Combines the ideas of Kolmogorow Arnold Network and deep gaussian process networks. Uncertainty propagation across neurons is done via inner product of the input distribution with a function sampled from the neuron's GP, producing a Gaussian output.
Simulations contain a demo on verifying the calculations of a neuron's output, and a demo using a simple model composed of these neurons for MNIST classification