- Comp-neuro - lists.cnsorg.org

New preprint: Consciousness as neural topology (hard problem, constitutive claim)
by arthur.stewart＠neuravexium.com arthur.stewart＠neuravexium.com April 12, 2026

April 12, 2026

I would like to announce a new preprint on the neural substrate of consciousness. “What I Am Will Be? A Convergence A Topology of Neural Substrate, Structure, an Endomorphism: Consciousness Its Cells-Itself” Arthur Stewart (2026). Zenodo. DOI: 10.5281/zenodo.19342121 https://doi.org/10.5281/zenodo.19342121 The paper proposes that consciousness is constituted by synchronized flow across four neural loops, each operating on a distinct computational axis. The topology of the substrate (a four-node directed graph closing through endomorphism) is argued to generate the structural features philosophers associate with the hard problem: phenomenal immediacy, temporal presence, ownership, and qualitative character. These follow as consequences of the topology itself rather than requiring additional explanatory apparatus. The paper includes a systematic comparative critique of Global Neuronal Workspace, Integrated Information Theory, Thalamocortical Loop theory, and Predictive Processing/Free Energy Principle, identifying specific empirical and structural gaps in each. Eight discriminating predictions are offered that would distinguish this framework from existing accounts. The full paper is open access at the DOI above. Arthur Stewart

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Call for Papers: ICIST 2026, Coimbra, Portugal, October 1-6, 2026. Submission Deadline: May 15, 2026
by Nian Ashlee Zhang April 12, 2026

April 12, 2026

Following the success of previous events, the 16th International Conference on Information Science and Technology (ICIST 2026) will be held in Coimbra, Portugal, on October 1-6, 2026. Located between the two largest Portuguese cities, the conference site features a historic royal city with numerous historical buildings, classified as a UNESCO World Heritage site. ICIST2026 aims to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research and applications in neural networks and related fields. The symposium will feature plenary speeches given by world-renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. Technical Co-sponsor: IEEE Systems, Man and Cybernetics Society. Accepted papers will be included in the IEEE Xplore. When: October 1 - 6, 2026 (Coimbra, Portugal) - - - - - - - - - - - - - - - - - - - - Important Dates: Paper submission deadline: May 15, 2026 Notification of acceptance: June 15, 2026 Camera-ready copy and author registration: July 15, 2026 Abstract submission deadline: September 15, 2026 Website: https://conference.cs.cityu.edu.hk/icist/ - - - - - - - - - - - - - - - - - - - - Call for Papers and Special Sessions Prospective authors are invited to contribute high-quality papers to ICIST2026. Additionally, proposals for special sessions within the technical scope of the conference are solicited. Special sessions, organized by internationally recognized experts, aim to bring together researchers in specialized, focused topics. Papers submitted for special sessions are peer-reviewed using the same criteria as those for contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICIST2026. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers. - - - - - - - - - - - - - - - - - - - - Topic Areas: The topics of contributing papers include, but are not limited to, the following areas: Intelligent Control and Automation Autonomous systems, linear and nonlinear control, learning and adaptive control, intelligent control, optimization-based and optimal control, fault detection and identification, hybrid intelligent systems, networked control, fuzzy logic control, industrial automation, neural control, process control, robot control, mechatronic systems, environmental monitoring and control, intelligent manufacturing systems, microprocessor-based control, motor control, power systems, vehicle control, aerospace applications, and other applications. Intelligent Information Processing Machine learning, adaptive filtering, signal processing, audio/speech processing and coding, higher-order spectral analysis, nonlinear & blind signal processing, neural signal processing, component analysis, array signal processing, parallel and distributed processing, time series analysis, multimedia signal processing, design and implementation of signal processing systems, DSP implementations, embedded systems, image and multidimensional signal processing, image processing & understanding, computer vision & pattern recognition, bioimaging and signal processing, multimedia communications, computer vision & virtual reality, next-generation mobile communications, communication signal processing, modulation and channel coding, network coding, sensor networks, cryptography and information security, and other applications. - - - - - - - - - - - - - - - - - - - - Paper Submission Authors are invited to submit full-length papers (8 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere, and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have the opportunity to revise their papers, taking into consideration the referees’ comments and suggestions. All accepted papers will be submitted for inclusion into IEEE Xplore, subject to meeting IEEE Xplore’s scope and quality requirements. Selected high-quality papers will be included in several journal special issues.

