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

• 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: 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
• Institution: Nanyang Technological University

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...