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A Whole-Cortex Encoding Model of Vision, Audition, and Language for In-Silico Neuroscience [R]

I built and trained a 218-million-parameter model on fMRI data from 2,000 peoples brains as they watched films, TV, and images. Cajal-1. On the films Meta held out to test TRIBE v2, Cajal-1 is 25% more accurate and closer to the real brain in 27 of 32 recordings. Give it any video, podcast, or song…

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  1. 2026-10-19 00:54 · r/MachineLearning
    A Whole-Cortex Encoding Model of Vision, Audition, and Language for In-Silico Neuroscience [R]

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