Event-related potentials reveal an early advantage for luminance contours in the processing of objects.

Detection and identification of objects are the most crucial goals of visual perception. We studied the role of luminance and chromatic information for object processing by comparing performance of familiar, meaningful object contours with those of novel, non-object contours. Comparisons were made between full-color and reduced-color object (or non-object) contours. Full-color stimuli contained both chromatic and luminance information, whereas luminance information was absent in the reduced-color stimuli. All stimuli were made equally salient by fixing them at multiples of discrimination threshold contrast. In a subsequent electroencephalographic experiment observers were asked to classify contours as objects or non-objects. An advantage in accuracy was found for full-color stimuli over the reduced-color stimuli but only if the contours depicted objects as opposed to non-objects. Event-related potentials revealed the neural correlate of this object-specific luminance advantage. The amplitude of the centro-occipital N1 component was modulated by stimulus class with the effect being driven by the presence of luminance information. We conclude that high-level discrimination processes in the cortex start relatively early and exhibit object-selective effects only in the presence of luminance information. This is consistent with the superiority of luminance in subserving object identification processes.

[1]  Shlomo Bentin,et al.  Attention to hierarchical level influences attentional selection of spatial scale. , 2011, Journal of experimental psychology. Human perception and performance.

[2]  G. Pfurtscheller,et al.  Event-related synchronization (ERS) in the alpha band--an electrophysiological correlate of cortical idling: a review. , 1996, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[3]  Gregor Volberg,et al.  The integration of object levels and their content: a theory of global/local processing and related hemispheric differences. , 2005, Journal of experimental psychology. Human perception and performance.

[4]  G. Kreiman,et al.  Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex , 2009, Neuron.

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

[6]  L. M. Ward,et al.  Synchronous neural oscillations and cognitive processes , 2003, Trends in Cognitive Sciences.

[7]  Janus J. Kulikowski,et al.  Neural basis of fundamental filters in vision (chapter 1 in: Boook edited by Buracas GT, Ruksenas O, Boynton GM, Albright TD, ISBN 1 58603 181 3) , 2003 .

[8]  Á. Pascual-Leone,et al.  α-Band Electroencephalographic Activity over Occipital Cortex Indexes Visuospatial Attention Bias and Predicts Visual Target Detection , 2006, The Journal of Neuroscience.

[9]  J. Mollon,et al.  Luminance noise and the rapid determination of discrimination ellipses in colour deficiency , 1994, Vision Research.

[10]  Lynn C. Robertson,et al.  Interhemispheric relations in processing hierarchical patterns: Evidence from normal and commissurotomized subjects. , 1993 .

[11]  M. Bar A Cortical Mechanism for Triggering Top-Down Facilitation in Visual Object Recognition , 2003, Journal of Cognitive Neuroscience.

[12]  Shingo Yamagata,et al.  Cerebral Asymmetry of the “Top-Down” Allocation of Attention to Global and Local Features , 2000, The Journal of Neuroscience.

[13]  B. Gibson,et al.  Shape Recognition Inputs To Figure-Ground Organization in Three-Dimensional Displays , 1993, Cognitive Psychology.

[14]  Hans-Otto Karnath,et al.  Incidence of Visual Extinction After Left Versus Right Hemisphere Stroke , 2007, Stroke.

[15]  Simon Hanslmayr,et al.  EEG alpha oscillations in the preparation for global and local processing predict behavioral performance , 2009, Human brain mapping.

[16]  S. Thorpe,et al.  The Time Course of Visual Processing: From Early Perception to Decision-Making , 2001, Journal of Cognitive Neuroscience.

[17]  G B Arden,et al.  Separable evoked retinal and cortical potentials from each major visual pathway: preliminary results. , 1989, The British journal of ophthalmology.

[18]  Michael A Crognale,et al.  Development, maturation, and aging of chromatic visual pathways: VEP results. , 2002, Journal of vision.

[19]  Bin Yang,et al.  The effect of short-term training on cardinal and oblique orientation discrimination: an ERP study. , 2010, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[20]  C A Grimbergen,et al.  High-quality recording of bioelectric events , 1991, Medical and Biological Engineering and Computing.

