An Expectation-Propagation framework trains spiking neural networks with mini-batches, supporting discrete or continuous weights and deterministic or stochastic spiking, and returns approximate posterior uncertainties.
Expectation propagation in linear regression models with spike-and- slab priors,
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Training of Spiking Neural Networks with Expectation-Propagation
An Expectation-Propagation framework trains spiking neural networks with mini-batches, supporting discrete or continuous weights and deterministic or stochastic spiking, and returns approximate posterior uncertainties.