Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a biophysical model of neuronal dynamics
Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a biophysical model of neuronal dynamics
复制标题
DOI：
10.1088/0954-898x/14/4/305
复制
发表时间：
2003-11-01
影响因子：
7.8
通讯作者：
Friston, KJ
中科院分区：
文献类型：
--
作者：
Breakspear, M;Terry, JR;Friston, KJ
在本文中，研究了神经系统的非线性模型中的复杂动力同步，并探讨了行为的计算意义。局部神经动力学由电压和配体门控离子通道和密度相互连接的兴奋性和抑制性神经元之间的反馈确定。本地网络的介观阵列是通过通过弱兴奋性到兴奋性连接引入本地网络之间的耦合来建模的。结果表明，通过调节这种长期突触耦合，该系统经历了从独立振荡到稳定混沌同步的过渡。在这些状态之间存在与空间域中同步区域的时间域和同步区域簇相关的“弱”稳定状态。本文以讨论此类过程在大脑中的推定相关性的讨论，包括神经调节系统的作用以及感官感知，适应，计算和复杂性的基础机制。
In this paper, complex dynamical synchronization in a non-linear model of a neural system is studied, and the computational significance of the behaviours is explored. The local neural dynamics is determined by voltage- and ligand-gated ion channels and feedback between densely interconnected excitatory and inhibitory neurons. A mesoscopic array of local networks is modelled by introducing coupling between the local networks via weak excitatory-to-excitatory connectivity. It is shown that with modulation of this long-range synaptic coupling, the system undergoes a transition from independent oscillations to stable chaotic synchronization. Between these states exists a 'weakly' stable state associated with complex, intermittent behaviour in the temporal domain and clusters of synchronous regions in the spatial domain. The paper concludes with a discussion of the putative relevance of such processes in the brain, including the role of neuromodulatory systems and the mechanisms underlying sensory perception, adaptation, computation and complexity.