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Bi-Directional Brain-Machine Interfaces, Body Machine Interface for Controlling Assistive Devices, Computational primitives for sensory-motor learning, Motor adaptation to changes in arm dynamics, The Representation of Time in the Sensory-Motor System, Understanding Force Control
When young children learn to write a signature, their brains generate motor commands that are different from the commands needed to do the same thing as adults. And yet, we do not need to relearn handwriting as our bones and muscles change. Our sensory-motor is equipped with a powerful machinery that modifies the previously acquired motor programs so as to compensate for changes in the body and in the surrounding environment. The activities of our research group are directed at understanding the biological and computational mechanisms underlying this remarkable ability to learn and adapt. At the same time, we wish to take advantage of this knowledge for designing new procedures and technologies that facilitate the recovery of motor functions lost to stroke and other injuries.
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2023 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, ICORR (2023): 1-6
Fabio Rizzoglio,Francesca Sciandra,Elisa Galofaro, Luca Losio, Elisabetta Quinland, Clara Leoncini,Antonino Massone,F A Mussa-Ivaldi,Maura Casadio
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