Evidence map›Paper›PMID 36343603›Full record

ReviewAnnual review of physiology2023

Neural Mechanisms That Make Perceptual Decisions Flexible.

Gouki Okazawa, Roozbeh Kiani

Abstract readReview
In one paragraph

Review in Annual review of physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Review
  2. Decoupling Choice from Motor Response Reduces Choice-History Effects.bioRxiv : the preprint server for biology · 2026
    Article
  3. Illusory cold desensitizes touch.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. A neural mechanism for online discovery of latent contexts.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. The geometry of context-dependent biased decisions during learning.bioRxiv : the preprint server for biology · 2026
    Article
  10. Neural mechanisms of flexible perceptual inference.PLoS computational biology · 2025
    Article
  11. Article
  12. No Central Executive? Decision Formation Through Multi-Area Population Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Structure of activity in multiregion recurrent neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Gouki OkazawaCenter for Neural Science, New York University, New York, NY, USA; email: roozbeh@nyu.edu.
Roozbeh KianiCenter for Neural Science, New York University, New York, NY, USA; email: roozbeh@nyu.edu.

Funding

Causal power of cortical neural ensembles: mechanisms and utility for brain perturbationsR01MH127375 · NIMH · NEW YORK UNIVERSITY · PI Roozbeh Kiani, Luca Mazzucato · 2022 to 2026
$3.0M
CRCNS: Neural coding and computation in large ensembles in prefrontal cortexR01MH109180 · NIMH · NEW YORK UNIVERSITY · PI KIANI, ROOZBEH · 2015 to 2018
$939k
NIMH NIH HHS R01 MH109180NIMH NIH HHS R01 MH127375
6 · The paper itself

Abstract

Neural mechanisms of perceptual decision making have been extensively studied in experimental settings that mimic stable environments with repeating stimuli, fixed rules, and payoffs. In contrast, we live in an ever-changing environment and have varying goals and behavioral demands. To accommodate variability, our brain flexibly adjusts decision-making processes depending on context. Here, we review a growing body of research that explores the neural mechanisms underlying this flexibility. We highlight diverse forms of context dependency in decision making implemented through a variety of neural computations. Context-dependent neural activity is observed in a distributed network of brain structures, including posterior parietal, sensory, motor, and subcortical regions, as well as the prefrontal areas classically implicated in cognitive control. We propose that investigating the distributed network underlying flexible decisions is key to advancing our understanding and discuss a path forward for experimental and theoretical investigations.

Indexed as

Brain MappingDecision MakingBrainHumansMagnetic Resonance ImagingReaction Timedecision policydistributed neural networksflexible decision makingsensory-guided behaviorstimulus-action mappingtask switch

Identifiers

PMID36343603
PMCPMC10308708

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.