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Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans

机译:Caenorhabditis elegans的挖掘提取电路的概率可达性分析

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We present a probabilistic reachability analysis of a (nonlinear ODE) model of a neural circuit in Caeorhabditis elegans (C. elegans), the common roundworm. In particular, we consider Tap Withdrawal (TW), a reflexive behavior exhibited by a C. elegans worm in response to vibrating the surface on which it is moving. The neural circuit underlying this response is the subject of this investigation. Specially, we perform bounded-time reachability analysis on the TW circuit model of Wicks et al. (1996) to estimate the probability of various TW responses. The Wicks et al. model has a number of parameters, and we demonstrate that the various TW responses and their probability of occurrence in a population of worms can be viewed as a problem of parameter uncertainty. Our approach to this problem rests on encoding each TW response as a hybrid automaton with parametric uncertainty. We then perform probabilistic reachability analysis on these automata using a technique that combines a δ-decision procedure with statistical tests. The results we obtain are a significant extension of those of Wicks et al. (1996), who equip their model with fixed parameter values that reproduce a single TW response. In contrast, our technique allow us to more thoroughly explore the models parameter space using statistical sampling theory, identifying in the process the distribution of TW responses. Wicks et al. conducted a number of ablation experiments on a population of worms in which one or more of the neurons in the TW circuit are surgically ablated (removed). We show that our technique can be used to correctly estimate TW response-probabilities for four of these ablation groups. We also use our technique to predict TW response behavior for two ablation groups not previously considered by Wicks et al.
机译:我们呈现了嗜睡杆菌(C.秀丽隐杆线虫)神经循环的(非线性ode)模型的概率可达性分析,普通蛔虫。特别是,我们考虑点击撤回(TW),C.杆状杆虫蜗杆展出的反射行为是响应于振动其移动的表面。这种反应的神经电路是本研究的主题。特别是,我们对WICKS等人的TW电路模型进行界限时间可达性分析。 (1996)估计各种TW响应的可能性。威克斯等人。模型具有许多参数,我们证明各种TW响应及其在蠕虫群体中发生的可能性可以被视为参数不确定性的问题。我们对此问题的方法依赖于将每个TW的响应作为混合自动化进行编码,具有参数不确定性。然后,我们使用将Δ决定程序与统计测试结合的技术对这些自动机进行概率可达性分析。我们获得的结果是Wicks等人的重要延伸。 (1996),谁用固定的参数值装备其模型,其重现单个TW响应。相比之下,我们的技术允许我们使用统计采样理论更彻底地探索模型参数空间,在过程中识别TW响应的分布。威克斯等人。对蠕虫的群体进行了许多消融实验,其中TW电路中的一个或多个神经元在外科烧蚀(除去)。我们表明我们的技术可用于正确估计四个烧蚀组的响应概率。我们还使用我们的技术来预测以前未考虑的两个消融组的TW响应行为。

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