- Comp-neuro - lists.cnsorg.org

Tenure-Track Assistant Professor Position at NYU
by Jooyeon Kim Feb. 23, 2026

Feb. 23, 2026

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

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Modeling of Disease Mechanisms in the Open Brain Institute Virtual Labs
by Mathieu Chambon Feb. 23, 2026

Feb. 23, 2026

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.

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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 Feb. 22, 2026

Feb. 22, 2026

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture 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

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PhD project in Strasbourg : Virtual Reality under neurostimulation
by Axel Hutt Feb. 20, 2026

Feb. 20, 2026

--------------------------------------------------------------------------------------------------------------------------------- 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

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Research Topic "Advances in Computational Modelling of Neurological Diseases" in Frontiers in Neurology
by Leonardo Abdala Elias Feb. 18, 2026

Feb. 18, 2026

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

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Research Assistant Position in MRI and computation modeling
by Z S Feb. 18, 2026

Feb. 18, 2026

Dear all, 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 assistants in leading first-author research projects 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., computer science, neuroscience, engineering, biostatistics, biomedical engineering and etc.) · Experience with clinical and MRI data collection and data analysis. · Candidates with coding experience are preferred. Please submit your CV to Dr. Zhiqiang Sha (zsha(a)mailbox.sc.edu)

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[ICANN 2026] - Paper Submission is Now Open!
by matteo.zavatteri＠unipd.it Feb. 18, 2026

Feb. 18, 2026

====================================================================== ICANN 2026 - Paper Submission is Now Open! ====================================================================== On behalf of the ICANN 2026 Organizing Committee, it is our great pleasure to invite you to the 35th International Conference on Artificial Neural Networks (ICANN) 2026, one of the premier conferences in the field of artificial intelligence, neural networks, neuroscience, and brain-inspired computing in Europe, organized in collaboration with the European Neural Network Society (ENNS). ICANN 2026 aims to be a transformative event with the dual track of Artificial Intelligence & Deep Learning and Neuroscience, encouraging cross-disciplinary collaboration among researchers, practitioners, and industry experts. The event will feature cutting-edge research presentations and keynote talks by leading experts, continuing its tradition as a global, dynamic, and interactive forum bridging academia and industry. Conference Dates: September 14 to September 17, 2026 Conference Venue: Conference center of the School of Psychology, University of Padua, Padua, Italy Conference Webpage: https://e-nns.org/icann2026/ Important Dates: - Paper Submission Open: 18 February 2026 - Deadline for full paper and abstract submission: 16 March 2026 - Final notification of Acceptance or Rejection: 29 May, 2026 - Camera-ready paper upload and author registration: 29 June 2026 List of Special Sessions: - Explainable Neurosymbolic AI (X-NeSy) - Perception frontiers with neuromorphic methods - Advances in Artificial Intelligence, Remote Sensing and Signal Processing for Urban and Earth Applications - Complexity, Robustness, and Accuracy of Neural Networks - Neural Networks for Graphs and Beyond (NN4G+ 2026) - Advances and Challenges in Predictive AI for Biomedical Data Analysis - Multimodal data fusion with large language models - Spiking Neural Networks and Neuromorphic Computing Submission Guideline: https://e-nns.org/icann2026/submission/ For questions, please contact: icann2026(a)e-nns.org -------------------------------------------------------------------------------- Davide Rigoni and Matteo Zavatteri Communicator Chairs On behalf of the General Chairs: Alessio Micheli, Nicolò Navarin, and Alessandro Villa --------------------------------------------------------------------------------

