• DocumentCode
    2495411
  • Title

    Decoding ensemble activity from neurophysiological recordings in the temporal cortex

  • Author

    Kreiman, Gabriel

  • Author_Institution
    Swartz Center for Theor. Neurosci., Harvard Univ. & Children´´s Hosp., Boston, MA, USA
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    5904
  • Lastpage
    5907
  • Abstract
    We study subjects with pharmacologically intractable epilepsy who undergo semi-chronic implantation of electrodes for clinical purposes. We record physiological activity from tens to more than one hundred electrodes implanted in different parts of neocortex. These recordings provide higher spatial and temporal resolution than non-invasive measures of human brain activity. Here we discuss our efforts to develop hardware and algorithms to interact with the human brain by decoding ensemble activity in single trials. We focus our discussion on decoding visual information during a variety of visual object recognition tasks but the same technologies and algorithms can also be directly applied to other cognitive phenomena.
  • Keywords
    biomedical electrodes; brain; decoding; diseases; medical signal detection; medical signal processing; neurophysiology; object recognition; prosthetics; cognitive phenomena; ensemble activity decoding; human brain activity; neocortex; neurophysiological recordings; pharmacologically intractable epilepsy; semichronic implantation; spatial resolution; temporal cortex; temporal resolution; visual information; visual object recognition; Brain; Decoding; Electric potential; Electrodes; Epilepsy; Humans; Visualization; Algorithms; Brain Mapping; Diagnosis, Computer-Assisted; Electroencephalography; Epilepsy; Humans; Nerve Net; Reproducibility of Results; Sensitivity and Specificity; Temporal Lobe;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091460
  • Filename
    6091460