laurent.bezin(a)cnrs.fr<mailto:laurent.bezin@cnrs.fr> Jérémie MAattout, CRNL - jeremie.mattout(a)inserm.fr * Teaching Matteo Di Volo – matteo.di-volo(a)univ-lyon1.fr We would appreciate it if you could circulate this announcement within your networks. Many thanks, Matteo di Volo

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Reminder: Call for proposals_EduBrains Training Programme ***deadline 04.09.25***
by Frings, Maren Sept. 1, 2025

Sept. 1, 2025

Dear all, We hope this email finds you well. We would like to kindly remind you about the ongoing call for proposals for the EduBrains training series, a unique opportunity for early-career researcher! The training program will offer the opportunity to: * Gain practical and theoretical skills in innovative brain health research * Become a power user of <https://www.ebrains.eu/> EBRAINS, the open research infrastructure that gathers data, tools and computing facilities for brain-related research * Receive training on ethics, dual use, data protection and FAIR open science * Connect with international initiatives, institutions and leading scientists The series of events comprises a total of seven modules over a period of 24 months, which are planned as on-site and online events. Send us an application letter in English explaining your motivation for participating in the training series and include two letters of recommendation until 04.09.2025 to <mailto:edubrains@fz-juelich.de> edubrains(a)fz-juelich.de. More information can be found https://foldercase.com/proext.php?pid=466. and, in case of questions, feel free to contact us. Spaces are limited, don´t miss the chance to be part of this unique initiative! Warm regards, Maren and Valentina Dr. Maren Frings Project Manager Simulation & Data Lab Neuroscience Division HPC in Life Science Jülich Supercomputing Centre Tel +49 2461 61-6431 Fax +49 2461 61-6656 <http://www.fz-juelich.de/ias/jsc> www.fz-juelich.de/ias/jsc --------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------- Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellvertretende Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers --------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------- Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellvertretende Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers --------------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------------

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PhD position on multiscale theory and simulation of human language processing
by Tilo Schwalger Aug. 28, 2025

Aug. 28, 2025

A PhD position on multiscale theory and simulation of human language processing is available in the group of Prof. Tilo Schwalger at the Technical University Berlin and the Bernstein Center for Computational Neuroscience Berlin (https://page.math.tu-berlin.de/~schwalge) Germany. The position is offered in the context of the project The Role of Long-Range Brain Connectivity in Human Language Processing (ConnLingua), a collaboration between the Technical University Berlin, the Max-Planck Institute for Human Cognitive and Brain Sciences (Leipzig), the Technical University Chemnitz, and the Czech Acedemy of Science (Prague). We will use spiking neural network models for cortical microcircuits, models of white-matter connectivity as well as advanced mean-field methods and human MEG data to develop a whole-brain model that elucidates the neural mechanisms of syntactic language operations. The candidate should have a background in physics, mathematics, computer science, or computational neuroscience. Excellent analytical and programming skills as well as a keen interest in mathematical modeling are required. In addition, expertise in stochastic nonlinear dynamics is desirable. At the Bernstein center, we offer a structured program guiding doctoral researchers through the PhD work and plenty of opportunities for collaborations. The PhD student will also benefit from intensive scientific interactions among researchers of the different labs of the project. For more details, please contact me (e-mail: tilo.schwalger(a)bccn-berlin.de) Please include a CV with publication list. -- Prof. Dr. Tilo Schwalger Bernstein Center for Computational Neuroscience, Berlin Philippstr. 13, Haus 6, 10115 Berlin Room: 202, phone: 0049(0)302093 6788 Technische Universität Berlin Institute of Mathematics Straße des 17. Juni 136, 10623 Berlin Room: 784, phone: +49 (0)30 314-22698 http://page.math.tu-berlin.de/~schwalge tilo.schwalger(a)bccn-berlin.de

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Submissions Open to the Frontiers in Computational Neuroscience Research Topic
by Amin Kamaleddin Aug. 27, 2025

Aug. 27, 2025

Dear Colleagues, We're pleased to announce an open call for submissions to the Frontiers in Computational Neuroscience Research Topic: Advancements in Neural Coding: Sensory Perception and Multiplexed Encoding Strategies A comprehensive collection exploring neural coding principles across sensory systems, including multiplexed encoding, temporal dynamics, neuromorphic hardware implementations, noise resilience, and beyond. Why submit? - This Research Topic is currently accepting submissions - Articles may include Original Research, Methods, Reviews, Hypotheses & Theory, and more—refer to the full list of article types on the collection webpage Submit via this link: Submission Link Key next steps: - Review the section’s Author Guidelines to ensure your manuscript aligns with scope and formatting. - Reach out promptly—though no formal deadline is stated, early submissions are encouraged. Please share this with peers whose work aligns with the topic, and consider contributing to this timely and impactful collection. Best regards,

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Tenure Track Position at Rice University
by Caleb Kemere Aug. 26, 2025

Aug. 26, 2025

Dear Colleagues, The Department of BioSciences at Rice University (biosciences.rice.edu) invites applications for an tenure track faculty position. We seek candidates with research programs in theoretical and computational neuroscience, including those who seek to understand nervous system structure and function at the molecular, cellular, and/or developmental levels. All ranks (Assistant, Associate, or Full Professor) with a track record of research excellence commensurate with their seniority will be considered. Application review will start October 1, 2025 and will continue until the positions are filled. More information can be found here: https://apply.interfolio.com/172558 Please pass along this announcement to any potential candidates you know who might be interested. Any inquiries regarding this search may be sent to Drs. Rosa Uribe (ru5(a)rice.edu) and Joff Silberg (joff(a)rice.edu) Caleb Kemere -- – 713-348-6089 : MS-384 : BRC971 : http://rnel.rice.edu – – Assoc. Prof, Rice University Electrical & Computer Engineering –

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Tübingen System Neuroscience Symposium 2025 (SNS2025)
by Tübingen SNS Aug. 26, 2025

Aug. 26, 2025

The Centre for Integrative Neuroscience of the University of Tübingen is pleased to announce the *Tübingen Systems Neuroscience Symposium 2025 (SNS2025)* on *October 6 and 7, 2025 * This annual international meeting will bring together leading researchers in the field of systems neuroscience featuring plenary lectures, poster sessions and social events. Join us in Tübingen to learn about latest advances in systems neuroscience. Confirmed speakers: Marlene Cohen, *University of Chicago* Simone Ebert, *University of Tübingen* Marion Inostroza, *University of Tübingen* Tim Kietzmann,* University of Osnabrück* Etienne Koechlin, *Ecole Normale Supérieure de Paris* Floris de Lange, *Radboud University Nijmegen* Jan Lause, *University of Tübingen* Arthur Lefevre, *University of Lyon* Valerio Mante,* ETH and University of Zürich* Emily Oby, *Queen's University* Liina Pylkkänen, *New York University* Tomás Ryan, *Trinity College Dublin* Laura Seidler, *University of Tübingen* Sylvia Schröder, *University of Sussex* Manuel Spitschan, *Max Planck Institute Biological Cybernetics* Christopher Summerfield, *Oxford University* Mara Wolter, *University of Tübingen* For more information and registration, please visit: http://meg.medizin.uni-tuebingen.de/sns_2025/ Follow us on: 🦋 Bluesky: https://bsky.app/profile/snstuebingen.bsky.social 🐦 X (Twitter): https://x.com/tuebingen_SNS Best regards, SNS 2025 Conference Organizers

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UK Theoretical Neuroscience Workshop & Call for Posters – London, Dec 16, 2025
by Dimitris Pinotsis Aug. 26, 2025

Aug. 26, 2025

UK Theoretical Neuroscience Workshop & Call for Posters – London, Dec 16, 2025 We are delighted to invite you to the UK Theoretical Neuroscience Workshop, taking place on December 16, 2025, at City St George’s, University of London. This one-day workshop in central London will bring together researchers from across the UK and beyond to share ideas, present cutting-edge work, and spark discussions on computational and theoretical neuroscience. Please find the schedule and details below. Highlights: - An exciting lineup of invited talks covering diverse areas of theoretical and computational neuroscience. - A Poster Session, offering a platform to showcase your research and engage with peers. - A Poster Award, recognizing outstanding contributions and presentations. Schedule: 09:05–09:40 — Claudia Clopath — Semantic extraction via systems consolidation 09:40–10:15 — Dan Goodman — TBA 10:15–10:50 — Thomas Nowotny — Harnessing the adjoint method for gradient descent in spiking neural networks 10:50–11:15 — Break & Posters 11:15–11:50 — Li Su — Digital twin models that talk the talk and walk the walk 11:50–12:25 — Sean Froudist-Walsh — TBA 12:25–13:00 — Vassilis Cutsuridis — Super memory retrieval in the hippocampus 13:00–14:00 — Lunch & Posters 14:00–14:35 — Karl Friston — Active inference and artificial curiosity 14:35–15:10 — Rick Adams — TBA 15:10–15:45 — Conor Houghton — TBA 15:45–16:10 — Break & Posters 16:10–16:45 — Peter Grindrod — The insights from neuroscience driving next generation neuromorphic AI and information processing 16:45–17:20 — Enrico Amico — Higher-order connectomics of human brain function 17:20–17:30 — Poster Award & Closing Remarks Call for Posters (with Poster Award): We invite poster submissions across theoretical and computational neuroscience. Present your work, spark new collaborations, and compete for the Poster Award. Venue: City St George’s, University of London (Auditorium B200) Date: Tuesday, December 16, 2025 Register / Submit a Poster: [ link ] | | | | | | | | | | | UK Theoretical Neuroscience Workshop Register for the UK Theoretical Neuroscience Workshop, which will be held at City St George’s, University of Lo... | | | We look forward to welcoming you to London for a stimulating day of theory-driven neuroscience! Best regards, Steve Coombes and Dimitris Pinotsis

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Fwd: Professor in Machine Learning and AI, University of Surrey, UK
by roman bauer Aug. 25, 2025

Aug. 25, 2025

Dear all, We are pleased to announce an open professor position at the University of Surrey: https://jobs.surrey.ac.uk/Vacancy.aspx?id=14997 Closing Date: Tuesday 30 September 2025 The School of Computer Science and Electronic Engineering at the University of Surrey is seeking to recruit a Professor in Machine Learning and AI with a focus on Large Machine Learning Models to expand our dynamic team of internationally recognised AI faculty and researchers. This is part of a strategic investment of 6 posts across the School in AI, Cyber Security and Satellite Communications. In conjunction with the postholder, the School will also appoint a Lecturer to support their research direction and strategy. The School is home to two established research centres with expertise in AI and Machine Learning: the Computer Science Research Centre (CSRC) and the Centre for Vision, Speech and Signal Processing (CVSSP). This post is aligned to the Nature Inspired Computer and Engineering group within Computer Science. Surrey has an established international reputation in AI research, 1st in the UK for computer vision and top 5 for AI, computer vision, machine learning, robotics and natural language processing (CSRankings.org) and were 7th in the UK for REF2021 outputs in Computer Science research. Computer Science and CVSSP are at the core of the Surrey Institute for People-Centred AI (PAI), established in 2021 as a pan-University initiative which brings together leading AI research with discipline expertise across health, social, behavioural and engineering sciences, business, law and the creative arts to shape future AI for the benefit of people and society. PAI leads a portfolio of over £100m in grant awards including major research activities in creative industries and healthcare, and two doctoral training programmes with funding for over 100 PhD researchers: the UKRI AI Centre for Doctoral Training in AI for Digital Media Inclusion and the Leverhulme Trust Doctoral Training Network in AI-Enabled Digital Accessibility. The candidate should have wide knowledge of the AI field and ideally experience of working with industry. The candidate must have a proven record of internationally recognised research contributions and leading significant research programmes in AI and Machine Learning. Current research in AI within the School focuses on solving foundational and real-world problems in areas such as Natural Language Processing, Optimisation, Audio and Vision, AI for Health and Medical Applications, Robotics, and Security. Informal inquiries can be directed to the Director of the Computer Science Research Centre, Professor Steve Schneider at *s.schneider(a)surrey.ac.uk* <s.schneider(a)surrey.ac.uk>. The full advert, and application portal, is available at the link above. Our staff and students come from all over the world and we are proud of our friendly and inclusive culture. The University and the Department specifically are committed to building a culturally diverse organisation. Applications are strongly encouraged from female and minority candidates. Best wishes, Roman *Roman Bauer, Ph.D.Senior LecturerHead of the Nature Inspired Computing and Engineering (NICE) Research GroupBioDynaMo SpokespersonComputer Science Research CentreUniversity of SurreyGuildford, UK*

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Postdoc NeuroAI: AI-powered eye-tracking technology and reconstruction of mental images from neuroimaging data
by Roberto Bottini Aug. 22, 2025

Aug. 22, 2025

The BottiniLab <https://scholar.google.com/citations?user=_rV7XZgAAAAJ&hl=en&oi=ao> (University of Trento Italy) invites applications for a postdoctoral researcher position focusing on two projects: 1. Development of high-precision eye-tracking technology for closed-eye conditions using machine learning and deep neural networks (DNNs). 2. Reconstruction of visual imagery (and potentially dreams) from non-invasive neuroimaging techniques (fMRI/MEG), combined with machine learning-based eye-tracking technology. The research offers promising applications in both academic and industrial contexts. This position is for an initial term of 24 months, with the possibility of renewal pending available funding. We seek a postdoctoral fellow with strong interests and a solid background in brain decoding and the application of machine learning methods in neuroscience. The eye-movement project (approximately 60-70% workload) involves training neural networks to map Electrooculography (EoG) signals onto concurrently recorded eye-tracking data. This approach aims to significantly enhance EoG precision and enable accurate eye-tracking even with eyes closed. This project is funded by an ERC Proof of Concept (PoC) grant. The brain decoding project (approximately 30-40% workload) utilizes deep neural networks and diffusion models to decode visual information from neuroimaging data and generate images (pictures, short video) directly from brain activity. Our ultimate aim is to apply this technology to internally generated mental contents, including visual imagery, dreams, and lucid dreaming. This project is conducted in collaboration with Dr. Paolo Rota <https://scholar.google.com/citations?user=K1goGQ4AAAAJ&hl=en&oi=ao> from the University of Trento. Lab Environment: The BottiniLab (http://www.bottinilab.com/) is an international research team comprising members from various regions worldwide. Our dynamic and growing group currently includes 3 postdocs, 4 Ph.D. students, and 2 research assistants. The working language at CIMeC is English, promoting an inclusive and globally connected research environment. Facilities and Resources: The CIMeC hosts state-of-the-art research facilities, including: • Siemens Prisma 3T MRI scanner • Magnetoencephalography (MEG) – newly acquired with exceptional signal quality • Transcranial Magnetic Stimulation combined with EEG (TMS-EEG) • Advanced eye-tracking technology • Human intracranial stereotactic EEG, facilitated through external collaborations with leading neurosurgical centers Life in Trentino offers exceptional natural beauty, cultural vibrancy, and outstanding quality of life, making it an ideal location for both academic and personal growth (https://www.visittrentino.info/en) Applicants must hold a Ph.D. and have substantial experience and interest in artificial neural networks and machine learning. Candidates without prior neuroscience experience but possessing strong computational skills are also encouraged to apply; relevant neuroscience training will be provided. To express your interest, please email the lab manager, Lucia Albasini ( lucia.albasini(a)unitn.it) and cc Roberto Bottini (roberto.bottini(a)unitn.it) Include the following documents: • CV • A brief research statement *Application Deadline: August 29th, 2025* *Starting date: January 2026* -- ****************************************** Roberto Bottini Professor of Cognitive Neuroscience CIMeC - Center for Mind/Brain Sciences University of Trento Via delle Regole 101 38123, Mattarello (TN) Phone: +390461282778 http://www.bottinilab.com ******************************************

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Postdoctoral position in quantifying neurovascular coupling using simultaneous EEG/fNIRS (Boston University)
by Emily Stephen Aug. 20, 2025

Aug. 20, 2025

Hi All, We have an opening for a two-year Postdoctoral Associate to join our team investigating the mechanisms underlying neurovascular coupling and its modulation by attention and neuromodulation, using simultaneous EEG/fNIRS recordings. Our research team spans Boston University (E Stephen, Math/Stats; D Boas, BME; M Esterman, BUMC; and more), and the position is through the Department of Mathematics and Statistics. For more details and application, see: https://www.mathjobs.org/jobs/list/26858 Thanks, Emily Stephen

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Call for Papers NeurIPS 2025 Workshop on Symmetry, Geometry and Neural Representations (NeurReps)
by Simone Azeglio Aug. 20, 2025

Aug. 20, 2025

Hello Everyone, We are pleased to announce the call for papers for the 4th edition of the *NeurReps Workshop on Symmetry and Geometry in Neural Representations <https://www.neurreps.org/>* at NeurIPS 2025 in San Diego (December 6-7). Our workshop brings together researchers from computational neuroscience, deep learning, and applied mathematics to explore geometric principles underlying neural representations in both biological and artificial systems. *Important Information:* - *Submission Deadline:* August 29, 2025 (11:59 PM AoE) - *Author Notification:* September 22, 2025 - *Best Paper Awards (sponsored by NewTheory AI <https://www.newtheory.ai/>):* $500 prize for top submissions in each category: - Neuroscience & Interpretability - Topological & Geometric ML - Symmetry & Equivariance *Submission Tracks:* 1. Proceedings Track (up to 9 pages, published in PMLR) 2. Extended Abstract Track (up to 4 pages) *Topics of Interest:* - Representational geometry in neural data - Theory and methods for learning invariant/equivariant representations - Topological deep learning and topological data analysis - Dynamics of neural representations - Geometric approaches to mechanistic interpretability - Symmetries, dynamical systems, and learning *Invited Speakers:* - SueYeon Chung (NYU & Flatiron) - Surya Ganguli (Stanford) - Max Tegmark (MIT) - Katrin Franke (Enigma Project) - Bastian Rieck (University of Fribourg) - Razvan Pascanu (DeepMind & MILA) For submission instructions and LaTeX templates, please visit: https://www.neurreps.org/call-for-papers Questions? Contact us at organizers(a)neurreps.org Best regards, Simone Azeglio & NeurReps Workshop Organizers

