A neuromorphic-hardware oriented bio-plausible online-learning spiking neural network model

A neuromorphic-hardware oriented bio-plausible online-learning spiking neural network model

Neuromorphic hardware inspired by the brain has attracted much attention for its advanced information processing concept. However, implementing online learning in the neuromorphic chip is still challenging. In this paper, we present a bio-plausible online-learning spiking neural network (SNN) model...

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Bibliographic Details
Main Authors: Qiao, G. C., Hu, S. G., Wang, J. J., Zhang, C. M., Ning, N., Yu, Q., Liu, Y., Chen, Tu Pei
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2019
Subjects:
Neuromorphic Hardware
Online Learning
Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/90044
http://hdl.handle.net/10220/49348

Internet

https://hdl.handle.net/10356/90044
http://hdl.handle.net/10220/49348

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