Dear Colleagues,
The 7th Annual UCL NeuroAI Conference will take place on Wednesday
11 November 2026 at the Kennedy Lecture Theatre, UCL Great Ormond
Street Institute of Child Health, London.
The event will feature leading speakers at the cutting edge of
machine learning and neuroscience. The UCL NeuroAI initiative aims
to be a central hub where researchers working in neuroscience, AI,
machine learning, and related fields can interact and stay updated
on the latest advancements in these intersecting areas. Our annual
conference is an important opportunity for these communities to
gather, make new connections, and benefit from insights in one
another’s fields.
Keynote speakers
We are privileged to have a distinguished line-up of speakers and
experts confirmed to date.
Wolfgang Maass, Technische Universität Graz
Agostina Palmigiano, Gatsby Computational Neuroscience Unit
Bernardo Sabatini, Harvard Medical School
Nicolas Skatchkovsky, Francis Crick Institute
Eleni Vasilaki, University of Sheffield
Ellie Pavlik, Brown University
Registration
Registration is required and the conference ticket is £5 but if the
cost is a barrier, please email events@ucl.ac.uk for a
complimentary ticket. Please register here.
Poster and talks - Submissions are now open!
This year we will also be accepting abstract submissions for
posters, short lightning presentations (3-4 mins), as well as longer
submitted talks (15 mins) as part of the event. The deadline to
submit your abstract for these is Friday 16 October at 12pm.
Please remember to book your conference place as well as completing
the abstract registration form if you would like to present.
Submit your poster or talk abstract now here.
Sponsorship
We are immensely grateful for the support from the Sainsbury
Wellcome Centre, Callosum Technologies and Google DeepMind.
About UCL NeuroAI
The last decade has seen phenomenal advances in the fields of
machine learning (e.g. deep learning, reinforcement learning, and
AI). While these changes have already had considerable impact on
most areas of science they hold a particular resonance for
neuroscience.
Crucially, AI shares a common lineage with neuroscience and,
fundamentally, machine learning and the brain employ similar
computations to process and compress information. For these reasons
AI provides a means to emulate neural functions and the circuits
supporting them, providing insights to aid our understanding of the
brain and cognition.
Equally, AI tools provide a means to discover, segment, and track
distinct neural and behavioural states, yielding more efficient
experiments and accelerating the pace of discovery. In turn, this
understanding feeds back into the design of more effective AI
architectures and models.
Essentially, AI problems posed in neuroscience both require and
inspire further advances in AI. UCL NeuroAI has been set up to
provide a forum where researchers in these areas can meet, exchange
ideas, and move both fields forward.
--
-----------------------------------------------------
Padraig Gleeson
http://openneuroai.org
Room 321, Anatomy Building
Department of Neuroscience, Physiology & Pharmacology
University College London
Gower Street
London WC1E 6BT
United Kingdom
+44 207 679 3214
p.gleeson@ucl.ac.uk
-----------------------------------------------------