Romain Quentin

This study shows that learning regularities in noise involves both rapid neural predictive activity and slower representational changes, with the former preceding behavioral improvements.

The paper reanalyzes Demarchi et al.'s data and shows that their findings on pre-activation during prediction can be explained by sequence structure bias, concluding no evidence of anticipatory predictive perception.

This study investigates hypnotic consciousness using EEG and behavioral data, finding dynamic neural reorganization and distinct behavioral responses to hypnotic and ideomotor suggestions.

The paper investigates how error sensitivity changes during motor learning in different environmental conditions and finds it decreases in unstable environments and increases within stable ones.

The paper investigates how humans adapt their sense of agency when consequences precede their actions in an AI-assisted environment, finding implicit learning occurs within an hour.

The paper investigates how rest period duration affects statistical learning and general skill learning during a task, finding that shorter rest periods improve learning dynamics while longer periods enhance between-block learning.

This study uses machine learning to classify individual motor cortical excitability states from EEG signals, showing personalized classifiers can predict high and low excitability states with 80% accuracy.

The paper distinguishes between statistical learning during task performance and high-order rule learning during rest periods using visuomotor sequence tasks.

This study identifies fast waking neural replay during rest periods that correlates with skill consolidation in humans.

The paper investigates the timing of motor command release during sensorimotor beta rhythms and finds preferential release at ~120 degrees of the beta cycle.

The study examines whether short rest periods improve implicit probabilistic sequence learning and general skill, finding that general skill benefits from longer rest periods while probabilistic knowledge decreases regardless of rest duration.

This study shows that rhythmic high-beta stimulation of the right Frontal Eye Field enhances visual detection through entrainment of local oscillations.

This study investigates the neural mechanisms of information selection and maintenance in working memory using MEG, identifying distinct patterns of oscillatory activity for selection and reactivation of memory content.