Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals

Christian Holberg, Cristopher Salvi

We introduce a mathematically rigorous framework based on rough path theory to model stochastic spiking neural networks (SSNNs) as stochastic differential equations with event disc…