March 2026 - Comp-neuro - lists.cnsorg.org

CFP - Simulation of Adaptive Behavior (SAB 2026)
by Jeffrey L Krichmar April 21, 2026

April 21, 2026

From Animals to Animats 18: The 18th International Conference on Simulation of Adaptive Behavior (SAB 2026) Where: TU Berlin, Germany When: 19-22 October 2026 Website: https://www.sab-conference.org Important Dates Submission deadline: 15 May 2026 Notification of acceptance:19 June 2026 Camera-ready paper version due: 17 July 2026 Conference takes place: 19-22 October 2026 Objectives: The interdisciplinary conference on the Simulation of Adaptive Behavior: From Animals to Animats (SAB) 2026 brings together researchers from artificial intelligence, robotics, behavioral biology, psychology, neuroscience, and many other fields. The conference offers a unique opportunity to exchange ideas across disciplinary boundaries. We believe this exchange is necessary to advance our understanding of the mechanisms that enable general and robust behavior in natural animals and artificial agents. The conference focuses on characterizing and comparing organizational principles and architectures underlying adaptive behavior in animals and animats. Animats denote the conceptual connections between animals and synthetic agents. The conference therefore actively seeks submissions that bridge several of the aforementioned disciplines, combining their methodological foundations to arrive at novel insights and approaches. Of particular interest are research projects which connect natural behavior to synthetic agents, including those leveraging modern machine learning and deep learning techniques for behavioral modeling, analysis, and synthesis. Selected papers will be invited to a special issue in the journal Adaptive Behavior and will be published with Springer Nature. SAB accepts submissions in several tracks: - Conference papers are peer-reviewed. Accepted papers will be published in conference proceedings “From Animals to Animats 18: SAB 2026” Lecture Notes in Artificial Intelligence, Springer Nature. - Conference papers without inclusion in the proceedings. These papers will undergo a light peer-review. Papers will be included on the conference website but they will not be formally published so that your research results can still appear in your disciplinary journals. - Poster abstracts are peer-reviewed for general suitability of the content. Accepted posters will be presented at a poster session and, time permitting, will be able to present a spotlight presentation to the conference attendees. - Position papers are peer reviewed; they offer a novel, visionary perspective on the convergence of different branches of behavior-based research in both artificial and biological systems. These papers are supposed to trigger a lively discussion. - Workshop or Tutorial proposals will be peer reviewed. Workshops and Tutorials will take place on September 20. The event should be relevant to the expected audience of SAB. Topics of interest: Artificial Intelligence, Artificial Life, and Computational neuroscience o Action selection, behavioral sequencing o Communication and language o Emotion and motivation o Internal models and representations o Reinforcement learning o Sensory-motor coordination, motor control o Software agents and virtual creatures Philosophical Issues o Consciousness o Ethics o Mind/Body problem Robotics o Autonomous robotics o Bio-inspired and hybrid robotics o Cognitive robotics o Developmental robotics o Humanoid robotics o Navigation and mapping o Neurorobotics Self-Organizing Systems o Body and brain co-evolution o Collective and social behavior o Dynamical systems approaches o Evolutionary and co-evolutionary approaches o Self-assembling and self-replication Paper and Abstract Submission: Author Guidelines for All Tracks All submissions must be written in English and formatted in the Springer LNCS style. Please refer to the LNCS Springer style guide for style templates and formatting instructions. We strongly encourage authors to prepare papers using LaTeX. The LNCS package for LaTeX and the instructions file can be downloaded directly from Springer’s website. https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… Additional Guidelines for Conference and Position Papers All submitted papers (conference papers with and without inclusion in the proceedings, as well as position papers) must not exceed 12 pages, including references. Additional Guidelines for Poster Abstracts All submitted poster abstracts must not exceed 3 pages, including references. How to Submit All submissions will be handled through the CMT (Conference Management Toolkit) system. Authors must create a CMT account before submitting their paper. (For instructions: https://sab2026.scioi.de/call-for-contributions/ ) Where to Submit SAB submission website (CMT) https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FSAB2026%2FSubmi… Paper Review & Acceptance: All submitted full papers will be peer-reviewed based on relevance, originality, quality of presentation, and technical quality. The authors of all accepted papers are kindly requested to revise their papers following the reviewers’ comments. Authors of accepted papers will be invited to present their research work either as an oral presentation or as a poster. Workshop Tutorial Proposals: We will consider proposals for workshops and tutorials. Workshops and tutorials will be held on the first day of the conference (19 October 2025) and must be held in-person. Proposals will be reviewed by the Organizing Committee. To submit a workshop or tutorial, please follow the below template and submit here: https://cmt3.research.microsoft.com/SAB2026/Track/6/Submission/Create Template Similar to paper submissions, please follow the LNCS Springer style guide for templates and formatting instructions. For your workshop or tutorial proposal, please include the following information, as displayed on our website. https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… https://sab2026.scioi.de/call-for-contributions/ Publication: All accepted papers (oral and poster presentations) will be published by Springer Nature in the Lecture Notes in Artificial Intelligence series. https://link.springer.com/conference/sab Program Committee: Francisco Javier Bellas Bouza – Universidade da Coruña Maren Bennewitz – Universität Bonn Marcel Brass – Humboldt-Universität zu Berlin Lola Cañamero – CY Cergy Paris Université Nikolaus Correll – University of Colorado Boulder Richard José Duro Fernández – Universidade da Coruña Heiko Hamann – Universität Konstanz Alex Kacelnik – University of Oxford Jens Krause – Humboldt-Universität zu Berlin Oliver Kroemer – Carnegie Mellon University Poramate Manoonpong – Vidyasirimedhi Institute of Science and Technology Justus Piater – Universität Innsbruck Tony Prescott – University of Sheffield Pawel Romanczuk – Humboldt-Universität zu Berlin Gregor Schöner – Ruhr-Universität Bochum Dylan Shell – Texas A&M University Gaurav Sukhatme – University of Southern California Jochen Triesch – Frankfurt Institute for Advanced Studies Elio Tuci – Université de Namur Myra Wilson – Aberystwyth University Florentin Wörgötter – Universität Göttingen Program Chairs: Oliver Brock – Technische Universität Berlin Jeff Krichmar – University of California, Irvine The conference will be held at Science of Intelligence/TU Berlin and the Universität der Künste (UDK), Berlin, Germany. We look forward to welcoming you at SAB 2026! Best regards, SAB Organizing Committee organisers(a)sab-conference.org Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Junior Theoretical Neuroscientists Workshop at the Flatiron institute (July 21-24)
by pef246＠nyu.edu March 31, 2026

