Statistical mechanics of stereoscopic vision.

[1]  C. Blakemore,et al.  The neural mechanism of binocular depth discrimination , 1967, The Journal of physiology.

[2]  John E. W. Mayhew,et al.  Psychophysical and Computational Studies Towards a Theory of Human Stereopsis , 1981, Artif. Intell..

[3]  Sompolinsky,et al.  Spin-glass models of neural networks. , 1985, Physical review. A, General physics.

[4]  J J Hopfield,et al.  Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[5]  D Marr,et al.  Cooperative computation of stereo disparity. , 1976, Science.

[6]  J I Nelson,et al.  Globality and stereoscopic fusion in binocular vision. , 1975, Journal of theoretical biology.

[7]  G. Sperling.  Binocular Vision: A Physical and a Neural Theory , 1970 .

[8]  B. C. Motter,et al.  Responses of neurons in visual cortex (V1 and V2) of the alert macaque to dynamic random-dot stereograms , 1985, Vision Research.

[9]  C. Bachas.  Computer-intractability of the frustration model of a spin glass , 1984 .

[10]  E I Knudsen,et al.  Computational maps in the brain. , 1987, Annual review of neuroscience.

[11]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  S. Edwards,et al.  Theory of spin glasses , 1975 .

[13]  Teuvo Kohonen,et al.  Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.

[14]  T. Kohonen.  Self-organized formation of topographically correct feature maps , 1982 .

[15]  N. Sugie,et al.  A scheme for binocular depth perception suggested by neurophysiological evidence , 1977, Biological Cybernetics.

[16]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[17]  J. J. Hopfield,et al.  ‘Unlearning’ has a stabilizing effect in collective memories , 1983, Nature.

[18]  K. Binder,et al.  Spin glasses: Experimental facts, theoretical concepts, and open questions , 1986 .

[19]  A. Bray,et al.  Metastable states in spin glasses , 1980 .

[20]  R. Glauber.  Time‐Dependent Statistics of the Ising Model , 1963 .

[21]  C M Brown,et al.  Computer Vision and Natural Constraints , 1984, Science.

[22]  S. Kirkpatrick,et al.  Solvable Model of a Spin-Glass , 1975 .

[23]  W. A. Little,et al.  Analytic study of the memory storage capacity of a neural network , 1978 .

[24]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[25]  B. Julesz.  Binocular depth perception of computer-generated patterns , 1960 .

[26]  B. Julesz,et al.  Extension of Panum's fusional area in binocularly stabilized vision. , 1967, Journal of the Optical Society of America.

[27]  F. Barahona.  On the computational complexity of Ising spin glass models , 1982 .

[28]  J. J. Hopfield,et al.  “Neural” computation of decisions in optimization problems , 1985, Biological Cybernetics.

[29]  J. Hopfield,et al.  Computing with neural circuits: a model. , 1986, Science.

[30]  Geoffrey E. Hinton,et al.  Parallel visual computation , 1983, Nature.

[31]  T. Poggio,et al.  The analysis of stereopsis. , 1984, Annual review of neuroscience.

[32]  Parvati Dev,et al.  Perception of Depth Surfaces in Random-Dot Stereograms: A Neural Model , 1975, Int. J. Man Mach. Stud..