The time course of visual letter perception

Journal of Cognitive Neuroscience

Volumn 24, Issue 7, 2012, Pages 1645-1655

  Madec, Sylvain ^a   Rey, Arnaud ^a   Dufau, Stéphane ^a   Klein, Michael ^a   Grainger, Jonathan ^a  

^a AIX MARSEILLE UNIVERSITÉ   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; CLINICAL ARTICLE; CONTROLLED STUDY; ELECTRODE; EVENT RELATED POTENTIAL; FEMALE; HUMAN; LETTER; MALE; NERVE STIMULATION; OCCIPITAL BONE; OCCIPITAL CORTEX; PHONETICS; PRIORITY JOURNAL; TRANSCRANIAL MAGNETIC STIMULATION; VISION; VISUAL LETTER PERCEPTION;

ADULT; FEMALE; HUMANS; MALE; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; PSYCHOMOTOR PERFORMANCE; REACTION TIME; VISUAL PERCEPTION; YOUNG ADULT;

EID: 84861550059     PISSN: 0898929X     EISSN: 15308898     Source Type: Journal    
DOI: 10.1162/jocn_a_00178     Document Type: Letter

References (32)

1. American Clinical Neurophysiology Society. (2006). Guideline 5: Guideline for standard electrode position nomenclature. Journal of Clinical Neurophysiology, 23, 107-110.
2. Bullier, J. (2001a). Integrated model of visual processing. Brain Research Review, 36, 96-107.
3. Bullier, J. (2001b). Feedback connections and conscious vision. Trends in Cognitive Sciences, 5, 369-370.
4. Camprodon, J. A., Zohary, E., Brodbeck, V., & Pascual-Leone, A. (2009). Two phases of V1 activity for visual recognition of natural images. Journal of Cognitive Neuroscience, 22, 1262-1269.
5. Courrieu, P., Brand-Dabrescia, M., Peereman, R., Spieler, D., & Rey, A. (2011). Validated intraclass correlation statistics to test item performance models. Behavior Research Methods, 43, 37-55.
6. Crouzet, S. M., & Cauchoix, M. (2011). When does the visual system need to look back. Journal of Neuroscience, 31, 8706-8707.
7. Dehaene, S., & Changeux, J.-P. (2011). Experimental and theoretical approaches to conscious processing. Neuron, 70, 200-227.
8. Felleman, D. J., & Van Essen, D. C. (1991). Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex, 1, 1-47.
9. Grainger, J., Rey, A., & Dufau, S. (2008). Letter perception: From pixels to pandemonium. Trends in Cognitive Sciences, 12, 381-387.
10. Koivisto, M., Railo, H., Revonsuo, A., Vanni, S., & Salminen-Vaparanta, N. (2011). Recurrent processing in V1/ V2 contributes to categorization of natural scenes. Journal of Neuroscience, 31, 2488-2492.
11. Kreiman, G., Koch, C., & Fried, I. (2000). Category specific visual responses of single neurons in the human medial temporal lobe. Nature Neuroscience, 3, 946-953.
12. Lamme, V. A. F. (2006). Towards a true neural stance on consciousness. Trends in Cognitive Sciences, 10, 494-501.
13. Logothetis, N. K., Pauls, J., & Poggio, T. (1995). Shape representation in the inferior temporal cortex of monkeys. Current Biology, 5, 552-563.
14. McClelland, J. L., & Rumelhart, D. E. (1981). An interactive activation model of context effects in letter perception: Part 1. An account of basic findings. Psychological Review, 88, 375-407.
15. Perrett, D. I., Rolls, E. T., & Caan, W. (1982). Visual neurons responsive to faces in the monkey temporal cortex. Experimental Brain Research, 47, 329-342.
16. Petit, J. P., Midgley, K. J., Holcomb, P. J., & Grainger, J. (2006). On the time-course of letter perception: A masked priming ERP investigation. Psychonomic Bulletin & Review, 13, 674-681.
17. Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C., & Fried, I. (2005). Invariant visual representation by single neurons in the human brain. Nature, 435, 1102-1107.
18. Rastle, K., & Coltheart, M. (1998). Whammies and double whammies: The effect of length on nonword reading. Psychonomic Bulletin & Review, 5, 277-282.
19. Ratcliff, R. (1978). A theory of memory retrieval. Psychological Review, 83, 59-108.
20. Rey, A., Courrieu, P., Schmidt-Weigand, F., & Jacobs, A. M. (2009). Item performance in visual word recognition. Psychonomic Bulletin & Review, 16, 600-608.
21. Rey, A., Dufau, S., Massol, S., & Grainger, J. (2009). Testing computational models of letter perception with item-level ERPs. Cognitive Neuropsychology, 26, 7-22.
22. Rey, A., Jacobs, A. M., Schmidt-Weigand, F., & Ziegler, J. C. (1998). A phoneme effect in visual word recognition. Cognition, 68, B71-B80.
23. Rey, A., & Schiller, N. O. (2005). Graphemic complexity and multiple print-to-sound associations in visual word recognition. Memory & Cognition, 33, 76-85.
24. Rolls, E. T. (2000). Functions of the primate temporal lobe cortical visual areas in invariant visual object and face recognition. Neuron, 27, 205-218.
25. Rolls, E. T. (2007). A computational neuroscience approach to consciousness. Neural Networks, 20, 962-982.
26. Schutter, D. J. L. G., Leitner, C., Kenemans, J. L., & van Honk, J. (2006). Electrophysiological correlates of cortico-subcortical interaction: A cross-frequency spectral EEG analysis. Clinical Neurophysiology, 117, 381-387.
27. Tarkiainen, A., Cornelissen, P. L., & Salmelin, R. (2002). Dynamics of visual feature analysis and object-level processing in face versus letter-string perception. Brain, 125, 1125-1136.
28. Tarkiainen, A., Helenius, P., Hansen, P. C., Cornelissen, P. L., & Salmelin, R. (1999). Dynamics of letter string perception in the human occipitotemporal cortex. Brain, 122, 2119-2131.
29. Thorpe, S. J., Fize, D., & Marlot, C. (1996). Speed of processing in the human visual system. Nature, 381, 520-522.
30. Van Essen, D. C. (2005). Corticocortical and thalamo-cortical information flow in the primate visual system. Progress in Brain Research, 149, 173-185.
31. VanRullen, R. (2007). The power of the feed-forward sweep. Advances in Cognitive Psychology, 3, 167-176.
32. Wong, A. C., Gauthier, I., Woroch, B., DeBuse, C., & Curran, T. (2005). An early electrophysiological response associated with expertise in letter perception. Cognitive, Affective & Behavioral Neuroscience, 5, 306-318.