• DocumentCode
    1836979
  • Title

    Support vector regression for cortical control of virtual cursor

  • Author

    Yongji, Wang ; Wan, Wang ; Jiping, He ; Huang Jian

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., China
  • fYear
    2005
  • fDate
    26-28 May 2005
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    In this paper, cortical control of virtual cursor was investigated by means of support vector machine (SVM). In SVM, the training inputs of the regression estimation are firing rates of neuronal ensembles in motor and premotor cortex, and the outputs are trajectories of virtual cursors. The regression results prove that the SVM is effective and available for simulation.
  • Keywords
    brain; neural nets; regression analysis; support vector machines; cortical control; neuronal ensemble; regression estimation; support vector machine; support vector regression; virtual cursor; Animals; Biomedical engineering; Brain modeling; Helium; Neurons; Signal processing; State estimation; Support vector machine classification; Support vector machines; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Interface and Control, 2005. Proceedings. 2005 First International Conference on
  • Print_ISBN
    0-7803-8902-6
  • Type

    conf

  • DOI
    10.1109/ICNIC.2005.1499832
  • Filename
    1499832