Artificial neuron

Artificial neurons (also called McCulloch-Pitts neurons) are simple processing units based on the biological neurons. They can get connected to form artificial neural networks.

Behavior

Input signals are multiplied by values called weights producing a new value called activation. After the activation is produced, it gets filtered if the input doesn't exceed a value called threshold.

The threshold value can be determined by a step function, a sigmoid and other methods.