Learning stimulus-stimulus association in spatio-temporal neural networks

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...

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Bibliographic Details

Main Authors:	Yusoff, Nooraini, Ahmad, Farzana Kabir, Che Pa, Noraziah, Ab. Aziz, Azizi
Format:	Article
Language:	en
Published:	Penerbit UTM Press 2015
Subjects:	QA76 Computer software
Online Access:	https://repo.uum.edu.my/id/eprint/16449/1/rg44.pdf https://repo.uum.edu.my/id/eprint/16449/ http://doi.org/10.11113/jt.v77.6126
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