Global shape processing: A behavioral and electrophysiological analysis of both contour and texture processing.

The number of corners on the boundary of a closed contour is thought to be particularly critical for shape detection and discrimination. The aim of the current study was to examine the relative contribution of the number of corners and the angle between corners to shape discrimination in complex visual scenes as well as to determine the time course and neural substrates of global shape processing based on the presence or absence of these specific features. In Experiment 1, event-related potentials were recorded while participants discriminated between two radial frequency (RF) patterns with the same maximum local curvature defining corners but varying arrangements of those corners. The results showed that the angle separating corners was more critical than the overall number of corners for discrimination performance. An enhanced negativity (posterior N220) over the occipital lobe was elicited following the presentation of an RF with three modulation cycles (RF3) but not following a circle, suggesting that the posterior N220 is sensitive to variation in curvature on a contour. In Experiment 2, we confirm the primary effect of the presence of corners on the amplitude of the posterior N220 component and extend the stimuli to include shapes defined by texture. Source localization on the N170 and N220 components was conducted in Experiment 2, and a source in cortical area V4 was identified. These findings suggest that corners contain vital information for the discrimination of shapes. Additionally, this study shows that the perceptual characteristics and neuroanatomical substrates can be detected using electrophysiological measures.

[1]  David Badcock,et al.  Cues to closed-contour shape revealed using visual search. , 2015, Journal of vision.

[2]  Vanessa K Bowden,et al.  Modulated textures with shape structures implied by a closed flow are processed globally. , 2015, Journal of vision.

[3]  H. Wilson,et al.  From orientations to objects: Configural processing in the ventral stream. , 2014, Journal of vision.

[4]  J Edwin Dickinson,et al.  Detecting shape change: characterizing the interaction between texture-defined and contour-defined borders. , 2013, Journal of vision.

[5]  D. Badcock,et al.  Near Their Thresholds for Detection, Shapes Are Discriminated by the Angular Separation of Their Corners , 2013, PloS one.

[6]  Gunter Loffler,et al.  Set-size effects for sampled shapes: experiments and model , 2013, Front. Comput. Neurosci..

[7]  Gunter Loffler,et al.  Detecting shapes in noise: tuning characteristics of global shape mechanisms , 2013, Front. Comput. Neurosci..

[8]  David R. Badcock,et al.  Detecting global form: separate processes required for Glass and radial frequency patterns , 2013, Front. Comput. Neurosci..

[9]  Mark Hymers,et al.  Specialized and independent processing of orientation and shape in visual field maps LO1 and LO2 , 2013, Nature Neuroscience.

[10]  J Edwin Dickinson,et al.  Further evidence that local cues to shape in RF patterns are integrated globally. , 2012, Journal of vision.

[11]  Robert F. Hess,et al.  Global shape processing involves a hierarchy of integration stages , 2011, Vision Research.

[12]  Colin W G Clifford,et al.  Cortical and behavioral sensitivity to eccentric polar form. , 2011, Journal of vision.

[13]  Kechen Zhang,et al.  A Sparse Object Coding Scheme in Area V4 , 2011, Current Biology.

[14]  Frédéric J A M Poirier,et al.  A biologically plausible model of human shape symmetry perception. , 2011, Journal of vision.

[15]  Stephen J. Anderson,et al.  MEG Responses to the Perception of Global Structure within Glass Patterns , 2010, PloS one.

[16]  Justin M. Ales,et al.  V1 is not uniquely identified by polarity reversals of responses to upper and lower visual field stimuli , 2010, NeuroImage.

[17]  Peter U. Tse,et al.  V3A processes contour curvature as a trackable feature for the perception of rotational motion , 2010 .

[18]  Jason Bell,et al.  Local motion effects on form in radial frequency patterns. , 2010, Journal of vision.

[19]  Arash Afraz,et al.  The gender-specific face aftereffect is based in retinotopic not spatiotopic coordinates across several natural image transformations. , 2009, Journal of vision.

[20]  David R. Badcock,et al.  Narrow-band radial frequency shape channels revealed by sub-threshold summation , 2009, Vision Research.

[21]  D. Badcock,et al.  Selective attention contributes to global processing in vision. , 2009, Journal of vision.

[22]  Johan Wagemans,et al.  Perceived Shape Similarity among Unfamiliar Objects and the Organization of the Human Object Vision Pathway , 2008, The Journal of Neuroscience.

