Early Neural Nets: Perceptrons
A perceptron models a neuron by taking a weighted sum of its inputs and sending the output 1 if the sum is greater than some adjustable threshold value.
Inputs and connection weights are typically real valued; feature xi causes the perceptron to fire if weight wi is positive; xi inhibits firing if wi is negative.