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AIces 2026: early registration February 21st
by David Silva - IRDTA Feb. 7, 2026

Feb. 7, 2026

****************************************************** 1st INTERNATIONAL SCHOOL ON THE COGNITIVE, ETHICAL AND SOCIETAL DIMENSIONS OF ARTIFICIAL INTELLIGENCE AIces 2026 Porto – Maia, Portugal March 30 – April 2, 2026 https://aices.irdta.eu/2026/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice – IRDTA Luxembourg/London ****************************************************** Early registration: February 21st, 2026 ****************************************************** SCOPE: AIces 2026 will be the first in a series of research training events aiming at updating participants on the most recent multidisciplinary discussions about the foundations, meaning, challenges and risks of AI. The event will have a global scope along 3 thematic lines: cognition, ethics, and society. It will cover current debates about: AI and philosophy of mind; cognitive architectures; machine learning and cognitive development; large language models and visual information; robotics and embodied cognition; neuroscience-inspired AI; algorithmic bias and fairness; transparency and explainability; accountability and responsibility; privacy and surveillance; autonomy and control; AI impact on human values and social inequalities; the future of work and automation; governance, regulation and public policies; AI, human rights and democracy; AI and global development; information and AI education. The event will consist of 10 courses, 2 keynote lectures, 3 symposia collecting short contributions from participants, and 2 individual presentations on debated topics. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, AIces 2026 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: AIces 2026 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Castêlo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. KEYNOTE SPEAKERS: David Danks (University of Virginia), Trustworthy AI in an Untrustworthy World Ming Lin (University of Maryland), Socially Responsible and Trustworthy AI PROFESSORS AND COURSES: Ricardo Baeza-Yates (KTH Royal Institute of Technology & Pompeu Fabra University), [introductory] Introduction to Responsible AI Susan Brennan (Stony Brook University), [introductory/advanced] Where Are the Humans in Human-Centered AI? Thomas Breuel (Nvidia Research), [introductory] Facts and Rules in LLMs Carlos Castillo (Pompeu Fabra University), [introductory] Algorithmic Fairness in High-Risk AI Applications Alan Dix (Cardiff Metropolitan University), [introductory] AI for Social Justice Elia Formisano (Maastricht University), [introductory/intermediate] Auditory Cognition in Humans and Machines Marijn Janssen (Delft University of Technology), [introductory/advanced] Data and AI Governance - From Control to Trust Christian Lebiere (Carnegie Mellon University), [intermediate] Computational Cognitive Models of Human-AI Teaming Paul Smolensky (Johns Hopkins University), [intermediate/advanced] Symbol Processing in Transformers and Other Neural Networks Savannah Thais (City University of New York), [intermediate/advanced] Measurement for Safer AI SYMPOSIA: A symposium will collect 10-minute voluntary presentations on any of the 3 thematic areas of the event: cognition, ethics, and society. A 1-page abstract containing the title, authors, and summary of the presentation must be sent to david(a)irdta.eu by February 28, 2026. Only registered participants can contribute to symposia. INDIVIDUAL PRESENTATIONS ON DEBATED TOPICS: 50-minute individual presentations will be scheduled for any of the 3 thematic areas of the school: cognition, ethics, and society. A 2-page expression of interest including the topic to be debated must be sent to david(a)irdta.eu by December 30, 2025. Only registered participants are eligible for individual presentations. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://aices.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Samuel Anjos (Maia, social networks) Osheen Jain (London, communications) José Paulo Marques dos Santos (Maia, local chair) Carlos Martín-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg) José Luís Reis (Maia) Luís Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://aices.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://aices.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice – IRDTA, Luxembourg/London

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RETRACTION: Master’s Thesis Project – Recruiting a Student (Information Under Fire
by Reinoud Maex Feb. 5, 2026

Feb. 5, 2026

The authors of he advertisement “Master’s Thesis Project – Recruiting a Student: Information Under Fire: POMDP Models of Information Seeking in VR Threat Environments” have retracted their advert, which had been sent in error. Kind regards, comp-neuro moderator

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PhD position for MSCA doctoral network in the field of neuromorphic neural networks
by Robert Legenstein Feb. 5, 2026

Feb. 5, 2026

The group of Robert Legenstein at the Institute of Machine Learning and Neural Computation (IML) at Graz University of Technology (Austria) is seeking a candidate for a PhD position to research advanced training strategies for neuromorphic neural networks. For details, please see https://jobs.tugraz.at/en/jobs/d47ebc7b-f32e-11b7-f9b1-695e35cc59a0?preview… -- Dr. Robert Legenstein Univ.-Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.iml.tugraz.at/legi/ WebEx: https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ----------------------------------

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New on the VVTNS YouTube channel: Continuous representations in small, discrete circuits | Marcella Noorman University of ChicagoMarcella Noorman University of Chicago
by David Hansel Feb. 4, 2026

Feb. 4, 2026

[image: VVTNS.png] > > <https://streaklinks.com/BT7ApM4NDVkoziHWhQptf9sP/https%3A%2F%2Fwww.wwtns.on…> > 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 *Continuous representations in small, discrete circuits* lecture delivered on February 4, 2026 by Marcella Noorman University of Chicago *Abstract: *Many animals rely on persistent internal representations of continuous angular variables for working memory, motor control, and navigation. Theories have proposed that such representations are maintained by a class of recurrently connected networks called ring attractor networks. These networks rely on large numbers of neurons to maintain continuous and stable representations and to accurately integrate incoming signals. The head direction system of the fruit fly, however, seems to achieve these properties with a remarkably small network. These findings challenge our understanding of ring attractors and their putative implementation in neural circuits. In this talk, I will show analytically how small networks can overcome the constraints of their size to generate a ring attractor and are hence capable of stably maintaining an internal representation of a continuous, periodic variable. Further, I will show how ring attractors emerge in small threshold linear networks through the coordination of a discrete set of line attractors. More broadly, this work informs our understanding of the functional capabilities of small, discrete systems. *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.*

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Konstanz School of Collective Behaviour 2026 (Deadline : March 15th, 2026)
by Ahmed El Hady Feb. 4, 2026

Feb. 4, 2026

*Konstanz School of Collective Behaviour 2026* *Konstanz, Germany * *20th July 2026 – 7th August 2026 *** *Deadline to apply: March 15th, 2026* The Konstanz School of Collective Behaviour (KSCB) <https://www.exc.uni-konstanz.de/kscb/about/> will take place between 20th July – 7th August 2026 at the Cluster of Excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over three weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviours across a variety of species from cells, worms, drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behaviour will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty and tutors. The Konstanz School of Collective Behaviour is intended for graduate students, doctoral researchers, and early postdoctoral researchers. We consider applicants with strong quantitative background including but not limited to physics, computer science, mathematics and engineering. Applicants with biological and experimental background will be considered if they demonstrate in their application extensive quantitative and mathematical background as the focus of the school is quantitative study of collective behaviours. Accommodation will be provided and paid by the organizers. A limited number of travel support will be provided and a registration fee will be due (500 Euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. The submission of applications for the fourth Konstanz School of Collective Behaviour is currently open until March 15, 2026. We will inform the applicants during the month of April whether their application was successful For further information about the school and the application procedure , visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ _ *KSCB 2026 faculty : * ·Anastasia Bizyaeva ( Cornell University, USA) ·Iain Couzin ( University of Konstanz / Max Planck Institute of Animal Behavior) ·Einat Couzin-fuchs ( University of Konstanz ) ·David Garcia ( University of Konstanz ) ·Dan Gorbonos ( Holon Institute of Technology, Israel and Max Planck Institute of Animal Behavior) ·Stefan Krapitscka ( University of Konstanz ) ·Zachary Kilpatrick ( University of Colorado Boulder, USA) ·Liang Li ( Max Planck Institute of Animal Behavior) ·Yonatan Loewenstein ( Hebrew University of Jerusalem, Israel) ·Ran Nathan ( Hebrew University of Jerusalem, Israel ) ·Mor Nitzan ( Hebrew University of Jerusalem, Israel) ·Britta Renner ( University of Konstanz ) ·Allyson Sgro ( Janelia Farm Research Campus, Virginia, USA) ·Joshua Shaevitz ( Princeton University, USA) ·Ariana Strandburg-Peshkin ( Max Planck Institute of Animal Behavior) ·Katrin Vogt ( University of Konstanz ) *In case you have any questions, please contact: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de>** * All the best regards, Ahmed El Hady On behalf of the KSCB organizational committee Dr. Ahmed El Hady Principal Investigator Cluster for Advanced Study of Collective Behavior, University of Konstanz Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Master’s Thesis Project – Recruiting a Student: Information Under Fire:,POMDP Models of Information Seeking in VR Threat Environments
by Sara Ershadmanesh Feb. 4, 2026

Feb. 4, 2026

*Master’s Thesis Project – Recruiting a Student:* *Information Under Fire:*** *POMDP Models of Information Seeking in VR Threat Environments* ** **Responsible co-supervisor:*Sara Ershadmanesh* Formal supervisor:*Peter Dayan* Supervising Collaborator:*Dominik Bach (Bonn)* ** The Department of Computational Neuroscience at the Max Planck Institute for Biological Cybernetics focuses on building and testing theories and computational models of neural processing, with a particular emphasis on decision-making, learning, and representation. In dangerous or unpredictable environments, humans must decide whether to keep collecting rewards (e.g., food) or to seek information that helps them stay safe. In this project, you will analyse how people plan under threat and how they trade off explicit reward against information-seeking for safety. We have build a scenario in which biological agents forage for food and must stay clear of threats. We have also collected data from humans performing this task in virtual reality. The goal of the project is to develop computational models based on Partially Observable Markov Decision Processes (POMDPs). These models characterize belief formation about a threat‘s distance and speed, and how these beliefs guide planning in this situation. We will study both optimal behavior and heuristics computational strategies that may explain individual differences in this experiment. *What is available:* * Behavioral dataset from a VR experiment * Collaboration with researchers at the University of Bonn (VR expertise and behavioral analyses) * The active and rich environment at the Computational Neuroscience lab (supervised by Peter Dayan), where you are expected to participate in group activities as well as pursue your Master’s project. *Q**ualifications**/Experience:* * Strong programming skills are essential (Python or R) * Knowledge of POMDPs and experience implementing related models (more experience is a plus) *Student tasks:* * Improve and clean existing code * Extend POMDP model to generate optimal behavior * Compare model predictions to human behavior * Writethe Master thesis Remuneration is based on qualifications and professional experience. The Max Planck Society is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgroundsand aim for a fair hiring process—so applicants should not include a photo in their application documents. Max-Planck-Institut für biologische Kybernetik Max-Planck-Ring 8 72076 Tübingen www.kyb.mpg.de <http://www.kyb.mpg.de/>

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PhD Position: Deep Learning & EEG for Mental Health Diagnostics (Fall 2026) – Univ. of North Texas
by Korani, Wael Feb. 3, 2026

Feb. 3, 2026

Hello everyone, The Lab: The Korani Lab in the Department of Data Science at the University of North Texas (UNT) is recruiting two PhD students to start in Fall 2026. Our research sits at the intersection of Computational Neuroscience, Biomedical Signal Processing, and Explainable AI. We focus on developing diagnostic tools to predict and detect mental disorders (Major Depressive Disorder) and evaluate treatment outcomes (rTMS, SSRI) using high-dimensional EEG data. The Project: The successful candidate will work on building and optimizing custom CNN and RNN architectures to decode complex patterns in EEG signals. This is not just applying off-the-shelf models; we are developing novel optimization algorithms (e.g., Mother Tree Optimization) and fusion techniques to improve diagnostic accuracy and interpretability in clinical settings. We are looking for: * Background: BS/MS in Computer Science, Electrical Engineering, Computational Neuroscience, or a related quantitative field. * Technical Skills: Strong proficiency in Python (PyTorch/TensorFlow) and MATLAB. * Domain Knowledge: Experience with Time-Series Analysis or Signal Processing is highly desired. Prior work with EEG data is a significant plus. * Math: Comfort with linear algebra and optimization theory. Why Join? * Impact: Your code will directly contribute to tools intended for clinical use to improve mental health treatment outcomes. * Environment: UNT is a Tier 1 Research University. You will collaborate with clinical partners (including international collaborations) and have access to large-scale clinical datasets. To Apply: Please email a CV, transcripts (unofficial are fine), and a brief statement of research interests to Dr. Wael Korani ([wael.korani(a)unt.edu] Please use the subject line: "PhD Application Fall 2026 – [Your Name]". Review of applications will begin immediately and continue until the two positions are filled. Dr. Wael Korani Assistant Professor Department of Data Science University of North Texas [Link to your Faculty Profile or Lab Website]

