A general rhythmic pattern generation architecture for legged locomotion

Book chapter


Yang, Z. and Franca, F. 2008. A general rhythmic pattern generation architecture for legged locomotion. in: Pazos, A., Sierra, A. and Buceta, W. (ed.) Advancing Artificial Intelligence through Biological Process Applications New York IGI Global Publisher.
Chapter titleA general rhythmic pattern generation architecture for legged locomotion
AuthorsYang, Z. and Franca, F.
Abstract

As an engine of almost all life phenomena, the motor information generated by the central nervous system (CNS) plays a critical role in the activities of all animals. After a brief review of some recent research results on locomotor central pattern generators (CPG), which is a concrete branch of studies on the CNS generating rhythmic patterns, this chapter presents a novel, macroscopic and model-independent approach to the retrieval of different patterns of coupled neural oscillations observed in biological CPGs during the control of legged locomotion. Based on scheduling by multiple edge reversal (SMER), a simple and discrete distributed synchroniser, various types of oscillatory building blocks (OBB) can be reconfigured for the production of complicated rhythmic patterns and a methodology is provided for the construction of a target artificial CPG architecture behaving as a SMER-like asymmetric Hopfield neural networks.

Book titleAdvancing Artificial Intelligence through Biological Process Applications
EditorsPazos, A., Sierra, A. and Buceta, W.
PublisherIGI Global Publisher
Place of publicationNew York
ISBN
Hardcover9781599049960
Publication dates
PrintJul 2008
Publication process dates
Deposited11 Feb 2013
Output statusPublished
Web address (URL)http://www.igi-global.com/book/advancing-artificial-intelligence-through-biological/57
Digital Object Identifier (DOI)https://doi.org/10.4018/978-1-59904-996-0.ch012
LanguageEnglish
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