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Feb. 18, 2026

Dear All, You are welcome to attend the 25th rTAIM Online Seminar, with the participation of RICARDO RAMÍREZ-BARRANTES (Universidad Andrés Bello, Chile), 25 February 2026, 5:00pm - 6:30pm (Lisbon Time) via Microsoft Teams with the title “The Role of AI in Medicine: Computer Vision and Digital Pathology in Cancer Diagnosis". Link available: https://philevents.org/event/show/145446 or https://trustaimedicine.weebly.com/rtaim-seminars.html Or: * Link: https://teams.microsoft.com/meet/3139972006182?p=djrYRrda46zjYxUOH1 * ID Teams: 313 997 200 618 2 * Password: 8Qw7wS2R Call for Abstracts (Conferences): * 6th International Conference on Philosophy of Mind: Artificial Intelligence (6ICPH) 4-8 May 2026 (4-5 May, Online | 6-8 May, in-person), Faculty of Arts and Humanities, University of Porto (Portugal) is now open until the 29 March 2026. Link: https://philevents.org/event/show/143946 * Keynotes Speakers (confirmed): Anil Seth (Uni. Sussex), Diana I. Pérez (Uni Buenos Aires), Paul Thagard (Uni. Waterloo), Gloria Andrada (CSIC, Madrid), Miguel Pais-Vieira (Uni. Aveiro), Ângela Leite (Catholic Uni. Portugal) and Marina Trakas (CONICET | Uni. Lisbon) * 5th International Conference on Ethics of Artificial Intelligence (5ICEAI) 22-26 June 2026 (23-23 June, Online | 24-26 June, in-person), Faculty of Humanities and Social Sciences of the University of Zagreb (Croatia) is now open until the 15 May 2026. Link: https://philevents.org/event/show/145717 * Keynotes Speakers (confirmed): Roman V. Yampolskiy (Uni. Louisville), Emily E. Sullivan (Uni. Edinburgh), Vincent Blok (Wageningen Uni., Erasmus Uni. Rotterdam, 4TU Ethics), Siobhain Lash (West Virginia Uni.), Srećko Gajović (Uni. Zagreb), Devon Schiller (Uni. Vienna), Saša Horvat (Uni. Rijeka) Full information here: https://trustaimedicine.weebly.com/6icph.html and https://trustaimedicine.weebly.com/5iceai.html Forthcoming Books (pre-order): * “The Palgrave Handbook on the Ethics of Artificial Intelligence”, Palgrave. Info: https://link.springer.com/book/9783032151117. * “AI Ethics Explored: A Multidisciplinary Approach”, Bloomsbury. Info: https://www.bloomsbury.com/us/ai-ethics-explored-9781350543126. Sincerely yours, RTAIM Team

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Postdoctoral position in Development and Egocentric Vision.
by Bonnen, Kathryn Feb. 17, 2026

Feb. 17, 2026

Postdoctoral position in Development and Egocentric Vision. The Training Program in Integrative Developmental Processes at Indiana University invites applications for a T32-funded postdoctoral fellowship in Bloomington, Indiana. We seek highly motivated individuals interested in research at the intersection of development, vision science, and computer vision. The postdoctoral fellow will join a collaborative research environment dedicated to understanding developmental processes through egocentric vision in natural tasks, using advanced computational methods and multimodal datasets to advance developmental theory. Indiana University offers a highly interdisciplinary training environment with exceptional career development and mentoring opportunities. The position will be jointly mentored by Dr. Rowan Candy, whose research integrates behavioral, optical, and neuroscientific approaches to study typical and atypical visual development; and Dr. Kathryn Bonnen, a computational neuroscientist specializing in visuomotor coordination in natural tasks. The broader research community includes faculty from Computer Science (Dr. David Crandall, Dr. Zoran Tiganj), Informatics (Dr. Justin Wood, Dr. Samantha Wood), and Psychological and Brain Sciences (Dr. Linda Smith, Dr. Joshua W. Brown, Dr. Ehren Newman). Applicants should have strong computational skills and a background in one or more of the following areas: developmental science, vision science, neuroscience, motor control, computer science, psychology, or related fields. Eligibility: U.S. citizens or permanent residents who currently hold a doctoral degree or will have met all doctoral program requirements before enrolling. Applicants should send a cover letter describing their motivation for applying and a curriculum vitae to: Dr. Rowan Candy (rcandy(a)iu.edu<mailto:rcandy@iu.edu>) Dr. Kathryn Bonnen (kbonnen(a)iu.edu<mailto:kbonnen@iu.edu>) Position is available immediately and will remain open until filled. -- Kathryn Bonnen Assistant Professor, School of Optometry Indiana University kbonnen(a)iu.edu<mailto:kbonnen@iu.edu> https://bonnenlab.github.io

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Applications Open – 2026 Eresfjord Summer School in Computational Neuroscience
by Ines Samengo Feb. 17, 2026

Feb. 17, 2026

Applications are now *open* for the 2026 Eresfjord Summer School in Mathematical Methods in Computational Neuroscience, which will take place from July 6–24, 2026. The school provides in-depth training in mathematical and theoretical methods widely used in computational neuroscience, including: Information theory and statistical inference Statistical mechanics of neural networks Network dynamics Dimensionality reduction Applications to sensory and motor systems, navigation, and memory The program is primarily intended for PhD students, but advanced Master’s students (who will have defended before July 2026) and first-year postdoctoral researchers are also welcome to apply. There are no registration fees. Accommodation and meals will be covered for all selected participants. *Attendance for the full duration of the school is mandatory*. *Application deadline: March 15, 2026* Notifications will be sent by the end of April 2026. More information and the application form are available at: *https://www.compneuronrsn.org/ <https://www.compneuronrsn.org/>*

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Post-doc Postion at Computational Neuroscience Division (ULPGC)
by Carmen Paz Suárez Araujo Feb. 17, 2026

