A need for more information uptake but not focused attention to access basic-level representations

Journal of Vision

Volumn 12, Issue 1, 2012, Pages 1-16

  Poncet, Marlene ^a,b   Reddy, Leila ^a   Fabre Thorpe, Michele ^a  

^a Brain and Cognition Research Center in Toulouse   (France)

^b UNIVERSITÉ TOULOUSE JEAN JAURÈS   (France)

Author keywords

Attention; Basic level categorization; Dual task; Natural scenes; Pre attentive recognition; Superordinate level categorization

Indexed keywords

ADULT; ARTICLE; ATTENTION; CONDITIONING; FEMALE; HUMAN; MALE; METHODOLOGY; NERVE CELL NETWORK; PATTERN RECOGNITION; PERCEPTIVE DISCRIMINATION; PHOTOSTIMULATION; PHYSIOLOGY; YOUNG ADULT;

ADULT; ATTENTION; CONDITIONING (PSYCHOLOGY); DISCRIMINATION (PSYCHOLOGY); FEMALE; FORM PERCEPTION; HUMANS; MALE; NERVE NET; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; YOUNG ADULT;

EID: 84862075330     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/12.1.15     Document Type: Article

References (51)

1. Aguirre, G. K., Zarahn, E., & D'Esposito, M. (1998). An area within human ventral cortex sensitive to " building" stimuli: Evidence and implications. Neuron, 21, 373-383.
2. Ahissar, M., Nahum, M., Nelken, I., & Hochstein, S. (2009). Reverse hierarchies and sensory learning. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 364, 285-299.
3. Bowers, J. S., & Jones, K. W. (2008). Detecting objects is easier than categorizing them. Quarterly Journal of Experimental Psychology, 61, 552-557.
4. Braun, J. (1994). Visual search among items of different salience: Removal of visual attention mimics a lesion in extrastriate area V4. Journal of Neuroscience, 14, 554-567.
5. Braun, J., & Julesz, B. (1998). Withdrawing attention at little or no cost: Detection and discrimination tasks. Perception & Psychophysics, 60, 1-23.
6. Braun, J., & Sagi, D. (1990). Vision outside the focus of attention. Perception & Psychophysics, 48, 45-58.
7. Chao, L. L., Haxby, J. V., & Martin, A. (1999). Attributebased neural substrates in temporal cortex for perceiving and knowing about objects. Nature Neuroscience, 2, 913-919.
8. Cromer, J. A., Roy, J. E., & Miller, E. K. (2010). Representation of multiple, independent categories in the primate prefrontal cortex. Neuron, 66, 796-807.
9. de la Rosa, S., Choudhery, R. N., & Chatziastros, A. (2011). Visual object detection, categorization, and identification tasks are associated with different time courses and sensitivities. Journal of Experimental Psychology: Human Perception and Performance, 37, 38-47.
10. Duncan, J. (1980). The locus of interference in the perception of simultaneous stimuli. Psychological Review, 87, 272-300.
11. Epstein, R., & Kanwisher, N. (1998). A cortical representation of the local visual environment. Nature, 392, 598-601.
12. Fei-Fei, L., Iyer, A., Koch, C., & Perona, P. (2007). What do we perceive in a glance of a real-world scene? Journal of Vision, 7(1):10, 1-29, http://www.journalofvision.org/ content/7/1/10, doi:10.1167/7.1.10.
13. Fei-Fei, L., VanRullen, R., Koch, C., & Perona, P. (2005). Why does natural scene categorization require little attention? Exploring attentional requirements for natural and synthetic stimuli. Visual Cognition, 12, 893-924.
14. Freedman, D. J., & Miller, E. K. (2008). Neural mechanisms of visual categorization: Insights from neurophysiology. Neuroscience and Biobehavioral Reviews, 32, 311-329.
15. Freedman, D. J., Riesenhuber, M., Poggio, T., & Miller, E. K. (2003). A comparison of primate prefrontal and inferior temporal cortices during visual categorization. Journal of Neuroscience, 23, 5235-5246.
16. Gegenfurtner, K. R., & Rieger, J. (2000). Sensory and cognitive contributions of color to the recognition of natural scenes. Current Biology, 10, 805-808.
17. Greene, M. R., & Oliva, A. (2009). The briefest of glances: The time course of natural scene understanding. Psychological Science, 20, 464-472.
18. Grill-Spector, K., & Kanwisher, N. (2005). Visual recognition. Psychological Science, 16, 152-160.
19. Haxby, J. V., Ungerleider, L. G., Clark, V. P., Schouten, J. L., Hoffman, E. A., & Martin, A. (1999). The effect of face inversion on activity in human neural systems for face and object perception. Neuron, 22, 189-199.
20. Joubert, O. R., Fize, D., Rousselet, G. A., & Fabre-Thorpe, M. (2008). Early interference of context congruence on object processing in rapid visual categorization of natural scenes. Journal of Vision, 8(13):11, 1-18, http://www.journalofvision.org/content/8/13/11, doi:10.1167/8.13.11.
21. Joubert, O. R., Rousselet, G. A., Fize, D., & Fabre-Thorpe, M. (2007). Processing scene context: Fast categorization and object interference. Vision Research, 47, 3286-3297.
22. Julesz, B.,&Schumer, R.A. (1981). Early visual perception. Annual Review of Psychology, 32, 575-627.
23. Kahneman, D. (1968). Method, findings, and theory in studies of visual masking. Psychological Bulletin, 70, 404-425.
