Generating arbitrary rhythmic patterns with purely inhibitory neural networks

Book chapter

Yang, Z. and Franca, F. 1998. Generating arbitrary rhythmic patterns with purely inhibitory neural networks. in: Verleysen, M. (ed.) ESANN'1998 proceedings - 6th European symposium on artificial neural networks (Bruges, 22-23-24 April 1998) D facto. pp. 53-58
Chapter titleGenerating arbitrary rhythmic patterns with purely inhibitory neural networks
AuthorsYang, Z. and Franca, F.
Abstract

A novel approach for the prediction and generation of coupled neural oscillation among arbitrarily connected inhibitory neurons is proposed. Based on Scheduling by Multiple Edge Reversal (SMER), a very simple distributed algorithm, neural network building blocks can be configured for the generation of complex rhythmic patterns with a very high independence from individual neuronal models. A method for the organization and simulation of the new approach is illustrated by mimicking the main rhythmic gait patterns of an hexapodal animal.

Page range53-58
Book titleESANN'1998 proceedings - 6th European symposium on artificial neural networks (Bruges, 22-23-24 April 1998)
EditorsVerleysen, M.
PublisherD facto
ISBN
Hardcover9782960004984
Publication dates
Print1998
Publication process dates
Deposited20 Feb 2013
Output statusPublished
Web address (URL)http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es1998-36-S.pdf
LanguageEnglish
Event6th European Symposium on Artificial Neural Networks
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