A Hybrid Learning Algorithm Integrating Genetic Algorithm with Neural Networks for Saccade Generation Model

摘要

Saccade eye movements are among the most rapid yet precise of all movements produced by higher mammals. Recently we have proposed a spatio-temporal neural network model of the superior colliculus which uses lateral excitatory and inhibitory interconnections to help control both the dynamic and static behavior of saccadic eye movements. In this paper a new learning algorithm integrating genetic algorithms with neural networks for the lateral inhibitory and excitatory interconnections in the saccade generation model is presented.