A Neural Network Model of
暂无分享,去创建一个
[1] John H. R. Maunsell,et al. Functional properties of neurons in middle temporal visual area of the macaque monkey. II. Binocular interactions and sensitivity to binocular disparity. , 1983, Journal of neurophysiology.
[2] N. Logothetis,et al. View-dependent object recognition by monkeys , 1994, Current Biology.
[3] Terrence J. Sejnowski,et al. Slow Feature Analysis: Unsupervised Learning of Invariances , 2002, Neural Computation.
[4] T. Wiesel,et al. Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[5] Ali Shokoufandeh,et al. Shock Graphs and Shape Matching , 1998, International Journal of Computer Vision.
[6] Stefan Treue,et al. Feature-based attention influences motion processing gain in macaque visual cortex , 1999, Nature.
[7] Kunihiko Fukushima,et al. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.
[8] D. J. Felleman,et al. Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.
[9] Tomaso Poggio,et al. Image Representations for Visual Learning , 1996, Science.
[10] Anil K. Jain,et al. Handbook of Face Recognition, 2nd Edition , 2011 .
[11] Hanchuan Peng,et al. Energy function for learning invariance in multilayer perceptron , 1998 .
[12] Stephen Grossberg,et al. Art 2: Self-Organization Of Stable Category Recognition Codes For Analog Input Patterns , 1988, Other Conferences.
[13] P. D. Spear,et al. Relationship between numbers of retinal ganglion cells and lateral geniculate neurons in the rhesus monkey , 1996, Visual Neuroscience.
[14] Bartlett W. Mel. SEEMORE: Combining Color, Shape, and Texture Histogramming in a Neurally Inspired Approach to Visual Object Recognition , 1997, Neural Computation.
[15] F. Campbell,et al. Spatial-frequency discrimination in human vision. , 1970, Journal of the Optical Society of America.
[16] R. Shepard,et al. Mental Rotation of Three-Dimensional Objects , 1971, Science.
[17] G. Bi,et al. Synaptic modification by correlated activity: Hebb's postulate revisited. , 2001, Annual review of neuroscience.
[18] A. King,et al. Neural processing: The logic of multiplication in single neurons , 2001, Current Biology.
[19] Andrew Zisserman,et al. Introduction—towards a new framework for vision , 1992 .
[20] Rodney A. Brooks,et al. Symbolic Reasoning Among 3-D Models and 2-D Images , 1981, Artif. Intell..
[21] D H HUBEL,et al. RECEPTIVE FIELDS AND FUNCTIONAL ARCHITECTURE IN TWO NONSTRIATE VISUAL AREAS (18 AND 19) OF THE CAT. , 1965, Journal of neurophysiology.
[22] P. Mamassian,et al. Prior knowledge on the illumination position , 2001, Cognition.
[23] E. Rolls,et al. INVARIANT FACE AND OBJECT RECOGNITION IN THE VISUAL SYSTEM , 1997, Progress in Neurobiology.
[24] G. Kanizsa,et al. Organization in Vision: Essays on Gestalt Perception , 1979 .
[25] I. Biederman. Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.
[26] Edmund T. Rolls,et al. Invariant recognition of feature combinations in the visual system , 2002, Biological Cybernetics.
[27] N. Spruston,et al. Dendritic glutamate receptor channels in rat hippocampal CA3 and CA1 pyramidal neurons. , 1995, The Journal of physiology.
[28] W. Levy,et al. Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus , 1983, Neuroscience.
[29] Roland Baddeley,et al. Optimal, Unsupervised Learning in Invariant Object Recognition , 1997, Neural Computation.
[30] Claus Bundesen,et al. Visual Selective Attention: Outlines of a Choice Model, a Race Model and a Computational Theory , 1998 .
[31] P. Perona,et al. Rapid natural scene categorization in the near absence of attention , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[32] M. Tovée,et al. Translation invariance in the responses to faces of single neurons in the temporal visual cortical areas of the alert macaque. , 1994, Journal of neurophysiology.
[33] Ralph Linsker,et al. Towards an Organizing Principle for a Layered Perceptual Network , 1987, NIPS.
[34] Eero P. Simoncelli,et al. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients , 2000, International Journal of Computer Vision.
[35] A. Yuille,et al. Object perception as Bayesian inference. , 2004, Annual review of psychology.
[36] R. Desimone,et al. Columnar organization of directionally selective cells in visual area MT of the macaque. , 1984, Journal of neurophysiology.
[37] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[38] D. Marr,et al. Representation and recognition of the spatial organization of three-dimensional shapes , 1978, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[39] M. Hasselmo,et al. Object-centered encoding by face-selective neurons in the cortex in the superior temporal sulcus of the monkey , 2004, Experimental Brain Research.
[40] Masakazu Konishi,et al. Robustness of Multiplicative Processes in Auditory Spatial Tuning , 2004, The Journal of Neuroscience.
[41] A. Treves,et al. The representational capacity of the distributed encoding of information provided by populations of neurons in primate temporal visual cortex , 1997, Experimental Brain Research.
[42] N. Logothetis,et al. Role of the color-opponent and broad-band channels in vision , 1990, Visual Neuroscience.
[43] Minami Ito,et al. Columns for visual features of objects in monkey inferotemporal cortex , 1992, Nature.
[44] C. Furmanski,et al. Perceptual learning in object recognition: object specificity and size invariance , 2000, Vision Research.
[45] H. Barlow. Cerebral Cortex as Model Builder , 1987 .
[46] J. Hummel,et al. The role of attention in priming for left-right reflections of object images: evidence for a dual representation of object shape. , 1998, Journal of experimental psychology. Human perception and performance.
[47] G. Wallis,et al. Spatio-temporal influences at the neural level of object recognition. , 1998, Network.
[48] John H. R. Maunsell,et al. The projections from striate cortex (V1) to areas V2 and V3 in the macaque monkey: Asymmetries, areal boundaries, and patchy connections , 1986, The Journal of comparative neurology.
[49] Adam Krzyzak,et al. Invariant pattern recognition using radon, dual-tree complex wavelet and Fourier transforms , 2009, Pattern Recognit..
[50] B. Frost,et al. Computation of different optical variables of looming objects in pigeon nucleus rotundus neurons , 1998, Nature Neuroscience.
[51] N. Sutherland. Outlines of a theory of visual pattern recognition in animals and man , 1968, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[52] Irving Biederman,et al. Human image understanding: Recent research and a theory , 1985, