A Survey of Memristive Threshold Logic Circuits

作者：Maan Akshay Kumar; Jayadevi Deepthi Anirudhan; James Alex Pappachen^*

来源：IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(8): 1734-1746.

DOI：10.1109/TNNLS.2016.2547842

• Memristors
• neural circuits
• neurocomputing
• threshold logic (TL)

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.

• 出版日期2017-8