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Call for Papers Now Open | Submit Your Work to ISCS 2026 | June 03–05, La Rochelle, France
by MOURCHID Youssef Feb. 3, 2026

Feb. 3, 2026

📢 Call for Papers – ISCS 2026 The International Conference on Complex Systems (ISCS 2026) invites researchers and practitioners to submit original contributions on all aspects of Complex Systems. Submission formats * Long Papers: up to 12 pages * Short Papers: up to 8 pages * Extended Abstracts: 3–4 pages 🗓 Submission deadline: March 2, 2026 🔗 Submit via CMT: https://cmt3.research.microsoft.com/ISCS2026/ (Please select “ISCS 2026”) 🌐 Conference website: https://iutdijon.u-bourgogne.fr/iscs/ Join us in shaping the future of Complex Systems Science and engaging with an international, interdisciplinary community. — ISCS 2026 Organizing Committee [cid:image001.png@01DC9553.F8D8E360] Youssef MOURCHID Enseignant-Chercheur UR 7527 Tel : +33 (0)7 88 33 17 65 22 B Rue du Cap Vert, 21800 Quetigny [cid:image002.png@01DC9553.F8D8E360]<https://www.facebook.com/CESIingenieurs> [cid:image003.png@01DC9553.F8D8E360]<https://www.facebook.com/CESIingenieurs> [cid:image004.png@01DC9553.F8D8E360]<https://www.youtube.com/user/groupecesi1> [cid:image005.png@01DC9553.F8D8E360]<https://www.linkedin.com/company/groupe-cesi/> [cid:image006.png@01DC9553.F8D8E360]<https://www.instagram.com/cesi_officiel/> lineact.cesi.fr<https://lineact.cesi.fr/>

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Postdoc in statistical/computational models of birdsong
by Peter Dayan Feb. 3, 2026

Feb. 3, 2026

The Computational Neuroscience lab led by Peter Dayan of the Max Planck Institute for Biological Cybernetics and the University of Tübingen, in collaboration with the Neurobiology of Vocal Communication Lab led by Lena Veit, invites applications for a Postdoc Research Fellow (m/f/d; E13 TVöD, 100%, 2 years). This role involves developing statistical and computational models for characterizing and understanding the structure of animal vocal communication, starting with the songs of the Bengalese Finch. This position is suited for researchers who have finished or are about to finish their PhD in a relevant discipline, such as computational neuroscience, cognitive (neuro-)science, machine learning, artificial intelligence, computer science, or psychology. The ideal candidate is self-motivated, comfortable with both analytic and critical thinking, and has a strong background in computational neuroscience, machine learning, or related fields. Relevant areas of expertise include computational modelling, signal processing, machine learning, and cognitive modeling. The applicant should have excellent programming skills, experience with advanced data analysis, and a strong publication record. The candidate should have a solid knowledge of the literature in relevant areas, and ideally have experience working in close collaboration with experimentalists. The working language is English; command of the German language is not necessary. What we offer: The position, initially limited to 2 years with the possibility of an extension, is part of a newly established DFG research unit "Neural Basis of Vocal Communication" (FOR 5768), which investigates, through a collaborative approach across four research sites, how vocal communication is produced, coordinated, and learned across vertebrate species by mapping and comparing the underlying neural networks. Using behavioral studies, neurophysiological recordings, and computational modeling, we aim to uncover shared principles and species-specific adaptations of vocal communication. The position will be supervised by Peter Dayan and Lena Veit. We offer remuneration in accordance with TVöD (collective wage agreement for the Public Service of the German Federal States) in addition to all the customary benefits granted to employees working in Public Services. The position is based at the Max Planck Institute for Biological Cybernetics along with the Werner Reichardt Center for Integrative Neuroscience which are both in Tübingen. There are no formal teaching duties, allowing full flexibility for conducting research. There will be opportunities to mentor and work with PhD and MSc students working on related topics. About Tübingen: Tübingen is a scenic university town on the Neckar River in South-Western Germany. The quality of life is exceptionally high, and the atmosphere is diverse, inclusive, and most locals speak English. Tübingen offers excellent research opportunities due to the University, three Max Planck institutes, the University Hospital, and Europe’s largest AI research consortium. You can find out more about Tübingen here: https://www.tuebingen.de/ How to apply: If you are interested in the position, please get in touch with Peter Dayan via email (agpd-applications(a)tue.mpg.de) enclosing your CV. For formal applications, please send a motivation letter, your CV, up to two representative publications, and the contact information of two referees as a single PDF to Susan Fischer (susan.fischer(a)tuebingen.mpg.de) The MPI for Biological Cybernetics is an equal opportunities employer. Applications of qualified women academics are especially encouraged; applications of disabled persons will be given preferential treatment to those of other candidates with equal qualifications. Preference will be given to applications received by 28th February 2026, but applications might be considered thereafter until the position is filled.

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EMBO Dendrites 2026: Abstract submission deadline extended to Feb. 9th
by marouso_velissariou＠imbb.forth.gr Feb. 3, 2026

Feb. 3, 2026

Dear Colleagues, In response to popular demand, we have extended the deadline for abstract submission until Feb. 9th, 2026. Please register and submit your abstract online at: https://meetings.embo.org/event/26-dendrites No payment is required for abstract submission. Notifications will be provided by February 28th, 2026 Registration payment due by March 15th, 2026 Potential attendees are strongly encouraged to submit an abstract as presenters will have registration priority. For more information about the conference, please refer to our web site or send email to embo2026(a)artion.com.gr We look forward to seeing you in person at DENDRITES 2026, in Heraklion, Crete, on 19-22 May 2026! The organizers, Panayiota Poirazi, Lucy Palmer, Mark Harnett -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

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Doctoral and postdoctoral studies in the neuroscience of dynamic action planning and motor control
by Andrea Green Feb. 2, 2026

Feb. 2, 2026

Doctoral and postdoctoral studies in the neuroscience of dynamic action planning and motor control Department of Neuroscience, University of Montreal Applications are invited for doctoral and postdoctoral studies in systems neuroscience in the laboratories of Andrea Green and Paul Cisek. Successful applicants will join a multidisciplinary research group studying how the primate brain controls real-time, natural behavior in dynamic environments. Different projects address how we specify and plan potential actions such as reaching under changing conditions as we move through our environment, decide between actions even during ongoing behavior, control and learn to execute movements in different behavioral contexts (e.g., body stationary vs. in motion) and integrate multisensory cues to estimate and keep track of our motion through space. Research in our group involves single- and multi-electrode neural recording experiments in non-human primates, human behavioral studies using techniques such as transcranial magnetic stimulation and galvanic vestibular stimulation, and computational modeling of the nervous system. New collaborative projects will combine use of sophisticated spatial motion systems and virtual reality environments to study naturalistic behavior in both humans and non-human primates and develop computational models of real-time action selection, planning and control. For more information, see: https://neurosciences.umontreal.ca/recherche/les-chercheurs/andrea-green/ and https://cisek.org/pavel/ Multiple positions are available. All students with a strong background in biological sciences, engineering, mathematics, computer science, physics or psychology and an interest in system-level study of the brain are encouraged to apply. Prior experience in neurophysiology, behavioral neuroscience and/or computational modeling of neural systems is highly desirable. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop theoretical models of neural systems, prepare manuscripts for publication, and participate in international conferences. Interested candidates are asked to send a curriculum vita, copies of academic transcripts, a statement of research interests and the names and contact information for two references, to Andrea Green (andrea.green(a)umontreal.ca<mailto:andrea.green@umontreal.ca>) and Paul Cisek (paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca>). Applications will be accepted until the positions are filled, but preference will be given to applications received before March 16, 2026.

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Fwd: [seminar.wwtns] World wide VVTNS series (6th season): Wednesday, February 4, 2026, at 11:00 am ET - Marcella Noorman, University of Chicago
by David Hansel Feb. 2, 2026

Feb. 2, 2026

[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 Marcella Noorman University of Chicago on the topic of *Continuous representations in small, discrete circuits* The lecture will be held on zoom on February 4, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Many animals rely on persistent internal representations of continuous angular variables for working memory, motor control, and navigation. Theories have proposed that such representations are maintained by a class of recurrently connected networks called ring attractor networks. These networks rely on large numbers of neurons to maintain continuous and stable representations and to accurately integrate incoming signals. The head direction system of the fruit fly, however, seems to achieve these properties with a remarkably small network. These findings challenge our understanding of ring attractors and their putative implementation in neural circuits. In this talk, I will show analytically how small networks can overcome the constraints of their size to generate a ring attractor and are hence capable of stably maintaining an internal representation of a continuous, periodic variable. Further, I will show how ring attractors emerge in small threshold linear networks through the coordination of a discrete set of line attractors. More broadly, this work informs our understanding of the functional capabilities of small, discrete systems. *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.*

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Accepting applications: The Brain Prize Course - Computational and Theoretical Neuroscience 2026
by Maria Neimark Geffen Jan. 30, 2026

Jan. 30, 2026

Dear Colleagues, I’m writing as a co-director of the upcoming *CAJAL Advanced Neuroscience Training Course: The Brain Prize Course - Computational and Theoretical Neuroscience 2026*, now open for applications. This intensive course is a unique opportunity for early-career researchers interested in this field. Hosted at the *Champalimaud Centre for the Unknown*, this three-week course focuses on *bridging the gap between theoretical frameworks and experimental neuroscience*. It provides intensive training in neural coding, network dynamics, and advanced data analysis, combining high-level lectures with hands-on Python-based projects to model complex brain functions and interpret large-scale neuronal datasets. 📍 *Location:* Champalimaud Centre for the Unknown, Lisbon, Portugal 📅 *Dates:* 13 - 31 July 2026 ⏳ *Application Deadline:* 27 February 2026 🔗 *Apply now:* https://form.jotform.com/Cajal_training/computational-neuro2026 *Course Directors* - *Alfonso Renart* - Champalimaud Foundation, Portugal - *Julijana Gjorgjieva* - Technical University of Munich, Germany - *Maria Geffen* - University of Pennsylvania, USA - *Omri Barak* - Technion, Israel Institute of Technology *Course Themes & Topics:* - *Neural Modeling & Dynamics*: Mastering the mathematical foundations of brain function, from single-cell biophysical models like Hodgkin−Huxley to the complex behavior of excitatory-inhibitory networks. - *Neural Coding & Data Analysis*: Learning how populations of neurons represent information using advanced computational tools like dimensionality reduction to decode large-scale neural datasets. - *Cognitive & Normative Theory*: Exploring high-level functions through Bayesian inference and reinforcement learning to understand how the brain optimizes decision-making and motor control. *Speakers include:* - Larry Abbott (Columbia University, USA) - Haim Sompolinsky (Harvard University, USA & Hebrew University of Jerusalem, Israel) - Susanne Schreiber (Humboldt University of Berlin, Germany) - Francesca Mastrogiuseppe (SISSA – International School for Advanced Studies, Italy ) - Il Memming Park (Champalimaud Foundation, Portugal) - Jakob Macke (University of Tübingen, Germany ) - Wiktor Młynarski (LMU Munich – Ludwig-Maximilians-Universität München, Germany ) - Laura Busse (LMU Munich – Ludwig-Maximilians-Universität München, Germany ) - Yiota Poirazi (IMBB–FORTH, Heraklion, Greece ) - Adrienne Fairhall (University of Washington, USA) - Agostina Palmigiano (Gatsby Computational Neuroscience Unit, UCL, UK) - Joe Paton (Champalimaud Foundation, Portugal) - Dmitri Chklovskii (Flatiron Institute, Simons Foundation, USA) - Brent Doiron (University of Chicago, USA) - Gilles Laurent (Max Planck Institute for Brain Research, Germany) - Alex Cayco Gajic (École Normale Supérieure – PSL, France ) - Rafal Bogacz (MRC Brain Network Dynamics Unit, University of Oxford, UK) ________________________________ 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 http://hosting.med.upenn.edu/hearing https://bsky.app/profile/geffenlab.bsky.social

