• DocumentCode
    3565208
  • Title

    3D synaptic architecture with ultralow sub-10 fJ energy per spike for neuromorphic computation

  • Author

    I-Ting Wang ; Yen-Chuan Lin ; Yu-Fen Wang ; Chung-Wei Hsu ; Tuo-Hung Hou

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2014
  • Abstract
    A high-density 3D synaptic architecture based on self-rectifying Ta/TaOx/TiO2/Ti RRAM is proposed as an energy- and cost-efficient neuromorphic computation hardware. The device shows excellent analog synaptic features that can be accurately described by the physical and compact models. Ultra-low energy consumption comparable to that of a biological synapse (<;10 fJ/spike) has been demonstrated for the first time.
  • Keywords
    low-power electronics; resistive RAM; tantalum; tantalum compounds; titanium; titanium compounds; Ta-TaOx-TiO2-Ti; analog synaptic features; biological synapse; compact models; high-density 3D synaptic architecture; neuromorphic computation hardware; physical models; self-rectifying RRAM; ultralow energy consumption; Biology; Computer architecture; Equations; Mathematical model; Neuromorphics; Three-dimensional displays; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electron Devices Meeting (IEDM), 2014 IEEE International
  • Type

    conf

  • DOI
    10.1109/IEDM.2014.7047127
  • Filename
    7047127
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3565208