  All systolic or distributed neuromorphic architectures require
power-efficient processing nodes. In this paper, a unifying tutorial is
presented which implements multiple neuromorphic processing elements using a
systematic analog approach including synapse, neuron and astrocyte models. It
is shown that the proposed approach can successfully synthesize
multidimensional dynamical systems into analog circuitry with minimum effort.

Neural and Evolutionary Computing