A neural network model of Caenorhabditis elegans: The circuit of touch sensitivity

A neural network model of Caenorhabditis elegans: The circuit of touch sensitivity
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DOI:
10.1023/a:1009615807222
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发表时间:
1997-12-01
影响因子:
3.1
通讯作者:
Parisi, D
Parisi, D
中科院分区:
计算机科学4区
文献类型:
--
作者:
Cangelosi, A;Parisi, D

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提出了一种秀丽隐杆线虫触敏电路的神经网络模型。我们描述了一系列的模拟,其中神经网络的训练,使用遗传算法,再现线虫的触摸敏感行为的习惯。对网络的损伤研究允许在模型的精细功能和在真实的生物体中收集的数据之间进行直接比较。该模型符合已知的神经生物学数据,它提出了一些关于神经回路和单个神经元的功能的假设。
The paper presents a neural network model of the touch sensitivity circuit of the nematode Caenorhabditis elegans. We describe a serie of simulations in which neural networks are trained, using a genetic algorithm, to reproduce the habituation of the nematode's touch sensitive behavior. A lesion study of the network allows to make a direct comparison between the fine functioning of the model and the data collected in real organisms. The model accords well with the known neurobiological data and it suggests some hypotheses about the functioning of the neural circuit and of single neurons.