March 31, 2026

Applications are open for the Junior Theoretical Neuroscientists Workshop at the Flatiron institute Participants will: • Present 20-minute research talks • Lead in-depth blackboard tutorials • Engage in small-group discussions • Connect with a community of peers When: July 21–24, 2026 Where: Flatiron Institute, NYC Who: junior theorists Apply by: April 15, 2026 Cost: Travel, lodging, and meals will be covered for accepted participants. Learn more: https://www.simonsfoundation.org/event/jrworkshop2026/ Apply here: https://simonsfoundation.formstack.com/forms/26_junior_theoretical_neurosci… Organizers: Mitya Chklovskii, Agnish Kumar Behera, Philip Kidd, and Pierre-Etienne Fiquet Please feel free to share with anyone who might be interested! Best regards, Pierre-Etienne Fiquet Flatiron Research Fellow Center for Computational Neuroscience Flatiron Institute

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🧠 [Meetings] [CFP *Deadline Extension*] IEEE SMC 2026 Workshop - NeuroWearX for Empowered Co-Intelligence: Advancing Human–Machine Interfaces by Integrating Biological, Physical, and Spatial Intelligence with Generative AI
by NeuroWearX March 31, 2026

March 31, 2026

Call for Papers (Deadline Extended to: April 19) 2026 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2026) https://www.ieeesmc2026.org/ IEEE SMC Workshop: NeuroWearX for Empowered Co-Intelligence: Advancing Human–Machine Interfaces by Integrating Biological, Physical, and Spatial Intelligence with Generative AI https://www.ieeesmc2026.org/Content/3015153.html Overview Wearables, assistive robots, and smart IoT systems are rapidly becoming part of everyday life. However, many of today’s wearable computing and human–machine interfaces still feel “smart, yet not quite helpful.” They are often fragmented, difficult to personalize, and frequently struggle to transform rich but noisy multimodal signals, such as physiology (e.g., heart rate, neural/muscle activity), body movement, and environmental context, into reliable, meaningful real-world support. At the same time, generative AI and foundation/world models are reshaping the landscape, shifting the paradigm beyond isolated sensors and single-purpose algorithms toward integrated, adaptive, context-aware Human–AI–Machine systems. To make the use of these technologies feel like a natural extension of ourselves, this workshop brings together researchers and practitioners across biosensing and measurement, neuroscience, AI, robotics, ubiquitous computing, and human-centered design to define the next frontier of Empowered Co-Intelligence: wearable interfaces that fuse three complementary “intelligences”—(1) biological intelligence, to infer human state and intent by modeling how people naturally think and behave; (2) physical/embodied intelligence, which understands body dynamics and real-world physics so interaction and assistance remain safe and effective; and (3) spatial intelligence, to leverage nearby sensors, IoT devices and smart environments for continuous situational awareness. These capabilities are further amplified by generative AI—models trained on large-scale data that can integrate heterogeneous signals to predict, reason, and adapt—enabling systems to become more personalized and context-aware. Together, these capabilities can overcome the limits of noisy on-body sensing and constrained wearable computing by turning fragmented measurements into coherent, actionable assistance. Our vision is an AI that operates quietly in the background, like an invisible layer of artificial cortex, running in parallel with our own cerebral cortex and coordinating across different lobes: not simply following rules, but learning your patterns, anticipating your needs, and adjusting