Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse

NeurIPS 2019 Cornelius SchröderBen JamesLeon LagnadoPhilipp Berens

The inherent noise of neural systems makes it difficult to construct models which accurately capture experimental measurements of their activity. While much research has been done on how to efficiently model neural activity with descriptive models such as linear-nonlinear-models (LN), Bayesian inference for mechanistic models has received considerably less attention... (read more)

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