• DocumentCode
    2327220
  • Title

    A MOS circuit for depressing synapse and its application to contrast-invariant pattern classification and synchrony detection

  • Author

    Asai, Tetsuya ; Kanazawa, Yusuke ; Hirose, Tetsuya ; Amemiya, Yoshihito

  • Author_Institution
    Dept. of Electr. Eng., Hokkaido Univ., Sapporo, Japan
  • Volume
    4
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    2619
  • Abstract
    A compact complementary metal-oxide semiconductor (CMOS) circuit for depressing synapses is designed for demonstrating applications of spiking neural networks for contrast-invariant pattern classification and synchrony detection. Although the unit circuit consists of only five minimum-sized transistors, they emulate fundamental properties of depressing synapses. The results of the operations are evaluated by both experiments and simulation program with integrated circuit emphasis (SPICE).
  • Keywords
    CMOS logic circuits; SPICE; neural nets; pattern classification; MOS circuit; compact complementary metal-oxide semiconductor circuit; contrast-invariant pattern classification; depressing synapse; simulation program with integrated circuit emphasis; spiking neural networks; synchrony detection; Biological neural networks; Circuits; Nervous system; Neural network hardware; Neuromorphics; Neurons; Pattern classification; SPICE; Silicon; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1381059
  • Filename
    1381059