Sylvain Chevallier

This paper investigates whether pre-stimulus EEG activity can predict expected stimuli and decision strategies in both cued and uncued trials, finding that anticipation occurs even without explicit cues.

This study uses neuronal avalanches to improve brain-computer interfaces by showing their task-specific differences can be decoded better than current methods.

This paper introduces a non-linear Drift-Diffusion Model (nl-DDM) that better captures inter-trial dynamics and endogenous influences in decision-making compared to the standard DDM.