计算机科学
稳健性(进化)
尖峰神经网络
CMOS芯片
电容器
晶体管
电阻器
炸薯条
电子线路
背景(考古学)
电子工程
人工神经网络
人工智能
电气工程
工程类
电压
电信
基因
生物
古生物学
生物化学
化学
作者
Hadis Takaloo,Arash Ahmadi,Majid Ahmadi
出处
期刊:IEEE Transactions on Circuits and Systems Ii-express Briefs
[Institute of Electrical and Electronics Engineers]
日期:2022-09-05
卷期号:70 (1): 6-10
被引量:14
标识
DOI:10.1109/tcsii.2022.3203929
摘要
We propose the design and analysis of the Morris-Lecar spiking neuron in optimized analog implementation from a methodical standpoint to frame the neuron design within a theoretical context targeting the design of efficient solutions for the low-complexity analog implementation of Spiking Neural Networks (SNNs). In the proposed neuron CMOS circuit, the most chip area-consumer elements that are generally a leakage resistor and state capacitors have been crossed off while the neuron excitation stimuli is adjusted through an on-chip single transistor. Furthermore, the proposed analysis is potentially investigated to enhance the reliability and robustness of the analog system by embracing the effects of intrinsic random manufacturing process variations. The study is developed based on a 45nm standard CMOS technology for low power applications.
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