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[Meetings] Call for Participation – Workshop on NeuroDesign in Human–Robot Interaction (IEEE RO-MAN 2025)
by NeuroDesign in HRI Aug. 18, 2025

Aug. 18, 2025

Dear Colleagues, We are pleased to invite you to the 3rd Workshop on NeuroDesign in Human–Robot Interaction, held in conjunction with the IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2025). The event will take place on August 25, 2025 in Eindhoven, the Netherlands, with both onsite and online participation options. ================================================== CALL FOR PARTICIPATION Date: August 25, 2025 Time: 9:00 am – 5:00 pm CEST Location: Eindhoven, Netherlands Format: Hybrid (Onsite & Online via Zoom) Workshop Website: https://neurodesign-in-hri.webflow.io Conference Website: https://www.ro-man2025.org Registration (Zoom link): https://forms.gle/fQMxJtkXb8JEU2WR6 ================================================== WORKSHOP DESCRIPTION The NeuroDesign in Human–Robot Interaction Workshop explores how neuroscience, AI, psychology, wearable robotics, and human-centered design can converge to create the next generation of brain-centered, intuitive, and engaging human–robot systems. NeuroDesign goes beyond performance metrics, focusing on cognitive and physical interactions (cHRI/pHRI) that feel natural to the brain and body—adaptive, ergonomic, and socially meaningful. The program will feature cutting-edge research, live demonstrations, and interdisciplinary discussion on themes such as: Themes include: - Brain–Computer Interfaces (BCI) and Cognitive HRI - Wearable and Assistive Robotics - Neuroergonomics and Human Factors - Embodied AI and Human–AI Co-adaptation - Affective and Social Robotics - Soft Robotics, Exosuits, and Human Augmentation ================================================== DISTINGUISHED SPEAKERS Keynote Speakers: - Jeff Krichmar, University of California, Irvine - Alessandra Sciutti, Italian Institute of Technology - Matteo Bianchi, University of Pisa - Raphaëlle N. Roy, Université de Toulouse - Kyle Yoshida, University of California, Los Angeles - Kai Arulkumaran, Araya Inc. - Kinsey Herrin, Georgia Institute of Technology - Alexis E. Block, Case Western Reserve University Industry Spotlight: - Tharun Iyer, OpenBCI - Ryan Hanson, Wearable Sensing ================================================== STUDENT EXPO & COMPETITION The Student EXPO & Competition is still open for submissions. Undergraduate, Master’s, and PhD students are invited to present their concepts, prototypes, or exploratory studies in HRI, BCI, and neuro-inspired design. Highlights: - Prizes doubled compared to the previous call - All 10 selected finalists will receive awards - Awards include: * Best Innovation in HRI NeuroDesign (up to €500) * Most Popular Project Award (including a full APC waiver for Frontiers in Robotics and AI) * Lucky Draw Prizes (e.g., DIY Neuroscience Kit, Raspberry Pi 5, wearable EMG kits, etc.) * Certificates for all finalists Intent-to-Participate Deadline: August 20, 2025 Intent Form: https://forms.gle/TeywZB55NchRXeWn6 Competition Guidelines: https://neurodesign-in-hri.webflow.io/#competition-guidelines ================================================== JOIN US The NeuroDesign in HRI Workshop provides a unique platform to engage with leading researchers, industry innovators, and student projects shaping the future of human–machine synergy. We look forward to welcoming you in Eindhoven or online. Best regards, Organizing Committee 3rd Workshop on NeuroDesign in Human–Robot Interaction @ IEEE RO-MAN 2025 Email: neurodesign.hri(a)gmail.com Website: https://neurodesign-in-hri.webflow.io

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Postdoctoral Research Fellowship in AI for Low-Cost PET–MRI Imaging at the University of Cape Town, South Africa
by jon.shock＠gmail.com Aug. 17, 2025

Aug. 17, 2025

The Shocklab, picoPET, and SoLow research groups at the University of Cape Town (UCT) invite suitably qualified candidates to apply for a Postdoctoral Research Fellowship in AI for low-cost medical imaging. The fellowship advances research at the intersection of artificial intelligence, image reconstruction, and multimodal neuroimaging, with applications to global health and diagnostic equity in low-resource settings. Call for Applications The successful fellow will be jointly hosted by the Department of Mathematics and Applied Mathematics, the picoPET group in the Department of Physics, and the SoLow group in the Department of Biomedical Engineering, and will conduct research on AI-based PET/MRI reconstruction, PET–MRI fusion, and advanced image analysis techniques. Conditions of Award (General) • Applicants must have achieved a doctoral degree within the past five (5) years. • Applicants may not previously have held full-time, permanent professional or comprehensive academic posts. • The successful incumbent will be required to comply with UCT’s approved policies, procedures, and practices for postdoctoral fellows. • No benefits or allowances are included other than those stated under Value and Tenure. • Postdoctoral fellows may undertake up to 12 hours per week of remunerated employment outside the fellowship for professional development; such remuneration is taxable and processed via UCT HR. Value and Tenure • Value of the fellowship: R500,000 per annum, compliant with the SARS Binding Class Ruling and therefore tax-exempt. • Travel allowance: R50,000 per annum for conferences and collaborations. • Tenure: One (1) year, renewable for up to one (1) additional year (maximum two years). In line with UCT policy, further extension up to five years of enrolment may be considered under exceptional circumstances. • Location: University of Cape Town, South Africa. • Start date: Available immediately or from early 2026. Academic Criteria • PhD in a relevant field (e.g., AI, biomedical engineering, medical imaging, applied mathematics, physics). • Experience with image reconstruction/medical imaging or a strong computer vision background, and deep learning. • Proficiency in Python-based ML frameworks (e.g., JAX, PyTorch). • Strong publication record and ability to work independently. Project Description The fellow will lead research at the interface of AI and low-cost imaging hardware, including: • Design of AI-based PET and MRI reconstruction algorithms optimized for signal recovery, clinical interpretability, and efficiency. • Validation on simulated and experimental data, benchmarking against MLEM, OSEM, and FBP using PSNR/SSIM or related metrics. • Development of PET–MRI image fusion pipelines combining picoPET and SoLow data. • Evaluation of the diagnostic utility of fused images through expert review or pilot clinical studies. • Exploration of advanced techniques (e.g., end-to-end multimodal models, latent-space regularization, attention mechanisms, diffusion-based denoising, super-resolution). The long-term aim is to demonstrate that AI can enable high-quality medical imaging in low-resource settings using affordable hardware. Research Environment • Shocklab, led by Associate Professor Jonathan Shock (Department of Mathematics and Applied Mathematics; Interim Director of the UCT AI Initiative). • picoPET, led by Dr James Keaveney, developing novel low-cost PET systems. • SoLow, led by Professor Ernesta Meintjes, pioneering low-field MRI technology. The fellow will join an interdisciplinary team across Biomedical Engineering, Mathematics and Applied Mathematics, Physics, and the Neuroscience Institute. Computing Resources • Access to the UCT High Performance Computing cluster. Application Requirements Please submit a single PDF including: • Letter of application stating expertise, research interests, and experience. • Curriculum vitae with publication list. • Description of prior research and its relevance to AI-based medical imaging. • Research statement (1–2 pages) outlining ideas for the PET–MRI project. • Certified copies of academic transcripts. • Either names and contact details or letters of reference from at least two academics who have taught, supervised, or worked with the applicant. Applications and enquiries: Associate Professor Jonathan Shock, jonathan.shock(a)uct.ac.za Selection Process Eligible and complete applications will be considered by the hosting departments in consultation with the relevant research groups. Shortlisted candidates may be invited for interview. Key Dates Application deadline: 15 September 2025 Interviews: October 2025 About UCT and Cape Town UCT, founded in 1829, is consistently ranked among Africa’s leading universities, with a diverse community of over 30,000 students and a strong international profile. The main campus lies at the foot of Table Mountain in Cape Town, a city offering a unique blend of natural beauty and urban culture. Living costs in Cape Town are substantially lower than in major US or European cities. See: https://www.numbeo.com/cost-of-living/in/Cape-Town Equity Statement UCT is committed to the pursuit of excellence, diversity and redress in achieving its equity targets in accordance with the Employment Equity Plan of the University and its Employment Equity goals and targets. The Employment Equity Policy is available at Employment Equity Policy. Indemnity The University of Cape Town reserves the right to disqualify ineligible, incomplete and/or inappropriate applications, change the conditions of award, or make no awards at all.

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[OIST Visiting Program] Open Calls for Visiting Scholars in FY2026 and Thematic Programs in FY2027
by Kenji Doya Aug. 17, 2025

Aug. 17, 2025

We are pleased to announce new calls for Visiting Programs at Okinawa Institute of Science and Technology (OIST). OIST is a university with no departments, eliminating artificial barriers between people working in different fields, with students and faculty from all over the world. We are seeking for applicants from interesting researchers from around the world. There are opportunities to spend several months on a beautiful subtropical island in the south of Japan, and focus solely on research. All fields are eligible, as long as the proposed project has overlap or shared interests with researchers at OIST. Invitees will be provided with travel/visa support, on-campus housing, office space in the visiting program area, access to OIST computing resources, ... Inquiries are welcome, please write to tsvp(a)oist.jp<mailto:tsvp@oist.jp> __________ OIST's Visiting Program<https://www.oist.jp/visiting-program> (TSVP) currently has open calls for Visiting Scholars in FY2026 and Thematic Programs in FY2027. Summary of currently open calls: * Thematic Programs<https://www.oist.jp/visiting-program/application-thematic-program> in FY2027: : Group of researchers, 1-2 months, all fields. (short) pre-proposals to be submitted by September 15, 2025. * Visiting Scholars <https://www.oist.jp/visiting-program/application-visiting-scholars> in FY2026: : Visits of 3-12 months, all fields. Deadline: September 15, 2025. * Experimental Visiting Scholars<https://www.oist.jp/visiting-program/application-exp-scholars> in FY2026 (only if lab access is required) * Domestic Visitors<https://www.oist.jp/visiting-program/application-domestic> in FY2025: Flexible duration, all fields, Rolling Deadline. Details: https://www.oist.jp/visiting-program/application and in the below overview image [call for tsvp visiting program2025 banner] [Visiting Program Call for Pre-Proposals for Thematic Programs banner] Overview of all OIST's Visiting Programs [8tgbpZzgdD0Fh3az.png]<https://www.oist.jp/visiting-program/application> ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Deep Math 2025 call for papers
by Ahmed El Hady Aug. 17, 2025

Aug. 17, 2025

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

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To Spike or Not to Spike: A neural network model of how neurons communicate
by Grossberg, Stephen Aug. 15, 2025

Aug. 15, 2025

Dear Comp-Neuro colleagues, I am writing to announce the publication of my new article that describes psychological and neurobiological properties of neural network models that are composed of spiking neurons. The article is: Grossberg, S. (2025). Spiking neural network models of neurons and networks for perception, learning, cognition, and navigation: A review. Brain Sciences, 15(8), 870. https://www.mdpi.com/2076-3425/15/8/870 The Abstract of the article summarizes some of its high points: This article reviews and synthesizes highlights of the history of neural models of rate-based and spiking neural networks. It explains that theoretical and experimental results about how all rate-based neural network models, whose cells obey the membrane equations of neurophysiology, also called shunting laws, can be converted into spiking neural network models without any loss of explanatory power, and often with gains in explanatory power. These results are relevant to all the main brain processes, including individual neurons and networks for perception, learning, cognition, and navigation. The results build upon the hypothesis that the functional units of brain processes are spatial patterns of cell activities, or short-term-memory (STM) traces, and spatial patterns of learned adaptive weights, or long-term-memory (LTM) patterns. It is also shown how spatial patterns that are learned by spiking neurons during childhood can be preserved even as the child’s brain grows and deforms while it develops towards adulthood. Indeed, this property of spatiotemporal self-similarity may be one of the most powerful properties that individual spiking neurons contribute to the development of large-scale neural networks and architectures throughout life. Get Outlook for Mac <https://aka.ms/GetOutlookForMac>

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Two tenure-track positions at University of Oregon
by James Murray Aug. 15, 2025

Aug. 15, 2025

Dear colleagues, The Department of Bioengineering at the University of Oregon’s Knight Campus for Accelerating Scientific Impact invites applications for two complementary tenure-track faculty positions in computational and experimental neuroengineering: 1. Computational & Data-Science Neuroengineering Examples include but are not limited to the following: neural signal processing & data analytics for feature extraction, decoding, and adaptive control, high-throughput behavior tracking and closed-loop perturbations (e.g. pose estimation, unsupervised behavior clustering, neural conditional feedback), neuromorphic computing & AI hardware or brain-inspired AI algorithm development, spatial analysis of multi-omics data. 2. Experimental & Translational Neuroengineering Examples include but are not limited to the following: clean-room micro- and nanofabrication methods for neural interfaces, neurophotonics methods for brain stimulation, recording, and imaging, pre-clinical models in bioelectric medicine or brain injury repair, brain organoid technology development, and disease models. We are particularly interested in applicants with a demonstrated track record of translating discoveries into real-world impact, including through entrepreneurial activities; a demonstrated commitment to mentoring and advancing inclusive participation in scientific training and career pathways; and success in pedagogical environments that employ evidence-based teaching practices. All ranks (Assistant, Associate, or Full Professor) with a track record of research excellence commensurate with their seniority will be considered. Further details and application instructions can be found here: https://careers.uoregon.edu/en-us/job/535571/assistantassociatefull-profess… Please pass along this announcement to any potential candidates you know who might be interested. Any inquiries regarding this search may be sent to jmurray9(a)uoregon.edu. -James -- James M Murray Assistant Professor Depts. of Biology and Mathematics and Institute of Neuroscience University of Oregon murraylab.uoregon.edu<https://murraylab.uoregon.edu>

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Super early bird tickets now available—AE Global Summit on Open Problems for AI, London (Oct 28-30th, 2025)
by Battleday, Ruairidh Aug. 15, 2025

Aug. 15, 2025

Super-early-bird registration is now open for the AE Global Summit on Open Problems for AI, taking place in London from 28–30th October 2025. Over three days, we will bring together more than 1,000 researchers, policymakers, engineers, entrepreneurs, and artists to discuss the most important open problems in AI, and how we might solve them. Programme highlights Day 1: New Algorithmic Breakthroughs and AI Infrastructure Featuring Dr David Silver <https://davidstarsilver.wordpress.com/>and Dr Raia Hadsell (DeepMind), <https://raiahadsell.com/index.html> Prof Jakob Foerster (Meta & Oxford), <https://www.jakobfoerster.com/> Dr Laura Gilbert (Tony Blair Institute) <https://www.linkedin.com/in/dr-laura-gilbert/>, Prof Emine Yilmaz (UCL) <https://www.linkedin.com/in/emine-yilmaz-978b937/>, and senior research leaders from NVIDIA <https://www.nvidia.com/en-gb/>, Thomson Reuters <https://www.thomsonreuters.com/en>, Bertelsmann <https://www.bertelsmann.com/#st-1>, Wayve <https://wayve.ai/>, and others. Day 2: AI Safety, and AI in Enterprise & Society Speakers include Prof Chris Summerfield (AISI & Oxford) <https://www.psy.ox.ac.uk/people/christopher-summerfield>, Dr Samuel Bell (Meta) <https://samueljamesbell.com/>, Dr Artemis Seaford (ElevenLabs <https://www.linkedin.com/in/artemisseaford/>), Dr Marius Hobbhahn (Apollo Research) <https://www.linkedin.com/in/marius-hobbhahn-128927175/?originalSubdomain=uk>, and leaders from ADVAI <https://www.advai.co.uk/>, Academy, Tony Blair Institute <https://institute.global/>, and Bernstein Insights <https://www.bernstein.com/our-insights/insights.html>. Day 3: AI Entrepreneurship & Application With Alexander Straub (Straub Ventures) <https://www.linkedin.com/in/alexanderstraub/?originalSubdomain=uk>, Dr Trias Gkikopoulos (Innovate UK) <https://www.linkedin.com/in/triantafyllosgkikopoulos/?original_referer=http…>, Erwann Le Lannou (XTX Markets) <https://www.linkedin.com/in/erwann-le-lannou/?originalSubdomain=uk>, Prof Rose Luckin (UCL & Educate Ventures) <https://www.linkedin.com/in/rose-luckin-5245003/?authType=&authToken=&trk=m…>, Dr Irina Jurenka (DeepMind) <https://www.linkedin.com/in/irina-jurenka-74455235/?originalSubdomain=uk>, and contributors from Google Health <https://health.google/>, Raspberry Pi Foundation <https://www.raspberrypi.org/>, and Newton’s Tree. <https://www.newtonstree.ai/> The conference will feature keynote talks, panels, breakout rooms, and an expo hall, alongside opportunities for informal discussion with colleagues from institutions including Oxford <https://www.ox.ac.uk/>, Harvard <https://www.harvard.edu/>, MIT <https://www.mit.edu/>, UCL <https://www.ucl.ac.uk/>, DeepMind <https://deepmind.google/>, Meta <https://www.meta.com/en-gb/about/?srsltid=AfmBOooyD76gNdU_z8E_JulzOLafvKow3…>, Microsoft <https://www.microsoft.com/en-gb/>, and NVIDIA <https://www.nvidia.com/en-gb/>. We’d love to see some of you there! Register via the link below: http://bit.ly/4ozMsdY -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Asst. Prof in AI @ Göttingen, Germany
by Ecker, Alexander Aug. 15, 2025

Aug. 15, 2025

We have an opening for a tenure track assistant professor position (W1 t.t. W2) in AI in our CS dept @uni-goettingen.de, Germany: https://uni-goettingen.de/en/697924.html Application deadline: Sept 19 It's a deliberately broad call. Areas of interest include: RL; VR, AR & digital avatars; Embodied AI, NLP; HCI; Causal models; Time series models; Multimodal data integration; Image analysis and CV; Computational and simulation science; Visualization; HPC and Energy-efficient AI. The position is embedded in the recently founded Lower Saxony Center for AI and Causal Methods in Medicine (CAIMed; https://caimed.de/en/) as well as the Campus Institute Data Science (CIDAS; https://www.uni-goettingen.de/en/690135.html) Göttingen. The Göttingen Campus is highly collaborative, has a great variety of data-intensive research in natural and life sciences, social science and humanities, including top-notch places like MPIs (MPI for Multidisciplinary Sciences, MPI for Solar Systems Research, MPI for Dynamics and Self-Organization), the German Primate Center (DPZ) and the German Aerospace Center (DLR). Göttingen is located in the center of Germany and Europe, in a region known for its green hills, lovely small towns with half-timbered houses and the Harz Mountains. Well-connected through motorways and high-speed trains. It is a small university town (around 120k people) and very family friendly. Everything within the city can be reached by bike within 15 min. Touch base with me if you have any questions. I’m happy to chat!

