ABSTRACT
This chapter first describes the basic structure of a single neural unit, briefly relating it to the general notion of a neural network. The interior workings of simple artificial neurons—especially the discrete-time McCulloch-Pitts neuron and continuous-time leaky integrator neuron—are then presented, including the general properties of threshold functions and activation functions. Finally, we briefly note that there are many alternative neuron models available.
