Evidence map›Paper›PMID 35132235›Full record

ArticleNature neuroscience2022

Mice alternate between discrete strategies during perceptual decision-making.

Zoe C Ashwood, Nicholas A Roy, Iris R Stone, International Brain Laboratory, Anne E Urai, Anne K Churchland, Alexandre Pouget, Jonathan W Pillow

Abstract read
In one paragraph

Article in Nature neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers.

0numbers the graph read from it
0cells of the map it votes in
145citing 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

145 citing papers in PubMed.

  1. Neural and autonomic predictors of future listening errors.bioRxiv : the preprint server for biology · 2026
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  7. Ecological Visual Processing in the Mouse.Annual review of neuroscience · 2026
    Review
  8. Article
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  10. Addressing degeneracy in rodent studies of cognition.Current opinion in neurobiology · 2026
    Review
  11. Article
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  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Building Goal-Directed Cognitive Graphs.bioRxiv : the preprint server for biology · 2026
    Article

85 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Zoe C AshwoodDeptartment of Computer Science, Princeton University, Princeton, NJ, USA. zashwood@princeton.edu.ORCID http://orcid.org/0000-0003-2983-8854
Nicholas A RoyPrinceton Neuroscience Institute, Princeton, NJ, USA.
Iris R StonePrinceton Neuroscience Institute, Princeton, NJ, USA.ORCID http://orcid.org/0000-0001-8707-5862
International Brain Laboratory
Anne E UraiCognitive Psychology Unit, Leiden University, Leiden, Netherlands.ORCID http://orcid.org/0000-0001-5270-6513
Anne K ChurchlandDavid Geffen School of Medicine, The University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-3205-3794
Alexandre PougetFaculty of Medicine & Deptartment of Basic Neurosciences, University of Geneva, Geneva, Switzerland.ORCID http://orcid.org/0000-0003-3054-6365
Jonathan W PillowPrinceton Neuroscience Institute, Princeton, NJ, USA. jwpillow@princeton.edu.ORCID http://orcid.org/0000-0002-3638-8831

Funding

State-dependent Decision-making in Brainwide Neural CircuitsU19NS123716 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI ZADOR, ANTHONY M · 2021 to 2025
$18.2M
Subcortical Neural Coding and DynamicsU19NS104648 · NINDS · PRINCETON UNIVERSITY · PI SEUNG, HYUNJUNE SEBASTIAN · 2017 to 2021
$15.3M
The role of parietal cortex in multisensory decision-makingR01EY022979 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANNE KATHRYN CHURCHLAND · 2013 to 2026
$5.7M
Dissecting Sensorimotor Pathways Underlying Social Interactions: Models, Circuits, and BehaviorR01NS104899 · NINDS · PRINCETON UNIVERSITY · PI BIALEK, WILLIAM, MURTHY, MALA · 2018 to 2022
$2.4M
Real-time statistical algorithms for controlling neural dynamics and behaviorR01EB026946 · NIBIB · STATE UNIVERSITY NEW YORK STONY BROOK · PI PARK, IL MEMMING, PILLOW, JONATHAN WILLIAM · 2018 to 2020
$1.1M
Adaptive statistical algorithms for learning and control of neural dynamicsRF1DA056404 · NIDA · PRINCETON UNIVERSITY · PI PARK, IL MEMMING, PILLOW, JONATHAN WILLIAM · 2022 to 2022
$969k
NEI NIH HHS R01 EY022979NIBIB NIH HHS R01 EB026946NIDA NIH HHS RF1 DA056404NINDS NIH HHS R01 NS104899NINDS NIH HHS U19 NS104648NINDS NIH HHS U19 NS123716Wellcome TrustWellcome Trust 209558Wellcome Trust 216324
6 · The paper itself

Abstract

Classical models of perceptual decision-making assume that subjects use a single, consistent strategy to form decisions, or that decision-making strategies evolve slowly over time. Here we present new analyses suggesting that this common view is incorrect. We analyzed data from mouse and human decision-making experiments and found that choice behavior relies on an interplay among multiple interleaved strategies. These strategies, characterized by states in a hidden Markov model, persist for tens to hundreds of trials before switching, and often switch multiple times within a session. The identified decision-making strategies were highly consistent across mice and comprised a single 'engaged' state, in which decisions relied heavily on the sensory stimulus, and several biased states in which errors frequently occurred. These results provide a powerful alternate explanation for 'lapses' often observed in rodent behavioral experiments, and suggest that standard measures of performance mask the presence of major changes in strategy across trials.

Indexed as

Choice BehaviorDecision MakingAnimalsHumansMice

Identifiers

PMID35132235
PMCPMC8890994

What OpenQuestion holds

Textmetadata
LicenceTDM
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.