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 title | A general rhythmic pattern generation architecture for legged locomotion |
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Authors | Yang, 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 title | Advancing Artificial Intelligence through Biological Process Applications |
Editors | Pazos, A., Sierra, A. and Buceta, W. |
Publisher | IGI Global Publisher |
Place of publication | New York |
ISBN | |
Hardcover | 9781599049960 |
Publication dates | |
Jul 2008 | |
Publication process dates | |
Deposited | 11 Feb 2013 |
Output status | Published |
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 |
Language | English |
https://repository.mdx.ac.uk/item/83y19
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