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Postdoctoral Position in Human Brain–Computer Interfaces
by João Barbosa Jan. 30, 2026

Jan. 30, 2026

Dear all, The Neuromodulation Institute (Paris) invites applications for a Postdoctoral Researcher position (full-time, 2-year contract with the possibility of extension) to join a human brain–computer interface project led by Philippe Domenech <http://computationalbrainteam.com/en/people> (Neuromodulation Institute, Paris) in direct collaboration with João Barbosa <http://jbarbosa.org/> (Neuromodulation Institute, Paris) and Guillaume Bellec <http://guillaume.bellec.eu/> (Technical University of Vienna). The work will be carried out in the center of Paris and the newly created Neuromodulation Institute. The position is available immediately and will remain open until filled. About the Project This position is part of an interdisciplinary collaboration involving computational neuroscientists, clinicians, and engineers. The goal is to establish model-driven, multi-site stimulation experiments in human patients and move towards novel therapies for psychiatric disorders through the control of human brain dynamics via closed-loop stimulation. As an initial step toward these broader goals, the postdoctoral researcher will work with electrophysiological data collected from epilepsy patients implanted with ~124 intracranial LFP electrodes, enabling simultaneous recording and multi-site stimulation. We already collected several datasets (open-loop) and up to 4 subjects are collected per month through a national network of clinicians. The work carried out by the successful applicant will sit at the intersection of machine learning, computational neuroscience and data analyses of human intracranial electrophysiology. The medium-term ambition is to expand this work to additional patient populations, including individuals with treatment-resistant major depression and obsessive-compulsive disorder, and to incorporate recording techniques such as large-scale multi-unit activity and sub-second neuromodulation (e.g. dopamine, serotonin, noradrenaline, etc) detection using ML-augmented voltammetry. Key responsibilities include developing data-driven state-space models of neural dynamics for optimal control policies for stimulation as well as inference pipelines for predicting network responses of intracranial recordings. The position emphasizes computational modeling, theory, and algorithmic development, rather than hands-on experimental data collection. Candidate Profile We are seeking a highly motivated candidate with strong quantitative and computational skills, and demonstrated research experience in at least one of the following areas: machine learning, simulation-based inference, reinforcement learning, generative/diffusion models and dynamical systems. Required Skills and Experience - Strong scientific programming skills in Python, in particular proficiency in PyTorch, Jax or related - Demonstrated experience in machine learning - Excellent written and spoken English. - Direct experimental experience is not required. However, the successful candidate should be enthusiastic about interacting with clinicians, neurosurgeons, and patients during experimental planning and execution. Preferred but not required - Experience working with time series data, in particular intracranial recordings (LFP, ECoG, depth electrodes) in humans or other animals. We strongly encourage applications from individuals that are underrepresented in academia. What We Offer - Opportunity to contribute to multiple ongoing projects at the forefront of human intracranial research - A highly interdisciplinary research environment spanning computational neuroscience, machine learning and cognitive neuroscience - A collaborative lab culture with close mentorship from senior investigators. - Support for career development, including opportunities to co-supervise students, present at conferences and workshops - Paris has an increasingly tight network of systems and computational neuroscience and offers many possibilities for collaborations How to apply Please send a statement of your past work and future research interests (one page each), CV and at least one manuscript demonstrating required experience to palerma(a)gmail.com with the subject “Postdoctoral Position in Human Brain–Computer Interfaces”. Joao Barbosa

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Special Year on Modeling Fly Vision (forwarded from Sebastian Seung)
by Reinoud Maex Jan. 30, 2026

Jan. 30, 2026

Begin forwarded message: From: Sebastian Seung <sseung(a)princeton.edu<mailto:sseung@princeton.edu>> Could you post the attached announcement to the comp-neuro mailing list? Thanks in advance! You could also include a link to the announcement: https://www.ias.edu/sns/csb#special-year<https://www.ias.edu/sns/csb#special-year> Sebastian -------------- Subject: 2026-27 special year IAS program on Modeling Fly Vision During the 2026-27 academic year, the Simons Center for Systems Biology in the School of Natural Sciences at the Institute for Advanced Study will have a special program on Modeling Fly Vision co-organized by Misha Tsodyks (IAS) and Sebastian Seung (Princeton University). New kinds of brain maps are driving a renaissance of visual neuroscience, starting with the fruit fly Drosophila. The fly connectome yielded as a corollary the first wiring diagram for an entire visual system. Transcriptomics is identifying the ion channels and synaptic receptors in fly visual neurons. Using such detailed information, it is now possible to model the fly visual system with unprecedented realism. Our program will address the perception of motion, color, polarization, form, and objects, as well as complex visually guided behaviors such as navigation and courtship. The program promises to have historic impact by helping to refound theoretical and computational neuroscience on the bedrock of twenty-first century brain maps. Senior participants include Axel Borst (MPG), Dimitri Chklovskii (Flatiron), Damon Clark (Yale), Carina Curto (Brown), Tobi Delbruck (INI-UZH), Dezhe Jin (Penn State), and Shih-chii Liu (INI-UZH). The program will benefit from interactions with experimental research on fly neural circuits and connectomics at Princeton and other universities in the New York metropolitan area. We invite applications for membership in the special year program from researchers at all career levels. Post-doctoral membership is for one year with the possibility of extension. Postdocs receive full stipend support and are free to select their own research topics. Sabbatical membership can be from one term to the entire academic year, and is for researchers with faculty or equivalent independent positions. Partial stipend support may be available, depending on the amount of support being provided by the member’s home institution, or by an outside fellowship. The deadline for applications is rolling. We will begin reviewing applications on January 15 and continue until the positions are filled. Applicants should submit: * a CV that includes a list of publications, * and a research statement explaining interest in the topic of the special year. * Post-doctoral applicants should also request three letters of recommendation. All materials should be emailed to Audrey Smerkanich at audrey(a)ias.edu<mailto:audrey@ias.edu>. The subject line of the email should say “Special Year on Modeling Fly Vision.”

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Studies in the neuroscience of natural interactive behavior (*** TIME SENSITIVE ***)
by Paul Cisek Jan. 30, 2026

Jan. 30, 2026

Studies in the neuroscience of natural interactive behavior Department of Neuroscience, University of Montreal *** NOTE: Due to the recent announcement of the Canada Impact+ Research Training Awards, which have an extremely short time window, candidates are encouraged to contact me immediately. Inquiries received before Tuesday, February 3rd, 2006, will be given special consideration. *** Applications are invited for doctoral or postdoctoral training in systems neuroscience in the laboratory of Paul Cisek at the University of Montreal. Our lab studies the neural mechanisms of decision-making and interactive behavior using a combination of computational modeling and experimental techniques in humans and non-human primates. The successful applicant will lead innovative new experiments that examine how decisions are made during naturalistic foraging behavior. This will involve wireless multi-electrode recordings in the cerebral cortex and basal ganglia in two behavioral scenarios: 1) in a controlled virtual reality setting; and 2) during unconstrained behavior in a large enclosure equipped with cameras for automated motion capture. Depending on the trainee's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop computational models of neural systems, prepare manuscripts for publication and participate in international conferences. Prior experience in experimental and/or computational neuroscience is highly desirable, but we encourage applications from all students with a strong background in biology, psychology and/or mathematics and a passion for systems-level study of the brain. For more information, see: https://cisek.org/pavel/. Interested candidates are asked to send a curriculum vita, copies of academic transcripts, a statement of research interests and the names and contact information for two references. Please send materials by email to Paul Cisek (paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca>). Applications will be accepted until the position is filled, but preference will be given to applications received before March 6th, 2026. Paul Cisek, PhD Département de neurosciences Université de Montréal Physical: 2960 chemin de la tour, local 4117 Montréal, QC H3T 1J4 CANADA Mailing: CP 6128 Succursale centre-ville, Montréal, QC H3C 3J7 CANADA e-mail: paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca> Web: www.cisek.org/pavel<http://www.cisek.org/pavel>

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Fwd: Call for applications: PCN 2026 - Primate Cognitive Neuroscience Summer School 2026
by Igor Kagan Jan. 29, 2026

Jan. 29, 2026

-------- Forwarded Message -------- Subject: Call for applications: PCN 2026 - Primate Cognitive Neuroscience Summer School 2026 Date: Mon, 26 Jan 2026 00:20:56 +0100 From: GTPN <GTPN(a)dpz.eu> To: GTPN <GTPN(a)dpz.eu> Dear colleagues,* * I would like to draw your attention to our Summer School for Primate Cognitive Neuroscience 2026, organized by Hans Scherberger, Alexander Gail, Igor Kagan, Raymundo Báez-Mendoza, and Stefan Treue from the German Primate Center in Göttingen, taking place July 26 - August 07, 2026, in Bad Bevensen, Germany (see: http://www.dpz.eu/pcn2026) In light of the approaching deadline for application (February 28, 2026), I would be grateful if you could distribute this information to suitable PhD students and postdocs in your reach. This Summer School is for PhD students and early postdocs from the field of primate cognitive and systems neuroscience working with non-human primates and will provide an outstanding training and networking opportunity for young researchers. Teaching will focus on cognitive processes in primate sensory and motor systems as well as on social settings and decision making, and will include important and novel results and methodologies. Topics of animal welfare, ethics, and media outreach will also be covered. A poster presentation about current research of the participant is expected. Student selection is competitive! Since this School is partially funded, only a reduced participation fee is required (1000 EUR) for this 10-day course. Also, a limited number of travel grants might be available for international participants. I would be very grateful if you could forward this information to suitable PhD students and postdocs in your lab and to other labs. With best regards, Hans Scherberger (on behalf of all organizers; sorry in case of multiple postings!) -- Dr. Igor Kagan Head of Decision and Awareness Group, German Primate Center (DPZ) Kellnerweg 4, Goettingen 37077, Germany

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PhD/Postdoc opportunities | Canada Impact+ Research Training Awards
by Lyle Muller Jan. 29, 2026

Jan. 29, 2026

The Canada Impact+ Research Training Awards<https://sshrc-crsh.canada.ca/en/funding/opportunities/canada-impact-plus-re…> have been announced to recruit international or returning Canadian graduate students and postdoctoral researchers to Canada. Applications are invited for this program to work at the Fields Lab for Network Computation<http://www.fields.utoronto.ca/activities/fields-lab-network-computation> (Toronto, ON). Applicants can work with Lyle Muller (Department of Mathematics, Western University) or Roberto Budzinski (Department of Neuroscience, University of Lethbridge). Research will involve collaborations analyzing neural recordings and developing theoretical approaches to computation in neural networks. In collaboration with multi-disciplinary teams, researchers will bring together tools and techniques from data science, machine learning, and applied mathematics. The project may include intermittent travel between labs to present results and facilitate collaborative work. Recent publications from the lab include: Davis Z*, Muller L*, Martinez-Trujillo J, Sejnowski TJ, Reynolds J (2020) Spontaneous traveling cortical waves gate perception. Nature 587: 432 – 436.<https://www.nature.com/articles/s41586-020-2802-y> Benigno G, Budzinski RB, Davis Z, Reynolds J, Muller L (2023) Waves traveling over a map of visual space can ignite short-term predictions of sensory input. Nature Communications 14: 3409.<https://www.nature.com/articles/s41467-023-39076-2> Busch A*, Roussy M*, … Mináč J, Sachs AJ, Palaniyappan L, Muller L*, Martinez-Trujillo JC* (2024) Neuronal activation sequences in lateral prefrontal cortex encode visuospatial working memory during virtual navigation. Nature Communications 15: 4471.<https://www.nature.com/articles/s41467-024-48664-9> Budzinski RC*, Busch AN*, Mestern S, Martin E, Liboni LHB, Pasini FW, Mináč J, Coleman T, Inoue W, Muller L (2024) An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network. Communications Physics 7: 239.<https://www.nature.com/articles/s42005-024-01728-0> Liboni LHB*, Budzinski RC*, Busch AN*, Löwe S, Keller TA, Welling M, Muller L (2025) Image segmentation with traveling waves in an exactly solvable recurrent neural network. PNAS 122: e2321319121.<https://www.pnas.org/doi/10.1073/pnas.2321319121> Prior experience with scientific computing, signal analysis, or applied mathematics is preferred. The Universities offer an excellent research environment and support. Candidates can write to lmuller2(a)uwo.ca or roberto.budzinski(a)uleth.ca with a CV and short statement of interest. The deadline for applications to potential supervisors is 4 February 2026. -- Lyle Muller http://mullerlab.ca

