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Day 1 (17 June) Adrien Doerig (University of Osnabrück). NeuroConnectionism. Introduction to LLMs and DNNs in Vision

Day 2 (18 June) Martin Hebart (Max Planck Institute Leipzig, Human Brain & Cognitive Sciences). Object processing in brains, AI and behaviour

Day 3 (19 June) Umut Güçlü (Radboud University). Neural Encoding, decoding & reconstruction with deep learning

Day 4 (20 June) Katharina Dobs (Justus-Liebig University Giessen). Functional specialisation in brains, AI and behaviour

Day 5 (21 June) Claire Stevenson & Micha Heilbron (University of Amsterdam). Generative language models are a window into human cognition?

Day 6 (24 June) Jesse Geerts & Tom George (Imperial College). From model free to model based reinforcement learning

Day 7 (25 June) James Whittington (Oxford University & Stanford University). and Jacob Bakermans (Oxford University) Cognitive maps: from hippocampal formation to prefrontal cortex action

Day 8 (26 June) Erin Grant (University College London, Gatsby Computational Neuroscience Unit)

Program ABC symposium ‘Neuro-AI: Bridging the gap between human and machine intelligence’ on June 27th 2024

  • Matthias Bethge Tübingen University, Germany
    Frijda lecture: Understanding the neural basis of the mind with AI
  • Gemma Roig (Goethe University Frankfurt, Germany)
    On aligning machine and visual cortex representations
  • Rufin van Rullen (CerCo, Toulouse, France)
    Multimodal deep learning through a Global Workspace
  • Jean-Rémi King (Meta, Paris, France)
    Cracking the neural code: systematic benchmarking to map and decode human cognition
  • Mariya Toneva (Max Planck Institute for Software Systems, Saarbrücken, Germany)
    Validating and improving LLMs as model organisms for human language processing
  • Raquel Fernández (Institution for Logic, Language and Computation, University of Amsterdam, the Netherlands)
    Large Language Models and human cognition

More information about the ABC symposium can be found here: