在逼真的 CA1 神经元模型中实现海马同步

Alessandro Fiasconaro, Michele Migliore
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引用次数: 0

摘要

这项研究利用霍奇金-赫胥黎动力学深入研究了两个现实神经元模型中的同步问题。与简单的点状模型不同,这里的兴奋性突触沿树突随机分布,在信号传播中引入了强烈的随机贡献。为了重点研究不同兴奋位置的作用,我们使用了同一神经元的两个拷贝,它们的突触与体部的距离不同,并暴露在相同的泊松分布电流脉冲下。我们通过一个特别定义的尖峰相关函数来研究这种同步性,并将其行为作为几个参数的函数进行分析:抑制权重、一个突触组距神经元体的距离、兴奋失活延迟和兴奋突触权重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hippocampal synchronization in a realistic CA1 neuron model
This work delves into studying the synchronization in two realistic neuron models using Hodgkin-Huxley dynamics. Unlike simplistic point-like models, excitatory synapses are here randomly distributed along the dendrites, introducing strong stochastic contributions into their signal propagation. To focus on the role of different excitatory positions, we use two copies of the same neuron whose synapses are located at different distances from the soma and are exposed to identical Poissonian distributed current pulses. The synchronization is investigated through a specifically defined spiking correlation function, and its behavior is analyzed as a function of several parameters: inhibition weight, distance from the soma of one synaptic group, excitatory inactivation delay, and weight of the excitatory synapses.
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