Simple capacitor-switch model of excitatory and inhibitory neuron with all parts biologically explained allows input fire pattern dependent chaotic oscillations
Simple capacitor-switch model of excitatory and inhibitory neuron with all parts biologically explained allows input fire pattern dependent chaotic oscillations
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DOI：
10.1038/s41598-020-63834-7
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发表时间：
2020-04-30
影响因子：
4.6
通讯作者：
Prochazka, Ales
中科院分区：
文献类型：
--
作者：
Cejnar, Pavel;Vysata, Oldrich;Prochazka, Ales
由于已知大脑的信息处理能力，神经元在许多不同的水平上建模。电路理论也经常用于描述神经元的功能，特别是在复杂的多室模型中，但是当用于简单模型时，使用的部分没有后续的生物学依据。我们提出了一种新的兴奋性和抑制性神经元的单室模型，即兴奋性和抑制性神经元的电容开关模型，作为现有的集成-激活模型的扩展，保留了更复杂的多室模型的信号特性。然后讨论模型的每个部分与神经元细胞中现有结构的对应关系。我们证明了一些这样的相互连接的模型单元能够作为一个混沌振荡器，依赖于输入信号的五个模式，通过输出信号提供复杂的确定性和特定的响应。该模型满足了构造混沌振荡器的必要条件。电容开关模型提供了基于神经元细胞的混沌振荡器的生物学上合理的概念。
Due to known information processing capabilities of the brain, neurons are modeled at many different levels. Circuit theory is also often used to describe the function of neurons, especially in complex multi-compartment models, but when used for simple models, there is no subsequent biological justification of used parts. We propose a new single-compartment model of excitatory and inhibitory neuron, the capacitor-switch model of excitatory and inhibitory neuron, as an extension of the existing integrate-and-fire model, preserving the signal properties of more complex multi-compartment models. The correspondence to existing structures in the neuronal cell is then discussed for each part of the model. We demonstrate that a few such inter-connected model units are capable of acting as a chaotic oscillator dependent on fire patterns of the input signal providing a complex deterministic and specific response through the output signal. The well-known necessary conditions for constructing a chaotic oscillator are met for our presented model. The capacitor-switch model provides a biologically-plausible concept of chaotic oscillator based on neuronal cells.