• DocumentCode
    1849525
  • Title

    Detection of synchronized firings in multivariate neural spike trains during motor tasks

  • Author

    Bourien, J. ; Sanchez, J.C. ; Bellanger, J.J. ; Wendling, F. ; Principe, J.C.

  • Author_Institution
    Univ. Montpellier 1, Montpellier
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    5210
  • Lastpage
    5213
  • Abstract
    This paper describes and compares two classical methods for the detection of neuron groups which exhibit synchronized firings in multivariate spike trains. These methods were compared on experimental and randomized data corresponding to the firing activity of 104 neurons located in motor, premotor, and parietal cortices in a monkey during movement tasks. Both methods exhibited high false positive rates in randomized data, but results showed that this rate can be advantageously reduced with a simple postprocessing. Otherwise, one method permitted to detect a significant number of synchronized groups of neurons related to the behavioral task.
  • Keywords
    behavioural sciences; bioelectric phenomena; biomechanics; biomedical measurement; cellular biophysics; neurophysiology; behavioral tasks; motor cortices; motor tasks; movement tasks; multivariate neural spike trains; neural multielectrode recording techniques; neuron groups detection; parietal cortices; premotor cortices; synchronized firing activity; Collaboration; Data analysis; Data mining; Fires; Histograms; Nervous system; Neurons; Probability; Statistical analysis; Testing; Action Potentials; Algorithms; Computer Simulation; Diagnosis, Computer-Assisted; Electroencephalography; Evoked Potentials, Motor; Humans; Models, Neurological; Motor Activity; Motor Cortex; Movement; Multivariate Analysis; Task Performance and Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353516
  • Filename
    4353516