- Comp-neuro - lists.cnsorg.org

Independent young PI Position to lead the EEG Lab (University of Coimbra)

by Jorge Almeida

Dear all, Apologies for the cross-posting. We are seeking a researcher interested in establishing themselves as an independent PI under a 2–3 year contract in Portugal, to lead and further develop our EEG laboratory (256 Ch EEG AntNeuro) and a newly purchased fMRI compatible EEG to be used in our 3T MRI scanner. The successful candidate will oversee the EEG facility and will have substantial access to the equipment to pursue their own research program. There will also be opportunities for collaboration with other PIs in the department, including Jorge Almeida, Joana Carvalho, Jason Fischer, Pawel Tacikowski, Robert Whitwell, Zohar Tal, Ceren Battal, and Alfonso Caramazza, on joint EEG projects. Moreover, the PI will co-lead with Joana Carvalho the use of the fMRI compatible EEG to be used in the 3T MRI scanner. We are particularly interested in researchers who aim to build an independent research group (seed funding may be available) and who use EEG to investigate major cognitive processes from a fundamental science perspective and from a strong Cognitive Science perspective. In addition to EEG, the department provides access to TMS (Magstim Super Rapid² with Brainsight neuronavigation), tDCS systems, fMRI, eye tracking, motion tracking, and virtual reality equipment. This position is part of the major European-funded CogBooster initiative, which aims to establish a permanent team of cognitive neuroscientists within the Department of Psychology at the University of Coimbra. The current group is highly international and conducts research spanning low- and high-level vision, memory, attention, and action. If you — or someone you know — might be interested in this opportunity, please feel free to contact me. Best regards, Jorge

March 2, 2026

[Reminder] BAMB! 2026 Applications close March 6 (Friday)

by manuel molano

Dear colleagues, This is a final reminder that applications for the 6th edition of the Barcelona Summer School for Advanced Modeling of Behavior (BAMB! 2026) close this Friday, March 6th (midnight Pacific Time). Apply at: www.bambschool.org<http://www.bambschool.org> BAMB! 2026 (July 12–23) is an intensive two-week program in Barcelona for PhD students and postdocs in cognitive and computational neuroscience. Quick Highlights: * Curriculum: Reformulated for 2026 to cover the latest in Neuro-AI and behavioral modeling. * Format: Lectures, hands-on tutorials, and collaborative group projects. * Grants: Travel and childcare grants are available. * Keynotes: Megan Peters (UCI) and Marcelo Mattar (NYU). Don't miss the chance to join us in Barcelona this summer to master the art of modeling behavior! Best regards, The BAMB! 2026 Organizing Team info(a)bambschool.org

March 2, 2026

Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 20 March 2026

by Eugenio Piasini

Up to 6 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2026. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience group (https://phdcns.sissa.it/) hosts 7 research labs that study the neuronal bases of time and magnitude processing, neuronal foundations of perceptual experience and learning in various sensory modalities, motivation and intelligence, language, and neural computation. Our research is highly interdisciplinary; our approaches include behavioral, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open; please apply here (https://pica.cineca.it/sissa/phd-cns-01-2026/) The application deadline for the spring admission round is 20 March 2026 at 1pm CET. For more information on the procedure, see our admissions page (https://phdcns.sissa.it/admission-procedure) Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries.

March 2, 2026

Postdoctoral Researcher in AI for Mental Health — AHA Lab @ CUHK‑Shenzhen

by Prof. Sahba ZOJAJI (HSS)

Position: Postdoctoral Researcher (1 position) Lab/Unit: Augmented Humanity & AI (AHA) Lab, School of Artificial Intelligence (SAI), The Chinese University of Hong Kong, Shenzhen (CUHK‑Shenzhen) Location: Shenzhen, China | On‑site Term: 24 months, renewable based on performance and funding Start date: Flexible (target window: by June 2026) Summary The AHA Lab at CUHK‑Shenzhen invites applications for postdoctoral researchers in Artificial Intelligence for Mental Health and Therapy, with emphasis on multimodal LLMs that fuse language, facial, vocal, and physiological signals, social robotics for real-time affective interaction, and VR-based exposure and skills-training environments—all targeting transparent, trustworthy support for CBT and other evidence-based interventions. The postdoc will drive independent and collaborative research, publish at CHI/ACL/EMNLP/AAAI/ICLR/NeurIPS/TAC, and mentor students in a fast‑growing AI school. Responsibilities - Design and fine-tune multimodal LLMs that integrate language, facial, vocal and physiological data for real-time inference of affect, risk and therapeutic needs. - Develop social-robotic and VR prototypes that deliver CBT micro-interventions, exposure tasks or skills coaching, and evaluate usability and efficacy in lab and clinical settings. - Create interpretable, uncertainty-aware models that supply clinicians and patients with actionable explanations; ensure compliance with ethical, privacy and regulatory standards. - Collect, curate and analyze multimodal datasets (wearables, EEG/fMRI, smartphone logs, robot interaction logs, VR telemetry). - Lead papers and presentations at top venues; contribute to grant writing and open‑source releases. - Co‑supervise graduate students; collaborate within CUHK‑Shenzhen and external partners. Required qualifications - Ph.D. in Computer Science/AI/Computational Psychology, or related field by start date. - Strong publication record in top-tier AI conferences in HCI/NLP/ML/Digital Mental Health. - Familiarity with robot operating systems (ROS/ROS2) or Game engines (Unity/Unreal). - Proficiency with modern Deep Learning toolchains and NLP frameworks. - Ability to design and run human-subject studies. - Excellent scientific communication in English. - At the time of contract commencement, the age must be under 35. Preferred qualifications - Experience with Clinical multimodal data, mental-health metrics, CBT/DBT training or certification, Explainable/uncertain AI, federated/privacy learning, affect-driven robot dialogue or VR therapy. - Project leadership and mentoring experience. Compensation & benefits Competitive salary commensurate with experience; benefits per CUHK‑Shenzhen policy; travel support to major conferences. Application Submit as a single PDF: (1) CV with publications; (2) 1–2 page research statement; (3) up to 3 representative papers; (4) names/emails of 2–3 referees. Review begins: 15 March 2026; applications accepted until filled. Contact: sukiwang(a)cuhk.edu.cn<mailto:sukiwang@cuhk.edu.cn>

