Short-term memory for scenes with affective content

Journal of Vision

Volumn 5, Issue 3, 2005, Pages 215-229

  Maljkovic, Vera ^a,c   Martini, Paolo ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b HARVARD UNIVERSITY   (United States)

^c NONE   (United States)

Author keywords

Attention; Emotions; IAPS; Image statistics; RSVP; Visual short term memory

Indexed keywords

ADULT; AFFECT; AROUSAL; ARTICLE; ASSOCIATION; CONTROLLED STUDY; EMOTION; HUMAN; HUMAN EXPERIMENT; MEMORY CONSOLIDATION; RETINA IMAGE; SHORT TERM MEMORY; VELOCITY; VISUAL MEMORY;

ADOLESCENT; ADULT; AROUSAL; ATTENTION; CUES; EMOTIONS; FEMALE; HUMANS; MALE; MEMORY; MENTAL RECALL; PATTERN RECOGNITION, VISUAL;

EID: 18844372696     PISSN: 15347362     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/5.3.6     Document Type: Article

References (51)

1. Anderson, A. K., Christoff, K., Stappen, I., Panitz, D., Ghahremani, D. G., Glover, G., et al. (2003). Dissociated neural representations of intensity and valence in human olfaction. Nature Neuroscience, 6(2), 196-202.
2. Anderson, A. K., & Phelps, E. A. (2001). Lesions of the human amygdala impair enhanced perception of emotionally salient events. Nature, 411, 305-309.
3. Arana, F. S., Parkinson, J. A., Hinton, E., Holland, A. J., Owen, A. M., & Roberts, A. C. (2003). Dissociable contributions of the human amygdala and orbitofrontal cortex to incentive motivation and goal selection. The Journal of Neuroscience, 23(29), 9632-9638.
4. Bianchin, M., Mello e Souza, T., Medina, J. H., & Izquierdo, I. (1999). The amygdala is involved in the modulation of long-term memory, but not in working or short-term memory. Neurobiology of Learning & Memory, 71(2), 127-131.
5. Biederman, I., Rabinowitz, J. C., Glass, A. L., & Stacy, E. (1974). On the information extracted from a glance at a scene. Journal of Experimental Psychology, 103(3), 597-600.
6. Bundesen, C., & Harms, L. (1999). Single-letter recognition as a function of exposure duration. Psychological Research, 62(4), 275-279.
7. Cahill, L., & McGaugh, J. L. (1998). Mechanisms of emotional arousal and lasting declarative memory. Trends in Neurosciences, 21(7), 294-299.
8. Carrasco, M., Ling, S., & Read, S. (2004). Attention alters appearance. Nature Neuroscience, 7(3), 308-313.
9. Carrasco, M., & McElree, B. (2001). Covert attention accelerates the rate of visual information processing. Proceedings of the National Academy of Sciences U.S.A., 98(9), 5363-5367.
10. Coltheart, V. (Ed.). (1999). Fleeting memories: Cognition of brief visual stimuli. Cambridge, MA: The MIT Press.
11. Comtois, R. (2000-2003). Vision Shell PPC: http://www.visionshell.com.
12. Gaffan, D. (1974). Recognition impaired and association intact in the memory of monkeys after transection of the fornix. Journal of Comparative & Physiological Psychology, 86(6), 1100-1109.
13. Hamann, S. (2001). Cognitive and neural mechanisms of emotional memory. Trends in Cognitive Sciences, 5(9), 394-400.
14. Izquierdo, I., Medina, J. H., Vianna, M. R. M., Izquierdo, L. A., & Barros, D. M. (1999). Separate mechanisms for short-and long-term memory. Behavioural Brain Research, 103(1), 1-11.
15. Johnson, J. S., & Olshausen, B. A. (2003). Timecourse of neural signatures of object recognition. Journal of Vision, 3(7), 499-512, http://journalofvision.org/3/7/4/, doi:10.1167/3.7.4.
16. Kelly, D. H. (1961). Visual responses to time-dependent stimuli. I. Amplitude sensitivity measurements. Journal of the Optical Society of America, 51, 422-429.
17. Kensinger, E. A., & Corkin, S. (2003). Effect of negative emotional content on working memory and long-term memory. Emotion, 3(4), 378-393.
18. Kensinger, E. A., & Corkin, S. (2004). Two routes to emotional memory: Distinct neural processes for valence and arousal. Proceedings of the National Academy of Sciences U.S.A., 101(9), 3310-3315.
19. Keysers, C., Xiao, D. K., Foeldiak, P., & Perrett, D. I. (2001). The speed of sight. Journal of Cognitive Neuroscience, 13(1), 90-101.
20. Klüver, H., & Bucy, P. C. (1937). "Psychic blindness" and other symptoms following bilateral temporal lobectomy in Rhesus monkeys. American Journal of Physiology, 119, 352-353.
21. Kotz, S., & Nadarajah, S. (2000). Extreme value distributions: Theory and applications. London, UK, and River Edge, NJ: Imperial College Press. (Distributed by World Scientific)
22. Lamberts, K., Brockdorff, N., & Heit, E. (2002). Perceptual processes in matching and recognition of complex pictures. Journal of Experimental Psychology: Human Perception & Performance, 28(5), 1176-1191.
23. Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1990). Emotion, attention, and the startle reflex. Psychological Review, 97(3), 377-395.
24. Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1999). International Affective Picture System (IAPS): Instruction manual and affective ratings. University of Florida, The Center for Research in Psychophysiology, Tech. Rep. No A-4.
25. 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 U.S.A., 99(14), 9596-9601.
26. Loftus, G. R., & McLean, J. E. (1999). A front end to a theory of picture recognition. Psychonomic Bulletin & Review, 6(3), 394-411.
27. Loftus, G. R., & Ruthruff, E. (1994). A theory of visual information acquisition and visual memory with special application to intensity-duration trade-offs. Journal of Experimental Psychology: Human Perception & Performance, 20(1), 33-49.
28. Luce, R. D. (1986). Response times: Their role in inferring elementary mental organization. New York and Oxford: Oxford University Press and Clarendon Press.
29. Maljkovic, V., Martini, P., & Farid, H. (2004). The time-course of categorization of real-life scenes with affective content [Abstract]. Journal of Vision, 4(8), 126a, http://www.journalofvision.org/4/8/126/, doi: 10.1167/4.8.126.
30. McGaugh, J. L., McIntyre, C. K., & Power, A. E. (2002). Amygdala modulation of memory consolidation: Interaction with other brain systems. Neurobiology of Learning & Memory, 78(3), 539-552.
31. Mumford, D. (1991). On the computational architecture of the neocortex. 1. The role of the thalamocortical loop. Biological Cybernetics, 65(2), 135-145.
32. Mumford, D. (1992). On the computational architecture of the neocortex. 2. The role of corticocortical loops. Biological Cybernetics, 66(3), 241-251.
33. Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957). The measurement of meaning. Urbana: University of Illinois Press.
34. Potter, M. C. (1975). Meaning in visual search. Science, 187, 965-966.
35. Potter, M. C. (1976). Short-term conceptual memory for pictures. Journal of Experimental Psychology: Human Learning and Memory, 2(5), 509-522.
36. Potter, M. C., & Levy, E. I. (1969). Recognition memory for a rapid sequence of pictures. Journal of Experimental Psychology, 81(1), 10-15.
37. Quevedo, J., Sant, M. K., Madruga, M., Lovato, I., de Paris, F., Kapczinski, F., et al. (2003). Differential effects of emotional arousal in short- and long-term memory in healthy adults. Neurobiology of Learning & Memory, 79(2), 132-135.
38. Ross, S. M. (2003). Introduction to probability models (8th ed.). San Diego, CA: Academic Press.
39. Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39(Suppl. 6), 1161-1178.
40. Shibuya, H., & Bundesen, C. (1988). Visual selection from multielement displays: Measuring and modeling effects of exposure duration. Journal of Experimental Psychology: Human Perception & Performance, 14(4), 591-600.
41. Small, D. M., Gregory, M. D., Mak, Y. E., Gitelman, D., Mesulam, M. M., & Parrish, T. (2003). Dissociation of neural representation of intensity and affective valuation in human gustation. Neuron, 39(4), 701-711.
42. Stromeyer, C. F., III, & Martini, P. (2003). Human temporal impulse response speeds up with increased stimulus contrast. Vision Research, 43(3), 285-298.
43. Thorpe, S., Fize, D., & Marlot, C. (1996). Speed of processing in the human visual system. Nature, 381(6582), 520-522.
44. Torralba, A., & Oliva, A. (2003). Statistics of natural image categories. Network-Computation in Neural Systems, 14(3), 391-412.
45. Vailaya, A., Jain, A., & Zhang, H. J. (1998). On image classification: City images vs. landscapes. Pattern Recognition, 31(12), 1921-1935.
46. VanRullen, R., & Koch, C. (2003). Visual selective behavior can be triggered by a feed-forward process. Journal of Cognitive Neuroscience, 15(2), 209-217.
47. VanRullen, R., & Thorpe, S. J. (2001a). Is it a bird? Is it a plane? Ultra-rapid visual categorisation of natural and artifactual objects. Perception, 30(6), 655-668.
48. VanRullen, R., & Thorpe, S. J. (2001b). The time course of visual processing: From early perception to decision-making. Journal of Cognitive Neuroscience, 13(4), 454-461.
49. Wilson, H. R., & Humanski, R. (1993). Spatial frequency adaptation and contrast gain control. Vision Research, 33(8), 1133-1149.
50. Wundt, W. (1916). Elements of folk psychology: Outlines of a psychological history of the development of mankind (E. L. Schaub, Trans.). New York: Macmillan.
51. Yeung, N., & Sanfey, A. G. (2004). Independent coding of reward magnitude and valence in the human brain. The Journal of Neuroscience, 24(28), 6258-6264.