• DocumentCode
    2210491
  • Title

    Visualisation of human basal ganglia neuron responses using the generative topographic mapping (GTM) algorithm

  • Author

    Branston, Neil M. ; El-Deredy, Wael ; Lisboa, Paulo J G ; Thomas, David G T

  • Author_Institution
    Inst. of Neurol., Univ. Dept. of Nuerosurg., London, UK
  • Volume
    1
  • fYear
    1998
  • fDate
    4-8 May 1998
  • Firstpage
    326
  • Abstract
    We present a data set obtained from neurophysiological recordings made from single neurons in the human basal ganglia in relation to movements of the limbs during surgical procedures for Parkinson´s disease. Data from both the pre-movement (movement preparation) phase and the post-movement phase were recorded in 25 cells in 9 patients. Using the generative topographic mapping algorithm (GTM), we show that the data corresponding to individual cells cluster in different parts of the map, which suggests that different cells have their own distinct firing pattern. The self-organising map as implemented by GTM appears to be a useful tool for visualising the responses of these neurons in relation to movement
  • Keywords
    biomechanics; neurophysiology; self-organising feature maps; surgery; Parkinson´s disease; firing pattern; generative topographic mapping algorithm; human basal ganglia neuron responses; limbs; movement preparation phase; neurophysiological recordings; post-movement phase; pre-movement phase; self-organising map; surgical procedures; Basal ganglia; Cerebral cortex; Clustering algorithms; Data visualization; Humans; Lesions; Neurons; Neurosurgery; Parkinson´s disease; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-4859-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1998.682286
  • Filename
    682286