Free viewing of dynamic stimuli by humans and monkeys

Journal of Vision

Volumn 9, Issue 5, 2009, Pages

  Berg, David J ^a   Boehnke, Susan E ^b   Marino, Robert A ^b   Munoz, Douglas P ^b   Itti, Laurent ^c,d  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b QUEEN S UNIVERSITY   (Canada)

^c NONE   (United States)

^d NONE   (United States)

Author keywords

Computational model; Free viewing; Monkeys; Saccades; Salience; Visual attention

Indexed keywords

ANIMAL; ARTICLE; ATTENTION; COMPARATIVE STUDY; COMPUTER SIMULATION; EYE FIXATION; EYE MOVEMENT; FEMALE; HUMAN; MACACA; MALE; PHOTOSTIMULATION; PHYSIOLOGY; RECEIVER OPERATING CHARACTERISTIC; VISION;

ANIMALS; ATTENTION; COMPUTER SIMULATION; EYE MOVEMENTS; FEMALE; FIXATION, OCULAR; HUMANS; MACACA MULATTA; MALE; PHOTIC STIMULATION; ROC CURVE; VISUAL PERCEPTION;

EID: 65849469661     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/9.5.19     Document Type: Article

References (52)

1. Bahill, A. T., Brockenbrough, A., & Troost, B. T. (1981). Variability and development of a normative data base for saccadic eye movements. Investigative Ophthalmology & Visual Science, 21, 116-125.
2. Bahill, A. T., Clark, M. R., & Stark, L. (1975). The main sequence, a tool for studying human eye movements. Mathematical Biosciences, 24, 191.
3. Bamber, D. (1975). The area above the ordinal dominance graph and the area below the receiver operating characteristic graph. Journal of Mathematical Psychology, 12, 387-415.
4. Becker, W., & Fuchs, A. F. (1969). Further properties of the human saccadic system: Eye movements and correction saccades with and without visual fixation points. Vision Research, 9, 1247-1258.
5. Boghen, D., Troost, B. T., Daroff, R. B., Dell'Osso, L. F., & Birkett, J. E. (1974). Velocity characteristics of normal human saccades. Investigative Ophthalmology, 13, 619-623.
6. De Graef, P., De Troy, A., & Dydewalle, G. (1992). Local and global contextual constraints on the identification of objects in scenes. Canadian Journal of Psychology, 46, 489-508.
7. Dragoi, V., & Sur, M. (2006). Image structure at the center of gaze during free viewing. Journal of Cognitive Neuroscience, 18, 737-748.
8. Einhäuser, W., Kruse, W., Hoffmann, K. P., & König, P. (2006). Differences of monkey and human overt attention under natural conditions. Vision Research, 46, 1194-1209.
9. Fecteau, J. H., & Munoz, D. P. (2006). Salience, relevance, and firing: A priority map for target selection. Trends in Cognitive Sciences, 10, 382-390.
10. Felsen, G., & Dan, Y. (2005). A natural approach to studying vision. Nature Neuroscience, 8, 1643-1646.
11. Finney, S. A. (2001). Real-time data collection in linux: A case study. Behavior Research Methods, Instruments, & Computers, 33, 167-173.
12. Gallant, J. L., Connor, C. E., & Van Essen, D. C. (1998). Neural activity in areas V1, V2 and V4 during free viewing of natural scenes compared to controlled viewing. Neuroreport, 9, 2153-2158.
13. Goldberg, M. E., Bisley, J. W., Powell, K. D., & Gottlieb, J. (2006). Saccades, salience and attention: The role of the lateral intraparietal area in visual behavior. Progress in Brain Research, 155, 157-175.
14. Good, P. I. (1994). Permutation tests: A practical guide to resampling methods for testing hypotheses. New York: Springer-Verlag.
15. Harris, C. M., Wallman, J., & Scudder, C. A. (1990). Fourier analysis of saccades in monkeys and humans. Journal of Neurophysiology, 63, 877-886.
16. Hays, A. V. J., Richmond, B. J., & Optican, L. M. (1982). Unix-based multiple-process system for real-time data acquisition and control. Wescon Conference Record, 2, 1-10.
17. Henderson, J. M., Weeks, P. A., Jr., & Hollingworth, A. (1999). Effects of semantic consistency on eye movements during scene viewing. Journal of Experimental Psychology: Human Perception and Performance, 25, 210-228.
18. Itti, L. (2004). The iLab neuromorphic vision C++ toolkit: Free tools for the next generation of vision algorithms. The Neuromorphic Engineer, 1, 10.
19. Itti, L. (2005). Quantifying the contribution of low-level saliency to human eye movements in dynamic scenes. Visual Cognition, 12, 1093.
20. Itti, L. (2006). Quantitative modelling of perceptual salience at human eye position. Visual Cognition, 14, 959.
21. Itti, L., & Baldi, P. (2006). Bayesian surprise attracts human attention. Advances in Neural Information Processing Systems, 19, 547-554.
22. Itti, L., & Koch, C. (2000). A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Research, 40, 1489-1506.
