The visual system is exquisitely adapted to the task of extracting conceptual information from visual input with every new eye fixation, three or four times a second. Here we assess the minimum viewing time needed for visual comprehension, using rapid serial visual presentation (RSVP) of a series of six or 12 pictures presented at between 13 and 80 ms per picture, with no interstimulus interval. Participants were to detect a picture specified by a name (e.g., smiling couple) that was given just before or immediately after the sequence. Detection improved with increasing duration and was better when the name was presented before the sequence, but performance was significantly above chance at all durations, whether the target was named before or only after the sequence. The results are consistent with feedforward models, in which an initial wave of neural activity through the ventral stream is sufficient to allow identification of a complex visual stimulus in a single forward pass. Although we discuss other explanations, the results suggest that neither reentrant processing from higher to lower levels nor advance information about the stimulus is necessary for the conscious detection of rapidly presented, complex visual information.
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Because of the relatively large number of replaced participants in Experiment 2’s after group, we also ran the main d' analysis with the original 16 participants. Although d' was slightly lower with the original group than with the replaced participants, none of the significance levels changed, including the comparison with the before group.
Bacon-Macé, N., Kirchner, H., Fabre-Thorpe, M., & Thorpe, S. J. (2007). Effects of task requirements on rapid natural scene processing: From common sensory encoding to distinct decisional mechanisms. Journal of Experimental Psychology: Human Perception and Performance, 33, 1013–1026. doi:10.1037/0096-15188.8.131.523
Bar, M., Kassam, K. S., Ghuman, A. S., Boshyan, J., Schmid, A. M., Dale, A. M., & Halgren, E. (2006). Top-down facilitation of visual recognition. Proceedings of the National Academy of Sciences, 103, 449–454. doi:10.1073/pnas.0507062103
Brainard, D. H. (1997). The psychophysics toolbox. Spatial Vision, 10, 433–436. doi:10.1163/156856897X00357
Crouzet, S. M., Kirchner, H., & Thorpe, S. J. (2010). Fast saccades toward faces: Face detection in just 100 ms. Journal of Vision, 10(4):16, 1–17. doi:10.1167/10.4.16
Cukur, T., Nishimoto, S., Huth, A. G., & Gallant, J. I. (2013). Attention during natural vision warps semantic representation across the human brain. Nature Neuroscience, 16, 763–770.
Dehaene, S., Kergsberg, M., & Changeux, J. P. (1998). A neuronal model of a global workspace in effortful cognitive tasks. Proceedings of the National Academy of Sciences, 95, 14529–14534.
Dehaene, S., & Naccache, L. (2001). Towards a cognitive neuroscience of consciousness: Basic evidence and a workspace framework. Cognition, 79, 1–37. doi:10.1016/S0010-0277(00)00123-2
Dehaene, S., Naccache, L., Cohen, L., LeBihan, D., Mangin, J. F., Poline, J.-B., & Rivière, D. (2001). Cerebral mechanisms of word masking and unconscious repetition priming. Nature Neuroscience, 4, 752–758. doi:10.1038/89551
Dehaene, S., Sergent, C., & Changeux, J.-P. (2003). A neuronal network model linking subjective reports and objective physiological data during conscious perception. Proceedings of the National Academy of Sciences, 100, 8520–8525.
Del Cul, A., Baillet, S., & Dehaene, S. (2007). Brain dynamics underlying the nonlinear threshold for access to consciousness. PLoS Biology, 5, 2408–2423.
DiCarlo, J. J., Zoccolan, D., & Rust, N. C. (2012). How does the brain solve visual object recognition? Neuron, 73, 415–434. doi:10.1016/j.neuron.2012.01.010
Di Lollo, V. (2012). The feature-binding problem is an ill-posed problem. Trends in Cognitive Sciences, 16, 317–321.
Di Lollo, V., Enns, J. T., & Rensink, R. A. (2000). Competition for consciousness among visual events: The psychophysics of reentrant visual pathways. Journal of Experimental Psychology: General, 129, 481–507. doi:10.1037/0096-34184.108.40.2061
Enns, J. T., & Di Lollo, V. (2000). What’s new in visual masking? Trends in Cognitive Sciences, 4, 345–352. doi:10.1016/S1364-6613(00)01520-5
Evans, K. K., Horowitz, T. S., & Wolfe, J. W. (2011). When categories collide: Accumulation of information about multiple categories in rapid scene perception. Psychological Science, 22, 739–746. doi:10.1177/0956797611407930
Fabre-Thorpe, M. (2011). The characteristics and limits of rapid visual categorization. Frontiers in Psychology, 2, 243. doi:10.3389/fpsyg.2011.00243
Forster, K. I., & Davis, C. (1984). Repetition priming and frequency attenuation in lexical access. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 680–698. doi:10.1037/0278-73220.127.116.110
Hochstein, S., & Ahissar, M. (2002). View from the top: Hierarchies and reverse hierarchies in the visual system. Neuron, 36, 791–804.
Hung, C. P., Kreiman, G., Poggio, T., & DiCarlo, J. J. (2005). Fast readout of object identity from macaque inferior temporal cortex. Science, 310, 863–866.
Intraub, H. (1981). Rapid conceptual identification of sequentially presented pictures. Journal of Experimental Psychology: Human Perception and Performance, 7, 604–610. doi:10.1037/0096-1518.104.22.1684
Intraub, H. (1984). Conceptual masking: The effects of subsequent visual events on memory for pictures. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 115–125. doi:10.1037/0278-7322.214.171.124
Keysers, C., Xiao, D.-K., Földiák, P., & Perrett, D. I. (2001). The speed of sight. Journal of Cognitive Neuroscience, 13, 90–101.
