- Comp-neuro - lists.cnsorg.org

PhD opportunity in computational neuroscience at UPC - BarcelonaTech

by Linus Manubens-Gil

Dear All, I am seeking a candidate interested in applying for an *FPU-UPC PhD fellowship *(see last year's call for reference here <https://talenthub.upc.edu/en/jobs/r1/fpu-upc-2025/fpu-upc-2025>) to work on computational neuroscience. The project can be oriented either toward: 1. *Single-neuron biophysical modeling:* ion-channel dynamics, dendritic and axonal morphology, calcium-dependent plasticity, and large-scale simulations of human and mouse neurons. 2. *NeuroAI:* biologically inspired machine-learning models using realistic neuronal network architecture constraints (see: https://biocomsc.upc.edu/en/tfg-and-tfm-with-us/projects/tfe_neuroia_2025-1… ). Candidates should have solid skills in Python and ideally computational neuroscience modeling (NEURON, Arbor, etc.) or AI background (e.g., PyTorch) and a strong motivation for either direction. Interested applicants should send a *CV + brief statement of interest*. Application deadline (early April 2026). Some time may be necessary to arrange documentation and get preliminary acceptance in the PhD program. Start date (October 2026). With best regards, Linus -- Linus Manubens-Gil Investigator BG Jr <https://www.ciencia.gob.es/en/Convocatorias/2024/BeatrizGalindo2024.html> BIOCOM-SC <https://biocomsc.upc.edu/en/> MERIT MSc. Programme <https://epsem.upc.edu/en/graduate/merit> Dept. EMIT <https://emit.upc.edu/en?set_language=en> Universitat Politècnica de Catalunya BarcelonaTech - EPSEM

Nov. 27, 2025

Fwd: [seminar.wwtns] New recording on the VVTNS YouTube channel: Flexible analog computation in low-rank balanced spiking networks by Alfonso Renart

by David Hansel

[image: VVTNS.png] > > <https://84454458.streak-link.com/Cq-mDg07ey98pEfARQH4qidY/https%3A%2F%2Fwww…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide - on Youtube > New on the VVTNS YouTube Channel https://www.wwtns.online/past-seminars-2025-2026 *Flexible analog computation in low-rank balanced spiking networks* Lecture delivered on November 26, 2025 by Alfonso Renart Champalimaud Centre for the Unknown, Lisbon *Abstract:* Recurrent networks with balanced excitation-inhibition explain a wide range of neurophysiological observations, but can only implement a limited set of transformations on their input. On the other hand networks of firing-rate units with low-rank connectivity have universal computational capabilities, but do not work with spikes or generate noise self-consistently. Although empirical approaches to merge these two computational frameworks have been constructed, there is no established theory describing their unification. Here we develop such a theory. We study analytically and numerically networks with connectivity comprising random “strong”, and low-rank “weak” components. When the low-rank connectivity is slow, a well-defined notion of instantaneous firing rate emerges which implies universal computation as previously shown. However, the fact that such time-varying rates are the result of E-I balance has important implications. We show that internally or externally generated fluctuations along particular latent modes tend to break the E-I balance. Its maintenance is obtained through the emergence of a spontaneous coupling between the mean and the variance of the membrane potential and the norm of the latent state driving these modes. This leads to several predictions, the most counterintuitive of which is that coherent global fluctuations in subthreshold membrane potential (Vm) should coexist with desynchronized activity at constant firing rates when the dynamics of these modes is excited. To test our theory, we show that the coupling between the average Vm and the latent state adds new non-linear dimensions to the low-dimensional manifold of the network, which lead to a frequency doubling when the input to the network is periodic, a prediction that is borne out in population recordings from mouse V1. Our results unify two prevalent frameworks for cortical computation and clarify the relationship between computation, dynamics and geometry in circuits of spiking neurons. *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

Nov. 26, 2025

Call for Contributions: Conference on the Simulation of Adaptive Behavior, 19-22 October, at TU Berlin, Germany

