Failure to detect meaning in RSVP at 27 ms per picture

The human visual system has the remarkable ability to rapidly detect meaning from visual stimuli. Potter, Wyble, Hagmann, and McCourt (Attention, Perception, & Psychophysics, 76, 270–279, 2014) tested the minimum viewing time required to obtain meaning from a stream of pictures shown in a rapid serial visual presentation (RSVP) sequence containing either six or 12 pictures. They reported that observers could detect the presence of a target picture specified by name (e.g., smiling couple) even when the pictures in the sequence were presented for just 13 ms each. Potter et al. claimed that this was insufficient time for feedback processing to occur, so feedforward processing alone must be able to generate conscious awareness of the target pictures. A potential confound in their study is that the pictures in the RSVP sequence sometime contained areas with no high-contrast edges, and so may not have adequately masked each other. Consequently, iconic memories of portions of the target pictures may have persisted in the visual system, thereby increasing the effective presentation time. Our study addressed this issue by redoing the Potter et al. study, but using four different types of masks. We found that when adequate masking was used, no evidence emerged that observers could detect the presence of a specific target picture, even when each picture in the RSVP sequence was presented for 27 ms. On the basis of these findings, we cannot rule out the possibility that feedback processing is necessary for individual pictures to be recognized.

[1]  R. Desimone,et al.  Stimulus-selective properties of inferior temporal neurons in the macaque , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[2]  Christian Keysers,et al.  Visual masking and RSVP reveal neural competition , 2002, Trends in Cognitive Sciences.

[3]  George Sperling,et al.  The information available in brief visual presentations. , 1960 .

[4]  Jeremy M Wolfe,et al.  When Categories Collide , 2011, Psychological science.

[5]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[6]  Timothy F. Brady,et al.  Scene Memory Is More Detailed Than You Think : The Role of Categories in Visual Long-Term Memory , 2010 .

[7]  Richard C. Atkinson,et al.  Human Memory: A Proposed System and its Control Processes , 1968, Psychology of Learning and Motivation.

[8]  Michelle R. Greene,et al.  Recognition of natural scenes from global properties: Seeing the forest without representing the trees , 2009, Cognitive Psychology.

[9]  Mika Koivisto,et al.  Is reentry critical for visual awareness of object presence? , 2012, Vision Research.

[10]  Mary C Potter,et al.  Banana or fruit? Detection and recognition across categorical levels in RSVP , 2014, Psychonomic bulletin & review.

[11]  P. Fldik,et al.  The Speed of Sight , 2001, Journal of Cognitive Neuroscience.

[12]  G. Tononi An information integration theory of consciousness , 2004, BMC Neuroscience.

[13]  S. Hochstein,et al.  View from the Top Hierarchies and Reverse Hierarchies in the Visual System , 2002, Neuron.

[14]  D. Hubel,et al.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.

[15]  G. Loftus,et al.  Perceptual and conceptual masking of pictures. , 1984, Journal of experimental psychology. Learning, memory, and cognition.

[16]  Bruce C Hansen,et al.  The role of higher order image statistics in masking scene gist recognition , 2010, Attention, perception & psychophysics.

[17]  S. Dehaene,et al.  Unconscious Masked Priming Depends on Temporal Attention , 2002, Psychological science.

[18]  M. Potter Meaning in visual search. , 1975, Science.

[19]  Jodi L. Davenport,et al.  Scene Consistency in Object and Background Perception , 2004, Psychological science.

[20]  M. Hautus Corrections for extreme proportions and their biasing effects on estimated values ofd′ , 1995 .

[21]  D J Field,et al.  Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[22]  S. Martinez-Conde,et al.  The role of feedback in visual masking and visual processing , 2008, Advances in cognitive psychology.

[23]  V. Lamme,et al.  The distinct modes of vision offered by feedforward and recurrent processing , 2000, Trends in Neurosciences.

[24]  H. Intraub Conceptual masking: the effects of subsequent visual events on memory for pictures. , 1984, Journal of experimental psychology. Learning, memory, and cognition.

[25]  V. Lamme Towards a true neural stance on consciousness , 2006, Trends in Cognitive Sciences.

[26]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

[27]  Brad Wyble,et al.  Detecting meaning in RSVP at 13 ms per picture , 2013, Attention, perception & psychophysics.

[28]  Eero P. Simoncelli,et al.  A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients , 2000, International Journal of Computer Vision.

[29]  M. Potter Short-term conceptual memory for pictures. , 1976, Journal of experimental psychology. Human learning and memory.

[30]  G Kovács,et al.  Cortical correlate of pattern backward masking. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[31]  G. Rees,et al.  Predicting the orientation of invisible stimuli from activity in human primary visual cortex , 2005, Nature Neuroscience.

[32]  Thomas Serre,et al.  A feedforward architecture accounts for rapid categorization , 2007, Proceedings of the National Academy of Sciences.

[33]  Vincent Di Lollo The feature-binding problem is an ill-posed problem. , 2012, Trends in cognitive sciences.

[34]  J. Hyönä,et al.  Affective processing requires awareness. , 2015, Journal of experimental psychology. General.

[35]  S. Dehaene,et al.  Brain Dynamics Underlying the Nonlinear Threshold for Access to Consciousness , 2007, PLoS biology.