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On the Modeling of the Three Types of Non-spiking Neurons of the Caenorhabditis elegans
International Journal of Neural Systems ( IF 6.6 ) Pub Date : 2020-08-14 , DOI: 10.1142/s012906572050063x
Loïs Naudin 1 , Nathalie Corson 1 , M A Aziz-Alaoui 1 , Juan Luis Jiménez Laredo 2 , Thibaut Démare 2
Affiliation  

The nematode Caenorhabditis elegans (C. elegans) is a well-known model organism in neuroscience. The relative simplicity of its nervous system, made up of few hundred neurons, shares some essential features with more sophisticated nervous systems, including the human one. If we are able to fully characterize the nervous system of this organism, we will be one step closer to understanding the mechanisms underlying the behavior of living things. Following a recently conducted electrophysiological survey on different C. elegans neurons, this paper aims at modeling the three non-spiking RIM, AIY and AFD neurons (arbitrarily named with three upper case letters by convention). To date, they represent the three possible forms of non-spiking neuronal responses of the C. elegans. To achieve this objective, we propose a conductance-based neuron model adapted to the electrophysiological features of each neuron. These features are based on current biological research and a series of in-silico experiments which use differential evolution to fit the model to experimental data. From the obtained results, we formulate a series of biological hypotheses regarding currents involved in the neuron dynamics. These models reproduce experimental data with a high degree of accuracy while being biologically consistent with state-of-the-art research.

中文翻译:

秀丽隐杆线虫三种非尖峰神经元的建模

线虫秀丽隐杆线虫 (C. elegans) 是神经科学中众所周知的模式生物。它的神经系统相对简单,由几百个神经元组成,与包括人类在内的更复杂的神经系统具有一些基本特征。如果我们能够充分描述这种有机体的神经系统,我们将离理解生物行为背后的机制更近一步。在最近对不同的秀丽隐杆线虫神经元进行的电生理调查之后,本文旨在对三个非尖峰 RIM、AIY 和 AFD 神经元(按照惯例用三个大写字母任意命名)进行建模。迄今为止,它们代表了秀丽隐杆线虫的三种可能的非尖峰神经元反应形式。为了实现这一目标,我们提出了一种基于电导的神经元模型,该模型适用于每个神经元的电生理特征。这些特征基于当前的生物学研究和一系列计算机实验,这些实验使用差异进化将模型拟合到实验数据。根据获得的结果,我们制定了一系列关于神经元动力学中涉及的电流的生物学假设。这些模型以高度的准确性再现实验数据,同时在生物学上与最先进的研究相一致。我们制定了一系列关于神经元动力学中涉及的电流的生物学假设。这些模型以高度的准确性再现实验数据,同时在生物学上与最先进的研究相一致。我们制定了一系列关于神经元动力学中涉及的电流的生物学假设。这些模型以高度的准确性再现实验数据,同时在生物学上与最先进的研究相一致。
更新日期:2020-08-14
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