Jack L. Gallant

Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms

Encoding models based on word embeddings or artificial neural network (ANN) features reliably predict brain responses to naturalistic stimuli but remain difficult to interpret. A central limitation is superposition—the entanglement of distinct semantic features along correlated directions in dense e…