• DocumentCode
    2456713
  • Title

    Memristors for energy-efficient, bioinspired processing

  • Author

    Georgiou, Julius ; Kyriakides, Evripides

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Cyprus, Nicosia, Cyprus
  • fYear
    2012
  • fDate
    14-17 Nov. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Although memristors have been around, both theoretically and physically for a long time, they have not really been exploited in today´s computational infrastructure. In this paper we demonstrate how a loosely memristive NiTi structure can be used to implement synaptic and other neural components that are required in the next generation of neuromorphic systems.
  • Keywords
    biomedical equipment; memristors; neurophysiology; nickel alloys; titanium alloys; bioinspired processing; energy-efficient processing; memristive NiTi structure; memristor; neural component; neural components; neuromorphic system; Crystals; Immune system; Memristors; Metals; Neurons; Resistance; Temperature; Bio-inspired computation; Memristors; Neuromorphic Engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4673-4682-5
  • Type

    conf

  • DOI
    10.1109/EEEI.2012.6377026
  • Filename
    6377026
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2456713