STDP-based spiking deep convolutional neural networks for object recognition

Previous studies have shown that spike-timing-dependent plasticity (STDP) can be used in spiking neural networks (SNN) to extract visual features of low or intermediate complexity in an unsupervised manner. These studies, however, used relatively shallow architectures, and only one layer was trainab...

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Vydané v:	Neural networks Ročník 99; s. 56 - 67
Hlavní autori:	Kheradpisheh, Saeed Reza, Ganjtabesh, Mohammad, Thorpe, Simon J., Masquelier, Timothée
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Ltd 01.03.2018 Elsevier
Predmet:	Action Potentials - physiology Animals Cognitive science Computer Simulation - trends Deep learning Humans Learning - physiology Models, Neurological Neural Networks (Computer) Neuronal Plasticity - physiology Neurons - physiology Neuroscience Object recognition Pattern Recognition, Visual - physiology Photic Stimulation - methods Spiking neural network STDP Temporal coding Visual Perception - physiology Deep learning STDP Object recognition Spiking neural network Temporal coding
ISSN:	0893-6080, 1879-2782, 1879-2782
On-line prístup:	Získať plný text
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