Larger receptive fields revealed using Battenberg stimuli to assess contrast summation with moving patterns.

This study reevaluated the summation extent for moving stimuli using the Battenberg summation paradigm (Meese, 2010), which aims to circumvent internal noise changes with increasing stimulus size by holding display size constant. In the checkerboard stimulus, the size of the checks (luminance-modulated drifting gratings) was varied to measure dependence on signal area. Experiment 1 was a contrast detection task that used either signal checks alternating with uniform, mean luminance, checks (single-motion) or alternate checks containing gratings moving in opposite directions (opposing-motion). The latter was designed to test whether summation extent changes when segregating regions based on motion direction. Results showed summation over a square summation area with a side length of 3.33°, much larger than previous estimates of less than 1° for similar stimuli (Anderson & Burr, 1991). This was found for both motion combinations, providing no evidence that summation extent differs when segregating patterns based on direction, at contrast detection threshold. These results are in close agreement with those obtained for static patterns (Meese, 2010) and support the same underlying summation model. Experiment 2 was a contrast increment detection task conducted to determine whether differences in summation extent arise under suprathreshold contrast conditions. There was no dependence on check size for either condition across the range of sizes tested. This supports the suggestion that segmentation mechanisms dominate perception under high-contrast conditions, a potential adaptive strategy employed by the visual system.

[1]  G. B. Wetherill,et al.  Sequential Estimation of Quantal Response Curves , 1963 .

[2]  G. B. Wetherill,et al.  SEQUENTIAL ESTIMATION OF POINTS ON A PSYCHOMETRIC FUNCTION. , 1965, The British journal of mathematical and statistical psychology.

[3]  K. Nakayama,et al.  Optical Velocity Patterns, Velocity-Sensitive Neurons, and Space Perception: A Hypothesis , 1974, Perception.

[4]  R. Sekuler,et al.  The independence of channels in human vision selective for direction of movement. , 1975, The Journal of physiology.

[5]  Stuart L. Meyer,et al.  Data analysis for scientists and engineers , 1975 .

[6]  J. M. Foley,et al.  Contrast masking in human vision. , 1980, Journal of the Optical Society of America.

[7]  J. Robson,et al.  Probability summation and regional variation in contrast sensitivity across the visual field , 1981, Vision Research.

[8]  J. Rovamo,et al.  Temporal contrast sensitivity and cortical magnification , 1982, Vision Research.

[9]  D C Van Essen,et al.  Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed, and orientation. , 1983, Journal of neurophysiology.

[10]  J Allman,et al.  Direction- and Velocity-Specific Responses from beyond the Classical Receptive Field in the Middle Temporal Visual Area (MT) , 1985, Perception.

[11]  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.

[12]  D. Burr,et al.  Receptive field size of human motion detection units , 1987, Vision Research.

[13]  田中 啓治 Analysis of Local and Wide-Field Movements in the Superior Temporal Visual Areas of the Macaque Monkey , 1987 .

[14]  W. Newsome,et al.  A selective impairment of motion perception following lesions of the middle temporal visual area (MT) , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[15]  A. Hendrickson,et al.  Human photoreceptor topography , 1990, The Journal of comparative neurology.

[16]  John H. R. Maunsell,et al.  Coding of image contrast in central visual pathways of the macaque monkey , 1990, Vision Research.

[17]  D. Burr,et al.  Spatial summation properties of directionally selective mechanisms in human vision. , 1991, Journal of the Optical Society of America. A, Optics and image science.

[18]  Scott N. J. Watamaniuk,et al.  Temporal and spatial integration in dynamic random-dot stimuli , 1992, Vision Research.

[19]  J. Movshon,et al.  The analysis of visual motion: a comparison of neuronal and psychophysical performance , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[20]  K. Tanaka,et al.  Analysis of object motion in the ventral part of the medial superior temporal area of the macaque visual cortex. , 1993, Journal of neurophysiology.

[21]  O. Braddick Segmentation versus integration in visual motion processing , 1993, Trends in Neurosciences.

[22]  R. Born,et al.  Segregation of global and local motion processing in primate middle temporal visual area , 1993, Nature.

[23]  A. Watson,et al.  The optimal motion stimulus , 1995, Vision Research.

[24]  D. Burr,et al.  Two stages of visual processing for radial and circular motion , 1995, Nature.

[25]  G. Orban,et al.  Shape and Spatial Distribution of Receptive Fields and Antagonistic Motion Surrounds in the Middle Temporal Area (V5) of the Macaque , 1995, The European journal of neuroscience.

[26]  Preeti Verghese,et al.  Perceived visual speed constrained by image segmentation , 1996, Nature.

[27]  Anthony J. Movshon,et al.  Visual Response Properties of Striate Cortical Neurons Projecting to Area MT in Macaque Monkeys , 1996, The Journal of Neuroscience.

[28]  J. B. Levitt,et al.  Contrast dependence of contextual effects in primate visual cortex , 1997, nature.

[29]  D. Burr,et al.  Large receptive fields for optic flow detection in humans , 1998, Vision Research.

[30]  R. Shapley,et al.  Contrast's effect on spatial summation by macaque V1 neurons , 1999, Nature Neuroscience.

[31]  G Westheimer,et al.  Dynamics of spatial summation in primary visual cortex of alert monkeys. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[32]  R. Born,et al.  Segregation of Object and Background Motion in Visual Area MT Effects of Microstimulation on Eye Movements , 2000, Neuron.

