A dynamic normalization model of temporal attention.

"all behavioural data is publicly available on the open science framework (osf) https://osf io/dkx7n .; all custom code for the model is publicly available on osf https://osf io/dkx7n ."

"code for the behavioral experiments is available on github https://github com/racheldenison/temporal-attention ."

"Competing interests: The authors declare no competing interests."

"This research was supported by National Institutes of Health National Eye Institute R01 EY019693 to MC and DJH and R01 EY016200 to MC, F32 EY025533 to RND, and T32 EY007136 to NYU. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. We thank Hsin-Hung Li for consultation on the model and Carrasco Lab members, especially Valentina Peña for assistance with data collection and Antonio Fernández and Michael Jigo for their comments on the manuscript."