Unmet expectations delay sensory processes

buir.contributor.authorÜrgen, Buse Merve
buir.contributor.authorBoyacı, Hüseyin
buir.contributor.orcidÜrgen, Buse Merve|0000-0001-8776-8394
buir.contributor.orcidBoyacı, Hüseyin|0000-0003-3168-0654
dc.citation.epage9en_US
dc.citation.spage1en_US
dc.citation.volumeNumber181en_US
dc.contributor.authorÜrgen, Buse Merve
dc.contributor.authorBoyacı, Hüseyin
dc.date.accessioned2022-02-24T11:18:30Z
dc.date.available2022-02-24T11:18:30Z
dc.date.issued2021-01-02
dc.departmentAysel Sabuncu Brain Research Center (BAM)en_US
dc.departmentDepartment of Psychologyen_US
dc.departmentNational Magnetic Resonance Research Center (UMRAM)en_US
dc.description.abstractExpectations strongly affect and shape our perceptual decision-making processes. Specifically, valid expectations speed up perceptual decisions, and determine what we see in a noisy stimulus. Despite the well-established effects of expectations on decision-making, whether and how they affect low-level sensory processes remain elusive. To address this problem, we investigated the effect of expectation on temporal thresholds in an individuation task (detection of the position of an intact image, a house or face). We found that compared to a neutral baseline, thresholds increase when the intact images are of the unexpected category, but remain unchanged when they are of the expected category. Using a recursive Bayesian model with dynamic priors we show that delay in sensory processes is the result of further processing, consequently longer time, required in case of violated expectations. Expectations, however, do not alter internal parameters of the system. These results reveal that sensory processes are delayed when expectations are not met, and a simple parsimonious computational model can successfully explain this effect.en_US
dc.embargo.release2022-01-02
dc.identifier.doi10.1016/j.visres.2020.12.004en_US
dc.identifier.eissn1878-5646
dc.identifier.issn0042-6989
dc.identifier.urihttp://hdl.handle.net/11693/77604
dc.language.isoEnglishen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttps://doi.org/10.1016/j.visres.2020.12.004en_US
dc.source.titleVision Researchen_US
dc.subjectExpectationen_US
dc.subjectPredictionen_US
dc.subjectVisual perceptionen_US
dc.subjectPerceptual inferenceen_US
dc.subjectBayesian theoremen_US
dc.subjectPredictive processingen_US
dc.titleUnmet expectations delay sensory processesen_US
dc.typeArticleen_US

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