IDEAS home Printed from https://ideas.repec.org/a/plo/pcbi00/1008968.html
   My bibliography  Save this article

Categorical judgments do not modify sensory representations in working memory

Author

Listed:
  • Long Luu
  • Alan A Stocker

Abstract

Categorical judgments can systematically bias the perceptual interpretation of stimulus features. However, it remained unclear whether categorical judgments directly modify working memory representations or, alternatively, generate these biases via an inference process down-stream from working memory. To address this question we ran two novel psychophysical experiments in which human subjects had to reverse their categorical judgments about a stimulus feature, if incorrect, before providing an estimate of the feature. If categorical judgments indeed directly altered sensory representations in working memory, subjects’ estimates should reflect some aspects of their initial (incorrect) categorical judgment in those trials. We found no traces of the initial categorical judgment. Rather, subjects seemed to be able to flexibly switch their categorical judgment if needed and use the correct corresponding categorical prior to properly perform feature inference. A cross-validated model comparison also revealed that feedback may lead to selective memory recall such that only memory samples that are consistent with the categorical judgment are accepted for the inference process. Our results suggest that categorical judgments do not modify sensory information in working memory but rather act as top-down expectations in the subsequent sensory recall and inference process.Author summary: Humans have the tendency to remain consistent with their previous categorical judgments when recalling memorized evidence. This tendency gives rise to many known forms of consistency and confirmation biases. Using a detailed computational model comparison, we show that these biases do not reflect distortions in the memory representation of the evidence but rather result from a biased interpretation of the evidence during memory recall. Our results are important as they suggest that consistency biases are malleable, even reversible, which has implications for our understanding of economic and cognitive decision-making processes and even society at large.

Suggested Citation

  • Long Luu & Alan A Stocker, 2021. "Categorical judgments do not modify sensory representations in working memory," PLOS Computational Biology, Public Library of Science, vol. 17(6), pages 1-28, June.
  • Handle: RePEc:plo:pcbi00:1008968
    DOI: 10.1371/journal.pcbi.1008968
    as

    Download full text from publisher

    File URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008968
    Download Restriction: no

    File URL: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008968&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pcbi.1008968?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. Christensen-Szalanski, Jay J. J. & Willham, Cynthia Fobian, 1991. "The hindsight bias: A meta-analysis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 48(1), pages 147-168, February.
    2. Mehrdad Jazayeri & J. Anthony Movshon, 2007. "A new perceptual illusion reveals mechanisms of sensory decoding," Nature, Nature, vol. 446(7138), pages 912-915, April.
    3. Megan A. K. Peters & Thomas Thesen & Yoshiaki D. Ko & Brian Maniscalco & Chad Carlson & Matt Davidson & Werner Doyle & Ruben Kuzniecky & Orrin Devinsky & Eric Halgren & Hakwan Lau, 2017. "Perceptual confidence neglects decision-incongruent evidence in the brain," Nature Human Behaviour, Nature, vol. 1(7), pages 1-8, July.
    4. Konrad P. Körding & Daniel M. Wolpert, 2004. "Bayesian integration in sensorimotor learning," Nature, Nature, vol. 427(6971), pages 244-247, 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. William T Adler & Wei Ji Ma, 2018. "Comparing Bayesian and non-Bayesian accounts of human confidence reports," PLOS Computational Biology, Public Library of Science, vol. 14(11), pages 1-34, November.
    3. Shih-Wei Wu & Maria F Dal Martello & Laurence T Maloney, 2009. "Sub-Optimal Allocation of Time in Sequential Movements," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-13, December.
    4. Leopold Zizlsperger & Thomas Sauvigny & Thomas Haarmeier, 2012. "Selective Attention Increases Choice Certainty in Human Decision Making," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-9, July.
    5. Manuel Rausch & Michael Zehetleitner, 2019. "The folded X-pattern is not necessarily a statistical signature of decision confidence," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-18, October.
    6. Stephen Morris & Ming Yang, 2016. "Coordination and the Relative Cost of Distinguishing Nearby States," Working Papers 079_2016, Princeton University, Department of Economics, Econometric Research Program..
    7. Geonhui Lee & Woong Choi & Hanjin Jo & Wookhyun Park & Jaehyo Kim, 2020. "Analysis of motor control strategy for frontal and sagittal planes of circular tracking movements using visual feedback noise from velocity change and depth information," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    8. 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.
    9. 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.
    10. 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.
    11. Tim Genewein & Eduard Hez & Zeynab Razzaghpanah & Daniel A Braun, 2015. "Structure Learning in Bayesian Sensorimotor Integration," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-27, August.
    12. Ofri Raviv & Merav Ahissar & Yonatan Loewenstein, 2012. "How Recent History Affects Perception: The Normative Approach and Its Heuristic Approximation," PLOS Computational Biology, Public Library of Science, vol. 8(10), pages 1-10, October.
    13. Cartwright, Edward & Wooders, Myrna, 2020. "Own experience bias in evaluating the efforts of others," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 164-178.
    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. Dominik Bauer & Irenaeus Wolff, 2018. "Biases in Beliefs: Experimental Evidence," TWI Research Paper Series 109, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    16. Danz, David, 2020. "Never underestimate your opponent: Hindsight bias causes overplacement and overentry into competition," Games and Economic Behavior, Elsevier, vol. 124(C), pages 588-603.
    17. Cassar, Gavin & Craig, Justin, 2009. "An investigation of hindsight bias in nascent venture activity," Journal of Business Venturing, Elsevier, vol. 24(2), pages 149-164, March.
    18. Müller, Patrick A. & Stahlberg, Dagmar, 2007. "The Role of Surprise in Hindsight Bias – A Metacognitive Model of Reduced and Reversed Hindsight Bias," Sonderforschungsbereich 504 Publications 07-16, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    19. Max Berniker & Martin Voss & Konrad Kording, 2010. "Learning Priors for Bayesian Computations in the Nervous System," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-9, September.
    20. Carrillo, Juan & Brocas, Isabelle, 2007. "Reason, Emotion and Information Processing in the Brain," CEPR Discussion Papers 6535, C.E.P.R. Discussion Papers.

    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:plo:pcbi00:1008968. 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: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .

    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.