Erratum: "Rendering the use of visual information from spiking neurons to recognition" (Cognitive Science (2003) vol. 28 (141-302) 10.1016/j.cogsci.2004.01.003));A picture is worth thousands of trials: Rendering the use of visual information from spiking neurons to recognition

Cognitive Science

Volumn 28, Issue 2, 2004, Pages 141-146

  Gosselin, Frédéric ^a   Schyns, Philippe G ^b  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Attention; Bubbles; Change detection; Reverse correlation; RISE; Vision

Indexed keywords

EID: 1842502034     PISSN: 03640213     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cogsci.2004.04.001     Document Type: Erratum

References (29)

1. Ahumada A.J. Lovell J. Stimulus features in signal detection Journal of the Acoustical Society of America 49 1971 1751-1756
2. Bentin S. Allison T. Puce A. Perez A. McCarthy G. Electrophysiological studies of face perception in humans Journal of Cognitive Neuroscience 8 1996 551-565
3. Carmel D. Bentin S. Domain specificity versus expertise: Factors influencing distinct processing of faces Cognition 83 2002 1-29
4. de Boer R. Kuyper P. Triggered correlation IEEE Transaction of Biomedical Engineering 15 1968 169-179
5. Desimone R. Albright T.D. Gross C.G. Bruce C. Stimulus-selective properties of inferior temporal neurons in the Macaque Journal of Neuroscience 4 1984 2051-2062
6. Eckstein, M. P., Ahumada, A. J. (Eds.). (2002). Classification images: A tool to analyze visual strategies. Journal of Vision, 2, i-i, http://journalofvision.org/2/1/i/ doi:10.1167/2.1.i
7. Gauthier I. Skudlarski P. Gore J.C. Anderson A.W. Expertise for cars and birds recruit brain areas involved in face recognition Nature Neuroscience 3 2000 191-197
8. Gauthier I. Tarr M.J. Anderson A.W. Skudlarski P. Gore J.C. Activation of the middle fusiform "face area" increases with expertise in recognizing novel objects Nature Neuroscience 2 1999 568-573
9. Gauthier I. Tarr M.J. Moylan J. Skudlarski P. Gore J.C. Anderson A.W. The fusiform "face area" is part of a network that processes faces at the individual level Journal of Cognitive Neuroscience 12 2000 495-504
10. Geisler W.S. Diehl R.L. A Bayesian approach to the evolution of perceptual and cognitive systems Cognitive Science 27 2003 379-402
11. Gosselin F. Schyns P.G. RAP: A new framework for visual categorization Trends in Cognitive Sciences 6 2002 70-77
12. Gosselin F. Schyns P.G. No troubles with Bubbles: A reply to Murray and Gold Vision Research 44 2004 471-477
13. Gosselin, F., - Schyns, P. G. (in press). A user's guide to Bubbles.
14. Gross C.G. Rocha-Miranda C.E. Bender D.B. Visual properties of neurons in inferotemporal cortex of the Macaque Journal of Neurophysiology 35 1972 96-111
15. Kanwisher N. McDermott J. Chun M.M. The fusiform face area: A module in human extrastriate cortex specialized for face perception Journal of Neuroscience 17 1997 4302-4311
16. Kersten, D., Mamassian, P., - Yuille, A. (in press). Object perception as Bayesian inference. Annual Review of Psychology.
17. Kobatabe E. Tanaka K. Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex Journal of Neurophysiology 71 1994 856-867
18. Murray R.F. Gold J.M. Troubles with bubbles Vision Research 44 2004 461-470
19. Op de Beeck H. Wagemans J. Vogels R. Inferotemporal neurons represent low-dimensional configurations of parametrized shapes Nature Neuroscience 4 2001 1244-1252
20. Pasupathy A. Connor C. Population coding of shape in area V4 Nature Neuroscience 5 2002 1332-1338
21. Perrett D.I. Rolls E.T. Caan W. Visual neurones responsive to faces in the monkey temporal cortex Experimental Brain Research 47 1982 329-342
22. Ramón y Cajal, S. (1999). Advice for a young investigator. Translated by N. Swanson - L. W. Swanson from Reglas y Consejos sobre Investigación Cientifica: Los tónicos de la voluntad (1897). Massachusetts: MIT Press.
23. Schyns P.G. Jentzsch I. Johnson M. Schweinberger S.R. Gosselin F. A principled method for determining the functionality of ERP components Neuroreport 14 2003 1665-1669
24. Sigala N. Logothetis N. Visual categorization shapes feature selectivity in the primate temporal cortex Nature 415 2002 318-320
25. Simoncelli E.P. Seeing patterns in noise Trends in Cognitive Sciences 7 2002 51-53
26. Smith, M., Gosselin, F., - Schyns, P. G. (in press). Receptive fields for flexible face categorizations. Psychological Science.
27. Tanaka K. Saito H. Fukada Y. Moriya M. Coding visual images of objects in the inferotemporal cortex of the macaque monkey Journal of Neurophysiology 66 1991 170-189
28. Tsunoda K. Yamame Y. Nishizaki M. Tanifuji M. Complex objects are represented in macaque inferotemporal cortex by combinations of feature columns Nature Neuroscience 4 2001 832-838
29. Wiener, N. (1958). Nonlinear problems in random theory. New York: Wiley.