Andrés Canales‐Johnson

This study investigates neural dynamics during human sleep-learning, finding delta and sigma activity in early stages and theta activity in later stages of associative learning.

This study shows that alertness fluctuations affect TMS-evoked neural responses, highlighting the need to account for alertness in TMS experiments.

This study compares wPLI and wSMI metrics for detecting brain functional interactions, finding they capture distinct types of linear and nonlinear interdependencies in EEG data.

The paper shows that the brain detects stimulus features but not conflict in task-irrelevant sensory input using EEG data from humans.