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Transatlantic Behavioural Neuroscience School, Aug 11-22nd, Mikolajki, Poland
by Mateusz Kostecki Jan. 26, 2026

Jan. 26, 2026

Hello! We are happy to announce the fifth edition of our Transatlantic Behavioural Neuroscience School! This year we are coming back to Nencki Research Station in Mikołajki. We have one: to teach young researchers everything they need to design and build their own behavioural setups, conduct complex experiments and analyze their data using open software and hardware. Our school is divided in five blocks: - *3D printing*, where you will have an opportunity to learn the theory necessary to take full advantage of this technique and how to use Autodesk Fusion software to design elements of your behavioural setup - *Electronics and Arduino*, that is intended to provide the skills necessary to understand the design of devices used in behavioural research; it will also teach how to build and program such devices - among others, optogenetics laser controllers, automated doors, stimulus delivery systems and devices used for synchronizing data streams - *Bonsai* module that aims at teaching you how to use Bonsai to track your animals, conduct closed-loop experiments with Arduino and analyze your data - *Deeplabcut* *and machine learning*, where you will gain an in-depth understanding of the DL tools used in behavioural science and learn how to apply them to extract interesting information from your data - *Project* is the module where you will apply all the knowledge gained during the course to build a 3D-printed setup for studying phototactic behaviour in Drosophila, conduct experiments and analyze the data School will be also composed of a series of lectures by researchers studying animal behaviour on different model systems and with different approaches. PhD students and early-stage researchers are especially encouraged to apply. *We provide partial or full travel grants and fee waivers for participants who cannot cover the costs. *This year,*thanks to collaboration with FENS*, European students will be also able to obtain travel grants and fee waivers. Please find more info here - https://nenckiopenlab.org/tbnss2026/. Best, Mateusz Kostecki -- --- 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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World wide VVTNS series (6th season): Wednesday, January 28, 2026, at 11:00 am ET - Farzan Nadim, New Jersey Institute of Technology
by David Hansel Jan. 26, 2026

Jan. 26, 2026

[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 Farzan Nadim New Jersey Institute of Technology on the topic of *Convergent comodulation: Rules and influence on circuit output* The lecture will be held on zoom on January 28, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Neural circuits are continuously under the influence of multiple chemical neuromodulators. The prevalent view is that neuromodulation increases the flexibility of circuit output. However, different modulators can have overlapping cellular and subcellular targets, and thus convergence and occlusion may limit the repertoire of possible circuit states. We propose a complementary view that convergent comodulation may result in a more consistent circuit activity that, with increasing numbers of modulators, becomes less dependent on the specific identity of the modulators involved. We examine this hypothesis in the crustacean stomatogastric ganglion, where multiple excitatory neuropeptides activate the same ionic current and have similar effects on synapsesNeural circuits are continuously under the influence of multiple chemical neuromodulators. The prevalent view is that neuromodulation increases the flexibility of circuit output. However, different modulators can have overlapping cellular and subcellular targets, and thus convergence and occlusion may limit the repertoire of possible circuit states. We propose a complementary view that convergent comodulation may result in a more consistent circuit activity that, with increasing numbers of modulators, becomes less dependent on the specific identity of the modulators involved. We examine this hypothesis in the crustacean stomatogastric ganglion, where multiple excitatory neuropeptides activate the same ionic current and have similar effects on synapses. *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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Touch Science and Engineering NEUROBRIDGE Symposium - Feb 25, 2026
by Calogero Maria Oddo Jan. 25, 2026

Jan. 25, 2026

Dear Colleagues, we are pleased to announce the Symposium on Touch Science and Engineering, organized within the NEUROBRIDGE Winter School on Neurosciences and Neurotechnologies, which will take place on February 25th, 2026 (h. 9-18) at Sant’Anna School of Advanced Studies, Pisa, Italy (https://maps.app.goo.gl/Ny26ntUPx8ZM3vFk7) The symposium will bring together leading researchers in sensory neuroscience, bioelectronics, neuromorphic engineering, haptics, and neurotechnologies, addressing both fundamental mechanisms of touch and translational applications in robotics, prosthetics, and human-machine interaction. The scientific program includes two main sessions: * Sensory Neuroscience and Touch Engineering (h. 9-13), chaired by Silvestro Micera and Calogero Maria Oddo * Translational Applications of Touch Science and Engineering (h. 14-18), chaired by Solaiman Shokur and Mariangela Filosa Confirmed invited speakers include internationally recognized experts, such as Nitish Thakor, Johan Wessberg, Henrik Jörntell, Michela Tosetti, Maurizio Valle, Maria Cristina Dadarlat, Antonello Grippo, Alcimar Soares Barbosa, Jean Faber, Gionata Salvietti and student talks, from institutions such as Johns Hopkins University, Lund University, Purdue University, University of Gothenburg, Federal University of Uberlândia, Universidade Federal de São Paulo and leading Italian research centers and universities. Topics will range from microneurography, neuromorphic encoding, and artificial skin technologies to neural interfaces, robotic palpation, and emotional touch in human-robot interaction. The symposium aims to foster interdisciplinary discussion across neuroscience and engineering communities and to stimulate new collaborations at the interface between science, technology, clinical applications and industrial spillovers. Participation is free and open to interested researchers, students, and professionals. Please use the following link to register and indicate videoconference or in person attendance: https://forms.office.com/e/B8v16hsjaJ The symposium on Touch Science and Engineering is part of the plan of scientific and educational activities of the NEUROBRIDGE project (TNE 23-0034) on neurosciences and neurotechnologies, supported by the Italian Ministry for Universities and Research within the National Recovery and Resilience Plan, Mission 4, Component 1, Investment 3.4, Advanced university teaching and skills, Sub-measure T4 «Transnational Educational Initiatives (TNE)». We would be grateful if you could circulate this announcement within your networks. Kind regards, Calogero Maria Oddo - calogero.oddo(a)santannapisa.it Silvestro Micera - silvestro.micera(a)santannapisa.it -- Calogero M. Oddo, PhD (‪Scholar‬<https://scholar.google.com/citations?hl=it&user=y1rffgkAAAAJ&view_op=list_w…>, Scopus<https://www.scopus.com/authid/detail.uri?authorId=16176089500>) Associate Professor of Bioengineering, Sant'Anna School of Advanced Studies, Pisa, Italy https://www.santannapisa.it/en/calogero-maria-oddo http://www.santannapisa.it/en/neuro-robotic-touch-laboratory Vice-Director, Centro Interdisciplinare Linceo Giovani https://www.lincei.it/en/oddo-calogero-maria email: calogero.oddo(a)santannapisa.it<mailto:calogero.oddo@santannapisa.it> While it suits me to email now, I do not expect a reply outside of your own working hours.

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AIces 2026: early registration February 3
by David Silva - IRDTA Jan. 24, 2026

Jan. 24, 2026

****************************************************** 1st INTERNATIONAL SCHOOL ON THE COGNITIVE, ETHICAL AND SOCIETAL DIMENSIONS OF ARTIFICIAL INTELLIGENCE AIces 2026 Porto – Maia, Portugal March 30 – April 2, 2026 https://aices.irdta.eu/2026/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice – IRDTA Luxembourg/London ****************************************************** Early registration: February 3, 2026 ****************************************************** SCOPE: AIces 2026 will be the first in a series of research training events aiming at updating participants on the most recent multidisciplinary discussions about the foundations, meaning, challenges and risks of AI. The event will have a global scope along 3 thematic lines: cognition, ethics, and society. It will cover current debates about: AI and philosophy of mind; cognitive architectures; machine learning and cognitive development; large language models and visual information; robotics and embodied cognition; neuroscience-inspired AI; algorithmic bias and fairness; transparency and explainability; accountability and responsibility; privacy and surveillance; autonomy and control; AI impact on human values and social inequalities; the future of work and automation; governance, regulation and public policies; AI, human rights and democracy; AI and global development; information and AI education. The event will consist of 10 courses, 2 keynote lectures, 3 symposia collecting short contributions from participants, and 2 individual presentations on debated topics. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, AIces 2026 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: AIces 2026 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Castêlo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. KEYNOTE SPEAKERS: David Danks (University of Virginia), Trustworthy AI in an Untrustworthy World Ming Lin (University of Maryland), Socially Responsible and Trustworthy AI PROFESSORS AND COURSES: Ricardo Baeza-Yates (KTH Royal Institute of Technology & Pompeu Fabra University), [introductory] Introduction to Responsible AI Susan Brennan (Stony Brook University), [introductory/advanced] Where Are the Humans in Human-Centered AI? Thomas Breuel (Nvidia Research), [introductory] Facts and Rules in LLMs Carlos Castillo (Pompeu Fabra University), [introductory] Algorithmic Fairness in High-Risk AI Applications Alan Dix (Cardiff Metropolitan University), [introductory] AI for Social Justice Elia Formisano (Maastricht University), [introductory/intermediate] Auditory Cognition in Humans and Machines Marijn Janssen (Delft University of Technology), [introductory/advanced] Data and AI Governance - From Control to Trust Christian Lebiere (Carnegie Mellon University), [intermediate] Computational Cognitive Models of Human-AI Teaming Paul Smolensky (Johns Hopkins University), [intermediate/advanced] Symbol Processing in Transformers and Other Neural Networks Savannah Thais (City University of New York), [intermediate/advanced] Measurement for Safer AI SYMPOSIA: A symposium will collect 10-minute voluntary presentations on any of the 3 thematic areas of the event: cognition, ethics, and society. A 1-page abstract containing the title, authors, and summary of the presentation must be sent to david(a)irdta.eu by February 28, 2026. Only registered participants can contribute to symposia. INDIVIDUAL PRESENTATIONS ON DEBATED TOPICS: 50-minute individual presentations will be scheduled for any of the 3 thematic areas of the school: cognition, ethics, and society. A 2-page expression of interest including the topic to be debated must be sent to david(a)irdta.eu by December 30, 2025. Only registered participants are eligible for individual presentations. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://aices.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Samuel Anjos (Maia, social networks) Osheen Jain (London, communications) José Paulo Marques dos Santos (Maia, local chair) Carlos Martín-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg) José Luís Reis (Maia) Luís Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://aices.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://aices.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice – IRDTA, Luxembourg/London

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Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L Jan. 23, 2026

Jan. 23, 2026

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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Bio-inspired deep learning workshop 2026
by Maximilian Eggl Jan. 21, 2026

Jan. 21, 2026

Dear all, We are pleased to announce a workshop on bio-inspired deep learning led by Prof. Elisa Donati (link to her website can be seen here <https://urldefense.com/v3/__https://www.edonati.com/__;!!D9dNQwwGXtA!XP8JYw…>) from the University of Zurich and ETHZ, Zurich and funded by the support of the Joachim Herz Foundation. The workshop will take place from the 9th to the 12th of June, 2026, near Mainz, Germany. This workshop will provide attendees with a unique opportunity to learn from one of the leading experts in the field and explore the intersection of mathematical modelling, machine learning, and data analysis to understand how the brain works. We believe this workshop will be of great interest to those wishing to learn how recent advances in bio-inspired small 'shadow networks' and feature engineering allow us interface with the nervous system. Furthermore, you will learn how these systems can be used to build closed-loop hybrid artificial and biological neural processing systems. More information on the workshop and a link to the application can be linked flyer (which can be found here <https://urldefense.com/v3/__https://www.dropbox.com/scl/fi/33cjfh72go0f78d2…>). You can also directly access the application <https://urldefense.com/v3/__https://docs.google.com/forms/d/e/1FAIpQLSd_BDJ…>here <https://urldefense.com/v3/__https://docs.google.com/forms/d/e/1FAIpQLSdbLgX…>. The deadline for the application is the 2nd of March at 12:00 (CET). Accommodation, meals, and venue are all paid for by the Joachim Herz Foundation. If you have any questions or are interested in attending this workshop, please do not hesitate to contact either Max at meggl(a)umh.es <mailto:meggl@umh.es> or Pietro at verzep(a)uni-bonn.de <mailto:verzep@uni-bonn.de>. I would also be grateful if you could forward this to anyone you think would be interested and advertise it in your institutions. We look forward to seeing you there! Sincerely, Max & Pietro ******************************************** Maximilian Eggl, PhD La Caixa Junior Leader Fellow | CSIC - Spanish National Research Council Instituto de Neurociencias, CSIC/Universidad Miguel Hernandez, Alicante, Spain Web: mfeggl.github.io ********************************************

