• DocumentCode
    1796359
  • Title

    Population representation of artificial neural network

  • Author

    Doo Seok Jeong

  • Author_Institution
    Electron. Mater. Res. Center, Korea Inst. of Sci. & Technol., Seoul, South Korea
  • fYear
    2014
  • fDate
    29-31 July 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Neural representation is briefly reviewed and its essential features, which are required to be implemented in artificial neural networks, are addressed. They are such as population representation and correlation between neighboring neurons. These aspects play an important role in conveying information, compensating the unreliability of individual neuron.
  • Keywords
    neural nets; artificial neural network population representation; neighboring neuron correlation; neuron unreliability; Biological neural networks; Correlation; Firing; Neurons; Noise; Sociology; artificial neural network; correlation; population representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
  • Conference_Location
    Notre Dame, IN
  • Type

    conf

  • DOI
    10.1109/CNNA.2014.6888617
  • Filename
    6888617
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1796359