[21]  K. D. De Valois,et al.  Orientation and spatial-frequency discrimination for luminance and chromatic gratings. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[22]  A. Watson,et al.  Quest: A Bayesian adaptive psychometric method , 1983, Perception & psychophysics.

[23]  D. Lehmann,et al.  Reference-free identification of components of checkerboard-evoked multichannel potential fields. , 1980, Electroencephalography and clinical neurophysiology.

[24]  Jasna Martinovic,et al.  Coding of Visual Object Features and Feature Conjunctions in the Human Brain , 2008, PloS one.

[25]  R. M. Boynton,et al.  Chromaticity diagram showing cone excitation by stimuli of equal luminance. , 1979, Journal of the Optical Society of America.

[26]  M. Mesulam,et al.  Spatial attention and neglect: parietal, frontal and cingulate contributions to the mental representation and attentional targeting of salient extrapersonal events. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[27]  Denis Brunet,et al.  Topographic ERP Analyses: A Step-by-Step Tutorial Review , 2008, Brain Topography.

[28]  BrunetDenis,et al.  Spatiotemporal analysis of multichannel EEG , 2011 .

[29]  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.

[30]  F X Alario,et al.  A set of 400 pictures standardized for French: Norms for name agreement, image agreement, familiarity, visual complexity, image variability, and age of acquisition , 1999, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[31]  M G Woldorff,et al.  Hemispheric asymmetries for different components of global/local attention occur in distinct temporo-parietal loci. , 2005, Cerebral cortex.

[32]  Matthias M. Müller,et al.  A cross-laboratory study of event-related gamma activity in a standard object recognition paradigm , 2006, NeuroImage.

[33]  Glyn W. Humphreys,et al.  Effects of saliency, not global dominance, in patients with left parietal damage , 2006, Neuropsychologia.

[34]  S Marrett,et al.  Local and global attention are mapped retinotopically in human occipital cortex. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[35]  G. Volberg,et al.  On the role of response conflicts and stimulus position for hemispheric differences in global/local processing: an ERP study , 2004, Neuropsychologia.

[36]  E. Vogel,et al.  Sensory gain control (amplification) as a mechanism of selective attention: electrophysiological and neuroimaging evidence. , 1998, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[37]  F. Varela,et al.  Perception's shadow: long-distance synchronization of human brain activity , 1999, Nature.

[38]  Christoph M. Michel,et al.  Spatiotemporal Analysis of Multichannel EEG: CARTOOL , 2011, Comput. Intell. Neurosci..

[39]  Richard B. Ivry,et al.  Hemispheric Asymmetries , 2000, Encyclopedia of Personality and Individual Differences.

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

[41]  R. Eskew Chromatic Detection and Discrimination , 2008 .

[42]  Erin M. Harley,et al.  How different spatial-frequency components contribute to visual information acquisition. , 2004, Journal of experimental psychology. Human perception and performance.

[43]  Joseph B. Hellige,et al.  Feature similarity and laterality effects in visual masking , 1983, Neuropsychologia.

[44]  Jasna Martinovic,et al.  The integration of local chromatic motion signals is sensitive to contrast polarity , 2011, Visual Neuroscience.

[45]  E. Vogel,et al.  The visual N1 component as an index of a discrimination process. , 2000, Psychophysiology.

[46]  M. Bar,et al.  Magnocellular Projections as the Trigger of Top-Down Facilitation in Recognition , 2007, The Journal of Neuroscience.

[47]  John S Werner,et al.  Topography of the chromatic pattern-onset VEP. , 2003, Journal of vision.

[48]  Maryanne Martin,et al.  Hemispheric specialization for local and global processing , 1979, Neuropsychologia.

[49]  Richard S. J. Frackowiak,et al.  Functional localization of the system for visuospatial attention using positron emission tomography. , 1997, Brain : a journal of neurology.

