A Bayesian framework for tilt perception and confidence

Advances in Neural Information Processing Systems

Volumn , Issue , 2005, Pages 1201-1208

  Schwartz, Odelia ^a   Sejnowski, Terrence J ^a   Dayan, Peter ^b  

^a SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN FRAMEWORKS; BAYESIAN MODELING; MECHANISTIC MODELS; PERCEPTUAL DOMAIN; VISUAL ILLUSIONS;

BAYESIAN NETWORKS;

EID: 84864039612     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. J J Gibson. Adaptation, after-effect, and contrast in the perception of tilted lines. Journal of Experimental Psychology, 20:553-569, 1937.
2. C Blakemore, R H S Carpentar, and M A Georgeson. Lateral inhibition between orientation detectors in the human visual system. Nature, 228:37-39, 1970.
3. J A Stuart and H M Burian. A study of separation difficulty: Its relationship to visual acuity in normal and amblyopic eyes. American Journal of Ophthalmology, 53:471-477, 1962.
4. A Yuille and H H Bulthoff. Perception as bayesian inference. In Knill and Whitman, editors, Bayesian decision theory and psychophysics, pages 123-161. Cambridge University Press, 1996.
5. Y Weiss, E P Simoncelli, and E H Adelson. Motion illusions as optimal percepts. Nature Neuroscience, 5:598-604, 2002.
6. A Stocker and E P Simoncelli. Constraining a bayesian model of human visual speed perception. Adv in Neural Info Processing Systems, 17, 2004.
7. D Kersten, PMamassian, and A Yuille. Object perception as bayesian inference. Annual Review of Psychology, 55:271-304, 2004.
8. K Kording and D Wolpert. Bayesian integration in sensorimotor learning. Nature, 427:244-247, 2004.
9. L Parkes, J Lund, A Angelucci, J Solomon, and M Morgan. Compulsory averaging of crowded orientation signals in human vision. Nature Neuroscience, 4:739-744, 2001.
10. D G Pelli, M Palomares, and N J Majaj. Crowding is unlike ordinary masking: Distinguishing feature integration from detection. Journal of Vision, 4:1136-1169, 2002.
11. J Solomon, F M Felisberti, and M Morgan. Crowding and the tilt illusion: Toward a unified account. Journal of Vision, 4:500-508, 2004.
12. J A Bednar and R Miikkulainen. Tilt aftereffects in a self-organizing model of the primary visual cortex. Neural Computation, 12:1721-1740, 2000.
13. C W Clifford, P Wenderoth, and B Spehar. A functional angle on some after-effects in cortical vision. Proc Biol Sci, 1454:1705-1710, 2000.
14. M K Kapadia, G Westheimer, and C D Gilbert. Spatial distribution of contextual interactions in primary visual cortex and in visual perception. J Neurophysiology, 4:2048-262, 2000.
15. C C Chen and C W Tyler. Lateral modulation of contrast discrimination: Flanker orientation effects. Journal of Vision, 2:520-530, 2002.
16. I Mareschal, M P Sceniak, and R M Shapley. Contextual influences on orientation discrimination: binding local and global cues. Vision Research, 41:1915-1930, 2001.
17. D Mumford. Elastica and computer vision. In Chandrajit Bajaj, editor, Algebraic geometry and its applications. Springer Verlag, 1994.
18. T K Leung and J Malik. Contour continuity in region based image segmentation. In Proc. ECCV, pages 544-559, 1998.
19. E Sharon, A Brandt, and R Basri. Completion energies and scale. IEEE Pat. Anal. Mach. Intell., 22(10), 1997.
20. S W Zucker, C David, A Dobbins, and L Iverson. The organization of curve detection: coarse tangent fields. Computer Graphics and Image Processing, 9(3):213-234, 1988.
21. S Ullman. Filling in the gaps: the shape of subjective contours and a model for their generation. Biological Cybernetics, 25:1-6, 1976.
22. G E Hinton and A D Brown. Spiking boltzmann machines. Adv in Neural Info Processing Systems, 12, 1998.
23. R A Jacobs. What determines visual cue reliability? Trends in Cognitive Sciences, 6:345-350, 2002.
24. Z Li. A saliency map in primary visual cortex. Trends in Cognitive Science, 6:9-16, 2002.
25. D J Field, A Hayes, and R F Hess. Contour integration by the human visual system: evidence for a local "association field". Vision Research, 33:173-193, 1993.
26. J Beck, A Rosenfeld, and R Ivry. Line segregation. Spatial Vision, 4:75-101, 1989.
27. M Sigman, G A Cecchi, C D Gilbert, and M O Magnasco. On a common circle: Natural scenes and gestalt rules. PNAS, 98(4):1935-1940, 2001.
28. S Mahumad, L R Williams, K K Thornber, and K Xu. Segmentation of multiple salient closed contours from real images. IEEE Pat. Anal. Mach. Intell., 25(4):433-444, 1997.
29. W S Geisler, J S Perry, B J Super, and D P Gallogly. Edge co-occurence in natural images predicts contour grouping performance. Vision Research, 6:711-724, 2001.
30. J H Elder and R M Goldberg. Ecological statistics of gestalt laws for the perceptual organization of contours. Journal of Vision, 4:324-353, 2002.
31. S R Lehky and T J Sejnowski. Neural model of stereoacuity and depth interpolation based on a distributed representation of stereo disparity. Journal of Neuroscience, 10:2281-2299, 1990.