Cited by 497Visual perception and processing mechanismsVisual Attention and Saliency DetectionFace Recognition and Perception

Attentional control of early perceptual learning.

Open access
Ahissar, M, Hochstein, S·1993·Proceedings of the National Academy of Sciences

Abstract

The performance of adult humans in simple visual tasks improves dramatically with practice. This improvement is highly specific to basic attributes of the trained stimulus, suggesting that the underlying changes occur at low-level processing stages in the brain, where different orientations and spatial frequencies are handled by separate channels. We asked whether these practice effects are determined solely by activity in stimulus-driven mechanisms or whether high-level attentional mechanisms, which are linked to the perceptual task, might control the learning process. We found that practicing one task did not improve performance in an alternative task, even though both tasks used exactly the same visual stimuli but depended on different stimulus attributes (either orientation of local elements or global shape). Moreover, even when the experiment was designed so that the same responses were associated with the same stimuli (although subjects were instructed to attend to the attribute underlying one task), learning did not transfer from one task to the other. These results suggest that specific high-level attentional mechanisms, controlling changes at early visual processing levels, are essential in perceptual learning.

Integrity signals

Registry

Crossref · 10.1073/pnas.90.12.5718

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

The text we found for this paper looks like another document, so its claims and self-check weren’t run. The registry and citation checks still apply.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The text we found for this paper looks like another document, so the self-check wasn’t run.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ahissar, M., & Hochstein, S.
Affiliations
Hebrew University of Jerusalem (IL)
Venue
Proceedings of the National Academy of Sciences
Published
1993-06-15
Volume
90
Issue
12
Pages
5718-5722
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2073800390
Cited by
497
References
29
Citations by year
2026: 3 · 2025: 9 · 2024: 9 · 2023: 11 · 2022: 13 · 2021: 17 · 2020: 21 · 2019: 10 · 2018: 16 · 2017: 13 · 2016: 23 · 2015: 19 · 2014: 22 · 2013: 23 · 2012: 33
FWCI
4.47
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Israel Academy of Sciences and Humanities
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Keywords
perceptual learning, attention, visual attention, task-specific learning, transfer of learning, orientation discrimination, early visual processing, practice effects
MeSH terms
Adult, Attention, Brain, Humans, Learning, Orientation, Space Perception, Visual Perception

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review