The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
A Limit to the Speed of Processing in Ultra-Rapid Visual Categorization of Novel Natural Scenes
Abstract
The processing required to decide whether a briefly flashed natural scene contains an animal can be achieved in 150 msec (Thorpe, Fize, & Marlot, 1996). Here we report that extensive training with a subset of photographs over a 3-week period failed to increase the speed of the processing underlying such Rapid Visual Categorizations: Completely novel scenes could be categorized just as fast as highly familiar ones. Such data imply that the visual system processes new stimuli at a speed and with a number of stages that cannot be compressed. This rapid processing mode was seen with a wide range of visual complex images, challenging the idea that short reaction times can only be seen with simple visual stimuli and implying that highly automatic feed-forward mechanisms underlie a far greater proportion of the sophisticated image analysis needed for everyday vision than is generally assumed.
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Cites
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Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex
Luck, S. J., Chelazzi, L., Hillyard, S. A., & Desimone, R. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.77.1.24 · Cited by 1,615
Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons
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From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition
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Visual attention mediated by biased competition in extrastriate visual cortex
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Cited by
Seeing it all: Convolutional network layers map the function of the human visual system
Eickenberg, M., Gramfort, A., Varoquaux, G., & Thirion, B. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.001 · Cited by 338
Grounding cognitive control in associative learning
Abrahamse, E., Braem, S., Notebaert, W., & Verguts, T. (2016) · Psychological Bulletin · doi:10.1037/bul0000047 · Cited by 276
Perception of Objects in Natural Scenes: Is It Really Attention Free?
Evans, K. K., & Treisman, A. (2005) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.31.6.1476 · Cited by 281
Fellous, J.-M., Rudolph, M., Destexhe, A., & Sejnowski, T. J. (2003) · Neuroscience · doi:10.1016/j.neuroscience.2003.08.027 · Cited by 273
The time course of visual processing: Backward masking and natural scene categorisation
Bacon-Macé, N., Macé, M. J.-M., Fabre-Thorpe, M., & Thorpe, S. J. (2005) · Vision Research · doi:10.1016/j.visres.2005.01.004 · Cited by 236
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Metadata
- Authors
- Fabre-Thorpe, M., Delorme, A., Marlot, C., & Thorpe, S.
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 2001-02
- Volume
- 13
- Issue
- 2
- Pages
- 171-180
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2045063000
- Cited by
- 339
- References
- 9
- FWCI
- 6.18
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
