Guido Barchiesi

This study investigates how counter-imitative training modulates automatic imitation over time, challenging the associative sequence learning framework.

The paper demonstrates that MEP-independent silent periods can be elicited in hand muscles via TMS of the ventral premotor cortex, suggesting a method to study premotor negative motor areas.

This study shows people prioritize kinematic cues over rational expectations when coordinating in a game, choosing lower payoffs when early movement signals indicate a partner's choice.

The paper investigates immediate TMS-evoked potentials (i-TEPs) and their relationship to motor cortex excitability using TMS-EEG data from healthy participants.

This study shows that a robotic supernumerary finger becomes embodied when it enables actions beyond human physiology, as evidenced by increased proprioceptive drift in dorsal mounting.

The paper investigates how humans predict action targets using kinematic information and compares human performance with machine learning models.

This study investigates how TMS pulse parameters affect effective connectivity pathways using microstate analysis of TMS-evoked potentials.

This study examines how high-frequency EEG sampling affects TMS-induced artifacts, finding that while it reduces pulse artifact duration, it does not eliminate the decay artifact, which limits the measurement of immediate cortical responses.

The paper uses dual EEG to compare neural dynamics during joint and parallel action preparation, finding a distinctive ERP amplitude swap with late-phase reductions linked to partner behavior variability.

This study validates M1-P15 as a reliable cortical marker of transcallosal inhibition and shows task-dependent modulation, while demonstrating the feasibility of preregistration in TMS-EEG research.

This paper introduces head magnetomyography (hMMG) to monitor whole-head muscular activity, demonstrating its ability to decode stimulus valence and detect previously neglected neck muscle activity.