The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
The time course of visual processing: Backward masking and natural scene categorisation
Open accessAbstract
Human observers are very good at deciding whether briefly flashed novel images contain an animal and previous work has shown that the underlying visual processing can be performed in under 150 ms. Here we used a masking paradigm to determine how information accumulates over time during such high-level categorisation tasks. As the delay between test image and mask is increased, both behavioural accuracy and differential ERP amplitude rapidly increase to reach asymptotic levels around 40-60 ms. Such results imply that processing at each stage in the visual system is remarkably rapid, with information accumulating almost continuously following the onset of activation.
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“A well established experiment is an animal- vs. non-animal-recognition task (30-34).”
From A feedforward architecture accounts for rapid categorization (2007) · cites this paper as [31]
In the citing paper
“Thus, a natural paradigm for comparing the performance of human observers in an object-recognition task to that of a feedforward model of visual processing is ultra rapid categorization, a task for which back projections are likely to be inactive (30, 31).”
From A feedforward architecture accounts for rapid categorization (2007) · cites this paper as [31]
In the citing paper
“It was found (31) that increasing the SOA on a similar animalvs. non-animalcategorization task above 44 ms only has a minor effect on performance (accuracy scores for longer SOA conditions were not significantly different).”
From A feedforward architecture accounts for rapid categorization (2007) · cites this paper as [31]
In the citing paper
“The accuracy of the human observers is well within the range of data previously obtained with go/no-go tasks on similar tasks (30, 31, 33).”
From A feedforward architecture accounts for rapid categorization (2007) · cites this paper as [31]
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Citations
Cites
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Self-citationTowards a cognitive neuroscience of consciousness: basic evidence and a workspace framework
Dehaene, S. (2001) · Cognition · doi:10.1016/s0010-0277(00)00123-2 · Cited by 2,498 · cited 2×
“Nevertheless, there are reports of a correlation between the ability to detect or to name objects and the activation in occipital regions (Dehaene & Naccache, 2001; Grill-Spector, Kushnir, Hendler, & Malach, 2000; Vanni, Revonsuo, Saarinen, & Hari, 1996).”
BackgroundThe distinct modes of vision offered by feedforward and recurrent processing
Lamme, V. A. F., & Roelfsema, P. R. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01657-x · Cited by 2,338 · cited 1×
“Moreover, subjects often reported that they released the button without explicit understanding of the photograph, which is in accordance with the common idea that feedback processing may be crucial for conscious image perception (Bullier, 2001; Lamme & Roelfsema, 2000; Pascual-Leone & Walsh, 2001).”
ResultObject-related activity revealed by functional magnetic resonance imaging in human occipital cortex.
Malach, R., Reppas, J. B., Benson, R. R., Kwong, K. K., Jiang, H., Kennedy, W. A., Ledden, P. J., Brady, T. J., Rosen, B. R., & Tootell, R. B. H. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.18.8135 · Cited by 1,761
The Handbook of brain theory and neural networks
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A relationship between behavioral choice and the visual responses of neurons in macaque MT
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Activity changes in early visual cortex reflect monkeys' percepts during binocular rivalry
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Torralba, A. B., Oliva, A., Castelhano, M. S., & Henderson, J. M. (2006) · Psychological Review · doi:10.1037/0033-295x.113.4.766 · Cited by 1,696
The ventral visual pathway: an expanded neural framework for the processing of object quality
Kravitz, D. J., Saleem, K. S., Baker, C. I., Ungerleider, L. G., & Mishkin, M. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.011 · Cited by 1,204
Peripheral vision and pattern recognition: A review
Strasburger, H., Rentschler, I., & Jüttner, M. (2011) · Journal of Vision · doi:10.1167/11.5.13 · Cited by 1,001
A feedforward architecture accounts for rapid categorization
Serre, T., Oliva, A., & Poggio, T. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700622104 · Cited by 918
The Neural Correlates of Consciousness: An Update
Tononi, G., & Koch, C. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.004 · Cited by 627
Metadata
- Authors
- Bacon-Macé, N., Macé, M. J.-M., Fabre-Thorpe, M., & Thorpe, S. J.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Bacon-Macé, Nadège
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 2005-05
- Volume
- 45
- Issue
- 11
- Pages
- 1459-1469
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2135566527
- Cited by
- 236
- References
- 54
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 11 · 2023: 7 · 2022: 6 · 2021: 10 · 2020: 8 · 2019: 19 · 2018: 6 · 2017: 7 · 2016: 8 · 2015: 18 · 2014: 8 · 2013: 15 · 2012: 14
- FWCI
- 6.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Vision Research (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- Centre National de la Recherche Scientifique
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- backward masking, event-related potentials, information accumulation, rapid visual processing, animal recognition
- MeSH terms
- Adult, Discrimination, Psychological, Electroencephalography, Female, Humans, Male, Middle Aged, Perceptual Masking, Psychophysics, Reaction Time, Sensitivity and Specificity, Visual Pathways, Visual Perception, Chi-Square Distribution, Case-Control Studies, Statistics, Nonparametric
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