Limited Evidence for Probabilistic Cueing Effects on Grating‐Evoked Event‐Related Potentials and Orientation Decoding Performance

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...

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Vydáno v:Psychophysiology Ročník 62; číslo 5; s. e70076 - n/a
Hlavní autoři: Ouden, Carla, Kashyap, Máire, Kikkawa, Morgan, Feuerriegel, Daniel
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Blackwell Publishing Ltd 01.05.2025
John Wiley and Sons Inc
Témata:
Adult
Anticipation, Psychological - physiology
Cues
EEG
Electroencephalography
Electrophysiological recording
ERP
Evoked Potentials - physiology
Evoked Potentials, Visual - physiology
Expectancy
expectation
Female
Humans
Male
MVPA
Orientation behavior
Original
Pattern Recognition, Visual - physiology
Psychomotor Performance - physiology
Somatosensory cortex
surprise
Visual cortex
Visual Cortex - physiology
Visual stimuli
Young Adult
surprise
ERP
expectation
EEG
MVPA
ISSN:0048-5772, 1469-8986, 1469-8986, 1540-5958
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Abstract 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.
AbstractList 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.
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.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.
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. 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 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.
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. 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.
Author Kashyap, Máire
Ouden, Carla
Feuerriegel, Daniel
Kikkawa, Morgan
AuthorAffiliation 1 Melbourne School of Psychological Sciences The University of Melbourne Melbourne Victoria Australia
AuthorAffiliation_xml – name: 1 Melbourne School of Psychological Sciences The University of Melbourne Melbourne Victoria Australia
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  givenname: Carla
  surname: Ouden
  fullname: Ouden, Carla
  organization: The University of Melbourne
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  givenname: Morgan
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  surname: Feuerriegel
  fullname: Feuerriegel, Daniel
  email: daniel.feuerriegel@unimelb.edu.au
  organization: The University of Melbourne
BackLink https://www.ncbi.nlm.nih.gov/pubmed/40391524$$D View this record in MEDLINE/PubMed
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Copyright 2025 The Author(s). published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research.
2025 The Author(s). Psychophysiology published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research.
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Keywords surprise
ERP
expectation
EEG
MVPA
Language English
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2025 The Author(s). Psychophysiology published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research.
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Notes Funding
Carla den Ouden and Máire Kashyap shared first‐authorship reflecting equal contributions.
This work was supported by Australian Research Council (DE220101508).
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Funding: This work was supported by Australian Research Council (DE220101508).
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PublicationDate May 2025
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PublicationTitle Psychophysiology
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Publisher Blackwell Publishing Ltd
John Wiley and Sons Inc
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SSID ssj0009122
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Snippet ABSTRACT We can rapidly learn recurring patterns that occur within our sensory environments. This knowledge allows us to form expectations about future sensory...
We can rapidly learn recurring patterns that occur within our sensory environments. This knowledge allows us to form expectations about future sensory events....
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proquest
pubmed
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wiley
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage e70076
SubjectTerms Adult
Anticipation, Psychological - physiology
Cues
EEG
Electroencephalography
Electrophysiological recording
ERP
Evoked Potentials - physiology
Evoked Potentials, Visual - physiology
Expectancy
expectation
Female
Humans
Male
MVPA
Orientation behavior
Original
Pattern Recognition, Visual - physiology
Psychomotor Performance - physiology
Somatosensory cortex
surprise
Visual cortex
Visual Cortex - physiology
Visual stimuli
Young Adult
Title Limited Evidence for Probabilistic Cueing Effects on Grating‐Evoked Event‐Related Potentials and Orientation Decoding Performance
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fpsyp.70076
https://www.ncbi.nlm.nih.gov/pubmed/40391524
https://www.proquest.com/docview/3229075944
https://www.proquest.com/docview/3205820722
https://pubmed.ncbi.nlm.nih.gov/PMC12090177
Volume 62
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