相同θ神经元网络的动力学。

IF 2.3 4区 医学 Q1 Neuroscience Journal of Mathematical Neuroscience Pub Date : 2018-02-05 DOI:10.1186/s13408-018-0059-7
Carlo R Laing
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引用次数: 32

摘要

我们考虑相同神经元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:瞬时和延迟(通过一阶突触处理)。广泛使用Watanabe/Strogatz (WS) ansatz来降低相同正弦耦合振荡器网络的维数。除了与wsansatz的运动常数相关的退化外,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引起的。我们还研究了一些类似的相关模型。我们的结论是,所有对所有耦合的相同神经元网络的动态可以是惊人的复杂。
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The Dynamics of Networks of Identical Theta Neurons.

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.

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来源期刊
Journal of Mathematical Neuroscience
Journal of Mathematical Neuroscience Neuroscience-Neuroscience (miscellaneous)
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审稿时长
13 weeks
期刊介绍: The Journal of Mathematical Neuroscience (JMN) publishes research articles on the mathematical modeling and analysis of all areas of neuroscience, i.e., the study of the nervous system and its dysfunctions. The focus is on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behaviours in neuroscience at all relevant scales, from the molecular world to that of cognition. The aim is to publish work that uses advanced mathematical techniques to illuminate these questions. It publishes full length original papers, rapid communications and review articles. Papers that combine theoretical results supported by convincing numerical experiments are especially encouraged. Papers that introduce and help develop those new pieces of mathematical theory which are likely to be relevant to future studies of the nervous system in general and the human brain in particular are also welcome.
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