The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The flight path of the phoenix—The visible trace of invisible elements in human vision
Open accessAbstract
How features are attributed to objects is one of the most puzzling issues in the neurosciences. A deeply entrenched view is that features are perceived at the locations where they are presented. Here, we show that features in motion displays can be systematically attributed from one location to another although the elements possessing the features are invisible. Furthermore, features can be integrated across locations. Feature mislocalizations are usually treated as errors and limits of the visual system. On the contrary, we show that the nonretinotopic feature attributions, reported herein, follow rules of grouping precisely suggesting that they reflect a fundamental computational strategy and not errors of visual processing.
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Features of unconscious elements can be visible at other consciously perceived elements, presented at different times and locations.
“Even more surprisingly, features of unconscious elements can be visible at other consciously perceived elements, presented at di ff erent times and locations (Nishida et al., 2007; Otto et al., 2006).”
From Hard criteria for empirical theories of consciousness (2021) · cites this paper as Otto et al., 2006
Otto et al. (2006) used masking to render a target unconscious and showed that features of this unconscious masked target can be perceived consciously as features of unmasked elements presented later and at different spatial locations.
“For example, Otto et al. (2006) used masking to render a target unconscious. They showed that features of this unconscious masked target can be perceived consciously as features of unmasked elements presented later and at di ff erent spatial locations.”
From Hard criteria for empirical theories of consciousness (2021) · cites this paper as Otto et al. (2006)
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Why visual attention and awareness are different
Lamme, V. A. F. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(02)00013-x · Cited by 1,172
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Hard criteria for empirical theories of consciousness
Doerig, A., Schurger, A., & Herzog, M. H. (2021) · Cognitive Neuroscience · doi:10.1080/17588928.2020.1772214 · Cited by 194
“Even more surprisingly, features of unconscious elements can be visible at other consciously perceived elements, presented at different times and locations (Nishida et al., 2007; Otto et al., 2006).”
BackgroundMethodSelf-citationConsciousness as a memory system.
Budson, A. E., Richman, K. A., & Kensinger, E. A. (2022) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0000000000000319 · Cited by 66
Metadata
- Authors
- Otto, T. U., Ögmen, H., & Herzog, M. H.
- Affiliations
- École Polytechnique Fédérale de Lausanne (CH)
- ORCID
- Herzog, Michael H.
- Venue
- Journal of Vision
- Published
- 2006-09-22
- Volume
- 6
- Issue
- 10
- Pages
- 7
- ISSN
- 1534-7362 (ISSN-L)
- OpenAlex
- W1975506647
- Cited by
- 80
- References
- 1
- Citations by year
- 2026: 1 · 2024: 5 · 2023: 3 · 2022: 1 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 1 · 2017: 3 · 2016: 3 · 2015: 7 · 2014: 6 · 2013: 2 · 2012: 6
- FWCI
- 3.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Vision (publishedVersion)
- PubMed (publishedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Funders
- Foundation for the National Institutes of Health
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- National Institute of Mental Health (R01MH049892, R01 MH49892)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Keywords
- feature attribution, feature integration, visual grouping, object recognition
- MeSH terms
- Attention, Humans, Motion Perception, Optical Illusions, Photic Stimulation, Visual Perception, Contrast Sensitivity
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