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Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans

机译:秀丽隐杆线虫抽提回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:我们提出了秀丽隐杆线虫(C. elegans),常见的round虫的神经回路的(非线性ODE)模型的概率可达性分析。特别是,我们考虑了抽头抽穗(TW),这是一种由秀丽隐杆线虫表现出的反射行为,它响应于振动其移动的表面。该反应背后的神经回路是本研究的主题。特别是,我们对Wicks等人的TW电路模型进行了时限可达性分析。 (1996)估计各种TW反应的可能性。威克斯等。该模型具有许多参数,并且我们证明了各种TW响应及其在蠕虫种群中的发生概率都可以视为参数不确定性的问题。我们针对此问题的方法在于将每个TW响应编码为具有参数不确定性的混合自动机。然后,我们将δ决策程序与统计测试相结合,对这些自动机进行概率可达性分析。我们获得的结果是Wicks等人的结果的重要扩展。 (1996年),他们为模型配备了固定参数值,可再现单个TW响应。相反,我们的技术使我们能够使用统计抽样理论更全面地探索模型参数空间,从而在过程中确定TW响应的分布。威克斯等。我们对一系列蠕虫进行了许多消融实验,这些蠕虫中TW回路中的一个或多个神经元已通过外科手术消融(切除)。我们证明了我们的技术可用于正确估计其中四个消融组的TW反应概率。我们还使用我们的技术来预测Wicks等人先前未考虑的两个消融组的TW反应行为。

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