Catherine Perrodin

This paper develops a deep-learning framework to decode sensory and behavioural variables from wide-band neural data with minimal user input and generalization across stimuli and brain regions.

The paper shows female mice prefer male courtship songs with regular timing over irregular ones, highlighting temporal regularity as a critical social cue in mammalian communication.