Sensor integration in KIV brain model for decision making

Authors:
Roman Ilin;Robert Kozma
Affiliations:
Department of Computer Science, The University of Memphis, Memphis, TN;Department of Computer Science, The University of Memphis, Memphis, TN
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

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Abstract

KIV, a biologically inspired neural network with non-convergent dynamics is considered. This contribution builds on the previous studies concerning components of KIV and considers sensor integration. The method is demonstrated using a sim pie character recognition task. The significance of the results in the framework of biologically plausible sensor integration is discussed.