Feb. 17, 2026

Dear colleagues, I’m writing you to share an opportunity for obtaining a postdoctoral position The Marie Curie Chair in Computational Neuroscience at the Institute of Cybernetics, Enterprise and Society (Universidad de Las Palmas de Gran Canaria), led by Prof. Carmen Paz Suárez Araujo, is inviting applications for a postdoctoral position. This is a one-and-a-half-year, non-tenure-track position. Duties will involve research and supervision activities in the following areas: 1) neuro-AI; 2) determination of new functional biomarkers for Alzheimer's disease (AD) and other cortical dementias; and 3) intelligent decision systems for the diagnosis and prognosis of AD. The Marie Curie Chair is seeking outstanding candidates who have received a PhD in Computer Engineering, Electronic and Telecommunications Engineering, Biomedical Engineering, Bioengineering, Physics, or a related discipline. Titles obtained outside of Spain require validation or homologation certificates. Salary: €2,218.52 per month. The probable start date is 1 April 2026. Candidates will be graded on their merits up to a maximum of 10 points (3.5 for professional experience, 3.5 for scientific merits, 1.5 for additional knowledge and experience, and 1.5 for language proficiency). Certificates to justify these merits are mandatory. A job interview will be held with the three candidates who are ranked highest. To apply, please visit https://fpctserver.upe.ulpgc.es/convocatorias/index.php?lang=es Best Regards Prof. Carmen Paz Suárez Araujo

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Applications Open: BAMB! 2026, Barcelona Summer School for Advanced Modeling of Behavior
by manuel molano Feb. 17, 2026

Feb. 17, 2026

Dear colleagues, We are pleased to announce that applications are now open for the 6th edition of the Barcelona Summer School for Advanced Modeling of Behavior (BAMB! 2026). * Dates: July 12–23, 2026 * Location: Barcelona, Spain * Application Deadline: 6 March 2026 (midnight Pacific Time) * Apply at: www.bambschool.org BAMB! is an intensive two-week training program for PhD students and early-career researchers in cognitive science, computational neuroscience, and Neuro-AI who possess a strong computational background. For this new edition, we have reformulated the curriculum to address the rapid transformations currently occurring in computational neuroscience, ensuring the course remains at the cutting edge of advanced modeling. The school combines lectures, hands-on tutorials, and group projects to provide both the conceptual foundations and technical skills for the advanced modeling and analysis of behavior. The school is organized by the Centre de Recerca Matemàtica (CRM). Who should apply: The course is intended for PhD students and postdocs in cognitive, systems, and computational neuroscience with a solid background in computational or quantitative analysis. Proficiency in Python is required. We seek a diverse blend of experimentalists and theoreticians. A limited number of travel and childcare grants will be available. Scientists from underrepresented groups and countries are especially encouraged to apply. Topics covered: * Modeling fundamentals * Decision-making * Foraging and sequential decision-making * Reinforcement learning * Structure learning * Complex motor behaviors and time series Organizers: Alex Hyafil (CRM), Marion Rouault (CNRS, Paris Brain Institute), Heike Stein (CNRS, Sorbonne), Chris Summerfield (Oxford), Klaus Wimmer (CRM), Tarryn Balsdon (CNRS, ENS-PSL), Nisheet Patel (Axy), Manuel Molano-Mazón (UPC), Diksha Gupta (UCL), and Nuria Hernández (CRM). Keynotes: Megan Peters (UCI) and Marcelo Mattar (NYU). Guest Faculty: Mehdi Khamassi (ISIR, Sorbonne University) and Charley Wu (TU Darmstadt). We would be grateful if you could forward this announcement to interested students and colleagues. Best regards, The BAMB! 2026 Organizing Team info(a)bambschool.org @bamb-school.bsky.social ________________________________

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Reminder: Call for Application: Systems Vision Science Virtual Summer School & Symposium: July 8th – July 31st, 2026
by Pavlovic, Maria Feb. 17, 2026

