A low dimensional description of globally coupled heterogeneous neural networks of excitatory and inhibitory neurons.
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ABSTRACT:
SUBMITTER: Stefanescu RA
PROVIDER: S-EPMC2574034 | biostudies-literature | 2008 Nov
REPOSITORIES: biostudies-literature
Publications
A low dimensional description of globally coupled heterogeneous neural networks of excitatory and inhibitory neurons.
Stefanescu Roxana A RA Jirsa Viktor K VK
PLoS computational biology 20081114 11
Neural networks consisting of globally coupled excitatory and inhibitory nonidentical neurons may exhibit a complex dynamic behavior including synchronization, multiclustered solutions in phase space, and oscillator death. We investigate the conditions under which these behaviors occur in a multidimensional parametric space defined by the connectivity strengths and dispersion of the neuronal membrane excitability. Using mode decomposition techniques, we further derive analytically a low dimensio ...[more]
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