Title :
Sensor integration in KIV brain model for decision making
Author :
Ilin, Roman ; Kozma, Robert
Author_Institution :
Dept. of Comput. Sci., Univ. of Memphis, Memphis, TN, USA
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 simple character recognition task. The significance of the results in the framework of biologically plausible sensor integration is discussed.
Keywords :
biosensors; brain models; decision making; neural nets; KIV brain model; biologically inspired neural network; character recognition; decision making; nonconvergent dynamics; sensor integration; Basal ganglia; Biological neural networks; Biological system modeling; Biosensors; Brain modeling; Character recognition; Cognition; Decision making; Intelligent sensors; Sensor systems;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5179015
