Silicon Neuronal Network with Excitability Neurons for Edge Detection

摘要：

　　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.

关键词： silicon neuronal network digital spiking silicon neuron silicon synapse receptive field edge detection

作者: J.Li B.Liu

作者单位: College of Electronic Engineering, Xian Shiyou University, Xian, Shannxi Province, China Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Internati

会议类型: 国际会议

会议名称: 2015 Joint International Mechanical,Electronic and Information Technology Conference(JIMET 2015)(2015 联合国际机械,电子与信息技术国际会议)

会议地点: 重庆

会议语种:英文

页码: 686-692

在线出版日期: 2015-12-18（万方平台首次上网日期，不代表论文的发表时间）