24. Kanwisher, N., McDermott, J., & Chun, M. M. (1997). The fusiform face area: A module in human extrastriate cortex specialized for face perception. Journal of Neuroscience, 17, 4302-4311.
25. Keysers, C., Xiao, D. K., Foldiak, P., & Perrett, D. I. (2001). The speed of sight. Journal of Cognitive Neuroscience, 13, 90-101.
26. Kreiman, G., Koch, C., & Fried, I. (2000). Categoryspecific visual responses of single neurons in the human medial temporal lobe. Nature Neuroscience, 3, 946-953.
27. Lee, D. K., Koch, C., & Braun, J. (1999). Attentional capacity is undifferentiated: Concurrent discrimination of form, color, and motion. Perception & Psychophysics, 61, 1241-1255.
28. Li, F. F., VanRullen, R., Koch, C., & Perona, P. (2002). Rapid natural scene categorization in the near absence of attention. Proceedings of the National Academy of Sciences of the United States of America, 99, 9596-9601.
29. Mace, M. J., Joubert, O. R., Nespoulous, J. L., & Fabre-Thorpe, M. (2009). The time-course of visual categorizations: You spot the animal faster than the bird. PLoS One, 4, e5927.
30. Mack, M. L., Gauthier, I., Sadr, J., & Palmeri, T. J. (2008). Object detection and basic-level categorization: Sometimes you know it is there before you know what it is. Psychonomic Bulletin & Review, 15, 28-35.
31. Mack, M. L., & Palmeri, T. J. (2010). Decoupling object detection and categorization. Journal of Experimental Psychology: Human Perception and Performance, 36, 1067-1079.
32. Meyers, E. M., Freedman, D. J., Kreiman, G., Miller, E. K., & Poggio, T. (2008). Dynamic population coding of category information in inferior temporal and prefrontal cortex. Journal of Neurophysiology, 100, 1407-1419.
33. Murphy, G. L., & Brownell, H. H. (1985). Category differentiation in object recognition: Typicality constraints on the basic category advantage. Journal of Experimental Psychology: Learning, Memory, and Cognition, 11, 70-84.
34. New, J., Cosmides, L., & Tooby, J. (2007). Categoryspecific attention for animals reflects ancestral priorities, not expertise. Proceedings of the National Academy of Sciences of the United States of America, 104, 16598-16603.
35. Pashler, H. (1994). Dual-task interference in simple tasksVData and theory. Psychological Bulletin, 116, 220-244.
36. Polk, T. A., & Farah, M. J. (1998). The neural development and organization of letter recognition: Evidence from functional neuroimaging, computational modeling, and behavioral studies. Proceedings of the National Academy of Sciences of the United States of America, 95, 847-852.
37. Puce, A., Allison, T., Asgari, M., Gore, J. C., & McCarthy, G. (1996). Differential sensitivity of human visual cortex to faces, letterstrings, and textures: A functional magnetic resonance imaging study. Journal of Neuroscience, 16, 5205-5215.
38. Reddy, L., Wilken, P., & Koch, C. (2004). Face-gender discrimination is possible in the near-absence of attention. Journal of Vision, 4(2):4, 106-117, http://www. journalofvision.org/content/4/2/4, doi:10.1167/4.2.4.
39. Riesenhuber, M., & Poggio, T. (1999). Hierarchical models of object recognition in cortex. Nature Neuroscience, 2, 1019-1025.
40. 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.
41. Rossion, B., & Pourtois, G. (2004). Revisiting Snodgrass and Vanderwart's object pictorial set: The role of surface detail in basic-level object recognition. Perception, 33, 217-236.
42. Rousselet, G. A., Fabre-Thorpe, M., & Thorpe, S. J. (2002). Parallel processing in high-level categorization of natural images. Nature Neuroscience, 5, 629-630.
43. Rousselet, G. A., Thorpe, S. J., & Fabre-Thorpe, M. (2004). Processing of one, two or four natural scenes in humans: The limits of parallelism. Vision Research, 44, 877-894.
44. Russell, B., Torralba, A., Murphy, K., & Freeman, W. (2008). LabelMe: A database and web-based tool for image annotation. International Journal of Computer Vision, 77, 157-173.
45. Serre, T., Oliva, A., & Poggio, T. (2007). A feedforward architecture accounts for rapid categorization. Proceedings of the National Academy of Sciences of the United States of America, 104, 6424-6429.
46. Sugase, Y., Yamane, S., Ueno, S., & Kawano, K. (1999). Global and fine information coded by single neurons in the temporal visual cortex. Nature, 400, 869-873.
47. Thorpe, S., Fize, D., & Marlot, C. (1996). Speed of processing in the human visual system. Nature, 381, 520-522.
48. Treisman, A. M., & Gelade, G. (1980). A featureintegration theory of attention. Cognitive Psychology, 12, 97-136.
49. VanRullen, R. (2009). Binding hardwired versus on-demand feature conjunctions. Visual Cognition, 17, 103-119.
50. VanRullen, R., Reddy, L., & Koch, C. (2004). Visual search and dual tasks reveal two distinct attentional resources. Journal of Cognitive Neuroscience, 16, 4-14.
51. Yip, A. W., & Sinha, P. (2002). Contribution of color to face recognition. Perception, 31, 995-1003.