The Time Course of Visual Processing: From Early Perception to Decision-Making

Experiments investigating the mechanisms involved in visual processing often fail to separate low-level encoding mechanisms from higher-level behaviorally relevant ones. Using an alternating dual-task event-related potential (ERP) experimental paradigm (animals or vehicles categorization) where targets of one task are intermixed among distractors of the other, we show that visual categorization of a natural scene involves different mechanisms with different time courses: a perceptual, task-independent mechanism, followed by a task-related, category-independent process. Although average ERP responses reflect the visual category of the stimulus shortly after visual processing has begun (e.g. 75-80 msec), this difference is not correlated with the subject's behavior until 150 msec poststimulus.

[1]  B. Libet,et al.  Time of conscious intention to act in relation to onset of cerebral activity (readiness-potential). The unconscious initiation of a freely voluntary act. , 1983, Brain : a journal of neurology.

[2]  K. H. Britten,et al.  Neuronal correlates of a perceptual decision , 1989, Nature.

[3]  D. Perrett,et al.  Time course of neural responses discriminating different views of the face and head. , 1992, Journal of neurophysiology.

[4]  K Tanaka,et al.  Neuronal mechanisms of object recognition. , 1993, Science.

[5]  Michael D. Rugg,et al.  Word and Nonword Repetition Within- and Across-Modality: An Event-Related Potential Study , 1995, Journal of Cognitive Neuroscience.

[6]  E T Rolls,et al.  Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex. , 1995, Journal of neurophysiology.

[7]  C. Koch,et al.  Are we aware of neural activity in primary visual cortex? , 1995, Nature.

[8]  M. Goodale,et al.  The visual brain in action , 1995 .

[9]  J. Braun,et al.  The functional anatomy of visual awareness. , 1996, Cold Spring Harbor symposia on quantitative biology.

[10]  Keiji Tanaka,et al.  Inferotemporal cortex and object vision. , 1996, Annual review of neuroscience.

[11]  C. Koch,et al.  Towards the neuronal correlate of visual awareness , 1996, Current Opinion in Neurobiology.

[12]  Denis Fize,et al.  Speed of processing in the human visual system , 1996, Nature.

[13]  M N Shadlen,et al.  Motion perception: seeing and deciding. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[14]  D. Jeffreys.  Evoked Potential Studies of Face and Object Processing , 1996 .

[15]  N. Logothetis,et al.  Activity changes in early visual cortex reflect monkeys' percepts during binocular rivalry , 1996, Nature.

[16]  B. Renault,et al.  Face and shape repetition effects in humans: a spatio‐temporal ERP study , 1997, Neuroreport.

[17]  C. Michel,et al.  Evidence for rapid face recognition from human scalp and intracranial electrodes , 1997, Neuroreport.

[18]  L Weiskrantz,et al.  Pattern of neuronal activity associated with conscious and unconscious processing of visual signals. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[19]  Nancy Kanwisher,et al.  A cortical representation of the local visual environment , 1998, Nature.

[20]  B. Renault,et al.  ERPs and chronometry of face recognition: following‐up Seeck et al. and George et al. , 1998, Neuroreport.

[21]  M. Kutas,et al.  Neurophysiological evidence for visual perceptual categorization of words and faces within 150 ms. , 1998, Psychophysiology.

[22]  E. Rolls,et al.  View-invariant representations of familiar objects by neurons in the inferior temporal visual cortex. , 1998, Cerebral cortex.

[23]  N. Logothetis.  Object vision and visual awareness. , 1998, Current opinion in neurobiology.

[24]  M. D’Esposito,et al.  An Area within Human Ventral Cortex Sensitive to “Building” Stimuli Evidence and Implications , 1998, Neuron.

[25]  J. Haxby,et al.  Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects , 1999, Nature Neuroscience.

[26]  T. Allison,et al.  Electrophysiological studies of human face perception. I: Potentials generated in occipitotemporal cortex by face and non-face stimuli. , 1999, Cerebral cortex.

[27]  I. Biederman,et al.  Localizing the cortical region mediating visual awareness of object identity. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[28]  W. Newsome,et al.  The neurobiology of cognition , 1999, Nature.

[29]  R. Vogels.  Categorization of complex visual images by rhesus monkeys. Part 2: single‐cell study , 1999, The European journal of neuroscience.

[30]  J. Schall,et al.  Neural selection and control of visually guided eye movements. , 1999, Annual review of neuroscience.

[31]  Leslie G. Ungerleider,et al.  Distributed representation of objects in the human ventral visual pathway. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[32]  Emilio Salinas,et al.  Sensing and deciding in the somatosensory system , 1999, Current Opinion in Neurobiology.

[33]  E. Halgren,et al.  Cognitive response profile of the human fusiform face area as determined by MEG. , 2000, Cerebral cortex.

[34]  Michèle Fabre-Thorpe,et al.  Brain Areas Involved in Rapid Categorization of Natural Images: An Event-Related fMRI Study , 2000, NeuroImage.

[35]  M. Tarr,et al.  The N170 occipito‐temporal component is delayed and enhanced to inverted faces but not to inverted objects: an electrophysiological account of face‐specific processes in the human brain , 2000, Neuroreport.

[36]  J. Pernier,et al.  Neurophysiological correlates of face gender processing in humans , 2000, The European journal of neuroscience.

[37]  S. Thorpe,et al.  A Limit to the Speed of Processing in Ultra-Rapid Visual Categorization of Novel Natural Scenes , 2001, Journal of Cognitive Neuroscience.

[38]  R VanRullen,et al.  Is it a Bird? Is it a Plane? Ultra-Rapid Visual Categorisation of Natural and Artifactual Objects , 2001, Perception.