Circuit Implementation Of Spike Time Dependent Plasticity (Stdp) For Artificial Synapse

2012 IEEE INTERNATIONAL CONFERENCE ON ELECTRON DEVICES AND SOLID STATE CIRCUIT (EDSSC)(2012)

引用 1|浏览3
暂无评分
摘要
Synapses are crucial elements for computation and information storage in both human brain and artificial neural systems. This paper presents a compact implementation of synaptic strength modification circuit based on a resistive switching device. The circuit works according to a Spike Time Dependent Plasticity (STDP) rule, ensuring that the timing between pre and post synaptic spikes lead to the Long Term Potentiation (LTP) and the Long Term Depression (LTD), and the modification of resistance in resistive switching device, finally the strength of synaptic connections is modified. This circuit is designed under a 0.13um CMOS technology. The proposed circuit is suitable for CMOS implementation of neuromorphic architectures.
更多
查看译文
关键词
neural network,synapse,resistive switching device,spike time dependent plasticity,synaptic weight
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要