Manuel Varlet

The paper tests newborns' ability to categorize rhythms, finding neural responses that suggest innate predispositions and early plasticity in rhythm processing.

This study investigates whether illusory shape perception and object recognition share neural processes, finding no interaction and distinct neural time courses.

The paper finds that Super-Recognisers show enhanced neural encoding of individual face identities but not other categories like dogs, cars, or houses.

This study compares neural face identity coding between Super-Recognisers and typical recognisers, finding stronger and more consistent identity representations in Super-Recognisers during mid-latency processing.

This study shows that successful cooperation involves complementary neural representations across brains, with combined signals carrying more target-related information than individual brains.

The paper presents a comprehensive EEG dataset with self-report measures to study visual touch perception and its neural basis.

This study investigates how electrode density affects EEG-based neural decoding accuracy using visual and natural stimuli, finding that reliable decoding is possible even with low-density setups.

The paper uses EEG data from three conflict tasks to show that conflict processing involves partially overlapping neural mechanisms rather than being fully domain-general or task-specific.

This study uses Interbrain RSA on EEG hyperscanning to show that interbrain information alignment occurs rapidly and strengthens with practice during social interactions.

This study investigates how the brain categorizes musical rhythms using EEG, showing automatic categorical representation despite early auditory processing not reflecting these categories.

The paper shows that human-derived dimensions in deep neural networks emerge hierarchically across layers, similar to human vision, and is influenced by architecture, learning objectives, and stimulus statistics.

The paper investigates how vision encodes sensory and emotional aspects of observed touch using EEG data, finding early visual processing of body cues and emotional details.

This study uses EEG hyperscanning to decode neural representations during competitive Rock-Paper-Scissors gameplay, revealing cognitive biases and the influence of prior outcomes on decision-making.

The paper shows movement trajectories can track the dynamics of neural representations over time, correlating with MEG and fMRI data using RSA.

The paper investigates how attention affects neural processing of rhythm, finding that overall neural response decreases with attention but selective contrast at meter periodicities remains unchanged.

The paper shows that neural synchronization to perceived musical meter persists longer when rhythms transition from regular to ambiguous, demonstrating hysteresis and context-dependent stability in perception.