Title :
Simulated callosal lesions in a neural model of left and right hemispheric regions
Author :
Glezer, Mark ; Shkuro, Yuri ; Reggia, James A.
Author_Institution :
Dept. of Computer Sci. & Neurology, Maryland Univ., College Park, MD, USA
Abstract :
Currently, how the brain recovers from acute damage is poorly understood. Our goal in this study was to use a neural model of the left and right hemispheric regions connected via a corpus callosum for exploration of the effects of callosal lesions. We wanted to determine how pre-lesion lateralization of function and the assumed nature of callosal influences affected post-lesion performance, individual hemispheric contribution to recovery, and regional activation levels. The overall results with lesions to our model support the hypothesis that callosal effects are predominantly excitatory
Keywords :
brain models; neural nets; acute damage; corpus callosum; excitatory effects; left hemispheric region; neural model; post-lesion performance; recovery; regional activation levels; right hemispheric region; simulated callosal lesions; Biological neural networks; Computational modeling; Computer science; Delay effects; Educational institutions; Lesions; Nervous system; Neurofeedback; Output feedback; State feedback;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831487