by Sprekeler, Henning

From Animals to Animats 18: The 18th International Conference on Simulation of Adaptive Behavior (SAB 2026) Where: TU Berlin, Germany When: 19-22 October 2026 Website: www.sab-conference.org<http://www.sab-conference.org/> Important Dates Submission deadline: 15 May 2026 Notification of acceptance:19 June 2026 Camera-ready paper version due: 17 July 2026 Conference takes place: 19-22 October 2026 Objectives: The interdisciplinary conference on the Simulation of Adaptive Behavior: From Animals to Animats (SAB) 2026 brings together researchers from artificial intelligence, robotics, behavioral biology, psychology, neuroscience, and many other fields. The conference offers a unique opportunity to exchange ideas across disciplinary boundaries. We believe this exchange is necessary to advance our understanding of the mechanisms that enable general and robust behavior in natural animals and artificial agents. The conference focuses on characterizing and comparing organizational principles and architectures underlying adaptive behavior in animals and animats. Animats denote the conceptual connections between animals and synthetic agents. The conference therefore actively seeks submissions that bridge several of the aforementioned disciplines, combining their methodological foundations to arrive at novel insights and approaches. Of particular interest are research projects which connect natural behavior to synthetic agents, including those leveraging modern machine learning and deep learning techniques for behavioral modeling, analysis, and synthesis. Selected papers will be invited to a special issue in the journal Adaptive Behavior and will be published with Springer Nature. SAB accepts submissions in several tracks: * Conference papers are peer-reviewed. Accepted papers will be published in conference proceedings “From Animals to Animats 18: SAB 2026” Lecture Notes in Artificial Intelligence, Springer Nature. * Conference papers without inclusion in the proceedings. These papers will undergo a light peer-review. Papers will be included on the conference website but they will not be formally published so that your research results can still appear in your disciplinary journals. * Poster abstracts are peer-reviewed for general suitability of the content. Accepted posters will be presented at a poster session and, time permitting, will be able to present a spotlight presentation to the conference attendees. * Position papers are peer reviewed; they offer a novel, visionary perspective on the convergence of different branches of behavior-based research in both artificial and biological systems. These papers are supposed to trigger a lively discussion. * Workshop or Tutorial proposals will be peer reviewed. Workshops and Tutorials will take place on September 20. The event should be relevant to the expected audience of SAB. Topics of interest: * Artificial Intelligence, Artificial Life, and Computational neuroscience * Action selection, behavioral sequencing * Communication and language * Emotion and motivation * Internal models and representations * Reinforcement learning * Sensory-motor coordination, motor control * Software agents and virtual creatures * Philosophical Issues * Consciousness * Ethics * Mind/Body problem * Robotics * Autonomous robotics * Bio-inspired and hybrid robotics * Cognitive robotics * Developmental robotics * Humanoid robotics * Navigation and mapping * Neurorobotics * Self-Organizing Systems * Body and brain co-evolution * Collective and social behavior * Dynamical systems approaches * Evolutionary and co-evolutionary approaches * Self-assembling and self-replication Paper and Abstract Submission: Author Guidelines for All Tracks All submissions must be written in English and formatted in the Springer LNCS style. Please refer to the LNCS Springer style guide<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…> for style templates and formatting instructions. We strongly encourage authors to prepare papers using LaTeX. The LNCS package for LaTeX and the instructions file can be downloaded directly from Springer’s website. Additional Guidelines for Conference and Position Papers All submitted papers (conference papers with and without inclusion in the proceedings, as well as position papers) must not exceed 12 pages, including references. Additional Guidelines for Poster Abstracts All submitted poster abstracts must not exceed 3 pages, including references. How to Submit All submissions will be handled through the CMT (Conference Management Toolkit) system. Authors must create a CMT account before submitting their paper. (For instructions: visit our website<https://sab2026.scioi.de/call-for-contributions/>.) Where to Submit SAB submission website (CMT)<https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FSAB2026%2FSubmi…> Paper Review & Acceptance: All submitted full papers will be peer-reviewed based on relevance, originality, quality of presentation, and technical quality. The authors of all accepted papers are kindly requested to revise their papers following the reviewers’ comments. Authors of accepted papers will be invited to present their research work either as an oral presentation or as a poster. Workshop Tutorial Proposals: We will consider proposals for workshops and tutorials. Workshops and tutorials will be held on the first day of the conference (19 October 2025) and must be held in-person. Proposals will be reviewed by the Organizing Committee. To submit a workshop or tutorial, please follow the below template and submit here: CMT Portal<https://cmt3.research.microsoft.com/SAB2026/Track/6/Submission/Create> Template Similar to paper submissions, please follow the LNCS Springer style guide<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…> for templates and formatting instructions. For your workshop or tutorial proposal, please include the following information, as displayed on our website<https://sab2026.scioi.de/call-for-contributions/>. Publication: All accepted papers (oral and poster presentations) will be published by Springer Nature in the Lecture Notes in Artificial Intelligence series<https://link.springer.com/conference/sab>. Program Committee: Francisco Javier Bellas Bouza – Universidade da Coruña Maren Bennewitz – Universität Bonn Marcel Brass – Humboldt-Universität zu Berlin Lola Cañamero – CY Cergy Paris Université Nikolaus Correll – University of Colorado Boulder Richard José Duro Fernández – Universidade da Coruña Heiko Hamann – Universität Konstanz Alex Kacelnik – University of Oxford Jens Krause – Humboldt-Universität zu Berlin Oliver Kroemer – Carnegie Mellon University Poramate Manoonpong – Vidyasirimedhi Institute of Science and Technology Justus Piater – Universität Innsbruck Tony Prescott – University of Sheffield Pawel Romanczuk – Humboldt-Universität zu Berlin Gregor Schöner – Ruhr-Universität Bochum Dylan Shell – Texas A&M University Gaurav Sukhatme – University of Southern California Jochen Triesch – Frankfurt Institute for Advanced Studies Elio Tuci – Université de Namur Myra Wilson – Aberystwyth University Florentin Wörgötter – Universität Göttingen Program Chairs: Oliver Brock – Technische Universität Berlin Jeff Krichmar – University of California, Irvine The conference will be held at Science of Intelligence<https://www.scienceofintelligence.de/>/TU Berlin and the Universität der Künste (UDK), Berlin, Germany. We look forward to welcoming you at SAB 2026! Best regards, SAB Organizing Committee organisers(a)sab-conference.org<mailto:organisers@sab-conference.org> — Prof. Dr. Henning Sprekeler Modelling of Cognitive Processes Technische Universität Berlin Bernstein Center for Computational Neuroscience www: https://www.sprekelerlab.org

Nov. 26, 2025

23 RTAIM: "Artificial Intelligence (AI) and Traits of Integrated Psychopathy: a Comparative Analysis"

by steven gouveia

rTAIM (Rebuilding Trust in AI Medicine) Monthly Seminars Seminar #23 Artificial Intelligence (AI) and Traits of Integrated Psychopathy: a Comparative Analysis | Mariana Olezza (University of Buenos Aires, Argentina) We are happy to announce the forthcoming 23rd rTAIM Online Seminar, with the participation of Mariana Olezza (University of Buenos Aires, Argentina) on the 25th November 2025, 19h00-20h30 (Lisbon Time Zone), via Microsoft Teams. ONLINE | Link Microsoft Teams<https://teams.microsoft.com/meet/32764207191669?p=CoVDpglNlFU2nuv7PD> #Seminar 23: This talk will address the issues raised in the following structure: Chekley., (1988); Lilienfeld et al., (2015); Mathieu et al., (2014); Persson & Lilienfeld., (2019); Rahman., (2012) argue that some people might have psychopathic traits and still function in society as part of a normal life—that is, the “integrated psychopath.” This is paralleled in Large Language Models (LLMs) (Vaswani et al., 2017) and Reinforcement Learning (RL)–based recommendation systems (Nie, 2025). The behavior has its distinct set of attributes: 1) Promising users all the goods but not living up to any of them—similar to hallucinations in RL–based LLMs (Huang et al., 2023)—Users were cheered up by “flattery” (one type of hallucination). 2) These systems seem devoid of any emotions, but they mimic emotional reactions, especially positive social emotions, similarly to the way human scammers do (Wang et al., 2021), in the absence of guilt and shame 3) Chekley also includes the notion of “semantic aphasia” in this regard, or fluent speech but with no real semantic comprehension—a feature which can still be inferred in LLMs on a deeper level, although inasmuch as they have no consciousness, no moral consciousness can be inferred. Short bio: Mariana Olezza is an Argentinian Computer Engineer (National University of Córdoba), pursuing a PhD in Philosophy (University of Buenos Aires). Some research areas of interest: philosophy of AI/Mind/Psychiatry/Abduction. She recently worked at Infosys in the field of “Semantic entropy and hallucinations in LLMs” theoretically and practically. rTAIM (Rebuilding Trust in AI Medicine) Monthly Seminars are online seminars open to anyone in the world that would like to present her/his current research on topics associated with the main theme of the project. rTAIM Seminars: https://ifilosofia.up.pt/activities/rtaim-seminars https://trustaimedicine.weebly.com/rtaim-seminars.html Organisation: Steven S. Gouveia (MLAG/IF) Mind, Language and Action Group (MLAG) Instituto de Filosofia da Universidade do Porto – UID/00502/2025 Fundação para a Ciência e a Tecnologia (FCT) ____________________________________________ Instituto de Filosofia (UI&D 502) Faculdade de Letras da Universidade do Porto Via Panorâmica s/n 4150-564 Porto Tel. 22 607 71 80 E-mail: ifilosofia(a)letras.up.pt<mailto:ifilosofia@letras.up.pt> http://ifilosofia.up.pt/

