Relative contributions of 2D and 3D cues in a texture segmentation task, implications for the roles of striate and extrastriate cortex in attentional selection.

Experimental evidence has given strong support to the theory that the primary visual cortex (V1) realizes a bottom-up saliency map (A. R. Koene & L. Zhaoping, 2007; Z. Li, 2002; L. Zhaoping, 2008a; L. Zhaoping & K. A. May, 2007). Unlike the conventional models of texture segmentation, this theory predicted that segmenting two textures in an image I(rel) comprising obliquely oriented bars would become much more difficult when a task-irrelevant texture I(ir) of spatially alternating horizontal and vertical bars is superposed on the original texture I(rel). The irrelevant texture I(ir) interferes with I(rel)'s ability to direct attention. This predicted interference was confirmed (L. Zhaoping & K. A. May, 2007) in the form of a prolonged task reaction time (RT). In this study, we investigate whether and how 3D depth perception, believed to be processed mostly beyond V1 and starting in V2 (J. S. Bakin, K. Nakayama, & C. D. Gilbert, 2000; B. G. Cumming & A. J. Parker, 2000; F. T. Qiu & R. von der Heydt, 2005; R. von der Heydt, H. Zhou, & H. S. Friedman, 2000), contribute additionally to direct attention. We measured the reduction of the interference or the RT when the position of the texture grid for I(ir) was offset horizontally from that for I(rel), forming an offset, 2D, stimulus. This reduction was compared with that when this positional offset was only present in the input image to one eye, or when it was in the opposite directions in the images for the two eyes, creating a 3D stimulus with a depth separation between I(ir) and I(rel). The contribution by 3D processes to attentional guidance would be manifested by any extra RT reduction associated with the 3D stimulus over the offset 2D stimulus. This 3D contribution was not present unless the task was so difficult that RT (by button press) based on 2D cues alone was longer than about 1 second. Our findings suggest that, without other top-down factors, V1 plays a dominant role in attentional guidance during an initial window of processing, while cortical areas beyond V1 play an increasing role in later processing. Subject-dependent variations in the manifestations of the 3D effects also suggest that this later, 3D, contribution to attentional guidance can be easily influenced by top-down control.

[1]  A. Parker Binocular depth perception and the cerebral cortex , 2007, Nature Reviews Neuroscience.

[2]  E DITORS,et al.  Who and what. , 1975, Pediatrics.

[3]  K R Gegenfurtner,et al.  Processing of color, form, and motion in macaque area V2 , 1996, Visual Neuroscience.

[4]  C. Koch,et al.  A saliency-based search mechanism for overt and covert shifts of visual attention , 2000, Vision Research.

[5]  J S McCarley,et al.  Sequential priming of 3-D perceptual organization , 2001, Perception & psychophysics.

[6]  J. Bullier,et al.  Parallel versus serial processing: new vistas on the distributed organization of the visual system , 1995, Current Opinion in Neurobiology.

[7]  G. Orban,et al.  At Least at the Level of Inferior Temporal Cortex, the Stereo Correspondence Problem Is Solved , 2003, Neuron.

[8]  A. Leventhal,et al.  Signal timing across the macaque visual system. , 1998, Journal of neurophysiology.

[9]  Kang Chen,et al.  Visual Attention and Eye Movements , 2008 .

[10]  Zhaoping Li,et al.  Feature-specific interactions in salience from combined feature contrasts: evidence for a bottom-up saliency map in V1. , 2007, Journal of vision.

[11]  J. Bergen,et al.  Computational Modeling of Visual Texture Segregation , 1991 .

[12]  L. Zhaoping Attention capture by eye of origin singletons even without awareness--a hallmark of a bottom-up saliency map in the primary visual cortex. , 2008, Journal of vision.

[13]  Stefan Treue,et al.  Feature-based attention influences motion processing gain in macaque visual cortex , 1999, Nature.

