The role of synchronization of CMOS neuronal circuitry in Noise suppression

WU Cuxia; ZHANG Peifeng; YANG Junjia; CHANG Xiaolong

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The role of synchronization of CMOS neuronal circuitry in Noise suppression

更新时间：2026-09-04

- The role of synchronization of CMOS neuronal circuitry in Noise suppression
- Vol. 38, Issue 9, Pages: 105-108(2021)
- 作者机构：
  
  陆军炮兵防空兵学院郑州校区,河南,郑州,450052
- 作者简介：
- 基金信息：
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- Published：2021
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武翠霞, 张培峰, 杨军佳, 常小龙. CMOS神经元电路耦合同步对噪声的抑制作用[J]. 微电子学与计算机, 2021, 38(9): 105-108.

WU Cuxia, ZHANG Peifeng, YANG Junjia, et al. The role of synchronization of CMOS neuronal circuitry in Noise suppression[J]. 2021, 38(9): 105-108.
武翠霞, 张培峰, 杨军佳, 常小龙. CMOS神经元电路耦合同步对噪声的抑制作用[J]. 微电子学与计算机, 2021, 38(9): 105-108. DOI：

WU Cuxia, ZHANG Peifeng, YANG Junjia, et al. The role of synchronization of CMOS neuronal circuitry in Noise suppression[J]. 2021, 38(9): 105-108. DOI：

摘要

为了分析神经元电路耦合同步对噪声的抑制作用，构建了COMS神经元电路的耦合网络，借助Hspice工具对噪声干扰环境下神经元电路耦合网络的同步放电行为进行仿真.结果表明：单个神经元电路的放电频率受噪声影响较大，而多个神经元电路耦合同步可以抑制噪声干扰，恢复原有的放电频率.因此，利用多个神经元电路的同步放电行为对输入信号进行编码，能够实现可靠的信息编码.

Abstract

In order to analyze the effect of neuronal circuit coupling synchronization on noise suppression

a COMS neuronal circuit coupling network was constructed

and the synchronous discharge behavior of neuronal circuit coupling network was simulated by Hspice tool. The results show that the discharge frequency of single neuron circuit is greatly affected by noise

while the coupling synchronization of multiple neuron circuits can suppress noise interference and restore the original discharge frequency. Therefore

the synchronous discharge behavior of multiple neuron circuits can be used to encode the input signal to achieve reliable information coding.

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references

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