bioRxiv · 10.1101/2019.12.21.886051
A dynamic normalization model of temporal attention
Abstract
Vision is dynamic, handling a continuously changing stream of input, yet most models of visual attention are static. Here, we develop a dynamic normalization model of visual temporal attention and constrain it with new psychophysical human data. We manipulated temporal attention-the prioritization of visual information at specific points in time-to a sequence of two stimuli separated by a variable time interval. Voluntary temporal attention improved perceptual sensitivity only over a specific interval range. To explain these data, we modeled voluntary and involuntary attentional gain dynamics. Voluntary gain enhancement took the form of a limited resource over short time intervals, which recovered over time. Taken together, our theoretical and experimental results formalize and generalize the idea of limited attentional resources across space at a single moment to limited resources across time at a single location.
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Denison, R. N., Carrasco, M., Heeger, D. J.. 2019-12-23. A dynamic normalization model of temporal attention. https://doi.org/10.1101/2019.12.21.886051
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