Neuromorphic Processing: A Unifying Tutorial

TL;DR

This paper provides a comprehensive tutorial on neuromorphic processing, demonstrating how to systematically implement various neuromorphic elements using analog circuitry for power-efficient processing.

Contribution

It introduces a unified analog approach to synthesize diverse neuromorphic processing elements, simplifying the design of power-efficient neuromorphic architectures.

Findings

Successful synthesis of multidimensional dynamical systems into analog circuitry

Demonstration of systematic implementation of synapse, neuron, and astrocyte models

Potential for power-efficient neuromorphic processing architectures

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.