从霍奇金-赫胥黎神经元电压估计内部变量

2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2013-11-01 DOI:10.1109/NER.2013.6695905

A. Sinha, S. Schiff, Niklas Huebel

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引用次数: 5

摘要

本文提出了一种新的方法来估计内部变量，如门控变量，钾，钠和氯化物的浓度从一个神经元的电压的知识。该方法基于霍奇金-赫胥黎神经元动力学和Luenberger观测器背后的基本思想，并利用了完全的非线性动力学。给出了数值模拟结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Estimation of internal variables from Hodgkin-Huxley neuron voltage

This paper presents a novel approach to estimate internal variables such as gating variables, potassium, sodium and chloride concentrations from the knowledge of voltage of a neuron. This approach is based on the Hodgkin-Huxley neuron dynamics and basic ideas behind a Luenberger observer, and utilizes the full nonlinear dynamics. Results from numerical simulations are presented.

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2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)

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