IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v8y2017i1d10.1038_s41467-017-01356-z.html
   My bibliography  Save this article

History-based action selection bias in posterior parietal cortex

Author

Listed:
  • Eun Jung Hwang

    (University of California, San Diego)

  • Jeffrey E. Dahlen

    (University of California, San Diego)

  • Madan Mukundan

    (University of California, San Diego)

  • Takaki Komiyama

    (University of California, San Diego
    University of California, San Diego)

Abstract

Making decisions based on choice-outcome history is a crucial, adaptive ability in life. However, the neural circuit mechanisms underlying history-dependent decision-making are poorly understood. In particular, history-related signals have been found in many brain areas during various decision-making tasks, but the causal involvement of these signals in guiding behavior is unclear. Here we addressed this issue utilizing behavioral modeling, two-photon calcium imaging, and optogenetic inactivation in mice. We report that a subset of neurons in the posterior parietal cortex (PPC) closely reflect the choice-outcome history and history-dependent decision biases, and PPC inactivation diminishes the history dependency of choice. Specifically, many PPC neurons show history- and bias-tuning during the inter-trial intervals (ITI), and history dependency of choice is affected by PPC inactivation during ITI and not during trial. These results indicate that PPC is a critical region mediating the subjective use of history in biasing action selection.

Suggested Citation

  • Eun Jung Hwang & Jeffrey E. Dahlen & Madan Mukundan & Takaki Komiyama, 2017. "History-based action selection bias in posterior parietal cortex," Nature Communications, Nature, vol. 8(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-01356-z
    DOI: 10.1038/s41467-017-01356-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-017-01356-z
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-017-01356-z?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Samuel López-Yépez Junior & Juliane Martin & Oliver Hulme & Duda Kvitsiani, 2021. "Choice history effects in mice and humans improve reward harvesting efficiency," PLOS Computational Biology, Public Library of Science, vol. 17(10), pages 1-33, October.
    2. Macauley Smith Breault & Pierre Sacré & Zachary B. Fitzgerald & John T. Gale & Kathleen E. Cullen & Jorge A. González-Martínez & Sridevi V. Sarma, 2023. "Internal states as a source of subject-dependent movement variability are represented by large-scale brain networks," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    3. Kaushik J. Lakshminarasimhan & Eric Avila & Xaq Pitkow & Dora E. Angelaki, 2023. "Dynamical latent state computation in the male macaque posterior parietal cortex," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    4. Anne E. Urai & Tobias H. Donner, 2022. "Persistent activity in human parietal cortex mediates perceptual choice repetition bias," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    5. Xin Wei Chia & Jian Kwang Tan & Lee Fang Ang & Tsukasa Kamigaki & Hiroshi Makino, 2023. "Emergence of cortical network motifs for short-term memory during learning," Nature Communications, Nature, vol. 14(1), pages 1-17, December.

    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:8:y:2017:i:1:d:10.1038_s41467-017-01356-z. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.