[50]  Guillaume A. Rousselet,et al.  Limits of Event-related Potential Differences in Tracking Object Processing Speed , 2007, Journal of Cognitive Neuroscience.

[51]  J. Hamm Object orientation and levels of identity. , 1997 .

[52]  G L Shulman,et al.  The Role of Spatial-Frequency Channels in the Perception of Local and Global Structure , 1986, Perception.

[53]  Sophie M. Wuerger,et al.  Towards a spatio-chromatic standard observer for detection , 2002, IS&T/SPIE Electronic Imaging.

[54]  Thomas Koenig,et al.  A Method to Determine the Presence of Averaged Event-Related Fields Using Randomization Tests , 2010, Brain Topography.

[55]  H. Spekreijse,et al.  Event-related desynchronization during anticipatory attention for an upcoming stimulus: a comparative EEG/MEG study , 2001, Clinical Neurophysiology.

[56]  M. Banich,et al.  Global-local interference modulated by communication between the hemispheres. , 1999, Journal of experimental psychology. General.

[57]  Shlomo Bentin,et al.  Local or Global? , 2010, Psychological science.

[58]  L. Robertson,et al.  Neuropsychological contributions to theories of part/whole organization , 1991, Cognitive Psychology.

[59]  R. Ivry,et al.  The two sides of perception , 1997 .

[60]  J. Rieger,et al.  Sensory and cognitive contributions of color to the recognition of natural scenes , 2000, Current Biology.

[61]  Lynn C. Robertson,et al.  Using spatial frequency scales for processing face features and face configuration: An ERP analysis , 2008, Brain Research.

[62]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[63]  C. A. Grimbergen,et al.  HIGH QUALITY RECORDING OF BIOELECTRIC EVENTS . I : INTERFERENCE REDUCTION , THEORY AND PRACTICE , 2009 .

[64]  J. Sergent The cerebral balance of power: confrontation or cooperation? , 1982, Journal of experimental psychology. Human perception and performance.

[65]  Vittorio Porciatti,et al.  Normative data for onset VEPs to red-green and blue-yellow chromatic contrast , 1999, Clinical Neurophysiology.

[66]  K. Mullen,et al.  Separating colour and luminance information in the visual system. , 1995, Spatial vision.

[67]  H. Barlow Vision Science: Photons to Phenomenology by Stephen E. Palmer , 2000, Trends in Cognitive Sciences.

[68]  C D Frith,et al.  Neural mechanisms involved in the processing of global and local aspects of hierarchically organized visual stimuli. , 1997, Brain : a journal of neurology.

[69]  Sophie M. Wuerger,et al.  Input of long- and middle-wavelength-sensitive cones to orientation discrimination , 1999 .

[70]  Tatsuya Sugata,et al.  Visual Evoked Potentials to Geometric Forms: Effects of Spatial Orientation , 1997 .

[71]  P. Lennie,et al.  Chromatic mechanisms in lateral geniculate nucleus of macaque. , 1984, The Journal of physiology.

[72]  C. Schroeder,et al.  A spatiotemporal profile of visual system activation revealed by current source density analysis in the awake macaque. , 1998, Cerebral cortex.

[73]  B. Gibson,et al.  Must Figure-Ground Organization Precede Object Recognition? An Assumption in Peril , 1994 .

[74]  Q. Vuong,et al.  The Respective Role of Low and High Spatial Frequencies in Supporting Configural and Featural Processing of Faces , 2005, Perception.

[75]  Guillaume A. Rousselet,et al.  Parallel processing in high-level categorization of natural images , 2002, Nature Neuroscience.

[76]  Kara D. Federmeier,et al.  Timed picture naming in seven languages , 2003, Psychonomic bulletin & review.

[77]  VanrullenRufin,et al.  The Time Course of Visual Processing: From Early Perception to Decision-Making , 2001 .

[78]  D. Watt Visual Processing: Computational Psychophysical and Cognitive Research , 1990 .

[79]  Christoph M. Michel,et al.  Electrical source dynamics in three functional localizer paradigms , 2010, NeuroImage.

