A Hierarchical Model of Binocular Rivalry

Binocular rivalry is the alternating percept that can result when the two eyes see different scenes. Recent psychophysical evidence supports the notion that some aspects of binocular rivalry bear functional similarities to other bistable percepts. We build a model based on the hypothesis (Logothetis & Schall, 1989; Leopold & Logothetis, 1996; Logothetis, Leopold, & Sheinberg, 1996) that alternation can be generated by competition between top-down cortical explanations for the inputs, rather than by direct competition between the inputs. Recent neurophysiological evidence shows that some binocular neurons are modulated with the changing percept; others are not, even if they are selective between the stimuli presented to the eyes. We extend our model to a hierarchy to address these effects.

[1]  C. Wheatstone XVIII. Contributions to the physiology of vision. —Part the first. On some remarkable, and hitherto unobserved, phenomena of binocular vision , 1962, Philosophical Transactions of the Royal Society of London.

[2]  D. Mackay The Epistemological Problem for Automata , 1956 .

[3]  Charles Wheatstone On some remarkable and hitherto unobserved phenomena of binocular vision. , 1962 .

[4]  P. Whittle,et al.  Some experiments on figural effects in binocular rivalry , 1968 .

[5]  R. Fox,et al.  Binocular rivalry and reciprocal inhibition , 1969 .

[6]  A. Sanders Attention and performance III : proceedings of a symposium on attention and performance, held in Soesterberg August 4-8,1969, under the auspices of the Institute for Perception RVO-TNO, Soesterberg, the Netherlands , 1970 .

[7]  R. Fox,et al.  Increment detection thresholds during binocular rivalry suppression , 1970 .

[8]  R. Fox,et al.  Independence between binocular rivalry suppression duration and magnitude of suppression. , 1972, Journal of experimental psychology.

[9]  R. Fox,et al.  Binocular rivalry suppression: insensitive to spatial frequency and orientation change. , 1974, Vision research.

[10]  P. Walker Stochastic properties of binocular rivalry alternations , 1975 .

[11]  R. Blake Threshold conditions for binocular rivalry. , 1977, Journal of experimental psychology. Human perception and performance.

[12]  R. Blake,et al.  What is Suppressed during Binocular Rivalry? , 1980, Perception.

[13]  S Grossberg,et al.  Cortical dynamics of three-dimensional form, color, and brightness perception: II. Binocular theory , 1988, Perception & psychophysics.

[14]  Stephen Grossberg,et al.  A massively parallel architecture for a self-organizing neural pattern recognition machine , 1988, Comput. Vis. Graph. Image Process..

[15]  S. R. Lehky An Astable Multivibrator Model of Binocular Rivalry , 1988, Perception.

[16]  R. Blake A neural theory of binocular rivalry. , 1989, Psychological review.

[17]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[18]  N. Logothetis,et al.  Neuronal correlates of subjective visual perception. , 1989, Science.

[19]  T. Mueller A physiological model of binocular rivalry , 1990, Visual Neuroscience.

[20]  Randolph Blake,et al.  Organization of Binocular Pathways: Modeling and Data Related to Rivalry , 1991, Neural Computation.

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

[22]  A. Pece Redundancy reduction of a Gabor representation: a possible computational role for feedback from primary visual cortex to lateral geniculate nucleus , 1992 .

[23]  R. Blake,et al.  Do recognizable figures enjoy an advantage in binocular rivalry? , 1992, Journal of experimental psychology. Human perception and performance.

[24]  C. Tyler,et al.  Failure of rivalry at low contrast: Evidence of a suprathreshold binocular summation process , 1992, Vision Research.

[25]  M. Carandini,et al.  Summation and division by neurons in primate visual cortex. , 1994, Science.

[26]  Michael I. Jordan,et al.  MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES , 1996 .

[27]  Bialek,et al.  Random switching and optimal processing in the perception of ambiguous signals. , 1995, Physical review letters.

[28]  S. R. Lehky Binocular rivalry is not chaotic , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[29]  Geoffrey E. Hinton,et al.  The Helmholtz Machine , 1995, Neural Computation.

[30]  Geoffrey E. Hinton,et al.  The "wake-sleep" algorithm for unsupervised neural networks. , 1995, Science.

[31]  C. Blakemore,et al.  Interocular suppression in the primary visual cortex: a possible neural basis of binocular rivalry , 1995, Vision Research.

[32]  David Mumford,et al.  Neuronal Architectures for Pattern-theoretic Problems , 1995 .

[33]  Michael I. Jordan,et al.  Mean Field Theory for Sigmoid Belief Networks , 1996, J. Artif. Intell. Res..

[34]  Geoffrey E. Hinton,et al.  Varieties of Helmholtz Machine , 1996, Neural Networks.

[35]  J. Maunsell,et al.  No binocular rivalry in the LGN of alert macaque monkeys , 1996, Vision Research.

[36]  David J. Field,et al.  Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.

[37]  David A. Leopold,et al.  What is rivalling during binocular rivalry? , 1996, Nature.

[38]  I. Kovács,et al.  When the brain changes its mind: interocular grouping during binocular rivalry. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

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

[40]  Rajesh P. N. Rao,et al.  Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex , 1997, Neural Computation.

[41]  R. O’Reilly SIMULATION AND EXPLANATION IN NEUROPSYCHOLOGY AND BEYOND , 1999 .