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NEST Conference 2026 — Abstract Submission Deadline extended to 3 May
by Hans Ekkehard Plesser April 10, 2026

April 10, 2026

Dear colleagues, The abstract submission deadline for the NEST Conference 2026 has been extended to Sunday, 3 May. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. Do not miss out on contributing to this exciting event! The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. Take the opportunity to advance your skills in using NEST at our hands-on workshops! This year's conference will again take place as a virtual conference on Tuesday/Wednesday 16/17 June 2026. We are delighted to welcome * Marja-Leena Linne, Tampere University * Maxime Carriere and Fynn Dobler, Freie Universität Berlin * Agnes Korcsak-Gorzo, Forschungszentrum Jülich * Pablo Martínez Cañada, University of Granada as keynote speakers at the conference. For more information on how to submit your contribution, register and participate, please visit the conference website: https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Research Committee Chair, Faculty of Science and Technology Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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[ISCS 2026] Early Bird Ends April 20 — Register Now
by Hocine Cherifi April 10, 2026

April 10, 2026

🚨 *Last Days for Early Bird Registration – **ISCS 2026 <https://iutdijon.u-bourgogne.fr/ccs-france/>* 📍 *La Rochelle, France* | 🗓 *June 03–05, 2026* 🗓 *Early Bird Deadline: April 20, 2026 (in 10 days)* Early bird registration for the *International Symposium on Complex Systems (**ISCS 2026 <https://iutdijon.u-bourgogne.fr/ccs-france/>)* is closing soon. Join an interdisciplinary community working at the intersection of *complex systems, networks, AI, social sciences, neuroscience, and data-driven approaches*. ------------------------------ 🎤 Keynote Speakers - Kay Axhausen — ETH Zürich - Johan Bollen — University of Amsterdam & Indiana University - Tiziana Di Matteo — King’s College London - Chiara Poletto — University of Padova ------------------------------ 🔬 Workshops - *AI & Complexity* — emergent intelligence and multi-agent dynamics 🔗 More information: https://iutdijon.u-bourgogne.fr/ccs-france/ ------------------------------ ✅ Register Now 👉 https://iutdijon.u-bourgogne.fr/ccs-france/registration/ Take advantage of *reduced rates until April 20*. We look forward to welcoming you to *La Rochelle*. The organization Team Join us at COMPLEX NETWORKS 2026 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Université Bourgogne Europe Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/> Evolutionary Intelligence <https://link.springer.com/journal/12065>

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Full-time research assistant position in computational modeling of brain MRI
by Z S April 10, 2026

April 10, 2026

Dr. Sha’s lab (https://shazhiqiang.wixsite.com/sha-lab) at the University of South Carolina is seeking *a full-time Research Assistant (computation-focused)*. Our lab is affiliated with the Carolina Autism & Neurodevelopment Center, the Institute for Mind & Brain, and working closely with the McCausland Center for Brain Imaging in Columbia, the center of SC Metropolitan Statistical Area. Our lab explores the mechanisms of atypical brain development and neurodevelopmental disorders (e.g., autism spectrum disorders) by leveraging computation modeling to bridge neural circuitry, exposure (e.g., early life adversity) and psychopathological phenotypes, and treatment outcomes. These innovative projects will leverage state-of-the-art computational models and deep learning algorithms, supported by the Brain Imaging Center (with 3T and high-field 7T MRI scanners) and the Biobehavioral Research Center. This position provides an excellent opportunity for a motivated student to gain hands-on experience with neuroimaging (e.g., MRI) and computational modeling (e.g., deep learning models), making it ideal preparation for a future graduate or medical career. Research Assistant will be actively involved in the scientific process and are encouraged to contribute meaningfully to publications. We fully support research assistants in leading first-author publications and presenting their work at international conferences. Duties: · Computational modeling, construct deep learning models · MRI data processing, analysis; present results and publish papers · Manage daily administrative operations of the lab (e.g., scheduling and communication) Requirements: · Bachelor’s degree in a relevant science (e.g., computational neuroscience, math, data science, engineering, biostatistics, biomedical engineering and etc.) · Experience with clinical and MRI data collection and data analysis. Candidates with coding experience are preferred.

