Abstract
A tight temporal coupling between object detection (is an object there?) and object categorization (what kind of object is it?) has recently been reported (Grill-Spector & Kanwisher, 2005), suggesting that image segmentation into different objects and categorization of those objects at the basic level may be the very same mechanism. In the present work, we decoupled the time course of detection and categorization through two task manipulations. First, inverted objects were categorized significantly less accurately than upright objects across a range of image presentation durations, but no significant effect on object detection was observed. Second, systematically degrading stimuli affected categorization significantly more than object detection. The time course of object detection and object categorization can be selectively manipulated. They are not intrinsically linked. As soon as you know an object is there, you do not necessarily know what it is.
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Breitmeyer, B. G., & Ogmen, H. (2000). Recent models and findings in visual backward masking: A comparison, review, and update. Perception & Psychophysics, 62, 1572–1595.
Grill-Spector, K., & Kanwisher, N. (2005). Visual recognition: As soon as you know it is there, you know what it is. Psychological Science, 16, 152–160.
Jolicoeur, P., Gluck, M. A., & Kosslyn, S. M. (1984). Pictures and names: Making the connection. Cognitive Psychology, 16, 243–275.
Keysers, C., Xiao, D. K., Foldiak, P., & Perrett, D. I. (2001). The speed of sight. Journal of Cognitive Neuroscience, 13, 90–101.
Lamberts, K. (2000). Information-accumulation theory of speeded categorization. Psychological Review, 107, 227–260.
Mack, M. L., Wong, A. C.-N., Gauthier, I., Tanaka, J. W., & Palmeri, T. J. (2007). Unraveling the time course of perceptual categorization: Does fastest mean first? In D. S. McNamara & J. G. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society (pp. 1253–1258). Mahwah, NJ: Erlbaum.
Nakayama, K., He, Z. J., & Shimojo, S. (Eds.) (1995). Visual surface representation: A critical link between lower-level and higher-level vision. Cambridge, MA: MIT Press.
Nosofsky, R. M., & Kruschke, J. K. (1992). Investigations of an exemplar-based connectionist model of category learning. In D. L. Medin (Ed.), The psychology of learning and motivation (Vol. 28, pp. 207–250). San Diego: Academic Press.
Nosofsky, R. M., & Palmeri, T. J. (1997). An exemplar-based random walk model of speeded classification. Psychological Review, 104, 266–300.
Oliva, A., & Schyns, P. G. (1997). Coarse blobs or fine edges? Evidence that information diagnosticity changes the perception of complex visual stimuli. Cognitive Psychology, 34, 72–107.
Palmeri, T. J., Wong, A. C.-N., & Gauthier, I. (2004). Computational approaches to the development of perceptual expertise. Trends in Cognitive Sciences, 8, 378–386.
Peterson, M. A., & Gibson, B. S. (1993). Shape recognition inputs to figure-ground organization in three-dimensional grounds. Cognitive Psychology, 25, 383–429.
Peterson, M. A., & Gibson, B. S. (1994). Must figure-ground organization precede object recognition? An assumption in peril. Psychological Science, 5, 253–259.
Riesenhuber, M., & Poggio, T. (1999). Hierarchical models of object recognition in cortex. Nature Neuroscience, 2, 1019–1025.
Rosch, E., Mervis, C. B., Gray, W. D., Johnson, D. M., & Boyes-Braem, P. (1976). Basic objects in natural categories. Cognitive Psychology, 8, 382–439.
Rousselet, G. A., Macé, M. J.-M., & Fabre-Thorpe, M. (2003). Is it an animal? Is it a human face? Fast processing in upright and inverted natural scenes. Journal of Vision, 3, 440–455.
Sadr, J., & Sinha, P. (2004). Object recognition and random image structure evolution. Cognitive Science, 28, 259–287.
Tanaka, J. W., & Taylor, M. (1991). Object categories and expertise: Is the basic level in the eye of the beholder? Cognitive Psychology, 23, 457–482.
Thorpe, S. J., & Fabre-Thorpe, M. (2001). Perspectives: Neuroscience-Seeking categories in the brain. Science, 291, 260–263.
Tong, M. H., Joyce, C. A., & Cottrell, G. W. (2005). Are Greebles special? Or, why the fusiform fish area would be recruited for sword expertise (if we had one). In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 2196–2201). Mahwah, NJ: Erlbaum.
Yin, R. K. (1969). Looking at upside-down faces. Journal of Experimental Psychology, 81, 141–145.
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This research was supported by a grant from the James S. McDonnell Foundation, NSF Grant HSD-DHBS05, the Temporal Dynamics of Learning Center funded by NSF Grant SBE-0542013, and NIH Grant EY13441.
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Mack, M.L., Gauthier, I., Sadr, J. et al. Object detection and basic-level categorization: Sometimes you know it is there before you know what it is. Psychonomic Bulletin & Review 15, 28–35 (2008). https://doi.org/10.3758/PBR.15.1.28
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DOI: https://doi.org/10.3758/PBR.15.1.28