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Motor control and learning mechanisms: from fundamental science to its application for neuromotor recovery| old_uid | 14324 |
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| title | Motor control and learning mechanisms: from fundamental science to its application for neuromotor recovery |
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| start_date | 2014/09/11 |
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| schedule | 14h |
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| online | no |
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| location_info | salle E201 |
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| summary | The notion of ‘computational neurorehabilitation’ underlines the need, for robots and other technologies with a potential of facilitating recovery from neuromotor impairment, to incorporate knowledge of the general mechanisms of motor learning and recovery, as well as the individual user’s type and degree of impairment. I will review recent results on computational approaches to neurorehabilitation by mostly focusing on technology-assisted rehabilitation of motor functions (stroke). Specifically I will focus on modeling the dynamics of recovery and on the adaptive control of the degree of assistance provided by the robot. Finally I will briefly discuss applications of the same concepts to the rehabilitation of incoordination (multiple sclerosis) and bradykinesia (Parkinson’s disease). |
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| responsibles | Fenouil |
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