Early-vision brain responses which predict human visual segmentation and learning

Journal of Vision

Volumn 9, Issue 4, 2009, Pages

  Censor, Nitzan ^a   Bonneh, Yoram ^a   Arieli, Amos ^a   Sagi, Dov ^a  

^a WEIZMANN INSTITUTE OF SCIENCE   (Israel)

Author keywords

ERP; Memory consolidation; Perceptual learning; Segmentation; Texture

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; ELECTROENCEPHALOGRAPHY; EVOKED VISUAL RESPONSE; HUMAN; LEARNING; METHODOLOGY; OCCIPITAL LOBE; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY; PREDICTION AND FORECASTING; PSYCHOMETRY; PSYCHOPHYSICS; VISION;

ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; HUMANS; LEARNING; MODELS, NEUROLOGICAL; OCCIPITAL LOBE; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; PREDICTIVE VALUE OF TESTS; PSYCHOMETRICS; PSYCHOPHYSICS; VISUAL PERCEPTION;

EID: 64949101711     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/9.4.12     Document Type: Article

References (41)

1. Bach, M., & Meigen, T. (1997). Similar electrophysiological correlates of texture segregation induced by luminance, orientation, motion and stereo. Vision Research, 37, 1409-1414.
2. Bach, M., & Meigen, T. (1998). Electrophysiological correlates of human texture segregation, an overview. Documenta Ophthalmologica, 95, 335-347.
3. Bacon-Macé, N., Macé, M. J., Fabre-Thorpe, M., & Thorpe, S. J. (2005). The time course of visual processing: Backward masking and natural scene categorisation. Vision Research, 45, 1459-1469.
4. Boehler, C. N., Schoenfeld, M. A., Heinze, H. J., & Hopf, J. M. (2008). Rapid recurrent processing gates awareness in primary visual cortex. Proceedings of the National Academy of Sciences of the United States of America, 105, 8742-8747.
5. Casco, C., Campana, G., Grieco, A., & Fuggetta, G. (2004). Perceptual learning modulates electrophysiological and psychophysical response to visual texture segmentation in humans. Neuroscience Letters, 371, 18-23.
6. Censor, N., Karni, A., & Sagi, D. (2006). A link between perceptual learning, adaptation and sleep. Vision Research, 46, 4071-4074.
7. Censor, N., & Sagi, D. (2008). Benefits of efficient consolidation: Short training enables long-term resistance to perceptual adaptation induced by intensive testing. Vision Research, 48, 970-977.
8. Censor, N., & Sagi, D. (2009). Global resistance to local perceptual adaptation in texture discrimination. Vision Research, in press.
9. Coltheart, M., & Arthur, B. (1972). Evidence for an integration theory of visual masking. Quarterly Journal of Experimental Psychology, 24, 262-269.
10. Del Cul, A., Baillet, S., & Dehaene, S. (2007). Brain dynamics underlying the nonlinear threshold for access to consciousness. PLoS Biology, 5, e260.
11. Fahle, M., Quenzer, T., Braun, C., & Spang, K. (2003). Feature-specific electrophysiological correlates of texture segregation. Vision Research, 43, 7-19.
12. Fahrenfort, J. J., Scholte, H. S., & Lamme, V. A. (2007). Masking disrupts reentrant processing in human visual cortex. Journal of Cognitive Neuroscience, 19, 1488-1497.
13. Harris, A., & Nakayama, K. (2007). Rapid face-selective adaptation of an early extrastriate component in MEG. Cerebral Cortex, 17, 63-70.
14. Heinrich, S. P., Andre's, M., & Bach, M. (2007). Attention and visual texture segregation. Journal of Vision, 7(6):6, 1-10, http://journalofvision.org/7/6/6/,doi:10.1167/7.6.6.
15. Huber, R., Ghilardi, M. F., Massimini, M., & Tononi, G. (2004). Local sleep and learning. Nature, 430, 78-81.
16. Julesz, B. (1965). Texture and visual perception. Scientific American, 212, 38-48.
17. Julesz, B. (1981). Textons, the elements of texture perception, and their interactions. Nature, 290, 91-97.
18. Karni, A., Meyer, G., Jezzard, P., Adams, M. M., Turner, R., & Ungerleider, L. G. (1995). Functional MRI evidence for adult motor cortex plasticity during motor skill learning. Nature, 377, 155-158.
19. Karni, A., & Sagi, D. (1991). Where practice makes perfect in texture discrimination: Evidence for primary visual cortex plasticity. Proceedings of the National Academy of Sciences of the United States of America, 88, 4966-4970.