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Open Brain Institute Webinar # 2: Spines and Motif Participation
by Darshan Mandge April 10, 2026

April 10, 2026

Dear colleagues, Following our first webinar<https://www.youtube.com/watch?v=MSl16e9B7qY> on disease modelling, we are pleased to invite you to the second Open Brain Institute<https://www.openbraininstitute.org/> webinar: Topic: Spines and Motif Participation Speaker: Dr. Michael Reimann<https://www.linkedin.com/in/michael-w-reimann/> Date: Wednesday, April 29 Time: 13:30–14:30 (CET) Registration: https://events.teams.microsoft.com/event/286e8e3d-222e-4f89-bdb4-b0adc75653… Abstract Most excitatory synaptic connections in cortical circuits are formed on dendritic spines. Beyond their established role in synaptic plasticity, spines have been hypothesized to contribute to the formation of connectivity by enabling dendrites to contact more distant axons. This raises the possibility of a direct relationship between local network topology and spine morphology at the level of individual neurons. Understanding this relationship is central to explaining how structured, non-random connectivity emerges in cortical microcircuits. In this webinar, we will investigate this hypothesis using electron microscopy data from the MICrONS project within the Open Brain Institute Virtual Labs framework. Specifically, we will: * Analyze the MICrONS connectome using adjacency matrices and Python-based motif detection methods * Identify neurons with high participation in specific connectivity motifs * Reconstruct neuronal morphology using OBI skeletonization and spine extraction tools * Quantify spine density and morphology in relation to motif participation We will test the following hypotheses: * Neuronal participation in motifs is correlated with spine density * Synaptic participation in motifs is correlated with spine size This workflow provides a concrete connectomics pipeline linking network structure to synaptic anatomy. Finally, we will outline a follow-up study leveraging Virtual Labs for biophysical simulations of the reconstructed neurons, enabling investigation of how motif participation and spine structure influence synaptic integration. We hope you will join us for this session. Best Wishes, Darshan Mandge, PhD Scientist, Open Brain Institute, Lausanne, Switzerland 1005 https://www.openbraininstitute.org/ https://ch.linkedin.com/company/openbraininstitute

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1 postdoctoral position on NeuroAI available at the Institute for Neural Computation in Bochum, Germany
by xkobeleva＠gmail.com April 9, 2026

April 9, 2026

Dear all, I'm happy to announce a postdoctoral position on NeuroAI in our Computational Neurology lab located at the Institute for Neural Computation <https://www.ini.rub.de/> 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 a postdoctoral associate starting in Summer 2026 working on NeuroAI techniques, with a quantitative background and experience in interdisciplinary neuroscience research. Details can be found here: <https://www.ini.rub.de/the_institute/jobs/postdoctoral_position_80-100_fmd_ in_computational_neurology_1/> https://www.ini.rub.de/the_institute/jobs/postdoctoral_position_80-100_fmd_i n_computational_neurology_1/ , and if you have inquiries regarding the position, please reach out to me: <https://computationalneurology.com> https://computationalneurology.com via email. Feel free to forward to anyone who might be interested. Best regards Prof. Dr. Xenia Kobeleva

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Project Research Scientist Position at IIT Ropar.
by Sukrit Gupta April 9, 2026