[80]  Matthias M. Müller,et al.  Oscillatory brain activity dissociates between associative stimulus content in a repetition priming task in the human EEG. , 2004, Cerebral cortex.

[81]  H. Jasper Report of the committee on methods of clinical examination in electroencephalography , 1958 .

[82]  Joel R. Meyer,et al.  A large-scale distributed network for covert spatial attention: further anatomical delineation based on stringent behavioural and cognitive controls. , 1999, Brain : a journal of neurology.

[83]  J. Krauskopf,et al.  Cone Contrast and Opponent Modulation Color Spaces 565 ( a ) , 2022 .

[84]  R. Shapley,et al.  Space and Time Maps of Cone Photoreceptor Signals in Macaque Lateral Geniculate Nucleus , 2002, The Journal of Neuroscience.

[85]  Karl R. Gegenfurtner,et al.  Color Vision: From Genes to Perception , 1999 .

[86]  Bruno Rossion,et al.  Faces are "spatial"--holistic face perception is supported by low spatial frequencies. , 2006, Journal of experimental psychology. Human perception and performance.

[87]  Antígona Martínez,et al.  Hemispneric asymmetries in global and local processing: evidence from fMRI , 1997, Neuroreport.

[88]  M. Corbetta,et al.  Right Hemisphere Dominance during Spatial Selective Attention and Target Detection Occurs Outside the Dorsal Frontoparietal Network , 2010, The Journal of Neuroscience.

[89]  John J. Foxe,et al.  Parvocellular and Magnocellular Contributions to the Initial Generators of the Visual Evoked Potential: High-Density Electrical Mapping of the “C1” Component , 2008, Brain Topography.

[90]  R. M. Boynton Human color vision , 1979 .

[91]  Daniel Kersten,et al.  Is Color an Intrinsic Property of Object Representation? , 2003, Perception.

[92]  Catherine Tallon-Baudry,et al.  Induced γ-Band Activity during the Delay of a Visual Short-Term Memory Task in Humans , 1998, The Journal of Neuroscience.

[93]  P. Lennie,et al.  Functional Asymmetries in Visual Pathways Carrying S-Cone Signals in Macaque , 2008, The Journal of Neuroscience.

[94]  G G Celesia,et al.  The effects of luminance and chromatic background flicker on the human visual evoked potential , 1996, Visual Neuroscience.

[95]  Marco Bertamini,et al.  The chromatic input to global motion perception , 2003, Visual Neuroscience.

[96]  Gunther Wyszecki,et al.  Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition , 2000 .

[97]  Scott O. Murray,et al.  Hemispheric Asymmetry in Global/Local Processing: Effects of Stimulus Position and Spatial Frequency , 2002, NeuroImage.

[98]  R Shapley,et al.  Visual sensitivity and parallel retinocortical channels. , 1990, Annual review of psychology.

[99]  D. Broadbent The hidden preattentive processes. , 1977, The American psychologist.

[100]  D. Delis,et al.  Hemispheric specialization of memory for visual hierarchical stimuli , 1986, Neuropsychologia.

[101]  E. Halgren,et al.  Top-down facilitation of visual recognition. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[102]  Carmel Mevorach,et al.  Opposite biases in salience-based selection for the left and right posterior parietal cortex , 2006, Nature Neuroscience.

[103]  R. Reid,et al.  The koniocellular pathway in primate vision. , 2000, Annual review of neuroscience.

[104]  Jasna Martinovic,et al.  Induced Gamma-band Activity Elicited by Visual Representation of Unattended Objects , 2009, Journal of Cognitive Neuroscience.

[105]  G. V. Simpson,et al.  Anticipatory Biasing of Visuospatial Attention Indexed by Retinotopically Specific α-Bank Electroencephalography Increases over Occipital Cortex , 2000, The Journal of Neuroscience.

[106]  J. Victor,et al.  Response variability of marmoset parvocellular neurons , 2007, The Journal of physiology.

[107]  B. Gibson,et al.  Object recognition contributions to figure-ground organization: Operations on outlines and subjective contours , 1994, Perception & psychophysics.