A Survey of Memristive Threshold Logic Circuits

TL;DR

This survey reviews memristive threshold logic circuits inspired by biological synapses, highlighting their potential for brain-like computation, area efficiency, and applications in neuromorphic systems.

Contribution

It provides a comprehensive overview of memristive threshold logic circuits, their physical realizations, and potential applications in neuromorphic computing.

Findings

Memristive threshold logic circuits mimic biological synapses.

Potential for high-speed, low-cost neuromorphic architectures.

Applications include memory, signal processing, and pattern recognition.

Abstract

In this paper, we review the different memristive threshold logic (MTL) circuits that are inspired from the synaptic action of flow of neurotransmitters in the biological brain. Brain like generalisation ability and area minimisation of these threshold logic circuits aim towards crossing the Moores law boundaries at device, circuits and systems levels.Fast switching memory, signal processing, control systems, programmable logic, image processing, reconfigurable computing, and pattern recognition are identified as some of the potential applications of MTL systems. The physical realization of nanoscale devices with memristive behaviour from materials like TiO2, ferroelectrics, silicon, and polymers has accelerated research effort in these application areas inspiring the scientific community to pursue design of high speed, low cost, low power and high density neuromorphic architectures.