• DocumentCode
    1654761
  • Title

    Modelling brain cortical connectivity using diffusion adaptation

  • Author

    Eftaxias, Konstantinos ; Sanei, Saeid ; Sayed, Ali H.

  • Author_Institution
    Fac. of Eng. & Phys. Sci., Univ. of Surrey, Guildford, UK
  • fYear
    2013
  • Firstpage
    959
  • Lastpage
    962
  • Abstract
    This work examines the flow of information among electrodes attached to the brain and uses diffusion adaptation strategies to assess brain cortical connectivity. The method uses the directed transfer function (DTF) technique to estimate combination coefficients to drive the adaptation and learning process. The diffusion strategy is then applied to the problem of recognizing left and right hand movements and its superior performance is demonstrated relative to solutions that rely on stand-alone electrodes and do not exploit coordination among multiple electrodes.
  • Keywords
    biomedical electrodes; brain; diffusion; learning (artificial intelligence); transfer functions; DTF technique; adaptation process; brain cortical connectivity modelling; diffusion adaptation; diffusion adaptation strategies; directed transfer function technique; learning process; multiple electrodes; Adaptation models; Brain models; Electrodes; Electroencephalography; Noise; Vectors; Diffusion adaptation; brain connectivity; directed transfer function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637791
  • Filename
    6637791