Quentin Moreau

This study uses self-supervised learning to classify autism spectrum condition from hyperscanning EEG data during social interactions, achieving 78.13% accuracy.

This study uses HD-tRNS on the rTPJ to investigate its role in social inference during real-time interactions, finding no effect on motor coordination but progressive changes in perceived cooperativeness with repeated stimulation.

This paper introduces a multilayer MEG source modelling framework to enable depth-resolved laminar inference in humans, showing it aligns with known neural circuit motifs.

This study investigates how the bodily appearance of a virtual partner affects brain activity related to action observation and monitoring during a minimally interactive task.

The paper examines how dopamine affects electrocortical markers of interpersonal performance monitoring in Parkinson's Disease using EEG analysis during coordination tasks with a virtual partner.

This study compares social behavior and inter-brain connectivity in dyads with autistic individuals and typically developing participants during social imitation tasks, finding differences in role preference and inter-brain synchrony.

The paper investigates neural correlates of social affordance processing during visual encoding of hand postures using EEG, finding early differential processing in occipito-temporal regions.

This paper explains Gamma inter-brain coupling using a Kuramoto model with Theta-Gamma cross-frequency coupling and inter-brain Theta synchronization.

This study uses tACS to show that midfrontal theta activity enhances motor coordination in human-avatar interactions by improving synchronization and motor strategies.

The paper investigates neural dynamics during dyadic motor interactions, showing the monitoring system is more attuned to others' actions than self-actions.

This study uses the Human Dynamic Clamp and EEG to show how sensorimotor coordination affects social cognition, revealing two neural networks linked to cooperation and humanness judgments.

The paper investigates error monitoring in human-avatar motor interactions, finding that frontal and occipito-temporal Theta activity correlates during unexpected movement violations.