Feb. 17, 2026

Systems Vision Science Virtual Summer School & Symposium: July 8th - July 31st, 2026 -------------------------------- Applications are invited for a <https://summerschool.lizhaoping.org/virtual-systems-vision-science-summer-s chool-symposium-2024/> virtual edition of the Systems Vision Science Summer School and Symposium that took place in Max Planck Institute for Biological Cybernetics in Tuebingen, Germany in August 2023 <https://summerschool.lizhaoping.org/editions-in-previous-years/> and August 2025 and virtual in 2024. This year, the virtual edition enables students to attend from afar by formal lectures via Zoom and informal and social communications via a Slack channel. Systems Vision Science combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. This summer school is designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models. The syllabus content will be very similar to the edition in 2024 <https://summerschool.lizhaoping.org/points-policies-prizes/> . Experience or knowledge in (A) computational methods, (B) visual psychophysics, and (C) vision neuroscience, is not required. However, experience in at least one of (A), (B), and (C), and a readiness to learn, is expected. The Summer School will be followed by a Systems Vision Science Virtual Symposium on July 31st. All admitted summer school students will be invited to attend this symposium and are encouraged to submit for a presentation at the symposium. The symposium will also feature two invited keynote presentations. A certificate of completion of the summer school course will be provided after the student's successful completion of the summer school. -------------------------------- Important Dates: March 28, 2026 Deadline for applications April 10, 2026 Notification of acceptance April 27, 2026 Registration fees due July 8 - Virtual Systems Vision Science Summer School takes place July 30, 2026 (formal lectures via Zoom and informal and social communications via a Slack channel) July 31, 2026 Virtual Systems Vision Science Symposium takes place (3 -7 pm German time) -------------------------------- Please click here <https://summerschool.lizhaoping.org/application-virtual-svs/> to find more details and to apply by March 28, 2026. Summer School admission will be based on interest/motivation and prior knowledge/experience of the applicants, and on how much the applicants could benefit from participation. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Vladislav Aksiotis Franziska Lohrmann Max Planck Institute for Biological Cybernetics University of Tuebingen <http://www.lizhaoping.org> www.lizhaoping.org

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Join the Connectomics Revolution: Postdoctoral Researcher in Computational Neuroscience & EM Image Analysis
by Vikas Feb. 17, 2026

Feb. 17, 2026

Dear Admin, Our lab, Kubota lab ( https://www.nips.ac.jp/eng/sp/research/researcher/assoc/post_79.html) in NIPS Japan is looking for the post doctoral candidates. It would be great if your can share the information with the members of comp-neuro. CC: Prof. Kubota. ------------------------------------------------------- Are you passionate about mapping the intricate wiring of the brain? The *Multi-Sensory Integration System Division (EM Team)* at the National Institute for Physiological Sciences (NIPS) in Okazaki, Japan, is looking for two talented researchers to join our mission in deciphering cortical circuits. We are integrating large-scale Volume Electron Microscopy (EM) to understand the structural basis of learning and memory. *We are looking for candidates who possess:* - A Ph.D. (or equivalent research track record). - *Strong Programming Skills:* Proficiency in Python, coding, and scripting. - *Technical Interest:* Experience or a keen interest in developing methods for image processing and analysis of large-scale EM datasets. - *Scientific Curiosity:* An interest in cortical connectomics and the computational understanding of neural circuits. *Why Join Us?* - Work at a world-class research institute in Japan. - Collaborate with Group Leader Yoshiyuki Kubota on cutting-edge connectomics projects. - Contribute to high-impact research. *Apply Today:* Find the full details and application instructions on J-REC-IN: https://jrecin.jst.go.jp/seek/SeekJorDetail?id=D126010223 Email : yoshiy(a)nips.ac.jp ( Yoshiyuki Kubota) Submit your CV, reprints of publications, summary of previous research and proposal, and 2 recommendation letters. ================================== The whole is greater than the sum of its parts. Aristotle =========================================== Vikas Pandey, Assistant Professor, WPI-PRIMe The University of Osaka Mail: pandey.vikas.prime(a)osaka-u.ac.jp <pandey.vikas.prime(a)osaka-hu.ac.jp> Tel: +81-6-6879-7716 ResearchGate <https://www.researchgate.net/profile/Vikas_Pandey> Linkedin <https://www.linkedin.com/in/vikas-pandey-73a97a1a4/> Google Scholar <https://scholar.google.com/citations?user=w4yD_gEAAAAJ&hl=en>

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Postdoc in computational neuroscience and machine learning
by Gershman, Samuel Joseph Feb. 16, 2026

Feb. 16, 2026

The Computational Cognitive Neuroscience lab at Harvard University (PI: Sam Gershman) is recruiting a postdoc to work on projects at the intersection of computational neuroscience and machine learning, focusing on the role of memory in intelligent systems. This position is part of a collaborative grant with researchers at MIT and UC Berkeley. Start date: January 2027 or later Apply here: academicpositions.harvard.edu/postings/15868

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CNeuro2026 summer school in computational neuroscience, Beijing, July 2026
by Rava A. da Silveira Feb. 16, 2026

Feb. 16, 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)

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NeuroBridges 2026 summer school – Registration Now Open
by David Hansel Feb. 16, 2026