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Assistant Professor position in human cognitive neuroscience at Princeton
by Kenneth Norman Aug. 14, 2025

Aug. 14, 2025

The Department of Psychology and the Princeton Neuroscience Institute at Princeton University invite applications for a tenure-track Assistant Professor position in the area of human cognitive neuroscience to be hired jointly in Neuroscience and Psychology. We seek a faculty member with a demonstrated record of excellence in research and a strong commitment to teaching and mentoring. Relevant research approaches include, but are not limited to, computational, clinical, and neuroimaging research. Applicants are expected to hold a Ph.D. in Psychology, Neuroscience, Computer Science, or a related discipline. The successful applicant will be expected to teach both undergraduate and graduate courses in Psychology and Neuroscience, and to establish an active, internationally-recognized research program. To support their research, the successful applicant will have access to the Scully Center for the Neuroscience of Mind and Behavior, which operates a suite of facilities to study the human brain including two 3T Siemens MR scanners, OPM-MEG, EEG, eye tracking, and TMS laboratories. They will also have access to Princeton's world-class computational infrastructure, including GPU systems capable of running large-scale AI workflows. Applicants should submit online at https://www.princeton.edu/acad-positions/position/39681 and include a cover letter, curriculum vitae, research statement, teaching statement, and contact information for three references. Review of applications will begin on October 15, 2025. Expected Salary Range: $135,000 - $145,000 The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link <https://hr.princeton.edu/benefits-overview-prospective-candidates> for more information.

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Göttingen Cognition Forum on "Curiosity and Interaction" - Oct 13-15, 2025
by Priesemann, Viola Aug. 13, 2025

Aug. 13, 2025

Dear colleagues, hereby, we would kindly like to draw your attention to the upcoming Göttingen Cognition Forum<https://events.gwdg.de/event/1099/> (Oct 13-15, 2025). It is organized jointly by the CRC 1690 Cognition of Interaction, the RTG Curiosity, the Bernstein Center for Computational Neuroscience, and the EKFZ. We kindly invite you to join us in Göttingen for this interactive workshop! The abstract submission deadline (for posters as well as for presentations) to the satellite workshops has been extended to August 17. Contributions can be submitted here<https://events.gwdg.de/event/1099/abstracts/>. Plenary speakers are Jacqueline Gottlieb Bahador Bahrami Judith Burkart Steve Chang Nachum Ulanovsky and Agostina Palmigiano Participation is free of charge. Please don’t hesitate to contact me in case of questions. Information are available on: https://events.gwdg.de/event/1099/ _____________________ Prof. Dr. Viola Priesemann Max Planck Institute for Dynamics and Self-Organization & Georg-August-University Göttingen Am Fassberg 17, 37077 Göttingen viola.priesemann(a)ds.mpg.de

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ICONIP2025 Early Registration Open till August 15
by Kenji Doya Aug. 8, 2025

Aug. 8, 2025

We are pleased to announce the opening of early registration for ICONIP 2025 till August 15 (AoE). https://iconip2025.apnns.org/registration/ This year ICONIP received more than 1,000 submissions and selected about 400 papers for single-track oral, spotlight, and poster presentations, We hope to see many of you in beautiful Okinawa. ***** The 32nd International Conference on Neural Information Processing (ICONIP) 2025 Date: November 20 to 24, 2025 Venue: Okinawa Institute of Science and Technology (OIST): https://www.oist.jp Web site: https://iconip2025.apnns.org Honorary Chairs: Shun-ichi Amari, Kunihiko Fukushima Keynote Lectures: Machine Learning for Robots: From Perception to Action: Asako Kanezaki Closing the gap: From Digital AI to Physically grounded intelligence: Yew Soon Ong Development of Higher Cognitive Mechanisms: Insights From Neurorobotics: Jun Tani Tutorials: Mathematical Theories of Deep Foundation Models: Taiji Suzuki Free-energy Principle for AI Researchers and Neuroscientists: Takuya Isomura AI for Human Neuroscience Research: Saori Tanaka, Okito Yamashita, Yu Takagi Improved Explainability with Spiking Neural Networks: Maryam Doborjeh, Nikola Kasabov Methodology for Designing Brain-Like AI Software: Yoshimasa Tawatsuji, Hiroshi Yamakawa, Yudai Suzuki Special Sessions: Sustainable Smart Villages – Harnessing Edge AI and TinyML for Low-Resource Communities Generative AI and Deep Learning for Advancing Affective Human-Robot Interaction Reliable, Robust and Secure Machine Learning Algorithms and 5 more Workshops: 18th International Workshop on Artificial Intelligence and Cybersecurity (AICS 2025) Quantifying and Simulating Multi-Neuromodulatory Dynamics in the Biological Brain and 5 more General Chairs: Kenji Doya, Maryam Doborjeh Program Chairs: Tadahiro Taniguchi, Andrew Chi Sing Leung Inquiry: iconip2025(a)apnns.org ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Postdoc position in the Unit on the Neural Computations in Learning, NIMH
by Langdon, Angela (NIH/NIMH) [E] Aug. 7, 2025

Aug. 7, 2025

We have an opening for a postdoctoral fellow to join my lab at the National Institute of Mental Health at the NIH campus in Bethesda, MD. Research in the lab is focused on the computational neuroscience of reward prediction and learning. Broadly, we study how timing, inference processes and goal selection modulate learning in reward-guided tasks in animals and humans, and how these processes are instantiated in neural activity across the reward learning circuits of the brain. Our goal is to understand how reward learning is altered in compulsive behaviors, addiction, and motivational deficits in disorders of mental health. We are looking for a postdoc who is interested in developing approaches from reinforcement learning, dynamical systems theory, and Bayesian inference to understand the online regulation of reward prediction and learning in neural activity and behavior. We work with a broad network of collaborating labs that span rodent, NHP and human studies, and the ideal candidate will be comfortable working in a highly interdisciplinary environment to pursue novel and translational insights into the neural basis of reward learning. This opening is an excellent opportunity for a computational neuroscientist who wishes to apply theoretical ideas to understand empirical data, with the opportunity to collaborate on novel paradigms to test computational models of reward-guided behavior and reward learning in the brain. An overview of research training at NIH can be found here: https://www.training.nih.gov/research-training/ Interested candidates should have strong quantitative and programming skills, a background in neuroscience, psychology, cognitive science or relevant quantitative discipline and a record of scientific contributions in an area relevant to research in the lab. Interested candidates should send a brief research statement (1-2 paragraphs) and a cv to Dr Angela Langdon (angela dot langdon at nih dot gov). Informal enquiries are welcome!

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Announcing SNUFA 2025: Nov 5–6 (online) – Abstract submission and registration now open!
by Friedemann Zenke Aug. 6, 2025

Aug. 6, 2025

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

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⏳ 1 Month Left – Submit at COMPLEX NETWORKS 2025, Binghamton NY, USA
by Hocine Cherifi Aug. 6, 2025

Aug. 6, 2025

Dear Researchers, Only one month remains to submit your work to *COMPLEX NETWORKS 2025* <https://complexnetworks.org/> — the leading international forum for complexity science, data science, and computational social science. *We welcome:* ✅ *Full Papers* (up to 12 pages, unpublished) – included in *Springer *SCI <https://link.springer.com/series/7092/books> proceedings ✅ *Extended Abstracts* (up to 4 pages) – included in the *Book of Abstracts* (ISBN) Selected papers will be invited to special issues in top journals, including *PLOS Complex Systems*, *Applied Network Science*, *Entropy*, and more. *Why participate?* · *Present* your work to an engaged, international audience · *Publish* in high-visibility outlets · *Connect* with leading scholars and practitioners from around the world 📅 *Submission Deadline:* September 2, 2025 📍 *Conference:* December 9–11, 2025 🎤 *Keynotes:* Luis Bettencourt, Michelle Girvan, Kimberly Glass, Mark Newman, David Stark 🎓 *Tutorials:* Brennan Klein, Yian Yin (December 8) 📄 *Journal Opportunities:* PLOS One, PLOS Complex Systems, Applied Network Science, Entropy, and more Don’t miss this opportunity to shape the future of complexity research. 👉 *Submit today:* https://complexnetworks.org/submission/ More info : https://complexnetworks.org/ We look forward to your contribution, Join us at COMPLEX NETWORKS 2025 <https://complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 21 August
by Eugenio Piasini Aug. 5, 2025

Aug. 5, 2025

Up to 3 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2025. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience group (https://phdcns.sissa.it/) hosts 6 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language, tactile perception and learning, and neural computation. Our research is highly interdisciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open. The application deadline for the fall admission round is 21 August 2025. Please apply here<https://pica.cineca.it/sissa/phd-cns-02-2025/>, and see the admission procedure page<https://phdcns.sissa.it/admission-procedure> for more information. Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries.

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Master's program in Neurorobotics at Chemnitz University of Technology
by Fred Hamker Aug. 4, 2025

Aug. 4, 2025

I would like to draw your attention to our recently revised Master's program in Neurorobotics at Chemnitz University of Technology (Germany). The program is hosted within the Department of Computer Science and integrates robotics with fields such as neural networks, computational neuroscience and reinforcement learning. It is open to computer scientists, but also to students with a bachelor's degree in related disciplines, such as physics, engineering and psychology with sufficient background in computer science. The official language is German, but an English speaking track is possible as most courses are taught in English. Language requirements are English Level B2 and German Level B2. Details can be found here: https://www.tu-chemnitz.de/zpa/sopo/88/BFB.php International students who are interested in studying in Chemnitz find background information here: https://www.tu-chemnitz.de/international/incoming/index.php.en Questions from interested students can be directed to Prof. Dr. Fred Hamker fred.hamker(a)informatik.tu.chemnitz.de <mailto:fred.hamker@informatik.tu.chemnitz.de> Chemnitz University of Technology is an official node of the Bernstein Network Computational Neuroscience (https://bernstein-network.de/netzwerk/bernstein-nodes/bernstein-node-chemni…) and associated partner of the Robotics Institute Germany (https://robotics-institute-germany.de <https://robotics-institute-germany.de/>). Chemnitz is the third-largest city of the state of Saxony, next to Leipzig and Dresden, with a rich tradition of music and culture. Chemnitz is known for its affordable costs of living, offers a good quality of life with a mix of urban and green spaces and is close to scenic mountains. -------------------- Prof. Dr. Fred H Hamker Artificial Intelligence Department of Computer Science Chemnitz University of Technology Strasse der Nationen 62 D - 09107 Chemnitz Germany Tel: +49 (0)371 531-37875 Fax: +49 (0)371 531-25739 email: fred.hamker(a)informatik.tu-chemnitz.de www: http://www.tu-chemnitz.de/informatik/KI/

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PhD position in large-scale brain modeling and simulation
by Sacha van Albada Aug. 4, 2025

Aug. 4, 2025

A PhD position on the large-scale spiking network simulation of the human cerebral cortex is available in the group of Prof. Sacha van Albada at the Institute for Advanced Simulation (IAS-6), Jülich Research Center, Germany (https://www.fz-juelich.de/en/ias/ias-6/forschung/theoretical-neuroanatomy) The position is offered in the context of the project Supercomputing and Modeling for the Human Brain (SMHB), a collaboration between the IAS-6, the Jülich Supercomputing Center, and the Institute of Neuroscience and Medicine (INM-1) (https://www.fz-juelich.de/en/smhb) We will use data from a multimodal human brain atlas (https://www.ebrains.eu/tools/human-brain-atlas) to develop a refined version of the human cortex model of Pronold et al. (https://academic.oup.com/cercor/article/34/10/bhae409/7826014) The candidate should have a background in physics, mathematics, computer science, biology (or specifically neuroscience), or engineering. Excellent quantitative and analytical skills are highly valued, as are programming and writing skills. We offer a structured program guiding doctoral researchers through the PhD work and plenty of opportunities for local and international collaboration. The researchers will be embedded in a vibrant research institute (https://www.csn.fz-juelich.de<https://www.csn.fz-juelich.de/>). Links also exist to the University of Cologne, so that candidates can gain teaching/tutoring experience. To apply, please send a motivation letter, CV, and university transcripts and certificates to s.van.albada(a)fz-juelich.de<mailto:s.van.albada@fz-juelich.de> and to our scientific coordinator Dr. Martina Reske (m.reske(a)fz-juelich.de<mailto:m.reske@fz-juelich.de>). -- Prof. Sacha Jennifer van Albada Institute for Advanced Simulation (IAS-6) Computational and Systems Neuroscience Jülich Research Centre Jülich, Germany Tel. +49 2461 61-96808 Mobile +49 170 2352748 Fax +49 2461 61-9460 Computational Neuroanatomy Institute of Zoology University of Cologne Cologne, Germany Tel. +49-221-470-3829 Fax +49-221-470-4889 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellv. Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoc/Research Fellow Position in Electrophysiology/Bionics
by Yan Wong Aug. 4, 2025

Aug. 4, 2025

Dear colleagues, I’m seeking a postdoctoral research fellow to join my research group at Monash University, Melbourne Australia. The postdoc will be working on a project examining different stimulation techniques for a cortical vision prosthesis. Electrophysiology and computational skills are highly desirable for the role.. https://careers.pageuppeople.com/513/cw/en/job/681737/research-fellow-neuro… Regards, Yan Tat Wong Professor and Head Electrical and Computer Systems Engineering Department of Electrical and Computer Systems Engineering Monash University www.monash.edu/neurobionics T: +61 3 9905 1935

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Remote Machine Learning Engineer/AI researcher position at Tether Evo on NeuroAI
by Matteo Ferrante July 31, 2025

July 31, 2025

We are looking for a *Machine Learning Engineer* to join our team at the forefront of *open research in NeuroAI*. Our work explores the intersection of artificial intelligence and brain-computer interfaces (BCIs), using both invasive and non-invasive neural recordings. As part of Tether Evo, you will contribute to high-impact, open-source projects focused on *encoding* and *decoding brain activity* leveraging AI. Our mission is to advance scientific understanding while building real-world applications for neural interfaces, guided by transparency, accessibility, and collaboration. *Highlights:* - Work on cutting-edge NeuroAI research, with a focus on open access science, reproducibility and the aim of advancing our comprehension of the brain. You will do research on brain representations of external world such as language, imagery, vision and motor control, and how to encode or decode them to build the next generation of BCI systems. - Collaborate with leading institutions, including *BlackRock Neurotech* and top *academic partners* - Competitive compensation and a fully *remote* working environment - Opportunities to publish, contribute to open-source tools, attend conferences and shape the future of brain-tech innovation *What We’re Looking For:* - 3+ years of experience in ML research or industry, PhD in Physics, Computer Science, Neuroscience or related quantitative fields are highly evaluated. - Strong proficiency in Python and PyTorch - Background in Artificial Intelligence, representation learning and generative models such as LLMs and diffusion models. - Bonus: research experience with neural data such as fMRI, EEG, MEG, ECoG - Excellent scientific communication and collaboration skills, publications in top-tier scientific journals or AI/neuroscience conferences are welcome. If you’re passionate about advancing neuroscience and AI through open, ethical, and impactful research, we’d love to hear from you. Position is fully remote and applications are welcome from all over the world. If interested, please have an initial contact with me at matteo.ferrante(a)tether.io sending a CV and a short presentation letter with *Machine Learning Engineer application as mail subject.* If there is a strong match, the candidate will be welcome to start with the hiring and selection process. Matteo Ferrante Team Lead of Tether Evo - BCI

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Funded PhD Position - Using cognitive computational models to improve human-robot collaboration
by Milan Andrejevic July 29, 2025

