Evidence map›Paper›PMID 38871463›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2024

A Comparison of Rapid Rule-Learning Strategies in Humans and Monkeys.

Vishwa Goudar, Jeong-Woo Kim, Yue Liu, Adam J O Dede, Michael J Jutras, Ivan Skelin, Michael Ruvalcaba, William Chang, Bhargavi Ram, Adrienne L Fairhall and 4 more

Abstract readComparative Study
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Neural representations of beliefs in a multi-dimensional inference task.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Bridging Species Differences in Rule Switching: How Humans and Monkeys Solve the Same Wisconsin Card Sorting Task.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Vishwa GoudarCenter for Neural Science, New York University, New York 10003.
Jeong-Woo KimCenter for Neural Science, New York University, New York 10003.
Yue LiuCenter for Neural Science, New York University, New York 10003.ORCID 0000-0003-4334-3372
Adam J O DedeDepartment of Physiology and Biophysics, University of Washington, Seattle, Washington 98195.ORCID 0000-0002-3619-4631
Michael J JutrasDepartment of Physiology and Biophysics, University of Washington, Seattle, Washington 98195.
Ivan SkelinDepartment of Neurology, University of California, Davis, California 95616.
Michael RuvalcabaHelen Wills Neuroscience Institute, University of California, Berkeley, California 94720.
William ChangHelen Wills Neuroscience Institute, University of California, Berkeley, California 94720.
Bhargavi RamDepartment of Neurology, University of California, Davis, California 95616.
Adrienne L FairhallDepartment of Physiology and Biophysics, University of Washington, Seattle, Washington 98195.
Jack J LinDepartment of Neurology, University of California, Davis, California 95616.
Robert T KnightHelen Wills Neuroscience Institute, University of California, Berkeley, California 94720.
Elizabeth A BuffaloDepartment of Physiology and Biophysics, University of Washington, Seattle, Washington 98195.ORCID 0000-0001-6326-9187
Xiao-Jing WangCenter for Neural Science, New York University, New York 10003 xjwang@nyu.edu.ORCID 0000-0003-3124-8474

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
National Institute on Aging (NIA) ColonyP51OD011107 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Simon J. Atkinson · 2012 to 2026
$191.5M
Neural circuit theory and trained recurrent network modeling of rapid learningU19NS107609 · NINDS · UNIVERSITY OF WASHINGTON · PI BUFFALO, ELIZABETH A · 2018 to 2022
$12.6M
Recurrent Neual Circuit Basis of Time Integration and Decision MakingR01MH062349 · NIMH · YALE UNIVERSITY · PI WANG, XIAO-JING · 2001 to 2022
$7.2M
Attention, Orientation and the Human Prefrontal CortexR01NS021135 · NINDS · UNIVERSITY OF CALIFORNIA DAVIS · PI Robert Thomas Knight · 1985 to 2026
$6.5M
NIH HHS P51 OD010425NIH HHS P51 OD011107NIMH NIH HHS R01 MH062349NINDS NIH HHS R01 NS021135NINDS NIH HHS U19 NS107609
6 · The paper itself

Abstract

Interspecies comparisons are key to deriving an understanding of the behavioral and neural correlates of human cognition from animal models. We perform a detailed comparison of the strategies of female macaque monkeys to male and female humans on a variant of the Wisconsin Card Sorting Test (WCST), a widely studied and applied task that provides a multiattribute measure of cognitive function and depends on the frontal lobe. WCST performance requires the inference of a rule change given ambiguous feedback. We found that well-trained monkeys infer new rules three times more slowly than minimally instructed humans. Input-dependent hidden Markov model-generalized linear models were fit to their choices, revealing hidden states akin to feature-based attention in both species. Decision processes resembled a win-stay, lose-shift strategy with interspecies similarities as well as key differences. Monkeys and humans both test multiple rule hypotheses over a series of rule-search trials and perform inference-like computations to exclude candidate choice options. We quantitatively show that perseveration, random exploration, and poor sensitivity to negative feedback account for the slower task-switching performance in monkeys.

Indexed as

Macaca mulattaAdultAnimalsChoice BehaviorFemaleHumansLearningMaleReaction TimeSpecies SpecificityYoung Adult

Identifiers

PMID38871463
PMCPMC11236592

What OpenQuestion holds

Textmetadata
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.