Nov. 24, 2025

PhD Positions in NeuroAI at the University of Birmingham

by Jian Liu

The lab of Dr Jian Liu invites applications for several PhD positions at the interface of computational neuroscience and machine learning, at the School of Computer Science and Centre for Human Brain Health at the University of Birmingham. Candidates with a quantitative background are welcome to apply. We are seeking highly motivated candidates with a spirit of intellectual curiosity. The positions will come with competitive work conditions. Generous traveling budgets are available. The following application is approaching the deadline, while other funded projects are open for applicants. Towards a functional model for motor sequence planning Secondary Supervisor(s): Dr Katja Kornysheva <https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/kkornysheva> University of Registration: University of Birmingham BBSRC Research Themes: Understanding the Rules of Life (Neuroscience and Behaviour <https://warwick.ac.uk/fac/cross_fac/mibtp/phd/understanding_the_rules_of_li…> ) *DDL: 27/11/2025* Project Outline Motor planning, the cognitive process that precedes voluntary movement, is essential for executing skilled actions. Uncovering the neural mechanisms behind motor planning is key to understanding how the brain coordinates complex, sequential behaviours. This research will investigate the neural dynamics involved in motor planning, with an emphasis on how the brain organizes and prepares motor sequences. Previous studies suggest that neural competitive queuing of ordinal structures plays a central role in skilled sequential actions [1], allowing the brain to resolve competition between movements. Furthermore, recent research highlights the use of expansive null-space representations in motor cortex of non-human primate, which prepare movements while preventing premature execution [2]. Building on these insights, this project will explore how neural networks within the brain coordinate motor planning, focusing on exploring neural dynamics in different parts of brain areas. Human recordings conducted at the CHBH provide a rich foundation of experimental data for this study. The data, gathered through different modalities, will inform the development of a theoretical model that is consistent with both these new datasets and previously published results. The project will also involve designing new experiments based on the model’s theoretical predictions to validate or refine the proposed framework. By integrating advanced neural network models, we aim to build a comprehensive modelling framework of motor sequence planning that aligns with experimental findings. These models will provide valuable insights into human motor sequence planning, offering a deeper understanding beyond current non-human primate studies. [1] Kornysheva, et al. Neural competitive queuing of ordinal structure underlies skilled sequential action. Neuron 101, 11-15 (2019) [2] Churchland and Shenoy, Preparatory activity and the expansive null-space. Nat. Rev. Neurosci. 25 (4), 213-236 (2024) *To Apply:* https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/jliu The School of Computer Science at the University of Birmingham is one of the leading UK institutions for research and teaching in computer science. Our research is ranked 3rd across all UK universities according to the latest UK-wide Research Excellence Framework. Education is ranked 7th in the UK for computer science, according to 2023 tables. While pursuing excellence in research and education, we also aim to optimize our positive impact on society—examples include collaborations with industry partners and charities, commercialisation activities and an extensive wider participation programme. The University of Birmingham is committed to providing equal opportunities for all and offers a range of family friendly policies. We are committed to being an inclusive workplace that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees. If female candidates are selected, the maternity leave will be fully guaranteed and the children care responsibilities will be satisfied (e.g. working in part time). We will also actively promote gender equality in education and employment opportunities through workshops, seminars, webinars, and university open days.

Nov. 24, 2025

IMPRS for Language Sciences PhD Fellowships 2026

by Lam, Kevin

** IMPRS for Language Sciences PhD Fellowships 2026 ** The International Max Planck Research School (IMPRS) for Language Sciences is offering two fully-funded PhD Fellowship for four years (2026-2030) with a preferred start-date in September or October, 2026. The goal of the scheme is to enable young researchers to pursue interdisciplinary research projects in the language sciences, supervised by leading scientists at the Max Planck Institute for Psycholinguistics and its partner institutes at the Radboud University -- the Centre for Language Studies and the Donders Institute for Brain, Cognition and Behaviour. https://www.mpi.nl/ | https://www.ru.nl/cls | https://www.ru.nl/donders Find out more about the Fellowships and read first-hand accounts by our members: https://www.mpi.nl/imprs-phd-fellowships-2026 | https://www.mpi.nl/imprs Share this opportunity on LinkedIn<https://www.linkedin.com/posts/max-planck-institute-for-psycholinguistics_2…>. The application deadline is 5 January, 2026. Thanks in advance. Best wishes from Nijmegen, Dr. Kevin Lam, Graduate School Coordinator http://www.mpi.nl/imprs | https://www.mpi.nl/people/lam-kevin

Nov. 24, 2025

PhD opportunities in computational and theoretical neuroscience at Bocconi University

by Alessandro Sanzeni

Applications are open for the PhD in Statistics and Computer Science at Bocconi University (Milan, Italy). This fully funded four-year program offers an interdisciplinary environment connecting statistics, computer science, and data-driven modeling. Research in neuroscience at Bocconi combines theoretical modeling, drawing from physics and machine learning, with the analysis of experimental data to study how the brain processes information, learns, and remembers. Current projects focus on visual processing and learning mechanisms, in collaboration with experimental groups worldwide. The program is part of a vibrant research community spanning the physics of complex systems and computation, applied AI, and the foundations of machine learning, fostering rich cross-disciplinary exchange. Bocconi University is located in the center of Milan, an international city known for its active research community, cultural life, and quality of living. Further information on faculty and research areas is available on the Department of Computing Sciences website<https://cs.unibocconi.eu/>. Program details and application instructions can be found on the PhD program webpage<https://www.unibocconi.it/en/programs/phd/phd-statistics-and-computer-scien…>. Application deadline: 5 February 2026 Feel free to get in touch for informal inquiries. Alessandro Sanzeni Assistant Professor Department of Computing Sciences Bocconi University, Milan, Italy

Nov. 24, 2025

Jenny Saffran speaking on Thursday, December 4 in Developing Minds global online lecture series

by Jochen Triesch

Dear colleagues, On December 4, the Developing Minds global online lecture series is proud to host Jenny Saffran from Univ. of Wisconsin-Madison, speaking on: "Learning to understand: Statistical learning and language development“. Thursday, December 4, 2025 8:00 am CT (Central Time, USA) 2:00 pm UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/65360492761?pwd=E7EbBT8uMVWgyhBAYAJgLz33R… Meeting-ID: 653 6049 2761 Kenncode: 352501 Abstract: Infants rapidly develop from being naïve listeners, who experience language as a sea of sounds, to understanding their native language(s). How does this remarkable learning process unfold? One potentially useful source of information lies in the statistical patterns that characterize natural languages, which signal structures ranging from phonemes to words to grammatical structures. Beyond merely tracking these patterns, how might infants use statistical regularities to support language development? In my presentation, I will explore the hypothesis that infants exploit statistical regularities in the service of efficiently processing information in their linguistic environments. Short Bio: Dr. Jenny Saffran has been on the faculty of the University of Wisconsin-Madison since she received her Ph.D. in 1997. Her research program focuses on how infants learn, particularly in the domain of language. She is a highly engaged teacher and mentor to students at all levels. Dr. Saffran is the recipient of numerous awards for her scholarship and teaching, including as the inaugural recipient of the Jeffrey Elman Prize for Scientific Achievement and Community Building from the Cognitive Science Society. She was elected to the American Academy of Arts and Sciences in 2015. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

