دورية أكاديمية

Image content is more important than Bouma's Law for scene metamers.

التفاصيل البيبلوغرافية
العنوان: Image content is more important than Bouma's Law for scene metamers.
المؤلفون: Wallis TS; Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, Tübingen, Germany.; Bernstein Center for Computational Neuroscience, Berlin, Germany., Funke CM; Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, Tübingen, Germany.; Bernstein Center for Computational Neuroscience, Berlin, Germany., Ecker AS; Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, Tübingen, Germany.; Bernstein Center for Computational Neuroscience, Berlin, Germany.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, United States.; Institute for Theoretical Physics, Eberhard Karls Universität Tübingen, Tübingen, Germany., Gatys LA; Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, Tübingen, Germany., Wichmann FA; Neural Information Processing Group, Faculty of Science, Eberhard Karls Universität Tübingen, Tübingen, Germany., Bethge M; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, United States.; Institute for Theoretical Physics, Eberhard Karls Universität Tübingen, Tübingen, Germany.; Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
المصدر: ELife [Elife] 2019 Apr 30; Vol. 8. Date of Electronic Publication: 2019 Apr 30.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Cambridge, UK : eLife Sciences Publications, Ltd., 2012-
مواضيع طبية MeSH: Pattern Recognition, Visual/*physiology , Visual Fields/*physiology , Visual Perception/*physiology, Crowding/psychology ; Discrimination, Psychological ; Fixation, Ocular/physiology ; Humans ; Perceptual Masking ; Photic Stimulation ; Space Perception/physiology
مستخلص: We subjectively perceive our visual field with high fidelity, yet peripheral distortions can go unnoticed and peripheral objects can be difficult to identify (crowding). Prior work showed that humans could not discriminate images synthesised to match the responses of a mid-level ventral visual stream model when information was averaged in receptive fields with a scaling of about half their retinal eccentricity. This result implicated ventral visual area V2, approximated 'Bouma's Law' of crowding, and has subsequently been interpreted as a link between crowding zones, receptive field scaling, and our perceptual experience. However, this experiment never assessed natural images. We find that humans can easily discriminate real and model-generated images at V2 scaling, requiring scales at least as small as V1 receptive fields to generate metamers. We speculate that explaining why scenes look as they do may require incorporating segmentation and global organisational constraints in addition to local pooling.
Competing Interests: TW, CF, AE, FW, MB No competing interests declared, LG This author now works for Apple, Inc. The author's contributions to this article were prior to commencing employment at Apple.
(© 2019, Wallis et al.)
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معلومات مُعتمدة: FKZ: 01GQ1002 International Bundesministerium für Bildung und Forschung; BE 3848/2-1 International Deutsche Forschungsgemeinschaft; Priority program 1527 International Deutsche Forschungsgemeinschaft; 276693517; SFB 1233 International Deutsche Forschungsgemeinschaft; Thomas Wallis International Alexander von Humboldt-Stiftung
فهرسة مساهمة: Keywords: crowding; human; neuroscience; scene appearance; texture perception; visual perception
تواريخ الأحداث: Date Created: 20190501 Date Completed: 20200304 Latest Revision: 20210109
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC6491040
DOI: 10.7554/eLife.42512
PMID: 31038458
قاعدة البيانات: MEDLINE
الوصف
تدمد:2050-084X
DOI:10.7554/eLife.42512