March 2, 2026

Postdoctoral Researcher in Speech & Language Processing — SLC Lab @ CUHK Shenzhen

by Prof. Sahba ZOJAJI (HSS)

Position: Postdoctoral Researcher (1 position) Lab/Unit: Spoken Language Communication (SLC) Lab, School of Artificial Intelligence (SAI), The Chinese University of Hong Kong, Shenzhen (CUHK‑Shenzhen) Location: Shenzhen, China | On‑site Term: 24 months, renewable based on performance and funding Start date: Flexible (target window: by June 2026) Summary The SLC Lab at CUHK‑Shenzhen invites applications for postdoctoral researchers in speech and language processing, with emphasis on simultaneous speech translation (SimulST), LLM‑based S2T/S2ST, simultaneous policy learning (RL/DPO), streaming alignment (CIF/monotonic attention/Transducer), and multimodal LLMs. The postdoc will drive independent and collaborative research, publish at ACL/EMNLP/AAAI/ICLR/ICASSP/INTERSPEECH//TASLP, and mentor students in a fast‑growing AI school. Responsibilities - Design/execute research on SimulST, streaming ASR/ST, S2ST, and multimodal LLMs. - Develop reproducible pipelines (PyTorch/JAX; Hugging Face; ESPnet/Fairseq/NeMo/SpeechBrain). - Lead papers and presentations at top venues; contribute to grant writing and open‑source releases. - Co‑supervise graduate students; collaborate within CUHK‑Shenzhen and external partners. Required qualifications - Ph.D. in EE/CS/Computational Linguistics or related field by start date. - Strong publication record in top-tier AI conferences in speech/NLP/ML. - Proficiency with modern DL toolchains and speech/NLP frameworks. - Excellent scientific communication in English. - At the time of contract commencement, the age must be under 35. Preferred qualifications - Experience with SimulST/read–write policies, RL/DPO/RLHF, CIF/CTC/monotonic attention, multilingual and low‑resource speech, evaluation (COMET, AL/ATD, WER/TER), robustness/accent/noise, prosody/voice, machine speech chain, and large‑scale training. - Project leadership and mentoring experience. Compensation & benefits Competitive salary commensurate with experience; benefits per CUHK‑Shenzhen policy; travel support to major conferences. Application Submit as a single PDF: (1) CV with publications; (2) 1–2 page research statement; (3) up to 3 representative papers; (4) names/emails of 2–3 referees. Review begins: 15 March 2026; applications accepted until filled. Contact: snakamura(a)cuhk.edu.cn<mailto:snakamura@cuhk.edu.cn>

March 2, 2026

World wide VVTNS series (6th season): Unsupervised representation learning by amortised neural message-passing | Wednesday, March 4, 2026, at 11:00 am ET - Lior Fox, Gatsby Computational Neuroscience Unit

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Lior Fox Gatsby Computational Neuroscience Unit on the topic of * Unsupervised representation learning by amortised neural * *message-passing* The lecture will be held on zoom on March 4 ,2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Useful internal representations should explain the patterns of regularities and dependencies among observations. Probabilistic graphical models promise a principled way to uncover latent factors as such, but they are hard to scale to handle high-dimensional sensory observations and complicated dependency structures. Neural-networks, on the other hand, excel at approximating complicated high-dimensional functions, but their internal representations do not easily lend themselves to a probabilistic interpretation. Despite some successes, a general unified approach is still missing for integrating the two approaches. I will describe a novel approach towards merging adaptive neural-network components into a probabilistic framework, based on three core ideas. The first is to train a set of networks to collectively perform inference, leveraging the ability of pattern-recognition methods to amortise complicated transformations. The second is to constrain the way in which the outputs of these networks are interpreted, transformed, and combined together. These constraints, together with the learning objective itself, are derived directly from probabilistic considerations encoded in a graphical model. Finally, the third core idea is that of recognition-parameterization, allowing the inference ("recognition") procedure to directly define the model itself, without requiring an explicit "generative" decoder. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ

March 1, 2026

ICIST 2026 – Call for Papers

by Nian Ashlee Zhang

The 16th International Conference on Information Science and Technology (ICIST 2026) will be held in Coimbra, Portugal, October 1-6, 2026. Topics include intelligent control and automation, artificial intelligence, machine learning, information processing, computer vision, networking, and information security. Submission deadline: May 15, 2026. Technically supported by IEEE SMC. Accepted papers are expected to be included in IEEE Xplore. Conference website & submission: https://conference.cs.cityu.edu.hk/icist/ Please feel free to share with interested colleagues.

Feb. 28, 2026

Re: Accepting applications: The Brain Prize Course - Computational and Theoretical Neuroscience 2026

