对称性破坏者控制着神经元启发网络中的同步模式
Anil Kumar1,2, Edmilson Roque Dos Santos1,2, Paul J Laurienti3
1Department of Electrical and Computer Engineering, Clarkson University, 8 Clarkson Ave., Potsdam 13699, New York, USA.
Chaos (Woodbury, N.Y.)
|November 6, 2024
概括
这项研究揭示了管理层如何破坏对称性,以控制神经网络中的模式切换. 这种机制防止了不必要的完全同步,模仿大脑动态.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 网络科学 网络科学
背景情况:
- 人类大脑随着时间的推移,活动模式和功能网络呈现出动态变化.
- 多层建模提供了对神经生物学层次跨越同步模式的出现和时间演变的见解.
研究的目的:
- 在双层网络模型中研究模式切换.
- 了解管理顶层和层间合作为对称度破坏者的作用.
- 展示一种控制神经网络中的模式稳定性和切换机制.
主要方法:
- 使用一个双层网络模型与合的Hindmarsh-Rose (HR) 振荡器.
- 在小型网络中使用主稳定性函数方法进行分析.
- 研究了顶层在底层动态上的对称性破坏作用.
主要成果:
- 支配的顶层,通过对称性破坏,限制了底层允许的模式.
- 展示了一个简单的时空模式切换机制.
- 阻止了底层的完整同步,这是对大脑功能不理想的状态.
结论:
- 多层网络结构可以显示受控模式切换.
- 管理层破坏对称性是动态网络组织的关键机制.
- 这个模型提供了关于大脑如何在没有完全同步的情况下在功能状态之间切换的见解.
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