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Simulation of contra-lateral inhibition using venn-networks

De Lima Neto, F.B., De Wilde, Philippe (2007) Simulation of contra-lateral inhibition using venn-networks. Journal of Intelligent & Fuzzy Systems, 18 (5). pp. 485-491. ISSN 1064-1246. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:93359)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
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Abstract

This paper illustrates how a computer model, based on Venn-networks, mimics a physiological phenomenon present in brains of higher animals: contra-lateral inhibition. The experiments were carried out by utilizing the GVNS, i.e. Generalized Venn-network Simulator. The data-set utilized in all simulations consisted of digital representations of finger positions of a piano player when performing a Mozart sonata. Results show that it is possible for the referred computer model to simultaneously exhibit topological network activations while controlling a simple task such as 'moving fingers' as well as incorporating contra-lateral like inhibition.

Item Type: Article
Uncontrolled keywords: Artificial neural networks, Brain modeling, Brain physiology, Contra-lateral inhibition, Venn-network
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Philippe De Wilde
Date Deposited: 20 Dec 2022 14:57 UTC
Last Modified: 20 Dec 2022 14:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/93359 (The current URI for this page, for reference purposes)

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