Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a biophysical model of neuronal dynamics

被引:108
作者
Breakspear, M
Terry, JR
Friston, KJ
机构
[1] Univ Sydney, Sch Phys, Sydney, NSW 2006, Australia
[2] Westmead Hosp, Brain Dynam Ctr, Westmead, NSW 2145, Australia
[3] Univ Loughborough, Dept Math Sci, Loughborough, Leics, England
[4] UCL, Wellcome Dept Imaging Neurosci, London, England
关键词
D O I
10.1088/0954-898X/14/4/305
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:703 / 732
页数:30
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