DocumentCode
1902128
Title
A spatio-temporal neural network model of saccade generation
Author
Arai, K. ; Keller, E.L. ; Edelman, J.A.
Author_Institution
Smith-Kettlewell Eye Res. Inst., California Univ., Berkeley, CA, USA
fYear
1993
fDate
1993
Firstpage
70
Abstract
A spatio-temporal neural network model of the superior colliculus is presented. The model uses lateral excitatory and inhibitory connections to help control both the dynamic and static behavior of saccadic eye movements. In simulations, the model succeeds in replicating accurate saccades of a variety of sizes. Simulation results and the model´s relation to neurophysiological findings are discussed
Keywords
brain models; eye; neural nets; neurophysiology; dynamic behaviour; excitatory connections; eye movements; inhibitory connections; neurophysiological findings; saccade generation; spatio-temporal neural network model; static behavior; superior colliculus; Animals; Biological neural networks; Brain modeling; Delay; Eyes; Fault location; Humans; Neural networks; Neurons; Retina;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993., IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0999-5
Type
conf
DOI
10.1109/ICNN.1993.298529
Filename
298529
Link To Document