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Published on: May 29, 2017
Second order neurons and learning in Cohen-Grossberg networks
1School of Informatics and Engineering, Flinders University, G.P.O. Box 2100, Adelaide, Australia. gopal@infoeng.flinders.edu.au
Abstract:
The well known Cohen-Grossberg network is modified to include second order neural interconnections and also to have a learning component. Sufficient conditions are obtained for the existence of a globally exponentially stable equilibrium. The model provides a two-fold generalization of the Cohen-Grossberg network in the sense if one removes the learning component, then one gets a network with second order synaptic interactions; if both the learning component and the second order interactions are removed, then the model reduces to the standard Cohen-Grossberg network.
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