转移稳定的动力学源于在休息状态下皮质的局部刺激抑制恒常状态
Francisco Páscoa Dos Santos1,2, Paul F M J Verschure3
1Eodyne Systems SL, Barcelona, Spain.
Network neuroscience (Cambridge, Mass.)
|October 24, 2025
概括
人类皮质 - 人类皮质.
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.
背景情况:
- 皮层动态表现出超稳定性,这对于探索网络状态至关重要.
- 这种转移稳定性依赖于由激发性-抑制性 (E-I) 稳定性控制的电路级动态.
- 对于E-I恒温机制对皮质转移稳定性的具体贡献尚不清楚.
研究的目的:
- 研究个体激发-抑制 (E-I) 恒常机制如何独特地促进人类皮质中静止状态动态的出现.
- 测试假设,多个E-I稳态机制对于复制实证皮质连接和动态至关重要.
主要方法:
- 开发和分析人类大脑皮层的大规模计算模型.
- 模拟各种E-I恒温机制及其对网络动态的影响.
- 对实证连接性,元稳定性和功能复杂性的模型再现的评估.
主要成果:
- 只有当多个E-I恒温机制被纳入模型时,才会复制实证皮层动力学.
- 兴奋和抑制的恒常性提高了转移稳定性,而内在兴奋性调节确保了适度的同步,以达到最大的功能复杂性.
- E-I平衡调节连接器枢纽中的分叉动态,补偿输入波动,特别是在模拟局部马振荡时.
结论:
- 皮层网络通过多因素的E-I平衡恒常性实现自我组织,以达到最大的转移稳定性.
- 多种恒温机制提供了超越电路层面的好处,支持大规模的转移稳定的皮质网络动态.
- 在人类大脑皮层中,E-I平衡,马节奏和转移稳定的动态之间存在联系.
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