no code implementations • 10 Dec 2021 • Kai Segadlo, Bastian Epping, Alexander van Meegen, David Dahmen, Michael Krämer, Moritz Helias
Bayesian inference on Gaussian processes has proven to be a viable approach for studying recurrent and deep networks in the limit of infinite layer width, $n\to\infty$.
no code implementations • 4 Sep 2019 • Alexander van Meegen, Sacha J. van Albada
We develop a theory for self-consistent second-order single-neuron statistics in block-structured sparse random networks of spiking neurons.