July 29, 2025

Psychology Discipline and Robotics Institute at the University of Technology Sydney in Australia are offering a fully funded PhD position for interdisciplinary research into using computational models to improve human-robot collaboration. Project description Collaboration between humans and robots is rapidly increasing, creating a need for integrative work between engineering and psychology to improve robots' collaborative skills. One promising approach is to equip robots with cutting-edge cognitive computational models of their human collaborators' decision-making processes. These models would enable robots to account for latent factors guiding human decisions (e.g., beliefs, inferences, preferences, risk, confidence, caution), during collaborative tasks. This could enhance the efficiency of robots' observational learning and allow them to take actions that support and optimise human decision-making, ultimately improving teamwork and productivity. The project will be supervised by Dr Milan Andrejevic, a Lecturer in Psychology, and Dikai Liu, a Distinguished Professor in Robotics from the University of Technology Sydney, and entail a collaboration with Prof. Jakob Hohwy, a Professor in Philosophy from Monash University. Candidate requirements: * Honours or Masters degree in: Psychology, Cognitive Science, Neuroscience, and a good grasp of statistics OR Engineering, Computer Science OR other related and relevant discipline and a strong interest in psychological science; * Willingness to learn computational cognitive modelling approaches; * Excellent academic writing skills; * Experience with, and/or willingness to learn coding and using statistical software (R, Matlab, Python, and/or alike); * Demonstrated work ethic. Also desirable: * A record of contributing to academic publications; * Experience with mathematical / computational modelling If you would like to apply for this project, please send your CV and Research Proposal to Milan Andrejevic and Dikai Liu. Links: PhD position description<https://sites.google.com/uts.edu.au/coghumrobophdadvert/project-description…> University of Technology Sydney<https://www.uts.edu.au/> Psychology Discipline<https://www.uts.edu.au/about/faculties/graduate-school-of-health/clinical-p…> Robotics Institute<https://www.uts.edu.au/research/robotics-institute> Dr. Milan Andrejevic<https://profiles.uts.edu.au/Milan.Andrejevic> Dist. Prof. Dikai Liu<https://profiles.uts.edu.au/Dikai.Liu> - Dr. Milan Andrejević (he/him) Lecturer Psychology | Graduate School of Health University of Technology Sydney +61 2 9514 4126 Level 10, 100 Broadway, Chippendale NSW 2008 I choose to work flexibly and send emails outside regular office hours as it suits me. I do not expect that you will read my emails outside your regular hours. I acknowledge the Gadigal People of the Eora Nation upon whose ancestral lands we work and gather at UTS, and their traditional custodianship over knowledge for this land. I pay my respects to their Elders past and present. UTS CRICOS Provider Code: 00099F DISCLAIMER: This email message and any accompanying attachments may contain confidential information. If you are not the intended recipient, do not read, use, disseminate, distribute or copy this message or attachments. If you have received this message in error, please notify the sender immediately and delete this message. Any views expressed in this message are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of the University of Technology Sydney. Before opening any attachments, please check them for viruses and defects. Think. Green. Do. Please consider the environment before printing this email.

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Postdoctoral position in Theoretical Biophysics ( Deadline Sept 15th )
by Ahmed El Hady July 29, 2025

July 29, 2025

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in preferably in physics but other quantitative backgrounds will be considered. The candidate should show enthusiasm for tackling theoretical foundations of biological phenomena and creativity to address difficult research questions. The researcher will be based in the Integrative Biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The Integrative Biophysics group <https://www.exc.uni-konstanz.de/collective-behaviour/about-us/people/integr…> at the CASCB led by Dr. Ahmed El Hady. The group focuses on a diverse set of theoretical biophysics problems. The PostDoc project can potentially address the following: 1. How can one couple spatial movement dynamics to temporal decision-making process in an analytically tractable model, accounting for environments with different statistical structures? 2. Can social learning in a foraging context be regarded as a statistical learning process? 3. What are the effects of extracellular matrix characteristics and membrane biophysical properties on electromechanical wave propagation in neurons? 4. What are the collective neuronal modes one can derive from coupling electrically driven mechanical waves in single neurons? *Relevant Publications:* Blum Moyse, L., & El Hady, A. (2024). Social patch foraging theory in an egalitarian group. https://doi.org/10.1103/mqxr-1nyv Kilpatrick, Z. P., Davidson, J. D., & El Hady, A. E. (2020). Normative theory of patch foraging decisions. https://doi.org/10.1101/2020.04.22.055558. El Hady, A., Machta, B. Mechanical surface waves accompany action potential propagation. Nat Commun 6, 6697 (2015). https://www.nature.com/articles/ncomms7697 The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/01/2026 and deadline for application is 15/10/2025. For more information and application , please visit the website: https://stellen.uni-konstanz.de/jobposting/81733e4ecac1d2fc0a665bdc65478a78… For questions about the position , please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de or ahady(a)ab.mpg.de All the best regards, Ahmed El Hady Dr. Ahmed El Hady Research group leader Cluster for Advanced Study of Collective Behavior University of Konstanz/Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907

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available PhD position in the application of machine learning in cognitive and neurosciences
by Shahidi, Neda July 27, 2025

July 27, 2025

Dear colleagues, I have a new PhD position in my group. We seek candidates who are interested in studying the application of machine learning tools in cognitive and neurosciences. we seek to address key gaps in our understanding of the role of gaze-based communication in value-based decision-making in primates, specifically rhesus macaques, red-fronted Lemurs, and humans, using naturalistic, interactive scenarios. The goal is to understand how primates attribute perception to others do, based on their gazes and postures. Our approach to dealing with complex brain and behavior data from these scenarios is to use state-of-the-art machine learning tools to extract interpretable latent dynamics. The research work will be conducted at the German Primate Center; enrollment is possible in one of the PhD programs at the University of Göttingen (see www.gauss.uni-goettingen.de<http://www.gauss.uni-goettingen.de>). The project is highly collaborative and will benefit from working with experts in computer and data sciences, behavioral ecology, and psychology in Göttingen and across Germany. The position will be funded for 3 years from DFG (pending final approval). The salary is in accordance with the German public service salary scale (65 % E13 TV-L) Applicants are required to have § Master's Degree in data sciences, neurosciences, engineering, biomedical sciences, physics, or related fields. § Very good English skills, including scientific writing § Advanced data analysis skills using Python § Basic knowledge of animal cognition Please submit your written application under the keyword "ECG PhD position" with a CV and a motivation letter (less than 300 words) addressin a) how pursuing a PhD on the topic of animal cognition will benefit your career? and b) which skills and knowledge, specifically from applications of machine learning to real-world and experimental data, will you bring to advance this project? Send your application by August 30th, 2025, to bewerbung(a)dpz.eu<mailto:bewerbung@dpz.eu> We welcome diversity and therefore welcome applications from qualified people, regardless of their ethnic, cultural and social background, gender, religion, ideology, disability, age or sexual identity. Registered disabled applicants with equal aptitude and qualifications will be given preferential consideration. We kindly ask you to indicate a disability in your application. Best Regards Neda

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Two funded Ph.D. Positions at the University of South Carolina
by Christian O'Reilly July 25, 2025

July 25, 2025

The Laboratory for Integrative Neuroscience Analyses (LINA) at the University of South Carolina is seeking to fill two open Ph.D. positions. These positions will be fully funded for four years by a Graduate Research Assistantship (GRA) on an NSF project titled “Multiscale Model-Driven Analysis of the Brain and its Disorders”. The preferred starting date is on January 5h, 2026. If interested, please read the full description of the position and instructions on how to apply here: https://tinyurl.com/5n7uhwry Christian O'Reilly, Ph.D., M.Sc., B.Ing. Assistant Professor, Department of Computer Science and Engineering Laboratory for Integrative Neuroscience Analysis Artificial Intelligence Institute Carolina Autism and Neurodevelopment Research Center Institute for Mind and Brain

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Call for Abstracts: SMILES 2025 Workshop @ICDL (Prague, Sept 16)
by Xavier Hinaut July 23, 2025

July 23, 2025

Dear colleagues, We are pleased to announce the SMILES 2025 Workshop (Sensorimotor Interaction, Language and Embodiment of Symbols), which will take place on Tuesday, September 16, 2025, as part of the ICDL 2025 Conference in Prague, Czech Republic. Workshop website: https://sites.google.com/view/smiles-workshop/ ICDL 2025 conference site: https://icdl2025.fel.cvut.cz/ 📢 Call for Abstracts We invite contributions exploring the connection between sensorimotor interaction, symbolic communication, and language emergence. Interdisciplinary approaches are welcome. Deadline: August 31, 2025 Length: ½ page to 2 pages Format: IEEE conference template https://www.ieee.org/conferences/publishing/templates.html Submission email: smiles.conf(a)gmail.com Please indicate if you plan to present onsite or remotely. 🧠 Workshop Focus SMILES addresses the gap between low-level sensorimotor interaction and high-level symbolic communication, bringing together researchers working on: Sensorimotor learning and developmental robotics Emergent communication in multi-agent systems Gesture and sequence chunking (motor, vocal, multimodal) Symbol grounding and symbol emergence Compositional and hierarchical representations for action and language Language acquisition and processing in humans and machines Temporal dynamics in neural network models Enaction, perception-action loops, and active sensing Animal communication and comparative models Organizers: Xavier Hinaut, Laura Cohen, Alex Pitti Contact: smiles.conf(a)gmail.com Invited speakers: To be announced soon Workshop date: September 16, 2025, 2:00 PM – 6:00 PM Location: Prague, Czech Republic We look forward to your contributions! Best regards, The SMILES 2025 Organizing Committee Xavier Hinaut Inria Research Scientist — News! —> Next Hackathon on AI, Robots and CogSci: « Hack1robo », October 2025, Bordeaux, France Register on mailing-list, linked-in or instagram to stay tuned! https://sites.google.com/view/hack1robo/accueil https://www.instagram.com/hack1robo/ — www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- — Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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[JOBS] Post-doc "ML/AI-based intelligent process monitoring" at the University of Groningen, NL - deadline Sept 15, 2025
by Kerstin Bunte July 23, 2025

July 23, 2025

Fully funded Postdoctoral researcher position for ML/AI-based intelligent process monitoring https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Closing date = 15-09-2025 We offer a postdoctoral researcher position in cooperation with Philips and the University of Groningen, The Netherlands. The position is funded by the PPS-I Flex High Tech project “ManufActuring contRol Sonicare (MARS)“. Due to the complexity of the assembly process anomalies can occur, that lead to unplanned downtime and sub-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more insight into possible sources of variation, facilitating more proactive quality control. The successful applicant has: - a PhD degree in computer science, applied mathematics, engineering or other relevant fields. - a keen interest in at least one of the following topics: machine learning, dynamic systems, applied mathematics (system identification and/or structural identifiability), Bayesian methods - proficiency in English (knowledge of the Dutch language is not required). Supervisors: Prof. Kerstin Bunte and Prof. Jan Post Deadline: 15 September 2025 Start Date: 1 Jan 2026 ✅ Either full-time (1.0FTE) for 21 months, or 0.88FTE for 24 months under Dutch university agreement ✅ Gross salary: €4,060 ✅ Focus: Expert informed ML + AI modelling for advanced production process monitoring ✅ Strong interdisciplinary team: Engineering, AI, and ML ✅ Involvement with APE & Intelligent Systems groups ✅ International students welcome (English proficiency required) 💡 This is a great opportunity to work on advanced machine learning with real industrial relevance (anomaly detection, process monitoring, optimization, and more). More information can be found at: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… About the University of Groningen Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 34,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and the top 100 universities in the world, the University of Groningen is truly an international place of knowledge. -- Kerstin Bunte, Professor of Machine Learning for interdisciplinary data science Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence Faculty of Science and Engineering University of Groningen Bernoulliborg, Nijenborgh 9, 9747 AG Groningen The Netherlands Email: k.bunte(a)rug.nl web: http://www.cs.rug.nl/~kbunte/

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CfPs for Brain Informatics 2025 [Final Extension]
by angela.lombardi＠poliba.it July 23, 2025

July 23, 2025

We apologize if you have received multiple copies ------------------------------------------------- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 18th International Conference on Brain Informatics (BI'25) November 11-13, 2025 | Bari, Italy The key theme: Brain Science meets Artificial Intelligence A hybrid conference with both online and offline modes History of BI: https://youtu.be/kgYWk88DI3w Conference homepage: https://wi-consortium.org/conferences/bi2025/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Important Dates: * 20 August 2025: Full Paper Submission Deadline * 20 August 2025: Abstract Presentation Submission Deadline Keynotes: * Professor Giorgio A. Ascoli George Mason University, USA Title: From Neuron Classification to Spiking Neural Network Simulations: A Neuroinformatics Approach to Data-Driven Computational Models * Prof. Morten L Kringelbach University of Oxford, UK and Aarhus University, Denmark Title: Whole-brain Modelling: Cartography of Eudaimonia and Flourishing In he Human Brain * Dr. Giulio Pergola The University of Bari Aldo Moro, Italy Title: The Human Brain Wasn’t Built in a Day: The Building Blocks of Psychiatric Risk Trajectories * Professor Islem Rekik Brain And SIgnal Research and Analysis (BASIRA) Laboratory, London, UK Title: Brains and AI: A Two-Way Journey Sponsored By: IEEE Computer Society Technical Committee on Intelligent Informatics (TCII: https://www.computer.org/communities/technical-committees/tcii) Web Intelligence Consortium (WIC: https://wi-consortium.org/) Polytechnic University of Bari, Italy (PUB: http://www.en.poliba.it/) Springer Nature ***Accepted Workshops and Special Sessions*** WS01: Brain Informatics 2025 Workshop on Web Intelligence meets Brain Informatics WS02: Towards Predictive Precision: Multimodal Prediction Models using Diverse Biomarkers for Early Detection of Neurocognitive Disorders WS03: The International Workshop on Generative AI Empowers Brain Signal Processing (GAIEBSP 2025) WS04: The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2025) WS05: The International Workshop on Neural Data Analysis for Brain-Computer Interfaces and Brain Disorders WS06: The International Workshop on Brain Information Mechanisms in Special Populations WS07: The International Workshop on Cutting Edge Technologies for Human-Computer Interaction WS08: The International Workshop on Brain Network Dynamics Using the LEiDA Algorithm WS09: The International Workshop on Affective and Cognitive Sensing for Intelligent Human-centered Systems (ACSIHS) WS10: The 4th International Workshop on Computational Brain Image Analysis and Genomics (CBIAG) WS11: The International Workshop on Network Estimation via Source Separation (NESS) WS12: The 4th International Workshop on Computational Neuroaesthetics (WCN 2025) WS13: The 7th International Workshop on Cognitive Neuroscience of Thinking and Reasoning (CNTR 2025) WS14: The Workshop on Neuro-AI Synergy: Multimodal Approaches to study Brain Connectivity in Neurological Diseases SS01: The 5th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2025) SS02: The Special Session on Spatio-Temporal Brain Data Modelling: New Approaches to Understanding Brain Dynamics SS03: The Special Session on Advancing Affective-Cognitive Integration(ACI) in Foundation Models SS04: Special Session on Multi-modal Foundation Models and Large Language Models for Neuroscience and Neurological Disorders ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communications Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 18th International Conference on Brain Informatics (BI'25) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'25 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High-quality BI conference papers may be nominated to submit an extended version for a fast-track review and publication at the Brain Informatics Journal (ESCI, IF=4.5, https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. *** Paper Submission and Publications *** 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format (https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged 100€ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series (https://link.springer.com/conference/brain) Abstract Submission (Only for Workshops/Special Sessions): Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Tutorials, Workshop & Special Sessions *** Proposal Submissions (https://wi-lab.com/cyberchair/2025/bi25/scripts/submit.php?subarea=ProW) BI'25 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 20 August 2025: Full Paper Submission Deadline * 20 August 2025: Abstract Presentation Submission Deadline * 1 October 2025: Final Paper and Abstract Acceptance Notification * 11 October 2025: Accepted Paper and Abstract Registration Deadline * 11 October 2025: Camera-Ready and Copyright Submission Deadline * 11 Nov 2025: Workshops and Special Sessions * 12-13 Nov 2025: The Brain Informatics Conference Organizing Committee ++++++++++++++++++ General Chairs Angela Lombardi (Polytechnic University of Bari, Italy) Elvira Brattico (University of Bari, Italy & Aarhus University, Denmark) Program Committee Chairs Carmelo Ardito (Polytechnic University of Bari, Italy) Hasan Ayaz (Drexel University, USA) Sirawaj Itthipuripat (King Mongkut's University of Technology Thonburi, Thailand) Shuqiang Wang (Shenzhen Institute of Advanced Technology, CAS, China) Local Organization Chairs Tommaso Colafiglio (Polytechnic University of Bari, Italy) Giulio Carraturo (University of Bari, Italy) Danilo Danese (Polytechnic University of Bari, Italy) Giuseppe Fasano (Polytechnic University of Bari, Italy) Mariangela Lippolis (University of Bari, Italy) Benedetta Mattarelli (University of Bari, Italy) Paolo Sorino (Polytechnic University of Bari, Italy) Workshop/Special Session Chairs Vito Walter Anelli (Polytechnic University of Bari, Italy) Xiaofu He (Columbia University, USA) Xinwei Li (Chongqing University of Posts and Telecommunications, China) Paolo Taurisano (University of Bari, Italy) Publicity Chairs Antonio Ferrara (Polytechnic University of Bari, Italy) Hongzhi Kuai (Maebashi Institute of Technology, Japan) Jing Meng (Chongqing Normal University, China) Tutorial Chairs Sebastiano Stramaglia (University of Bari, Italy) Paola Galdi (University of Edinburgh, UK) Poster Session Chairs Domenico Lofù (Polytechnic University of Bari, Italy) Tiziana Lanciano (University of Bari, Italy) Publication Chair Hongzhi Kuai (Maebashi Institute of Technology, Japan) Advisory Board Chair: Ning Zhong (Maebashi Institute of Technology, Japan) Guoming Luan, Sanbo Brain Hospital, China Mufti Mahmud, Nottingham Trent University, UK Nikola Kasabov, Auckland University of Technology, New Zealand Hanchuan Peng, SEU-Allen Institute for Brain & Intelligence, China Hesheng Liu, MGH, Harvard Medical School, USA Shinsuke Shimojo, California Institute of Technology, USA Stefano Panzeri, University Medical Center Hamburg-Eppendorf, Germany Tianzi Jiang, Institute of Automation, CAS, China Tommaso Di Noia, Polytechnic University of Bari, Italy

