Disparity processing in primary visual cortex

The first step in binocular stereopsis is to match features on the left retina with the correct features on the right retina, discarding ‘false’ matches. The physiological processing of these signals starts in the primary visual cortex, where the binocular energy model has been a powerful framework for understanding the underlying computation. For this reason, it is often used when thinking about how binocular matching might be performed beyond striate cortex. But this step depends critically on the accuracy of the model, and real V1 neurons show several properties that suggest they may be less sensitive to false matches than the energy model predicts. Several recent studies provide empirical support for an extended version of the energy model, in which the same principles are used, but the responses of single neurons are described as the sum of several subunits, each of which follows the principles of the energy model. These studies have significantly improved our understanding of the role played by striate cortex in the stereo correspondence problem. This article is part of the themed issue ‘Vision in our three-dimensional world’.

[1]  Izumi Ohzawa,et al.  Complex Cells in the Cat Striate Cortex Have Multiple Disparity Detectors in the Three-Dimensional Binocular Receptive Fields , 2010, The Journal of Neuroscience.

[2]  I. Ohzawa,et al.  Contrast Gain Control in the Visual Cortex: Monocular Versus Binocular Mechanisms , 2000, The Journal of Neuroscience.

[3]  B. G. Cumming,et al.  Responses of primary visual cortical neurons to binocular disparity without depth perception , 1997, Nature.

[4]  A. Parker,et al.  Receptive Field Size in V1 Neurons Limits Acuity for Perceiving Disparity Modulation , 2004, The Journal of Neuroscience.

[5]  Ning Qian,et al.  Binocular Receptive Field Models, Disparity Tuning, and Characteristic Disparity , 1996, Neural Computation.

[6]  D. Heeger Normalization of cell responses in cat striate cortex , 1992, Visual Neuroscience.

[7]  Takahiro Doi,et al.  Cross-matching: a modified cross-correlation underlying threshold energy model and match-based depth perception , 2014, Front. Comput. Neurosci..

[8]  Takahiro Doi,et al.  Temporal channels and disparity representations in stereoscopic depth perception. , 2013, Journal of vision.

[9]  J. Touryan,et al.  Isolation of Relevant Visual Features from Random Stimuli for Cortical Complex Cells , 2002, The Journal of Neuroscience.

[10]  Bruce G Cumming,et al.  A simple model accounts for the response of disparity-tuned V1 neurons to anticorrelated images , 2002, Visual Neuroscience.

[11]  Takahisa M. Sanada,et al.  Contributions of excitation and suppression in shaping spatial frequency selectivity of V1 neurons as revealed by binocular measurements. , 2012, Journal of neurophysiology.

[12]  David J. Fleet,et al.  Neural encoding of binocular disparity: Energy models, position shifts and phase shifts , 1996, Vision Research.

[13]  Paul B. Hibbard,et al.  Depth Perception Not Found in Human Observers for Static or Dynamic Anti-Correlated Random Dot Stereograms , 2014, PloS one.

[14]  Richard Szeliski,et al.  A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, International Journal of Computer Vision.

[15]  B. Rogers,et al.  Anisotropies in the perception of stereoscopic surfaces: The role of orientation disparity , 1993, Vision Research.

[16]  D Marr,et al.  A computational theory of human stereo vision. , 1979, Proceedings of the Royal Society of London. Series B, Biological sciences.

[17]  A. B. Bonds Role of Inhibition in the Specification of Orientation Selectivity of Cells in the Cat Striate Cortex , 1989, Visual Neuroscience.

[18]  A. Parker,et al.  Range and mechanism of encoding of horizontal disparity in macaque V1. , 2002, Journal of neurophysiology.

[19]  R. Freeman,et al.  Stereoscopic depth processing in the visual cortex: a coarse-to-fine mechanism , 2003, Nature Neuroscience.

[20]  Takahiro Doi,et al.  Matching and correlation computations in stereoscopic depth perception. , 2011, Journal of vision.

[21]  de Ruyter van Steveninck,et al.  Real-time performance of a movement-sensitive neuron in the blowfly visual system , 1986 .

[22]  M. Landy,et al.  Why Is Spatial Stereoresolution So Low? , 2004, The Journal of Neuroscience.

[23]  H. Wagner,et al.  A threshold explains modulation of neural responses to opposite-contrast stereograms , 2001, Neuroreport.

