Supervised associative learning in spiking neural network

In this paper, we propose a simple supervised associative learning approach for spiking neural networks. In an excitatory-inhibitory network paradigm with Izhikevich spiking neurons, synaptic plasticity is implemented on excitatory to excitatory synapses dependent on both spike emission rates and sp...

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Main Authors: Yusoff, Nooraini, Grüning, André
Other Authors: Diamantaras, Konstantinos
Format: Book Section
Published: Springer 2010
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Online Access:http://repo.uum.edu.my/12487/
http://dx.doi.org/10.1007/978-3-642-15819-3_30
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Institution: Universiti Utara Malaysia
Record Id: my.uum.repo.12487
epo.12487