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[Meetings] [CFP] Call for Submissions: NeuroDesign in HRI Student EXPO & Competition @ IEEE RO-MAN 2025
by NeuroDesign in HRI July 22, 2025

July 22, 2025

[Meetings] [CFP] Call for Submissions: NeuroDesign in HRI Student EXPO & Competition @ IEEE RO-MAN 2025 =============================== 📣 Call for Submission =============================== NeuroDesign in HRI Student EXPO & Competition (50% Chance of Winning Opportunity) The 3rd Workshop on NeuroDesign in Human-Robot Interaction: The making of engaging HRI technology your brain can’t resist IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2025 https://www.ro-man2025.org/) 📍Eindhoven, Netherlands 🗓 August 25, 2025 🔗 <https://neurodesign-in-hri.webflow.io/>Workshop Website: https://neurodesign-in-hri.webflow.io/ 🔗 Submission Form <https://forms.gle/fQMxJtkXb8JEU2WR6> https://forms.gle/fQMxJtkXb8JEU2WR6 🚀 What Is NeuroDesign in HRI? NeuroDesign is an emerging framework that blends principles from neuroscience, cognitive and behavioral psychology, human-centered interactive design, and artificial intelligence to create human-robot interactions that are not only functional—but emotionally resonant, intuitively aligned, and cognitively engaging. It pushes beyond usability into neuro-resonance—where robots dynamically respond to and adapt with human intent, attention, affect, and behavior in real time. Whether through brain-computer interfaces, wearable robotics, soft haptics, or embodied AI, NeuroDesign seeks to answer: How can we design HRI systems that feel natural to the brain, meaningful to the user, and effective in the real world? ------------------------------ 💡 About the Student EXPO & Competition Dear Colleagues, are you working on a human-interactive robot, wearable device, or neuro-inspired interface? Do you have a prototype, early-stage system, or insightful study that reimagines the way humans and machines connect? Join us for the NeuroDesign in HRI Student EXPO & Competition, held in conjunction with the NeuroDesign in Human-Robot Interaction Workshop at IEEE RO-MAN 2025 conference in Eindhoven, Netherlands. This unique event invites students (BSc, MSc, PhD) to showcase their visionary projects and receive live, cross-disciplinary feedback from a distinguished panel of experts in: - Human-Robot Interaction - Brain-Computer Interfaces (BCI) - Cognitive Neuroscience & Psychology - Wearable and Soft Robotics - Design & Arts - AI and Startups Together, we’ll explore how to evolve promising ideas into truly neuroadaptive, socially impactful technologies. ------------------------------ 🧠 Suggested Submission Topics We welcome submissions across a wide spectrum of human-robot interaction, including (but not limited to): - Affective & Social Robotics - Brain-Machine / Brain-Computer Interfaces (BCI) - Wearable & Assistive Robots - Exoskeletons & Rehabilitation Systems - Human-AI Co-adaptation - Embodied AI / Large Language Models for HRI - VR/AR, XR, & Metaverse-based Interaction - Haptics, Teleoperation & Sensory Feedback - Cognitive & Physical Human-Robot Interaction (cHRI/pHRI) - Neuroergonomics & Human Factors - Soft Robotics & Bionic Systems - Smart Environments & Pervasive Computing (IoT, Smart Homes) - Multimodal Interfaces: Gesture, Speech, Emotion Recognition - RoboEthics, Inclusion & DEI in HRI - RoboFashion, Adaptive Wearables & Robot Skins - Supernumerary Limbs, Human 2.0, & Intelligence Augmentation - Anything that Connects Minds, Bodies, and Robots ------------------------------ 📥 Submission Formats Choose one (or any combination) of the following submission styles: 1. Video Abstract: A 100-word summary + 1–2 minute video overview (A concise 100-word abstract and a 1-2 minute video, offering a brief yet engaging overview.) 2. Slide Deck: A 100-word summary + 5 informative slides (A 100-word abstract accompanied by 5 detailed slides for a short but thorough presentation.) 3. Extended Abstract: A 2-page write-up (IEEE RAS format) (for a more in-depth submission) 🔗 IEEE Template: https://ras.papercept.net/conferences/support/word.php <https://ras.papercept.net/conferences/support/word.php> 4. Participants are welcome to submit using any one or any combination of the above formats. ------------------------------ 🎤 Finalists & Presentation Format Our selection process is on a “rolling basis”, and we aim to choose 10 projects for the final on-stage pitch presentation. We especially encourage those who have already submitted their work as posters or papers to RO-MAN 2025 or have publications elsewhere to participate in our event. This competition offers a fantastic opportunity to increase the visibility of your research globally. - 10 projects will be selected for on-stage 5-minute pitch presentations. - Finalists may join in person, via Zoom, or submit a pre-recorded presentation. - All submissions (accepted or not) will be offered poster/demo space at our venue. - We will print and exhibit posters for virtual participants. ------------------------------ 🖼️💻 Exhibition and Virtual Participation All submitted projects will receive a dedicated booth for poster and prototype demonstrations. For participants unable to travel to RO-MAN 2025, we will print your posters and display them on the bulletin boards at our venue. The event is designed to be "Hybrid" to ensure that everyone has the opportunity to participate, regardless of their ability to travel to RO-MAN (@ the Netherlands). A Zoom link will be provided for your virtual participation. ------------------------------ 🏆 Awards & Recognition (5 out of 10 Finalists Will Receive an Award!) We are thrilled to offer two award categories: 🧠 Best Innovation in HRI NeuroDesign Award - 3 top projects selected by our expert panel based on originality, NeuroDesign alignment, and real-world potential. - Prizes: - 🥇 1st Prize: $250 - 🥈 2nd Prize: $150 - 🏅 3rd Prize: Certificate of Excellence ❤️ Most Popular Project in NeuroDesign Award - 2 projects voted by workshop attendees and online audience for charm, creativity, and engagement. - Prizes: - [image: 🏆] 1st Prize: Full submission fee waiver to Frontiers in Robotics and AI - 🥈 2nd Prize: Mysterious Runner-up Prize All winners will receive official certificates and feature opportunities on our website and post-workshop publications. ------------------------------ 📅 Key Dates - Submission Deadline: August 3, 2025 (Please note that our selection process is rolling, so early submissions are encouraged) - Finalist Notification: August 5, 2025 - Competition Day: August 25, 2025 ------------------------------ 🔗 Submit Your Entry Now 👉 Submission Form: https://forms.gle/fQMxJtkXb8JEU2WR6 <https://forms.gle/fQMxJtkXb8JEU2WR6> 📨 For any questions, feel free to reach out via our website submission form, or email us to: neurodesign.hri(a)gmail.com ------------------------------ Let’s shape the future of human-robot interaction—by design, for the brain. Best regards, The Organizing Committee NeuroDesign in Human-Robot Interaction @ RO-MAN 2025 https://neurodesign-in-hri.webflow.io/

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The Best Illusions of 2024 and Launch of the 2025 Best Illusion of the Year Contest!
by smart＠neuralcorrelate.com July 20, 2025

July 20, 2025

Dear Illusion Enthusiasts, Voters around the globe chose the Best Illusions of the Year from the Top 10 Finalists competing in the 2024 edition of <https://illusionoftheyear.us12.list-manage.com/track/click?u=31742f75c7d963 97d9dee170b&id=318af74924&e=7e260e6cae> Best Illusion of the Year Contest (hosted by the Neural Correlate Society and sponsored by the Museum of Illusions <https://www.museumofillusions.com/> ). The TOP 3 winning illusions were revealed on Wednesday, July 2nd. First Prize and a $3,000 award went to "The Static Spin" by Saleeta Qadir and Bernhard Egger, Germany. Second Prize and a $2,000 award went to "Dollusion" by Duška Milosavljević, Serbia. Third Prize and a $1,000 award went to "Tri-form Prism" by Hiroaki Hamanaka, Ryohei Miki, Kyota Yamamoto, Japan. If you enjoyed the spectacular illusions that competed in 2024, please consider making a tax-deductible donation <https://www.paypal.com/webapps/shoppingcart?flowlogging_id=d2461f180023b&mf id=1607894519576_d2461f180023b#/checkout/openButton> to the Best Illusion of the year Contest. We rely on your generous help to continue to share the wonders of illusion with people of all ages and backgrounds, all over the world. We are now accepting submissions for the 2025 edition of the Best Illusion of the Year Contest! We invite you to submit your mind-bending illusions through September 20, 2025. Don't miss the opportunity to be part of next year's top illusions and compete for international recognition and cash prizes. Contestants are invited to submit 1-minute YouTube videos featuring novel illusions (unpublished or published no earlier than 2024) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. Novel variants of known illusions are welcome. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * A video of yourself describing your illusion * A video animation/theatrical performance of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. The Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the Year Contest does not preclude you from also presenting or submitting your work for publication elsewhere. By participating in the Best Illusion of the Year Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2025 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( <mailto:smart@neuralcorrelate.com> smart(a)neuralcorrelate.com) until September 20th, 2025. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion <x-msg://2/championsofillusionbook.com> and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart(a)neuralcorrelate.com <mailto:smart@neuralcorrelate.com> Phone: +1 718-270-4520 <tel:%2B1%20718-270-4520> http://smc.neuralcorrelate.com

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

July 16, 2025

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

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[Newsletter RTAIM] 20th RTAIM Seminar | Workshop Mind and Cognition (w/ C. Craver, E. Jablonka, D. Walsh and H. Desmond) | 4th Inter. Conf. Ethics of AI (Attendance Registration) | Call for Papers (JAIC)
by steven gouveia July 15, 2025

July 15, 2025

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

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

July 15, 2025

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

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JNS 2025 Satellite Symposium: Connecting Digital Brains Across the World: July 23, 2025, Niigata & Online
by Kenji Doya July 14, 2025

July 14, 2025

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

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

July 14, 2025

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

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

July 14, 2025

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

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

July 11, 2025

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

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

July 10, 2025

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

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

July 6, 2025

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

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

July 4, 2025

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

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

July 3, 2025

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

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

July 2, 2025

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BabyBench Competition Announcement
by Jochen Triesch July 2, 2025

July 2, 2025

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

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

July 2, 2025

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

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

July 1, 2025

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

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

July 1, 2025

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

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

July 1, 2025

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

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

June 30, 2025

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

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

June 30, 2025

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

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

June 28, 2025

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

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

June 27, 2025

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

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

June 27, 2025

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

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

June 27, 2025

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

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

June 27, 2025

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

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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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Fwd: Deadline approaching: PhD student using machine learning to understand high-dimensional visual category learning
by Leni Wei June 24, 2025

June 24, 2025

> Begin forwarded message: > > From: "Caspar M. Schwiedrzik" <Caspar.Schwiedrzik(a)ruhr-uni-bochum.de> > Subject: Deadline approaching: PhD student using machine learning to understand high-dimensional visual category learning > Date: 23 June 2025 at 16:23:18 CEST > To: comp-neuro(a)lists.cnsorg.org, announcements(a)lists.cognitivesciencesociety.org > > We are looking for a highly motivated PhD student using machine learning to understand high-dimensional visual category learning. > > The Department of Cognitive Neurobiology of Caspar Schwiedrzik at > Ruhr-University Bochum is looking for an outstanding PhD student with > expertise in computational cognitive neuroscience and/or deep learning > to join our team to the neural basis of mental flexibility. The > project investigates neural mechanisms of high-dimensional visual > category learning, utilizing computational approaches as well as > neuroimaging and neurophysiology in humans and macaque monkeys, > respectively. It is funded by an ERC Consolidator Grant (Acronym > DimLearn; “Flexible Dimensionality of Representational Spaces in > Category Learning”). The PhD student’s project will focus on > developing deep learning “digital twin” models based on neural and/or > behavioral data to investigate flexible multi-task learning. > > The lab seeks to understand the cortical basis and computational > principles of perception and experience-dependent plasticity in the > brain. To this end, we use a multimodal approach including fMRI-guided > electrophysiological recordings in rodents and non-human primates, and > fMRI and iEEG in humans. See https://doi.org/10.1016/j.cub.2023.01.011 > and https://doi.org/10.1038/s41467-024-51543-y for recent examples of > our work. The PhD student will play a key role in our research efforts > in this area. The lab is located at Ruhr-University Bochum > (https://www.rub.de) and the German Primate Center > (http://www.dpz.eu) At both locations, the lab is embedded into > interdisciplinary research centers with international faculty and > students pursuing cutting-edge research in cognitive and computational > neuroscience. The PhD student will have access to dedicated computing > infrastructure, including high performance computing clusters. The > project will be conducted in close collaboration with the labs of > Fabian Sinz (https://sinzlab.org) Alexander Gail > (https://www.dpz.eu/sensomotorik) and Igor Kagan > (http://igorkagan.org) The main site for this part of the project > will be Bochum. Ruhr-University Bochum provides a vibrant and > stimulating neuroscience community with a strong community in > computational as well as experimental neurosciences. The PhD student > will have the opportunity to join the International Graduate School > for Neuroscience (https://www.ruhr-uni-bochum.de/igsn/index.html) or > the International Graduate School of Biosciences > (https://www.biologie.ruhr-uni-bochum.de/biodek/promotion/index.html.en) > > Please find the official job ad and further information here: > https://jobs.ruhr-uni-bochum.de/jobposting/318eb740a64696cad9cbeb78dfa84802… > > -- > Prof. Dr. Caspar M. Schwiedrzik > > Abteilung Kognitive Neurobiologie > Research Center One Health Ruhr > University Alliance Ruhr > Fakultät für Biologie und Biotechnologie > Ruhr-Universität Bochum > > NDEF 05/348, Fach 59 > Universitätsstraße 150 > 44801 Bochum > > Telefon +49 234 32 15220 > > caspar.schwiedrzik(a)rub.de > www.rub.de/

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SiNAPSA Neuroscience Conference '25 (17.-19. Sept, Ljubljana) - abstract submission deadline approaching
by Nina Omejc June 24, 2025

June 24, 2025

Dear colleagues, We are delighted to invite you to the Sinapsa Neuroscience Conference ’25 <https://www.sinapsa.org/SNC25>, which will take place from 17 to 19 September 2025 at the Faculty of Medicine, University of Ljubljana, Slovenia. The conference programme <https://www.sinapsa.org/snc25/media/schedule/Schedule-SNC25_v20250610.pdf> includes plenary lectures, thematic symposia, poster presentations, an educational workshop, and a public consultation. The program will offer a comprehensive insight into neuroscience with diverse topics ranging from molecular and cellular mechanisms to systemic, clinical, and cognitive neuroscience. The deadline for abstract submission <https://www.sinapsa.org/SNC25/call-for-abstracts> is 30 June 2025. For more information, please visit the conference website at www.sinapsa.org/snc25 <http://www.sinapsa.org/snc25>. Hope to see you in Ljubljana in September! SiNAPSA Neuroscience Conference ’25 Organizing committee www.sinapsa.org/snc25 <http://www.sinapsa.org/snc25>

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CNS*2025 Workshop "Enabling synaptic plasticity, structural plasticity, and multi-scale modeling with morphologically detailed neurons using Arbor"
by Jannik Luboeinski June 23, 2025

June 23, 2025

Dear Colleagues, * * we are pleased to announce the workshop "*Enabling synaptic plasticity, structural plasticity, and multi-scale modeling with morphologically detailed neurons using Arbor*", which will take place at *CNS*2025* on *Wednesday, 9 July*, in Florence, Italy. Current computational neuroscience studies are often limited to a single scale or simulator, with many still relying on standalone simulation code due to computational power and technology constraints. Simulations incorporating biophysical properties and neural morphology typically focus on single neurons or small networks, while large-scale neural network simulations often resort to point neurons as a compromise to incorporate plasticity and cell diversity. Whole-brain simulations, on the other hand, frequently sacrifice details at the individual neuron and network composition levels. This workshop introduces recent advances leveraging the next-generation simulator Arbor (https://arbor-sim.org/) designed to overcome these challenges. Arbor enables seamless conversion from the widely used NEURON simulator, facilitates the study of functional and structural plasticity in large neural networks with detailed morphology, and supports multi-scale modeling through co-simulation, integrating microscopic and macroscopic levels of simulation. Arbor is a library optimized for efficient, scalable neural simulations by utilizing both GPU and CPU resources. It supports the simulation of both individual neurons and large-scale networks while maintaining detailed biophysical properties and morphological complexity. The workshop will feature presentations covering three key aspects: * *Effortless transition from NEURON to Arbor:* Beatriz Herrera will introduce the SONATA format, which simplifies the migration process and enables cross-simulator validation, ensuring a smooth transition to Arbor for researchers familiar with NEURON. * *Plasticity simulations with Arbor:* In two talks, Jannik Luboeinski and Felix Wolf will present Arbor’s capabilities in modeling calcium-based functional plasticity as well as calcium-based distance-dependent structural plasticity, providing insights into synaptic and structural changes. * *Multi-scale co-simulation with TVB:* Thanos Manos will demonstrate Arbor’s co-simulation capabilities with The Virtual Brain (TVB) platform, illustrating the study of epilepsy propagation as an example of multi-scale modeling. The workshop will conclude with an *interactive coding session*, offering participants hands-on experience with Arbor and an opportunity to apply the presented concepts. We look forward to meeting you at the workshop, where we expect fruitful exchange and interesting discussions! Best regards, Thorsten Hater, Han Lu, Jannik Luboeinski