[24]  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.

[25]  I. Ohzawa,et al.  The binocular organization of complex cells in the cat's visual cortex. , 1986, Journal of neurophysiology.

[26]  Paul R. Martin,et al.  Binocular Visual Responses in the Primate Lateral Geniculate Nucleus , 2015, Current Biology.

[27]  Bruce G. Cumming,et al.  Adaptation to Natural Binocular Disparities in Primate V1 Explained by a Generalized Energy Model , 2008, Neuron.

[28]  Eero P. Simoncelli,et al.  Spatiotemporal Elements of Macaque V1 Receptive Fields , 2005, Neuron.

[29]  R. Freeman,et al.  Binocular interaction in the dorsal lateral geniculate nucleus of the cat , 2004, Experimental Brain Research.

[30]  I. Ohzawa,et al.  Integration of Multiple Spatial Frequency Channels in Disparity-Sensitive Neurons in the Primary Visual Cortex , 2015, The Journal of Neuroscience.

[31]  Daisuke Kato,et al.  Effects of generalized pooling on binocular disparity selectivity of neurons in the early visual cortex , 2016, Philosophical Transactions of the Royal Society B: Biological Sciences.

[32]  C. Blakemore,et al.  A second neural mechanism of binocular depth discrimination , 1972, The Journal of physiology.

[33]  B. Cumming,et al.  Suppressive Mechanisms in Monkey V1 Help to Solve the Stereo Correspondence Problem , 2011, The Journal of Neuroscience.

[34]  Bruce G. Cumming,et al.  Delayed suppression shapes disparity selective responses in monkey V1. , 2014, Journal of Neurophysiology.

[35]  Bruce G Cumming,et al.  Sensors for impossible stimuli may solve the stereo correspondence problem , 2007, Nature Neuroscience.

[36]  A. Parker,et al.  Quantitative analysis of the responses of V1 neurons to horizontal disparity in dynamic random-dot stereograms. , 2002, Journal of neurophysiology.

[37]  Eero P. Simoncelli,et al.  Partitioning neuronal variability , 2014, Nature Neuroscience.

[38]  I. Ohzawa,et al.  Encoding of binocular disparity by complex cells in the cat's visual cortex. , 1996, Journal of neurophysiology.

[39]  D. G. Albrecht,et al.  Striate cortex of monkey and cat: contrast response function. , 1982, Journal of neurophysiology.

[40]  B. Cumming,et al.  Testing quantitative models of binocular disparity selectivity in primary visual cortex. , 2003, Journal of neurophysiology.

[41]  Christopher W Tyler,et al.  Recurrent Connectivity Can Account for the Dynamics of Disparity Processing in V1 , 2013, The Journal of Neuroscience.

[42]  Jonathan D. Victor,et al.  Reading a population code: a multi-scale neural model for representing binocular disparity , 2003, Vision Research.

[43]  William Bialek,et al.  Real-time performance of a movement-sensitive neuron in the blowfly visual system: coding and information transfer in short spike sequences , 1988, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[44]  D. Tolhurst,et al.  Non-linear temporal summation by simple cells in cat striate cortex demonstrated by failure of superposition , 2005, Experimental Brain Research.

[45]  I. Ohzawa,et al.  Stereoscopic depth discrimination in the visual cortex: neurons ideally suited as disparity detectors. , 1990, Science.

[46]  Takahisa M. Sanada,et al.  Encoding of three-dimensional surface slant in cat visual areas 17 and 18. , 2006, Journal of neurophysiology.

[47]  Eero P. Simoncelli,et al.  To appear in: The New Cognitive Neurosciences, 3rd edition Editor: M. Gazzaniga. MIT Press, 2004. Characterization of Neural Responses with Stochastic Stimuli , 2022 .

[48]  Bruce G Cumming,et al.  Mechanisms Underlying the Transformation of Disparity Signals from V1 to V2 in the Macaque , 2008, The Journal of Neuroscience.

[49]  Ralph D Freeman,et al.  Temporal dynamics of binocular disparity processing in the central visual pathway. , 2004, Journal of neurophysiology.

[50]  A. Parker,et al.  Neuronal Computation of Disparity in V1 Limits Temporal Resolution for Detecting Disparity Modulation , 2005, Journal of Neuroscience.