A spatio-temporal neural network model of saccade generation

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.<>