JOURNAL ARTICLE

A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule

Yunzhe HaoXuhui HuangMeng DongBo Xu

Year: 2019 Journal:   Neural Networks Vol: 121 Pages: 387-395   Publisher: Elsevier BV
Keywords:
MNIST database Spiking neural network Computer science Artificial intelligence Learning rule Machine learning Artificial neural network Embedding Robustness (evolution) Neuromorphic engineering Pattern recognition (psychology)

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173
Cited By
6.83
FWCI (Field Weighted Citation Impact)
88
Refs
0.98
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Citation History

Topics

Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Neural dynamics and brain function
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Neural Networks and Reservoir Computing
Physical Sciences →  Computer Science →  Artificial Intelligence
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