Computational Neuroscience conferences

The seventh annual UCL NeuroAI Conference brings together researchers working at the intersection of machine learning and neuroscience. UCL NeuroAI frames the meeting around the shared lineage of the two fields: machine learning and the brain use similar computations to process and compress information, AI models can emulate neural functions and the circuits supporting them, AI tools help discover, segment and track neural and behavioural states, and problems posed in neuroscience in turn inspire advances in AI. Keynote speakers are Wolfgang Maass (Technische Universität Graz), Agostina Palmigiano (Gatsby Computational Neuroscience Unit), Ellie Pavlik (Brown University), Bernardo Sabatini (Harvard Medical School), Nicolas Skatchkovsky (Francis Crick Institute) and Eleni Vasilaki (University of Sheffield). The programme also includes submitted 15-minute talks, 3–4-minute lightning presentations and posters selected from abstracts, which were due on 16 October 2026. The conference runs from 9am to 5pm on Wednesday 11 November 2026, followed by a reception, in the Kennedy Lecture Theatre at 30 Guilford Street, London. Tickets cost £5, and complimentary tickets can be requested when cost is a barrier. The event is supported by the Sainsbury Wellcome Centre, Callosum Technologies and DeepMind.

The Society for Neuroscience annual meeting brings together the global neuroscience community for lectures, symposia, nanosymposia, posters, professional-development sessions and exhibits. The 2026 meeting offers in-person participation in Washington, D.C. and a virtual component with posters and livestreamed featured lectures.

NeuralNet is the annual scientific meeting of the GDR NeuralNet, a research network supported by the Centre National de la Recherche Scientifique (CNRS) that brings together researchers, engineers and specialists in neural data acquisition, analysis, interpretation and modelling, and fosters collaboration across systems neuroscience, computational modelling, NeuroAI and data science. The 15th annual meeting takes place from 25 to 27 November 2026 at Université Paris Cité, Campus Odéon, Paris. Keynote speakers are Asli Ayaz (VIB-KU Leuven Center for Neuroscience), Sophie Bagur (ESPCI), Joao Barbosa (Neurospin), Brice Bathellier (Institut de l'Audition), Alex Cayco Gajic (École Normale Supérieure), Keith Doelling (Institut de l'Audition), Audrey Hay (CRNL, Lyon), Quentin Perrenoud (École Normale Supérieure), Lorenzo Posani (Paris Brain Institute), Pascale Quilichini (Institut de Neurosciences des Systèmes, Marseille), Peter Rupprecht (Brain Research Institute, Zürich), Ourania Semelidou (Institute of Neurodegenerative Diseases, Bordeaux), Manuel Valero (HMRIB, Barcelona) and Katharina Wilmes (Institute of Neuroinformatics, Zürich). Abstracts for talks and posters are due on 26 October 2026. Early registration, until 10 November 2026, costs €200 for regular participants and €90 for students and postdocs, rising to €250 and €100; it covers the meeting, two breakfasts, one lunch, two coffee breaks, the Thursday evening poster session and a wine and cheese mixer. A separately registered minischool precedes the meeting from 23 to 25 November. Organized by GDR NeuralNet (CNRS).

NeuroAlliance brings together cellular and systems neuroscience, biological psychiatry and cognitive neuroscience. The scientific programme examines how brain mechanisms shape cognition, behaviour and psychiatric illness, connecting molecular and cellular approaches with neuroimaging, computational analysis and clinical research. Plenaries address the microbiome–brain relationship across the lifespan, neural mechanisms of blindsight, negative self-beliefs and mental health, navigation circuits in Drosophila, biometals in brain disease, human decision-making, ovarian hormones and mental health, and computational approaches to brain patterns. Parallel symposia and contributed presentations extend these themes across neural circuits, genetics, omics and therapeutic mechanisms. All times are Australia/Sydney (AEDT, UTC+11). On 29 November, registration starts at 16:30, Welcome to Country at 17:00, opening remarks at 17:15 and the first plenary at 17:30–18:15. Scientific sessions start at 08:30 on 30 November, 08:45 on 1 December and 08:30 on 2 December; closing remarks finish at 17:00 on 2 December. Full registration costs AUD 935 for members of participating societies and AUD 1,200 for non-members; student rates are AUD 545 and AUD 660 respectively, including GST. Retired-member and day registrations are also offered. Member rates require ANS, BPA, ACNS, FENS or JNS membership. Registration uses an EventsAir account.