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PhD in cross-species Computational Cognitive Neuroscience at Trinity College Dublin
by Konstantinos Tsetsos Jan. 20, 2026

Jan. 20, 2026

TCD is inviting applications for a fully funded PhD position in cross-species Computational Cognitive Neuroscience, combining OPM-MEG experiments and anatomy-infused neural network modelling of cognition. Overview The purpose of this role is to undertake a PhD investigating “Cross-species mechanisms of evidence accumulation along prefrontal cortical gradients” in the Research Groups of Dr. Seán Froudist-Walsh (50%) and Prof. Konstantinos Tsetsos (50%). Mice and humans differ strikingly in evidence-accumulation behaviour: mice often integrate information optimally and with minimal leak, whereas humans show systematic recency biases. This project develops a mechanistic, cross-species account of these differences by examining how aspects of the stimulus presentation interact with prefrontal cortical architecture. The student will combine new human OPM-MEG experiments, anatomy-informed neuro-AI model development and comparative analyses across species. Training & Environment Based at the TCD Institute of Neuroscience, the PhD student will receive training in: • Experimental design, acquisition, and analysis of human OPM-MEG experiments • Neuroanatomy and physiology - Analysing prefrontal gradients across species • Computational modelling of behaviour and neural circuits • Neuro-AI model development integrating species-specific neuroanatomy The PhD student will also get the opportunity for research visits to the University of Oxford, where 50% of the Cognition, Anatomy & Neural Networks lab is based. Further Information & Application Full Job description and details of how to apply: https://www.tcd.ie/media/tcd/scss/pdfs/Job-Description---PhD-Studentship-in… If you're from a low socioeconomic background, and/or another underrepresented community, we'd love to hear from you. DEADLINE: 5/February/2026

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Open PhD position at Forschungszentrum Jülich
by Johanna Senk Jan. 20, 2026

Jan. 20, 2026

PhD Position - Multi-Scale Data-Driven Model of Synaptic Function and Resilience The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation. The position is offered in the team of Dr. Johanna Senk at the Institute for Advanced Simulation - Computational and Systems Neuroscience IAS-6, https://go.fzj.de/future-simulation-architectures in the context of the Collaborative Research Centre (Sonderforschungsbereich) 1286 https://www.sfb1286.de and in close collaboration with Universitätsmedizin Göttingen, Germany, and the University of Sussex, UK. There is also an opportunity for a research stay at the University of Sussex. For further details and instructions on how to apply, please visit: https://www.fz-juelich.de/en/careers/jobs/2026D-007 Informal enquiries about this opportunity are highly encouraged and can be sent to Dr. Johanna Senk (j.senk(a)fz-juelich.de) -- Dr. Johanna Senk Institute for Advanced Simulation (IAS-6) Computational and Systems Neuroscience Jülich Research Centre, Juelich, Germany --------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------- 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), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens --------------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------------

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Special Issue on Information Storage, Compression and Prediction in Deep Neural Networks
by Nicola Catenacci Jan. 20, 2026

Jan. 20, 2026

Dear colleagues, We invite you to submit to the special issue on "Mathematical Understanding of Information Storage, Compression and Prediction in Neural Networks" (more details can be found here: https://www.frontiersin.org/research-topics/59300) *- The journal(s) -* The special issue is hosted by (alternatively): - Frontiers in Computational Neuroscience (Impact Factor - 2.3, CiteScore - 5.0), or - Frontiers in Neuroinformatics (Impact Factor - 2.5, CiteScore - 5.5). *- Research Topic -* Regardless of their success, today, deep neural networks (NNs) are still used as a "black box", meaning the inner workings or detailed explanations of how they arrive at their output are not revealed. Currently, we still do not have the mathematical tools to fully understand the formal properties of these networks and their limitations. Improving our theoretical understanding of NNs is particularly important today, as these tools are being deployed in an increasing number of safety-critical scenarios, necessitating constant scrutiny of their behavior. The goal of the special issue is to investigate the mathematical frameworks that enable a better understanding of how information is learned and represented within a neuralnetwork, including the study of existing approaches that go in this direction. *- Call for Papers -* We invite researchers to present manuscripts focusing on the mathematical analysis of deep neural networks, including their information-theoretic interpretation and their statistical limits. The areas relevant to this special issue include, but are not limited to: - Theory of Deep Feed-forward and Recurrent NNs - Information-theoretic principles and interpretation of NNs - The Information Bottleneck and deep learning - Compression in Deep Neural Networks - The analysis of pattern and memory storage in NNs - Deep NNs for brain-inspired machine learning and biological modeling - Statistical Physics of deep neural networks - Dynamical Systems Modeling of NNs - Neural Network Dynamics and Stability - Generalization and Regularization in NNs - Learning Theory and Neural Networks - Mathematical Models of Learning and Plasticity - Neural Network Interpretability and Explainability - Energy-Based Models in Deep Learning - Neural Network Compression, Pruning, Sparsity and Efficient Computing - Mathematics of Self-Supervised Deep Learning - Optimization Landscapes and Loss Surface Analysis - Neural Network Generalization and Overparameterization - Mathematical Theories of Transformers and Attention Mechanisms - Theoretical Foundations of Transfer Learning and Domain Adaptation Manuscript Submission Deadline: 15 March 2026. *- Topic Editors -* Giorgio Gosti, Italian National Research Council (CNR), Italy ( giorgio.gosti(a)cnr.it) Nicola Catenacci Volpi, University of Hertfordshire, United Kingdom ( n.catenacci-volpi(a)herts.ac.uk) Nilesh Goel, Birla Institute of Technology and Science, United Arab Emirates *-----------------------------------* Dr. Nicola Catenacci Volpi, PhD Research Fellow in Information Theory for AI & Robotics Adaptive Systems Research Group The University of Hertfordshire Department of Computer Science College Lane Hatfield, Hertfordshire AL10 9AB United Kingdom E-mail: n.catenacci-volpi(a)herts.ac.uk

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PhD opportunities in computational & theoretical neuroscience at Bocconi (deadline 5 Feb 2026)
by Alessandro Sanzeni Jan. 20, 2026

Jan. 20, 2026

Hi all, A quick reminder that applications are open for the PhD in Statistics and Computer Science at Bocconi University (Milan, Italy). The program is fully funded (4 years) and offers an interdisciplinary environment connecting statistics, computer science, and data-driven modeling. In our group/area, research in neuroscience combines theoretical modeling (physics- and ML-inspired) with the analysis of experimental data to study how the brain processes information, learns, and remembers. Ongoing projects include visual processing and learning mechanisms, in collaboration with experimental groups worldwide. Program details and application instructions: * Department of Computing Sciences<https://cs.unibocconi.eu/> * PhD program page<https://www.unibocconi.it/en/programs/phd/phd-statistics-and-computer-scien…> Application deadline: 5 February 2026. If you know strong candidates, I’d be grateful if you could forward this note. And please feel free to reach out for informal inquiries. Best, Alessandro Sanzeni Assistant Professor Department of Computing Sciences Bocconi University, Milan, Italy

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EMBO Workshop on Dendrites and beyond: properties, function and contributions to network processing
by marouso_velissariou＠imbb.forth.gr Jan. 20, 2026

Jan. 20, 2026

DENDRITES 2026 EMBO Workshop on Dendrites and beyond: properties, function and contributions to network processing 19-22 May 2026, Heraklion, Crete, Greece https://meetings.embo.org/event/26-dendrites Dear Colleagues, We are pleased to announce the solicitation of abstracts for short oral or poster presentations at the EMBO Workshop on DENDRITES 2026, which will take place in Heraklion, Crete, on 19-22 May 2026. This is the 6th in a very successful series of meetings on the island of Crete dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries in a relaxed atmosphere that emphasizes interaction. Please register and submit your abstract online at: https://meetings.embo.org/event/26-dendrites No payment is required for abstract submission. Submissions of abstracts are due by February 1st, 2026 Notifications will be provided by February 28th, 2026 Registration payment due by March 15th, 2026 Potential attendees are strongly encouraged to submit an abstract as presenters will have registration priority. For more information about the conference, please refer to our web site or send email to embo2026(a)artion.com.gr We look forward to seeing you in person at DENDRITES 2026! The organizers, Panayiota Poirazi, Lucy Palmer, Mark Harnett -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

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[Newsletter RTAIM] 24th RTAIM Online Seminar | Call Abstract: 6th International Conference on Philosophy of Mind | 04-08 May 2025, Uni. Porto
by steven gouveia Jan. 20, 2026

Jan. 20, 2026

Dear All, You are welcome to attend the 24th rTAIM Online Seminar, with the participation of MAIRA DE CINQUE (University of Canada West, Canada), 21 January 2026, 5:00pm - 6:30pm (Lisbon Time) via Microsoft Teams with the title “Linguistic Self-Correction in the Age of AI". Link available: https://ifilosofia.up.pt/activities/seminar-24-rtaim Or: * Link: https://teams.microsoft.com/meet/3421342035921?p=KnbYrpwPDoDET8dCM6 * ID: 3421342035921 * Password: yS3BU9rq Moreover, the Call for Abstract for the 6th International Conference on Philosophy of Mind: Artificial Intelligence (6ICPH) 4-8 May 2026 (4-5 May, Online | 6-8 May, in-person), Faculty of Arts and Humanities, University of Porto (Portugal) is now open until the 29 March 2026. Keynotes are (confirmed): * Anil Seth (Uni. Sussex) * Diana I. Pérez (Uni Buenos Aires) * Paul Thagard (Uni. Waterloo) * Gloria Andrada (CSIC, Madrid) * Miguel Pais-Vieira (Uni. Aveiro) * Ângela Leite (Catholic Uni. Portugal) * Marina Trakas (CONICET | Uni. Lisbon) Full information here: https://ifilosofia.up.pt/activities/6-international-conference-philosophy-m… New book out: “Ethics in Artificial Intelligence: A Multidisciplinary Approach”, Ethics Press. Info: https://ethicspress.com/products/ethics-in-artificial-intelligence. Sincerely yours, RTAIM Team

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CAJAL Course on Quantitative Approaches to Behavior and Virtual Reality 2026
by Daniel McNamee Jan. 19, 2026

Jan. 19, 2026

*CAJAL Advanced Neuroscience Training Course: Quantitative Approaches to Behavior and Virtual Reality 2026*. This intensive course is a unique opportunity for early-career researchers interested in this field. Hosted at the *Champalimaud Centre for the Unknown*, this three-week course focuses on acquiring, analyzing, and modeling *behavioral data* and integrating it with neurobiological information, using *translational methodologies* that can be applied across species—from simple model organisms to humans—to broaden experimental and research capabilities. *Location:* Champalimaud Centre for the Unknown, Lisbon, Portugal *Dates:* 7 - 26 June 2026 *Application Deadline:* 13 February 2026 *Apply now:* https://cajal-training.org/on-site/quantitative-approaches-to-behavior-and-… <https://cajal-training.org/on-site/quantitative-approaches-to-behaviour-and…> *Course Directors* - *Ann Kennedy* – Scripps Research, USA - *Daniel McNamee* – Champalimaud Centre for the Unknown, Portugal - *Giorgio Gilestro* – Imperial College London, UK *Course Themes & Topics* This course will focus on the following key frontier areas: - Behavioral data acquisition and analysis; - Modeling behavioral dynamics; - Integration with neurobiological data; - Experimental design and independent projects; - Translational and cross-species approaches. *Keynote Speakers Include:* - Andre Brown (Imperial College London, UK) - Ahmed El Hady (Max Planck Institute, Germany) - Andrew Straw (University of Freiburg, Germany) - Barbara Webb (University of Edinburgh, UK) - Ben De Bivort (Harvard University, USA) - Carlos Ribeiro (Champalimaud Centre for the Unknown, Portugal) - Gordon Berman (Emory College, USA) - Greg J. Stephens (OIST Graduate University, Japan) - Ian Couzin (Max Planck Institute of Animal Behavior, Germany) - Joshua Shaevitz (Princeton University, USA) - Kim Hoke (Colorado State University, USA) - Kristin Branson (HHMI Janelia Research Campus, USA) - Nachum Ulanovsky (Weizmann Institute of Science, Israel) - R. James Cotton (Northwestern University, USA) - Sama Ahmed, University of Washington, USA - Talmo Pereira (The Salk Institute for Biological Studies, USA)

