Evidence map›Paper›PMID 32864535›Full record

ArticleCurrent opinion in physiology2020

Interpreting temporal dynamics during sensory decision-making.

Aaron J Levi, Alexander C Huk

Abstract read
In one paragraph

Article in Current opinion in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Aaron J LeviCenter for Perceptual Systems, Departments of Neuroscience & Psychology, The University of Texas at Austin 78712.
Alexander C HukCenter for Perceptual Systems, Departments of Neuroscience & Psychology, The University of Texas at Austin 78712.

Funding

PRE-DOCTORAL TRAINING IN INTERDISCIPLINARY NEUROSCIENCET32DA018926 · NIDA · UNIVERSITY OF TEXAS AUSTIN · PI Nace L Golding, AMY LEE · 2004 to 2026
$5.6M
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
CPS Training ProgramT32EY021462 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI Mary M Hayhoe, Alexander C Huk · 2012 to 2026
$2.5M
NEI NIH HHS R01 EY017366NEI NIH HHS T32 EY021462NIDA NIH HHS T32 DA018926
6 · The paper itself

Abstract

Perceptual decisions are informed by the accumulation of sensory evidence over time, but the form of this fundamental temporal computation is not fully understood. Characterizations of the temporal integration of sensory stimuli in behavior and neural activity are usually conceived with separate stages for sensory encoding and downstream integration for accumulating the sensory evidence. Sensory and decision stages can each have their own temporal dynamics that affect the time course of perception and action. Here, we discuss recent work using temporal signatures of behavior in the context of traditional two-stage models. This discussion highlights shortcomings of two stage sensory/decision frameworks, points towards how modern techniques can provide more realistic characterizations of temporal integration, and in turn motivates a richer philosophical framework for building models of how sensory data might be interpreted by the brain to produce actions.

Indexed as

computational modelsdecision makingsensory processingvision

Identifiers

PMID32864535
PMCPMC7455029

What OpenQuestion holds

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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.