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LEARNING AND ADAPTATION OF MULTIJOINT ARM MOVEMENTS

LEARNING AND ADAPTATION OF MULTIJOINT ARM MOVEMENTS
多关节手臂运动的学习和适应
批准号:
2750958
负责人:
FERDINANDO Alessandro MUSSA-IVALDI
金额:
$13.7万
依托单位国家:
美国
项目类别:
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-09-01 至 2000-07-31

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中文摘要
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描述(摘自申请人摘要):本研究旨在
英文摘要
DESCRIPTION (Adapted from the Applicant's Abstract): This research is aimed at understanding the relationship between (a) the acquisition of new coordinated movements and (b) the adaptation to novel mechanical environments. Both processes entail long-lasting changes in behavior induced by sensorimotor experience. However, while learning of new movements may require intense training and well-focused attention, motor adaptation may occur spontaneously, without need for explicit instructions. The central goal of this proposal is to create a unified experimental and theoretical framework for the analysis of motor learning and adaptation, based on the working hypothesis that both endeavors may be obtained by the central nervous system combining the operation of a few simple modules of control. Accordingly, the investigations are divided in three sets of experiments: (1) In the first, mechanical perturbations will be used to estimate the force fields generated by subjects maintaining their hand at rest in different locations. These fields will be considered as the expression of the most elementary modules of control. (2) The second is aimed at representing more complex control fields as a combination of the above modules. Mechanical perturbations will be used to estimate the force fields generated by the subjects (a) during the execution of different trajectories of the hand and (b) during the process of adaptation to complex mechanical environments generated by a servo-controlled manipulandum. (3) The third will investigate how subjects learn complex hand trajectories and to what extent trajectory learning may be obtained or facilitated by adapting to specifically designed mechanical environments. The design of these environments will be made possible by the common representation of learning and adaptation as measurable fields of forces. The proposed experiments have significance to clinical problems: If the motor system has automatic processes for adapting to changes in the mechanics of the environment, then these experiments will determine how to take advantage of adaptive processes for facilitating the recovery of motor skills that have been lost due to stroke or other CNS injuries.
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