Nov. 21, 2025

Computational Neuroscience graduate training at Penn

by Maria Geffen

The Computational Neuroscience Initiative<https://www.cni.upenn.edu/> at the University of Pennsylvania offers a new program for Interdisciplinary Training in Computational Neuroscience (ITCN) at the doctoral level. The goal of the ITCN is to train a new generation of scientists who will make quantitative links between properties of the brain and properties of the mind. ITCN trainees will learn to use computational methodology to interpret experimental results, build predictive models of brain function that inform the design of the experiments, and support an ever-growing list of applications from brain-machine interfaces in the clinic to cutting-edge forms of artificial intelligence. The ITCN brings together students and faculty<https://www.cni.upenn.edu/people> from Penn’s PhD programs in Neuroscience<https://www.med.upenn.edu/ngg/> (Biomedical Graduate Studies, Perelman School of Medicine), Bioengineering<https://be.seas.upenn.edu/doctoral/> (School of Engineering and Applied Science), Physics<https://www.physics.upenn.edu/graduate/> (School of Arts and Sciences), and Psychology<https://psychology.sas.upenn.edu/graduate> (School of Arts and Sciences). To join the ITCN, students first apply to one of those "home" PhD programs. Once admitted, students then typically apply to the ITCN before starting classes in their first year. Those selected meet with the ITCN Advisory Committee, both individually and as a group, to develop individualized training plans that meet the goals and requirements of the ITCN and each student’s home program. These plans include coursework, research, and other activities that aim to build both expertise in computational neuroscience and a sense of community in the ITCN. Details are provided below. The ITCN embraces diversity and inclusion in their many forms, including welcoming students with a broad range of personal, professional, and academic backgrounds into both our training program and the field of computational neuroscience as a whole. Application. The application deadline is Dec. 1 for the Neuroscience<https://apply.med.upenn.edu/apply/>, Psychology<https://apply.graduateadmissions.upenn.edu/apply/> and Physics<https://apply.graduateadmissions.upenn.edu/apply/>, and Dec. 15 for Bioengineering<https://gradadm.seas.upenn.edu/how-to-apply/> PhD programs! Prospective PhD students must first apply and be accepted into one of our participating graduate programs: Neuroscience<https://www.med.upenn.edu/ngg/>, Bioengineering<https://be.seas.upenn.edu/doctoral/>, Physics<https://www.physics.upenn.edu/graduate/>, or Psychology<https://psychology.sas.upenn.edu/graduate> (PhD students admitted to other PhD programs at Penn may also be considered; see below for additional requirements). Students typically apply to the ITCN before starting classes in their first PhD year, although we will also consider applications from students in more advanced years who believe they will be able to meet our academic requirements. Selection into the ITCN does not require a background in computational neuroscience. Instead, we require: 1) a brief (~½ page) essay describing why you want to join the ITCN and how it would fit into your training and career plans; 2) written permission from your Graduate Chair (and, for MD-PhD or VMD-PhD students, the Director of your Combined Degree Program); and 3) if you are not in one of our four participating programs, descriptions of the funding source(s) and course and research requirements for your home PhD program. Please send your application materials, and/or any questions, to Vijay Balasubramanian<mailto:vijay@physics.upenn.edu>, Maria Geffen<mailto:mgeffen@pennmedicine.upenn.edu>, and/or Joshua Gold<mailto:jigold@pennmedicine.upenn.edu>. ________________________________ Maria Neimark Geffen, Ph.D. (she/her) Professor Co-director, Penn Computational Neuroscience Initiative Department of Otorhinolaryngology: HNS (primary) Department of Neuroscience Department of Neurology Perelman School of Medicine University of Pennsylvania 5 Ravdin 3400 Spruce St. Philadelphia PA 19104 Tel.: 215.898.0782 My zoom<https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> mgeffen(a)pennmedicine.upenn.edu<mailto:mgeffen@pennmedicine.upenn.edu> http://hosting.med.upenn.edu/hearing https://bsky.app/profile/geffenlab.bsky.social

Nov. 20, 2025

Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026.

by Auke Ijspeert

Call for posters and participation, GRC and GRS 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 schedule has been published, and a call for participation and for posters in now open, see https://www.grc.org/robotics-conference/2026/ *Please apply soon, as the total number of participants is limited*.*December 14 is the final deadline, but the remaining seats will likely be assigned by then.* Note also the Robotics Gordon Research Seminar (GRS) that takes place just before (Jan 10-11) and that provides a unique forum for young doctoral and post-doctoral researchers to present their work, https://www.grc.org/robotics-grs-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./ / *Confirmed speakers:* Alin Albu-Schaeffer Nora Ayanian Spring Berman Oliver Brock Rod Brooks Bingni Brunton Henrik Christensen Kenji Doya Nadia Figeroa Josie Hughes Marco Hutter Monroe Kennedy Dan Koditschek Cecilia Laschi Yasemin Ozkan-Aydin Tony Prescott Amanda Prorok Daniela Rus Giulio Sandini Stefan Schaal Claire Tomlin Kotaro Yasui *Confirmed 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 -----------------------------------------------------------------

Nov. 20, 2025

Postdoc position in computational NS - Ruhr University Bochum, Germany

by Vinita Samarasinghe

*Position as Postdoctoral Scholar in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches, including biological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a talented *Postdoc* to join our team, someone whose primary task will be developing advanced algorithms to analyze learning dynamics. You will be analyzing neural, psychophysiological, and behavioral data from other projects within the SFB 1280 (https://sfb1280.ruhr-uni-bochum.de/en/home/ project F01) to compare learning dynamics across individuals, species, and paradigms. You will provide theoretical support to collaborating projects and coordinate the analysis of the data collected from experimental groups. This position is 100% at TV-L E13, starting on 01.03.2026, and is funded until 30.06.2029. *Your Profile:* Candidates must have: * an excellent doctoral degree in neuroscience, physics, mathematics, engineering, or a related field (mandatory) * competence in mathematical modeling (mandatory) * excellent programming skills, e.g., Python (mandatory) * relevant research experience in neuroscience or a related field is required * experience in the study of learning dynamics * experience working within a collaborative research group * excellent communication skills in English, and * team spirit. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare can be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. We strongly encourage applications from qualified women and persons with disabilities. The official posting for this position can be found at https://jobs.ruhr-uni-bochum.de/jobposting/ca74ad0f5c0f99ec276b0d6ca56195d5… To apply please submit an application via our online portal https://jobs.ruhr-uni-bochum.de/en/jobposting/ca74ad0f5c0f99ec276b0d6ca5619… Upload your letter of motivation, CV, transcripts and research statement. *Application deadline:* 01.01.2026 Please feel free to get in touch with me if you have any questions. Vinita Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0)234 32 27996 Mobile: +49 (0)1512 7278698 Email: samarasinghe(a)ini.rub.de

