Neuromorphic Processing: A Unifying Tutorial

Abstract

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.

arXiv admin note: substantial text overlap with arXiv:2007.13941

References in corpus (2)

• Biologically Inspired Spiking Neurons : Piecewise Linear Models and Digital Implementation
• A Generalized Strong-Inversion CMOS Circuitry for Neuromorphic Applications