Spiking neurons can be implemented in hardware, for example, to model large neural systems, simulate real-time
behaviour, and interface bi-directionally between brains and machines. Circuit solutions used to implement silicon neuron
circuits depend on the application requirements. Various neuron circuits are presented in this thesis, including spike-event
generators (Axon Hillock neuron circuits), above-threshold neuron circuits (Quadratic Integrate and Fire neuron circuits), and
differential pair integrator circuits. Cadence's tool simulates these circuits using 180nm technology. Comparing these circuits is
based on their working properties and simulation results, and their features are demonstrated with experiments.
