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Challenges hindering memristive neuromorphic hardware from going mainstream

Author

Listed:
  • Gina C. Adam

    (George Washington University)

  • Ali Khiat

    (University of Southampton)

  • Themis Prodromakis

    (University of Southampton)

Abstract

Memristive devices have elicited intense research in the past decade thanks to their inherent low voltage operation, multi-bit storage and cost-effective manufacturability. Nonetheless, several outstanding performance and manufacturability challenges have prevented the widespread industry adoption of redox-based memristive matrices. Here, we discuss these challenges in terms of key metrics and propose a roadmap towards realizing competitive memristive-based neuromorphic processing systems.

Suggested Citation

  • Gina C. Adam & Ali Khiat & Themis Prodromakis, 2018. "Challenges hindering memristive neuromorphic hardware from going mainstream," Nature Communications, Nature, vol. 9(1), pages 1-4, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07565-4
    DOI: 10.1038/s41467-018-07565-4
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    Cited by:

    1. Peng Chen & Fenghao Liu & Peng Lin & Peihong Li & Yu Xiao & Bihua Zhang & Gang Pan, 2023. "Open-loop analog programmable electrochemical memory array," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Panin, Gennady N., 2021. "Optoelectronic dynamic memristor systems based on two-dimensional crystals," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    3. Gerasimova, S.A. & Lebedeva, A.V. & Fedulina, A. & Koryazhkina, M. & Belov, A.I. & Mishchenko, M.A. & Matveeva, M. & Guseinov, D. & Mikhaylov, A.N. & Kazantsev, V.B. & Pisarchik, A.N., 2021. "A neurohybrid memristive system for adaptive stimulation of hippocampus," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).

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