April 9, 2026

Dear all, we are hiring a Project Research Scientist (Non Medical) at IIT Ropar for an ICMR project. Our lab does work with clinicians at multiple public hospitals in North India and this project is in collaboration with clinicians at PGIMER, Chandigarh. The project is funded for five years. We are looking for someone with a solid computer science and/or AI background. Detailed advertisement at https://iitrpr.ac.in/mainwebsite-api/uploads/advertisements/projects/177488… To apply, you can fill the form at: https://forms.gle/BCRp5w3mggLQw5K9A The selected candidate will be expected to enroll for a PhD at IIT Ropar. If you're interested you can drop me an email at sukrit(a)iitrpr.ac.in <sukrit.gupta(a)iitrpr.ac.in> Deadline for application is: 14 April, 2026. Regards, Sukrit ________________ Sukrit Gupta, BEng (CS, PEC, India), PhD (CS, NTU, Singapore) W: https://sites.google.com/site/sukritsite God, grant me the serenity to accept the things I cannot change, the courage to change the things I can, and the wisdom to know the difference.

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Computational Neuroscience / NeuroAI Postdoc fellowship in Paris (deadline 24 april, starting date mid 2027)
by Dmitrii Todorov April 8, 2026

April 8, 2026

For those interested in a postdoc fellowship in the center of Paris Sorbonne University helps candidates to prepare applications for a Marie Cure fellowship (EU Commission-funded). In particular you can apply with me as a supervisor if you are interested in working in one (or several) of the following * explainable machine learning for multivarite biological time series (espcially those coming from neuroscience, especially EEG/MEG). Including low-dimensional latent space-promoting architectures * dynamic neural representations of motor control (especially in humans) in general and motor learning in particular * data-driven whole human brain modeling (especially of cognitive and/or motor tasks) Eligibility rules: less than 8 years post PhD + satisfy mobility requirements (in particular you have to not have lived in France recently). See full info in the link below If you are interested, fill in the form on the Sorbone University website (see link below) Deadline (to declare interest at Sorbonne U website): 24 april Fellowship starting date: around mid 2027 Info + full eligibility criteria https://spam.inserm.fr/fmlurlsvc/?fewReq=:B:JVI2PTk7Nip6MT4iPCplaDE8PTY8PSp… Form to fill https://spam.inserm.fr/fmlurlsvc/?fewReq=:B:JVI2PTk7Nip6MT4iPCplaDE8PTY8PSp… Best regards, Dmitrii Todorov, PhD Junior Professor Chair (assistant professor at INSERM) Computational Neuroscience of Motor system group (CONEMOT) Neural Connectivity and Plasticity team Biomedical Imaging Laboratory ( INSERM U1146 / CNRS UMR 7371 / Sorbonne University ) 15 rue de l'École de Médecine 75006 Paris

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2 remote internship positions available at Tether Evo - BCI
by Matteo Ferrante April 7, 2026

