Grant: Operating Grant
Université de Montréal
$728,832.00
Neuronal mechanisms of compensation for dynamic force field perturbations in cerebral cortex: on-line correction, predictive adaptation, and skill generalization
EF 2009-10
Résumé
When our arm or hand is perturbed by an external force or obstacle while making a movement, the brain possesses mechanisms that rapidly detect the error and make a corrective adjustment to complete the movement as originally intended. This is called feedback control. If the same perturbation is encountered many times, the brain gradually learns to anticipate the effect of the perturbation and adjusts the motor command to reduce its effect. This is called predictive or feedforward control, and the learning process is called adaptation. Similarly, when we try to learn a new motor skill, we make many mistakes at first but gradually reduce the errors as our skill improves. In both adaptation and motor learning, the errors sensed during the initial feedback error-correction phase are used to modify the neural circuits responsible for the planning and execution of movements. As the circuits are modified and errors are reduced, the motor system gradually functions more and more in predictive feedforward mode. This project investigates the neural mechanisms in the motor cortex and parietal cortex that are believed to play a critical role in the detection and correction of errors during feedback control while learning a skill, and how their activity changes to permit feedforward control during skilled performance.
Programme
Operating Grant
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
202049
Name
Kalaska John F
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Movement & Exercise
Projecttitle
Neuronal mechanisms of compensation for dynamic force field perturbations in cerebral cortex: on-line correction, predictive adaptation, and skill generalization
Programtype2
Operating Grants
Orgnameinp2
Université de Montréal
Cihramount2
$728,832
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Cerebral Cortex; Computational Models; Motor Skill Learning; Non-Human Primates; Single-Neuron Recording
Abstract
When our arm or hand is perturbed by an external force or obstacle while making a movement, the brain possesses mechanisms that rapidly detect the error and make a corrective adjustment to complete the movement as originally intended. This is called feedback control. If the same perturbation is encountered many times, the brain gradually learns to anticipate the effect of the perturbation and adjusts the motor command to reduce its effect. This is called predictive or feedforward control, and the learning process is called adaptation. Similarly, when we try to learn a new motor skill, we make many mistakes at first but gradually reduce the errors as our skill improves. In both adaptation and motor learning, the errors sensed during the initial feedback error-correction phase are used to modify the neural circuits responsible for the planning and execution of movements. As the circuits are modified and errors are reduced, the motor system gradually functions more and more in predictive feedforward mode. This project investigates the neural mechanisms in the motor cortex and parietal cortex that are believed to play a critical role in the detection and correction of errors during feedback control while learning a skill, and how their activity changes to permit feedforward control during skilled performance.
Competitiondate
201003
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Kalaska, John F
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $728,832~ $0~