![]() ![]() There is indeed evidence that human behavior exhibits substantial autocorrelation in time, even when it is not intended. This raises the intriguing possibility that when performing a task which benefits from integrating multiple samples, visual estimates made further apart in time will be more independent, and thus more informative (accurate) when taken together. It is not clear where the optimal balance lies between the trade-offs of the benefits of serial dependence (scene and object continuity) and the benefits of serial independence (sensitivity or perceptual accuracy) over successive perceptual episodes. In other words, when information is integrated over successive samples, maximally independent samples result in a higher ultimate signal-to-noise ratio. Although perceptual autocorrelation would confer the advantage of continuity, it would also come at a cost when detecting new stimuli, as autocorrelation means less independence in successive visual samples, and thus reduced perceptual accuracy or sensitivity. On the other hand, it would also be impossible to drive at all without somehow integrating new information, such as the changing size of approaching signs. For example, it would be nearly impossible to drive a car on a rainy day if the rain on the windshield (visual noise) caused street signs to jitter in color, position, or even identity. ![]() It is usually safe to assume that a currently viewed object will still be present a moment from now, rather than popping out of existence or being replaced by a different object. In this view, making the current percept dependent on past perceptual decisions could serve to maintain the continuity of objects over time, instead of continually generating new, independent percepts leading to moment-to-moment fluctuations in perceived object properties or identity. ![]() To facilitate such continuity, the visual system may be inclined toward autocorrelation of perception in time, such that the percept at a given moment is biased toward what was perceived at previous moments. We experience the visual world as stable and continuous -objects retain their identities in the midst of eye movements, motion, and visual noise. ![]()
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