A dynamic normalization model of temporal attention

Rachel N. Denison (), Marisa Carrasco and David J. Heeger
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Rachel N. Denison: New York University
Marisa Carrasco: New York University
David J. Heeger: New York University

Nature Human Behaviour, 2021, vol. 5, issue 12, 1674-1685

Abstract: 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 modelled 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.

Date: 2021
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DOI: 10.1038/s41562-021-01129-1

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