A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks

There is a biological evidence to prove information is coded through precise timing of spikes in the brain. However, training a population of spiking neurons in a multilayer network to fire at multiple precise times remains a challenging task. Delay learning and the effect of a delay on weight learn...

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Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 29; číslo 11; s. 5394 - 5407
Hlavní autoři:	Taherkhani, Aboozar, Belatreche, Ammar, Yuhua Li, Maguire, Liam P.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.11.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Belief networks Biofeedback Brain Classification Delay Delays Encoding Feedback Firing pattern Learning algorithms Machine learning Multilayer neural network Multilayers Neural networks Neurons Nonhomogeneous media Spikes Spiking spiking neural network (SNN) Supervised learning synaptic delay Synaptic strength Teaching methods Training Weight
ISSN:	2162-237X, 2162-2388, 2162-2388
On-line přístup:	Získat plný text
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