Analysis of synaptic weight distribution in an Izhikevich network

Conference paper

Guo, L., Yang, Z. and Zhu, Q. 2013. Analysis of synaptic weight distribution in an Izhikevich network. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium 24 - 26 Apr 2013
TypeConference paper
TitleAnalysis of synaptic weight distribution in an Izhikevich network
AuthorsGuo, L., Yang, Z. and Zhu, Q.
Abstract

Izhikevich network is a relatively new neuronal network, which consists of cortical spiking model neurons with axonal conduction delays and spike-timingdependent
plasticity (STDP) with hard bound adaptation. In this work, we use uniform and Gaussian distributions respectively to initialize the weights of all excitatory neurons. After the network undergoes a few minutes of STDP adaptation, we can see that the weights of all synapses in the network, for both initial weight distributions, form a bimodal distribution, and numerically the established distribution presents dynamic stability.

ConferenceEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
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PrintApr 2013
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Deposited28 Feb 2013
Output statusPublished
Web address (URL)http://www.esann.org
LanguageEnglish
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