Stimulus-stimulus association via reinforcement learning in spiking neural network
In this paper, we propose an algorithm that performs stimulus-stimulus association via reinforcement learning.In particular, we develop a recurrent network with dynamic properties of Izhikevich spiking neuron model and train the network to associate a stimulus pair using reward modulated spike-time...
Main Authors: | Yusoff, Nooraini, Kabir Ahmad, Farzana |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/12504/1/069.pdf |
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