Interactions between neural networks: a mechanism for tuning chaos and oscillations
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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.
KeywordsChaos Neural network Bifurcation Associate memory Stability Crisis
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