Daniel Anthes

Latent Prediction Yields Cross-Subject Alignable Representations in Sensory-Evoked fMRI

Decoding sensory-evoked functional magnetic resonance imaging (fMRI) data is a central analytical tool in cognitive neuroscience. Here we ask whether self-supervised learning (SSL), which has been scarcely explored in this domain, can yield representations that support strong downstream performance. To do so, we adapt...