非局部合的Hindmarsh-Rose神经元的集体动力学被磁流改变了
L Messee Goulefack1,2, Marlon F Ramos3, R Yamapi1
1Fundamental Physics Laboratory, Department of Physics, Faculty of Science, University of Douala, Box 24, 157 Douala, Cameroon.
Chaos (Woodbury, N.Y.)
|August 7, 2023
概括
这项研究探讨了磁流和合强度如何影响Hindmarsh-Rose神经元网络. 增加这些参数通常会提高连贯性,改变发射模式,影响网络动态.
科学领域:
- 计算神经科学是一种神经科学.
- 复杂的系统复杂的系统.
- 非线性动力学是一种非线性动力学.
背景情况:
- 欣德马什-罗斯神经元是研究神经元发射模式的一个模型.
- 非局部合引入神经网络中的复杂相互作用.
- 磁流感应可以改变神经元刺激性.
研究的目的:
- 为了研究磁流 (通过二次记忆器) 和非局部合强度对Hindmarsh-Rose神经元网络动态的影响.
- 分析memristor强度 (k) 和合强度 (σ) 的变化如何影响集体行为,连贯性和发射模式.
- 探索互动范围对网络动态的影响.
主要方法:
- 模拟非局部合的Hindmarsh-Rose神经元与磁流感应.
- 使用强度为k的二进制memristor修改膜电位.
- 实现强度为 σ 的非局部合和不同的相互作用半径.
- 分析连贯性,爆发频率,峰值特征和静止期的变化.
主要成果:
- 增加memristor强度 (k) 和合强度 (σ) 一般会增加网络的一致性.
- 在特定的参数范围内观察到偏离增强的连贯性.
- 较高的k值会导致爆发频率增加,峰值数/振幅减少,静止时间更长.
- 相互作用范围的变化 (邻近all-to-all) 显示了质量上类似的诱导影响.
结论:
- 磁流感应和非局部合是调节神经元网络动态的重要因素.
- 记忆器强度和合强度之间的相互作用提供了一种控制网络连贯性和点火模式的手段.
- 这些发现有助于理解神经系统中复杂的集体行为.
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