McCulloch–Pitts Neural Network Model

The McCulloch–Pitt neural network is considered to be the first neural network. The neurons are connected by directed weighted paths. McCulloch–Pitt neuron allows binary activation (1 ON or 0 OFF), i.e., it either fires with an activation 1 or does not fire with an activation of 0. If w > 0, then the connected path is said to be excitatory else it is known as inhibitory. Excitatory connections have positive weights and inhibitory connections have negative weights. Each neuron has a fixed threshold for firing. That is, if the net input to the neuron is greater than the threshold, it fires. Different Matlab Programs have been done to generate output of various logical function using McCulloch-Pitt neural network algorithm.