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秀丽隐杆线虫趋化性与联想学习的模型。

A model of chemotaxis and associative learning in C. elegans.

作者信息

Appleby Peter A

机构信息

Kroto Research Institute, University of Sheffield, Sheffield, UK.

出版信息

Biol Cybern. 2012 Sep;106(6-7):373-87. doi: 10.1007/s00422-012-0504-8. Epub 2012 Jul 24.

Abstract

The nematode C. elegans has attracted a great deal of interest from the neuroscience community due to the simplicity of its nervous system, which in the hermaphrodite is composed of just 302 neurons. C. elegans is known to engage in a number of sophisticated behaviours such as chemo- and thermotaxis. Experimental work has shown that these behaviours can be modified by experience and that C. elegans is capable of associative learning. In this paper, we focus on the chemotactic response of C. elegans to sodium chloride mediated by the ASE sensory neurons. We construct a biophysical model of the ASEL and ASER neurons that captures the time course of the ASE responses in response to up- and down-steps in NaCl concentration. We use this model to show that the time course of the ASE responses provide sufficient temporal resolution to successfully drive chemotaxis in C. elegans via steering, pirouettes and control of final turn angle. We show that these different locomotion strategies are individually capable of driving chemotaxis and that by working together they produce the best chemotactic response. We find that there is a separation into upward and downward drives mediated by the left and right ASE neurons. We show that the connectivity from ASEL and ASER must be of opposite polarity and that ASER, and the concomitant ability to sense when the worm is moving down the gradient, is more important for chemotaxis than ASEL, findings that are consistent with existing modelling studies in the literature. Finally, we examine associative learning in the network and show that experimental data can be explained by changes that occur at either the synaptic or sensory neuron level, the choice of which has distinct consequences for network function.

摘要

线虫秀丽隐杆线虫因其神经系统的简单性而引起了神经科学界的极大兴趣,在雌雄同体中,其神经系统仅由302个神经元组成。已知秀丽隐杆线虫会表现出多种复杂行为,如趋化性和趋温性。实验工作表明,这些行为可以通过经验进行改变,并且秀丽隐杆线虫具有联想学习能力。在本文中,我们重点研究了由ASE感觉神经元介导的秀丽隐杆线虫对氯化钠的趋化反应。我们构建了ASEL和ASER神经元的生物物理模型,该模型捕捉了ASE对NaCl浓度上升和下降步骤的反应的时间进程。我们使用这个模型来表明,ASE反应的时间进程提供了足够的时间分辨率,以通过转向、旋转和最终转向角度的控制成功驱动秀丽隐杆线虫的趋化作用。我们表明,这些不同的运动策略各自都能够驱动趋化作用,并且通过共同作用,它们产生了最佳的趋化反应。我们发现,由左右ASE神经元介导的向上和向下驱动存在分离。我们表明,来自ASEL和ASER的连接性必须具有相反的极性,并且ASER以及感知线虫何时沿梯度向下移动的伴随能力,对于趋化作用比ASEL更重要,这些发现与文献中现有的建模研究一致。最后,我们研究了网络中的联想学习,并表明实验数据可以通过突触或感觉神经元水平发生的变化来解释,选择哪一个对网络功能有不同的影响。

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