in real time. The result is 24/7 support for thinking, decision-making, and physical action that feels intuitive, seamless, and requires minimal cognitive effort. Beyond new algorithms, we also emphasize human-centered evaluation, trust, accessibility, and inclusive augmentation, with the goal of accelerating research that advances wearable computing into reliable, scalable, and equitable systems—technologies that truly co-evolve with users over time. Topics of Interest We welcome research papers, short/WiP papers, and position/vision papers on (but not limited to) the following areas aligned with multimodal perception–decision–action cycles, shared autonomy, personalization, safety, and real-world robustness on wearable technologies. (A) Biological intelligence: sensing human state & intent ● Multimodal biosensing: EEG/EMG/ECG/EDA/PPG/respiration, inertial + physiological fusion ● Robust biosignal decoding in-the-wild: drift handling, motion artifacts, missing data, calibration-free methods ● Intent recognition and user-state estimation (fatigue, stress, attention, readiness, motor intent) ● Personalized adaptation across users: domain adaptation, continual learning, few-shot personalization ● Privacy-preserving on-body learning and secure biosignal pipelines (B) Physical intelligence: embodied assistance & safe action ● Embodied AI for wearable augmentation: biomechanics, dynamics, control, and safe shared autonomy ● Wearable robotics and human–robot physical interaction (exoskeletons, prostheses, assistive devices) ● Safety, stability, and fail-safe design in closed-loop wearable control ● Human factors and ergonomics for physical assistance; workload-aware support ● Verification/validation of embodied policies for assistive wearable systems (C) Spatial intelligence: context from environments, robots & smart IoT ● Context-aware wearable computing using smart environments, robots, and IoT integration ● Scene understanding for assistance: activity context, objects, layout, hazards, and social context ● Multi-device sensing orchestration (wearable + phone + AR + ambient sensors) ● Real-world robustness and interoperability across heterogeneous devices (D) Generative AI & foundation/world models for wearables ● Generative AI / foundation models for wearable time-series, biosignal representation learning, multimodal fusion ● World models for prediction, planning, and co-adaptation in human-centered wearable interaction ● Edge/on-body inference: efficiency, compression, distillation, and low-power deployment ● Uncertainty-aware assistance, reliable decision-making, and “AI-in-the-background” support (E) Human-centered NeuroDesign, evaluation & impact ● Human-centered interface design: intuitive/subconscious interaction, trust, transparency, explainability ● UX evaluation in real-world settings: accessibility, equity, inclusive augmentation ● Ethical, privacy, and governance considerations for always-on wearable intelligence ● Application domains: assistive augmentation, rehabilitation, health monitoring, everyday support Submission Instructions ● Submission Deadline (EXTENDED): April 19, 2026 ● Submission site at 2026 IEEE International Conference on Systems, Man, and Cybernetics (Papercept): https://conf.papercept.net/conferences/scripts/start.pl ● Submission code: dt3i1 (Use the submission code "dt3i1" during the Papercept submission process to route your paper to this workshop.) ● Please follow the IEEE SMC 2026 submission guidelines and formatting requirements. IEEE SMC 2026 submission guidelines: https://www.ieeesmc2026.org/call-for-papers Best regards, Organizing Committee 🧠 NeuroWearX Workshop @ IEEE SMC 2026 Website: https://www.ieeesmc2026.org/Content/3015153.html Email: info.neurowearx(a)gmail.com