Columbia’s NeuroTechnology Center brings together cellular, systems and computational neuroscientists to examine dendritic computation, cortical circuitry, neuronal cell types and emerging neurotechnologies. The programme connects synaptic physiology and dendritic integration with neuronal morphology, cortical microcircuits, transcriptomics and methods for studying the mammalian brain. Speakers are Peter Jonas, Gábor Tamás, Idan Segev, Henrike Planert, Lida Kanari and Jonathan Ting, with two panel discussions. The online symposium takes place on 10 December 2026, 11:00–16:00 EST (America/New_York, UTC−5), equivalent to 17:00–22:00 CET. Talks run 11:15–12:45 and 13:45–15:15 EST; panels follow at 12:45–13:15 and 15:15–15:45. Register using the event page’s public form; the organizer supplies the Zoom link after registration. A fee and registration deadline are not stated.

COSYNE 2027 meets in Montréal, 11–16 March: main meeting 11–14 March and workshops 15–16 March. Registration opens 2 November 2026. COSYNE brings experimental and theoretical approaches together to understand how neural systems support behaviour and cognition. Research connects systems neuroscience with computational models, emphasizing explanations of brain function and exchange between empirical and theoretical researchers. The main meeting is at Fairmont The Queen Elizabeth and workshops are at Le Westin Montréal. Abstract submission is closed. Abstracts use double-blind review, with decisions expected in December 2026. Presenting authors must register by 31 January 2027 at 23:59 EST. Early rates end on 2 February at 23:59 EST.

The Neuro Inspired Computational Elements Conference (NICE) gathers research on neuromorphic computing and its connections to neuroscience and artificial intelligence. NICE 2027 holds its main conference on 6–8 April 2027 at the University of Sussex in Brighton, United Kingdom, followed by a tutorials day of mainly hands-on two-hour tutorials on 9 April. Topics span neuromorphic hardware, analog and beyond-CMOS devices and compute-in-memory architectures; NeuroAI, including theory of neural circuits and its experimental support, local learning and plasticity, and connectomics; neuroscience-inspired and hardware-aware algorithms, spiking neural networks and event-based artificial intelligence; applications in robotics, high-performance and edge computing, biosignal processing and brain-computer interfaces; event-driven and bio-inspired sensing; and software frameworks, benchmarks, simulators and theoretical models for neuromorphic engineering. Regular papers of 4–8 pages are reviewed by the programme committee for talks, lightning talks or posters, with proceedings indexed through IEEE Conference Proceedings. Paper submissions are due on 11 November 2026, tutorial suggestions on 2 December 2026 and late-breaking news submissions on 1 February 2027. Early-bird fees, until 17 January 2027, are £250 for students and £450 for regular participants (£300 and £550 afterwards), and the tutorials day costs £75 early or £100 later.

INCC connects the neuromorphic computing community across neuroscience, physics, materials research and artificial intelligence. The programme combines plenary and invited presentations, contributed research talks, workshops and a characterisation laboratory supported by Advanced Microtesting. Organised by NeuroSYNC and the Aston Institute of Photonic Technologies, with NeuMat and NeuroWare as co-organisers, it brings academic and industrial researchers together to examine brain-inspired computing and build collaborations across the device-to-system ecosystem. Abstracts are due 31 October 2026, with acceptance notifications on 25 November.

