• DocumentCode
    423574
  • Title

    Spike train decoding scheme for a spiking neural network

  • Author

    Amin, Hesham H. ; Fujii, Robert H.

  • Author_Institution
    Dept. of Comput. Eng., Aizu Univ., Aizu-Wakamatsu, Japan
  • Volume
    1
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    477
  • Lastpage
    482
  • Abstract
    A spiking neural network models a type of biological neural system in which spike trains are used to convey information, is presented. A spike train consists of a series of asynchronous input spikes which are input into a neuron through a synapse. A new decoding scheme which can uniquely distinguish spike trains by using the relative spike arrival times in a spike train is proposed. Only a limited number of neurons are needed to implement the decoding scheme.
  • Keywords
    decoding; discrete event systems; neural nets; physiological models; asynchronous input spikes; biological neural system; neuron; spike train decoding scheme; spiking neural network; synapse; Artificial neural networks; Biological neural networks; Biomembranes; Computer networks; Decoding; Electronic mail; Fires; Neural networks; Neurons; Signal processing;
  • 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.2004.1379956
  • Filename
    1379956
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=423574