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Full day tutorial on Multiscale Modeling with MOOSE at CNS*2025, July 5, 2025!
by MOOSE Neuro June 23, 2025

June 23, 2025

Dear all, We are pleased to announce a full-day hands-on tutorial on *Multiscale Modeling with MOOSE *at CNS*2025! *Saturday, July 5, 2025, 09:00 - 16:00 CEST, Belvedere room* The objective of this tutorial is to familiarize participants with MOOSE ( https://mooseneuro.github.io/) a comprehensive simulation platform designed for computational modeling in neuroscience and systems biology. In addition to tutorials on biophysical and biochemical models, we shall showcase new features of MOOSE, including *jardesigner, *a new web-based frontend for multiscale modeling. We will illustrate the use of *jardesigner *and MOOSE to build and run spiking neuron models incorporating chemical signaling for neuromodulation and synaptic plasticity on spines. Prerequisites - Some familiarity with basic Python programming and common system commands to run programs from the command-line is expected. - As most of the topics will be hands-on, participants should bring their laptops. - Participants must have a Python environment installed on their laptops. - Participants are encouraged to create a Python environment as described in MOOSE installation instructions: https://github.com/MooseNeuro/moose-core/blob/development/docs/source/insta… *Speakers:* Dr. Subhasis Ray, Prof. Upinder S. Bhalla, Dr. Bhanu Priya S Tentative Schedule 09:00 - 09:40 Multiple Scales in Neuroscience, Upinder S. Bhalla 09:40 - 10:10 Overview of MOOSE, Subhasis Ray 10:10 - 10:40 Coffee Break 10:40 - 11:25 Setting up the software environment, Bhanu Priya S and Subhasis Ray 11:25 - 12:10 Abstract neuron models, Bhanu Priya S 12:10 - 14:00 Lunch Break 14:00 - 14:45 Biophysical neuron model with ion channels, Subhasis Ray 14:45 - 15:30 Modeling biochemical systems, Upinder S. Bhalla 15:30 - 16:00 Coffee Break 16:00 - 17:00 Multiscale modelling and Jardesigner, Upinder S. Bhalla 17:00 - 17:20 Discussion You can save this schedule to your calendar via CNS*2025 Florence: Multiscale modeling with MOOSE <https://cns2025florence.sched.com/event/25kRo/multiscale-modeling-with-moose> We will also present a poster on "*Developments around MOOSE for modeling in Systems Biology and Neuroscience*" on July 8th, 2025. More details can be found here: CNS*2025 Florence: P252: Developments around MOOSE for mode... <https://cns2025florence.sched.com/event/24uTo/p252-developments-around-moos…> Please feel free to share this announcement with anyone who might be interested. Best regards, Parita Mehta Community Manager for MOOSE *On behalf of the MOOSE Team* GitHub: MooseNeuro <https://github.com/MooseNeuro/> Official website: *https://mooseneuro.github.io/ <https://mooseneuro.github.io/> * LinkedIn: *MOOSE Neuro Simulator | LinkedIn <https://www.linkedin.com/in/moose-neuro-simulator-064088315/>* X: *MOOSE Neuro Simulator (@mooseneurosim) / X <https://x.com/mooseneurosim>* Bluesky Social: MOOSE Neuro Simulator <https://bsky.app/profile/moosesim.bsky.social>

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Neurobridge CNS*2025 Satellite Symposium 'Neural Population Dynamics and Latent Representations'
by Eleonora Russo June 23, 2025

June 23, 2025

Dear all, We are pleased to invite you to the NEUROBRIDGE CNS*2025 Satellite Symposium on Neural Population Dynamics and Latent Representations. In recent years, the study of neural population dynamics has gained growing traction in systems and computational neuroscience, offering a principled framework to link single-neuron activity with behaviorally relevant computation. During the symposium, we will discuss recent machine learning and theoretical advances for analyzing population-level activity and explore how emergent network properties can reveal mechanistic principles of cognition and behavior, with translational implications for clinical neuroscience. Confirmed speakers: * Lorenzo Gaetano Amato – Sant'Anna School of Advanced Studies, Pisa, IT * Demian Battaglia – University of Strasbourg, FR * Daniel Durstewitz – Central Institute for Mental Health, Mannheim, DE * Tatiana A. Engel – Princeton University, Princeton, USA * Sean Froudist-Walsh – University of Bristol, Bristol, UK * Matthieu Gilson – Institut des Neurosciences, Marseille, FR * Maurizio Mattia – Istituto Superiore di Sanità, Rome, IT * Leonardo Pollina – EPFL, Lausanne, CH * Sara Solla – Northwestern University, Evanston, USA The full-day symposium will take place on July 10th in the 📍 Aula Magna at the Scuola Superiore Sant’Anna, Piazza Martiri della Libertà 33, Pisa. Registration for the symposium is free of charge, but seats are limited! For more information and to register, please visit: 👉 https://neurobridge-tne.github.io/ The event will also be streamed online; the link will be available on the symposium website. Please feel free to share this announcement with anyone who might be interested. Best regards, The organisers, Eleonora Russo, Jacopo Carpaneto, Alberto Mazzoni, Nicolò Meneghetti, Silvestro Micera, Calogero Maria Oddo, Solaiman Shokur. --------------------------------------------------------------------------------------------------------------------- Eleonora Russo, Ph.D. PI of the Brain Dynamics Laboratory TT Assistant Professor at Sant’Anna School of Advanced Studies, The BioRobotics Institute, P.za Martiri della Liberta', 33 56127 Pisa, Italy

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Associate Professor Position in Australia - Monash University
by Elizabeth Zavitz June 23, 2025

June 23, 2025

Dear colleagues, Please find below an advertisement for an Associate Professor position in the Department of Electrical and Computer Systems Engineering at Monash University, Melbourne, Australia. Monash Careers – Associate Professor <https://careers.pageuppeople.com/513/cw/en/job/678997/associate-professor-e…> In this role, you will play a key part in shaping the next generation of engineers. You’ll engage with students through dynamic teaching, mentor future leaders, and collaborate with passionate colleagues to deliver cutting-edge courses. Your expertise will complement our strengths in control systems, wireless technology, signal processing, robotics and AI—driving real-world solutions in electronics, RF, sensors, energy systems, and computing. You’ll also lead impactful research that addresses global challenges, with the support of a collaborative and inclusive research culture. The application deadline is September 14th, 2025, 11:55 pm AEST. Please feel free to share this opportunity with interested colleagues. For any inquiries, do not hesitate to reach out. Liz -- Elizabeth Zavitz, PhD Electrical and Computer Systems Engineering 233 14 Alliance Lane (Bldg 72) Monash University Clayton, VIC 3800 Australia

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World wide VVTNS series- fifth season closing lecture: Wednesday, June 25, 2025, at 11:00 am EDT| Sebastian Seung , Princeton Neuroscience Institute
by David Hansel June 22, 2025

June 22, 2025

[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 *VTNS Fifth Season Closing Lecture *that will be delivered by Sebastian Seung, Princeton Neuroscience Institute on the topic Insights into vision from interpreting a neuronal wiring diagram The lecture will be held on zoom on Wednesday, June 25, 2025, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *In 2023, the FlyWire Consortium released the neuronal wiring diagram of an adult fly brain. This contains as a corollary the first complete wiring diagram of a visual system, which has been used to identify all 200+ cell types that are intrinsic to the Drosophila optic lobe. About half of these cell types were previously unknown, and less than 20% have ever been recorded by a physiologist. I will argue that plausible functions for many cell types can be guessed by interpreting the wiring diagram. *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

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Advances in Intelligent Systems, Technologies and Applications
by Barna Iantovics June 19, 2025

June 19, 2025

Call for papersSpecial Issue: Advances in Intelligent Systems, Technologies and ApplicationsJournal: Applied Sciences (ISSN 2076-3417) Impact Factor 2.5Submission https://www.mdpi.com/journal/applsci/special_issues/5IQ6DOHB42 Dear Colleague, You are kindly invited to contribute with a paper to the Special Issue. Intelligence in nature is very diverse; it can be discussed in terms of the intelligence of chimps, dolphins, and many other animals and even the collective intelligence of very simple life forms such as ants. The concept of intelligence is being adopted in many domains of science. From practical and theoretical perspectives, an essential current research direction that is under examination by a very large number of scientists worldwide is the development of artificial systems, also called agent-based systems, which can be either individual agents or cooperative multiagent systems. These systems are embedded in the environment, possess a certain degree of autonomy, and are capable of perceiving the environment and executing actions in it. Intelligence in agent-based systems can emerge through advanced problem-solving abilities. To develop these intelligent systems, techniques such as supervised learning and unsupervised learning play pivotal roles. Supervised learning involves training systems on labeled datasets, enabling them to map inputs to outputs and improve their predictions or classifications over time. These methods are extensively used in applications such as image recognition, natural language processing, and medical diagnosis. On the other hand, unsupervised learning enables systems to identify patterns and structures in unlabeled data, facilitating clustering, anomaly detection, and exploratory data analysis. A more recent paradigm, retrieval-augmented generation (RAG) and cache-augmented generation (CAG), combines retrieval- and cache-based methods with generative models to enhance intelligent systems, producing highly contextualized and accurate responses or actions. These approaches are instrumental in developing advanced systems for domains such as conversational AI, knowledge management, and decision support. Intelligent agent-based systems have many real-world applications, including the health sciences and industry. The number and diversity of intelligent systems are increasing rapidly. In this context, the great challenge consists of creating increasingly intelligent systems. Another critical challenge, approached by only a few researchers worldwide, is the development of universal metrics, including black-box-based intelligence metrics, to measure the intelligence of these systems. Such advances could allow for the comparison of systems based on their intelligence. In cooperative multiagent systems, intelligence can be assessed at the system level; this is known as collective intelligence. Even in very simple cooperative multiagent systems, agents may interact nonlinearly at various decision points, resulting in emergent complexity and intelligence at the system level. This Special Issue aims to establish a solid foundation for future research through a collection of papers that advance the field by elaborating on theories, designing applications, and presenting surveys regarding the next generation of increasingly intelligent systems. The areas of research covered in these papers could include the study of self-organization, emergence, hybridization, scalability, robustness, measuring machine intelligence, and the integration of advanced paradigms such as supervised learning, unsupervised learning, retrieval-augmented generation, and cache-augmented generation. Kind regards,Guest EditorsProf. Dr. Laszlo Barna IantovicsProf. Dr. László KovácsDr. Attila Biró

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Special Issue: Computational biomimetics methods in drug design: Theory, Applications, and Future Directions
by Barna Iantovics June 19, 2025

June 19, 2025

Call for papers Special Issue: Computationalbiomimetics methods in drug design: Theory, Applications, and Future DirectionsJournal: Biomimetics(ISSN 2313-7673). Impact Factor 3.9Submission https://www.mdpi.com/journal/applsci/special_issues/5IQ6DOHB42 Dear Colleague, Computational biomimetics (CB) methodsdeveloped in the frame of artificial intelligence (AI) and machine learning(ML) are rapidly evolving technologies that are transforming variousindustries. CB enables machines/systems to exhibit human-like intelligence,offering these machines many opportunities to learn from experience. ThisSpecial Issue aims to explore the theoretical foundations, broad range ofapplications, and future directions of CB. Theoretical research can includeideas such as new algorithms and optimization techniques, while applicationscan range from drug design to discovery. Additionally, topics on ethics andsecurity aim to enhance societal impact and the reliability of CB drug designand discovery. This Special Issue seeks to uncover the potential andlimitations of CB, encouraging innovative research and applications in thefield of interest. The purpose of this Special Issue isto discuss recent advancements and innovative applications in the fields ofcomputational biomimetics. With a broad scope, it will cover the application ofCB across various disciplines related to drug discovery and design. Kind regards,Prof. dr. habil. Laszlo BarnaIantovicsAssociate Prof. dr. Fatih OzyurtAssociate Prof. dr. Aleš Zamuda

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2025-2026 Shanahan Postbac/Undergraduate fellowship at the Allen Institute and University of Washington
by Anton Arkhipov June 18, 2025

June 18, 2025

Dear Colleagues, An exciting opportunity is available for pre-doctoral researchers to work at the interface of data and neuroscience: the 2025-2026 Shanahan Postbac/Undergraduate fellowship at the Allen Institute and University of Washington Computational Neuroscience Center. These roles are open to both current undergraduate and post-baccalaureate students. Student fellows will be mentored by a current Shanahan Fellow, and they will gain hands-on research experience in neural computation, neural networks, and computational modeling/method development. Students will join a vibrant interdisciplinary research community with the opportunity to work with researchers at all levels at University of Washington and Allen Institute. Project descriptions and application link: https://compneuro.washington.edu/training-programs/shanahan-undergraduate-a… Multiple projects are available. If you are interested in bio-realistic simulations of brain circuits, apply for the project with Maria Tikhanovskaya. Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org<https://portal.brain-map.org/>

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EBRAINS-Italy training -- BRAin Dynamics AcademY
by Sergio Solinas June 18, 2025

June 18, 2025

*Apologies for cross-posting* * ERRATA CORRIGE of website link* [All details about this training activity can be found online at BRANDY <http://brandy.ebrains-italy.eu/> [https://brandy.ebrains-italy.eu] DEADLINE for EARLY registration 5th of JULY 2025 REGISTRATION fee 200 euro inclusive of lodging and meals. We are excited to announce the EBRAINS-Italy training "BRAin Dynamics AcademY BRANDY" 4-11 September 2025 AlaBirdi - Oristano (ITALY). The training activity will enrol a maximum of 30 students. *Register at this* LINK <https://docs.google.com/forms/d/e/1FAIpQLSdAo7DIgc0rcqPNyocb0pQ27FvfLmbv3wo…> *and upload a short CV and a short motivation letter* School speakers: - Nicolas Brunel University Bocconi (ITALY) - Stefano Ferraina University La Sapienza Rome (ITALY) - Alberto Mazzoni School of Advanced Studies Pisa (ITALY) - Rosanna Migliore CNR IBF Palermo (ITALY) - Mitchell Goldfarb Hunter College NY (USA) - Maurizio Mattia Istituto Superiore di Sanità (ITALY) - Chiara Bartolozzi Italian Institute of Technology (ITALY) - Huifang Wang AIX Marsellie University (FRANCE) - Addolorata Marasco University of Naples (ITALY) - Giovanni Pezzulo University of Pisa (ITALY) - Luca Bologna CNR IBF Palermo (ITALY) - Cosimo Lupo INFN Rome (ITALY) - Gianvito Urgese Politecnico di Torino Turin (ITALY) We will train attendees on advanced experimental methods and electrophysiological data, with a focus on their application in building computational models of single neurons and neuronal networks. We welcome applications from PhD students and Postdoctoral Researchers in a variety of fields, including biology, neurobiology, psychology, physics, engineering, mathematics, and industry professionals with a relevant background. Applicants are expected to have a strong academic background in their discipline, a demonstrated interest in neuroscience, and at least a basic familiarity with computer programming. We will soon post updates about the training organisation. Format: Morning lectures will be complemented with Afternoon Hands-on sessions. Date and Location: September 4th to September 11th, 2025 at the Horse Country Resort Alabirdi - Oristano, Sardinia (ITALY) <https://www.horsecountry.it/en/> Application Deadline: 5 July 2025 Applications: Please visit BRANDY <https://brandy.ebrains-italy.eu/> (corrected link) where you can find more information regarding costs, travel, and lodging. If you have any questions about the school or the application process, please contact smgsolinas(a)uniss.it We look forward to your registration and to welcoming you to the BRAin Dynamics AcademY BRANDY! Best regards, EBRAINS-Italy Training Activity Organizers - Sergio Solinas University of Sassari (ITALY) - Jonathan Mapelli University of Modena and Reggio Emilia (ITALY) - Daniela Gandolfi University of Modena and Reggio Emilia (ITALY) - Paolo Enrico University of Sassari (ITALY) Best regards, Sergio MG Solinas Dip. di Scienze Biomediche Università di Sassari Viale San Pietro 23 07100 - Sassari

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Call for Participation: International Artificial Intelligence Summer School – IAISS 2025, Sept 21-25, Riva del Sole Resort & SPA @ Tuscany * Early Registration: by June 23 *
by IAISS Organizing Committee June 18, 2025

