Cited by 503Visual perception and processing mechanismsAesthetic Perception and AnalysisTactile and Sensory Interactions

Subjective contours.

Kanizsa, Gaetano·1976·Scientific American

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Crossref · 10.1038/scientificamerican0476-48

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  • Preliminary positive results were obtained modeling the subjective contour effect in visual inference using these circuits.

    “In this section, we report some preliminary positive results that we obtained modeling the subjective contour effect in visual inference [63] using these circuits.”

    From Towards a mathematical theory of cortical micro-circuits (2009) · cites this paper as [63]

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Authors
Kanizsa, G.
Corresponding author
Kanizsa, Gaetano
Venue
Scientific American
Published
1976-04
Volume
234
Issue
4
Pages
48-52
ISSN
0036-8733 (ISSN-L)
OpenAlex
W4251427381
Cited by
503
References
0
Citations by year
2026: 19 · 2025: 15 · 2024: 13 · 2023: 17 · 2022: 15 · 2021: 16 · 2020: 17 · 2019: 21 · 2018: 16 · 2017: 14 · 2016: 13 · 2015: 17 · 2014: 21 · 2013: 14 · 2012: 12
FWCI
3.95
Type
journal article
Language
en
Open access
closed
Locations
  • Scientific American (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Aesthetic Perception and Analysis
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
Keywords
illusory contours, visual perception, figure-ground perception, depth perception
MeSH terms
Form Perception, Humans, Illusions, Optical Illusions

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.

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