Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference

Silicon Neuronal Network with Excitability Neurons for Edge Detection

Authors
J. Li, B. Liu
Corresponding Author
J. Li
Available Online December 2015.
DOI
10.2991/jimet-15.2015.128How to use a DOI?
Keywords
silicon neuronal network; digital spiking silicon neuron; silicon synapse; receptive field; edge detection
Abstract

Inspired by the human vision system, neuromorphic vision systems simulating the mechanism of signal processing in retina are extensively investigated. This paper describes a silicon neuronal network with bio-inspired structure detects the edge information in image. The digital spiking silicon neuron (DSSN) and silicon synapse models are used to reproduce the neuron, synapse and their dynamic behaviors. The biological receptive fields are realized by the combination of excitatory and inhibitory synapses. Our silicon neuronal network is optimized for the hardware implementation. It is expected to have low hardware consumption and high running speed. The simulation results show that edge detection is successful in our network.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
Series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-129-2
ISSN
2352-538X
DOI
10.2991/jimet-15.2015.128How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - J. Li
AU  - B. Liu
PY  - 2015/12
DA  - 2015/12
TI  - Silicon Neuronal Network with Excitability Neurons for Edge Detection
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 686
EP  - 692
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.128
DO  - 10.2991/jimet-15.2015.128
ID  - Li2015/12
ER  -