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
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;
Conference_Titel :
Neural Networks, 1993., IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0999-5
DOI :
10.1109/ICNN.1993.298529
