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相同θ神经元网络的动力学

The Dynamics of Networks of Identical Theta Neurons.

作者信息

Laing Carlo R

机构信息

Institute of Natural and Mathematical Sciences, Massey University, Auckland, New Zealand.

出版信息

J Math Neurosci. 2018 Feb 5;8(1):4. doi: 10.1186/s13408-018-0059-7.

Abstract

We consider finite and infinite all-to-all coupled networks of identical theta neurons. Two types of synaptic interactions are investigated: instantaneous and delayed (via first-order synaptic processing). Extensive use is made of the Watanabe/Strogatz (WS) ansatz for reducing the dimension of networks of identical sinusoidally-coupled oscillators. As well as the degeneracy associated with the constants of motion of the WS ansatz, we also find continuous families of solutions for instantaneously coupled neurons, resulting from the reversibility of the reduced model and the form of the synaptic input. We also investigate a number of similar related models. We conclude that the dynamics of networks of all-to-all coupled identical neurons can be surprisingly complicated.

摘要

我们考虑由相同的theta神经元组成的有限和无限全对全耦合网络。研究了两种类型的突触相互作用:瞬时的和延迟的(通过一阶突触处理)。广泛使用渡边/斯特罗加茨(WS)假设来降低相同正弦耦合振荡器网络的维度。除了与WS假设的运动常数相关的简并性之外,我们还发现了瞬时耦合神经元的连续解族,这是由简化模型的可逆性和突触输入的形式导致的。我们还研究了一些类似的相关模型。我们得出结论,全对全耦合相同神经元网络的动力学可能会出奇地复杂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a974/5799134/49249ccc9e01/13408_2018_59_Fig1_HTML.jpg

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