IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-42813-2.html
   My bibliography  Save this article

Introspective inference counteracts perceptual distortion

Author

Listed:
  • Andra Mihali

    (New York State Psychiatric Institute
    Columbia University, Department of Psychiatry)

  • Marianne Broeker

    (New York State Psychiatric Institute
    Columbia University, Department of Psychiatry
    Columbia University, Teachers College
    University of Oxford, Department of Experimental Psychology)

  • Florian D. M. Ragalmuto

    (New York State Psychiatric Institute
    Columbia University, Department of Psychiatry
    Vrije Universiteit, Faculty of Behavioral and Movement Science
    Berliner FortbildungsAkademie)

  • Guillermo Horga

    (New York State Psychiatric Institute
    Columbia University, Department of Psychiatry)

Abstract

Introspective agents can recognize the extent to which their internal perceptual experiences deviate from the actual states of the external world. This ability, also known as insight, is critically required for reality testing and is impaired in psychosis, yet little is known about its cognitive underpinnings. We develop a Bayesian modeling framework and a psychophysics paradigm to quantitatively characterize this type of insight while people experience a motion after-effect illusion. People can incorporate knowledge about the illusion into their decisions when judging the actual direction of a motion stimulus, compensating for the illusion (and often overcompensating). Furthermore, confidence, reaction-time, and pupil-dilation data all show signatures consistent with inferential adjustments in the Bayesian insight model. Our results suggest that people can question the veracity of what they see by making insightful inferences that incorporate introspective knowledge about internal distortions.

Suggested Citation

  • Andra Mihali & Marianne Broeker & Florian D. M. Ragalmuto & Guillermo Horga, 2023. "Introspective inference counteracts perceptual distortion," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42813-2
    DOI: 10.1038/s41467-023-42813-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-42813-2
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-42813-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hsin-Hung Li & Wei Ji Ma, 2020. "Confidence reports in decision-making with multiple alternatives violate the Bayesian confidence hypothesis," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    2. Timothy D. Hanks & Charles D. Kopec & Bingni W. Brunton & Chunyu A. Duan & Jeffrey C. Erlich & Carlos D. Brody, 2015. "Distinct relationships of parietal and prefrontal cortices to evidence accumulation," Nature, Nature, vol. 520(7546), pages 220-223, April.
    3. Mehrdad Jazayeri & J. Anthony Movshon, 2007. "A new perceptual illusion reveals mechanisms of sensory decoding," Nature, Nature, vol. 446(7138), pages 912-915, April.
    4. Marc O. Ernst & Martin S. Banks, 2002. "Humans integrate visual and haptic information in a statistically optimal fashion," Nature, Nature, vol. 415(6870), pages 429-433, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Seth W. Egger & Stephen G. Lisberger, 2022. "Neural structure of a sensory decoder for motor control," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Simon Weiler & Vahid Rahmati & Marcel Isstas & Johann Wutke & Andreas Walter Stark & Christian Franke & Jürgen Graf & Christian Geis & Otto W. Witte & Mark Hübener & Jürgen Bolz & Troy W. Margrie & Kn, 2024. "A primary sensory cortical interareal feedforward inhibitory circuit for tacto-visual integration," Nature Communications, Nature, vol. 15(1), pages 1-24, December.
    3. Kaushik J Lakshminarasimhan & Alexandre Pouget & Gregory C DeAngelis & Dora E Angelaki & Xaq Pitkow, 2018. "Inferring decoding strategies for multiple correlated neural populations," PLOS Computational Biology, Public Library of Science, vol. 14(9), pages 1-40, September.
    4. Catarina Mendonça & Pietro Mandelli & Ville Pulkki, 2016. "Modeling the Perception of Audiovisual Distance: Bayesian Causal Inference and Other Models," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-18, December.
    5. Jacob D Davidson & Ahmed El Hady, 2019. "Foraging as an evidence accumulation process," PLOS Computational Biology, Public Library of Science, vol. 15(7), pages 1-25, July.
    6. Wen-Hao Zhang & Si Wu & Krešimir Josić & Brent Doiron, 2023. "Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    7. Caroline Haimerl & Douglas A. Ruff & Marlene R. Cohen & Cristina Savin & Eero P. Simoncelli, 2023. "Targeted V1 comodulation supports task-adaptive sensory decisions," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    8. Pierre O. Boucher & Tian Wang & Laura Carceroni & Gary Kane & Krishna V. Shenoy & Chandramouli Chandrasekaran, 2023. "Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex," Nature Communications, Nature, vol. 14(1), pages 1-28, December.
    9. Adam N Sanborn & Ulrik R Beierholm, 2016. "Fast and Accurate Learning When Making Discrete Numerical Estimates," PLOS Computational Biology, Public Library of Science, vol. 12(4), pages 1-28, April.
    10. Wan-Yu Shih & Hsiang-Yu Yu & Cheng-Chia Lee & Chien-Chen Chou & Chien Chen & Paul W. Glimcher & Shih-Wei Wu, 2023. "Electrophysiological population dynamics reveal context dependencies during decision making in human frontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
    11. Xiaochen Zhang & Lingling Jin & Jie Zhao & Jiazhen Li & Ding-Bang Luh & Tiansheng Xia, 2022. "The Influences of Different Sensory Modalities and Cognitive Loads on Walking Navigation: A Preliminary Study," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    12. Johannes Burge & Priyank Jaini, 2017. "Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-32, February.
    13. Yingjie Lai & Chaemoon Yoo & Xiaomin Zhou & Younghwan Pan, 2023. "Elements of Food Service Design for Low-Carbon Tourism-Based on Dine-In Tourist Behavior and Attitudes in China," Sustainability, MDPI, vol. 15(9), pages 1-21, May.
    14. Brocas, Isabelle & Carrillo, Juan D., 2012. "From perception to action: An economic model of brain processes," Games and Economic Behavior, Elsevier, vol. 75(1), pages 81-103.
    15. Jean-François Patri & Pascal Perrier & Jean-Luc Schwartz & Julien Diard, 2018. "What drives the perceptual change resulting from speech motor adaptation? Evaluation of hypotheses in a Bayesian modeling framework," PLOS Computational Biology, Public Library of Science, vol. 14(1), pages 1-38, January.
    16. Florent Meyniel, 2020. "Brain dynamics for confidence-weighted learning," PLOS Computational Biology, Public Library of Science, vol. 16(6), pages 1-27, June.
    17. Anna Lambrechts & Vincent Walsh & Virginie van Wassenhove, 2013. "Evidence Accumulation in the Magnitude System," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-10, December.
    18. Noelle R B Stiles & Monica Li & Carmel A Levitan & Yukiyasu Kamitani & Shinsuke Shimojo, 2018. "What you saw is what you will hear: Two new illusions with audiovisual postdictive effects," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-22, October.
    19. Elina Stengård & Ronald van den Berg, 2019. "Imperfect Bayesian inference in visual perception," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-27, April.
    20. Lunn, Pete & Duffy, David, 2010. "The Euro Through the Looking-Glass: Perceived Inflation Following the 2002 Currency Changeover," Papers WP338, Economic and Social Research Institute (ESRI).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42813-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.