Feb. 16, 2026

*NeuroBridges 2026* *A Mediterranean, Middle Eastern Summer School in Neuroscience* *Deadline to apply: April 15th, 2026* *NeuroBridges 2026* is a summer school which will take place between *October 4 and* *October 15, 2026* in Le Centre de Conferences Internationales de Cluny, France (CCIC) <https://84454458.streak-link.com/Cxj80AMVlfndd-inKwgMJVkF/https%3A%2F%2Fcol…> . The school will provide an overview of theoretical and experimental frameworks used to study a variety of *decision making* processes. It will cover different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of Neurobridges is to bring together *Mediterranean and Middle Eastern scientists*, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily, but not only, from the Middle East and the Mediterranean region, either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. *All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. In light of the ongoing situation in Iran, we are committed to providing full travel grants to all students coming from Iran.* *NeuroBridges 2026 Faculty:* Larry Abbott (Columbia University) Alaa Ahmed (University of Colorado) Eiman Azim (Salk Institute) Sharona Ben Haim (UC San Diego) Rava Azeredo da Silveira (IOB) Rasha Kardosh Israel Nelken (Hebrew University) Mathias Pessiglione (Paris Brain Institute) Drazen Prelec (MIT) Reza Shadmehr (Johns Hopkins University) *NeuroBridges* is co-organized by Ahmed El Hady (Max Planck Institute), David Hansel (CNRS), Yonatan Loewenstein (Hebrew University of Jerusalem) and Carole Levenes (CNRS). *NeuroBridges 2026* is supported by the Cyril Taylor Charitable Foundation, the Simons Foundation and ELSC, and is in partnership with VVTNS ( https://www.wwtns.online/) For more information and application, visit our website: https://neurobridges.net/ *Contact us:* neurobridges2026(a)gmail.com <neurobridges2023(a)gmail.com> ᐧ ᐧ

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World wide VVTNS series (6th season): Reading Minds & Machines | Wednesday, February 18, 2026, at 11:00 am ET - Michal Irani, The Weizmann Institute
by David Hansel Feb. 15, 2026

Feb. 15, 2026

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Michal Irani The Weizmann Institute on the topic of * Reading Minds & Machines* The lecture will be held on zoom on February 18, 2026, at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page *Abstract: * 1. Can we reconstruct images that a person saw, directly from their fMRI brain recordings? 2. Can we reconstruct the training data that a deep-network trained on, directly from the parameters of the network? The answer to both of these intriguing questions is “Yes!” In this talk I will present some of our work in both domains. I will then show how combining the power of Brains & Machines can lead to significant breakthroughs in both areas, and potentially bridge the gap between Minds and Machines. Finally, I will show how combining the power of Multiple Brains (with NO shared data) may lead to new breakthrough discoveries in Brain-Science, and allow mapping of information between different brains. *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

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DeepLearn 2026: early registration March 1st
by David Silva - IRDTA Feb. 14, 2026

Feb. 14, 2026

****************************************************** 13th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2026 Orléans, France July 20-24, 2026 https://deeplearn.irdta.eu/2026/ ****************************************************** Co-organized by: University of Orléans Centre Val de Loire Doctoral College Institute for Research Development, Training and Advice – IRDTA Luxembourg/London ****************************************************** Early registration: March 1st, 2026 ****************************************************** SCOPE: DeepLearn 2026 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimarães, Luleå, Bournemouth, Bari, and Porto. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedicine and healthcare, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics and astrophysics, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, mathematical proofs, etc. etc. The field is also raising a number of relevant questions about efficiency and robustness of the algorithms, explainability, transparency, interpretability, risks and safety, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed and main challenges identified through 16 four-hour and a half courses, 2 keynote lectures, 1 round table, and a hackathon competition among participants. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduates, postgraduates and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, hence people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2026 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2026 will take place in Orléans, located in the heart of the Loire Valley, which was declared by UNESCO a World Heritage Site in 2000. The venue will be: University of Orléans Faculty of Law, Economics and Management 11 rue de Blois 45100 Orléans, France https://www.univ-orleans.fr/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their industrial developments for 10 minutes. The school will include a hackathon, where participants will be able to work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yingbin Liang (Ohio State University), Convergence Theory: How Fast Do Discrete Diffusion Models Generate? Le Song (Mohamed bin Zayed University of Artificial Intelligence), Multiscale Foundation Models for Biology PROFESSORS AND COURSES: Nitesh Chawla (University of Notre Dame), [intermediate] Learning from Imbalanced Data Yuejie Chi (Yale University), [introductory/intermediate] Statistical and Algorithmic Foundations of Reinforcement Learning Bo Han (Hong Kong Baptist University), [introductory/intermediate] Trustworthy Machine Learning from Data to Models Jiawei Han (University of Illinois Urbana-Champaign), [intermediate] Structure-Guided, Theme-Based Knowledge Discovery with Large Language Models Mingyi Hong (University of Minnesota), [intermediate] Modern Optimization Algorithms for Large Language Models Cho-Jui Hsieh (University of California Los Angeles), [intermediate/advanced] Optimizers for Large Language Model Training Furong Huang (University of Maryland), [advanced] Generative AI Agents Tara Javidi (University of California San Diego), [intermediate] Active Physical Intelligence for Industrial Scale Monitoring Yan Liu (University of Southern California), [intermediate] Time Series Foundation Models: From Forecasting to Reasoning Zhijin Qin (Tsinghua University), [intermediate/advanced] Semantic Communications Aarti Singh (Carnegie Mellon University), [intermediate] Human Centered AI: Challenges and Opportunities Suvrit Sra (Technical University of Munich), [introductory/intermediate] Introduction to the Theory of Learning with Transformers Ivor Tsang (A*STAR Centre for Frontier AI Research), [introductory/intermediate] Long-Horizon Agentic Intelligence Ming-Hsuan Yang (University of California Merced), [advanced] Recent Advances in Multimodal Understanding and Generation Tong Zhang (University of Illinois Urbana-Champaign), [introductory/intermediate] Reinforcement Learning for Large Language Models Jun Zhu (Tsinghua University), [introductory/advanced] Generative Models: from Virtual to Physical World OPEN SESSION: An open session will collect 5-minute voluntary oral presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david(a)irdta.eu by July 12, 2026. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Abstracts have to be submitted to david(a)irdta.eu by July 12, 2026. HACKATHON: A hackathon will take place, where participants can voluntarily work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer (University of Alabama). The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced by the end of August 2026. The winning teams will receive a modest monetary prize and the runners-up will get a certificate. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Karim Abed-Meraim (Orléans, local co-chair) Sergei V. Gleyzer (Tuscaloosa, hackathon chair) Meryem Jabloun (Orléans, local co-chair) Carlos Martín-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) Florian Nowicki (Orléans, social networks) Philippe Ravier (Orléans, local chair) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://deeplearn.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation will be delivered indicating the number of hours of academic activities (40). This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Université d’Orléans Collège Doctoral Centre-Val de Loire Universitat Rovira i Virgili Institute for Research Development, Training and Advice – IRDTA, Luxembourg/London