[23]  Gunter Loffler,et al.  Perception of contours and shapes: Low and intermediate stage mechanisms , 2008, Vision Research.

[24]  David R. Badcock,et al.  Radial frequency adaptation suggests polar-based coding of local shape cues , 2008, Vision Research.

[25]  Topi Tanskanen,et al.  From local to global: Cortical dynamics of contour integration. , 2008, Journal of vision.

[26]  Z. Kourtzi,et al.  Neural coding of global form in the human visual cortex. , 2008, Journal of neurophysiology.

[27]  Dawn Vreven,et al.  Detecting Structure in Glass Patterns: An Interocular Transfer Study , 2007, Perception.

[28]  David R. Badcock,et al.  Selectivity for coherence in polar orientation in human form vision , 2007, Vision Research.

[29]  Serge O. Dumoulin,et al.  Cortical specialization for concentric shape processing , 2007, Vision Research.

[30]  Manfred Fahle,et al.  Closure facilitates contour integration , 2007, Vision Research.

[31]  M. Seghier,et al.  Functional neuroimaging findings on the human perception of illusory contours , 2006, Neuroscience & Biobehavioral Reviews.

[32]  Manfred Fahle,et al.  The electrophysiological correlate of contour integration is modulated by task demands , 2006, Brain Research.

[33]  M. Brodeur,et al.  The effect of interpolation and perceptual difficulty on the visual potentials evoked by illusory figures , 2006, Brain Research.

[34]  Francesca Pei,et al.  Event-related potentials show configural specificity of global form processing , 2005, Neuroreport.

[35]  Christoph S. Herrmann,et al.  Circles are different: The perception of Glass patterns modulates early event-related potentials , 2005, Vision Research.

[36]  Justin L. Gardner,et al.  Contrast Adaptation and Representation in Human Early Visual Cortex , 2005, Neuron.

[37]  Robert F. Hess,et al.  Contributions of local orientation and position features to shape integration , 2005, Vision Research.

[38]  Svetlana S. Georgieva,et al.  Using Functional Magnetic Resonance Imaging to Assess Adaptation and Size Invariance of Shape Processing by Humans and Monkeys , 2005, The Journal of Neuroscience.

[39]  K. Grill-Spector,et al.  The human visual cortex. , 2004, Annual review of neuroscience.

[40]  Ilmari Kurki,et al.  Shape perception in human vision: specialized detectors for concentric spatial structures? , 2004, Neuroscience Letters.

[41]  Margot J. Taylor,et al.  N170 or N1? Spatiotemporal differences between object and face processing using ERPs. , 2004, Cerebral cortex.

[42]  Robert F Hess,et al.  Sensitivity for global shape detection. , 2003, Journal of vision.

[43]  Jack L. Gallant,et al.  Shape Perception: Complex Contour Representation in Visual Area V4 , 2003, Current Biology.

[44]  Gunter Loffler,et al.  Local and global contributions to shape discrimination , 2003, Vision Research.

[45]  R. F Hess,et al.  Contour integration and cortical processing , 2003, Journal of Physiology-Paris.

[46]  C. Connor,et al.  Population coding of shape in area V4 , 2002, Nature Neuroscience.

[47]  D. Senkowski,et al.  Effects of task difficulty on evoked gamma activity and ERPs in a visual discrimination task , 2002, Clinical Neurophysiology.

[48]  Anthony J. Movshon,et al.  Signals in Macaque Striate Cortical Neurons that Support the Perception of Glass Patterns , 2002, The Journal of Neuroscience.

[49]  John J. Foxe,et al.  The Spatiotemporal Dynamics of Illusory Contour Processing: Combined High-Density Electrical Mapping, Source Analysis, and Functional Magnetic Resonance Imaging , 2002, The Journal of Neuroscience.

[50]  C. Connor,et al.  Shape representation in area V4: position-specific tuning for boundary conformation. , 2001, Journal of neurophysiology.

[51]  N. Kanwisher,et al.  The lateral occipital complex and its role in object recognition , 2001, Vision Research.

[52]  C. Herrmann,et al.  Gestalt perception modulates early visual processing , 2001, Neuroreport.

[53]  Gunter Loffler,et al.  Detecting shape deformation of moving patterns , 2001, Vision Research.

[54]  J. Shedden,et al.  ERP time course of perceptual and post-perceptual mechanisms of spatial selection. , 2001, Brain research. Cognitive brain research.