by Maria Geffen

Dear Colleagues, The deadline for the Cajal course in Computational Neuroscience has been extended to March 9! We look forward to seeing you in sunny Lisbon this summer! Please apply. -Maria ________________________________ From: Maria Neimark Geffen <mariageffen(a)gmail.com> Sent: Friday, January 30, 2026 10:21 AM To: comp-neuro(a)lists.cnsorg.org <comp-neuro(a)lists.cnsorg.org> Subject: Accepting applications: The Brain Prize Course - Computational and Theoretical Neuroscience 2026 Dear Colleagues, I’m writing as a co-director of the upcoming CAJAL Advanced Neuroscience Training Course: The Brain Prize Course - Computational and Theoretical Neuroscience 2026, now open for applications. This intensive course is a unique opportunity for early-career researchers interested in this field. Hosted at the Champalimaud Centre for the Unknown, this three-week course focuses on bridging the gap between theoretical frameworks and experimental neuroscience. It provides intensive training in neural coding, network dynamics, and advanced data analysis, combining high-level lectures with hands-on Python-based projects to model complex brain functions and interpret large-scale neuronal datasets. 📍 Location: Champalimaud Centre for the Unknown, Lisbon, Portugal 📅 Dates: 13 - 31 July 2026 ⏳ Application Deadline: 27 February 2026 🔗 Apply now: https://form.jotform.com/Cajal_training/computational-neuro2026 Course Directors * Alfonso Renart - Champalimaud Foundation, Portugal * Julijana Gjorgjieva - Technical University of Munich, Germany * Maria Geffen - University of Pennsylvania, USA * Omri Barak - Technion, Israel Institute of Technology Course Themes & Topics: * Neural Modeling & Dynamics: Mastering the mathematical foundations of brain function, from single-cell biophysical models like Hodgkin−Huxley to the complex behavior of excitatory-inhibitory networks. * Neural Coding & Data Analysis: Learning how populations of neurons represent information using advanced computational tools like dimensionality reduction to decode large-scale neural datasets. * Cognitive & Normative Theory: Exploring high-level functions through Bayesian inference and reinforcement learning to understand how the brain optimizes decision-making and motor control. Speakers include: * Larry Abbott (Columbia University, USA) * Haim Sompolinsky (Harvard University, USA & Hebrew University of Jerusalem, Israel) * Susanne Schreiber (Humboldt University of Berlin, Germany) * Francesca Mastrogiuseppe (SISSA – International School for Advanced Studies, Italy ) * Il Memming Park (Champalimaud Foundation, Portugal) * Jakob Macke (University of Tübingen, Germany ) * Wiktor Młynarski (LMU Munich – Ludwig-Maximilians-Universität München, Germany ) * Laura Busse (LMU Munich – Ludwig-Maximilians-Universität München, Germany ) * Yiota Poirazi (IMBB–FORTH, Heraklion, Greece ) * Adrienne Fairhall (University of Washington, USA) * Agostina Palmigiano (Gatsby Computational Neuroscience Unit, UCL, UK) * Joe Paton (Champalimaud Foundation, Portugal) * Dmitri Chklovskii (Flatiron Institute, Simons Foundation, USA) * Brent Doiron (University of Chicago, USA) * Gilles Laurent (Max Planck Institute for Brain Research, Germany) * Alex Cayco Gajic (École Normale Supérieure – PSL, France ) * Rafal Bogacz (MRC Brain Network Dynamics Unit, University of Oxford, UK) ________________________________ Maria Neimark Geffen, Ph.D. (she/her) Professor Co-director, Penn Computational Neuroscience Initiative Department of Otorhinolaryngology: HNS (primary) Department of Neuroscience Department of Neurology Perelman School of Medicine University of Pennsylvania 5 Ravdin 3400 Spruce St. Philadelphia PA 19104 Tel.: 215.898.0782 My zoom<https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> mgeffen(a)pennmedicine.upenn.edu<mailto:mgeffen@pennmedicine.upenn.edu> http://hosting.med.upenn.edu/hearing https://bsky.app/profile/geffenlab.bsky.social

Feb. 27, 2026

CfP AISC 2026 - Natural and Artificial Intelligence: between Skills and Biases

by Luca Tummolini

*Call for Papers — AISC 2026* *https://www.aisc2026.com/ <https://www.aisc2026.com/>* *22nd Annual Conference of the Italian Association for Cognitive Science:* *Natural and Artificial Intelligence: between Skills and Biases* Torino, Italy — *September 9–11, 2026* The *Italian Association for Cognitive Science (AISC)* invites submissions for AISC 2026, an interdisciplinary forum for researchers in all areas of cognitive science. We particularly encourage submissions addressing skills and biases in both natural and artificial intelligent systems, but we welcome contributions from all areas of cognitive science, including theoretical, empirical, computational, philosophical, and interdisciplinary work that advances understanding of intelligence across biological, social, and artificial domains. ------------------------------ *IMPORTANT DATES* - *Deadline for Abstract Submission: 20 April 2026* - *Notification of Acceptance: 22 June 2026* - *Conference Dates: 9–11 September 2026* ------------------------------ *INVITED SPEAKERS* - *Francesca Garbarini *(University of Turin) - *Marco Marini* (ISTC-CNR – Winner of the AISC Early Career prize 2025) - *Carlotta Pavese* (University of Oxford) - *Walter Quattrociocchi* (Sapienza University of Rome) ------------------------------ Abstracts for talk or poster presentation (500 words references excluded, anonymized), or for symposia (2000 words, references excluded, with author details) must be submitted at the following link: *https://cmt3.research.microsoft.com/IACS2026/Submission/Index <https://cmt3.research.microsoft.com/IACS2026/Submission/Index>* For any questions about the submission process, please visit *https://www.aisc2026.com/calls-committees <https://www.aisc2026.com/calls-committees>* or reach out via the following email address: *aisc2026(a)outlook.com <aisc2026(a)outlook.com>* ------------------------------ TOPICS OF INTEREST: We accept submissions on all topics related to cognitive science, including (but not limited to): 4E cognition – artificial intelligence and cognition – bounded rationality and decision-making – cognitive architecture – cognitive biases and heuristics – cognitive modeling – cognitive neuroscience – cognitive psychology – cognitive and motor skills – cognitive robotics – collective intelligence and collective behavior – computational linguistics – computational social sciences – decision-making under uncertainty – deep neural models – developmental science – embodied and grounded cognition – expertise and know-how – epistemology – ethics of artificial intelligence and robotics – history of cognitive science – human–AI interaction – learning and adaptation in natural and artificial systems – natural and artificial consciousness – neuroethics – neurolinguistics – philosophy of biology – philosophy of cognitive science – philosophy of language – philosophy of mind – philosophy of neuroscience – philosophy of health and medicine – philosophy of technology – psycholinguistics – social cognition and social influence – social robotics – misinformation and information dynamics in networks ------------------------------ PROGRAM COMMITTEE - Fabrizio Calzavarini, University of Torino - Vincenzo Crupi, University of Torino - Marco Viola, Roma Tre University ORGANIZING COMMITTEE - Alessandro Demichelis, IMT School for Advanced Studies Lucca - Head of committee - Maddalena Costa, University of Torino - Alessandra Civani, University of Pavia - Lorenzo D'Errico, University of Torino - Niccolò Nanni, University of Torino SCIENTIFIC COMMITTEE - Carola Barbero (University of Torino) - Francesco Bianchini (University of Bologna) - Monica Bucciarelli (University of Torino) - Fabrizio Calzavarini (University of Torino) - Vincenzo Crupi (University of Torino) - Olga Dal Monte (University of Torino) - Federico D'Agata (University of Torino) - Edoardo Datteri (University Milano-Bicocca) - Sara Dellantonio (University of Trento) - Alessandro Demichelis (IMT School for Advanced Studies Lucca) - Elvira Di Bona (University of Torino) - Matteo Diano (University of Torino) - Francesco Ianì (University of Torino) - Antonio Lieto (University of Salerno) - Chiara Lucifora (LINK Campus University) - Claudia Mazzuca (Sapienza University of Rome) - Eugenio Petrovich (University of Torino) - Antonella Tramacere (University Roma Tre) - Luca Tummolini (ISTC-CNR) - Marco Viola (Roma Tre University) - Alberto Voltolini (University of Torino) -- ==================================== Luca Tummolini Istituto di Scienze e Tecnologia della Cognizione - CNR Via Giandomenico Romagnosi 18A - 00196 - Roma Personal Website: http://www.istc.cnr.it/people/luca-tummolini Lab Website: http://www.istc.cnr.it/group/mind Office: +39 06 44595 272 E-mail: luca.tummolini(a)istc.cnr.it

