The Neural Network Zoo - The Asimov Institute

A layer alone never has connections and in general two adjacent layers are fully connected (every neuron form one layer to every neuron to another layer). Radial basis function (RBF) networks are FFNNs with radial basis functions as activation functions. While not really a neural network, they do resemble neural networks and form the theoretical basis for BMs and HNs. They don't trigger-happily connect every neuron to every other neuron but only connect every different group of neurons to every other group, so no input neurons are directly connected to other input neurons and no hidden to hidden connections are made either.