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Registration Open: Braitenberg 100: Computational Neuroscience - Past, Present, and Future, June 29-July 1, 2026 in Tuebingen, Germany
by Pavlovic, Maria Jan. 19, 2026

Jan. 19, 2026

Dear colleagues, We are delighted to announce that registration is open for a landmark symposium on the occasion of Valentino Braitenberg's 100th birthday in our campus's <https://www.mph.tuebingen.mpg.de/en> Max Planck House, Tübingen, Germany, June 29-July 1st, 2026: <http://www.braitenberg100-theoretical-neuroscience.de/> Braitenberg 100: Computational Neuroscience - Past, Present, and Future The symposium will gather many of the world’s leading experts to celebrate past achievements, showcase current breakthroughs, and brainstorm the future of computational neuroscience. There will be keynote speeches, poster sessions, and various program events to facilitate intellectual exchanges and interactions. -------------------------------- Keynote Speakers Include: Neil Burgess • Patrick Cavanagh • Kathleen Cullen • Peter Dayan • Kenji Doya • Ivan De Araujo • Wulfram Gerstner • Michael Hasselmo • Sabine Kastner • Read Montague • Reza Shadmehr • Naoshige Uchida • Li Zhaoping -------------------------------- To facilitate interactions and discussions, we have a limited capacity of 130 seats. >> Register now at https://app2.edoobox.com/en/MPI/Braitenberg100 <https://urldefense.com/v3/__https:/app2.edoobox.com/en/MPI/Braitenberg100__…> << We look forward to welcoming you to Tübingen for Braitenberg 100—an inspiring celebration of computational neuroscience’s past, present, and future. Warm regards, The Organizing Committee, Max Planck Institute for Biological Cybernetics -------------------------------- Please direct inquiries to <mailto:braitenberg100@tue.mpg.de%0b> braitenberg100(a)tue.mpg.de <http://www.braitenberg100-theoretical-neuroscience.de/> http://www.braitenberg100-theoretical-neuroscience.de/ --------------------------------

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Fwd: [seminar.wwtns] World wide VVTNS series (6th season): Wednesday, January 21, 2026, at 11:00 am ET - Adrien Peyrache, Mc Gill
by David Hansel Jan. 18, 2026

Jan. 18, 2026

[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 Adrien Peyrache Mc Gill on the topic of *Building and Using a Cognitive Map* The lecture will be held on zoom on January 21, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *The hippocampus is thought to build a cognitive map that supports navigation, memory, and planning, but what defines such a map and how it is used remain debated. In this talk, I will present computational models in which hippocampal-like representations emerge in recurrent neural networks trained to predict sequences of sensory observations. While spatially tuned units reliably arise, they are not sufficient to form a cognitive map. Instead, map-like representations emerge when recurrent dynamics support multi-step prediction, yielding a population-level encoding of environmental geometry. Once learned, these representations can autonomously generate offline trajectories biased by recent experience, capturing key features of hippocampal replay. I will then show how these representations guide behavior in navigation tasks. In a hippocampal–striatal model facing visual ambiguity, access to hippocampal activity enables rapid learning and flexible adaptation. Place-like coding supports self-localization, while population-level hippocampal states can be used to derive intrinsic learning signals that estimate progress toward a remembered goal, improving performance beyond full sensory observability. Together, these results suggest that cognitive maps arise from predictive recurrent dynamics and support behavior through both localization and internally generated learning signals. *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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New Frontiers in Associative Memory workshop at ICLR 2026
by krotov.a.dmitry＠gmail.com Jan. 18, 2026

Jan. 18, 2026

Dear Friends and Colleagues, ICLR 2026 will host an official workshop on New Frontiers in Associative Memory. Please consider sharing this information with your students and colleagues and submitting your best work related to Associative Memory by February 14, 2026. Workshop website: https://nfam2026.amemory.net. Submissions are open via Open Review: https://openreview.net/group?id=ICLR.cc/2026/Workshop/NFAM. Join us in Rio de Janeiro! Best wishes, Dmitry Krotov

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AIces 2026
by David Silva - IRDTA Jan. 17, 2026

Jan. 17, 2026

AIces 2026 – International School on the Cognitive, Ethical & Societal Dimensions of AI 📍 Porto–Maia, Portugal | 🗓 March 30 – April 2, 2026 | 🌍 On-site & fully online AIces 2026 is a global, interdisciplinary research training school addressing AI cognition, ethics, and societal impact. The program features 10 advanced courses, 2 keynote lectures, and participant symposia, delivered by leading scholars and industry researchers from institutions such as CMU, Johns Hopkins, NVIDIA Research, KTH, Delft, and more. Topics include: Trustworthy & responsible AI Cognitive architectures and neuroscience-inspired AI Large language models and symbolic processing Algorithmic fairness, governance, and social justice AI, human values, democracy, and the future of work Who should attend: graduate students, researchers, and practitioners from AI, cognitive science, philosophy, ethics, social sciences, and policy. ✔ Full online participation available ✔ Lectures recorded (45-day access) ✔ Certificate of participation 🔗 Website & registration: https://aices.irdta.eu/2026/ ⏳ Early registration deadline: February 3, 2026

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Open PhD Position at the Institute of Machine Learning and Neural Computation, TU Graz
by Ozan Özdenizci Jan. 17, 2026

Jan. 17, 2026

Dear all, We have an open PhD position in our research group at the Institute of Machine Learning and Neural Computation, Graz University of Technology, Austria. We are offering a 3-year doctoral researcher position focused on reliable and resource-efficient deep learning techniques, with an emphasis on spike-based neural computation in modern learning systems. The doctoral research will address both fundamental and applied algorithmic questions in learning methods and neural architectures. The starting date for the position is April 2026. More information on the position and how to apply: https://www.tugraz.at/institute/iml/institute/open-positions#c725665 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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MODVIS 2026 - Registration and Submission Deadline
by Tim Oleskiw Jan. 16, 2026

Jan. 16, 2026

MODVIS 2026: Computational and Mathematical Models in Vision, a satellite workshop to the 2026 Vision Sciences Society Annual Meeting, will be held during May 13-14 in St. Pete Beach, FL, immediately preceding the conference. Registration is now available through the VSS website:www.visionsciences.org/modvis/ <http://www.visionsciences.org/modvis/> There are three tiers of registration fees for trainees, academic members, and industry professionals: Early (Dec 19 - Feb 27): $80/$160/$200 Standard (Feb 28 - Apr 23): $100/$200/$250 Late (Apr 24 - May 14): $125/$250/$300 MODVIS is currently accepting submissions for oral presentations now through February 16th. Post-deadline submissions may be considered on a space-available basis. The program consists of contributed oral presentations, which are longer and more interactive than a regular VSS talk, and the schedule is designed to provide many opportunities for discussions during coffee breaks and a generous lunch break. The workshop will conclude on Thursday with a keynote lecture by Jonathan Victor (Weill Cornell Medical College). Please seewww.modvis.org <http://www.modvis.org> for further details. On behalf of the MODVIS organizing committee, Tim Oleskiw Assistant Professor University of Regina oleskiw(a)uregina.ca

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Call for applications: Gatsby Bridging Programme (maths summer school)
by Lin, I-Chun Jan. 16, 2026

Jan. 16, 2026

22 June - 7 August 2026 (London, UK; in-person attendance only) www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-bridging-programme The Gatsby Computational Neuroscience Unit at UCL is running an intensive, 7-week mathematics summer school "Gatsby Bridging Programme". The programme is designed for penultimate-/final-year undergraduates and Master’s students (incl. recent graduates) who wish to pursue a postgraduate research degree in theoretical neuroscience or foundational machine learning but whose degree course lacks a strong mathematical focus. Participants will attend interactive lectures and actively participate in problem-solving sessions and tutorials to develop a solid grounding in mathematics skills and intuition necessary to enter these fields. We aim to be inclusive and to increase the diversity of students entering both fields. We strongly encourage applications from students in underrepresented groups in Science, Engineering, Technology and Mathematics. A small number of bursaries are available to students who may find it difficult to participate for financial reasons. Applications open on 19 January and close on 16 February 2026 - we may need to stop accepting applications earlier if the number received exceeds our capacity to review. We are hosting an information webinar on Friday 23 January 2026 (10-11AM GMT), featuring programme instructors who will provide an overview of the programme and answer your questions live. You will learn what the programme is about, who the programme is for, what the programme does not cover, how a participant should prepare before the programme starts, etc. This webinar is the perfect opportunity to hear directly from the instructors, ask questions, and gain a deeper understanding of whether the programme is for you and how it may enrich your academic journey. Register for the webinar at https://ucl.zoom.us/webinar/register/WN_sx5dZdsNRLmys04d4SjXCA#/registration Please help us reach students who may benefit from this programme. Here are some ways in which you can help spread the word: * Distribute this email among colleagues and relevant students. * Share our posts on social media: - Bluesky: https://bsky.app/profile/gatsbyucl.bsky.social/post/3mchsokhfkk2x - Mastodon: https://neuromatch.social/@GatsbyUCL/115899632244604421 Thank you. Best, I-Chun (Scientific Programme Manager, Gatsby Unit)

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Second Call for Papers: RaPID-6@MENTAL.ai@LREC 2026: Palma de Mallorca, Spain
by Dim X Jan. 14, 2026

Jan. 14, 2026

****************************************** *Second Call for Papers:* The 6th workshop on: "*Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from * * people with various forms of cognitive/psychiatric/developmental impairments*"* in collaboration with the **MENTAL.ai -consortium* *Workshop*: co-located with LREC 2026 | Palma de Mallorca, Spain | *May 12th*, 2026 RaPID-6(a)MENTAL.ai serves as an interdisciplinary platform for researchers to exchange insights, methods, and experiences related to collecting and processing data from individuals with mental, cognitive, neuropsychiatric, or neurodegenerative impairments. The workshop focuses on creating, processing, and applying such data resources from individuals at different stages and severity levels of these impairments. The ultimate goal of RaPID-6(a)MENTAL.ai is to facilitate the study of relationships among linguistic, paralinguistic, and extra-linguistic observations, with applications ranging from aiding diagnosis to enhancing monitoring and predicting individuals at higher risk, ultimately promoting multidisciplinary collaboration across clinical, language technology, computational linguistics, and computer science communities. *Submission deadline*:* Sun., 22nd of February, *2026 (anywhere on earth) *Paper submission*: https://softconf.com/lrec2026/RaPID-6/user/ *Invited speakers*: *Brian MacWhinney*, Carnegie Mellon University, USA and *Sunny X. Tang*, MD, Feinstein Institutes for Medical Research, Northwell Health, USA *Website and details*: https://spraakbanken.gu.se/rapid-2026 *Contact*: Dimitrios Kokkinakis *Contact email*: dimitrios.kokkinakis(a)gu.se *Organizing committee*: - Dimitrios Kokkinakis, University of Gothenburg, Sweden - Charalambos Themistocleous, University of Oslo, Norway - Gaël Dias, University of Caen Normandie, France - Kathleen C. Fraser, University of Ottawa, Canada - Fredrik Öhman, University of Gothenburg and Sahlgrenska University Hospital, Sweden - Sebastião Pais, University of Beira Interior, Portugal ******************************************

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AREADNE 2026 Abstract Submission Open
by John Pezaris Jan. 13, 2026

Jan. 13, 2026

AREADNE 2026 Research in Encoding and Decoding of Neural Ensembles Eliopoulos Conference Center, Milos, Greece 23-27 June 2026 Celebrating 20 Years of AREADNE Conferences http://areadne.org info(a)areadne.org **** SECOND CALL FOR ABSTRACTS **** Abstract submissions for poster presentation at AREADNE 2026 are now open. AREADNE 2026 will bring world-wide scientific leaders to present theoretical and experimental results on the functioning of neuronal ensembles. This, our eleventh meeting, will be held at the Eliopoulos Conference Center in Milos, Greece, and will create an informal and beautiful setting for discussion of cutting-edge ideas and discoveries in an intensive but relaxed forum that emphasizes interaction. For submission details, see http://areadne.org/call-for-abstracts Abstracts for poster presentations are due by 30 January 2026; notifications will be provided by 3 March 2026. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info(a)areadne.org. We hope to see you in Milos! --- Nicholas Hatsopoulos John Pezaris AREADNE 2026 Co-Chairs