[55]  Ravi S. Menon,et al.  An fMRI study of the selective activation of human extrastriate form vision areas by radial and concentric gratings , 2000, Current Biology.

[56]  Robert Desimone,et al.  Cortical connections of area V4 in the macaque. , 2000, Cerebral cortex.

[57]  J. Gallant,et al.  A Human Extrastriate Area Functionally Homologous to Macaque V4 , 2000, Neuron.

[58]  A. Hayes,et al.  Apparent position governs contour–element binding by the visual system , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[59]  John J. Foxe,et al.  Activation Timecourse of Ventral Visual Stream Object-recognition Areas: High Density Electrical Mapping of Perceptual Closure Processes , 2000, Journal of Cognitive Neuroscience.

[60]  J L Lancaster,et al.  Automated Talairach Atlas labels for functional brain mapping , 2000, Human brain mapping.

[61]  N. Kanwisher,et al.  Cortical Regions Involved in Perceiving Object Shape , 2000, The Journal of Neuroscience.

[62]  S. Hevenor,et al.  The effect of variability of unattended information on global and local processing: evidence for lateralization at early stages of processing , 2000, Neuropsychologia.

[63]  Steven C. Dakin,et al.  Are judgements of circularity local or global? , 1999, Vision Research.

[64]  Mitchell Valdes-Sosa,et al.  Visual evoked potentials related to motion-onset are modulated by attention , 1999, Vision Research.

[65]  Victor A. F. Lamme,et al.  Separate processing dynamics for texture elements, boundaries and surfaces in primary visual cortex of the macaque monkey. , 1999, Cerebral cortex.

[66]  H. Wilson,et al.  Detection and recognition of radial frequency patterns 1 This research was first reported at the annual meeting of the Association for Research in Vision and Ophthamology, 1996. 1 , 1998, Vision Research.

[67]  P. Lennie.  Single Units and Visual Cortical Organization , 1998, Perception.

[68]  H. Wilson,et al.  Concentric orientation summation in human form vision , 1997, Vision Research.

[69]  N. Nguyen,et al.  The Effect of Stimulus Size on Human Cortical Potentials Evoked by Chromatic Patterns , 1997, Vision Research.

[70]  D. C. Essen,et al.  Neural responses to polar, hyperbolic, and Cartesian gratings in area V4 of the macaque monkey. , 1996, Journal of neurophysiology.

[71]  S J Luck,et al.  Effects of spatial cuing on luminance detectability: psychophysical and electrophysiological evidence for early selection. , 1994, Journal of experimental psychology. Human perception and performance.

[72]  H. Heinze,et al.  Electrophysiological correlates of hierarchical stimulus processing: Dissociation between onset and later stages of global and local target processing , 1993, Neuropsychologia.

[73]  David J. Field,et al.  Contour integration by the human visual system: Evidence for a local “association field” , 1993, Vision Research.

[74]  Olaf Kübler,et al.  Simulation of neural contour mechanisms: from simple to end-stopped cells , 1992, Vision Research.

[75]  D. Guthrie,et al.  Significance testing of difference potentials. , 1991, Psychophysiology.

[76]  I. Biederman.  Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[77]  C. Eriksen,et al.  Visual attention within and around the field of focal attention: A zoom lens model , 1986, Perception & psychophysics.

[78]  J. Daugman.  Spatial visual channels in the fourier plane , 1984, Vision Research.

[79]  L. Glass.  Moiré Effect from Random Dots , 1969, Nature.

[80]  F. Attneave.  Some informational aspects of visual perception. , 1954, Psychological review.

[81]  Johan Wagemans,et al.  Integration of contour and surface information in shape detection , 2011, Vision Research.

[82]  Kartik K. Sreenivasan,et al.  Selective Attention Supports Working Memory Maintenance by Modulating Perceptual Processing of Distractors , 2007, Journal of Cognitive Neuroscience.

[83]  Michael Scherg,et al.  Functional imaging and localization of electromagnetic brain activity , 2005, Brain Topography.

[84]  Eero P. Simoncelli,et al.  Natural image statistics and neural representation. , 2001, Annual review of neuroscience.

[85]  D. Ferster,et al.  Neural mechanisms of orientation selectivity in the visual cortex. , 2000, Annual review of neuroscience.

[86]  Alan C. Evans,et al.  Automated labeling of the human brain: A preliminary report on the development and evaluation of a forward‐transform method , 1997, Human brain mapping.

[87]  D. J. Felleman,et al.  Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.