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Visiting Assistant Professorship in Applied Mathematics at Northwestern University
by William L. Kath Feb. 12, 2026

Feb. 12, 2026

* * /In addition to the details below, please note that the department has ties to the National Institute for Theory and Mathematics in Biology (NITMB) <https://www.nitmb.org/>//in downtown Chicago. / * Visiting Assistant Professorship in Applied Mathematics* The Department of Engineering Sciences and Applied Mathematics at Northwestern University (http://www.esam.northwestern.edu ) invites applications for the position of Visiting Assistant Professor in Applied Mathematics. This is a one-year, non-tenure-track position with the possibility of renewal for a second year. Duties involve teaching and research in applied mathematics with a focus on applications in engineering and/or the sciences. The Department seeks outstanding candidates who have received a Ph.D. degree in applied mathematics, engineering, physics or another applied math-related discipline, or who expect to do so by July 2026, and who aspire to engage in independent and interdisciplinary research and teaching. The starting date is September 1, 2026. The application package should include a cover letter, curriculum vita, statement of research accomplishments and interests, statement of teaching experience and philosophy, and if available representative manuscripts (published, submitted or in preparation). Please visit https://facultyrecruiting.northwestern.edu/apply/MjQ4Nw== to apply. In addition, the applicant should arrange for at least two, but no more than three letters of recommendation addressing both research and teaching qualifications. Recommendation letters will be automatically solicited from the letter writers by email after the names are entered in the online application system. *Compensation* The expected base pay range for this position is $78,000-$82,000 for a 12-month academic appointment and is subject to negotiation. Northwestern University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate, including years since terminal degree, training, and field or discipline; departmental budget availability; internal competitors; and external market pay for comparable jobs. At Northwestern, we are proud to provide meaningful, competitive, high-quality health care plans, retirement benefits, tuition discounts, and more! Visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more. Questions may be directed to Noor Kaur at noor.kaur(a)northwestern.edu (subject line: Visiting Assistant Professor Search). To ensure full consideration, applications should be received by March 16th, 2026, but applications will be accepted until the position is filled. Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern’s non-discrimination statement. Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process. * Requirements* This is a one-year, non-tenure-track position with the possibility of renewal for a second year. Duties involve teaching and research in applied mathematics with a focus on applications in engineering and/or the sciences.

