TAMAGNONE , Irene

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Motor skill learning has different components. When we acquire a new motor skill we have both to learn a reliable action-value map to select a highly rewarded action (task model) and to develop an internal representation of the novel dynamics of the task environment, in order to execute properly the action previously selected (internal model)....

This study investigates motor skill learning in a specific situation in which the only information provided on performance consists of a reward signal. Subjects performed a point-to-point movement. After the end of the movement we displayed a score based on the distance from a hidden via-point - the maximum score corresponds to the via-point...

Robots are widely used to promote the neuromotor recovery of stroke survivors, but it is unclear whether robots might be useful to facilitate the acquisition of novel motor skills. In principle, robots could be used to guide a trainee to experiment the correct movements and/or by preventing him/her from performing incorrect ones (the guidance...

Computational models of neuromotor recovery after a stroke might help to unveil the underlying physiological mechanisms and might suggest how to make recovery faster and more effective. At least in principle, these models could serve: (i) To provide testable hypotheses on the nature of recovery; (ii) To predict the recovery of individual...