能量控制神经网络中的波传播与空间刺激
Yitong Guo1, Mi Lv2, Chunni Wang3
1College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, Gansu, PR China.
概括
电磁场通过调节神经元发射模式和突触连接来影响神经活动. 这项研究引入了一种记忆神经元模型,以探索在电磁辐射下神经网络中的能量动态和同步.
科学领域:
- 计算神经科学是一种神经科学.
- 生物物理学的生物物理.
- 神经工程是神经工程.
背景情况:
- 神经元由于内在的生物物理性质和神经网络异质性而表现出不同的发射模式.
- 现实的电磁场可以不均地激活神经元,从而导致不同的能量分布.
研究的目的:
- 开发一个可行的模型,预测基于能量功能的突触连接增长.
- 研究在电磁干扰下连贯共振和网络同步稳定性的研究.
- 介绍一种记忆神经元模型,用于分析电磁感应和辐射效应.
主要方法:
- 获得了一个能量函数来建模突触连接的增长.
- 分析了平均汉密尔顿能量与噪声干扰强度的分布,以预测连贯共振.
- 计算了一个统计同步因子来评估网络同步和波传播.
- 在神经元模型中引入记忆通道电流,创建记忆神经元电路.
主要成果:
- 连贯共振,以高的神经活动规律性为特征,发生在中等噪音干扰强度.
- 使用统计同步因子,可以预测网络同步稳定性和波传播.
- 神经元之间的能量多样性以适应性控制场合强度,导致局部能量平衡或网络异质性.
- 记忆神经元模型有效地捕捉了电磁感应和辐射的影响.
结论:
- 能量动力学在调节神经网络同步和突触可塑性方面发挥着至关重要的作用.
- 记忆神经网络为研究外部电磁场对神经活动的影响提供了一个有前途的平台.
- 开发的模型提供了对神经系统能量平衡,同步模式和自适应合的洞察.
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