The conference included talks by speakers from academia and industry, ranging from PhD students to professors, as well as poster sessions for researchers to display and discuss research.
Topics spanned from Large Language Models and multimodal learning to mouse behaviour and neural circuit function.
“This year’s NeuroAI Conference was our most successful yet. Our sixth annual event brought together over 120 attendees from across the UK and beyond as well as over 50 delegates online, showcasing the breadth and depth of work at the intersection of neuroscience and AI through exceptional keynote talks, contributed presentations, and poster sessions. The energy and engagement throughout the day demonstrated the growing momentum of the NeuroAI community, and I’m excited to see how the collaborations sparked here will shape the field in the years ahead.
Professor Caswell Barry, Vice Dean Research – Faculty of Life Sciences and UCL Neuro AI Organising Committee Chair
Keynote Talks | ||
| Professor Caswell Barry | Professor of Neuroscience and AI, Cell and Developmental Biology, UCL | Welcome and introductions |
| Dr Jesse Geerts | Department of Life Sciences, Imperial College London | What is NeuroAI? A brief history and perspective on the future |
| Professor Armin Lak | University of Oxford, St John’s College, Wellcome Trust Henry Dale Fellow | Dopaminergic computations shaping individual long-term learning trajectories |
| Professor Kenneth Harris | Professor of Quantitative Neuroscience, UCL | Characterising population code geometry in the cerebral cortex using iterative machine discovery |
| Professor Netta Cohen | Professor of Biology, University of Leeds | A biologically inspired attention model for neural signal analysis |
| Professor Nathanial Daw | Professor in Computational and Theoretical Neuroscience, Princeton University | Automated theory discovery using deep learning |
| Dr. Quentin Huys | Professor of Computational Psychiatry, UCL and Deputy Director of the Max Planck Institute, UCL | Emotions and thought choice |
| Panel discussion | ||
Closing remarks of the conference
|
Lightning Talks | ||
| Zorka Bozilovic | Student, School of Electronic Engineering and Computer Science, Queen Mary University of London | Decoding Musical Acoustic Features from EEG: How Musical Expertise Shapes Neural Representation |
| Dr Jonathan Cornford | Lecturer, School of Computing, University of Leeds | Dendrite-inspired heterosynaptic plasticity implements more robust gradient descent |
| Dr Felix Effenberger | Researcher, Singer Lab, Ernst Strüngmann Institute for Neuroscience (ESI) in Cooperation with Max Planck Society | Brain-inspired computing using oscillator RNNs |
| Eva Sevenster & Aswathi Thrivikraman | PhD students, CANN Group (PI: Froudist-Walsh), University of Bristol | Distributed cognitive network dynamics emerge in cortically-embedded RNNs with macroscopic gradients |
| Dr Marcus Ghosh | Research Fellow, Department of Life Sciences, Imperial College London | Partial recurrence enables robust and efficient computation |
| Ayat Kheiralla | Student, Electronic Engineering and Computer Science, Queen Mary University of London | Can neural networks learn to recognise patterns in images like the brain does? |
| Shi Yan Lee | Research Assistant, Department of Physiology, Development and Neuroscience, University of Cambridge | Does agreement equal truth? Standardising crowdsourced synapse annotations for reproducible AI-driven connectomics |
| Mohadeseh Shafiei Kafraj | PhD Student, Latham Group, Gatsby Computational Neuroscience Unit, UCL | A biologically plausible dense associative memory with exponential capacity |
| Dr Nicolas Skatchkovsky | Postdoctoral Fellow, The Francis Crick Institute | A biologically inspired attention model for neural signal analysis |