[14]  Hong Zhou,et al.  Representation of stereoscopic edges in monkey visual cortex , 2000, Vision Research.

[15]  D. V. van Essen,et al.  Neuronal responses to static texture patterns in area V1 of the alert macaque monkey. , 1992, Journal of neurophysiology.

[16]  P. Perona,et al.  Objects predict fixations better than early saliency. , 2008, Journal of vision.

[17]  Li Zhaoping,et al.  Pre-attentive segmentation and correspondence in stereo. , 2002, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[18]  Junying Yuan,et al.  Selective gating of visual signals by microstimulation of frontal cortex , 2022 .

[19]  R. von der Heydt,et al.  Coding of Border Ownership in Monkey Visual Cortex , 2000, The Journal of Neuroscience.

[20]  Andrew J. Parker,et al.  Local Disparity Not Perceived Depth Is Signaled by Binocular Neurons in Cortical Area V1 of the Macaque , 2000, The Journal of Neuroscience.

[21]  B Julesz,et al.  "Where" and "what" in vision. , 1985, Science.

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

[23]  C. Kennard,et al.  The role of visual salience in directing eye movements in visual object agnosia , 2009, Current Biology.

[24]  J. Duncan Selective attention and the organization of visual information. , 1984, Journal of experimental psychology. General.

[25]  Susan L. Franzel,et al.  Guided search: an alternative to the feature integration model for visual search. , 1989, Journal of experimental psychology. Human perception and performance.

[26]  D. V. van Essen,et al.  Processing of color, form and disparity information in visual areas VP and V2 of ventral extrastriate cortex in the macaque monkey , 1986, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[27]  M. Landy,et al.  Discrimination of orientation-defined texture edges , 1995, Vision Research.

[28]  B. Bergum,et al.  Attention and performance IX , 1982 .

[29]  Z Li,et al.  Contextual influences in V1 as a basis for pop out and asymmetry in visual search. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[30]  R. von der Heydt,et al.  Illusory contours and cortical neuron responses. , 1984, Science.

[31]  J. Jonides Voluntary versus automatic control over the mind's eye's movement , 1981 .

[32]  Gregory D Horwitz,et al.  Paucity of chromatic linear motion detectors in macaque V1. , 2005, Journal of vision.

[33]  C. Li,et al.  Extensive integration field beyond the classical receptive field of cat's striate cortical neurons--classification and tuning properties. , 1994, Vision research.

[34]  Zhaoping Li A saliency map in primary visual cortex , 2002, Trends in Cognitive Sciences.

[35]  D. V. van Essen,et al.  Response modulation by texture surround in primate area V1: Correlates of “popout” under anesthesia , 1999, Visual Neuroscience.

[36]  D. V. van Essen,et al.  A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[37]  M. Corbetta,et al.  Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.

[38]  John Duncan,et al.  A neural basis for visual search in inferior temporal cortex , 1993, Nature.

[39]  B. C. Motter Focal attention produces spatially selective processing in visual cortical areas V1, V2, and V4 in the presence of competing stimuli. , 1993, Journal of neurophysiology.

[40]  Kyle R Cave,et al.  Object-based attention with endogenous cuing and positional certainty , 2008, Perception & psychophysics.

[41]  F. Qiu,et al.  Neural representation of transparent overlay , 2007, Nature Neuroscience.

[42]  Zhe Chen Selective attention and the perception of an attended nontarget object. , 2005, Journal of experimental psychology. Human perception and performance.

[43]  Michael S. Landy,et al.  Visual perception of texture , 2002 .

[44]  Guy A Orban,et al.  Higher order visual processing in macaque extrastriate cortex. , 2008, Physiological reviews.

[45]  B. Julesz Textons, the elements of texture perception, and their interactions , 1981, Nature.

[46]  R. Haber,et al.  Visual Perception , 2018, Encyclopedia of Database Systems.

[47]  F. Crick Function of the thalamic reticular complex: the searchlight hypothesis. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[48]  K Nakayama,et al.  Visual attention to surfaces in three-dimensional space. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[49]  S Ullman,et al.  Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.

