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I 类神经元系统中不同同步模式和突触可塑性的相互作用。

Interplay of different synchronization modes and synaptic plasticity in a system of class I neurons.

机构信息

Center for Physical Sciences and Technology, 10257, Vilnius, Lithuania.

出版信息

Sci Rep. 2022 Nov 16;12(1):19631. doi: 10.1038/s41598-022-24001-2.

Abstract

We analyze the effect of spike-timing-dependent plasticity (STDP) on a system of pulse-coupled class I neurons. Our research begins with a system of two mutually connected quadratic integrate-and-fire (QIF) neurons, which are canonical representatives of class I neurons. Along with various asymptotic modes previously observed in other neuronal models with plastic synapses, we found a stable synchronous mode characterized by unidirectional link from a slower neuron to a faster neuron. In this frequency-locked mode, the faster neuron emits multiple spikes per cycle of the slower neuron. We analytically obtain the Arnold tongues for this mode without STDP and with STDP. We also consider larger plastic networks of QIF neurons and show that the detected mode can manifest itself in such a way that slow neurons become pacemakers. As a result, slow and fast neurons can form large synchronous clusters that generate low-frequency oscillations. We demonstrate the generality of the results obtained with two connected QIF neurons using Wang-Buzsáki and Morris-Lecar biophysically plausible class I neuron models.

摘要

我们分析了尖峰时间依赖性可塑性 (STDP) 对脉冲耦合 I 类神经元系统的影响。我们的研究始于一个由两个相互连接的二次积分-点火 (QIF) 神经元组成的系统,这是 I 类神经元的典型代表。除了在具有可塑性突触的其他神经元模型中以前观察到的各种渐近模式外,我们还发现了一种稳定的同步模式,其特征是从较慢的神经元到较快的神经元的单向连接。在这种频率锁定模式下,较快的神经元在较慢的神经元的一个周期内发出多个尖峰。我们在没有 STDP 和有 STDP 的情况下,对这种模式进行了分析,得到了 Arnold 舌。我们还考虑了更大的 QIF 神经元的可塑性网络,并表明检测到的模式可以以这样一种方式表现出来,即慢神经元成为起搏器。结果,慢和快神经元可以形成大的同步簇,产生低频振荡。我们使用两个连接的 QIF 神经元的 Wang-Buzsáki 和 Morris-Lecar 生物物理上合理的 I 类神经元模型来证明所得到的结果的普遍性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55f0/9668974/9878167dbf06/41598_2022_24001_Fig1_HTML.jpg

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