A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

Y. van de Burgt, E. Lubberman, E.J. Fuller, S.T. Keene, G.C. Faria, S. Agarwal, M.J. Marinella, A.A. Talin, A. Salleo

Research output: Contribution to journalArticleAcademicpeer-review

361 Citations (Scopus)
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Abstract

The brain is capable of massively parallel information processing while consuming only ~1–100 fJ per synaptic event1, 2. Inspired by the efficiency of the brain, CMOS-based neural architectures3 and memristors4, 5 are being developed for pattern recognition and machine learning. However, the volatility, design complexity and high supply voltages for CMOS architectures, and the stochastic and energy-costly switching of memristors complicate the path to achieve the interconnectivity, information density, and energy efficiency of the brain using either approach. Here we describe an electrochemical neuromorphic organic device (ENODe) operating with a fundamentally different mechanism from existing memristors. ENODe switches at low voltage and energy (<10 pJ for 103 μm2 devices), displays >500 distinct, non-volatile conductance states within a ~1 V range, and achieves high classification accuracy when implemented in neural network simulations. Plastic ENODes are also fabricated on flexible substrates enabling the integration of neuromorphic functionality in stretchable electronic systems6, 7. Mechanical flexibility makes ENODes compatible with three-dimensional architectures, opening a path towards extreme interconnectivity comparable to the human brain.
Original languageEnglish
Pages (from-to)414-418
Number of pages5
JournalNature Materials
Volume16
Issue number4
Early online date20 Feb 2017
DOIs
Publication statusPublished - 1 Apr 2017

Keywords

  • Brain
  • Computers, Molecular
  • Electrochemical Techniques
  • Humans
  • Nerve Net

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  • Press / Media

    Artificial synapse for neural networks

    Y.B. van de Burgt

    20/02/1727/02/17

    5 items of Media coverage

    Press/Media: Expert Comment

    Artificial Synapse for Neural Networks

    Y.B. van de Burgt

    22/02/1724/02/17

    3 items of Media coverage

    Press/Media: Expert Comment

    Cite this

    van de Burgt, Y., Lubberman, E., Fuller, E. J., Keene, S. T., Faria, G. C., Agarwal, S., Marinella, M. J., Talin, A. A., & Salleo, A. (2017). A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing. Nature Materials, 16(4), 414-418. https://doi.org/10.1038/nmat4856