Associative Memory Function Found on Phase-Change Nanoscale Device

Author(s): Lei Wang, Si-Di Gong, Ci-Hui Yang, Yuan-Xiu Peng, Shan Gai.

Journal Name: Current Nanoscience

Volume 11 , Issue 6 , 2015

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Graphical Abstract:


Associative memory, considered as the ability to link unrelated objects, is the most appealing behaviour found in both biological and artificial neural networks. Here we for the first time proposed a three terminal phase-change based nanoscale device where associative memory can be theoretically achieved according to the developed electro-thermal model. Compared with the conventional neural networks circuit, the designed device allows for an exemption from a large number of circuit elements, and thus exhibits an exciting potential for ultra-high integration density and super-fast response speed. The simulation results opens up a novel route to imitate the complex mechanism of the biological neural networks, thus rendering phase-change materials a promising contender for the key components in next-generation neuromorphic system.

Keywords: Associative memory, model, neural, phase-change.

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Article Details

Year: 2015
Page: [797 - 804]
Pages: 8
DOI: 10.2174/1573413711666150528235637
Price: $65

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