Empirically Integrating the Evidence for Different Predictive Coding Components Using Auditory False Perception Article Swipe
Feifan Chen
,
Anusha Yasoda‐Mohan
,
Colum Ó Sé
,
Sven Vanneste
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/hbm.70211
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/hbm.70211
Perception is a probabilistic estimation of the sensory information we receive at any given time and is shaped by an internal model generated by the brain by assimilating information over the life course. This predictive system in the brain has several components–(i) the internal model, (ii) the model‐based prediction called priors, (iii) the weighted difference between the prior and sensory input called prediction error (PE) and (iv) the weighted sum of the prior and input called perceptual inference. Until now, different studies have explored the independent components of this predictive coding system, and we, for the first time to our knowledge, integrate them. To do this, we induce a conditioned hallucination (CH) illusion by means of a multisensory integration paradigm and use this as a model to study the behavioral and electrophysiological responses to this experience. Additionally, we also probe their predictive coding system using a well‐established local–global auditory oddball paradigm. By comparing the behavioral and electrophysiological components of people more and less likely to perceive an illusion in the two paradigms, we observed that high perceivers place more confidence in their internal model and low perceivers in the sensory information. Furthermore, high perceivers were more sensitive than low perceivers to PEs that were generated by a change in the context of the sensory information, which served as a measure of a change in the internal model itself. As an exploratory analysis, we also observed that the objective likelihood of perceiving an illusion was corrected to the self‐reported likelihood of perceiving an illusion in a day‐to‐day setting, which disappears when controlled for the perceptual threshold. These results taken together start to give us an idea as to how a person's innate bias—either towards a learned model or external information may—affect their perception in a sensory context.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/hbm.70211
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.70211
- OA Status
- gold
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410511218
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410511218Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/hbm.70211Digital Object Identifier
- Title
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Empirically Integrating the Evidence for Different Predictive Coding Components Using Auditory False PerceptionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-20Full publication date if available
- Authors
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Feifan Chen, Anusha Yasoda‐Mohan, Colum Ó Sé, Sven VannesteList of authors in order
- Landing page
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https://doi.org/10.1002/hbm.70211Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.70211Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.70211Direct OA link when available
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Predictive coding, Perception, Psychology, Coding (social sciences), Cognitive psychology, Auditory perception, Computer science, Neuroscience, Mathematics, StatisticsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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54Number of works referenced by this work
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