IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-32210-6.html
   My bibliography  Save this article

Evidence accumulation occurs locally in the parietal cortex

Author

Listed:
  • Zhewei Zhang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Chaoqun Yin

    (Chinese Academy of Sciences)

  • Tianming Yang

    (Chinese Academy of Sciences)

Abstract

Decision making often entails evidence accumulation, a process that is represented by neural activities in a network of multiple brain areas. Yet, it has not been identified where exactly the accumulation originates. We reason that a candidate brain area should both represent evidence accumulation and information that is used to compute evidence. Therefore, we designed a two-stage probabilistic reasoning task in which the evidence for accumulation had to be first determined from sensory signals orthogonal to decisions. With a linear encoding model, we decomposed the responses of posterior parietal neurons to each stimulus into an early and a late component that represented two dissociable stages of decision making. The former reflected the transformation from sensory inputs to accumulable evidence, and the latter reflected the accumulation of evidence and the formation of decisions. The presence of both computational stages indicates that evidence accumulation signal in the parietal cortex is computed locally.

Suggested Citation

  • Zhewei Zhang & Chaoqun Yin & Tianming Yang, 2022. "Evidence accumulation occurs locally in the parietal cortex," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32210-6
    DOI: 10.1038/s41467-022-32210-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-32210-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-32210-6?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. Mattia Rigotti & Omri Barak & Melissa R. Warden & Xiao-Jing Wang & Nathaniel D. Daw & Earl K. Miller & Stefano Fusi, 2013. "The importance of mixed selectivity in complex cognitive tasks," Nature, Nature, vol. 497(7451), pages 585-590, May.
    2. Louis J. Toth & John A. Assad, 2002. "Dynamic coding of behaviourally relevant stimuli in parietal cortex," Nature, Nature, vol. 415(6868), pages 165-168, January.
    3. Joshua I. Gold & Michael N. Shadlen, 2000. "Representation of a perceptual decision in developing oculomotor commands," Nature, Nature, vol. 404(6776), pages 390-394, March.
    4. Tianming Yang & Michael N. Shadlen, 2007. "Probabilistic reasoning by neurons," Nature, Nature, vol. 447(7148), pages 1075-1080, June.
    5. Michael L. Platt & Paul W. Glimcher, 1999. "Neural correlates of decision variables in parietal cortex," Nature, Nature, vol. 400(6741), pages 233-238, July.
    6. A. B. Sereno & J. H. R. Maunsell, 1998. "Shape selectivity in primate lateral intraparietal cortex," Nature, Nature, vol. 395(6701), pages 500-503, October.
    7. Camillo Padoa-Schioppa & John A. Assad, 2006. "Neurons in the orbitofrontal cortex encode economic value," Nature, Nature, vol. 441(7090), pages 223-226, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Yujie Wu & Tian Wang & Tingting Zhou & Yang Li & Yi Yang & Weifeng Dai & Yange Zhang & Chuanliang Han & Dajun Xing, 2022. "V1-bypassing suppression leads to direction-specific microsaccade modulation in visual coding and perception," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

    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. Laurette Dubé & Antoine Bechara & Ulf Böckenholt & Asim Ansari & Alain Dagher & Mark Daniel & Wayne DeSarbo & Lesley Fellows & Ross Hammond & Terry Huang & Scott Huettel & Yan Kestens & Bärbel Knäuper, 2009. "Towards a brain-to-society systems model of individual choice," Marketing Letters, Springer, vol. 20(1), pages 105-106, March.
    2. 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.
    3. Wenyi Zhang & Yang Xie & Tianming Yang, 2022. "Reward salience but not spatial attention dominates the value representation in the orbitofrontal cortex," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Ryan Webb & Paul W. Glimcher & Kenway Louie, 2021. "The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints," Management Science, INFORMS, vol. 67(1), pages 93-125, January.
    5. Dickhaut, John & Smith, Vernon & Xin, Baohua & Rustichini, Aldo, 2013. "Human economic choice as costly information processing," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 206-221.
    6. Kenneth W. Latimer & David J. Freedman, 2023. "Low-dimensional encoding of decisions in parietal cortex reflects long-term training history," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
    7. Bruno B Averbeck & Moonsang Seo, 2008. "The Statistical Neuroanatomy of Frontal Networks in the Macaque," PLOS Computational Biology, Public Library of Science, vol. 4(4), pages 1-11, April.
    8. 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.
    9. Kiyohito Iigaya & Sanghyun Yi & Iman A. Wahle & Sandy Tanwisuth & Logan Cross & John P. O’Doherty, 2023. "Neural mechanisms underlying the hierarchical construction of perceived aesthetic value," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    10. Robert Legenstein & Wolfgang Maass, 2014. "Ensembles of Spiking Neurons with Noise Support Optimal Probabilistic Inference in a Dynamically Changing Environment," PLOS Computational Biology, Public Library of Science, vol. 10(10), pages 1-27, October.
    11. B. Douglas Bernheim, 2009. "On the Potential of Neuroeconomics: A Critical (but Hopeful) Appraisal," American Economic Journal: Microeconomics, American Economic Association, vol. 1(2), pages 1-41, August.
    12. Katarzyna Jurewicz & Brianna J. Sleezer & Priyanka S. Mehta & Benjamin Y. Hayden & R. Becket Ebitz, 2024. "Irrational choices via a curvilinear representational geometry for value," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    13. Jill X O'Reilly & Saad Jbabdi & Matthew F S Rushworth & Timothy E J Behrens, 2013. "Brain Systems for Probabilistic and Dynamic Prediction: Computational Specificity and Integration," PLOS Biology, Public Library of Science, vol. 11(9), pages 1-14, September.
    14. Daniel Serra, 2021. "Decision-making: from neuroscience to neuroeconomics—an overview," Theory and Decision, Springer, vol. 91(1), pages 1-80, July.
    15. Arno Onken & Jue Xie & Stefano Panzeri & Camillo Padoa-Schioppa, 2019. "Categorical encoding of decision variables in orbitofrontal cortex," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-27, October.
    16. Vassilios Christopoulos & Paul R Schrater, 2015. "Dynamic Integration of Value Information into a Common Probability Currency as a Theory for Flexible Decision Making," PLOS Computational Biology, Public Library of Science, vol. 11(9), pages 1-26, September.
    17. Shinichiro Kira & Houman Safaai & Ari S. Morcos & Stefano Panzeri & Christopher D. Harvey, 2023. "A distributed and efficient population code of mixed selectivity neurons for flexible navigation decisions," Nature Communications, Nature, vol. 14(1), pages 1-28, December.
    18. Carlos Alós-Ferrer & Maximilian Mihm, 2021. "Updating stochastic choice," ECON - Working Papers 381, Department of Economics - University of Zurich.
    19. Brocas, Isabelle, 2012. "Information processing and decision-making: Evidence from the brain sciences and implications for economics," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 292-310.
    20. Paul M Bays & Ben A Dowding, 2017. "Fidelity of the representation of value in decision-making," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-16, March.

    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:13:y:2022:i:1:d:10.1038_s41467-022-32210-6. 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.