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• W3194864620 abstract "Abstract Scenes contain many statistical regularities that, if accounted for by the visual system, could greatly benefit visual processing. One such statistic to consider is the orientation-averaged slope ( α ) of the amplitude spectrum of natural scenes. Human observers are differently sensitive to α s, and they may utilize this statistic when processing natural scenes. Here, we explore whether discrimination sensitivity to α is associated with the recently viewed environment. Observers were immersed, using a Head-Mounted Display, in an environment that was either unaltered or had its average α steepened or shallowed. Discrimination thresholds were affected by the average shift in α : a steeper environment decreased thresholds for very steep reference α s while a shallower environment decreased thresholds for shallow values. We modelled these data with a Bayesian observer model and explored how different prior shapes may influence the ability of the model to fit observer thresholds. We explore three potential prior shapes: unimodal, bimodal and trimodal modified-PERT distributions and found the bimodal prior to best-capture observer thresholds for all experimental conditions. Notably, the prior modes’ position was shifted following adaptation, which suggests that a priori expectations for α are sufficiently malleable to account for changes in the average α of the recently viewed scenes. Author Summary Human observers are sensitive to the statistics of natural scenes. Here, we investigated whether differences in discrimination thresholds to the amplitude spectrum slope ( α ) of natural scenes is tied to the distribution of α in typical visual environments of humans. We measured discrimination sensitivity to α within the environment of observers in a Head-Mounted Display, which overlaid our stimuli onto a real-time recording of the observer’s environment. Observers were then immersed in a modified environment; the α of each image was steepened or shallowed to shift the distribution of α observers were exposed to. Our adaptation procedure altered discrimination thresholds as they showed an additional peak in sensitivity for α values near the new average α of the modified environment. Our Bayesian modelling indicates that the prior for α is bimodal and sufficiently flexible to adapt to novel environments with different α distributions. Overall, our findings demonstrate that the human visual system continuously adapts to the current statistical structure of its natural environment." @default.
• W3194864620 created "2021-08-30" @default.
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• W3194864620 date "2021-08-19" @default.
• W3194864620 modified "2023-09-26" @default.
• W3194864620 title "Immersion in Modified Reality: Sensitivity to the Slope (α) of the Amplitude Spectrum is Dependent on the α of Recently Viewed Environments" @default.
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• W3194864620 doi "https://doi.org/10.1101/2021.08.19.456985" @default.
• W3194864620 hasPublicationYear "2021" @default.
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