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All Outputs (3)

The spatial properties of adaptation-induced distance compression (2022)
Journal Article
Jovanovic, L., McGraw, P. V., Roach, N. W., & Johnston, A. (2022). The spatial properties of adaptation-induced distance compression. Journal of Vision, 22(11), Article 7. https://doi.org/10.1167/jov.22.11.7

Exposure to a dynamic texture reduces the perceived separation between objects, altering the mapping between physical relations in the environment and their neural representations. Here we investigated the spatial tuning and spatial frame of referenc... Read More about The spatial properties of adaptation-induced distance compression.

Strong perceptual consequences of low-level visual predictions: A new illusion (2022)
Journal Article
Jovanovic, L., Trichanh, M., Martin, B., & Giersch, A. (2023). Strong perceptual consequences of low-level visual predictions: A new illusion. Cognition, 230, Article 105279. https://doi.org/10.1016/j.cognition.2022.105279

Predicting information is considered to be an efficient strategy to minimise processing costs by exploiting regularities in the environment, and to allow for adaptation in case of irregularities, i.e. prediction errors. How such errors impact conscio... Read More about Strong perceptual consequences of low-level visual predictions: A new illusion.

The Blursday database as a resource to study subjective temporalities during COVID-19 (2022)
Journal Article
Chaumon, M., Rioux, P., Herbst, S. K., Spiousas, I., Kübel, S. L., Gallego Hiroyasu, E. M., …van Wassenhove, V. (2022). The Blursday database as a resource to study subjective temporalities during COVID-19. Nature Human Behaviour, 6, 1587-1599. https://doi.org/10.1038/s41562-022-01419-2

The COVID-19 pandemic and associated lockdowns triggered worldwide changes in the daily routines of human experience. The Blursday database provides repeated measures of subjective time and related processes from participants in nine countries tested... Read More about The Blursday database as a resource to study subjective temporalities during COVID-19.