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Call for applications: Computational approaches in systems neurophysiology (Rome, Italy – June 23-25, 2025)
by Andrea d'Avella March 30, 2026

March 30, 2026

Applications are open for the XXVIII *School of Physiology and Biophysics* organized by the *Italian Physiological Society *(SIF), which will be held from *June 23 to June 25, 2025*, in *Rome, Italy*. Enquires: sif.sfb.2025(a)gmail.com Online application: https://sfb2025.azuleon.org/ Application deadline: *May 9, 2025* The XXVIII School of Physiology and Biophysics of the Italian Physiological Society is a three-day (one full day and two half days) introductory course designed to provide participants with both theoretical and technical-practical knowledge of computational approaches in systems neurophysiology. The school covers a wide range of topics, from the analysis of behavioral and electrophysiological data to the modeling of brain activity at the cellular, whole-brain, and behavioral levels. Participants will learn how computational methods can be applied to study motor control and sensory systems by integrating experimental data with advanced analytical tools. The curriculum includes psychophysical methods, analyses of kinematic and muscle synergies, eye movement analyses, computational methods of sensory stimulation, neural network models, and quantitative neuroimaging techniques. The course combines lectures with hands-on tutorials, where attendees will analyze sample experimental data using analysis software such as MATLAB and R. Best regards, Andrea d’Avella and the Organizing Committee -- Andrea d'Avella, Ph.D. Professor of Physiology Department of Biology University of Rome Tor Vergata, Rome, Italy Team leader Laboratory of Neuromotor Physiology IRCCS Fondazione Santa Lucia, Rome, Italy -- <http://www.hsantalucia.it/5x1000-sostieni-la-nostra-ricerca> Le informazioni contenute in questo messaggio e negli eventuali allegati sono riservate e confidenziali. Il loro utilizzo è consentito esclusivamente al destinatario del messaggio, per le finalità indicate nel messaggio stesso. Qualora Lei non fosse la persona a cui il presente messaggio destinato, La invitiamo ad eliminarlo dal Suo sistema ed a distruggere le varie copie o stampe, dandocene gentilmente comunicazione. Ogni utilizzo improprio e'contrario ai principi del D.Lgs. 196/2003 e del Regolamento UE 2016/679. The information contained in this message as well as the attached file(s) is confidential/privileged and is only intended for the person to whom it is addressed. If the reader of this message is not the intended recipient or the employee or agent responsible for delivering the message to the intended recipient, or you have received this communication in error, please be aware that any dissemination, distribution or duplication is strictly prohibited, and can be illegal. Please notify us immediately and delete all copies from your mailbox and other archives. *Rispetta l'ambiente: se non ti è necessario, non stampare questo messaggio - Please consider the environment before printing this email.*

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Deadline approaching: Workshop of Ideas in Neuroscience - What is a neuron?
by Mateusz Kostecki March 30, 2026

