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Reversible optical switching memristors with tunable STDP synaptic plasticity: a route to hierarchical control in artificial intelligent systems

Jaafar, Ayoub H.; Gray, Robert J.; Verrelli, Emanuele; O'Neill, Mary; Kelly, Stephen. M.; Kemp, Neil T.

Authors

Ayoub H. Jaafar

Robert J. Gray

Mary O'Neill

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Dr Neil Kemp N.Kemp@hull.ac.uk
Director of Postgraduate Researchers (Physics and Mathematics), Senior Lecturer in Physics



Abstract

© 2017 The Royal Society of Chemistry. Optical control of memristors opens the route to new applications in optoelectronic switching and neuromorphic computing. Motivated by the need for reversible and latched optical switching we report on the development of a memristor with electronic properties tunable and switchable by wavelength and polarization specific light. The device consists of an optically active azobenzene polymer, poly(disperse red 1 acrylate), overlaying a forest of vertically aligned ZnO nanorods. Illumination induces trans-cis isomerization of the azobenzene molecules, which expands or contracts the polymer layer and alters the resistance of the off/on states, their ratio and retention time. The reversible optical effect enables dynamic control of a memristor's learning properties including control of synaptic potentiation and depression, optical switching between short-term and long-term memory and optical modulation of the synaptic efficacy via spike timing dependent plasticity. The work opens the route to the dynamic patterning of memristor networks both spatially and temporally by light, thus allowing the development of new optically reconfigurable neural networks and adaptive electronic circuits.

Journal Article Type Article
Publication Date Nov 21, 2017
Journal Nanoscale
Print ISSN 2040-3364
Electronic ISSN 2040-3372
Publisher Royal Society of Chemistry
Peer Reviewed Peer Reviewed
Volume 9
Issue 43
Pages 17091-17098
APA6 Citation Jaafar, A. H., Gray, R. J., Verrelli, E., O'Neill, M., Kelly, S. M., & Kemp, N. T. (2017). Reversible optical switching memristors with tunable STDP synaptic plasticity: a route to hierarchical control in artificial intelligent systems. Nanoscale, 9(43), 17091-17098. https://doi.org/10.1039/c7nr06138b
DOI https://doi.org/10.1039/c7nr06138b
Keywords Memristor; Optical; ZnO nanorod; Azobenzene; Resistive memory; Synaptic plasticity
Publisher URL http://pubs.rsc.org/en/Content/ArticleLanding/2017/NR/C7NR06138B#!divAbstract
Additional Information This is the accepted manuscript of an article published in Nanoscale, 2017. The version of record is available at the DOI link in this record.:

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