• DocumentCode
    2286704
  • Title

    Randomly connected neural networks displaying 1/f spectra

  • Author

    Suyari, Hiroki ; Kamitani, Yoshinobu ; Matsuba, Ikuo

  • Author_Institution
    Fac. of Eng., Chiba Univ., Japan
  • Volume
    6
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    419
  • Abstract
    It is known that electroencephalogram (EEG) is broadly scale-invariant over several orders of frequencies. Applying the renormalization group method to the neural network model, we obtain the self-similar solution from which the scaling exponent -1 of the spectrum fall-off. This paper permits one to study the self-similar behavior and helps in understanding the basic ingredients underlying 1/f spectra of EEG
  • Keywords
    electroencephalography; medical signal processing; neural nets; spectral analysis; EEG; randomly connected neural networks; renormalization group method; self-similar behavior; Brain modeling; Displays; Electroencephalography; Equations; Fractals; Frequency; Neural networks; Neurons; Prototypes; Roentgenium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
  • Conference_Location
    Como
  • ISSN
    1098-7576
  • Print_ISBN
    0-7695-0619-4
  • Type

    conf

  • DOI
    10.1109/IJCNN.2000.859431
  • Filename
    859431
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2286704