March 30, 2026

Hello! We would like to remind you that the deadline to apply for our workshop - What is a neuron? - is due tomorrow, April 2nd! The goal of this series is to take a fresh look at the basic assumptions held in our field. In the first workshop, we will ask the most fundamental question: *What is a neuron? *What properties should a cell have to be defined as such? An answer to this question may seem obvious at first: it has to be a cell that uses electrical signals, is connected to other neurons by synapses, and has extended processes—axons and dendrites. But the deeper we dig, the more challenging counterexamples we encounter: clearly non-neural cells using action potentials; neurons without axons or dendrites; or whole nerve nets in jellyfish that form a syncytium. And what defines a neuron during development, and how do its developmental pathways differ from those of other cells? Can we draw clear boundaries between neural and non-neural states? Things are no easier in an artificial neural network: what exactly is a processing unit in an ANN? How does it correspond to a biological neuron, and what can we learn from these models? The aim of this workshop is to look closely at different ways of defining a biological or artificial neuron and try to have a fresh look at our basic assumptions. This workshop will be held in the spirit of our Schools of Ideas—with an informal atmosphere, open exchange of thoughts and perspectives, in-depth talks, and plenty of space for discussion. Speakers: Clarisse Brunet (Institut Curie) Thibaut Brunet (Institut Pasteur) Bassem Hassan (Paris Brain Institute) Fred Keijzer (University of Groningen) Aneta Koseska (Max Planck Institute for Neurobiology of Behavior) Ines Samengo ( Instituto Balseiro) The workshop will be held Jun 3-5th 2026 in Paris. Please find more info and the application form here - https://nenckiopenlab.org/neuron/ With best wishes, 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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ICNCE 2026 - Abstract submission closes April 3rd!
by Abigail Morrison March 30, 2026

March 30, 2026

Dear Colleagues, Here is a reminder about the second International Conference on Neuromorphic Computing and Engineering (ICNCE 2026). ICNCE 2026 will be held in Aachen, Germany, from June 28–July 2, 2026 (https://icnce-2026.de<https://icnce-2026.de/>). Note that the conference was extended one day (June 28) for tutorials! The call for abstracts is *still open for poster or oral contributions and closes on April 3 (AoE)*. Please submit a one-page PDF of your abstract according to the submission guidelines. You will be notified about the acceptance and the type of your contribution (poster or oral) by April 30. The submission guidelines can be found on the conference website. ICNCE brings together a community of researchers—from students and postdocs to leading experts in academia, startups, and industry—to advance the understanding and engineering of brain-inspired computing technologies. It will span the fields of electrical engineering, neuroscience, information technology, materials science, physics, artificial intelligence, philosophy, and ethics. The first ICNCE (2024) was a highly successful event that gathered over 500 participants across academia and industry. The location is the Eurogress Aachen, in the heart of the historic city of Aachen, with close connections to RWTH Aachen University and nearby Forschungszentrum Jülich. Submission details can be found here: https://iffindico.fz-juelich.de/event/28/abstracts/#submit-abstract You can also find this link and further information on our website (https://icnce-2026.de<https://icnce-2026.de/>). For any other questions, please write to info(a)icnce-2026.de<mailto:info@icnce-2026.de>. We look forward to welcoming you to Aachen! Abigail Morrison, on behalf of the Organizing Committee of ICNCE 2026 (Regina Dittmann, Bastian Leibe, Max Lemme, Abigail Morrison, Emre Neftci, John Paul Strachan) -- Prof. Dr. Abigail Morrison Computation in Neural Circuits Institute for Advanced Simulation (IAS-6) Jülich Research Center & Software Engineering Faculty of Computer Science RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.se-rwth.de Office: +49 2428 8097504 Fax # : +49 2461 61-9460 Pronouns: she/her ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellv. Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Deadline Extended – Full In-Person Advanced Neural Data Analysis and Neuroinformatics School (ANDA‑NI)
by Michael Denker March 26, 2026

