• DocumentCode
    1601803
  • Title

    Spikes, Local Field Potentials, and Electrocorticogram Characterization during Motor Learning in Rats for Brain Machine Interface Tasks

  • Author

    Marzullo, T.C. ; Dudley, J.R. ; Miller, C.R. ; Trejo, L. ; Kipke, D.R.

  • Author_Institution
    Dept. of Biomed. Eng., Michigan Univ., Ann Arbor, MI
  • fYear
    2006
  • Firstpage
    429
  • Lastpage
    431
  • Abstract
    Brain machine interface development typically falls into two arenas, invasive extracellular recording and non-invasive electroencephalogram recording methods. The relationship between action potentials and field potentials is not well understood, and investigation of interrelationships may improve design of neuroprosthetic control systems. Rats were trained on a motor learning task whereby they had to insert their noses into an aperture while simultaneously pressing down on levers with their forepaws; spikes, local field potentials (LFPs), and electrocorticograms (ECoGs) over the motor cortex were recorded and characterized. Preliminary results suggest that the LFP activity in lower cortical layers oscillates with the ECoG
  • Keywords
    bioelectric potentials; brain; handicapped aids; medical control systems; medical signal processing; prosthetics; action potentials; brain machine interface tasks; electrocorticogram; invasive extracellular recording; local field potentials; motor cortex; motor learning; motor learning task; neuroprosthetic control systems; noninvasive electroencephalogram recording; rats; spikes; Apertures; Band pass filters; Biomedical electrodes; Biomedical engineering; Machine learning; Microelectrodes; Nose; Rats; Skull; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616437
  • Filename
    1616437