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通道电流波动明确地解释了神经元将内部电势编码为尖峰序列的过程。

Channel current fluctuations conclusively explain neuronal encoding of internal potential into spike trains.

机构信息

RISE Research Institutes of Sweden, POB 1263, SE-164 29 Kista, Sweden.

Department of Experimental Medical Science, Lund University, SE-221 00 Lund, Sweden.

出版信息

Phys Rev E. 2021 Feb;103(2-1):022407. doi: 10.1103/PhysRevE.103.022407.

Abstract

Hodgkin and Huxley's seminal neuron model describes the propagation of voltage spikes in axons, but it cannot explain certain full-neuron features crucial for understanding the neural code. We consider channel current fluctuations in a trisection of the Hodgkin-Huxley model, allowing an analytic-mechanistic explanation of these features and yielding consistently excellent matches with in vivo recordings of cerebellar Purkinje neurons, which we use as model systems. This shows that the neuronal encoding is described conclusively by a soft-thresholding function having just three parameters.

摘要

霍奇金和赫胥黎的开创性神经元模型描述了轴突中电压尖峰的传播,但它无法解释某些对于理解神经编码至关重要的全神经元特征。我们考虑了 Hodgkin-Huxley 模型三分段中的通道电流波动,从而可以对这些特征进行分析-机制解释,并与小脑浦肯野神经元的体内记录产生始终如一的出色匹配,我们将其用作模型系统。这表明神经元编码由仅具有三个参数的软阈值函数明确描述。

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