Damien Léger

This study investigates how sleep spindle clustering and coupling with slow oscillations affect motor memory consolidation and generalization through sensorimotor restriction.

This pilot study found that listening to personalized sound sequences derived from individual slow-wave brain activity improved sleep quality and quantity in adults with insomnia.

This paper detects sleep deprivation using voice analysis with machine learning, identifying two distinct vocal biomarkers: prosody and timbre changes, which vary individually.

The paper introduces a method to interpret machine-learning classifiers by analyzing how noise and reverse correlation affect classification decisions across various data types and models.