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[seminar.wwtns] Three NEW recordings on the VVTNS YouTube channel
by David Hansel Jan. 13, 2026

Jan. 13, 2026

[image: VVTNS.png] > > <https://84454458.streak-link.com/Cu0_UBdOjjGclXV0Egvy9LEt/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 *Building on cortical models* Lecture delivered on December 10, 2025 by Markus Diesmann Jülich Research Centre ----------------------------------------------------------- *Learning mechanistic models that link cells, circuits, and computations * Lecture delivered on December 17, 2025 by Jakob Macke Tubingen University ----------------------------------------------------------- *Towards using large-scale, cross-brain neuronal recordings* *to identify the brain’s internal signals* VVTNS 2026 Opening Lecture delivered on January 7, 2026 by Carlos Brody Princeton Neuroscience Institute *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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2 PhD positions available on Whole-Brain Neural Mass Modeling and Parameter Estimation
by xkobeleva＠gmail.com Jan. 13, 2026

Jan. 13, 2026

Dear subscribers, I'm happy to announce 2 PhD positions in our Computational Neurology lab located at the Institute for Neural Computation https://www.ini.rub.de/ and Bernstein Node Bochum at Ruhr University, Bochum, Germany. Our group works at the interface of clinical neuroscience (neurostimulation and neurodegenerative diseases) and computational neuroscience (whole-brain network neural mass modeling, parameter inference, control theory), with a strong focus on translational research that connects computational methods to real-world clinical data and patient-oriented questions. Our team is young, motivated, international, and genuinely interdisciplinary, bringing together expertise from medicine, neuroscience, psychology, and quantitative sciences. We invite applications for two PhD projects on network neural mass modeling and parameter inference in neurodegenerative diseases (e.g., Alzheimer's Disease) and in healthy participants. Details can be found here: https://www.ini.rub.de/the_institute/jobs/2_phd_positions_fmd_in_computation al_neurology/, and if you have questions regarding the positions, please reach out to me: https://computationalneurology.com Feel free to forward to anyone who might be interested. Best regards Prof. Dr. Xenia Kobeleva

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[PhD positions] Ten fully funded Positions on "Curiosity" in Göttingen
by Priesemann, Viola Jan. 13, 2026

Jan. 13, 2026

Are you interested in the neurosciences of curiosity? In Göttingen, we established a Graduate Research and Training School on “Curiosity”, and we are hiring again about 10 PhD students, starting summer 2026. The topics range from computational neuroscience to psychology and AI. The outlines of the project are relatively short, because we do have considerable freedom to shape the together with the PhD student. If you are interested in joining a vibrant and closely interacting PhD research community in Göttingen, feel welcome to apply! https://www.uni-goettingen.de/en/681638.html _____________________ 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<mailto:viola.priesemann@ds.mpg.de> https://priesemann-group.github.io<https://priesemann-group.github.io/>

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Multiple Research Positions Open in Computational Neuroscience at IBS, South Korea
by Sungho Hong Jan. 13, 2026

Jan. 13, 2026

Dear Colleagues, Our research group at the Center for Memory and Glioscience, Institute for Basic Science (IBS), South Korea, is seeking highly motivated scientists for open positions at multiple levels, including Postdocs, Senior Researchers, and Research Assistants. 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. For more information, please see our home page: https://neuroai-ibs.github.io. We closely collaborate with experimental labs both within our Center and abroad, providing rich opportunities for integrative research. We are also located next door to top-notch experimental laboratories in our Center and have various opportunities for scientific exchange 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. Successful candidates will hold a PhD (for Postdocs and Senior Researchers) or a Bachelor's degree (for Research Assistants) 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., as well as diverse scientific backgrounds. For further inquiries, please feel free to contact me (sunghohong(a)ibs.re.kr) Including your CV and a brief statement of research interests would be helpful. We would appreciate it if you would be willing to share this post with colleagues who may be interested. Best, Sungho — Sungho Hong Center for Memory and Glioscience Institute for Basic Science 55 Expo-ro, Yuseong-gu Daejeon 34126 South Korea

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Post-Doc/Engineer position. Pediatric epilepsies caused by genetic mutations
by fabrice.wendling＠inserm.fr Jan. 12, 2026

Jan. 12, 2026

Dear colleagues Please find below an offer for a Post-Doc/Engineer position in our laboratory, starting winter 2026. The candidate will work on a national multidisciplinary project named Innov4epik. This is a hospital-university research project (RHU) involving 10 centers in France (more information: https://epilepsies-innov4epik.com/project/) It focuses on pediatric epilepsies caused by genetic mutations inducing alterations in transmembrane ion channels. Please feel free to circulate this offer to anyone who might be interested in a topic combining electrophysiological signal (LFPs, EEG) processing and computational modeling. Thank you in advance. Warmest regards and best wishes for this new year 2026. Fw --- Fabrice WENDLING DR Inserm LTSI, UMR1099 – Inserm - Université de Rennes Co-dir Cinetyks Team Campus de Beaulieu - 35042 Rennes Cedex - France - Tel: +33 2 23 23 56 05 / 62 20 - +33 6 58 25 75 30 Email: fabrice.wendling(a)inserm.fr https://fabricewendling.github.io/ https://www.galvani-lab.eu/ --------- Post-doc or Research Engineer position offer (ref: RHU2024-Rennes) Epilepsies caused by genetic mutations: signal processing and computational modeling Context. Developmental and epileptic encephalopathies (DEEs) are a group of severe rare diseases where the combined effect of seizures, most often drug resistant, and the non-seizures consequences of the disease etiology, often genetic, entail a debilitating encephalopathy with drastic effects on the neurodevelopmental, psychiatric, and motor abilities of the patients. DEEs due to potassium channel mutations (K-DEEs) are emblematic of this disease presentation. Rationale. The mechanisms underlying the relationship between i) the molecular effect of a gene mutation (KCNB1, KCNA2) on specific voltage gated potassium channel function, and ii) the patient-specific phenotypes observed in scalp-recorded EEG signals remain elusive. Computational models inspired from neuronal physiology is now recognized as an efficient way to bridge the gap between i) changes occurring at the level of neurons and neuronal circuits and ii) electroencephalographic (EEG) signals recorded in patients containing markers of the underlying pathology. Objective. The objective of the proposed research position is to design novel neuro-inspired models taking into account the molecular effect of a gene mutation on the specific voltage-gated potassium (K) channel function and on the specific phenotypes observed both in patients (scalp-recorded EEG signals) and genetically-modified mice (local field potentials) in which downregulation or upregulation of K channels is induced. Methods. Both microscopic models (cellular level) based on Hodgkin and Huxley's (HH) formalism and macroscopic models (whole brain based on interconnected Neural Mass Models -NMMs-) will be used. The microscopic model will describe both passive (membrane capacitance, axial resistivity, leakage conductance, and membrane time constant) and active (voltage-gated and ligand-gated ion channels) membrane properties. The channel pathogenic variants of KCNB1 (loss of function) and KCNA2 (gain of function) mutations identified in 2 other work packages (1 & 2) will be inserted in the membrane in order to study the impact of the channel mutation on the firing rate curves of neuron subtypes, specifically pyramidal neurons (PYR), somatostatin (SST), parvalbumin (PV), and vasoactive intestinal polypeptide (VIP) positive interneurons. Optimization methods will be developed for identifying optimal parameters minimizing the distance between real and simulated electrophysiological signals (LFPs). Results from the detailed model will be transferred to the NMM parameters of our whole-brain model, eCoalia, to simulate patient-specific scalp EEG features. Both models will be developed in Python. Strong background is available (PMID: 33617692, PMID: 40161993, PMID: 38520800). Scientific domains. Engineering (computational, biomedical); EEG; Signal Processing; Neurophysiology; Neuroscience; Neurology; Computer Science (implementation of Python routines into an existing software application named Neocomm(detailed) and eCOALIA(whole-brain)). Scientific environment. This research will benefit from an outstanding clinical research environment, centered around the largest curated K-DEE cohorts, coordinated by the Necker reference center for rare epilepsies (Prof. Rima Nabbout), and assembling an extensive group of experts from various specializations, including clinical, electrophysiological, psychological, computational, translational research, biotechnology and pharma industry. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models) and neuroscience/neurology (epilepsy). The Post-doc/Engineer fellow (PhD level) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. Contract The position will be opened February 1st, 2026 (flexible). The contract is for 2 years (flexible). The employer is the University of Rennes. The competitive salary will be according to experience (2350 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the hired person will have the opportunity to actively collaborate with other groups involved in the innov4epik RHU project (2024-2029), funded by the French National Research Agency (ANR). Contact (please provide resume, cover letter and email of 2 references) Pascal Benquet (Prof Univ Rennes, LTSI, France) Email: pascal.benquet(a)univ-rennes.fr Fabrice Wendling (DR Inserm, LTSI, France) Email: fabrice.wendling(a)inserm.fr

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9th Advanced Course on Data Science & Machine Learning - ACDL 2026 - From AI Agents to Agentic AI | June 8-12 | Riva del Sole Resort & SPA - Italy -> ⏰ Early Registration: by 23 February
by ICAS Organizing Committee Jan. 12, 2026

Jan. 12, 2026

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks * ACDL 2026, A Residential Course: From AI Agents to Agentic AI, June 8-12, Tuscany ⏰ Early Registration: by 23 February 📚 ACDL 2026 is a full-immersion 5-day course in Riva del Sole Resort & SPA - Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc., Generative AI, AI Agents & Agentic AI with lectures delivered by world-renowned experts. If you want to learn AI, Generative AI & AI Agents LLMs, Agentic AI, Multimodal Foundation Models, and much more then take part in ACDL 2026! ;-) Riva del Sole Resort & SPA - Tuscany, Italy, June 8-12, 2026 🔗 https://acdl2026.icas.events 📧 acdl(a)icas.cc ⏰ EARLY REGISTRATION: by February 23 (AoE) 🔗 https://acdl2026.icas.events/registration/ Oral Presentation Submission Deadline: by February 23 (AoE) 📝 LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. 🔗 https://acdl2026.icas.events/lecturers/ It follows the (partial list) of the confirmed ACDL 2026 Lecturers: Arthur Gretton, UCL, UK Katja Hofmann, Microsoft, UK Arnulf Jentzen, University of Münster, Germany Pushmeet Kohli, Google DeepMind, UK David van Dijk, Yale University, USA Jason Weston, META, USA More Lecturers TBA 📑 LECTURES: TBA 🔗 https://acdl2026.icas.events/lectures/ 📚 PAST LECTURERS: 🔗 https://acdl2026.icas.events/past-lecturers/ ✅ VENUE: 🔗 https://acdl2026.icas.events/venue/ Riva del Sole Resort & SPA Località Riva del Sole‚ Castiglione della Pescaia (Grosseto) CAP 58043‚ Tuscany‚ Italy p: +39-0564-928111 📧 booking.events(a)rivadelsole.it 🔗 https://www.rivadelsole.it/en/ PAST EDITIONS: 🔗 https://acdl2026.icas.events/past-editions/ 📚 CERTIFICATE & 8 ECTS: The 9th Advanced Course on Data Science & Machine Learning – ACDL 2026 is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in Deep Learning, Data Science and Generative AI with lectures delivered by world-renowned experts. The Course 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 ACDL attendants.The Course 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 Course. Language: English. To participate in the ACDL 2026, all attendants must (1/2) register for the course (by February 23, 2026) and (2/2) book accommodation at the course venue, “Riva del Sole Resort & SPA” (by April 23, 2026); all attendants must stay at the “Riva del Sole Resort & SPA”. Booking accommodation at the Riva del Sole must be made exclusively using the accommodation form attached to the registration confirmation email. No other methods must be used (if you use other booking methods the hotel will cancel the reservation). Finally, it is not possible to extend the stay, the special accommodation rates are valid only for the period of the course, no exceptions will be made. To contact the Riva del Sole Resort & SPA (the course venue) use the following email: booking.events(a)rivadelsole.it Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl(a)icas.cc) ACDL is a residential course, 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 can not match people. If you have someone to share the apartment with (or a double room in Hotel), please send to the Hotel ( 📧 booking.events(a)rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book a hotel room in single use. Please note that only ACDL 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 ACDL 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 ACDL 2026 should register as soon as possible. See you in Riva del Sole in June! ACDL 2026 Directors. ACDL 2026 Scientific & Organizing Committees. 🔗 https://acdl2026.icas.events 📧 acdl(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://acdl2026.icas.events * Apologies for multiple copies. Please forward to anybody who might be interested, thanks *

