Cristiano Alessandro

This study shows that neuromuscular fatigue during postural perturbation tasks leads to persistent changes in neuromuscular coordination and postural control strategies.

This paper uses a deep learning model to estimate muscle activation from EMG signals, showing improved performance over traditional methods in predicting joint kinematics and force.

This paper develops a spiking neural network model of the cerebellum with dual STDP processes to explain how saccadic eye movements are controlled for accuracy and vigor.

The paper examines muscle co-variation in rats during locomotion, finding that co-variation patterns suggest neural regulation of internal joint stresses rather than simplification of task performance.

This study shows the CNS balances task performance with joint stress regulation after muscle denervation in rats.