June 18, 2025

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * IAISS2025, A Residential Summer School in AI & Generative AI for Science and Engineering IAISS 2025 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 21-25, 2025 https://2025.iaiss.cc iaiss(a)icas.cc REGISTRATION: by June 23 (AoE) https://2025.iaiss.cc/registration/ Oral Presentation Submission Deadline: by June 23 (AoE) 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 must be submitted by June 23 during the registration process. LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. *Yuki Asano, University of Technology Nuremberg, GermanyPierre Baldi, University of California, Irvine, CA,USALucas Beyer, OpenAI, Zürich, SwitzerlandWessel Bruinsma, Microsoft Research Amsterdam, The NetherlandsSam Buchanan, Toyota Technological Institute at Chicago, USAFloris Geerts, University of Antwerp, BelgiumSven Giesselbach, Fraunhofer Institute - IAIS & Telecom SystemsVicky Kalogeiton, Ecole Polytechnique Paris, FranceThomas Kipf, Google DeepMind, USAYi Ma, University of California, Berkeley, USAQing Qu, University of Michigan, USAAbigail See, Google DeepMind, London, UKMichal Valko, Meta Paris, FranceYaodong Yu, OpenAI, USADaniel Zügner, Microsoft Research Berlin, Germany * TUTORIAL SPEAKERS: *Druv Pai, University of California, Berkeley, USA* https://2025.iaiss.cc/lecturers/ https://2025.iaiss.cc/lectures/ VENUE: https://2025.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/ REGISTRATION: https://2025.iaiss.cc/registration/ CERTIFICATE & 8 ECTS: The International Artificial Intelligence Summer School – IAISS 2025 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 2025, all attendants must (1/2) register for the school (by June 23, 2025) and (2/2) book accommodation at the school venue, “Riva del Sole Resort & SPA” (by July 23, 2025); 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 2025 should register as soon as possible: https://2025.iaiss.cc/registration/ See you in Riva del Sole in September! IAISS 2025 Organizing Committees. https://2025.iaiss.cc iaiss(a)icas.cc Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2025.iaiss.cc <https://2025.iaiss.cc> the News Section: https://2025.iaiss.cc/category/news/ <https://2025.iaiss.cc/category/news/> and the FAQ: https://2025.iaiss.cc/faq/ * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *

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PhD position in Sensory Neurotechnology
by Reichenbach, Tobias June 18, 2025

June 18, 2025

Dear all, I am excited to announce an opening for a PhD position at the Chair for Sensory Neuroengineering, Department Artificial Intelligence in Biomedical Engineering at FAU in Germany. The PhD student will work on an innovative project in the neurobiology of communication. The project will investigate neurobiological mechanisms and electrophysiological markers of speech comprehension. The PhD student will therefore develop and employ EEG hyperscanning, in which the neural activity of several subjects engaged in a conversation will be measured simultaneously. They will furthermore develop AI algorithms to analyse the obtained data. The results will contribute to better customization and real-time adaptation of hearing aids to their wearers. FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for industry. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. More information is available here: https://www.neurotech.tf.fau.eu/phd-position-in-sensory-neurotechnology/ With best regards ------------------------------------------- Prof. Dr. Tobias Reichenbach Chair of Sensory Neurotechnology Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nürnberg Nürnberger Strasse 74 91052 Erlangen https://www.neurotech.tf.fau.eu/

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Thinking About Thinking: Call for web designer to join our team
by Ruairidh Battleday June 17, 2025

June 17, 2025

Dear all, We are looking for a web designer to join our wonderful design team, and help build the online platform for these activities. That person would liaise with our head of design, two content designers, web developer, and webmaster. Thinking About Thinking <http://www.thinkingaboutthinking.org/> is a 501(c)3 non-profit organization that aims to cultivate and spread new computational ideas about intelligence in an open-access manner. We run Summits <http://www.algopreneurship.ai/> on Open Problems for AI and an annual conference on the Mathematics of Neuroscience and AI <http://www.neuromonster.org/>, and will soon be launching a range of online material to complement the in-person events. We are looking for someone with good experience in website design (e.g., Squarespace) that is passionate about and currently studying a degree related to intelligence (or has done in the past). This is a great organization to blend your academic and professional interests, in this case in design! If you are interested, or know someone that might be, please do let us know, including your resume and samples of past work. This will be a very fun role, working with enthusiastic volunteers and junior researchers to build a globally recognizable brand. The position would be paid, at $30 per hour on an hourly basis, with an expected time commitment of 1 hour per week on average. We look forward to hearing from you! Ruairidh and the team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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CNS*2025 workshop 'Linking structure, dynamics and function in neuronal networks'- July 8-9, Florence, Italy
by Wilhelm Braun June 17, 2025

June 17, 2025

Dear Colleagues, We are excited to announce the workshop Linking structure, dynamics and function in neuronal networks: old challenges and new directions at CNS*2025 on the mornings of July 8 and 9 in Florence, Italy. This workshop provides a platform to discuss possible approaches for integrating the fundamental aspects of structure, dynamics, and function. In particular, the workshop aims to identify the properties of neural networks that make them suitable models for neural computation. Additionally, it seeks to define a minimal set of features leading to functional neural networks, thereby addressing conserved evolutionary principles. Details about the program can be found on our workshop homepage: https://sites.google.com/view/cns2025workshop-strudynfun/ Below is the list of confirmed speakers: Gorka Zamora-Lopez Mariia Popova Douglas Zhou Friedrich Schuessler Petra Vertes Lidia Ripoll-Sánchez Anna Levina Katharina Wilmes Leo Agueci Agostina Palmigiano Melika Payvand The workshop will conclude with a panel discussion moderated by Claus C. Hilgetag. We are looking forward to seeing you soon in Florence! Best wishes from Kiel, Cambridge and Hamburg Wilhelm Braun, Kayson Fakhar and Claus C. Hilgetag --- Wilhelm Braun Junior Research Group Leader CAU Kiel, Faculty of Engineering Department of Electrical and Information Engineering Nanoelectronics Guest Research Associate, UKE Hamburg Web: wilhelmbraun.github.io

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CNS*2025 Workshop "Mechanisms for Oscillatory Neural Synchrony"
by Canavier, Carmen C. June 17, 2025

June 17, 2025

Dear Colleagues, We are excited to announce the upcoming CNS*2025 Workshop "Mechanisms for Oscillatory Neural Synchrony", to be held on Tuesday, July 8, 2025, in Florence, Italy. https://www.medschool.lsuhsc.edu/cell_biology/cns_2025.aspx This workshop will bring together researchers who have recently published on synchronization networks of coupled oscillators, with an emphasis on phase response curve (PRC) theory. Carmen Canavier: A Mean Field Theory for Pulse-Coupled Oscillators based on the Spike Time Response Curve ; LSU Health Sciences Center New Orleans Joshua A Goldberg: Empirical study of dendritic integration and entrainment of basal ganglia pacemakers using phase response curves; Hebrew University of Jerusalem Dimitri M Kullmann: Phase response curves in the hippocampus and cerebellar cortex; University College London Hermann Riecke: Paradoxical phase response of gamma rhythms facilitates their entrainment in heterogeneous networks; Northwestern University Yangyang Wang: Variational and phase response analysis for limit cycles with hard boundaries, with applications to neuromechanical control problems; Brandeis University Brandon Williams Fast spiking interneurons generate high frequency gamma oscillations in the medial entorhinal cortex; Boston University

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Call for Applications: MSc Health Data Science at the University of Plymouth
by Vesna Vuksanovic June 17, 2025

June 17, 2025

Dear All * Apologies for cross-posting* We are pleased to invite applications for our MSc Health Data Science programme at Swansea University, UK. Our MSc programme offers a comprehensive curriculum covering key areas including Machine Learning, Health Data Modelling, Visualisation and Linkage. The programme is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas and focuses on developing practical, healthcare-ready skills alongside strong theoretical foundations. Our students benefit from hands-on projects to gain relevant, transferable technical skills and software proficiency for working with and manipulating health data, and to learn how to use and apply advanced statistical and machine learning methods with real-world data. 🔗 Learn more: MSc Health Data Science - Swansea University<https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-…> 📅 Applications are open for both September and January intakes. For further information or specific queries, please feel free to contact me directly. We look forward to welcoming the next generation of health data scientists! Kind regards Vesna Vuksanovic, PhD, FHEA Programme Director, MSc Health Data Science Senior Lecturer Health Data Science _______________________________________________________________________________________________________________________________________________ Swansea University Medical School Data Science Building Swansea SA2 8PP UK

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CNS*2025 Workshop "Modeling extracellular potentials: principles, methods, and applications" – Speaker Lineup and Schedule
by Nicolo Meneghetti June 17, 2025

June 17, 2025

Dear Colleagues, We are pleased to announce the CNS*2025 Workshop “Modeling extracellular potentials: principles, methods, and applications” which will take place on Wednesday, July 9, 2025, in Florence, Italy. Simulating large-scale neural activity is a key step in understanding brain dynamics and in linking in silico models to experimentally measurable signals such as LFP, EEG, and MEG. These simulations, ranging from detailed biophysical reconstructions to simplified proxies, enable us to connect microscale neuronal activity with meso- and macro-scale brain signals. They offer powerful tools to interpret experimental data, refine analytical techniques, and investigate brain function. Recent developments have underscored the clinical and theoretical relevance of such models, helping to elucidate mechanisms underlying neural oscillations, excitation-inhibition balance, and biomarkers of neurological disorders including epilepsy, Alzheimer’s disease, and Parkinson’s disease. This workshop will showcase state-of-the-art methodologies, and a wide array of applications for brain signals simulation. By bringing together experts from diverse fields, it aims to foster interdisciplinary exchange and advance our understanding of both healthy and disordered brain function. Abstracts of all talks are available on the workshop website: https://nicolomeneghetti.github.io/ECP_CNS2025_Wshop/ Workshop program: 09:15 – 09:50 | Dominik Peter Koller, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Berlin, Germany Title: "How structural connectivity directs cortical traveling waves and shapes frequency gradients" 09:50 – 10:25 | Gaute T. Einevoll, Department of Physics, University of Oslo, Oslo, Norway Title: "Modeling electric brain signals and stimulation" 10:30 – 11:00 | Coffee Break 11:00 – 11:35 | Johanna Senk, Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany Title: "Large-scale modeling of mesoscopic networks at single-neuron resolution" 11:35 – 12:10 | Pablo Martínez Cañada, Research Centre for Information and Communications Technologies (CITIC), University of Granada, Granada Title: "Inverse Modelling of Field Potentials from Simulations of Spiking Network Models: Applications in Neuroscience Research and Clinical Settings" 12:10 – 12:40 | Nicolò Meneghetti, The Biorobotics Institute, Sant’Anna School of Advanced Studies, Pisa, Italy Title: "From microcircuits to mesoscopic signals: a kernel approach to efficient and interpretable LFP estimation" 12:45 - 14.00 | Lunch Break 14:15 – 14:50 | Emily Patricia Stephen, Department of Math and Statistics, Boston University, Boston, MA, United States of America Title: "Connecting biophysical models to empirical power spectra using Filtered Point Processes" 14:50 - 15:25 | Madeleine Lowery, School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland Title: "Modelling Neural Activity During Adaptive Deep Brain Stimulation for Parkinson’s Disease" 15:30 - 16:00 | Coffee Break 16:00 – 16:35 | Meysam Hashemi, Aix Marseille University INSERM, INS, Institute for Systems Neuroscience, Marseille, France Title: "Principles and Operation of Virtual Brain Twins" 16:35 - 17:10 | Katharina Duecker, Brown University and University of Birmingham, USA/UK Title: "The Human Neocortical Neurosolver as an interactive modeling tool to study the multi-scale mechanisms of human EEG/MEG signals" We look forward to your participation in what is shaping up to be a lively and insightful workshop. With best regards, Nicolò Meneghetti and Eleonora Russo

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Gordon Research Conference in Robotics, Ventura (USA), Jan. 11-16 2026: Call for posters and participation
by Auke Ijspeert June 16, 2025

June 16, 2025

Call for posters and participation, GRC Robotics, Ventura (USA), January 11-16 2026. Dear computational neuroscientists, We are happy to announce the Gordon Research Conference (GRC) in Robotics that will take place in Ventura (USA), January 11-16 2026. We have a great list of speakers and discussion leaders (see below and the website). The call for participation and for posters in now open, see https://www.grc.org/robotics-conference/2026/ This year’s conference will focus on *adaptive behavior and learning in animals and robots*. We will explore how biological inspiration drives advancements in robotics, from simple reactive behaviors to complex planning and learning systems. Insights from biomechanics, neuroscience, and animal studies are increasingly shaping the design and control of robots, making them more robust and adaptable. A key focus will be on *embodied intelligence, enabling robots to excel in locomotion, manipulation, and interactions with other agents*. Conversely, robotics research is also contributing to biology. Studies of perception and action in robotic systems are leading to new mathematical models that help integrative biologists understand locomotion, manipulation, and collective behavior in animals. By *bringing together experts from robotics, biomechanics, and neuroscience*, this conference aims to foster cross-disciplinary insights that will push the boundaries of both fields. Join us for a dynamic exchange of ideas at the intersection of robotics and biology, where engineering meets evolution. /The Robotics GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. The conference program includes an array of speakers and discussion leaders from institutions and organizations worldwide, concentrating on the latest developments in the field. The conference is five days long and held in a remote location to increase the sense of camaraderie and create scientific communities, with lasting collaborations and friendships. In addition to premier talks, the conference has designated time for poster sessions from individuals of all career stages, and afternoon free time and communal meals allow for informal networking opportunities with leaders in the field./ Best regards, Auke Ijspeert and Vijay Kumar, organizers./ / *Invited speakers:* Alin Albu-Schaeffer Nora Ayanian Spring Berman Oliver Brock Rod Brooks Bingni Brunton Henrik Christensen Kenji Doya Nadia Figeroa Josie Hughes Marco Hutter Dan Koditschek Cecilia Laschi Tony Prescott Amanda Prorok Daniela Rus Michael Rubenstein Dorsa Sadigh Giulio Sandini Stefan Schaal Claire Tomlin Kotaro Yasui *Invited discussion leaders:* Josie Hughes Dan Koditschek Cecila Laschi Chen Li Barbara Mazzolai Yasemin Ozkan-Aydin Stefan Schaal Giulio Sandini Barry Trimmer -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert (he/him) Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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Call for Participation - IEEE ARSO 2025 (Osaka, Japan | July 17-19)
by nagai.yukie＠mail.u-tokyo.ac.jp June 16, 2025

June 16, 2025

Dear colleagues, (Apologies for any cross-posting.) We are pleased to announce that the 2025 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025) will be held from July 17 to 19, 2025, at JAM BASE in Grand Green Osaka, a central hub in Osaka, Japan. Early registration is open until June 21, 2025. A special public session titled "Emergence of “cohabitant” robots and their ELSI implications" will be held on July 18 from 16:40 to 18:00. This session will be conducted in Japanese (AI-powered English captions projected on-screen) and is fee of charge. We warmly invite your participation in ARSO 2025 and look forward to welcoming you in Osaka. ------------------------------------------------------------------------ 2025 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025) https://ieee-arso.org * Date: July 17th-19th, 2025 * Venue: Blooming Camp on the 3rd floor of Grand Green Osaka "JAM BASE", Osaka, Japan * Registration: https://ieee-arso.org/registration/ Advanced robots are expected to enter in promising applications in our future society and bring substantial impacts. The increasing implementation of AI-based components even broaden their fields of application. To ensure that these impacts are positively reflected, today, we need to extend views not only on technical aspects but also on social challenges that we might face, including safety, regulation, ethics, human factors, and philosophy. The topics of ARSO 2025 include, but are not limited to the following: * Human-robot interaction in physical & psychological aspects * Safety standards for advanced robots & autonomous systems * Legal and ethical issues for advanced robots * Impact of robotics on society, e.g. robot business, marketing & economic impact * Robotics for sustainability, climate change or civil aid * Advanced industrial robots for future manufacturing * Healthcare & medical applications * Rehabilitation and transfer robotics * Service & assistance applications * Entertainment & education robotics * Robotics & autonomous driving * Bio-inspired robotics * Soft and wearable robotics Keynote Talks: 1. "The role of AI and robotics in society: Challenges and considerations" Arisa Ema (The University of Tokyo, Japan) 2. "Do robots really care?" Raja Chatila (Institut Systèmes Intelligents et de Robotique (ISIR), France) 3. "Towards ethical lethal autonomy: Are reductions in noncombatant casualties achievable?" Ronald C. Arkin (Georgia Institute of Technology, USA) General Chairs: Minoru Asada, Japan Silvia Rossi, Italy Program Chairs: Kensuke Harada, Japan Emel Demircan, USA Astrid Weiss, Austria ARSO 2025 Special Public Session "Emergence of “cohabitant” robots and their ELSI implications" https://ieee-arso.org/special-public-session/ * Date: July 18th (Fri.) 16:40 - 18:00 * Venue: Blooming Camp on the 3rd floor of Grand Green Osaka "JAM BASE", Osaka, Japan * Language: Japanese (AI-powered English captions projected on-screen) * Participation fee: free of charge * Registration: https://forms.gle/xGgycTG2rHzNJ83q7 Purpose of the session: We are now entering an era in which robots are becoming part of our homes and everyday spaces—living with us as “cohabitant robots.” These robots are not mere tools; they are increasingly viewed as companions that mediate emotional connections and relationships. Cohabitant robots have the potential to enhance our well-being by supporting the elderly emotionally, assisting children’s learning, and providing personalized engagement. At the same time, however, they also raise new social and ethical concerns, such as risks to privacy and the potential for emotional manipulation. At the 21st IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025), we are organizing—for the first time—a special session open to the general public. This commemorative session will begin with a keynote lecture by Mr. Yoichiro Masuda, a product designer at Panasonic Corporation, who led the development of the cohabitant robot NICOBO. In his talk, titled “NICOBO: Idea, Design, and Development,” he will share the story behind NICOBO’s creation and the philosophy that shaped it. Following the keynote, three expert talks will be delivered from the perspectives of roboethics, psychology, and anthropology, exploring the societal impacts and challenges posed by cohabitant robots. After the talks, a general discussion with the audience will be held. We warmly invite your questions and comments as we reflect together on how humans and robots may co-exist in the future. Program: 16:40–16:45 – Opening Remarks Tatsuhiko Inatani (Professor of Law, Kyoto University) 16:45–17:05 – Keynote Talk "NICOBO: Idea, Design, and Development" Yoichiro Masuda (NICOBO Project Leader, Panasonic Entertainment & Communication Co., Ltd.) 17:05–17:15 – Talk 1 "Rethinking Roboethics: Aesthetics of Existence, Social Transformation, and Agile Governance" Minoru Asada (Vice President, International Professional University of Technology in Osaka; Specially Appointed Professor, The University of Osaka) 17:15–17:25 – Talk 2 "Care and Learning in Human-Robot Interaction: Psychological Mechanisms and Well-Being" Hiroko Kamide (Program-Specific Associate Professor, Kyoto University) 17:25–17:35 – Talk 3 "Cultivating Polyphonic Companionship: Imperfection, Misalignment, and the Making of Robotic Intimacy in Contemporary Japan" Hirofumi Katsuno (Professor of Anthropology, Doshisha University) 17:35–17:55 – General Discussion Moderator: Tatsuhiko Inatani (Professor of Law, Kyoto University) Best regards, Yukie Nagai, on behalf of the organizing committees — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

