DocumentCode
3289898
Title
Visual pursuit errors: implications for network models
Author
Deno, D.C. ; Keller, E.L.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fYear
1989
fDate
0-0 1989
Firstpage
717
Abstract
Visual tracking performance is described, and from the nature of experimentally recorded errors an argument is advanced for the location of this uncertainty in the nervous system. It is shown that independent identically distributed motor command noise, n/sub 2/, which enters either A. Pellionisz´s (1988) or W. Daunicht´s (1988) eye kinematics expressions, cannot account for the observed error covariance Sigma /sub e/. Therefore, significant variability is introduced earlier, at the time of visual transduction itself, early visual processing stages, or the sensorimotor transformation. Velocity is not sensed directly, but rather requires observation of a change over time. Thus, early estimates of velocity may be poor because the denominator is so small. The authors show velocity measurements 60 ms into the eye response, an average of 180+or-18 ms after target motion initiation. The orientation of the error ellipse with major axis in the direction of motion suggests that, although speed is poorly estimated at first, direction is better resolved.<>
Keywords
eye; neural nets; neurophysiology; physiological models; eye kinematics; eye response; nervous system; neural nets; physiological models; sensorimotor transformation; visual processing; visual tracking errors; Biological system modeling; Nervous system; Neural networks; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location
Washington, DC, USA
Type
conf
DOI
10.1109/IJCNN.1989.118658
Filename
118658
Link To Document