23. Itti, L., & Koch, C. (2001). Computational modelling of visual attention. Nature Reviews, Neuroscience, 2, 194-203.
24. Itti, L., Koch, C., & Niebur, E. (1998). A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 1254.
25. Judge, S. J., Richmond, B. J., & Chu, F. C. (1980). Implantation of magnetic search coils for measurement of eye position: An improved method. Vision Research, 20, 535-538.
26. Kayser, C., Körding, K. P., & König, P. (2004). Processing of complex stimuli and natural scenes in the visual cortex. Current Opinion in Neurobiology, 14, 468-473.
27. Le Meur, O., Le Callet, P., & Barba, D. (2007). Predicting visual fixations on video based on low-level visual features. Vision Research, 47, 2483-2498.
28. Loftus, G. R., & Mackworth, N. H. (1978). Cognitive determinants of fixation location during picture viewing. Journal Experimental Psychology: Human Perception and Performance, 4, 565-572.
29. Marino, R. A., Rodgers, C. K., Levy, R., & Munoz, D. P. (2008). Spatial relationships of visuomotor transformations in the superior colliculus map. Journal of Neurophysiology, 100, 2564-2576.
30. Neider, M. B., & Zelinsky, G. J. (2006). Scene context guides eye movements during visual search. Vision Research, 46, 614-621.
31. Noton, D., & Stark, L. (1971). Scanpaths in eye movements during pattern perception. Science, 171, 308-311.
32. Oliva, A., Torralba, A., Castelhano, M. S., & Henderson, J. M. (2003). Top-down control of visual attention in object detection. Proceedings of the 2003 International Conference on Image Processing (Cat no. 03CH37429), 1, 253.
33. Orban, G. A., Van Essen, D., & Vanduffel, W. (2004). Comparative mapping of higher visual areas in monkeys and humans. Trends in Cognitive Sciences, 8, 315-324.
34. Paré, M., & Munoz, D. P. (2001). Expression of a recentering bias in saccade regulation by superior colliculus neurons. Experimental Brain Research, 137, 354-368.
35. Parkhurst, D., Law, K., & Niebur, E. (2002). Modeling the role of salience in the allocation of overt visual attention. Vision Research, 42, 107-123.
36. Parkhurst, D. J., & Niebur, E. (2003). Scene content selected by active vision. Spatial Vision, 16, 125-154.
37. Peters, R. J., Iyer, A., Itti, L., & Koch, C. (2005). Components of bottom-up gaze allocation in natural images. Vision Research, 45, 2397-2416.
38. Privitera, C. M., & Stark, L. W. (2000). Algorithms for defining visual regions-of-interest: Comparison with eye fixations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 970.
39. Quaia, C., Paré, M., Wurtz, R. H., & Optican, L. M. (2000). Extent of compensation for variations in monkey saccadic eye movements. Experimental Brain Research, 132, 39-51.
40. Ramat, S., Leigh, R. J., Zee, D. S., & Optican, L. M. (2007). What clinical disorders tell us about the neural control of saccadic eye movements. Brain, 130, 10-35.
41. Reinagel, P. (2001). How do visual neurons respond in the real world? Current Opinion in Neurobiology, 11, 437-442.
42. Reinagel, P., & Zador, A. M. (1999). Natural scene statistics at the centre of gaze. Network, 10, 341-350.
43. Robinson, D. A. (1963). A method of measuring eye movement using a scleral search coil in a magnetic field. IEEE Transactions on Biomedical Engineering, 10, 137-145.
44. Simoncelli, E. P., & Olshausen, B. A. (2001). Natural image statistics and neural representation. Annual Review of Neuroscience, 24, 1193-1216.
45. Sokal, R. R., & Rohlf, F. J. (1995). Biometry: The principles and practices of statistics in biological research. New York: W. H. Freedman and Company.
46. Tatler, B. W. (2007). The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions. Journal of Vision, 7(14):4, 1-17, http://journalofvision.org/7/14/4/, doi:10.1167/7.14.4.
47. Tatler, B. W., Baddeley, R. J., & Gilchrist, I. D. (2005). Visual correlates of fixation selection: Effects of scale and time. Vision Research, 45, 643-659.
48. Treisman, A. M., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12, 97-136.
49. Van Gisbergen, J. A., Robinson, D. A., & Gielen, S. (1981). A quantitative analysis of generation of saccadic eye movements by burst neurons. Journal of Neurophysiology, 45, 417-442.
50. Vinje, W. E., & Gallant, J. L. (2000). Sparse coding and decorrelation in primary visual cortex during natural vision. Science, 287, 1273-1276.
51. Warton, D. I., Wright, I. J., Falster, D. S., & Westboy, M. (2006). Bivariate line-fitting methods for allometry. Biological Reviews of the Cambridge Philosophical Society, 81, 259-291.
52. Yarbus, A. L. (1967). Eye movements and vision. New York: Plenum Press.