Nov. 20, 2025

[Meetings] Deadline reminder: 2026 Nengo Summer School Call For Applications

by Madeleine Bartlett

Dear colleagues, Please note that the deadline for application submission to the Nengo Summer School, December 22nd, 2026, is approaching. All details about this school can be found online at https://www.nengo.ai/summer-school The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 11th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/hHwIryt053M?si=N70eVlC3Sm_2sDy5 We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: December 22nd, 2026*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, creating models to account for neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. BrainDrop, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * build models to account for anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * neurally implement vector symbolic architecture algorithms * and much more… Date and Location: May 31st to June 12th, 2026 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact: Madeleine Bartlett: madeleine.bartlett(a)uwaterloo.ca<mailto:madeleine.bartlett@uwaterloo.ca> Kathryn Simone: kpsimone(a)uwaterloo.ca<mailto:kpsimone@uwaterloo.ca> The school is partly supported by ABR, Inc. We look forward to hearing from you! Maddy she/her Postdoctoral Fellow University of Waterloo email: m2bartle(a)uwaterloo.ca

Nov. 20, 2025

Postdoc and Senior Researcher Positions in Computational Neuroscience at IBS, South Korea

by Sungho Hong

The computational neuroscience research group at the Center for Memory and Glioscience, Institute for Basic Science (IBS), Daejeon, South Korea is seeking highly motivated researchers for two open positions, a postdoctoral researcher and senior researcher. Our group studies the biophysical basis of neural information processing through computational modeling, with particular emphasis on developing neuroscience-inspired machine learning/AI (neuroAI) models to analyze and model neuroscience data. We are big fans of physiological mechanisms and investigate how they collectively define the functions of neural systems underlying intelligent behavior. Currently, our research projects focus on the cerebellar neural circuit and its adaptive computation: · Computations for flexible movement control via the population activity of cerebellar neurons · Efficient construction of large-scale, physiologically realistic computational models of neural circuits · Modeling neuro-glia interactions and their impact on behavior We carry out these projects in close collaboration with experimental labs both within our Center and abroad, providing rich opportunities for integrative research. We are also next door to top-notch experimental laboratories in our Center and have various opportunities for scientific exchange also with other members of a vibrant neuroscience community in South Korea. We are stably supported internally by IBS, a South Korean government initiative for excellence in basic science research. For more information, please check out the Center (https://centers.ibs.re.kr/html/ccs/science/science_020101.html#research_05) and PI homepage (https://shhong.github.io) Successful candidates will hold a PhD in neuroscience or related quantitative fields (Physics, Mathematics, Computer Science, etc.), with strong interest in understanding neural systems through computational approaches. We are committed to welcoming applicants of all ethnicities, genders, sexual orientations, religions, etc. For more information and how to apply, please check out our official posting at https://ibs.re.kr/prog/recruit/eng/sub04_01/view.do?idx=2007. Please note that the deadline is soon — December 1, 2025. For further inquires, please send an email to sunghohong(a)ibs.re.kr. Best regards, Sungho — Sungho Hong Center for Memory and Glioscience Institute for Basic Science 55 Expo-ro, Yuseong-gu Daejeon 34126 South Korea

Nov. 20, 2025

Open Position - Postdoctoral Research Fellow in Brain Plasticity (Blindness/Deafness) - Washington DC

by Ella Striem-Amit

Dear Colleagues, Could you please post the following ad for a postdoctoral research fellow position in my lab? Thanks! Ella *____* *Postdoctoral Research **Fellow in Brain Plasticity (Blindness/Deafness)* *Sensory & Motor Plasticity (SAMP) Lab — Georgetown University, Washington, DC* The SAMP Lab (PI: Ella Striem-Amit) investigates how experience shapes brain organization by studying people born with blindness, deafness, or without hands, using behavioral paradigms, computational methods, and state-of-the-art fMRI analyses. For more information, see samp-lab.facultysite.georgetown.edu <https://samp-lab.facultysite.georgetown.edu/research>. We seek a Postdoctoral Fellow to lead projects on individual differences in brain plasticity in congenital blindness or deafness. This includes testing how lived experience and compensatory strategies shape neural organization. *Required qualifications* - PhD (by start) in Neuroscience, Psychology, Cognitive Science, CS/EE/BME, or related fields. - Demonstrated fMRI expertise and solid statistics. - Strong programming skills (MATLAB, Python, or R). - *Preferred (but not required)* - Experience with brain plasticity, multisensory processing or development - Experience working with special populations and inclusive research practices. *Appointment & compensation* - Start window: Spring–Summer 2026 (flexible). - Initial term: 2 years, with the possibility of extension based on performance and funding. - Salary per NIH/Georgetown guidelines; full benefits. - The position is not limited to US citizens. *To apply* Apply - Interfolio <https://apply.interfolio.com/177838> Review begins Dec 1, 2025 and continues until the position is filled. *Diversity & inclusion* We welcome applicants from all backgrounds and are committed to an inclusive, accessible research environment. Georgetown University is an equal opportunity employer. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity (SAMP) Lab Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu/

Nov. 19, 2025

Workshop on Canonical Cortical Computations

by Allison Ong

Simons Foundation Now Accepting Applications for Workshop on Canonical Cortical Computations The Center for Computational Neuroscience (CCN) <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> at the Flatiron Institute and the Simons Foundation Neuroscience Collaborations <https://www.simonsfoundation.org/neuroscience/> invite applications to participate in a workshop aimed at developing a potential collaborative project focused on a mechanistic understanding of canonical cortical computations at the circuit level. The workshop will be held April 27–28, 2026, at the Simons Foundation’s offices in New York City. This workshop represents a new model for fostering large-scale scientific collaborations between CCN researchers and external scientists. We particularly encourage applications from experimentalists working in rodent and/or nonhuman primate models. While the envisioned collaborative project will primarily support external experimental work, theoretical and computational neuroscientists are also welcome to apply. For decades, efforts to fully understand canonical cortical computations were slowed by limited descriptions of cell types and connections, technical barriers to measuring and perturbing circuits in vivo and the abstract nature of theoretical models. Thanks to advances in anatomy, biophysics, connectomics, developmental biology and circuit-level tools, as well as powerful new computational and theoretical approaches, researchers are now poised to build and test models that more faithfully capture the function of canonical cortical circuits. We believe this will be possible only through a highly collaborative, vertically integrated partnership between theorists and experimentalists working together to build a framework for thinking about canonical circuit computations in the cortex. Approximately 30 workshop attendees will be selected from these applications. Participation in this workshop is not a guarantee of inclusion in a potential collaborative project or future funding. To apply, please submit your biosketch and a one-page statement describing your scientific expertise, how it connects to the scientific vision outlined above and what unique perspectives or contributions you will bring to the discussions. Apply here <https://form.jotform.com/apschaffer/application-cortical-computations> by January 5, 2026, at 5 p.m. ET. https://form.jotform.com/apschaffer/application-cortical-computations You will be notified by February 27, 2026, if you are selected to attend. For questions or issues with this application, please contact corticalcomputations(a)simonsfoundation.org.