March 26, 2026

Deadline Extended – Full Advanced Neural Data Analysis and Neuroinformatics School (ANDA‑NI) still has availability (with In‑Person Retreat) Online: June 19-26, 2026 and June 22-26, 2026 In-person: July 27-31, 2026 FullSchool Application Deadline (new): April 12, 2026 We have a few spaces remaining for the *in‑person retreat*of the 2026 Advanced Neural Data Analysis and Neuroinformatics School (ANDA‑NI), a program designed for students and researchers in neuroscience who want to deepen their expertise in data analysis and neuroinformatics at the cellular and network levels (spiking activity, local field potentials). This *full ANDA‑NI program* includes both online modules ("ANDA" and "NI") and the in‑person retreat. *Why attend? *- Gain hands-on experience in analyzing and managing electrophysiological datasets that you bring to the school. - Master neuroinformatics techniques to facilitate reproducible, high-impact research. - Work closely with experts in the field. * Program Structure **of **ANDA-NI 2026:* *ANDA: Advanced Neural Data Analysis* (June 15–19, 2026) /Online/ – Dive into advanced topics in neural data analysis, including correlation analysis, population analysis, spectral methods, cortical variability and more. *NI: Neuroinformatics* (June 22–26, 2026) /Online/ – Focus on best practices for data management, sharing, and reproducibility. *ANDA-NI Retreat* (July 27–31, 2026) /In-person/ – Deepen your skills and collaborate intensively on your datasets (requires completion of ANDA & NI modules).* * *Who is this school for?:* Graduate students, postdocs, and researchers in neuroscience, computational neuroscience, and related fields. 🔗 *Apply now:* _https://andani.info_ /Limited spaces available/ We’d love to have you join us.

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Research assistant post: neural computations of foraging decisions. University of Nottingham (UK)
by Mark Humphries (staff) March 26, 2026

March 26, 2026

Mark Humphries’ lab<https://www.humphries-lab.org> at the University of Nottingham is seeking a research assistant to join a project on the neural computations of foraging decisions, in collaboration with the groups of Matthew Apps (Birmingham) and Nathan Lepora (Bristol). Whether choosing to leave one shop for another, switching TV programs, or seeking berries to eat, humans and other animals make endless stay-or-leave decisions, but how we make them is not well understood. The goal of this project is to find out if there is a common decision algorithm for leaving across species and what that algorithm is. You will create predictions for how foragers should vary in their stay-of-leave decisions for different types of decision algorithm, and test them using data from humans and rodents tackling foraging tasks. You will have some experience in computational modelling of behaviour, such as decision-making models or reinforcement learning, and good programming skills. The post is for up to 7 months, and would suit predoctoral candidates seeking research experience. Unsure if you're a good fit for the post? Got any questions? Then contact Mark for a chat: mark.humphries(a)nottingham.ac.uk<mailto:.humphries@nottingham.ac.uk>. For full details of the role and how to apply https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI492126 Closing date: April 21st 2026 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Registration is open for participants, Deadline 15. April – Curiosity Summer School 2026 (20–24 July, Göttingen)
by Cremer, Maren Monika March 26, 2026

March 26, 2026

Registration is now open ! We are delighted to announce that the Curiosity Summer School 2026, organized by the RTG 2906 Curiosity<https://www.uni-goettingen.de/en/681631.html>, will take place from 20–24 July 2026 at the University of Göttingen, Germany. Please feel free to share this announcement within your networks, including matching mailing lists. Applications will be open until April 15th 2026 here https://events.gwdg.de/e/CSS The Summer School aims to provide doctoral researchers with a comprehensive and interdisciplinary perspective on the topic of curiosity, while also creating a platform for active exchange and collaboration between junior and senior scientists. This year, we will welcome an outstanding group of scientists who will contribute both lectures and hands-on workshops, including George Loewenstein, Mehdi Khamassi, Kou Murayama, Alejandro Sánchez-Amaro, Sebastian Haesler, and others. Applications will be open until April 15th 2026. We encourage you to visit https://events.gwdg.de/e/CSS for the most up-to-date and official information regarding the program, speakers, application process, and schedule. You can also follow us on LinkedIn<https://www.linkedin.com/company/research-training-group-2906-curiosity/> and Bluesky<https://bsky.app/profile/rtg2906-curiosity.bsky.social> for further updates. If you have any questions, please do not hesitate to contact us at curiosity-school(a)uni-goettingen.de<mailto:curiosity-school@uni-goettingen.de>. We look forward to welcoming you to Göttingen in July. Best wishes, On behalf of the Curiosity Summer School 2026 Organizing Team University of Göttingen - Research Training Group 2906 Curiosity Links Applications here https://events.gwdg.de/e/CSS RTG2906 Curiosity https://www.uni-goettingen.de/en/681631.html LinkedIn https://www.linkedin.com/company/research-training-group-2906-curiosity/ Bluesky https://bsky.app/profile/rtg2906-curiosity.bsky.social