Feb. 27, 2026

Research Fellow - Deep Learning Theory & AI Safety

by I-Chun Lin

Closing date: 26 March 2026 We invite applications for a postdoctoral training fellowship under the guidance of Professor Andrew Saxe. The Saxe Lab works across the Gatsby Computational Neuroscience Unit and the Sainsbury Wellcome Centre and is focussed on understanding learning in biological and artificial systems. This role lies at the interface of deep learning theory and AI safety. You will conduct research into artificial deep networks using techniques from applied mathematics and statistical physics. A particular focus is on understanding how depth affects learned representations and network behaviour, with applications to AI safety including emergent misalignment, unlearning and the efficacy of safety fine-tuning. The project is a collaboration with the Sarao Mannelli group at Chalmers University of Technology, where additional Research Fellows will be based. Funding for collaborative visits is included. This post is funded for two years by a grant from OpenAI's Alignment Team, awarded by the UK AI Security Institute, through the Alignment Project. The appointment will be on the UCL Grade 7 salary scale £45,103 - £52,586. Grade 7 Research Fellows will also be eligible for a departmental allowance of up to £5,000 p.a. You should have a PhD in Computer Science, Physics or closely related discipline (Engineering, Theoretical Neuroscience, Mathematics) or have submitted your final thesis by the agreed start date of the position. A proven track-record of publishing work as a lead author relating to theory of deep learning or AI safety is essential as is a demonstrable interest in mathematical analysis of artificial neural network models. A demonstrable interest in AI safety and track record of running controlled empirical experiments on large deep network models on HPC or via frontier model APIs is desirable. For detailed information on the role and how to apply, please visit “UCL Job: B02-10169” (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=42098&jobTi…)

Feb. 26, 2026

Advanced Neural Data Analysis and Neuroinformatics School (ANDA-NI) 2026

by Michael Denker

Advanced Neural Data Analysis and Neuroinformatics School (ANDA-NI) 2026 Online: June 19-26, 2026 and June 22-26, 2026 In-person: July 27-31, 2026 We are excited to announce the launch of the *2026 Advanced Neural Data Analysis and Neuroinformatics school (ANDA-NI)*, a program targeted to students and researchers in neuroscience eager to deepen their expertise in data analysis and neuroinformatics in cellular and network-level electrophysiology (spiking activity, local field potentials). *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. *ANDA-NI 2026 is three modules to choose from:* *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 variabilityand 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.

Feb. 26, 2026

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

by Ella Striem-Amit

Dear Colleagues, Could you please post the following ad for a postdoctoral research fellow position in my lab? The application deadline is at the end of this month. Sorry for cross-posting. Thanks! Ella _____ *Postdoctoral Fellow in Brain Plasticity (Blindness/Deafness)* *Sensory & Motor Plasticity (SAMP) Lab — Georgetown University, Washington, DC* The SAMP Lab (PI: Ella Striem-Amit) investigates how experience shapes brain organization by studying people born with blindness, deafness, or without hands, using behavioral paradigms, computational methods, and state-of-the-art fMRI analyses. For more information, see samp-lab.facultysite.georgetown.edu <https://samp-lab.facultysite.georgetown.edu/research>. We seek a Postdoctoral Fellow to lead projects on individual differences in brain plasticity in congenital blindness or deafness. This includes testing how lived experience and compensatory strategies shape neural organization. *Required qualifications* - PhD (by start) in Neuroscience, Psychology, Cognitive Science, CS/EE/BME, or related fields. - Demonstrated fMRI expertise and solid statistics. - Strong programming skills (MATLAB, Python, or R). - *Preferred (but not required)* - Experience with brain plasticity, multisensory processing or development - Experience working with special populations and inclusive research practices. *Appointment & compensation* - Start window: Spring–Summer 2026 (flexible). - Initial term: 2 years, with the possibility of extension based on performance and funding. - Salary per NIH/Georgetown guidelines; full benefits. - The position is not limited to US citizens. *To apply* Apply - Interfolio <https://apply.interfolio.com/177838> *Diversity & inclusion* We welcome applicants from all backgrounds and are committed to an inclusive, accessible research environment. Georgetown University is an equal opportunity employer. Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex, disability status, protected veteran status, or any other characteristic protected by law. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity Lab (SAMP Lab) Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu

Feb. 25, 2026

Applications open for the Computational and Cognitive Neuroscience Summer School in Suzhou, China

by jorge.f.mejias＠gmail.com

Dear colleagues, We would like to let you know that the application period for the CSHA Computational and Cognitive Neuroscience Summer School are now open. If you know of any PhD students or early postdocs (in your own labs or elsewhere) interested in learning cutting edge computational neuroscience topics during three weeks in July in beautiful Suzhou, China, please let them know about this opportunity. The deadline for applications is April 1st: https://ccnss.net/ Our faculty list for this year includes top computational neuroscience researchers like Gustavo Deco, Rainer Goebel, Tatiana Engel, Naoshige Uchina, Cristina Savin, Xiao-Jing Wang, and many others. Students will also work on individual projects guided by experienced TAs (senior postdocs from top labs) and aided by the school’s faculty. On top of all the science, attending the school will give all participants the chance to explore China and the Shanghai region. Citizens from multiple countries (including many Europeans) don’t need a visa to travel and stay in China for up to 30 days (which covers the whole duration of the school). It’s truly a golden opportunity! Thank you very much in advance for your help in spreading this message. Best wishes, Jorge Mejias On behalf of the organizing committee: Xiao-Jing Wang (New York University) Áine Byrne (University of College Dublin) Chengcheng Huang (University of Pittsburgh) Songting Li (Shanghai Jiao Tong University) Jorge Mejias (University of Amsterdam)