Nov. 19, 2025

PhD position in computational neuroscience/brain physics in Oslo

by Gaute Einevoll

A three-year position as PhD Research Fellow in computational neuroscience/brain physics is available at the Department of Physics at the University of Oslo. Starting date as soon as possible, and preferably no later than March 1, 2026. The position is funded by EU Horizon and part of the Marie Sklodwoska-Curie Doctoral Network NeuroNanotech<https://neuronanotech.eu/the-network/>: ‘Integrating Nanotechnology and Neurocomputational Modeling for Advanced Brain Interfaces’. The NeuroNanotech project aims to develop next-generation neurotechnological tools by integrating computational and experimental approaches to understand how nanoscale materials and electromagnetic interactions affect brain function. The PhD project will focus on biophysical modeling of electrical and magnetic brain signals and the mechanisms through which externally applied fields influence neural dynamics. The deadline for application is December 9th. Further info about the position and info on how to apply, see: https://www.jobbnorge.no/en/available-jobs/job/290338/phd-research-fellow-i… For further inquiries, send an email to Gaute.Einevoll(a)nmbu.no. Best regards Gaute ******************************* Professor Gaute T. Einevoll Department of Physics, Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway theoretical neuroscience podcast: theoreticalneuroscience.no<https://theoreticalneuroscience.no> popular science podcast: vettogvitenskap.no<https://vettogvitenskap.no> popular science podcast (English only): vettogvitenskap.no/senseandscience<https://vettogvitenskap.no/senseandscience> Co-author of "Electric Brain Signals": www.cambridge.org/electricbrainsignals<http://www.cambridge.org/electricbrainsignals> Co-author of "Principles of computational modeling in neuroscience" (2nd ed): www.cambridge.org/sterratt2<http://www.cambridge.org/sterratt2/> mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no<mailto:Gaute.Einevoll@nmbu.no>, Gaute.Einevoll(a)gmail.com Twitter: @gauteeinevoll Blue Sky: @gauteeinevoll.bsky.social Zoom: https://nmbu.zoom.us/my/gauteeinevoll “If you sleep in a democracy, you may wake up with a dictator.”

Nov. 19, 2025

🧠 [Meetings] Call for Participation – NeuroDesign in HRI Student Design Competition (Online, Nov. 19)

by NeuroDesign in HRI

Dear Colleagues and Friends, You are warmly invited to join us tomorrow, November 19, for the "NeuroDesign in Human-Robot Interaction (HRI) Student Design Competition" – an online event showcasing innovative, brain-centered HRI projects from talented student teams around the world. 🎓🧠🤖 * Event Time (Online via Zoom) * November 19 (Wednesday) * 9:00 AM (PST) * 12:00 PM (EST) * 6:00 PM (Central European Time) * Final Teams: https://www.neurodesign-hri.ws/2025#final_round_2025 * Zoom Link to Join: https://us06web.zoom.us/j/8288339627?pwd=fgwx5yKYj4GmaacZg610ORpXydatob.1&o… During the competition, each finalist team will give a 5-minute pitch followed by a 2-minute Q&A, highlighting how their designs integrate neuroscience, HRI, assistive/wearable robotics, and human-centered innovation. 🌟 Most Popular Project in HRI NeuroDesign Award – Open for Public Voting In addition to the jury awards, we are also hosting a "Most Popular Project in HRI NeuroDesign Award", decided by "public vote". * Voting opens at the "start of the competition" * Voting remains open for 24 hours * You can vote for your favorite project directly via our website (voting link will appear on the same finals page) Please welcome to join the live session and cast your vote to support your favorite projects! Warm regards, The NeuroDesign in HRI Team 🧠 NeuroDesign in Human-Robot Interaction EXPO & Competition

Nov. 18, 2025

Graduate student positions in Systems Neuroscience (Masset Lab)

by Paul Masset

Graduate student positions in systems neuroscience at McGill University: The Masset lab, located at McGill University in Montréal, is recruiting 1-2 graduate students in experimental systems neuroscience for a start in Fall 2026. The research group integrates ideas and methods from systems neuroscience, experimental psychology and machine learning to understand how the heterogeneity of neuron types endows brain circuits with efficient distributed computations underlying behavior and cognition. We develop and experimentally validate new models of distributed computation in brain circuits including a new understanding of how dopamine-based distributed reinforcement learning could be implemented in the brain. To answer these questions, we perform large scale electrophysiological recordings in rodents performing complex behavioral tasks, build new data analysis tools and develop new classes of biologically plausible neural networks. Projects would investigate how brain circuits implement distributed computations underlying cognition and behavior within and across brain areas, including dopamine-based RL. Experimental approaches would involve refining and developing complex cognitive tasks in rats, chronic multi-site Neuropixel recordings, and advanced computational methods. The students would work on the experimental side of the lab but would closely collaborate with the computational and theoretical side of the research group to test models of distributed computation and develop and validate new data analysis methods. Students would also join a strong community at the intersection of neuroscience and AI at McGill and Mila. Coding experience (Python/Matlab) is essential and experience in animal research strongly preferred. Students are encouraged to apply via both the Psychology program: https://www.mcgill.ca/psychology/graduate and the Integrated Program in Neuroscience: https://www.mcgill.ca/ipn/prospective IPN application are reviewed on a rolling basis but applying by the Dec 1st deadline to both programs is strongly preferred. -------- Paul Masset Assistant Professor, Department of Psychology, McGill University Associate Academic Member, Mila - Quebec Artificial Intelligence Institute paul.masset(a)mcgill.ca<mailto:paul.masset@mcgill.ca> || https://massetlab.org/