Keysers, C., Xiao, D.-K., Földiák, P., & Perrett, D. I. (2005). Out of sight but not out of mind: The neurophysiology of iconic memory in the superior temporal sulcus. Cognitive Neuropsychology, 22, 316–332.
Kovacs, G., Vogels, R., & Orban, G. A. (1995). Cortical correlate of backward masking. Proceedings of the National Academy of Sciences, 92, 5587–5591.
Lamme, V. A. F. (2006). Towards a true neural stance on consciousness. Trends in Cognitive Sciences, 10, 494–501. doi:10.1016/j.tics.2006.09.001
Lamme, V. A. F., & Roelfsema, P. R. (2000). The distinct modes of vision offered by feedforward and recurrent processing. Trends in Neurosciences, 23, 571–579. doi:10.1016/S0166-2236(00)01657-X
Liu, H., Agam, Y., Madsen, J. R., & Kreiman, G. (2009). Timing, timing, timing: Fast decoding of object information from intracranial field potentials in human visual cortex. Neuron, 62, 281–290.
Llinás, R., Ribary, U., Contreras, D., & Pedroarena, C. (1998). The neuronal basis for consciousness. Philosophical Transactions of the Royal Society B, 353, 1841–1849.
Loftus, G. R., Hanna, A. M., & Lester, L. (1988). Conceptual masking: How one picture captures attention from another picture. Cognitive Psychology, 20, 237–282. doi:10.1016/0010-0285(88)90020-5
Loschky, L. C., Hansen, B. C., Sethi, A., & Pydimarri, T. N. (2010). The role of higher order image statistics in masking scene gist recognition. Attention, Perception, & Psychophysics, 72, 427–444. doi:10.3758/APP.72.2.427
Macknik, S. L., & Martinez-Conde, S. (2007). The role of feedback in visual masking and visual processing. Advances in Cognitive Psychology, 3, 125–152.
McKeeff, T. J., Remus, D. A., & Tong, F. (2007). Temporal limitations in object processing across the human ventral visual pathway. Journal of Neurophysiology, 98, 382–393.
Moore, C. M., & Wolfe, J. M. (2001). Getting beyond the serial/parallel debate in visual search: A hybrid approach. In K. Shapiro (Ed.), The limits of attention: Temporal constraints on human information processing (pp. 178–198). Oxford, UK: Oxford University Press.
Peelen, M. V., & Kastner, S. (2011). A neural basis for real-world visual search in human occipitotemporal cortex. Proceedings of the National Academy of Sciences, 108, 12125–12130.
Perrett, D., Hietanen, J., Oram, M., & Benson, P. (1992). Organization and functions of cells responsive to faces in the temporal cortex. Philosophical Transactions of the Royal Society B, 335, 23–30.
Potter, M. C. (1975). Meaning in visual search. Science, 187, 965–966. doi:10.1126/science.1145183
Potter, M. C. (1976). Short-term conceptual memory for pictures. Journal of Experimental Psychology: Human Learning and Memory, 2, 509–522.
Potter, M. C., & Levy, E. I. (1969). Recognition memory for a rapid sequence of pictures. Journal of Experimental Psychology, 81, 10–15. doi:10.1037/h0027470
Potter, M. C., Staub, A., Rado, J., & O’Connor, D. H. (2002). Recognition memory for briefly-presented pictures: The time course of rapid forgetting. Journal of Experimental Psychology: Human Perception and Performance, 28, 1163–1175. doi:10.1037/0096-15126.96.36.1993
Serre, T., Kreiman, G., Kouh, M., Cadieu, C., Knoblich, U., & Poggio, T. (2007a). A quantitative theory of immediate visual recognition. Progress in Brain Research, 165, 33–56.
Serre, T., Oliva, A., & Poggio, T. (2007b). A feedforward architecture accounts for rapid categorization. Proceedings of the National Academy of Sciences, 104, 6424–6429.
Sugase, Y., Yamane, S., Ueno, S., & Kawano, K. (1999). Global and fine information coded by single neurons in the temporal visual cortex. Nature, 400, 869–873.
Thorpe, S., & Fabre-Thorpe, M. (2001). Seeking categories in the brain. Science, 291, 260–263.
Thorpe, S., Fize, D., & Marlot, C. (1996). Speed of processing in the human visual system. Nature, 381, 520–522.
Tononi, G., & Koch, C. (2008). The neural correlates of consciousness: An update. Annals of the New York Academy of Sciences, 1124, 239–261.
Wolfe, J. M. (2003). Moving towards solutions to some enduring controversies in visual search. Trends in Cognitive Science, 7, 70–76.
This research was supported by National Institutes of Health Grant No. MH47432. M.C.P. developed the study concept. All of the authors contributed to the study design. The testing, data collection, and data analysis were performed by E.S.M. and C.E.H. under the supervision of M.C.P. and B.W. M.C.P. drafted the article, and B.W. and C.E.H. provided critical revisions. All of the authors approved the final version of the article for submission. We thank Chidinma Egbukichi and Steven Yu for assistance.
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Potter, M.C., Wyble, B., Hagmann, C.E. et al. Detecting meaning in RSVP at 13 ms per picture. Atten Percept Psychophys 76, 270–279 (2014). https://doi.org/10.3758/s13414-013-0605-z
- Picture perception
- Feedforward processing
- Attentional set
- Conscious perception
- Conceptual processing