Feb. 25, 2026

Postdoctoral fellows in computational neuroscience at the University of Chicago

by Jorge Jaramillo

Dear Comp-neuro community: The Grossman Center for Quantitative Biology and Human Behavior<https://neuroscience.uchicago.edu/GrossmanCenter> at the University of Chicago seeks outstanding applicants for multiple postdoctoral positions in computational and theoretical neuroscience. We especially welcome applicants who develop mathematical approaches, computational models and/or data analysis methods to study the brain at the circuits, systems, or cognitive levels. The Grossman Center faculty members to work with are: (informal enquiries are welcome) * Brent Doiron’s lab investigates how the cellular and synaptic circuitry of neuronal circuits supports the complex dynamics and computations that are routinely observed in the brain. (bdoiron(a)uchicago.edu<mailto:bdoiron@uchicago.edu>). * Stephanie Palmer’s lab studies how the behavioral goals of an organism shape how it senses the world, using a variety of tools from information theory and statistical physics. (sepalmer(a)uchicago.edu<mailto:sepalmer@uchicago.edu>). * Jorge Jaramillo’s lab investigates multiareal brain circuits underlying cognitive processes such as memory, attention, and decision making through dynamical systems modeling. (jorgejaramillo(a)uchicago.edu<mailto:jorgejaramillo@uchicago.edu>). * Ramon Nogueira’s lab investigates the geometry of representations as the computational support of cognitive processes like abstraction in noisy artificial and biological neural networks. (rnogueira(a)uchicago.edu<mailto:rnogueira@uchicago.edu>). * Marcella Noorman’s lab studies how biological constraints shape the neural circuit dynamics that enable flexible, efficient computations necessary for cognitive functions like navigation. (noormanm(a)uchicago.edu<mailto:noormanm@uchicago.edu>). * Samuel Muscinelli’s lab studies how brain circuit anatomy shapes learning and adapts to it. We combine modeling, machine learning, and data analysis with experimental collaborators. (smuscinelli(a)uchicago.edu<mailto:smuscinelli@uchicago.edu>) Appointees will have access to state-of-the-art facilities and multiple opportunities for collaboration with exceptional experimental labs within the Neuroscience Institute, as well as other labs from the departments of Physics, Computer Sciences, and Statistics. The Grossman Center offers competitive postdoctoral salaries in the vibrant and international city of Chicago, and a rich intellectual environment that includes the Argonne National Laboratory<https://www.anl.gov/>, Chicago’s National Institute for Theoretical and Mathematical Biology (NITMB)<https://www.nitmb.org/>, and UChicago’s Data Science Institute<https://datascience.uchicago.edu/> and Center for Living Systems<https://centerforlivingsystems.uchicago.edu/>. The Neuroscience Institute at UChicago is currently engaged in a major expansion that includes the incorporation of several new faculty members in the next few years. APPLICATIONS: Please send your application before April 4th, 2026, as a single PDF file to neurotheory(a)uchicago.edu<mailto:neurotheory@uchicago.edu>. It must include: 1. CV with publications highlighted; 2. A motivation letter specifying the types of projects you would like to work on; 3. The names and contact details of two academic references. Earliest start date: June 1st, 2026, or via mutual agreement.

Feb. 25, 2026

PhD position in Cognitive Neuroscience, Computational and Developmental Psychiatry, University of Tuebingen, Germany

by Susan Fischer

**Apologies for cross-posting** Dear colleagues, As part of our Wellcome-funded project “From premature to protracted decision-making: Neural mechanisms underlying transdiagnostic biases in deliberation” a PhD-student position is available in the "Developmental Computational Psychiatry" lab, led by Tobias Hauser at the University of Tübingen (Germany). The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The tasks of the available position include scientific research contributions that relate specifically to the purposes of this project and span neuroimaging (fMRI), behavioural testing, and computational modelling of behaviour. This project extends across multiple organisations, including the University Tübingen, the Max Planck Institute for Biological Cybernetics Tübingen, the University Hospital Hamburg-Eppendorf, Fundació de Recerca Clínic Barcelona-Institut d’Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS) and the National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore. For this purpose we are seeking applications from highly motivated students with an interest in computational neuroscience, cognitive (neuro-)science, or psychology. A good command of both English and German is required for this role. More information about the position can be found here: https://devcompsy.org/wp-content/uploads/2026/02/PhD_WT_2026.pdf The application deadline is March 13, 2026. Informal enquiries can be directed to Tobias Hauser (tobias.hauser(a)uni-tuebingen.de) Best regards, Susan. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & W3-Professorship ‘Computational Psychiatry’, Prof Tobias Hauser Eberhard Karls Universität Tübingen Equal Opportunities Officer Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 72076 Tübingen Germany ************************************************

Feb. 25, 2026

Postdoc in computational modelling of language processing

by Helmut Schmidt

Dear Colleagues, There is an open position for a postdoctoral researcher in computational neuroscience at the Institute of Computer Science of the Czech Academy of Sciences in Prague. The aim of this project is to develop computational models of cortical circuits that are biologically plausible and capable of language processing (specifically syntactic operations). This is a multi-site project, involving multiple partners in Germany. Further details and instructions on how to apply can be found here: https://www.cs.cas.cz/job-offer/Research-fellow-computational-neuroscience-… -- Helmut Schmidt Institute of Computer Science The Czech Academy of Sciences email: schmidt(a)cs.cas.cz web: https://www.cs.cas.cz/staff/schmidt/en

