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Memristors and Realising Neuromorphic ‘Brain-like’ Electronic Systems

Vast potential for industrial applications

A recent study by Professor Tony Kenyon and Dr Adnan Mehonic has demonstrated the feasibility of using a simple two-terminal memristor device to emulate the dynamic behaviour of the neuronal membrane. This is a crucial function in the realisation of neuromorphic systems. Neuromorphic electronic systems mimic biological systems such as neurons to address computing problems that cannot easily be solved using conventional digital computers. These systems have a vast potential for industrial applications such as image and sound processing, robotics, internet pattern recognition, fraud and crime detection, and counter-intelligence.

Further Reading:


    1. Emulating the electrical activity of the neuron using a silicon oxide RRAM cell, by Adan Mehonic, Anthony Kenyon, Front. Neuroscience. Feb 2016, 10:57. doi: 10.3389/fnins.2016.00057
    2. Conductance tomography of conductive filaments in intrinsic silicon-rich silica RRAM, by Mark Buckwell,* Luca Montesi, Stephen Hudziak, Adnan Mehonic and Anthony J. Kenyon* Nanoscale, The Royal Society of Chemistry Feb 2015 Nanoscale
    3. Resistive switching in silicon suboxide films,, Adnan Mehonic, Sebastien Cueff, Maciej Wojdak, Stephen Hudziak, Olivier Jambois, Christophe Labbe, Blas Garrido, Richard Rizk, and Anthony J. Kenyon, UCL United Kingdom, CIMAP, UMR CNRS 6252 ENSICAEN, France and MIND-IN2UB, Universitat de Barcelona, Barcelona, CAT, Spain
    4. Three-Dimensional Observation of the Conductive Filament in Nanoscaled Resistive Memory Devices, U. Celano, L. Goux, A. Belmonte, K. Opsomer, A. Franquet, A. Schulze, C. Detavernier, O. Richard, H. Bender, M. Jurczak and W. Vandervorst, Nano Letters., 2014, 14, 2401– 2406.