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Postdoctoral Position in Computational and Cognitive Neuroscience
by rmgr＠bu.edu March 25, 2026

March 25, 2026

Postdoctoral Position in Computational and Cognitive Neuroscience: Flexible, Theory-Driven Research Program on Human Perception and Cognition We invite applications for a postdoctoral research position in our lab at Boston University, directed by Rob Reinhart (website: https://reinhartlab.org/) Our work focuses on the computational and neural mechanisms of human perception and cognition. This position is supported by fully flexible research resources, offering an unusually high degree of freedom to co-develop a research program that most excites the postdoc and draws deeply on their expertise, in close intellectual partnership with the PI. The lab is fundamentally a basic science training environment, oriented toward building representational computational accounts of cognition. Our central goal is not merely to describe behavior and its correlates, but to identify and test the internal representations and operations that constitute the cognitive phenotype, and to articulate the causal mechanisms by which these representations are implemented in neural systems. Research Approach Our work aims to integrate: (1) Causal perturbation of neural systems, including high-definition transcranial alternating current stimulation (HD-tACS) and temporal interference (TI) stimulation, to directly test mechanistic hypotheses. (2) Computational modeling across levels, including: Electric field models, Formal and normative models, Cognitive models, Neural spiking models and neural mass models. (3) Rich, theory-driven experimental design, using behavioral measures (e.g., psychophysics, eye movements) that feed directly into computational models, with behavior serving as a window into latent representational structure rather than an endpoint of interest. (4) Human neuroscience methods, including EEG and fMRI, integrated with perturbation and modeling. (5) Advanced machine learning and multivariate analysis, including representational similarity analysis (RSA), multivariate decoding and encoding models, pattern component modeling (PCM), cross-validated model comparison, dimensionality-reduction and manifold-learning methods, regularized and probabilistic models, and related techniques for interrogating representational geometry and latent structure in neural and behavioral data. Intellectual Environment The lab values theoretical clarity, mechanistic explanation, and close coupling between experiment and model. We are especially interested in candidates who think carefully about: (1) What representations are being computed? (2) What operations transform them? (3) How these computations are implemented neurally. (4) How causal perturbation constrains theory. The postdoc will have substantial latitude to shape the direction of their research, develop new paradigms or modeling approaches, and pursue questions that cut across cognition, computation, and neuroscience. Qualifications We welcome applicants from a broad range of academic backgrounds relevant to the study of cognition, including cognitive neuroscience, cognitive science, neuroscience, psychology, and linguistics. Applicants with strong theoretical and computational training from related fields such as physics, applied mathematics, or computer science who are motivated to translate this expertise to questions in cognitive neuroscience are also encouraged to apply. Ideal candidates will have: (1) a strong interest in computational and mechanistic explanations of cognition; (2) experience with at least one of the following: computational modeling, EEG/fMRI, brain stimulation, advanced data analysis, or experimental design; and (3) a desire for deep, theory-driven training. Training and Career Development This position is designed as a launchpad for independent academic research careers, with the goal of preparing scholars for tenure-track faculty positions at R01 universities. Training emphasizes intellectual ownership, methodological breadth, and rigorous theoretical foundations, with close mentorship paired with strong encouragement to develop a distinctive research identity. The Reinhart Laboratory is embedded within a highly interdisciplinary research environment at Boston University, with connections spanning human neuroscience, electrophysiology, and computational neuroscience across Psychology, Neuroscience, Biomedical Engineering, Computer Science, and Mathematics. Dr. Reinhart holds a secondary appointment in Biomedical Engineering and is an active member of multiple interdisciplinary research centers that support cross-field collaboration and independent research development. The lab is affiliated with the Center for Research in Sensory Communication and Emerging Neural Technology (CReSCNT) and the Center for Systems Neuroscience (CSN), which together foster collaborative, theory-driven research linking neural mechanisms to behavior, computational modeling, and technological innovation. Through these centers, trainees have access to a broad intellectual community at Boston University and across the greater Boston-area research ecosystem. Applicants should send a short cover letter, CV, and names of three references to rmgr(a)bu.edu.

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