随机控制的峰值活动凸起扩张:单调和共振现象
Anna Zakharova1,2, Vladimir V Semenov1,3
1Institut für Theoretische Physik, Technische Universität Berlin, Hardenbergstraße 36, 10623 Berlin, Germany.
Chaos (Woodbury, N.Y.)
|August 3, 2023
概括
通过调整倍数噪声强度,可以控制可视化尖端振荡器中的神经活动模式,称为颠. 非局部合进一步保护这些模式免受噪声引起的破坏.
科学领域:
- 计算神经科学是一种计算神经科学.
- 理论物理学的理论物理.
- 动态系统是动态系统.
背景情况:
- 双可伸缩的尖振荡器表现出两个共存的状态:自我维持的尖和静止.
- 在这些振荡器组合中,空间局部化的活动模式或"凸起"出现.
- 了解这些突起的动态和控制对于建模神经活动至关重要.
研究的目的:
- 为了研究乘数噪声对可视化尖端振荡器组合中的活动凸起的增长和收缩的影响.
- 探索合 (局部与非局部) 在噪音条件下的模式稳定性中的作用.
- 为了比较不同振荡器模型中的噪声效应,特别是Hindmarsh-Rose和Semenov等.
主要方法:
- 偶联的双稳定尖振荡器的数值模拟.
- 在不同倍数噪声强度下分析活动碰撞动态.
- 在本地和非本地合方案下的模式行为比较.
主要成果:
- 乘法噪声强度单调地控制了Hindmarsh-Rose振荡器中的碰撞动态.
- 在Semenov et al.中观察到一个共振噪声效应. 模型,以最佳的噪音水平来稳定.
- 非局部合显著提高图案稳定性,保护域和前线免受噪声的影响,与局部合不同.
结论:
- 多倍噪声提供了一个可调节的机制,用于控制可视化系统中的神经活动凸起.
- 特定的振荡器模型决定了噪声效应的性质 (单调与共振).
- 非局部合是一种强大的策略,用于在噪声存在时保持图案完整性.
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