A Delay Learning Algorithm Based on Spike Train Kernels for Spiking Neurons
Neuroscience research confirms that the synaptic delays are not constant, but can be modulated. This paper proposes a supervised delay learning algorithm for spiking neurons with temporal encoding, in which both the weight and delay of a synaptic connection can be adjusted to enhance the learning pe...
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| Huvudupphov: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Frontiers Media S.A.
2019-03-01
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| Serie: | Frontiers in Neuroscience |
| Ämnen: | |
| Länkar: | https://www.frontiersin.org/article/10.3389/fnins.2019.00252/full |
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