Towards a virtual fly brain
Towards a virtual fly brain
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DOI：
10.1098/rsta.2008.0308
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发表时间：
2009-06-13
期刊：
影响因子：
5
通讯作者：
van Hemert, Jano I.
中科院分区：
文献类型：
--
作者：
Armstrong, J. Douglas;van Hemert, Jano I.
以生物学上合理的方式模拟感觉输入、行为输出和信息处理的大脑模型对计算机科学和生物学都提出了重大挑战。在这里，我们研究了可用于创建昆虫大脑模型的策略，特别是在实验室研究中广泛使用的果蝇大脑模型。问题的规模是一个数量级以上的最复杂的当前模拟项目，它进一步受到限制的相对稀疏的可用的电生理记录从苍蝇神经系统。然而，在解剖学和行为水平上的苍蝇大脑研究提供了一些有趣的机会，可以利用这些机会来创建功能模拟。我们建议利用果蝇中枢神经系统研究的这些优势，专注于一个功能模型，将生物学上合理的网络架构映射到神经元抑制和刺激研究的表型数据上，将个体神经元活动的生物物理模型留到未来的模型中，直到有更多的数据可用。
Models of the brain that simulate sensory input, behavioural output and information processing in a biologically plausible manner pose significant challenges to both computer science and biology. Here we investigated strategies that could be used to create a model of the insect brain, specifically that of Drosophila melanogaster that is very widely used in laboratory research. The scale of the problem is an order of magnitude above the most complex of the current simulation projects, and it is further constrained by the relative sparsity of available electrophysiological recordings from the fly nervous system. However fly brain research at the anatomical and behavioural levels offers some interesting opportunities that could be exploited to create a functional simulation. We propose to exploit these strengths of Drosophila central nervous system research to focus on a functional model that maps biologically plausible network architecture onto phenotypic data from neuronal inhibition and stimulation studies, leaving aside biophysical modelling of individual neuronal activity for future models until more data are available.