Michel‐Ange Amorim

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 paper introduces a framework for calibrating and evaluating EMG-to-torque models, including a novel nonlinear model that improves accuracy while maintaining computational efficiency.

This paper introduces an EMG-based controller for robotic exoskeletons that intentionally leaves gravity torque uncompensated, improving muscle effort reduction and kinematic performance in arm movements.

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.