  It has always been a challenge in the neuromorphic field to systematically
translate biological models into analog electronic circuitry. In this paper, a
generalized circuit design platform is introduced where biological models can
be conveniently implemented using CMOS circuitry operating in strong-inversion.
The application of the method is demonstrated by synthesizing a relatively
complex two-dimensional (2-D) nonlinear neuron model. The validity of our
approach is verified by nominal simulated results with realistic process
parameters from the commercially available AMS 0.35 um technology. The circuit
simulation results exhibit regular spiking responses in good agreement with
their mathematical counterpart.