Feb. 25, 2026

[Call for Participants] IRCN Neuro-inspired Computation Summer Course, Tokyo, Japan, July 22-25, 2026

by nagai.yukie＠mail.u-tokyo.ac.jp

Dear colleagues, The World Premier International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo proudly presents the Neuro-inspired Computation Course, an intensive 4-day program exploring the convergence of neuroscience and artificial intelligence. The course is comprising lectures by distinguished international faculty, poster sessions, and interactive discussion sessions. Beyond academic content, the program offers exceptional networking opportunities with global experts and peers, fostering collaboration and innovation. Participants will have the chance to present their research, exchange ideas, and explore future directions in neuro-inspired computation. We invite applications from graduate students, postdoctoral researchers, and early-career faculty members from diverse backgrounds. Financial support is available for eligible participants. Join us to advance your expertise and contribute to a growing international community dedicated to understanding both the neuroscience and artificial intelligence. https://ircn.jp/en/events/ircncourse2026 = Course details = Dates: July 22 (Wed)-25 (Sat), 2026 Venue: Yayoi Auditorium Ichijo Hall, The University of Tokyo, Tokyo Japan Host: International Research Center for Neurointelligence (WPI-IRCN) Language: English Application deadline: April 6, 2026 15:00, JST = Speakers = Kazuyuki Aihara (WPI-IRCN, UTokyo) Mingbo Cai (U Miami) Arvind Kumar (KTH Sweden) Yasuo Kuniyoshi (IST/ WPI-IRCN, UTokyo) Hiroshi Makino (Keio U) Mackenzie Mathis (EPFL) Yukie Nagai (WPI-IRCN, UTokyo) Aditya Nair (NTU Singapore) Kenichi Ohki (WPI-IRCN, UTokyo) Rebecca Saxe（MIT） Jad Tarifi (Integral AI) Taro Toyoizumi (RIKEN CBS) Takamitsu Watanabe (WPI-IRCN, UTokyo) For enquiries, please contact: science-event_at_gs.mail.u-tokyo.ac.jp (replace "_at_" with @) We look forward to receiving applications from all over the world. If you know someone who might be interested, please kindly forward this information to them. Best regards, Yukie Nagai, on behalf of the organizing committees — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

Feb. 25, 2026

Neuromatch Academy Summer Courses

by Bonnen, Kathryn

Applications are open for Summer 2026. Become a student or a Teaching Assistant at Neuromatch Academy! Course options: • Computational Neuroscience — 6–24 July 2026 • Deep Learning — 6–24 July 2026 • NeuroAI — 13–24 July 2026 (advanced) • Computational Tools for Climate Science — 13–24 July 2026 ➡️ Apply now: https://portal.neuromatchacademy.org/sign-in Applications close 15 March. Learn more: https://neuromatch.io/courses/ What is Neuromatch Academy? 🧑‍💻 2- or 3-week intensive, fully synchronous virtual courses that teach core skills and techniques across computational science topics. 🧑‍🏫 Tutorial- and project-based learning, with participants matched into small pods of ~15 students, each supported by a dedicated Teaching Assistant for the full course duration Who should consider applying? • Advanced undergrads, MSc/PhD students, postbacs, research staff, and early-career folks • Anyone preparing for research that intersects neuroscience, machine learning, data science, and modeling • People who want structured, collaborative learning + a hands-on research project in a global cohort Cost / accessibility notes: • There is no cost to apply. • Tuition is adjusted by local cost-of-living, and tuition waivers are available during enrollment for those who need them. -- Kathryn Bonnen Assistant Professor, School of Optometry Indiana University kbonnen(a)iu.edu<mailto:kbonnen@iu.edu> https://bonnenlab.github.io

Feb. 24, 2026

Help shape Open Lab Online – International community survey

by Nada El Mahmoudi

Dear colleagues, Many of us have faced the same challenge of finding practical and accessible training in open source tools for neuroscience, whether for building behavioural setups, implementing closed loop experiments, classifying behaviour, segmenting imaging data, synchronizing devices, or analysing complex datasets. We believe these skills should be easier to access and shared more openly across institutions. Building on the initiative and experience of the Nencki Open Lab (https://nenckiopenlab.org/) we are launching Open Lab Online, a new international and community driven series of online, hands on workshops dedicated to open-source tools for neuroscience, including behaviour, experimental control, synchronization, and data analysis. Our goal is to extend the Open Lab spirit internationally through accessible online training and the exchange of expertise across labs and countries. To make this initiative truly useful, we need your input. Please take 5 to 10 minutes to complete the short survey below and let us know which tools, skills, and topics would be most valuable to you: https://docs.google.com/forms/d/e/1FAIpQLSd1dJxECfbr6geQMt9BtSpSPslq-zlHnd6… Your responses will directly influence the content and format of the upcoming workshops. If this resonates with you, please feel free to share the survey within your networks. Let’s build a more open, practical, and technically empowered neuroscience community together. Best regards, Nada El Mahmoudi & Mateusz Kostecki Open Lab Online Initiative Dr. Nada El Mahmoudi Post-doctoral researcher, Peyrache lab The Neuro (Montreal Neurological Institute) McGill University, Canada

Feb. 24, 2026

Call for Papers deadline 31 March - "Is Consciousness a Story We Tell Ourselves?" part of AISB at U Sussex 1/2 July.

by Conor Houghton

"Is Consciousness a Story We Tell Ourselves?" is a symposium planned as part of the AI and Simulated Behaviour Convention in the University of Sussex on 1 / 2 of July 2026. Consciousness may arise from, or be structured by, our ability to access and reason about internal representations through the internal use of language. The half-day symposium will address the question: "Is consciousness a story we tell ourselves?" by examining the relationship between consciousness, inner speech in humans and chain-of-thought reasoning in machines. Along with two panel discussion we will have a set of short contributed oral presentations; the deadline for these is 31 March with all decisions made by 15 April. See: https://astorywetell.github.io/ for details. We are still finalizing the panels for the panel discussions are there are still a couple of slots available if anyone would like to contact directly. All the best Con ______________________________ Conor Houghton SEMT, Bristol University. Michael Ventris Building, Woodland Road BS8 1UB, Bristol conorhoughton.github.io pronouns: he / him

