Evidence map›Paper›PMID 23416867›Full record

ArticleVision research2013

Inconsistent channel bandwidth estimates suggest winner-take-all nonlinearity in second-order vision.

Zachary M Westrick, Christopher A Henry, Michael S Landy

Abstract read
In one paragraph

Article in Vision research, 2013. 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. 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

3 authors.

Zachary M WestrickDepartment of Psychology, New York University, USA.
Christopher A Henry
Michael S Landy

Funding

SHAPE REPRESENTATION AND MULTIPLE DEPTH CUESR01EY008266 · NEI · NEW YORK UNIVERSITY · PI MICHAEL S LANDY · 1989 to 2026
$7.7M
TRAINING IN VISUAL NEUROSCIENCET32EY007136 · NEI · NEW YORK UNIVERSITY · PI J ANTHONY MOVSHON · 1993 to 2026
$5.3M
Visual Perception and Coding of TextureR01EY016165 · NEI · NEW YORK UNIVERSITY · PI LANDY, MICHAEL S · 2005 to 2008
$1.4M
NEI NIH HHS EY08266NEI NIH HHS EY16165NEI NIH HHS R01 EY008266NEI NIH HHS R01 EY016165NEI NIH HHS T32 EY007136
6 · The paper itself

Abstract

The processing of texture patterns has been characterized by a model that postulates a first-stage linear filter to highlight a component texture, a pointwise rectification stage to convert contrast for the highlighted texture into mean response strength, followed by a second-stage linear filter to detect the texture-defined pattern. We estimated the spatial-frequency bandwidth of the second-stage filter mediating orientation discrimination of orientation-modulated second-order gratings by measuring threshold elevation in the presence of filtered noise added to the modulation signal. This experiment yielded no evidence for frequency tuning. A second experiment, in which subjects had to detect similar second-order gratings while judging their modulation frequency, produced bandwidth estimates of 1-1.5 octaves, similar to estimated bandwidths of first-order channels. We propose that an additional dominant-response-selection nonlinearity can account for these apparently contradictory results.

Indexed as

Contrast SensitivityHumansPattern Recognition, VisualPerceptual MaskingPhotic StimulationSensory Thresholds

Identifiers

PMID23416867
PMCPMC3602150

What OpenQuestion holds

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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.