通过可切换组件对联的神经双电容电路进行可调节的同步控制
Zhenpu Liu1, Suyuan Huang1, Yuan Chai1
1School of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, 201306 China.
Cognitive neurodynamics
|November 11, 2025
概括
这项研究比较了memristors,感应线圈和Josephson连接如何在合模型中影响神经元同步. 记忆器模型显示出最好的噪声弹性,为神经网络设计提供了洞察力.
科学领域:
- 神经科学是一个神经科学.
- 电气工程 电气工程
- 复杂的系统复杂的系统.
背景情况:
- 神经元同步对于理解大脑功能和开发疗法至关重要.
- 以前的研究经常单独分析电气组件,缺乏对它们对合神经系统的综合影响的比较见解.
研究的目的:
- 为了研究和比较与memristor (M),感应线圈 (L) 和Josephson连接 (JJ) 组件相结合的双容量神经元模型的同步动态.
- 分析不同电气元件在不同的外部刺激和噪声水平下如何影响神经元同步.
主要方法:
- 使用可切换的memristor,感应线圈和约瑟夫森连接元件的合双容量神经元模型.
- 应用贝塞尔函数调制的外部刺激来诱导复杂的动态行为.
- 通过不同的合强度,刺激参数和噪声干扰系统地分析了同步特性.
主要成果:
- 感应线圈 (L) 模型对频率变化具有很高的灵敏度.
- 约瑟夫森结 (JJ) 模型在特定参数范围内展示了强大的同步.
- 与L和JJ模型相比,memristor (M) 模型对噪声干扰具有更高的弹性.
结论:
- 每个电气组件都赋予神经元同步动态不同的特性.
- 记忆器组件为增强神经网络中的噪声弹性提供了显著的潜力.
- 这些发现为设计神经网络和推进基于同步的治疗策略提供了宝贵的见解.
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