Feb. 23, 2026

Tenure-Track Assistant Professor Position at NYU

by Jooyeon Kim

Tenure-Track Faculty Position New York University Arts & Science (A&S) Center for Neural Science Location: Center for Neural Science Open Date: February 20, 2026 https://apply.interfolio.com/182074 Deadline Review of applications will begin March 31, 2026 Description The Center for Neural Science (CNS) at New York University (NYU) invites applications for a full-time tenure-track faculty position as an Assistant Professor supported by the Simons Empire Faculty Program. We seek scholars who carry out innovative, rigorous, and impactful research in neuroscience. At the Center for Neural Science, faculty have broad interests in experimental and computational neuroscience as well as neuroengineering and methods-driven approaches, anchored in cognition, perception, and observable behaviors. The Center fosters a collaborative and inclusive environment that privileges excellence, through strong support and mentorship of new faculty, and one of the world’s top doctoral programs in neuroscience. The successful candidate will be expected to lead an internationally-recognized research program that effectively integrates knowledge and techniques across multiple levels of biological organization intended to gain an integrative understanding of cognition and observable behaviors, with a commitment to excellence in teaching and communication. Areas of particular interest include computational neuroscience, neuroengineering. We will only consider candidates doing experimental work that is integral to theory and engineering and do not require any significant wet lab space commitments. Center faculty are part of a vibrant neuroscience community spanning the Arts and Sciences at the Washington Square campus, the School of Medicine, and the Tandon School of Engineering. The successful applicant will join a collaborative neuroscience community spanning the Arts and Sciences at the Washington Square campus and the Tandon School of Engineering. More information about our department can be found at www.cns.nyu.edu. The appointment can begin as early as September 1, 2026, pending administrative and budgetary approval. Qualifications Candidates should have a PhD, MD, or equivalent degree, postdoctoral experience, and a strong record of research achievement. We will only consider candidates who have not yet held a faculty appointment. Appointees will establish their own independent research program, and contribute to the teaching of undergraduate and graduate students, and participate in administrative activities in the Center for Neural Science, the Neuroscience community, and NYU. Application Instructions Please provide the following materials through Interfolio: - Cover letter that includes a brief summary of your most significant research accomplishments. - Curriculum vitae. - Concise research statement (no more than three pages) that describes (a) your experience and qualifications and (b) your goals and vision for an independent research program, including possible links to the NYU research community. - Three recommendation letters, submitted by the referees through Interfolio dossier services. - Copies of at least three representative publications. - Teaching statement (no more than two pages), which includes concrete steps you have taken and that you are planning to take to foster an inclusive intellectual environment for the NYU student population. For any questions, please contact Jooyeon Kim: jk3062(a)nyu.edu. Arts & Science at NYU is at the heart of a leading research university that spans the globe. We seek scholars of the highest caliber who are sensitive to the needs of and possess an interest in working in a broad academic community with different viewpoints and backgrounds. NYU affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach. To learn more about the Arts & Science commitment to inclusive excellence, please read here: https://as.nyu.edu/departments/facultyexcellence.html. Employment Opportunity Statement For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels. Sustainability Statement NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability Pay Transparency In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $100,000 - $150,000. New York University considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer. -- Jooyeon Kim Assistant Director I Center for Neural Science New York University I 4 Washington Place, Meyer 623, New York, NY 10003 Center for Neural Science <https://as.nyu.edu/departments/cns.html> *(o) *212.992.9692 jk3062(a)nyu.edu

Feb. 23, 2026

Modeling of Disease Mechanisms in the Open Brain Institute Virtual Labs

by Mathieu Chambon

WEBINAR From Ion Channel Mutations to Neuronal Dysfunction<https://events.teams.microsoft.com/event/cb12ab0e-3614-4783-b31e-c2a375c77c…> Modeling of Disease Mechanisms in the Open Brain Institute Virtual Labs [cid:0274f914-8f72-4cdc-b415-c5867f5ca8f1]<https://events.teams.microsoft.com/event/cb12ab0e-3614-4783-b31e-c2a375c77c…> Webinar | From Ion Channel Mutations to Neuronal Dysfunction | 🗓️ 📌 Register<https://events.teams.microsoft.com/event/cb12ab0e-3614-4783-b31e-c2a375c77c…> Speaker : Darshan Mandge<https://www.linkedin.com/in/darshanmandge/> ⁉️ How do single-gene ion channel mutations lead to neuronal dysfunction and neurological disease? In the first webinar of our new series, we explore how pathogenic variants—such as the R581Q mutation in KCNQ2—can be transformed into predictive, multiscale brain models. 💡 Join us for a live demonstration of our Virtual Labs, where experimental data, biophysical modeling, simulation workflows, and AI-assisted discovery come together to bridge genes, neurons, and networks. 🔍 Stay to the end for a quick Frontiers spotlight on Frontiers in Neuroinformatics and Frontiers in Computational Neuroscience: learn more about journal scope, Chief Editors, and opportunities for open collections and community collaborations. [cid:91580b42-17b1-4314-8d68-c28811e0faa2]<https://events.teams.microsoft.com/event/cb12ab0e-3614-4783-b31e-c2a375c77c…> Follow the Open Brain Institute<https://www.openbraininstitute.org/> Linkedin<https://www.linkedin.com/company/openbraininstitute/> - Bluesky<https://bsky.app/profile/openbraininst.bsky.social> - YouTube<https://www.youtube.com/watch?v=Db_Te1HDsro> - X<https://x.com/OpenBrainInst> _ Mathieu Chambon Digital Designer +41 21 324 30 30 [Open Brain Institute logo] <https://openbraininstitute.org> [Linkedin logo] <https://www.linkedin.com/company/openbraininstitute/> [BlueSky logo] <https://bsky.app/profile/openbraininst.bsky.social> [X logo] <https://x.com/OpenBrainInst> [X logo] <https://www.youtube.com/@openbraininstitute> Avenue du Tribunal-Fédéral 34, 1005 Lausanne, Switzerland _ Mathieu Chambon Digital Designer +41 21 324 30 30 [Open Brain Institute logo] <https://openbraininstitute.org> [Linkedin logo] <https://www.linkedin.com/company/openbraininstitute/> [BlueSky logo] <https://bsky.app/profile/openbraininst.bsky.social> [X logo] <https://x.com/OpenBrainInst> [X logo] <https://www.youtube.com/@openbraininstitute> Avenue du Tribunal-Fédéral 34, 1005 Lausanne, Switzerland _ This message may be confidential and may be subject to legal privilege. If you have reason to believe you have received this message in error, please do not disseminate or use any information in this message but delete it permanently and inform the sender by email. Neither the sender nor any intended recipient consents to the unauthorized use, disclosure, or dissemination of this message. Thank you.

