在FitzHugh-Nagumo振荡器的阵列中,没有规模的雪崩
Max Contreras1, Everton S Medeiros2, Anna Zakharova1,3
1Institut für Theoretische Physik, Technische Universität Berlin, Hardenbergstraße 36, 10623 Berlin, Germany.
Chaos (Woodbury, N.Y.)
|September 6, 2023
概括
神经雪崩和振荡在大脑皮层共存. 一个新的模型显示,在canard过渡附近的抑制相互作用可以产生这些雪崩模式,这表明神经动力学的关键性.
科学领域:
- 计算神经科学是一种神经科学.
- 理论神经科学 理论神经科学
- 复杂的系统复杂的系统.
背景情况:
- 大脑皮层同时表现出集体振荡和神经元雪崩,其特点是间歇性的尖爆发和静止.
- 这种共存的基本机制仍然是激烈的科学辩论和研究的主题.
研究的目的:
- 为了证明雪崩活动模式可以从结合的神经振荡器的简化模型中出现.
- 阐明神经网络中雪崩和同步状态共存的机制.
主要方法:
- 利用了一个具有多时尺度局部动态的扩散合神经振荡器模型.
- 研究了系统在canard过渡附近的行为.
- 分析了抑制相互作用的作用及其与最大的相互作用在产生雪崩中的作用.
主要成果:
- 雪崩活动模式被成功生成,并被证明与完全同步的放松振荡状态共存.
- 确定了一种抑制性相互作用机制,可以灭单元升,从而导致雪崩形成.
- 观察到事件大小的规模不变分布,表明了关键性.
- 系统对干扰的敏感性增加,包括关键减速和降低弹性.
结论:
- 一个简单的模型,包括在canard过渡附近的抑制相互作用,可以重现神经元雪崩的复杂动态.
- 这些发现为大脑皮层中振荡和雪崩的共存提供了一个潜在的机制.
- 观察到的关键现象表明神经系统可能在关键状态附近运行,增强信息处理和适应能力.
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