Low Cost Interconnected Architecture for the Hardware Spiking Neural Networks

Low Cost Interconnected Architecture for the Hardware Spiking Neural Networks

A novel low cost interconnected architecture (LCIA) is proposed in this paper, which is an efficient solution for the neuron interconnections for the hardware spiking neural networks (SNNs). It is based on an all-to-all connection that takes each paired input and output nodes of multi-layer SNNs as...

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Bibliographic Details
Main Authors: Yuling Luo, Lei Wan, Junxiu Liu, Jim Harkin, Liam McDaid, Yi Cao, Xuemei Ding
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Neuroscience
Subjects:
interconnected architecture
spiking neural networks
Networks-on-Chip
system scalability
arbitration scheme
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00857/full

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https://www.frontiersin.org/article/10.3389/fnins.2018.00857/full

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