Memristive threshold logic networks

Irina Dolzhikova; Akshay Kumar Maan; Alex James Pappachen

doi:10.1007/978-3-030-14524-8_9

Memristive threshold logic networks

Irina Dolzhikova, Akshay Kumar Maan, Alex James Pappachen

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Threshold logic gates (TLGs) are known for high-speed and low power consumption, which is essential for applications such as real-time processing and recognition of natural signals, as well as on-chip memory architecture and neural network implementation. Integration of memristors into the design allows extending the capabilities of threshold logic circuits. In this chapter, we review the hardware designs of memristive threshold logic (MTL) circuits that are inspired by the principle of neuron firing inside the brain. Variety of threshold architectures, their limitations and possible field of application are discussed.

Original language	English
Title of host publication	Modeling and Optimization in Science and Technologies
Publisher	Springer Verlag
Pages	117-130
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-030-14524-8_9
Publication status	Published - Jan 1 2020

Publication series

Name	Modeling and Optimization in Science and Technologies
Volume	14
ISSN (Print)	2196-7326
ISSN (Electronic)	2196-7334

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ASJC Scopus subject areas

Modelling and Simulation
Medical Assisting and Transcription
Applied Mathematics

Cite this

Dolzhikova, I., Kumar Maan, A., & James Pappachen, A. (2020). Memristive threshold logic networks. In Modeling and Optimization in Science and Technologies (pp. 117-130). (Modeling and Optimization in Science and Technologies; Vol. 14). Springer Verlag. https://doi.org/10.1007/978-3-030-14524-8_9

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Access to Document

10.1007/978-3-030-14524-8_9