20. Karni, A., & Sagi, D. (1993). The time course of learning a visual skill. Nature, 365, 250-252.
21. Karni, A., Tanne, D., Rubenstein, B. S., Askenasy, J. J., & Sagi, D. (1994). Dependence on REM sleep of overnight improvement of a perceptual skill. Science, 265, 679-682.
22. Lamme, V. A., Van Dijk, B. W., & Spekreijse, H. (1992). Texture segregation is processed by primary visual cortex in man and monkey. Evidence from VEP experiments. Vision Research, 32, 797-807.
23. Lamme, V. A., Zipser, K., & Spekreijse, H. (2002). Masking interrupts figure-ground signals in V1. Journal of Cognitive Neuroscience, 14, 1044-1053.
24. Martínez, A., Anllo-Vento, L., Sereno, M. I., Frank, L. R., Buxton, R. B., Dubowitz, D. J., et al. (1999). Involvement of striate and extrastriate visual cortical areas in spatial attention. Nature Neuroscience, 2, 364-369.
25. Mednick, S., Nakayama, K., & Stickgold, R. (2003). Sleep-dependent learning: A nap is as good as a night. Nature Neuroscience, 6, 697-698.
26. Moldakarimov, S. B., McClelland, J. L., & Ermentrout, G. B. (2006). A homeostatic rule for inhibitory synapses promotes temporal sharpening and cortical reorganization. Proceedings of the National Academy of Sciences of the United States of America, 103, 16526-16531.
27. Mollon, J. D., & Danilova, M. V. (1996). Three remarks on perceptual learning. Spatial Vision, 10, 51-58.
28. Musselwhite, M. J., & Jeffreys, D. A. (1983). Visual evoked potentials to double-pulse pattern presentation. Vision Research, 23, 135-143.
29. Nagarajan, S., Mahncke, H., Salz, T., Tallal, P., Roberts, T., & Merzenich, M. M. (1999). Cortical auditory signal processing in poor readers. Proceedings of the National Academy of Sciences of the United States of America, 96, 6483-6488.
30. Pourtois, G., Rauss, K. S., Vuilleumier, P., & Schwartz, S. (2008). Effects of perceptual learning on primary visual cortex activity in humans. Vision Research, 48, 55-62.
31. Recanzone, G. H., Merzenich, M. M., & Schreiner, C. E. (1992). Changes in the distributed temporal response properties of SI cortical neurons reflect improvements in performance on a temporally based tactile discrimination task. Journal of Neurophysiology, 67, 1071-1091.
32. Rubenstein, B. S., & Sagi, D. (1990). Spatial variability as a limiting factor in texture-discrimination tasks: Implications for performance asymmetries. Journal of the Optical Society of America A, Optics and Image Science, 7, 1632-1643.
33. Schubö, A., Schlaghecken, F., & Meinecke, C. (2001). Learning to ignore the mask in texture segmentation tasks. Journal of Experiment Psychology: Human Perception and Performance, 27, 919-931.
34. Schwartz, S., Maquet, P., & Frith, C. (2002). Neural correlates of perceptual learning: A functional MRI study of visual texture discrimination. Proceedings of the National Academy of Sciences of the United States of America, 99, 17137-17142.
35. Stickgold, R., James, L., & Hobson, J. A. (2000a). Visual discrimination learning requires sleep after training. Nature Neuroscience, 3, 1237-1238.
36. Stickgold, R., Whidbee, D., Schirmer, B., Patel, V., & Hobson, J. A. (2000b). Visual discrimination task improvement: A multi-step process occurring during sleep. Journal of Cognitive Neuroscience, 12, 246-254.
37. Tononi, G., & Cirelli, C. (2006). Sleep function and synaptic homeostasis. Sleep Medicine Reviews, 10, 49-62.
38. Tsodyks, M., & Gilbert, C. (2004). Neural networks and perceptual learning. Nature, 431, 775-781.
39. Tucker, T. R., & Fitzpatrick, D. (2006). Luminance-evoked inhibition in primary visual cortex: A transient veto of simultaneous and ongoing response. Journal of Neuroscience, 26, 13537-13547.
40. Vassilev, A., Mihaylova, M., & Bonnet, C. (2002). On the delay in processing high spatial frequency visual information: reaction time and VEP latency study of the effect of local intensity of stimulation. Vision Research, 42, 851-864.
41. Yotsumoto, Y., Watanabe, T., & Sasaki, Y. (2008). Different dynamics of performance and brain activation in the time course of perceptual learning. Neuron, 57, 827-833.