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Interactions between neural networks: a mechanism for tuning chaos and oscillations

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Abstract

We show that chaos and oscillations in a higher-order binary neural network can be tuned effectively using interactions between neural networks. Our results suggest that network interactions may be useful as a means of adjusting the level of dynamic activities in systems that employ chaos and oscillations for information processing, or as a means of suppressing oscillatory behaviors in systems that require stability.

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Acknowledgements

We are very grateful for the helpful review comments that have helped to improve the paper.

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Authors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, Singapore, 639798, Singapore

    Lipo Wang

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  1. Lipo Wang
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Correspondence to Lipo Wang.

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URL: http:// www.ntu.edu.sg/home/elpwang

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Wang, L. Interactions between neural networks: a mechanism for tuning chaos and oscillations. Cogn Neurodyn 1, 185–188 (2007). https://doi.org/10.1007/s11571-006-9004-7

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  • DOI: https://doi.org/10.1007/s11571-006-9004-7

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