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Response outcomes gate the impact of expectations on perceptual decisions

Springer Nature Publishing AG https://doi.org/10.1038/s41467-020-14824-w This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-14824-w

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  • Title:
    Response outcomes gate the impact of expectations on perceptual decisions
  • Author: Hermoso Mendizábal, Ainhoa ; Hyafil, Alexandre ; Rueda Orozco, Pavel Ernesto ; Jaramillo, Santiago ; Robbe, David ; De la Rocha, Jaime
  • Subjects: Decision ; Learning algorithms ; Perception
  • Description: Perceptual decisions are based on sensory information but can also be influenced by expectations built from recent experiences. Can the impact of expectations be flexibly modulated based on the outcome of previous decisions? Here, rats perform an auditory task where the probability to repeat the previous stimulus category is varied in trial-blocks. All rats capitalize on these sequence correlations by exploiting a transition bias: a tendency to repeat or alternate their previous response using an internal estimate of the sequence repeating probability. Surprisingly, this bias is null after error trials. The internal estimate however is not reset and it becomes effective again after the next correct response. This behavior is captured by a generative model, whereby a reward-driven modulatory signal gates the impact of the latent model of the environment on the current decision. These results demonstrate that, based on previous outcomes, rats flexibly modulate how expectations influence their decisions.
  • Publisher: Nature Research
  • Creation Date: 2020
  • Language: English
  • Identifier: ISSN: 2041-1723
    EISSN: 2041-1723
    DOI: 10.1038/s41467-020-14824-w
  • Source: PubMed Central
    Repositori Digital de la UPF (Universitat Pompeu Fabra)
    ProQuest Central
    DOAJ Directory of Open Access Journals
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