The fifteenth Barcelona Computational, Cognitive and Systems Neuroscience meeting connects theoretical and experimental researchers, with particular emphasis on collaboration among Barcelona groups. Each day features eight to ten short research presentations and a poster session, alongside keynote lectures by Srdjan Ostojic and Nathalie Rochefort. Participants can contribute talks, posters or poster blitzes, with prizes for student contributions. The organizing committee comprises Sara Mederos, Chris Summerfield and Klaus Wimmer. Programme times, fees and submission and registration deadlines have not yet been announced.

IJCNN covers neural-network foundations and intelligent applications, including continual and adaptive learning, forgetting mitigation, representation learning, explainability, neuromorphic computation, computational neuroscience and multimodal models. Research papers connect theoretical methods with applications across science and engineering. Review is double-blind. Standard submissions use six IEEE-format pages; up to four extra pages incur fees. Accepted authors must submit final papers and pay the corresponding registration fees by 12 April 2027, 23:59 AoE. Remote authors may supply prerecorded presentations, but the conference does not offer live remote attendance.

The meeting links amygdala-centered neural activity to emotional and internal states across molecules, cells, circuits, brain-wide networks and human neuroscience. Themes include motivation, reward, social behavior, threat, learning, memory, decision making, stress, addiction, pain and psychiatric disease. Basic, computational, translational and clinical researchers will discuss technologies for measuring, mapping, modelling and manipulating these mechanisms. Talks, poster sessions and discussion focus on emerging and unpublished research. Applicants need a science or engineering bachelor’s degree or equivalent; undergraduates are not eligible. Places may fill before the application deadline.

OCNS has announced that its annual Computational Neuroscience meeting will take place in Gran Canaria on 10–14 July 2027. The meeting is a specialist forum for theoretical and computational approaches to nervous systems. This is an advance planning listing: the announcement does not yet provide a 2027 registration or abstract-submission window. Consult OCNS for the forthcoming programme and participation details.

The Cognitive Computational Neuroscience (CCN) conference connects cognitive science, neuroscience and artificial intelligence through computational explanations of complex behaviour. Its scope includes mechanistic interpretability, representation learning and alignment, biological and artificial intelligence, neural dynamics, and models of perception, cognition and action. The primarily single-track format combines keynotes, research talks and posters with some parallel community sessions. Generative Adversarial Collaborations examine competing theories; keynote-and-tutorial sessions connect research methods with practical implementation. The published submission and early-registration deadlines use end-of-day Anywhere on Earth (AoE, UTC−12).

The conference links molecular, cellular, circuit and systems mechanisms of cerebellar development, function and dysfunction across species and life stages. Imaging, experimental physiology and theoretical models will connect early developmental patterning with mature computation and behaviour. Sessions examine motor and cognitive functions, autism and ataxia, and the difficulties of translating findings between species or integrating evidence across scales. The aim is to distinguish conserved organizational principles from meaningful differences between experimental systems. Attendance applications are reviewed and capacity may fill before the application deadline.

The Bernstein Conference is the annual meeting at which the Bernstein Network Computational Neuroscience invites the international computational neuroscience community, from students and postdocs to principal investigators, for intensive scientific exchange on new discoveries. The 2027 edition runs from Wednesday 15 to Saturday 18 September 2027 at the SwissTech Convention Center of the École polytechnique fédérale de Lausanne (EPFL) in Lausanne, Switzerland, with Wulfram Gerstner (EPFL) as conference host. Panayiota Poirazi (Foundation for Research and Technology Hellas, Greece) is programme chair, Richard Naud (University of Ottawa) programme vice chair and Juan Álvaro Gallego (Champalimaud Foundation) workshop chair. Confirmed speakers are Jayeeta Basu (NYU Grossman School of Medicine), Rafal Bogacz (University of Oxford), Sami El-Boustani (University of Geneva), Wulfram Gerstner (EPFL), Kenneth Harris (University College London), Rishikesh Narayanan (Indian Institute of Science), Lucy Palmer (University of Melbourne), Priyadarshini Panda (University of Southern California), Anna Schapiro (University of Pennsylvania), Vatsala Thirumalai (National Centre for Biological Sciences, India) and Mariya Toneva (Max Planck Institute for Software Systems).