Feb. 23, 2026

World wide VVTNS series (6th season): The hippocampus, spatial planning, generative models and memory consolidation | Wednesday, February 25, 2026, at 11:00 am ET - Neil Burgess University College London

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Neil Burgess University College London on the topic of *The hippocampus, spatial planning, generative models **and memory consolidation* The lecture will be held on zoom on February 25, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Much is known about the neural representations of current environmental location and direction within the hippocampal formation, but use of such a “cognitive map” requires the online representation of desired locations and how to get there, and the neural basis for this function has been more elusive. I will discuss how “theta sweeps” of place and grid cell firing encode the current location (at early phases of each theta cycle) while, at later phases, sampling around the forward direction during exploration and indicating the direction to desired locations during goal-directed navigation. I will show how a relatively simple attractor model captures these results, but requires inputs signalling movement-direction and goal-direction.I will discuss why it is useful to consider the hippocampus as a generative model (in which head-direction, rather than movement-direction, is required, to translate egocentric sensory inputs to allocentric latent representations and back again) in explaining its roles in both spatial cognition and memory consolidation. “Replay sequences” are thought to support offline consolidation, and likely resemble theta sweeps more than behavioural experience. I will finish (given time) by considering how human memory consolidation can be seen as extraction of latent variables from replay via self-supervised learning, and how this perspective explains aspects of human memory such as gist-based distortions, imagination and planning. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ

Feb. 22, 2026

PhD project in Strasbourg : Virtual Reality under neurostimulation

by Axel Hutt

--------------------------------------------------------------------------------------------------------------------------------- Gamma Multimodal Entrainment in Virtual Reality for Cognitive Enhancement in mental disorders --------------------------------------------------------------------------------------------------------------------------------- This PhD project develops a VirtualReality platform combining high-frequency neural entrainment with cognitive-emotional training to treat mental disorders. Synchronous observation of encephalographic data permits to identify neural biomarkers. The approach targets both primary symptoms and underlying neurocognitive deficits (attention, working memory) that impede traditional therapy. The project bridges immersive technology, computational neuroscience, and clinical psychology to pioneer a newclass of digital therapeutics for trauma. This project inherently combines expertise spanning computational neuroscience, clinical psychology, and immersive technology—domains that are essential but individually insufficient to address mental disorder treatment innovation. Two partner teams bring complementary and synergistic competencies: (i) the INRIA-team Nectarine (PI: Axel Hutt) provides foundational expertise in non-invasive neuromodulation and computational neuroscience. The team specializes in EEG signal processing, neural modeling, and biofeedback systems— technical competencies essential for designing the multimodal entrainment protocols, integrating real-time EEG recording with VR stimulation, extracting robust neurophysiological biomarkers, and developing closed-loop neuromodulation frameworks. (ii) the IGG team (PI: Antonio Capobianco) contributes human-centered Virtual Reality design, experimental protocol robustness, and user experience optimization. IGG expertise ensures that the VR platform deliversan engaging, safe, and immersive experience—critical for both participant tolerability and thevalidity of behavioral measurements. The project will be funded by ITI HealthTech ( [ https://healthtech.unistra.fr/ | https://healthtech.unistra.fr/ ] ) in Strasbourg, France [ https://healthtech.unistra.fr/ | . ] Principal Investigators: * Axel Hutt, Inria-team Nectarine ( [ https://team.inria.fr/nectarine/ | https://team.inria.fr/nectarine/ ] ) * Antonio Capobianco, iCube-team IGG ( [ https://igg.icube.unistra.fr/index.php?title=Accueil | https://igg.icube.unistra.fr/index.php?title=Accueil ] ) Please submit your usual application documents or request for more information to Axel Hutt (axel.hutt(a)inria.fr) or Antonio Capobianco (a.capobianco(a)unistra.fr) Deadline for application is March 13, 2026 -- Dr. rer. nat. Axel Hutt Directeur de Recherche Equipe NECTARINE - INRIA Nancy Center at University of Lorraine Equipe MLMS - iCube Strasbourg Bâtiment NextMed , 2, rue Marie Hamm 67000 Strasbourg, France

Feb. 20, 2026

Research Topic "Advances in Computational Modelling of Neurological Diseases" in Frontiers in Neurology

by Leonardo Abdala Elias

Dear Comp-Neuro Community, We would like to bring to your attention that the Research Topic "Advances in Computational Modelling of Neurological Diseases <https://www.frontiersin.org/research-topics/71934/advances-in-computational…>," hosted in Frontiers in Neurology, is currently open to article submissions. *Scope* This Research Topic seeks to spotlight recent advances in computational modeling of the nervous system under pathological conditions. By integrating mechanistic and data-driven methods, we aim to deepen understanding of neurological disease mechanisms and translate this knowledge into improved diagnostic and therapeutic strategies. The focus is on models that investigate dysfunction across nervous system levels, reveal latent pathophysiological mechanisms from patient data, and simulate the effects of interventions. *Topics (not limited to)* - Biophysical and neuronal network models of neurological disease mechanisms. - Simulation studies of disease progression or intervention outcomes. - Machine learning for the discovery of latent patterns and/or pathophysiological mechanisms in clinical or neuro-behavioral data. - Predictive models for clinical prognosis or treatment response. - Personalised and patient-specific models (e.g., 'digital twins') for capturing individual disease progression and/or targeted therapy. - Integration of computational models with molecular, neuroimaging, electrophysiological, and behavioral data. - Methodological advances and novel computational neuroscience/physiological approaches. *Deadline* February 27, 2026 *Topic Editors* - André Fabio Kohn, University of São Paulo - Francesco Negro, University of Brescia - Leonardo Abdala Elias, University of Campinas - Renan Cipriano Moioli, Federal University of Rio Grande do Norte

Feb. 18, 2026