Suppr超能文献

神经活动扩散模型中的突触传递。

Synaptic transmission in a diffusion model for neural activity.

作者信息

Lánská V, Lánský P, Smith C E

机构信息

Department of Statistics, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.

出版信息

J Theor Biol. 1994 Feb 21;166(4):393-406. doi: 10.1006/jtbi.1994.1035.

Abstract

Equations for a diffusion neuronal model describing the production of nerve impulses have been derived for the case in which the noisy depolarizations of the membrane potential are restricted by the reversal potentials. Identifying neuron firing intervals with the first-passage-time distribution for the associated process allows us to compute the interspike interval statistics and relate them to the parameters characterizing the neuronal input. Methods for approximation of the first two moments of the interspike intervals are proposed. The analytical results are numerically illustrated and simultaneous computer simulations were performed for the same purpose. A comparison of the achieved results is made with those from other diffusion models or the models with discontinuous trajectories. The model is proposed mainly as an alternative to the Ornstein-Uhlenbeck neuronal model.

摘要

针对膜电位的噪声去极化受反转电位限制的情况,推导了描述神经冲动产生的扩散神经元模型的方程。将神经元放电间隔与相关过程的首次通过时间分布进行识别,使我们能够计算峰间期统计量,并将它们与表征神经元输入的参数联系起来。提出了近似峰间期前两个矩的方法。对分析结果进行了数值说明,并出于相同目的进行了同步计算机模拟。将所取得的结果与其他扩散模型或具有不连续轨迹的模型的结果进行了比较。该模型主要作为奥恩斯坦 - 乌伦贝克神经元模型的替代方案而提出。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验