[33]  R. Born Center-surround interactions in the middle temporal visual area of the owl monkey. , 2000, Journal of neurophysiology.

[34]  A. T. Smith,et al.  Estimating receptive field size from fMRI data in human striate and extrastriate visual cortex. , 2001, Cerebral cortex.

[35]  A. Cowey,et al.  Regional cerebral correlates of global motion perception: evidence from unilateral cerebral brain damage. , 2001, Brain : a journal of neurology.

[36]  J. Movshon,et al.  Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons. , 2002, Journal of neurophysiology.

[37]  Randolph Blake,et al.  Perceptual consequences of centre–surround antagonism in visual motion processing , 2003, Nature.

[38]  Duje Tadin,et al.  Linking Psychophysics and Physiology of Center-Surround Interactions in Visual Motion Processing , 2005 .

[39]  Christopher Patrick Taylor,et al.  Aging Reduces Center-Surround Antagonism in Visual Motion Processing , 2005, Neuron.

[40]  Christopher C. Pack,et al.  Contrast dependence of suppressive influences in cortical area MT of alert macaque. , 2005, Journal of neurophysiology.

[41]  R. Blake,et al.  Motion Perception Getting Better with Age? , 2005, Neuron.

[42]  Duje Tadin,et al.  Optimal size for perceiving motion decreases with contrast , 2005, Vision Research.

[43]  M. Georgeson,et al.  Binocular contrast vision at and above threshold. , 2006, Journal of vision.

[44]  G. Orban,et al.  Charting the Lower Superior Temporal Region, a New Motion-Sensitive Region in Monkey Superior Temporal Sulcus , 2006, The Journal of Neuroscience.

[45]  T. Meese,et al.  Correction for Meese and Summers, Area summation in human vision at and above detection threshold , 2008, Proceedings of the Royal Society B: Biological Sciences.

[46]  James M. G. Tsui,et al.  Brief motion stimuli preferentially activate surround-suppressed neurons in macaque visual area MT , 2008, Current Biology.

[47]  T. Kasamatsu,et al.  Collinear facilitation is independent of receptive-field expansion at low contrast , 2009, Experimental Brain Research.

[48]  R. Hess,et al.  Low-level mechanisms may contribute to paradoxical motion percepts. , 2009, Journal of vision.

[49]  S. Nishida,et al.  Spatial-frequency tuning in the pooling of one- and two-dimensional motion signals , 2009, Vision Research.

[50]  Davis M. Glasser,et al.  Low-level mechanisms do not explain paradoxical motion percepts. , 2010, Journal of vision.

[51]  T. Meese Spatially extensive summation of contrast energy is revealed by contrast detection of micro-pattern textures. , 2010, Journal of vision.

[52]  Á. Pascual-Leone,et al.  Improved Motion Perception and Impaired Spatial Suppression following Disruption of Cortical Area MT/V5 , 2011, The Journal of Neuroscience.

[53]  Christopher C. Pack,et al.  Contrast sensitivity of MT receptive field centers and surrounds. , 2011, Journal of neurophysiology.

[54]  T. Meese,et al.  Contrast summation across eyes and space is revealed along the entire dipper function by a "Swiss cheese" stimulus. , 2011, Journal of vision.

[55]  R. Born,et al.  Stimulus-Dependent Modulation of Suppressive Influences in MT , 2011, The Journal of Neuroscience.

[56]  T. Meese,et al.  Contrast integration over area is extensive: a three-stage model of spatial summation. , 2011, Journal of vision.

[57]  Timothy Ledgeway,et al.  What is the spatial integration area for global motion perception in human central vision , 2011 .

[58]  D. Burr,et al.  Motion psychophysics: 1985–2010 , 2011, Vision Research.

[59]  Oliver W. Layton,et al.  A motion pooling model of visually guided navigation explains human behavior in the presence of independently moving objects. , 2012, Journal of vision.

[60]  T. Meese,et al.  Theory and data for area summation of contrast with and without uncertainty: evidence for a noisy energy model. , 2012, Journal of vision.

[61]  Leo L. Lui,et al.  Breaking camouflage: responses of neurons in the middle temporal area to stimuli defined by coherent motion , 2012, The European journal of neuroscience.

[62]  Tim S. Meese,et al.  A common rule for integration and suppression of luminance contrast across eyes, space, time, and pattern , 2013, i-Perception.

[63]  J.,et al.  Optic Flow , 2014, Computer Vision, A Reference Guide.

[64]  Alex S. Baldwin,et al.  Modeling probability and additive summation for detection across multiple mechanisms under the assumptions of signal detection theory. , 2015, Journal of vision.

[65]  L. Lagasse,et al.  Global motion perception is independent from contrast sensitivity for coherent motion direction discrimination and visual acuity in 4.5-year-old children , 2015, Vision Research.

[66]  Sieu K. Khuu,et al.  Spatial summation across the central visual field: implications for visual field testing. , 2015, Journal of vision.

[67]  D. Tadin Suppressive mechanisms in visual motion processing: From perception to intelligence , 2015, Vision Research.

[68]  T. Meese,et al.  Fourth-root summation of contrast over area: No end in sight when spatially inhomogeneous sensitivity is compensated by a witch's hat. , 2015, Journal of vision.