Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms
The paper introduces a sparse concept encoding model to improve interpretability of brain encoding models by disentangling semantic features in fMRI data.
neural information processing systems · Jan 1, 2025Peer-reviewedNeuroscience