TEMPORAL INTEGRATION OF RANDOM-DOT APPARENT MOTION INFORMATION IN HUMAN CENTRAL VISION

Human motion perception is assumed to be functionally described by an array of bi-local detectors feeding later, higher order computational stages. Using this model as a guide, improvement of spatio-temporal di splacement sensitivity by temporal integration (summation) was measure d in human central vision using random dot pattern apparent-motion sti muli. Our results agree with previous experiments with regard to impro vement of. maximum perceivable spatial displacement but show that cont rary to previous results the minimum perceivable spatial displacement can be improved in a similar manner. Furthermore, stimulus duration is a more accurate predictor of sensitivity than the number of frames in the stimulus over a wide range of stimulus parameter values. Finally, our results indicate that temporal tuning of motion detectors is inve rsely related to the size of the spatial pattern displacement.