Evidence map›Paper›PMID 37140191›Full record

ArticleeLife2023

Temporal integration is a robust feature of perceptual decisions.

Alexandre Hyafil, Jaime de la Rocha, Cristina Pericas, Leor N Katz, Alexander C Huk, Jonathan W Pillow

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.3field-weighted citation impact, top 2% of its field
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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Addressing degeneracy in rodent studies of cognition.Current opinion in neurobiology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Temporal order judgment of multisensory stimuli in rat and human.Frontiers in behavioral neuroscience · 2022
    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

6 authors at 4 institutions in 3 countries.

Alexandre HyafilCentre de Recerca Matemàtica, Bellaterra, Spain.ORCID 0000-0002-0566-651X
Jaime de la RochaInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, United States.ORCID 0000-0002-3314-9384
Cristina PericasInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, United States.
Leor N KatzLaboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, United States.ORCID 0000-0002-2742-6533
Alexander C HukFuster Laboratory for Cognitive Neuroscience, Departments of Psychiatry & Biobehavioral Sciences and Ophthalmology, UCLA, Los Angeles, United States.ORCID 0000-0003-1430-6935
Jonathan W PillowPrinceton Neuroscience Institute, Princeton University, Princeton, United States.ORCID 0000-0002-3638-8831
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESPrinceton University · USNational Institutes of Health · USNeurobehavioral Systems · US

Funding

Neural time-integration underlying higher cognitive functionR01EY017366 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI HUK, ALEXANDER C, PILLOW, JONATHAN WILLIAM · 2008 to 2016
$2.9M
Dissecting Sensorimotor Pathways Underlying Social Interactions: Models, Circuits, and BehaviorR01NS104899 · NINDS · PRINCETON UNIVERSITY · PI BIALEK, WILLIAM, MURTHY, MALA · 2018 to 2022
$2.4M
NEI NIH HHS R01 EY017366NINDS NIH HHS R01 NS104899
6 · The paper itself

Abstract

Making informed decisions in noisy environments requires integrating sensory information over time. However, recent work has suggested that it may be difficult to determine whether an animal's decision-making strategy relies on evidence integration or not. In particular, strategies based on extrema-detection or random snapshots of the evidence stream may be difficult or even impossible to distinguish from classic evidence integration. Moreover, such non-integration strategies might be surprisingly common in experiments that aimed to study decisions based on integration. To determine whether temporal integration is central to perceptual decision-making, we developed a new model-based approach for comparing temporal integration against alternative 'non-integration' strategies for tasks in which the sensory signal is composed of discrete stimulus samples. We applied these methods to behavioral data from monkeys, rats, and humans performing a variety of sensory decision-making tasks. In all species and tasks, we found converging evidence in favor of temporal integration. First, in all observers across studies, the integration model better accounted for standard behavioral statistics such as psychometric curves and psychophysical kernels. Second, we found that sensory samples with large evidence do not contribute disproportionately to subject choices, as predicted by an extrema-detection strategy. Finally, we provide a direct confirmation of temporal integration by showing that the sum of both early and late evidence contributed to observer decisions. Overall, our results provide experimental evidence suggesting that temporal integration is an ubiquitous feature in mammalian perceptual decision-making. Our study also highlights the benefits of using experimental paradigms where the temporal stream of sensory evidence is controlled explicitly by the experimenter, and known precisely by the analyst, to characterize the temporal properties of the decision process.

Indexed as

Decision MakingDiscrimination, PsychologicalAnimalsHaplorhiniHumansMammalsPsychometricsRatsaccumulation of evidencedecision-makinghumanmotion perceptionneuroscienceratrhesus macaque

Identifiers

PMID37140191
PMCPMC10205084
OpenAlexW4368356086

What OpenQuestion holds

Textmetadata
LicenceCC0
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.