Journal of Signal Processing
Online ISSN : 1880-1013
Print ISSN : 1342-6230
ISSN-L : 1342-6230
Polygonal Structure Models of Ring Inhibitory Neural Network
Yuki ShojiYoko UwateYoshifumi Nishio
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2014 Volume 18 Issue 4 Pages 169-172

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Abstract
The ring inhibitory neural network is a typical neural system used to generate oscillation with a simple structure. Neurons in the ring inhibitory neural network are connected in one direction. In this study, we propose polygonal structure models of the ring inhibitory neural network that are composed of multiple ring inhibitory neural networks. We confirm that the polygonal structure models based on triquetrous and pentagonal models composed of three and five neurons respectively can oscillate. In our simulations, the polygonal structure models show various synchronization and oscillation phenomena based on their network topology.
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© 2014 Research Institute of Signal Processing, Japan
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