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首页> 外文期刊>Journal of Computational Neuroscience >Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methods
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Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methods

机译：通过顺序蒙特卡洛方法推断给定电压噪声轨迹的突触输入

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摘要

We discuss methods for optimally inferring the synaptic inputs to an electrotonically compact neuron, given intracellular voltage-clamp or current-clamp recordings from the postsynaptic cell. These methods are based on sequential Monte Carlo techniques ("particle filtering"). We demonstrate, on model data, that these methods can recover the time course of excitatory and inhibitory synaptic inputs accurately on a single trial. Depending on the observation noise level, no averaging over multiple trials may be required. However, excitatory inputs are consistently inferred more accurately than inhibitory inputs at physiological resting potentials, due to the stronger driving force associated with excitatory conductances. Once these synaptic input time courses are recovered, it becomes possible to fit (via tractable convex optimization techniques) models describing the relationship between the sensory stimulus and the observed synaptic input. We develop both parametric and nonparametric expectation-maximization (EM) algorithms that consist of alternating iterations between these synaptic recovery and model estimation steps. We employ a fast, robust convex optimization-based method to effectively initialize the filter; these fast methods may be of independent interest. The proposed methods could be applied to better understand the balance between excitation and inhibition in sensory processing in vivo.
机译：我们讨论了最佳地推断突触输入到电致密神经元的方法，给定了来自突触后细胞的细胞内电压钳或电流钳记录。这些方法基于顺序蒙特卡罗技术（“粒子滤波”）。我们在模型数据上证明，这些方法可以在单个试验中准确地恢复兴奋性和抑制性突触输入的时间过程。根据观察噪声水平，可能不需要对多个试验求平均值。然而，由于与兴奋性传导相关的更强的驱动力，在生理静息电位下，与抑制性输入相比，始终可以更准确地推断出兴奋性输入。一旦恢复了这些突触输入的时间过程，就可以拟合（通过可控凸优化技术）描述感觉刺激与观察到的突触输入之间关系的模型。我们开发参数和非参数期望最大化（EM）算法，这些算法由这些突触恢复和模型估计步骤之间的交替迭代组成。我们采用快速，鲁棒的基于凸优化的方法来有效地初始化滤波器。这些快速方法可能具有独立利益。所提出的方法可用于更好地理解体内感官加工过程中激发与抑制之间的平衡。

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