April 7, 2026

We are opening *2 remote internship position t*o join our team at the forefront of *open research in NeuroAI*. Our work explores the intersection of artificial intelligence and brain-computer interfaces (BCIs), using both invasive and non-invasive neural recordings. As part of Tether Evo, you will contribute to high-impact, open-source projects focused on *encoding* and *decoding brain activity* leveraging AI. Our mission is to advance scientific understanding while building real-world applications for neural interfaces, guided by transparency, accessibility, and collaboration. *Projects*: 1) Compositional Structure in Speech-Related Neural Signals (6 months) — We are seeking an intern to investigate whether speech-related neural activity exhibits a compositional structure, where smaller reusable units such as phonemes combine to form larger units such as words. Recent work by Narasimha et al. in intracortical BCI has shown that neural activity underlying attempted handwriting contains reusable motif-like structure and that explicitly modeling this structure can improve decoding generalization and sample efficiency, particularly in low-data settings. Building on this idea, this project will ask whether an analogous organization exists in speech-related neural signals. A central challenge is that the available speech labels do not provide precise word- or phoneme-level timestamps, so the first phase of the project will focus on developing methods to segment continuous neural recordings into approximate intervals corresponding to individual speech units. Once such alignments are established, the project will analyze whether shared phonemic content across different words is reflected in shared neural structure—for example, whether the neural activity corresponding to the “book” portion of *NOTEBOOK* and *COOKBOOK* is more similar than the activity corresponding to their non-overlapping parts. 2) Bidirectional Modeling of Cursor Control from Human Intracortical Data *(3 months)* — This project will develop models for both decoding and simulating cursor-control neural activity from human intracortical recordings. Using publicly available datasets from Karpowicz et al. and Wilson et al., the first phase will focus on building a neural decoder that translates neural activity into cursor kinematics, including position and velocity. After achieving reliable decoding performance, the second phase will develop a neural encoder that predicts plausible neural activity from an intended cursor trajectory. The final goal is to integrate both models into a demonstration application that can simulate end-to-end cursor control, using either recorded neural data or synthetic neural activity generated by the encoder, and thereby provide a practical testbed for studying cursor BCI behavior in both real and simulated settings. *What We’re Looking For:* - Candidates doing a PhD in computational neuroscience, AI, computer science, mathematics or similar fields, towards the end of their program and that could enroll in a 3-6 months industry internship. Also exceptional MSc or people that finished their PhD in the last year are eligible for the positions. - Strong proficiency in Python and PyTorch. Experience with object-oriented programming and knowledge of *software engineering best practices for machine learning research (version control, testing, experiment tracking, reproducibility, and modular code design)*. Knowledge of HuggingFace transformers and diffusers interfaces. - Ability to efficiently implement methods from scientific papers - Research experience with invasive neural data or similar such as fMRI, EEG, MEG, ECoG - Excellent scientific communication and collaboration skills, publications in top-tier scientific journals or AI/neuroscience conferences are welcome. If you’re passionate about advancing neuroscience and AI through open, ethical, and impactful research, we’d love to hear from you. Positions are fully remote and applications are welcome from all over the world. Here is the link to apply: https://careers.tether.io/o/machine-learning-engineer-intern If you need more information, feel free to contact me ( matteo.ferrante(a)tether.io) and/or Michal (michal.olak(a)tether.io) Best, Matteo Ferrante Tether Evo BCI Team Lead

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One week left to apply - Neural Data Analysis Workshop before FENS forum, Jun 3-4, 2026
by Edoardo Balzani April 7, 2026

April 7, 2026

One week left to apply to our workshop on Neural Data Analysis with pynapple <https://pynapple.org/> & NeMoS <https://nemos.readthedocs.io/en/latest/#>! This July, right before the FENS forum, the Flatiron Institute Center for Computational Neuroscience of the Simons Foundation is hosting a hands-on workshop <https://www.simonsfoundation.org/event/ccn_fens2026/?swcfpc=1> on neural data analysis in Barcelona, Spain. *Workshop Details:* *What: *2-day workshop on pynapple <https://pynapple.org/> & NeMoS <https://nemos.readthedocs.io/en/latest/#> *When: *Jul 3–4, 2026 *Where: *Melia Barcelona Sky Hotel Pere IV, 272 - 286 Spain *Who:* Grad students & postdocs analyzing electrophysiology or calcium imaging data*. *Applicants located in Europe and Africa will be prioritized. Via live-coding and hands-on group projects, you will learn to: - Use pynapple for neural data manipulation and exploration - Build statistical models with NeMoS (powered by JAX with GPU acceleration) *Cost:* Accommodation & meals provided, no participation fees. Both packages are open-source Python tools developed at Flatiron CCN <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> to streamline neural data analysis and modeling. *Apply here:* https://simonsfoundation.formstack.com/forms/neural_data_analysis_workshop_… *Learn more:* https://www.simonsfoundation.org/event/ccn_fens2026/?swcfpc=1 Please feel free to share with anyone who might be interested! Best regards, Edoardo Balzani -- *Edoardo Balzani* Associate Research Scientist Center for Computational Neuroscience Flatiron Institute

