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
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;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.682286