Limited Evidence for Probabilistic Cueing Effects on Grating‐Evoked Event‐Related Potentials and Orientation Decoding Performance.
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| Title: | Limited Evidence for Probabilistic Cueing Effects on Grating‐Evoked Event‐Related Potentials and Orientation Decoding Performance. |
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| Authors: | den Ouden, Carla (AUTHOR), Kashyap, Máire (AUTHOR), Kikkawa, Morgan (AUTHOR), Feuerriegel, Daniel (AUTHOR) |
| Source: | Psychophysiology. May2025, Vol. 62 Issue 5, p1-21. 21p. |
| Subjects: | Visual evoked response, Visual cortex, Visual perception, Prediction models, Electroencephalography |
| Abstract: | We can rapidly learn recurring patterns that occur within our sensory environments. This knowledge allows us to form expectations about future sensory events. Several influential predictive coding models posit that, when a stimulus matches our expectations, the activity of feature‐selective neurons in the visual cortex will be suppressed relative to when that stimulus is unexpected. However, after accounting for known critical confounds, there is currently scant evidence for these hypothesized effects from studies recording electrophysiological neural activity. To provide a strong test for expectation effects on stimulus‐evoked responses in the visual cortex, we performed a probabilistic cueing experiment while recording electroencephalographic (EEG) data. Participants (n = 48) learned associations between visual cues and subsequently presented gratings. A given cue predicted the appearance of a certain grating orientation with 10%, 25%, 50%, 75%, or 90% validity. We did not observe any stimulus expectancy effects on grating‐evoked event‐related potentials. Multivariate classifiers trained to discriminate between grating orientations performed better when classifying 10% compared to 90% probability gratings. However, classification performance did not substantively differ across any other stimulus expectancy conditions. Our findings provide very limited evidence for modulations of prediction error signaling by probabilistic expectations as specified in contemporary predictive coding models. Impact Statement: Stimulus expectations are widely assumed to modulate the responsiveness of neurons in the visual system. However, there is currently a lack of clear evidence from electrophysiological studies to support this assumption. Our study provides a strong test of expectation effects on visual evoked responses while controlling for critical confounds. We show that cued probabilistic expectations do not modulate event‐related potentials evoked by visual stimuli, contrary to hypotheses derived from predictive coding models. [ABSTRACT FROM AUTHOR] |
| Copyright of Psychophysiology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 185489851 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Limited Evidence for Probabilistic Cueing Effects on Grating‐Evoked Event‐Related Potentials and Orientation Decoding Performance. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22den+Ouden%2C+Carla%22">den Ouden, Carla</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kashyap%2C+Máire%22">Kashyap, Máire</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kikkawa%2C+Morgan%22">Kikkawa, Morgan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feuerriegel%2C+Daniel%22">Feuerriegel, Daniel</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Psychophysiology%22">Psychophysiology</searchLink>. May2025, Vol. 62 Issue 5, p1-21. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Visual+evoked+response%22">Visual evoked response</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+cortex%22">Visual cortex</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We can rapidly learn recurring patterns that occur within our sensory environments. This knowledge allows us to form expectations about future sensory events. Several influential predictive coding models posit that, when a stimulus matches our expectations, the activity of feature‐selective neurons in the visual cortex will be suppressed relative to when that stimulus is unexpected. However, after accounting for known critical confounds, there is currently scant evidence for these hypothesized effects from studies recording electrophysiological neural activity. To provide a strong test for expectation effects on stimulus‐evoked responses in the visual cortex, we performed a probabilistic cueing experiment while recording electroencephalographic (EEG) data. Participants (n = 48) learned associations between visual cues and subsequently presented gratings. A given cue predicted the appearance of a certain grating orientation with 10%, 25%, 50%, 75%, or 90% validity. We did not observe any stimulus expectancy effects on grating‐evoked event‐related potentials. Multivariate classifiers trained to discriminate between grating orientations performed better when classifying 10% compared to 90% probability gratings. However, classification performance did not substantively differ across any other stimulus expectancy conditions. Our findings provide very limited evidence for modulations of prediction error signaling by probabilistic expectations as specified in contemporary predictive coding models. Impact Statement: Stimulus expectations are widely assumed to modulate the responsiveness of neurons in the visual system. However, there is currently a lack of clear evidence from electrophysiological studies to support this assumption. Our study provides a strong test of expectation effects on visual evoked responses while controlling for critical confounds. We show that cued probabilistic expectations do not modulate event‐related potentials evoked by visual stimuli, contrary to hypotheses derived from predictive coding models. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Psychophysiology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/psyp.70076 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Subjects: – SubjectFull: Visual evoked response Type: general – SubjectFull: Visual cortex Type: general – SubjectFull: Visual perception Type: general – SubjectFull: Prediction models Type: general – SubjectFull: Electroencephalography Type: general Titles: – TitleFull: Limited Evidence for Probabilistic Cueing Effects on Grating‐Evoked Event‐Related Potentials and Orientation Decoding Performance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: den Ouden, Carla – PersonEntity: Name: NameFull: Kashyap, Máire – PersonEntity: Name: NameFull: Kikkawa, Morgan – PersonEntity: Name: NameFull: Feuerriegel, Daniel IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00485772 Numbering: – Type: volume Value: 62 – Type: issue Value: 5 Titles: – TitleFull: Psychophysiology Type: main |
| ResultId | 1 |