Adaptation and learning in control of voluntary movement by the central nervous system
Adaptation and learning in control of voluntary movement by the central nervous system
复制标题
中枢神经系统控制随意运动的适应和学习
DOI：
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发表时间：
1988
期刊：
影响因子：
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通讯作者：
M. Kawato
中科院分区：
文献类型：
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作者：
M. Kawato
为了控制自主运动，中枢神经系统必须解决以下三个不同层次的计算问题：（1）在视觉坐标中确定所需的轨迹； (2)将其坐标变换为本体坐标； (3)运动指令的产生。针对这些问题，简要回顾了神经科学领域的相关实验观察。在生理信息和先前模型的基础上，我们提出了解决这三个问题的计算理论和神经网络模型。 （1）提出了一种最小扭矩变化模型，该模型可预测人体多关节手臂运动中的各种轨迹，作为轨迹形成的计算模型。 (2)提出了一种迭代学习方案作为同时解决坐标变换和控制问题的算法。该算法可以被视为函数空间中的类牛顿法。 (3) 神经网络...
In order to control voluntary movements, the central nervous system must solve the following three computational problems at different levels: (1) the determination of a desired trajectory in visual coordinates; (2) the transformation of its coordinates into body coordinates; and (3) the generation of motor command. Concerning these problems, relevant experimental observations obtained in the field of neuroscience are briefly reviewed. On the basis of physiological information and previous models, we propose computational theories and a neural network model which account for these three problems. (1) A minimum torque-change model which predicts a wide range of trajectories in human multi-joint arm movements is proposed as a computational model for trajectory formation. (2) An iterative learning scheme is presented as an algorithm which solves the coordinate transformation and the control problem simultaneously. This algorithm can be regarded as a Newton-like method in function spaces. (3) A neural network...
影响因子：
14.5
作者：
ABEND, W;BIZZI, E;MORASSO, P
通讯作者：
MORASSO, P