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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Bibliographic Details
Published in:	Neural networks Vol. 99; pp. 56 - 67
Main Authors:	Kheradpisheh, Saeed Reza, Ganjtabesh, Mohammad, Thorpe, Simon J., Masquelier, Timothée
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.03.2018 Elsevier
Subjects:	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
Online Access:	Get full text
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