Update on Neural Net implimentation

I've been working on building a neural network with McCulloch and Pitts model neurons (MCP). Each neuron has a set of inputs, a set of weights associated with each input and a threshold. If the sum of the weight and the input when normalized is above the threshold of the neuron, that neuron is said to have fired.