WALKING - A COMPLEX BEHAVIOR CONTROLLED BY SIMPLE NETWORKS
WALKING - A COMPLEX BEHAVIOR CONTROLLED BY SIMPLE NETWORKS
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DOI：
10.1177/105971239500300403
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发表时间：
1995-03-01
影响因子：
1.6
通讯作者：
KINDERMANN, T
中科院分区：
文献类型：
--
作者：
CRUSE, H;BARTLING, C;KINDERMANN, T
了解行为是如何控制的，需要将建模与行为，电生理和神经解剖学研究相结合。研究运动系统的一个问题是，它们有相当大的自主性;它们不仅仅是由输入驱动的。选择步行作为研究对象是有希望的，因为它是一个非常简单和容易引发的行为，但它表现出大多数运动行为的特点-中央，自主成分和周边，感觉影响之间的相互作用。本文从单足控制和腿间协调机制的行为学研究入手，综述了竹节虫行走控制的研究进展。这些行为的结果进行了测试和支持的人工神经网络计算机仿真和六腿机器人的控制系统建模支持神经生理学的结果也被认为是。结果表明，高灵活性和适应性是基于一个简单的分布式控制结构。
Understanding how behavior is controlled requires that modeling be combined with behavioral, electrophysiological, and neuroanatomical investigations. One problem in studying motor systems is that they have considerable autonomy; they are not driven solely by inputs. Choosing walking as the object of study is promising because if is a comparably simple and easy-to-elicit behavior, but it exhibits the special feature of most motor behavior-the interaction between central, autonomous components and peripheral, sensory influences. This article reviews the control of walking in stick insects, beginning with behavioral studies of single-leg control and She interleg coordinating mechanisms. These behavioral results are tested and supported by modeling the control system in an artificial neural network computer simulation and a six-legged robot Supporting neurophysiological results also are considered. Together the results indicate that the high flexibility and adaptability is based on a simple distributed control structure.