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NeuroDataReHack 2026: Workshop on Secondary Analysis of Neurophysiology Data (Apply by Feb 20)
by Ben Dichter Feb. 11, 2026

Feb. 11, 2026

Dear colleagues, I'm writing to share an opportunity for computational neuroscientists interested in leveraging open neurophysiology datasets for novel research. The DANDI Archive now hosts over 450 neurophysiology datasets in the Neurodata Without Borders (NWB) format, spanning multiple species, brain regions, behavioral tasks, and recording modalities. These include datasets from the Allen Institute OpenScope, the MICrONS project, and the International Brain Laboratory Brain Wide Map. NeuroDataReHack is a hands-on workshop training researchers to effectively use the DANDI Archive and NWB standard for secondary analysis. Projects may include cross-validating findings across species and brain regions, testing analysis methods on independent datasets, or investigating new questions using existing high-quality data. *Workshop Details:* Dates: July 13-17, 2026 Location: Janelia Research Campus, Ashburn, VA, USA Cost: Free for accepted participants (meals and accommodation provided) Travel Support: Limited awards available Application Deadline: February 20, 2026 Decision Notification: March 31, 2026 Apply: https://nwb.org/events/hck26-2026-janelia-ndrh/ Questions: ben.dichter(a)catalystneuro.com Ben Dichter, PhD Founder and CEO, CatalystNeuro

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WiCS+E online event on Building Inclusive Computational Skills – 23 February 2026, 13h-14h30 CET
by Sidarus, Nura Feb. 11, 2026

Feb. 11, 2026

Dear all, We’re happy to invite you to our upcoming online panel “Building Inclusive Computational Skills”, taking place on Monday, 23 February, 2026 – 13:00 to 14:30 CET. More information & registration here: https://www.eventbrite.co.uk/e/building-inclusive-computational-skills-onli… This year, for our International Women’s Month event, we turn our attention to the growing importance of computational skills in cognitive science and to why every researcher should feel empowered to learn them. If you’ve ever wondered how coding and modelling influence the way we design experiments, analyse data, or build theories, or if you’re simply looking for accessible ways to get started, you may find this session particularly helpful. This event is free and open to everyone. Participants will receive the meeting link one day before the webinar. For any questions, please feel free to contact us at wics.europe(a)gmail.com. This event is organised in collaboration with Open Science Tools (PsychoPy, Pavlovia), who will be sponsoring a follow-up training series for webinar participants. We hope you’ll join us and help spread the word! Warm wishes, WiCS+Europe Leadership Team https://wicseurope.github.io/WiCSeurope/ This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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Postdoctoral Position in Multimodal Epileptogenic Zone Identification Research
by Adrià Tauste Feb. 11, 2026

Feb. 11, 2026

*Dear all,* * The nCoDe Lab (Neural information processing in Cognition and Disease) at the Universitat Politècnica de Catalunya (UPC) invites applications for a Senior Postdoctoral Researcher position (full-time, 2-year contract) to lead data analysis and biomarker discovery within the EPICHILD project. The work will be carried out in Barcelona in direct collaboration with the Epilepsy Unit at the top paediatric hospital in Spain, Hospital Sant Joan de Déu. Note on the application process: While we are seeking to identify the ideal candidate immediately, the formal hiring will be processed through an upcoming open call at the Universitat Politècnica de Catalunya (UPC), following national regulations. We encourage interested candidates to contact us now to discuss the project and receive notification as soon as the formal call is published. About the Project This position is a core part of the EPICHILD project: "Development and validation of multimodal focus identification algorithms for drug-resistant epilepsy in children." Our goal is to enhance the diagnostic toolkit for pediatric drug-resistant epilepsy by providing objective, quantitative measures that complement the clinical expertise of visual intracranial EEG (iEEG) inspection. We are developing a computerized framework to assist in identifying the Epileptogenic Zone (EZ): the brain regions responsible for generating seizures. The project's core hypothesis is that a data-driven integration of iEEG recordings (ictal, pre-ictal, and interictal), neuroimaging data (MRI/DTI), and electrical stimulation sessions provides a synergistic perspective that can refine surgical planning. As the lead for data analysis and algorithm design, the successful applicant will sit at the central intersection of signal processing, machine learning, multimodal data fusion, and clinical neurology. Key Responsibilities The role emphasizes the development of robust data analysis pipelines and the identification of quantitative biomarkers rather than hands-on data collection. Key responsibilities include: * Pipeline Development: Designing and implementing multimodal algorithms and pipelines for the identification of the Seizure Onset Zone (SOZ) and Epileptogenic Zone (EZ). * Biomarker Discovery: Validating and optimizing multimodal biomarkers using real-world clinical datasets from our national and international collaborators and open-access datasets. * Scientific Leadership: Co-leading and mentoring a team of PhD, Master’s, and Bachelor’s students working within the project. * Technology Transfer: Collaborating on the integration of these pipelines into a clinical prototype in connection with the lab’s spin-off, BrainFocus Labs. Candidate Profile We are seeking a highly motivated candidate with strong quantitative skills and demonstrated research experience in neural data analysis. Required Skills and Experience: * PhD in Computational Neuroscience, Biomedical Engineering, Computer Science, Mathematics, Statistics, Physics or a related field. * Signal Processing: Strong expertise in intracranial EEG (iEEG/LFP) or EEG analysis and statistics. * Machine Learning: Proven capacity in machine/deep learning applied to complex biological datasets. * Programming: High proficiency in Python. * Communication: Excellent written and spoken English; ability to bridge the gap between engineering and clinical teams. Preferred but not required: * Experience with multimodal data fusion (integrating electrophysiology with neuroimaging). * Experience with technology transfer or working within a clinical workflow. What We Offer * A Leading Neuroscience Hub: The nCoDe Lab is an active member of Barccsyn (Barcelona Computational and Systems Neuroscience), a premier community of over 40 research groups, offering a unique environment for scientific exchange and collaboration (https://barccsyn.org/ <https://barccsyn.org/>). * Vibrant Research Environment: Join the nCoDe Lab (https://ncodelab.org/ <https://ncodelab.org/>), a multidisciplinary group dedicated to understanding neural information processing in health and disease. * Career Development: Significant opportunities for leadership, student supervision, presentations at conferences and workshops and exposure to the medical-tech entrepreneurship ecosystem. * Location: Barcelona is a leading global hub for biomedical engineering and offers an exceptional quality of life. How to Apply Please send your CV, a brief statement of research interests/past work, and the contact information for two references to adria.tauste(a)upc.edu with the subject “Postdoctoral Position in Multimodal Epileptogenic Zone Identification Research”. *Adrià Tauste

