Evidence map›Paper›PMID 30154467›Full record

ArticleNature communications2018

Psychophysical reverse correlation reflects both sensory and decision-making processes.

Gouki Okazawa, Long Sha, Braden A Purcell, Roozbeh Kiani

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Spatiotemporal Evidence Accumulation Through Saccadic Sampling for Object Recognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Bayesian confidence in optimal decisions.Psychological review · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Visual Tracking in Amblyopia: A Continuous Psychophysical Approach.Investigative ophthalmology & visual science · 2024
    Article
  19. Article
  20. Sensory and Choice Responses in MT Distinct from Motion Encoding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    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

4 authors.

Gouki OkazawaCenter for Neural Science, New York University, New York, NY, 10003, USA.ORCID http://orcid.org/0000-0002-1134-869X
Long ShaCenter for Neural Science, New York University, New York, NY, 10003, USA.
Braden A PurcellCenter for Neural Science, New York University, New York, NY, 10003, USA.
Roozbeh KianiCenter for Neural Science, New York University, New York, NY, 10003, USA. roozbeh@nyu.edu.ORCID http://orcid.org/0000-0003-0614-6791

Funding

Vision Core Grant- Design and Fabrication ModuleP30EY013079 · NEI · NEW YORK UNIVERSITY · PI MOVSHON, J ANTHONY · 2000 to 2025
$14.2M
CRCNS: Neural coding and computation in large ensembles in prefrontal cortexR01MH109180 · NIMH · NEW YORK UNIVERSITY · PI KIANI, ROOZBEH · 2015 to 2018
$939k
Training a new generation of computational neuroscientists bridging neurobiologyR90DA043849 · NIDA · NEW YORK UNIVERSITY · PI MA, WEI JI, WANG, XIAO-JING · 2016 to 2020
$926k
Alfred P. Sloan Foundation Sloan Research FellowshipsCharles H. Revson Foundation Senior Fellowship in Biomedical ScienceJapan Society for the Promotion of Science (JSPS) JSPS Postdoctoral Fellowship for Research AbroadMcKnight Foundation McKnight Scholar AwardsNEI NIH HHS P30 EY013079NIDA NIH HHS R90 DA043849NIMH NIH HHS R01 MH109180Simons Foundation Simons Collaboration on the Global BrainU.S. Department of Health & Human Services | National Institutes of Health (NIH) R01-MH109180U.S. Department of Health & Human Services | National Institutes of Health (NIH) R90-1R90DA043849
6 · The paper itself

Abstract

Goal-directed behavior depends on both sensory mechanisms that gather information from the outside world and decision-making mechanisms that select appropriate behavior based on that sensory information. Psychophysical reverse correlation is commonly used to quantify how fluctuations of sensory stimuli influence behavior and is generally believed to uncover the spatiotemporal weighting functions of sensory processes. Here we show that reverse correlations also reflect decision-making processes and can deviate significantly from the true sensory filters. Specifically, changes of decision bound and mechanisms of evidence integration systematically alter psychophysical reverse correlations. Similarly, trial-to-trial variability of sensory and motor delays and decision times causes systematic distortions in psychophysical kernels that should not be attributed to sensory mechanisms. We show that ignoring details of the decision-making process results in misinterpretation of reverse correlations, but proper use of these details turns reverse correlation into a powerful method for studying both sensory and decision-making mechanisms.

Indexed as

Decision MakingAuditory PerceptionCognitionHumansModels, NeurologicalPsychomotor PerformancePsychophysics

Identifiers

PMID30154467
PMCPMC6113286

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Registered trials

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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.