[50]  L. Zhaoping,et al.  A theory of a saliency map in primary visual cortex (V1) tested by psychophysics of colour–orientation interference in texture segmentation , 2006 .

[51]  Michael S. Landy,et al.  Computational models of visual processing , 1991 .

[52]  H. Jones,et al.  Visual cortical mechanisms detecting focal orientation discontinuities , 1995, Nature.

[53]  Ken Nakayama,et al.  Serial and parallel processing of visual feature conjunctions , 1986, Nature.

[54]  C. Gilbert,et al.  Improvement in visual sensitivity by changes in local context: Parallel studies in human observers and in V1 of alert monkeys , 1995, Neuron.

[55]  Zhaoping Li,et al.  Psychophysical Tests of the Hypothesis of a Bottom-Up Saliency Map in Primary Visual Cortex , 2007, PLoS Comput. Biol..

[56]  J. Allman,et al.  Stimulus specific responses from beyond the classical receptive field: neurophysiological mechanisms for local-global comparisons in visual neurons. , 1985, Annual review of neuroscience.

[57]  D. Hubel,et al.  Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.

[58]  E. J. Tehovnik,et al.  Saccadic eye movements evoked by microstimulation of striate cortex , 2003, The European journal of neuroscience.

[59]  J. Maunsell,et al.  Visual effects of lesions of cortical area V2 in macaques , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[60]  J. Richards Cognitive neuroscience of attention : a developmental perspective , 1998 .

[61]  Z Li,et al.  Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex. , 1999, Network.

[62]  Carlo Umiltà,et al.  Foreground–background segmentation and attention: A change blindness study , 2005, Psychological research.

[63]  D. Hubel,et al.  Anatomy and physiology of a color system in the primate visual cortex , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[64]  I. Fujita,et al.  Rejection of False Matches for Binocular Correspondence in Macaque Visual Cortical Area V4 , 2004, The Journal of Neuroscience.

[65]  Z Li,et al.  Pre-attentive segmentation in the primary visual cortex. , 1998, Spatial vision.

[66]  J. Bakin,et al.  Visual Responses in Monkey Areas V1 and V2 to Three-Dimensional Surface Configurations , 2000, The Journal of Neuroscience.

[67]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[68]  K. Nakayama,et al.  Sustained and transient components of focal visual attention , 1989, Vision Research.

[69]  L. Chalupa,et al.  The visual neurosciences , 2004 .

[70]  Li Jingling,et al.  Change Detection is Easier at Texture Border Bars When They are Parallel to the Border: Evidence for V1 Mechanisms of Bottom-up Salience , 2008, Perception.

[71]  F. Qiu,et al.  Figure-ground mechanisms provide structure for selective attention , 2007, Nature Neuroscience.

[72]  Li Zhaoping,et al.  Border Ownership from Intracortical Interactions in Visual Area V2 , 2005, Neuron.

[73]  Philip L. Smith,et al.  Psychology and neurobiology of simple decisions , 2004, Trends in Neurosciences.

[74]  R. von der Heydt,et al.  A neural model of figure-ground organization. , 2007, Journal of neurophysiology.

[75]  F. Qiu,et al.  Figure and Ground in the Visual Cortex: V2 Combines Stereoscopic Cues with Gestalt Rules , 2005, Neuron.

[76]  P Perona,et al.  Preattentive texture discrimination with early vision mechanisms. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[77]  R. Desimone,et al.  Interacting Roles of Attention and Visual Salience in V4 , 2003, Neuron.

[78]  G. DeAngelis,et al.  Cortical area MT and the perception of stereoscopic depth , 1998, Nature.

[79]  J. Duncan,et al.  Visual search and stimulus similarity. , 1989, Psychological review.

[80]  Wieske van Zoest,et al.  Saccadic target selection as a function of time. , 2006, Spatial vision.