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: | , |
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| Other Authors: | |
| Format: | Book Section |
| Published: |
Springer
2010
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/12487/ http://dx.doi.org/10.1007/978-3-642-15819-3_30 |
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