Yan, Y., Zhan, J., Garrod, O., Cui, X., Ince, R. A.A. and Schyns, P. G. (2023) Strength of predicted information content in the brain biases decision behavior. Current Biology, 33(24), 5505-5514.e6. (doi: 10.1016/j.cub.2023.10.042) (PMID:38065096)
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Abstract
Prediction-for-perception theories suggest that the brain predicts incoming stimuli to facilitate their categorization.1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17 However, it remains unknown what the information contents of these predictions are, which hinders mechanistic explanations. This is because typical approaches cast predictions as an underconstrained contrast between two categories18,19,20,21,22,23,24—e.g., faces versus cars, which could lead to predictions of features specific to faces or cars, or features from both categories. Here, to pinpoint the information contents of predictions and thus their mechanistic processing in the brain, we identified the features that enable two different categorical perceptions of the same stimuli. We then trained multivariate classifiers to discern, from dynamic MEG brain responses, the features tied to each perception. With an auditory cueing design, we reveal where, when, and how the brain reactivates visual category features (versus the typical category contrast) before the stimulus is shown. We demonstrate that the predictions of category features have a more direct influence (bias) on subsequent decision behavior in participants than the typical category contrast. Specifically, these predictions are more precisely localized in the brain (lateralized), are more specifically driven by the auditory cues, and their reactivation strength before a stimulus presentation exerts a greater bias on how the individual participant later categorizes this stimulus. By characterizing the specific information contents that the brain predicts and then processes, our findings provide new insights into the brain’s mechanisms of prediction for perception.
| Item Type: | Articles |
|---|---|
| Keywords: | Visual predictions, top-down processing, perception, MVPA, category-feature. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Cui, Xuan and Garrod, Dr Oliver and Yan, Yuening and Schyns, Professor Philippe and Zhan, Dr Jiayu and Ince, Dr Robin |
| Creator Roles: | Yan, Y.Conceptualization, Investigation, Formal analysis, Writing – original draft, Writing – review and editing Zhan, J.Conceptualization, Writing – original draft, Writing – review and editing Garrod, O.Methodology Cui, X.Investigation Ince, R. A.A.Methodology, Formal analysis, Writing – original draft, Writing – original draft, Funding acquisition Schyns, P. G.Conceptualization, Methodology, Writing – original draft, Writing – review and editing, Funding acquisition |
| Authors: | Yan, Y., Zhan, J., Garrod, O., Cui, X., Ince, R. A.A., and Schyns, P. G. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
| Journal Name: | Current Biology |
| Publisher: | Elsevier (Cell Press) |
| ISSN: | 0960-9822 |
| ISSN (Online): | 1879-0445 |
| Published Online: | 07 December 2023 |
| Copyright Holders: | Copyright © 2023 The Authors |
| First Published: | First published in Current Biology 33(24): 5505-5514.e6 |
| Publisher Policy: | Reproduced under a Creative Commons License |
| Data DOI: | 10.17632/72ggfgw9f7.1 |
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