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Theoretical Neuroscience Podcast
VetenskapLife Science

On neuroscience foundation models - with Andreas Tolias - #24

1 tim 32 min•1 februari 2025

The term "foundation model" refers to machine learning models that are trained on vast datasets and can be applied to a wide range of situations. The large language model GPT-4 is an example.

The group of the guest has recently presented a foundation model for optophysiological responses in mouse visual cortex trained on recordings from 135.000 neurons in mice watching movies.

We discuss the design, validation, use of this and future neuroscience foundation models.  

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On low-dimensional manifolds in motor cortex - with Sara Solla - #36
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On modeling metabolic networks in the brain – with Polina Shichkova - #35
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On balanced neural networks - with Nicolas Brunel - #34
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On computational neurotechnology for the clinic - with Anthony Burkitt, Nada Yousif & Esra Neufeld - #33
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On IIT and adversarial testing of consciousness theories - with Christof Koch - #32
•2 tim 18 min
On how to cure brain diseases - with Nicole Rust - #31
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On co-dependent excitatory and inhibitory plasticity - with Tim Vogels - #30
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