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

Cornelius Schröder, Ben James, Leon Lagnado, Philipp Berens

Neural Information Processing Systems 

Here, we develop an approximate Bayesian inference scheme for a fully stochastic, biophysically inspired model of glutamate release at the ribbon synapse, a highly specialized synapse found in different sensory systems. The model translates known structural features of the ribbon synapse into a set of stochastically coupled equations.

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