Nov. 16, 2025

Visit Open Brain Institute at SfN 2025 for Live Virtual Lab Demos

by Darshan Mandge

Experience our latest Virtual Labs for simulation neuroscience — live at SfN 2025! Our team will be at Booth #3631, and we’d love to meet you there. Stop by to explore our new Virtual Labs, watch live demos, and see how our open, AI-powered platform is helping researchers accelerate neuroscience discovery. ️🗓️ From Sunday 16 to Wednesday 19 Nov – 30 minute sessions 📍 Booth #3631<https://s19.a2zinc.net/clients/sfn/sfn25/Public/EventMap.aspx?EventId=4&Map…> 𝗖𝗵𝗲𝗰𝗸 𝗼𝘂𝘁 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗴𝗲𝗻𝗱𝗮 🌐 https://www.openbraininstitute.org/sfn-2025 Morning (4) & Afternoon (4) Sessions: • Explore & AI: 09:30 – 10:00 / 13:00 – 13:30 Explore Datasets Interactively and Reveal Hidden Patterns Through AI-Driven Insights • Simulate: 10:00 – 10:30 / 13:30 – 14:00 Simulate, Test and Analyze Microcircuits to Study Emergent Network-Level Behaviors • Modeling: 10:30 – 11:00 / 14:00 – 14:30 Model Single Neurons and Synaptomes to Visualize Function and Structure • EM Skeletonization: 11:00 – 11:30 / 14:30 – 15:00 Generate EM Skeletonized Morphologies & Run Notebooks Best regards, The Open Brain Institute Team https://www.openbraininstitute.org/

Nov. 15, 2025

Assistant Professor Position at Bocconi University

by Nicolas Brunel

The Department of Computing Sciences at Bocconi University invites applications for a Tenure Track Assistant Professor position. The new department of Computing Sciences, created four years ago and in a phase of rapid expansion, is an interdisciplinary department with leading international researchers in various fields including Theoretical Computer Science, Machine Learning Theory, Statistical Physics Modeling, Natural Language Processing, Computational Neuroscience, Computer Vision, as well as biomedical applications. In terms of teaching, the department has recently opened a bachelor in AI, a master in AI, and is strongly involved in the PhD program in Statistics and Computer Science. It has a strong core in theory and applied CS, and aims at broadening its portfolio, in particular towards applications of machine learning not yet currently represented. We are looking for outstanding candidates, curious and open to collaborations with colleagues from other fields. In principle the position is to be filled by 1st September 2026, but if necessary, the starting date could be delayed to 1st February 2027. Bocconi University is an amazingly vibrant academic community with leading academics in various fields. It is located in central Milan, Italy, offering undergraduate, graduate, PhD, MBA and Executive programs. *Qualifications* Applicants should have a Ph.D. in Computer Science or closely related areas, and should demonstrate the capacity for exceptional research achievement and the ability to teach effectively in undergraduate, masters, MBA and PhD programs. Experienced candidates should have an established track record of successful research and teaching. * Job information* The successful candidates will be expected to develop a strong publication record, broadly contribute to the academic life of the department and be effective teachers both at the undergraduate and graduate level. Compensation and teaching load will be competitive with other top European Schools. The contract will last for 6 years, with the possibility of becoming permanent after a successful tenure process. For additional information concerning the Department of Computing Sciences visit https://cs.unibocconi.eu/. Further details on the position may be requested from faculty(a)unibocconi.it. *How to apply* Applications including a CV, Research Statement and copies of recent publications (up to 5), plus 3 references must be submitted online at https://jobmarket.unibocconi.eu/?id=870. *Closing date* Applications must be received by 16th December 2025 and candidates will be interviewed online. Bocconi University is committed to increasing the diversity of its faculty. Applications are particularly welcome from women and members of groups who are under-represented in academic posts.

Nov. 15, 2025

Free Python Course for Neuroscientits

by Fabrizio Damicelli

Dear Community, I'd like to share this short, hands-on Python Course oriented to early stage PhD students in Neurosciences: ✅ Core concepts explained in simple words ✅ Software engineering best-practices (uv, error handling, testing, etc.) ✅ References to deepen your knowledge (talks, books, cheatsheets, etc.) ✅ Exercises for each chapter to ramp up your skills with deliberate practice ✅ Integrative “Labs” with real-world brain datasets (OpenNeuro) Check it out, it's free! https://fabridamicelli.com/python-course/ Best Regards, Fabrizio Damicelli

Nov. 14, 2025

CRCNS 2025 PI's meeting streaming

by Garrison Cottrell

The 2025 CRCNS meeting will be streamed starting this morning at 9:00AM Pacific time.The schedule is here. <https://inc.ucsd.edu/events/crcns/2025/program.php> The zoom link is here <https://ucsd.zoom.us/j/94307323129>. Most of it will be recorded, so no FOMO. cheers, Gary Cottrell --- Gary Cottrell 858-534-6640 FAX: 858-534-7029 Computer Science and Engineering 0404 IF USING FEDEX INCLUDE THE FOLLOWING LINE: CSE Building, Room 4130 University of California San Diego - 9500 Gilman Drive # 0404 La Jolla, Ca. 92093-0404 Email: gary(a)ucsd.edu Home page: http://www-cse.ucsd.edu/~gary/ Schedule: http://tinyurl.com/b7gxpwo "It is not clear there has ever been, in the history of science, an implemented computational system that achieves such accuracy, but which is dismissed by a field which has failed to develop even remotely comparable alternatives." -Steven T. Piantadosi, on Chomsky and LLMs. Power to the people! —Patti Smith Except when they’re delusional —Gary Cottrell This song makes me nostalgic for a memory I don't have -- Tess Cottrell *All Watched Over by Machines of Loving Grace* I like to think (and the sooner the better!) of a cybernetic meadow where mammals and computers live together in mutually programming harmony like pure water touching clear sky. -Richard Brautigan

Nov. 13, 2025

ICPRAI 2026: Special Session on Frontiers of Artificial Intelligence for Medical Applications: Models, Reasoning, Perception, and Interaction

