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Learning and Adaptation of Multi-Joint Arm Movements

Learning and Adaptation of Multi-Joint Arm Movements
多关节手臂运动的学习和适应
批准号:
6927101
负责人:
FERDINANDO Alessandro MUSSA-IVALDI
金额:
$30.59万
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 2007-05-31

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中文摘要
翻译
描述(由申请人提供):普通工作,例如拿一杯水。可能成为脑损伤幸存者的严峻挑战。这些研究调查了健康受试者在接触环境时如何控制手臂。了解神经系统如何学习控制与物体的互动在运动康复中是非常重要的,因为互动行为对许多日常生活活动都是必不可少的。拟议的研究分为三个具体目标:
英文摘要
DESCRIPTION (provided by applicant): Ordinary tasks, such as handling a cup of water. may become hard challenges for the survivors of brain injury. These studies investigate how healthy subjects control the arm when it comes in contact with the environment. Understanding how the nervous system learns to control the interactions with objects is of great importance in motor rehabilitation because interactive behaviors are essential to many activities of daily living. The proposed research is divided in three specific aims: AIM 1: To investigate the control of upper extremity interactions with mechanical constraints.These studies investigate how information about the shape of a surface is acquired through touch and how shape affects the execution of hand movements over the surface. Subjects are asked to move their hand while holding a robotic device that reproduces the mechanics of surfaces with variable shape. We formulate the hypotheses that, first. in the absence of vision, repeated movements of the hand over a curved surface lead to an adaptive process and second, that adaptation reveals, through the change in movement trajectories, an automatic and implicit learning of the surface geometry. AIM 2: To understand the control of objects with internal degrees of freedom.These studies are aimed at assessing how healthy subjects learn to control objects that are not rigid, like, for instance, a bucket full of water. The experiments pursue the hypothesis that subjects develop through practice internal representation of the manipulated objects. These representations allow them to predict how objects respond to applied forces and motions. To test this hypothesis, these studies make use of virtual mass-spring systems with which subjects interact. AIM 3: To identify effective training principles for enhancing skillful interactions with objects.These studies are aimed at evaluating the efficacy of different training methods for enhancing arm movement performance during object manipulation. The studies focus on training methods that may enhance one's ability to control with their arm the behavior of objects with complex dynamics. The experiments will test the efficacy of three training methods: i) the explicit information about correct movements of the hand; ii) the presentation of isolated cues about the effectiveness of control actions, and iii) the enhancement of visual feedback on the overall behavior of a manipulated object.
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