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Announcement: 7th International Conference on Mathematics of Neuroscience and AI (Rome, 9-12th June 2026)
by Ruairidh Battleday Feb. 10, 2026

Feb. 10, 2026

7th International Conference on Mathematics of Neuroscience and AI (Rome, 9-12th June 2026) ----------------------------------------------------------- We are delighted to announce the 7th International Conference on the Mathematics of Neuroscience and AI, to be held in the Villa Wolkonsky, Rome, Italy, 9-12th June 2026: www.neuromonster.org In this exploratory conference we bring together researchers and theorists working on the biological, mathematical, and computational foundations of intelligence across neuroscience, cognitive science, machine learning & artificial intelligence, and related fields. We hear from leading researchers over four days, spanning neural data, neural theory, cognitive science, and machine learning & artificial intelligence (AI). Each day will have keynotes, invited speakers, a poster session, and 5 spotlight talks invited from abstract submissions. Abstract submissions and super-early-bird registration are open (see below). *Keynote Speakers*Professor Tatiana Engel (Princeton) Professor Gyorgy Buzsaki (NYU) Professor Noah Goodman (Stanford) Professor Irina Rish (Montreal & Mila) *Session Chairs* Dr Kris Jensen (UCL) Jesseba Fernando (Northeastern) Professor Bill Thompson (Berkeley) Dr Chen Sun (DeepMind) *Location* The convention will be held at the Villa Wolkonsky, in San Giovanni, Rome (10 minutes walk from the Colosseum). *Submissions* The submission format is an abstract of 250 words, and we invite submissions for each session via the following Google form: https://forms.gle/dnpQL8HaxiP9snu79 These will be accepted for poster presentation, with the best 5 papers in each session category given an additional spotlight talk. Submission deadline is 28th Feb AOE. *Super-early bird tickets* A limited number of half-price super-early-bird registrations have been posted on our website! Early bird registration will follow. Come and join the fun! Dr Ruairidh McLennan Battleday (Thinking About Thinking) Dr James Whittington (Thinking About Thinking & Oxford) Dr Giovanni Pezzulo (National Research Council of Italy) *The Organizing Committee.* -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking <https://that.build>

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World wide VVTNS series (6th season): Wednesday, February 11, 2026, at 11:00 am ET - Alex Reyes, New York University
by David Hansel Feb. 9, 2026

Feb. 9, 2026

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Alex Reyes New York University on the topic of * Computing the effects of excitatory-inhibitory balance * *on neuronal input-output properties* The lecture will be held on zoom on February 11, 2026, at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page *Abstract: *In sensory systems, stimuli are represented through the diverse firing responses and receptive fields of neurons. These features emerge from the interaction between excitatory (E) and inhibitory (I) neuron populations within the network. Changes in sensory inputs alter this balance, leading to shifts in firing patterns and the input-output properties of individual neurons and the network. While these phenomena have been studied extensively with experiments and theory, the underlying principles for combining E and I inputs are still unclear. Here, the rules for probabilistically combining E and I inputs are derived that describe how neurons in a feedforward inhibitory circuit respond to stimuli. This simple model is broadly applicable, capturing a wide range of response features that would otherwise require multiple separate models and offers insights into the cellular and network mechanisms influencing the input-output properties of neurons, gain modulation, and the emergence of diverse temporal firing patterns. *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

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