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Online Workshop: Introduction to Neuronal Modeling | April 28, 2026
by Spiros Chavlis April 7, 2026

April 7, 2026

Dear colleagues and friends, PhD candidate Roman Makarov and Dr. Michalis Pagkalos from our lab are organizing a free online workshop on neuronal modeling! You will learn how to build, validate, and analyze neuronal models with active dendrites. We will begin with foundational concepts, including neuronal structure, biophysical properties, and input integration. We will then move to hands-on model implementation using DendroTweaks and Dendrify, two modeling tools developed in the Poirazi Lab (https://dendrites.gr/) Participation is free and open to everyone. No prior modeling experience is required, but some familiarity with Python might be helpful. When: Tuesday, April 28, 2026 | 10:00 AM CET Register here: https://forms.gle/txUzajvPBzDc1EvWA More info: workshop(a)dendrites.gr Best regards, Spiros Chavlis, PhD

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DEADLINE EXTENSION - 12th April - Conference on Artificial Life (ALIFE 2026)
by Stavros Anagnou [Student-PECS] April 1, 2026

April 1, 2026

Dear colleagues, We warmly invite you to submit your work to the annual Conference on Artificial Life (ALIFE 2026), taking place in Waterloo, Canada, and online from 17–21 August 2026. Full Papers & Summaries submission deadline: 30 March 12th April 2026 (EXTENDED) This year’s theme, “Living and Lifelike Complex Adaptive Systems”, welcomes contributions exploring the simulation and synthesis of life, complex adaptive systems, and life as it could be in other media or environments, and we encourage submissions across the full spectrum of Artificial Life research, including embodied intelligence, synthetic biology, artificial chemistry, evolutionary systems, robotics, sustainability, ethics, and more. Full Papers (3–8 pages) will be peer reviewed and published open access in the official ALIFE 2026 Proceedings by MIT Press. Summaries (max. 2 pages) should report on previously published, peer-reviewed work. Accepted summaries will be presented at the conference but will not be included in the MIT Press proceedings. All submission types, formatting templates (Overleaf, LaTeX, MS Word), and detailed guidelines are available at:https://2026.alife.org/call-for-papers<https://2026.alife.org/call-for-papers> We kindly ask you to share this call within your networks and institutions. You can also support the conference by following, sharing, and engaging with ALIFE 2026 updates on social media. We look forward to your submissions and to welcoming you to ALIFE 2026. Sincerely, The ALIFE 2026 Organizing Committee https://2026.alife.org<https://2026.alife.org> ----------------------------------------------------- Follow us on social media for conference updates, and don’t forget to like and share. Help us spread the word and reach as many colleagues as possible — feel free to share within your networks and communities. https://www.linkedin.com/company/alifeconf<https://www.linkedin.com/company/alifeconf> https://bsky.app/profile/alifeconf.bsky.social<https://bsky.app/profile/alifeconf.bsky.social> https://www.facebook.com/ALIFEconf<https://www.facebook.com/ALIFEconf> https://x.com/ALifeConf<https://x.com/ALifeConf>

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Call for applications: 2026 School on Analytical Connectionism
by I-Chun Lin April 1, 2026