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World wide VVTNS series (6th season): Wednesday, January 14, 2026, at 11:00 am ET - David Clark Kempner Institute at Harvard University
by David Hansel Jan. 12, 2026

Jan. 12, 2026

[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 David Clark Kempner Institute at Harvard University on the topic of *Computation Through Neuronal-Synaptic Dynamics* The lecture will be held on zoom on January 14, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Computations in neural circuits are often construed as being implemented through the coordinated dynamics of neurons. In this picture, the role of synaptic connectivity is to sculpt neuronal dynamics to implement computations of interest. Of course, synapses are not static but change on a variety of timescales, including fast timescales comparable to those of neurons. Thus, a more accurate view of computation in neural circuits may involve the coupled dynamics of neurons and synapses. This form of computation is closer to what is implemented by Transformers via an equivalence between ongoing synaptic plasticity and self-attention. I will first describe a nonlinear recurrent neural-network model with ongoing Hebbian dynamics of “fast” synapses atop unstructured “slow” synapses. I will then describe two computations implemented through neuronal-synaptic dynamics, which can be studied in this model using techniques including dynamical mean-field theory and random-matrix theory. First, there exists a novel phase termed “freezable chaos” in which a stable fixed point of neuronal dynamics is continuously destabilized by synaptic dynamics. This allows for the creation of a stable fixed point at any neuronal state visited by the network by halting synaptic plasticity. Second, I will describe an effect termed “persistent oscillations” in which, following stimulation by a periodic signal, a plastic network continues to autonomously reproduce a similar signal for a duration exceeding any intrinsic timescale in the system. Thus, ongoing Hebbian plasticity can provide a dynamic form of working memory, complementing the static form provided by freezable chaos. Ongoing experimental work suggests that this effect is realized in cortical organoids. Overall, this line of work suggests that synapses should be promoted to first-class dynamical degrees of freedom in our conceptual understanding of neural-circuit function. *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 -- *Il n'y a ni obligation ni pression à traiter ou répondre à ce mail en dehors des heures de travail* "В каждой шутке есть доля шутки" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ᐧ

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Fully-funded PhD in computational neuroscience, Sheffield, UK
by Hazem Toutounji Jan. 11, 2026

Jan. 11, 2026

Dear all, A fully-funded PhD position in computational neuroscience is available with Dr Hazem Toutounji (University of Sheffield, UK). *Project title: *Flexible or Flawed? A Computational Neuroscience Approach to Learning Strategies and Psychiatric Traits In our complex and ever-changing world, humans are constantly faced with a flood of sensory information. To make effective and timely decisions, the brain cannot possibly process every single detail. Instead, it is thought to rely on intelligent "cognitive shortcuts" or simple strategies (heuristics) to simplify complex problems. This allows for rapid and flexible learning, but the mechanisms behind this process are not well understood. When are these shortcuts deployed? How does the brain select the right strategy for the task at hand? How does it know when a shortcut is no longer working and a new strategy is needed? And how are the selection and efficiency of those shortcuts influenced by common psychiatric traits such as anxiety and impulsivity? This 3.5-year fully-funded PhD studentship provides an exciting opportunity to work at the intersection of computational modelling, cognitive neuroscience, and computational psychiatry. The successful candidate will receive comprehensive training in all required methods. *Position available for UK students only* *Application deadline: *February 4th 2026 *PhD start date: *October 1st 2026 Further information on the project, requirements, and how to apply can be found here: http://www.findaphd.com/?pj=190228 *Please note: *Interested candidates are strongly encouraged to contact me ( h.toutounji(a)sheffield.ac.uk) to discuss your interest in and suitability for the project prior to submitting your application. Best wishes, Hazem -- *Dr. rer. nat. Hazem Toutounji (they / them) *[pronounced ḤAH-zem TUTUN-ji <https://namedrop.io/hazemtoutounji>] *PI of the Neural Dynamics and Computation Lab* Lecturer in Computational Neuroscience MSc Exams Officer, ECR Champion, Sustainability Lead School of Psychology The Neuroscience Institute Insigneo Institute for in silico Medicine University of Sheffield ICOSS Building, 4th floor, desk 5 219 Portobello, Broomhall Sheffield S1 4DP, UK *Please don't feel obliged to respond to my emails outside your own working hours* If you are a student looking for support, please see this page <https://www.sheffield.ac.uk/study/support>. *Office hours during semester weeks:* Monday 14:00-15:00 -- Please book an appointment with a brief description of the topic using this link <https://calendar.app.google/1ayXM9DqBhAkLBCp6>. Face to face meetings are at *ICOSS E04a*. To meet outside of office hours, please email me 24 working hours in advance.

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PhD positions in theoretical neuroscience, dynamical systems, and machine learning at UIUC
by Engelken, Rainer Jan. 10, 2026

Jan. 10, 2026

Dear colleagues, I recently started a new lab in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, working at the intersection of theoretical neuroscience, dynamical systems theory, and machine learning. I am recruiting one to three fully funded PhD students for Fall 2026, with admission through ECE (Electric and Computer Engineering). Our research uses dynamical systems theory to understand the mechanisms and principles of learning and dynamics in neural circuits, bridging biological and artificial systems. We combine mathematical analysis with large-scale simulations to connect neuroscience, physics, and ML. PhD project directions include: 1. Learning dynamics and mechanistic interpretability. Understanding how brains and neural networks learn over time: how synapses change, how activity patterns evolve, and how useful internal representations emerge, with an eye toward opening the black box of both biological and artificial systems (see references [1–2]). 2. Neural dynamics, chaos, and computation. Exploring how network structure and inputs shape complex activity patterns, including chaotic regimes, and how these patterns can be harnessed for computation in both brain-inspired and artificial networks (see references [3–4]). 3. Training algorithms for spiking networks. Developing new ways to train spiking neural networks so that they are both efficient and easy to optimize, building on ideas like Gradient Flossing and fast event-based simulation methods such as SparseProp (see references [5–6]). I welcome applicants from quantitative backgrounds like physics, mathematics, computer science, or engineering, who want to apply quantitative skills to neuroscience questions. Comfort with mathematics and programming is required; you should enjoy thinking with equations and code. I value reliable, self-driven students who enjoy taking projects from idea to finished work. The lab aims for a supportive, collaborative environment that is intellectually intense and kind. We believe great science comes from working together, and we support diversity in backgrounds and ideas while prioritizing well-being and deep curiosity about neural computation. Positions are fully funded with access to exceptional computing resources through the National Center for Supercomputing Applications (NCSA). The lab is part of UIUC's Neuroinformatics cluster with ties to the Beckman Institute and Coordinated Science Laboratory. Co-advising with experimental groups is possible. For Fall 2026 entry: • ECE PhD application deadline: January 15, 2026. In your application, clearly indicate Prof. Rainer Engelken in the "faculty of interest" field and in your Statement of Purpose. Before or after applying, you are welcome to email me with a CV, transcript, and a short note about your background and interests if you think this opening is a good fit. Learn more: https://rainerengelken.github.io/ or https://ece.illinois.edu/about/directory/faculty/engelken If you have strong candidates, please forward this email. Students can also reach out to me directly at engelken(a)illinois.edu Best regards, Rainer Engelken Assistant Professor The Grainger College of Engineering Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign P.S. Students reading this directly: feel free to email me with questions. I'm especially interested in candidates with strong math/physics training looking to work on neural dynamics and learning. References [1] Engelken, R., Ingrosso, A., Khajeh, R., Goedeke, S., & Abbott, L. F. (2022). Input correlations impede suppression of chaos and learning in balanced firing-rate networks. PLOS Computational Biology, 18(12), e1010590. [2] Engelken, R., & Goedeke, S. (2022). A time-resolved theory of information encoding in recurrent neural networks. Advances in Neural Information Processing Systems, 35, 35490-35503. [3] Engelken, R., Wolf, F., & Abbott, L. F. (2023). Lyapunov spectra of chaotic recurrent neural networks. Physical Review Research, 5(4), 043044. [4] Engelken, R., Monteforte, M., & Wolf, F. (2024). Sparse chaos in cortical circuits. arXiv preprint arXiv:2412.21188. [5] Engelken, R. (2023). Gradient flossing: Improving gradient descent through dynamic control of jacobians. Advances in Neural Information Processing Systems, 36, 10412-10439. [6] Engelken, R. (2023). Sparseprop: Efficient event-based simulation and training of sparse recurrent spiking neural networks. Advances in Neural Information Processing Systems, 36, 3638-3657.

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Call for Outstanding Postdoctoral Candidates – NGILab, Krembil Brain Institute (Toronto)
by De Pitta, Maurizio Jan. 10, 2026

Jan. 10, 2026

Dear colleagues, Please feel free to disseminate and share this announcement widely. I am seeking outstanding postdoctoral candidates to join the Neuron–Glia Interactions Laboratory (NGILab) at the Krembil Brain Institute, University Health Network (Toronto, ON, Canada). Successful candidates will be supported through one of two competitive, independent 2-year postdoctoral funding programs: > Canada Leads at University Health Network (for Canadian candidates): https://uhncanadaleads.ca/ > Canada+ Impact Research Training Awards (for international candidates): https://sshrc-crsh.canada.ca/en/funding/opportunities/canada-impact-plus-re… ***Project overview*** NGILab specializes in developing multiscale models of neuron–glial circuits, with a strong emphasis on emergent dynamics across spatial and temporal scales. Within this framework, we are building digital cell twins and virtual replicas of neuron–glial circuits to dissect pathogenic mechanisms spanning neurodegeneration to cancer. The postdoctoral fellow will lead the design, development, and implementation of digital cell twins that integrate large-scale reactomics data with anatomical and structural information. The successful candidate will work closely with NGILab members and with collaborators in Canada, the United States, and Italy. ***Position details*** > Both funding streams support a 2-year postdoctoral appointment > Salary range: CA$65,000–70,000 per year + ~16% fringe benefits > Relocation support provided, if applicable > On-site position (in-person only) > Start date: Flexible, between March 2026 and April 2027 ***Candidate profile*** Applicants should demonstrate: > Strong expertise in multiscale and/or multiphysics modeling, with applications to neuroscience and cell biology > High proficiency in object-oriented programming (Python, C, and/or C++) > Experience with particle-based simulators and/or the design, training, and implementation of foundational AI models > Excellent written and spoken English > A proven publication record as first or co-first author > Demonstrated leadership skills, including coordination and supervision of small teams (2–3 members), regular communication of progress with the PI and collaborators, and engagement in career planning discussions > A strong commitment to professional ethics, transparent communication, realistic planning of deliverables, and timely adherence to deadlines ***Application process*** Following internal evaluation, selected candidates will be invited to apply to the appropriate funding stream. The application deadlines for these programs fall approximately two weeks after preselection (see below). The selected candidate and I will work very closely throughout the proposal preparation process, with intensive feedback and support during drafting. > Canada Leads: Proposal length ~3–5 pages (including biosketch) > Canada+ Impact Research Training: Proposal length ~10 pages (excluding biosketch) ***How to apply*** Please submit a single PDF to maurizio.depitta(a)uhn.ca with the subject line: [Stream Name] FirstName LastName (where Stream Name is either "Canada Leads" or "Canada+IRT") The PDF should include: > Cover letter > Biosketch > CV (including a complete list of publications and oral presentations) > One representative publication Deadlines Applications will be reviewed on a rolling basis. Competitive applicants will be invited for an interview. > Canada Leads: Open until the position is filled. > Canada+ Impact Research Training: >> Preselection deadline: January 26, 2026. >> Full application deadline: March 4, 2026. Sincerely, Maurizio De Pittà ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. 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