Giving an infinite number of units plus a prior over weights and a Bayesian interpretation altogether turns Neural Networks to Gaussian Processes (GPs).
hTER scores Y are represented as a sample from a multivariate Gaussian distribution from input X as Y ∼ N (0, K(X, X).