April 1, 2026

Topical focus: Language Acquisition August 17–28 2026; Chalmers University of Technology, Gothenburg https://www.analytical-connectionism.net/school/2026/ Apply by 17 April 2026 We are delighted to announce the 4th edition of the School on Analytical Connectionism. This 2-week course will focus on analytical theories of cognition, bringing together ideas from connectionism, cognitive science, and modern theories of machine learning. This course is appropriate for graduate students, postdoctoral fellows and faculty in fields from psychology and neuroscience, to physics, computer science, and mathematics. This year we will discuss questions like: - How can structured linguistic knowledge emerge from learning? - What theoretical principles govern generalisation, compositionality, and representation in neural systems? - How can we move beyond empirical demonstrations toward mechanistic, mathematically grounded explanations of cognitive phenomena like language acquisition? The course will bring together neuroscience, psychology, and machine-learning communities, introducing participants to connectionist theories of higher-level cognition and psychology as well as analytical methods for neural-network analysis. Participants will work in teams, mentored by course lecturers and organisers, to develop novel research projects on topics related to analytical connectionism. Participants will present the research proposals in Week 1 and interim results at the end of the course. Confirmed Faculty: - Michael Biehl (University of Groningen) - Caroline Rowland (Max Planck Institute for Psycholinguistics) - Paul Smolensky (Microsoft Research & Johns Hopkins) - Marco Baroni (ICREA & Pompeu Fabra University) - Francesco Cagnetta (SISSA) - Alex Cristia (ENS & CNRS) - Bruno Loureiro (ENS & CNRS) - Kanishka Misra (UT Austin) - Isabel Papadimitriou (University of British Columbia) - Luca Saglietti (Bocconi University) - Asad Sayeed (Gothenburg University) - Larissa Samuelson (University of East Anglia) - Kenny Smith (University of Edinburgh) - Chris Summerfield (Oxford University) Organisers: SueYeon Chung, Erin Grant, Flavio Nicoletti, Stefano Sarao Mannelli, Andrew Saxe

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Research Position in Optical Quantum Neural Networks: OIST Neural Computation Unit
by Kenji Doya April 1, 2026

April 1, 2026

Neural Computation Unit at Okinawa Institute of Science and Technology Graduate University (Prof. Kenji Doya) has research positions open for developing learning algorithms and use cases for the optical quantum neural networks developed by the Moonshot R&D Project in optical quantum computers (lead by Prof. Akira Furusawa): https://optical-quantum-computers.jp/en/ While most quantum computers today resort to error correction of qubits, which is highly costly, this project aims to achieve efficient system-level computation despite noisy elements, like the brain appears to be doing. The specification of the current machine is described in this preprint (https://arxiv.org/abs/2506.16147) and the software development kit is open in GitHub (https://github.com/HidehiroYonezawa/mqc3) The machine is being upgraded to allow nonlinear (non-Gaussian) operations. Applicants should have strong background in mathematics, computer science, and/or machine learning. Experiences in quantum physics and/or computational neuroscience are welcome. If you are interested, please send your CV, publication list, research statement, and referees (up to three names with e-mail) using the application form from our web page: https://www.oist.jp/ncu ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://www.oist.jp/ncu

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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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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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CNeuro2026 Summer School in Computational Neuroscience, Beijing, July 2026
by Taniya Channa March 25, 2026

March 25, 2026

*CN**EURO**2026* *Theoretical and Computational Neuroscience Summer School* *7 to 14 July 2026 — Beijing, China* *This year: “C**ONNECTIONS BETWEEN **N**ATURAL* *AND **A**RTIFICIAL **I* *NTELLIGENCE**”* *www.cneuro.net* <http://www.cneuro.net> *Format* The course will bring together leading scientists in the field, who will deliver both introductory and advanced lectures, and take part in small-group discussions. Other activities will include homework sessions and student presentations, as well as the now popular “Life and Science” panel series, in which faculty and students can both share their personal experiences and views on research and career. *Faculty* Nathaniel Daw (Princeton University) Michael Häusser (The University of Hong Kong) Sukbin Lim (NYU Shanghai) Aravinthan Samuel (Harvard University) Haim Sompolinsky (Harvard University) Taro Toyoizumi (RIKEN Institute) Matthieu Wyart (EPFL and Johns Hopkins University) *Organizers* Rava Azeredo da Silveira (University of Basel and Unievrsity of Zurich) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University and Tsinghua University) Quan Wen (USTC) Hang Zhang (Peking University) -- *Disclaimer: This e-mail and any attached files may contain confidential and/or privileged information. If you are not the intended recipient (or have received this e-mail in error), please notify the sender immediately by replying to this e-mail and immediately complete the removal/destruction of this e-mail from your system. Any unauthorised copying, disclosure or distribution of the material in this e-mail is strictly forbidden.*

