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...

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Detaylı Bibliyografya
Asıl Yazarlar: Yusoff, Nooraini, Kabir Ahmad, Farzana
Materyal Türü: Conference or Workshop Item
Dil:English
Baskı/Yayın Bilgisi: 2013
Konular:
Online Erişim:https://repo.uum.edu.my/id/eprint/12504/1/069.pdf