Philippe Albouy

This study investigates how sleep affects motor sequence learning by analyzing brain oscillations, finding that sleep enhances post-movement parietal beta synchronization.

The paper shows that speech perception involves dynamic, context-dependent temporal predictions encoded in the brain, with RNN models outperforming simpler models in capturing this structure.

The paper shows that short musical training induces mu suppression during passive listening to learned melodies in non-musicians, indicating motor predictions in auditory perception.

This study shows that phase-amplitude coupling (PAC) in cortico-hippocampal networks encodes learned audiovisual associations in humans, with decoding accuracy correlating with behavioral performance.

The paper shows that negative-valence visual stimulation at 5 Hz enhances subcortical theta oscillations and improves visual search and memory in humans.

This study uses M/EEG to characterize theta-band activity during REM sleep, comparing it to working memory task-induced theta and identifying distinct spatial and frequency patterns.

The paper shows spectro-temporal acoustical features reliably distinguish speech from song across 21 societies using machine learning and human listener analysis.

The paper shows that conduction velocities tune hemispheric specialization in speech and melody processing by influencing functional lateralization in the brain.

This study shows that rhythmic transcranial magnetic stimulation combined with auditory working memory training accelerates learning and improves performance, with benefits lasting up to 3 days.

This study investigates brain network dynamics during pitch change detection, showing slow oscillations and phase-amplitude coupling in auditory and motor regions, with differences in amusia.