Yusoff, Nooraini and Ahmad, Farzana Kabir and Che Pa, Noraziah and Ab. Aziz, Azizi (2015) Learning stimulus-stimulus association in spatio-temporal neural networks. Jurnal Teknologi, 77 (5). pp. 101-112. ISSN 0127-9696

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Abstract

We propose a stimulus-stimulus association learning by coupling firing rate and precise spike timing encoding for spatio-temporal neural networks.We simulate a generic recurrent network with random and sparse connectivity consisting of Izhikevich spiking neurons.The magnitude of weight adjustment in learning is dependent on pre- and postsynaptic spikes based on their spikes count and time correlation. As a result of learning, synchronisation of activity among inter- and intra-subpopulation neurons demonstrates association between two stimuli.The associations show in spill-over of activity between the two stimuli involved.

Item Type:	Article
Uncontrolled Keywords:	Associative learning, stimulus-stimulus association, spatio-temporal neural networks, spike-timing dependent plasticity
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	School of Computing
Depositing User:	Dr. Nooraini Yusoff
Date Deposited:	17 Dec 2015 06:52
Last Modified:	28 Apr 2016 01:56
URI:	https://repo.uum.edu.my/id/eprint/16449

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