Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion

We have constructed a recurrent network that stabilizes images of a moving object on the retina of a simulated eye. The structure of the network was motivated by the organization of the primate visual target tracking system. The basic components of a complete target tracking system were simulated, including visual processing, sensory-motor interface, and motor control. Our model is simpler in structure, function and performance than the primate system, but many of the complexities inherent in a complete system are present.

[1]  S. G. Lisberger,et al.  A Control Systems Model of Smooth Pursuit Eye Movements with Realistic Emergent Properties , 1989, Neural Computation.

[2]  W. Newsome,et al.  A selective impairment of motion perception following lesions of the middle temporal visual area (MT) , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[3]  David A. Robinson,et al.  MODELS OF OCULOMOTOR NEURAL ORGANIZATION , 1971 .

[4]  Dana H. Ballard,et al.  Animate Vision , 1991, Artif. Intell..

[5]  E H Adelson,et al.  Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.