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World wide VVTNS series (fifth season): Wednesday, June 18, 2025, at 11:00 am EDT| Riccardo Zecchina , Bocconi University, Milano
by David Hansel June 15, 2025

June 15, 2025

[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 Riccardo Zecchina Bocconi University, Milano Local Deep Learning without Gradients in Asymmetric Recurrent Networks The lecture will be held on zoom on Wednesday, June 18, 2025, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: * We introduce a statistical physics framework for learning in neural architectures composed of single or interconnected asymmetric attractor networks. These systems can exhibit a manifold of global fixed points capable of implementing sophisticated input-output mappings, which we characterize analytically. Learning from extensive datasets is achieved through the stabilization of fixed points via a fully distributed and local learning process, implemented at the single-neuron level. This simple mechanism yields performance comparable to that of conventional feedforward deep neural networks trained using gradient-based methods. The effectiveness of the model stems from the dense and accessible manifolds of stable fixed points, which encode the internal representations of data. Unlike other approaches to deep learning without backpropagation, our method does not attempt to estimate gradients. *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

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CNS*2025 Workshop "Brains and AI" – Speaker Lineup and Schedule
by Bazhenov, Maksim June 14, 2025

June 14, 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/ 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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2 year Post-Doc - Charles University in Prague - Bioinspired Recurrent Neural Network Architectures
by Jan Antolik June 14, 2025

June 14, 2025

The CSNG Lab <https://csng.mff.cuni.cz/> at the Faculty of Mathematics and Physics at the Charles University is seeking a highly motivated *Postdoctoral Researcher* to join our team to work on *digital twin model of visual system. *Funded by the JUNIOR Post-Doc Fund <https://cuni.cz/UKEN-178.html>, this position offers an exciting opportunity to conduct cutting-edge research at the intersection of systems neuroscience, computational modeling and AI. *Project description:* Modern deep-learning techniques have transformed visual neuroscience by substantially improving the ability of models to predict cortical neuron responses to unseen visual stimuli. However, current deep-learning methods have two major shortcomings. First, they focus on predicting only the average neural response, failing to capture the fine temporal dynamics generated within recurrent neural populations. Second, these models rely on standard "off-the-shelf" architectures optimized for efficient training rather than reflecting the biological substrate under study. As a result, they function as black boxes, making it difficult to interpret the learned representations in terms of how visual processing is organized and implemented in biological neural circuits. These limitations hinder the ability of deep-learning models to provide meaningful insights into the principles governing vision and translate them to clinical applications such as brain-machine-interface systems. To address these challenges, in this project *we will develop novel modular, multi-layer recurrent neural **network (RNN) architectures that directly mirror the architecture of the primary visual cortex.* Our models will establish a one-to-one mapping between individual neurons at different stages of the visual pathway and their artificial counterparts. They will explicitly incorporate functionally specific lateral recurrent interactions, excitatory and inhibitory neuronal classes, complex single-neuron transfer functions with adaptive mechanisms, synaptic depression, and others. We will first train our new RNNs on synthetic data generated by a state-of-the-art biologically realistic recurrent spiking model of the primary visual cortex developed in our group. After we establish the proof-of-concept on the synthetic data, we will translate our models to publicly available mouse and macaque data, as well as additional data from our experimental collaborators. *What do we offer:* We are the Computational Systems Neuroscience Group (CSNG) <https://csng.mff.cuni.cz/> based at the Faculty of Mathematics and Physics of Charles University, Prague. The main goal of our group is to identify computations implemented in the neural system that underlies sensory perception, as well as applying this knowledge to the design of stimulation protocols for visual prosthetic systems. To that end, we build models of visual systems at various levels of abstraction using a variety of computational techniques including, but not limited to, machine learning and large-scale biologically plausible spiking neural network simulations. The position is *fully funded for 2 years, *and comes with a salary equivalent to ~2400 EUR/month. We offer a dynamic international working environment and collaborations with world-leading experimental labs (Stanford, University of Pennsylvania, Institute de la Vision Paris etc.). *Candidate profile:* Strong background in modern machine learning techniques. Prior experience with training recurrent neural networks, and neuroscience or related disciplines is an advantage, but not strict requirement. Interested candidates should *contact Dr. Ján Antolík* ( jan.antolik(a)mff.cuni.cz) with their CV. *Deadline 5th August 2025.*

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Computational neuroscience Post Doc position
by Thomas Funck June 12, 2025

June 12, 2025

Hi everyone, We currently have a job opening for a Post Doctoral Fellow in computational neuroscience, specifically for neural mass modeling. The position is based in New York City and is for 3 years. Please see below. Feel free to reach out if you have any questions or want to discuss further! Cheers, Thomas Funck Research Scientist Child Mind Institute JOB TITLE: Postdoctoral Fellow DEPARTMENT: Research- Center for Integrative Developmental Neuroscience LOCATION: Midtown, NY WORKPLACE SETTING: HYBRID (min. 4 days in office per week) POSITION SUMMARY: The Postdoctoral Research Fellow will focus on studying brain structure and functional connectivity at the forefront of computational neuroscience. You will work in close collaboration with internal and external partners to advance the modeling of whole-brain dynamics through the integration of microstructural brain data into large-scale simulations. You will work closely with an interdisciplinary team of neuroscientists, software developers, and data scientists to design, implement, validate, and disseminate open-source tools that integrate mesoscale neurotransmitter receptor maps into a neural mass modeling (NMM) simulation environment, and extend existing brain simulation tools to explore the biological underpinnings of brain function. RESPONSIBILITIES * Process and analyze large-scale fMRI, MRI, and DTI data from human and non-human * primate datasets using high-performance computing infrastructures. * Design and conduct simulations of whole-brain activity using surface-based cortical * meshes and brain atlases and validate simulation outputs against empirical fMRI data. * Implement Python code to integrate anatomic priors into existing NMM simulation * software. * Prepare manuscripts for publication in peer-reviewed journals and assist with grant * applications and data sharing with collaborators. * Provide guidance and support to junior research staff, including assistance with data * analysis and professional development. * Support the completion of ongoing and future grant-funded projects * Perform other job-related duties as assigned. QUALIFICATIONS Minimum Qualifications • Ph.D. in neuroscience, biomedical engineering, computer science, physics, applied mathematics, or a related field. • Publication track record demonstrating ability to conduct independent research and work collaboratively within a multidisciplinary team; with at least 1 first author publication or multiple middle author publications with significant contribution to the project. • 3+ years experience in Python and scientific computing (e.g., Numpy, Scipy, Scikit-Learn), and the Git version control systems. • 3+ years experience of existing neuroimaging software packages (e.g., ANTs, FreeSurfer, AFNI, FSL) file formats (e.g., NIfTI, GIFTI, CIFTI). • 3+ years of experience in neuroimaging research, including expertise with one or more imaging modalities such as fMRI, DTI, MRI, EEG, or MEG. General Qualifications • Strong interpersonal and communication skills in English, including written and oral communication. • Work cooperatively and contribute to group efforts in a very collaborative, opensource, and multidisciplinary environment. • Efficiently handle multiple responsibilities and meet deadlines in a fast-paced environment ADA Qualitifactions This position is based in a professional office environment. It requires the ability to sit or stand for extended periods, operate standard office equipment (including computers, phones, copiers, and printers), perform repetitive tasks, and communicate effectively with others. Occasional lifting of up to 20 pounds may also be required. 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 and any attachments

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Free and Online National Level Webinar: Cybersecurity, Ethical Hacking, and Network Security
by PRANAV NERURKAR June 12, 2025

June 12, 2025

Dear Esteemed Colleagues (Apologies for multiple emails) National Level Webinar: Cybersecurity, Ethical Hacking, and Network Security The Department of Artificial Intelligence at Utkarsh Minds Technologies is excited to present a free webinar on: *- *Cybersecurity, Ethical Hacking, and Network Security** Details - Date: June 14, 2025 - Time: 4:00 PM IST - Mode: Online Webinar Highlights - Explore the latest trends and techniques in cybersecurity - Learn about ethical hacking and network security - Gain insights from experts in the field Registration - Register here: https://internships.utkarshminds.com/sessions/Career-prospects-in-Cybersecu… Contact - For further queries, please reach out to: - Pranav Nerurkar: 9619997797 Join us to enhance your knowledge in cybersecurity and stay ahead in the field! Warm and Kind regards, *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ <amandine.deplantes(a)igonogo.io>utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066

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[Newsletter RTAIM] 4th Inter. Conf. Ethics of AI (24-30 July, deadline: 25 June) + 19h RTAIM Seminar + Call for Papers (JAIC)
by steven gouveia June 12, 2025

June 12, 2025

Dear All, The Call for Abstracts for the 4th International Conference on Ethics of Artificial Intelligence (4ICEAI) is open until the 25 June 2025 (final deadline). Keynotes speakers are: John P. Hawthorne (Uni. Southern California), Julia Maria Mönig (Uni. Bonn), Pietro Perconti (Uni. Messina), Emília Duarte (European Uni.), Jesmin Jahan Tithi (AI Research Scientist at Intel), Christina H. Dietz (Uni. Southern California), Gabriel Ferreira (Uni. Sinos River Valley) and Raquel Simões de Almeida (Porto Polytechnic Higher School of Health). In-person submissions will be considered for the Ethics of AI Award 2025. You can find more about the conference here: https://ifilosofia.up.pt/activities/4-international-conference-ethics-ai Moreover, you are welcome to attend the 19th rTAIM Online Seminar, with the participation of Gustavo Oliva (UNISINOS, Brazil), 18 June 2025, 3:00pm - 4:30pm (Lisbon Time) via Zoom with the title “Patient Preference Predictors and the Rationality of Belief". You can find the relevant Zoom information here: Link: https://videoconf-colibri.zoom.us/j/91369601205?pwd=bsXLHK7a9pbpaoyJZuNwTuG… ID: 913 6960 1205 Password: 924448 Finally, paper submissions for a special issue on AI, 4E and Consciousness at the Journal of Artificial Intelligence and Consciousness is available here (deadline: 31 August 2025): https://www.worldscientific.com/page/jaic/callforpapers02 Sincerely yours, RTAIM Team

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Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L June 11, 2025

June 11, 2025

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

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Ibn Sina Neurotech Autumn School, Abu Dhabi, UAE (13-17 October 2025)
by Mohamed Abdelhack June 11, 2025

June 11, 2025

Dear Community, Arabs in Neuroscience is pleased to announce the Ibn Sina Neurotech Autumn School that will be held at the NYU Abu Dhabi campus, UAE between 13-17 October 2025. At Ibn Sina Neurotech School 2025, we will teach hands on knowledge of data collection and analysis with a focus on fMRI. It is ideal for graduate students and postdocs who are interested in delving into the field of fMRI data collection and analysis and also those who look into fitting their models on data and would like to understand the caveats. The language of instruction is going to be English with support for Arabic speakers and it is open to everyone regardless of background. We would like to establish a collaborative environment that cross geographical boundaries. Confirmed faculty: - Nancy Kanwisher (MIT) - Rik Henson (U of Cambridge) - Moataz Assem (U of Cambridge) - Bas Rokers (NYU Abu Dhabi) - Mohamed Abdelhack (Krembil Centre for Neuroinformatics) - Abdalla Mohamed (NYU Abu Dhabi) School fees: 1200 USD (international) 400 USD (Abu Dhabi locals) Scholarships available to deserving students. School is sponsored by IBRO, NYU Abu Dhabi, and the American University in Cairo So if you are interested in learning how to fMRI, make sure you apply before the deadline on June-15th and please share amongst your networks.https://arabsinneuro.org/school/isn/

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[Meetings] Call for late-breaking results - IEEE Int. Conf. Development and Learning (ICDL) 2025
by Matej Hoffmann June 10, 2025

June 10, 2025

* Dear colleagues, The IEEE International Conference on Development and Learning 2025 will be held September 16–19, 2025 in Prague, Czechia. Website: https://icdl2025.fel.cvut.cz/ We invite submissions of: Late-breaking results as 1-page abstracts - Deadline: June 13, 2025. ----------------------------------- CfP IEEE ICDL 2025 ----------------------------------- https://icdl2025.fel.cvut.cz/ <https://icdl2025.fel.cvut.cz/> 16–19 September 2025 in Prague; Czechia 2025 IEEE International Conference on Development and Learning (ICDL) We invite submissions to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ----------------------------------- Important Deadlines ----------------------------------- Late-breaking results (1-page abstracts)—deadline: June 13, 2025. ----------------------------------- Speakers ----------------------------------- Jeff Krichmar (University of California, Irvine, USA) Masako Myowa-Yamakoshi (Kyoto University, Japan) Giulio Sandini (IIT Genoa, Italy) Tilbe Göksun (Koç University, Turkey) Josef Šivic (CIIRC, CTU in Prague, Czechia) ----------------------------------- Topics ----------------------------------- ICDL is a unique conference gathering researchers from both computational science (including robotics, AI, cognitive architecture) and developmental studies (psychology, linguistics, anthropology, education, philosophy) for a fertile exchange sharing ideas, perspectives, knowledge, research findings on how humans and animals develop sensing, reasoning and actions, including interactive ecologies and how these capabilities can be implemented in computing (embodied) systems. This approach goes hand in hand with the goal of both understanding human and animal development and how this can be applied to improve future intelligent technology including all kinds of artificial systems that will be in close interaction with humans. Topics of interest include (but are not limited to): – general principles and theories of development and learning; – embodied learning in biological systems and robots; – development of skills in biological systems and robots; – developmental stages and sensitive periods; – architectures for cognitive development and life-long learning; – emergence of body knowledge and affordance perception; – learning control of body movement; – (models of) curiosity, intrinsic motivations, exploration, play and active learning; – (models for) prediction, planning and problem solving; – developmentally-inspired machine learning; – applications of machine learning to human and animal development; – emotional development and the role of emotion in learning; – emergence of verbal and nonverbal communication; – metacognitive skills and the role of metacognitive learning and explicit communication; – (models of) human–human and human–system interaction; – epistemological foundations and philosophical issues; – the relationship between evolution and development; – ethics in modeling learning and development. ----------------------------------- Submission ----------------------------------- The submissions are available through the PaperPlaza (https://ras.papercept.net/conferences/scripts/start.pl <https://ras.papercept.net/conferences/scripts/start.pl>) system. Detailed instructions are at https://icdl2025.fel.cvut.cz/submission/ <https://icdl2025.fel.cvut.cz/submission/>. Late-breaking posters with 1-page abstract—deadline: June 13, 2025. To encourage discussion of late-breaking results or work that is not sufficiently mature for a full paper, we will accept 1-page extended abstracts. Accepted submissions will be presented during the poster session. These submissions will be included in the local conference proceedings but not on IEEE Xplore. In PaperPlaza, please fill in the abstract and on the next page submit a pdf document of maximum 1 page using the provided template. The submission may contain figures and references. General chair: Matej Hoffmann Program chairs: Alessandra Sciutti, Emre Ugur, Katharina J. Rohlfing * -- Matej Hoffmann, PhD Associate Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Karlovo namesti 13 121 35 Praha 2, Czech Republic +420 224 357 387 https://sites.google.com/site/matejhof/home https://cyber.felk.cvut.cz/humanoids IEEE ICDL 2025 General Chairhttps://icdl2025.fel.cvut.cz/

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NEST Conference 2025 — Register by Wednesday, 11 June (23:59 CEST/UTC+2)!
by Hans Ekkehard Plesser June 10, 2025

June 10, 2025

Dear Colleagues, We are looking forward to an exciting virtual NEST Conference 2025 on 17–18 June. This year’s program includes keynotes by * Marja-Leena Linne, Tampere University, Finland Astroglia in Neural Circuits: Modeling Synaptic and Network Modulation * Daniela Gandolfi, Università degli Studi di Modena e Reggio Emilia, Italy Full-scale point neuron models of mouse and human hippocampal microcircuits * Bernhard Vogginger, TU Dresden, Germany The SpiNNaker2 neuromorphic system for large-scale brain simulation and energy-efficient AI * Barna Zajzon, Forschungszentrum Jülich, Germany Signal propagation and denoising through topographic modularity of neural circuits complemented by contributed talks, posters and three workshops. You will find the full program at https://events.hifis.net/event/2047/timetable/#all.detailed To register, please go to https://nest-simulator.org/conference. Registration deadline is coming Wednesday, 11 June 2025 23:59 (CEST, UTC+2). We are looking forward to seeing you at the NEST Conference 2025! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Research Committee Chair, Faculty of Science and Technology Head, Department of Data Science President, NEST Initiative e.V. 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

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