Bayesian approaches to statistical inference combine prior beliefs with observed data through a likelihood function to yield a posterior distribution, offering a coherent framework for uncertainty ...
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A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...
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