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基于 NEURON 编程语言 hoc 开发的软件进行 Hodgkin-Huxley 模型的教学和学习。

Teaching and learning the Hodgkin-Huxley model based on software developed in NEURON's programming language hoc.

机构信息

Departamento de Química y Biología, Universidad del Norte, Barranquilla, Atlántico, Colombia.

出版信息

BMC Med Educ. 2013 May 15;13:70. doi: 10.1186/1472-6920-13-70.

DOI:10.1186/1472-6920-13-70
PMID:23675833
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3685589/
Abstract

BACKGROUND

We present a software tool called SENB, which allows the geometric and biophysical neuronal properties in a simple computational model of a Hodgkin-Huxley (HH) axon to be changed. The aim of this work is to develop a didactic and easy-to-use computational tool in the NEURON simulation environment, which allows graphical visualization of both the passive and active conduction parameters and the geometric characteristics of a cylindrical axon with HH properties.

RESULTS

The SENB software offers several advantages for teaching and learning electrophysiology. First, SENB offers ease and flexibility in determining the number of stimuli. Second, SENB allows immediate and simultaneous visualization, in the same window and time frame, of the evolution of the electrophysiological variables. Third, SENB calculates parameters such as time and space constants, stimuli frequency, cellular area and volume, sodium and potassium equilibrium potentials, and propagation velocity of the action potentials. Furthermore, it allows the user to see all this information immediately in the main window. Finally, with just one click SENB can save an image of the main window as evidence.

CONCLUSIONS

The SENB software is didactic and versatile, and can be used to improve and facilitate the teaching and learning of the underlying mechanisms in the electrical activity of an axon using the biophysical properties of the squid giant axon.

摘要

背景

我们介绍了一个名为 SENB 的软件工具,它允许改变 Hodgkin-Huxley(HH)轴突简单计算模型中的几何和生物物理神经元特性。这项工作的目的是在 NEURON 模拟环境中开发一个教学和易于使用的计算工具,该工具允许对具有 HH 特性的圆柱形轴突的被动和主动传导参数以及几何特性进行图形可视化。

结果

SENB 软件为电生理学的教学和学习提供了几个优势。首先,SENB 提供了简便和灵活的确定刺激数量的方式。其次,SENB 允许在同一窗口和时间框架内即时和同时可视化电生理学变量的演变。第三,SENB 计算了时间和空间常数、刺激频率、细胞面积和体积、钠和钾平衡电位以及动作电位的传播速度等参数。此外,它允许用户立即在主窗口中查看所有这些信息。最后,只需点击一下,SENB 就可以保存主窗口的图像作为证据。

结论

SENB 软件具有教学和多功能性,可以用于使用鱿鱼巨大轴突的生物物理特性来改进和促进对轴突电活动的基本机制的教学和学习。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303a/3685589/1245af619e45/1472-6920-13-70-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303a/3685589/da50e04b368c/1472-6920-13-70-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303a/3685589/2f0e9e56d99a/1472-6920-13-70-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303a/3685589/993608977a6e/1472-6920-13-70-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303a/3685589/1245af619e45/1472-6920-13-70-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303a/3685589/da50e04b368c/1472-6920-13-70-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303a/3685589/2f0e9e56d99a/1472-6920-13-70-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303a/3685589/993608977a6e/1472-6920-13-70-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303a/3685589/1245af619e45/1472-6920-13-70-4.jpg

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本文引用的文献

1
Experimental methods in neuroscience: an undergraduate neuroscience laboratory course for teaching ethical issues, laboratory techniques, experimental design, and analysis.神经科学实验方法:一门面向本科生的神经科学实验室课程,用于教授伦理问题、实验技术、实验设计和分析。
J Undergrad Neurosci Educ. 2003 Fall;2(1):A1-7. Epub 2003 Oct 15.
2
Teaching basic principles of neuroscience with computer simulations.利用计算机模拟教授神经科学基本原理。
J Undergrad Neurosci Educ. 2006 Spring;4(2):A40-52. Epub 2006 Jun 15.
3
Using texts in science education: cognitive processes and knowledge representation.
在科学教育中使用文本:认知过程与知识表示。
Science. 2010 Apr 23;328(5977):453-6. doi: 10.1126/science.1182594.
4
NEURON and Python.神经元和 Python。
Front Neuroinform. 2009 Jan 28;3:1. doi: 10.3389/neuro.11.001.2009. eCollection 2009.
5
The effect of temperature on the electrical activity of the giant axon of the squid.温度对鱿鱼巨大轴突电活动的影响。
J Physiol. 1949 Aug;109(1-2):240-9. doi: 10.1113/jphysiol.1949.sp004388.
6
A quantitative description of membrane current and its application to conduction and excitation in nerve.膜电流的定量描述及其在神经传导和兴奋中的应用。
J Physiol. 1952 Aug;117(4):500-44. doi: 10.1113/jphysiol.1952.sp004764.
7
Expanding NEURON's repertoire of mechanisms with NMODL.利用NMODL扩展NEURON的机制库。
Neural Comput. 2000 May;12(5):995-1007. doi: 10.1162/089976600300015475.
8
Refractory period, conduction of trains of impulses, and effect of temperature on conduction in chronic hypertrophic neuropathy.难治期、冲动序列的传导以及温度对慢性肥厚性神经病变中传导的影响
J Neurol Neurosurg Psychiatry. 1977 May;40(5):434-47. doi: 10.1136/jnnp.40.5.434.