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PhD and Postdoc Jobs in Computational Neuroscience in Bonn
by Tatjana Tchumatchenko March 25, 2026

March 25, 2026

Dear friends and colleagues, the Tchumatchenko group at the University of Bonn has several open PhD and Postdoc positions, see ads [1] and [2] below. Please spread the word. Best, Tatjana Tatjana Tchumatchenko Professor for Computational Neuroscience of Behavior Institute for Experimental Epileptology and Cognition Research Medical Faculty, University of Bonn Am Propsthof 49 53121 Bonn www.tchumatchenko.de [1] PhD positions in Computational Neuroscience are available in the Tchumatchenko group at the University of Bonn. The Tchumatchenko Group is seeking highly motivated PhD candidates to conduct research in the field of computational neuroscience. We work at the intersection between mathematics and biology and use both pen-and-paper calculations as well numerical simulations and data analysis methods. The choice of the methods is driven by the topic at hand which is often a question related to the circuit-level function of neural networks and synaptic dynamics. Our group is one of the leading computational neuroscience teams in Europe and obtained competitive prizes and third-party funding from several funding sources and has a track record of successful theses and research papers completed by mathematics/physics students that did not have prior exposure to biology. The projects you could work on could focus on a mathematical study of multiple attractors, time series analysis, numerical fitting procedures or involve tool development in python for the analysis of neural activity data. On the most applied end, machine learning applications to image segmentation (mRNA and protein) and analyses of behavioral tracking data are conducted in our group. The ideal candidate will be a highly motivated, team-oriented graduate interested in either pen-and-paper calculations, numerical algorithms or machine learning applications. Candidates should be enthusiastic about working and learning in an interdisciplinary research team in which members come from diverse scientific backgrounds. Good communication skills, a strong work ethic, excellent command of the English language are essential. Please send your application with a cover letter, a CV, copies of all relevant degree certificates to tatjana.tchumatchenko(a)uni-bonn.de. All salaries according to the public German salary scale. Start date negotiable. Information about our group can be found here: www.tchumatchenko.de We are looking forward to your application! [2] Two postdoc positions (m/f/d) are available in the Tchumatchenko group. The Tchumatchenko Group is seeking to attract two highly motivated postdoc candidates to conduct research in the field of computational neuroscience. Prof. Tatjana Tchumatchenko was recently appointed a Henriette Herz scout at the Alexander von Humboldt foundation and is looking to attract two international postdocs though this funding scheme [https://www.humboldt-foundation.de/bewerben/foerderprogramme/henriette-herz…] The ideal candidate will be an international, highly motivated, scientifically curious postdoctoral fellow with a strong work ethic and a PhD degree in life sciences, Neuroscience, Physics, Mathematics, Engineering or similar disciplines who looking to answer open question in computational neuroscience. Great social skills, excellent command of the English language and enthusiasm for working in a competitive interdisciplinary research team are essential. Potential scientific projects could lie either at the boundary between behavioral analysis and circuit neuroscience or at the boundary between molecular dynamics and circuit neuroscience. How is the molecular dynamics organized across the brain and what are statistical differences across cell types? How can we relate learning at the level of synapses and circuits to behavioral changes observed in animals? Can we identify behavioral states and link them to particular circuit activity states? Please send your application together with a cover letter, a CV with contact details from one academic reference and copies of all relevant degree certificates to tatjana.tchumatchenko(a)uni-bonn.de. Please include in your subject line “AvH Application your name”. We are looking forward to your application! Duration and salary will be according to the fellowship scale of the Alexander von Humboldt foundation. Start date negotiable.

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