by Ghazaleh Khodabandelou

Special Session on Frontiers of Artificial Intelligence for Medical Applications: Models, Reasoning, Perception, and Interaction ICPRAI 2026, Montréal, Québec, Canada, June, 2026 https://icprai2026.com/ Scope Artificial intelligence has seen remarkable progress in digital healthcare across areas such as learning algorithms, knowledge representation, perception, and interaction. From deep learning advances in vision and language, to reinforcement learning for control, to symbolic and neuro-symbolic hybrids for robust reasoning, modern AI systems are increasingly capable of understanding complex data, adapting to new tasks, and interacting with humans and environments. This Special Session invites original contributions that explore foundational models, architectures, and applications spanning the AI spectrum, including but not limited to learning and representation; planning and decision-making; perception and multimodal understanding; human-AI collaboration; and trustworthy, explainable, and ethical AI. We welcome theoretical analyses, novel algorithms, system implementations, and domain-specific studies that illustrate state-of-the-art techniques and future directions in AI, with special encouragement for work in large language models, multimodal vision-language modeling, and impactful applications in healthcare and medical domains such as medical imaging, autism detection, neurodegenerative disorders (e.g., Alzheimer’s and Parkinson’s), and diabetes management. Topics of Interest Topics of interest include, but are not limited to: • Large Language Models (LLMs) and foundation models • Embeddings, representation learning, and transfer learning • Generative modeling: GANs, VAEs, diffusion and beyond • Multimodal integration: vision-language, audio-visual, sensor fusion • Symbolic, neuro-symbolic, and hybrid reasoning systems • Automated planning, scheduling, and decision-theoretic frameworks • Reinforcement learning, multi-agent systems, and control • Human-AI collaboration, mixed-initiative interfaces, and personalization • Explainability, interpretability, causal analysis, and fairness • Robustness, safety, trustworthiness, and privacy-preserving AI • Healthcare and medical AI applications: imaging, diagnostics, chronic care 1 Important Dates • Full paper submission deadline: January 15, 2026 • Notification of acceptance: March 7, 2026 • Camera-ready deadline: March 13, 2026 • Early Registration deadline: until April 30, 2026 • Special Session at ICPRAI: June 15-18, 2026 Submission Guidelines Please follow the standard ICPRAI submission instructions at the conference website. When up loading your paper, select “Frontiers of Artificial Intelligence for Medical Applications: Models, Reasoning, Perception, and Interaction ” as the target session. Organizers • Prof. Ghazaleh Khodabandelou, University Paris-Est, France ghazaleh.khodabandelou(a)u-pec.fr<mailto:ghazaleh.khodabandelou@u-pec.fr> • Prof. Mounîm A. El Yacoubi, Institut Polytechnique de Paris, France mounim.el_yacoubi(a)telecom-sudparis.eu<mailto:mounim.el_yacoubi@telecom-sudparis.eu>

Nov. 12, 2025

[ICANN 2026] 1st CALL FOR PAPERS, SPECIAL SESSIONS, WORKHOPS AND TUTORIALS

by davide.rigoni.1＠unipd.it

====================================================================== ICANN 2026 - CALL FOR PAPERS, SPECIAL SESSIONS, WORKHOPS AND TUTORIALS ====================================================================== On behalf of the ICANN 2026 Organizing Committee, it is our great pleasure to invite you to the 35th International Conference on Artificial Neural Networks ICANN 2026, one of the premier conferences in the field of artificial intelligence, neural networks, neuroscience and brain-inspired computing in Europe, organized in collaboration with the European Neural Network Society (ENNS). ICANN 2026 will be held in Padua, Italy, one of the most charming and dynamic towns in Italy. It is located in the Veneto region, in Northern Italy. The historical center boasts a wealth of medieval, renaissance and modern architecture. Here a fascinating mix of historic and new, of centuries-old traditions and metropolitan rhythms creates a unique atmosphere. The medieval palaces, churches and cobbled streets emanate a sense of history. Padua features rich historical and cultural attractions, such as “Prato della Valle”, the largest square in Europe; the famous Scrovegni Chapel painted by Giotto; the Botanical Garden that is a UNESCO World Heritage; the University of Padua, that is the second oldest university in Italy (1222) with more than 800 years of history. Conference Dates: September 14 to September 17, 2026 Conference Venue: Conference center of the School of Psychology, University of Padua, Italy Conference Webpage: https://e-nns.org/icann2026/ General Chairs: Alessio Micheli (University of Pisa, Italy) Nicolò Navarin (University of Padua, Italy) Alessandro Villa (University of Lausanne, Switzerland) ICANN 2026 aims to be a transformative event with the dual track of Artificial Intelligence & Deep Learning and Neuroscience, encouraging cross-disciplinary collaboration among researchers, practitioners, and industry experts. The event will feature cutting-edge research presentations and keynote talks by leading experts, continuing its tradition as a global dynamic and interactive forum bridging academia and industry. ====================================================================== Prospective authors are invited to submit original contributions of up to 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. The technical program, including special sessions, workshops and keynote talks covers almost all facets of Artificial Intelligence, Deep Learning and Neuroscience. Topics of interest include, but are not limited to: - AI and Machine Learning: - Theory and Foundations of Neural Networks - Novel Neural Network Architectures - Topics in Neural Networks - Large Language Models - Explainable AI - Machine Learning for Graphs - Graph Neural Networks - Clustering and Reinforcement Learning - New Topics in Artificial Intelligence and Machine Learning - Neurorobotics - Neuroscience: - Theoretical/Computational Neuroscience - Cognitive Neuroscience - Brain-Inspired Computing - Spike Trains Neural Decoding - Functional Neuroimaging - Neuromorphic Systems - Digital Twins and Virtual Brain Models - Applications - AI in Drug Discovery - Human-Computer Interaction - Biosignal Processing - Medicine and Physiology - Speech and Language Processing - Computer Vision - Robotics - Climate and Environment - General Applications of Machine Learning CONFERENCE COMMITTEE General Chairs: - Alessio Micheli (University of Pisa, Italy) - Nicolò Navarin (University of Padua, Italy) - Alessandro Villa (University of Lausanne, Switzerland) Program Chairs: - Luca Pasa (University of Padua, Italy) - Alessandra Lintas (University of Lausanne, Switzerland) - Igor Tetko (Helmholtz Munich, Germany) Submission Chair - Linas Petkevičius (Vilnius University, Lithuania) Publication Chair - Domenico Tortorella (University of Pisa, Italy) Workshop and Special Session Chairs - Luca Oneto (University of Genoa, Italy) - Valerie Vaquet (Bielefeld University, Germany) Social Media Chairs - Giovanna Maria Dimitri (University of Milan, Italy) - Alessandro Dipalma (University of Pisa, Italy) Diversity and Inclusion Chair - Roseli S. Wedemann (Universidade do Estado do Rio de Janeiro (UERJ), Brazil) Communication Chairs - Davide Rigoni (University of Padua, Italy) - Matteo Zavatteri (University of Padua, Italy) Local Arrangements Chairs - Merylin Monaro (University of Padua, Italy) - Andrea Zangrossi (University of Padua, Italy) Volunteers Coordinator - Giovanni Donghi (University of Padua, Italy) IMPORTANT DATES - Deadline for full paper and abstract submission: 16 March 2026 - Final notification of Acceptance or Rejection: 29 may, 2026 - Camera-ready paper upload and author registration: 29 June 2026 For questions, please contact: icann2026(a)e-nns.org

Nov. 12, 2025

Neurotech School 2026: Registrations are now open

by Blaise Yvert

Dear Colleagues, We are pleased to announce that the third edition of the Neurotech School will take place in Aussois from March 15 to March 20, 2026. The program and registration page can be found at the following link : https://neurotech2026.sciencesconf.org/ As in previous years, the number of available seats will be limited. For any question, feel free to contact Salma Mezzi in cc of this message. We look forward to your participation and to welcoming you in Aussois. Kind regards, Blaise for the local organizing committee.

Nov. 12, 2025