A Survey of Memristive Threshold Logic Circuits

Akshay Kumar Maan, Deepthi Anirudhan Jayadevi, Alex Pappachen James

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

In this paper, we review different memristive threshold logic (MTL) circuits that are inspired from the synaptic action of the flow of neurotransmitters in the biological brain. The brainlike generalization ability and the area minimization of these threshold logic circuits aim toward crossing Moore's 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 behavior from materials, such as TiO₂, ferroelectrics, silicon, and polymers, has accelerated research effort in these application areas, inspiring the scientific community to pursue the design of high-speed, low-cost, low-power, and high-density neuromorphic architectures.

Original languageEnglish
JournalIEEE Transactions on Neural Networks and Learning Systems
DOIs
Publication statusPublished - May 3 2016

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Threshold logic
Logic circuits
Ferroelectric materials
Pattern recognition
Brain
Signal processing
Image processing
Control systems
Data storage equipment
Silicon
Networks (circuits)
Polymers
Costs

Cite this

A Survey of Memristive Threshold Logic Circuits. / Maan, Akshay Kumar; Jayadevi, Deepthi Anirudhan; James, Alex Pappachen.

In: IEEE Transactions on Neural Networks and Learning Systems, 03.05.2016.

Research output: Contribution to journalArticle

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