Aapo Hyvärinen

This paper frames the challenge of interpreting cryo-EM latent spaces as an Independent Component Analysis problem, aiming to develop identifiable models for conformational landscapes.

The paper uses PCA on MEG data to identify brain activity patterns linked to psychological traits during focused attention and mind wandering.

The paper proposes a mixture of sparse coding models to explain how face neurons in the primate visual system process holistic and parts-based information.