Ghori Muhammad Bilal, Kang Yanmei, Chen Yaqian
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China.
J Comput Neurosci. 2022 May;50(2):217-240. doi: 10.1007/s10827-021-00808-2. Epub 2022 Jan 13.
In vitro studies have shown that hippocampal pyramidal neurons employ a mechanism similar to stochastic resonance (SR) to enhance the detection and transmission of weak stimuli generated at distal synapses. To support the experimental findings from the perspective of multicompartment model analysis, this paper aimed to elucidate the phenomenon of SR in a noisy two-compartment hippocampal pyramidal neuron model, which was a variant of the Pinsky-Rinzel neuron model with smooth activation functions and a hyperpolarization-activated cation current. With a bifurcation analysis of the model, we demonstrated the underlying dynamical structure responsible for the occurrence of SR. Furthermore, using a stochastically generated biphasic pulse train and broadband noise generated by the Orenstein-Uhlenbeck process as noise perturbation, both SR and suprathreshold SR were observed and quantified. Spectral analysis revealed that the distribution of spectral power under noise perturbations, in addition to inherent neurodynamics, is the main factor affecting SR behavior. The research results suggested that noise enhances the transmission of weak stimuli associated with elongated dendritic structures of hippocampal pyramidal neurons, thereby providing support for related laboratory findings.
体外研究表明,海马体锥体细胞采用一种类似于随机共振(SR)的机制,以增强对远端突触产生的微弱刺激的检测和传递。为了从多房室模型分析的角度支持实验结果,本文旨在阐明在一个有噪声的双房室海马体锥体细胞模型中的随机共振现象,该模型是具有平滑激活函数和超极化激活阳离子电流的平斯基 - 林泽尔神经元模型的一个变体。通过对该模型的分岔分析,我们证明了导致随机共振发生的潜在动力学结构。此外,使用随机生成的双相脉冲序列和由奥恩斯坦 - 乌伦贝克过程产生的宽带噪声作为噪声扰动,观察并量化了随机共振和阈上随机共振。频谱分析表明,除了固有的神经动力学外,噪声扰动下的频谱功率分布是影响随机共振行为的主要因素。研究结果表明,噪声增强了与海马体锥体细胞细长树突结构相关的微弱刺激的传递,从而为相关实验室研究结果提供了支持。