Biologically inspired temporal sequence learning

We propose a temporal sequence learning model in spiking neural networks consisting of Izhikevich spiking neurons.In our reward-based learning model, we train a network to associate two stimuli with temporal delay and a target response. Learning rule is dependent on reward signals that modulate the...

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Main Authors: Yusoff, Nooraini, Grüning, André
格式: Article
语言:English
出版: Elsevier Ltd. 2012
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在线阅读:http://repo.uum.edu.my/12490/1/1-s2.pdf
http://repo.uum.edu.my/12490/
http://dx.doi.org/10.1016/j.proeng.2012.07.179
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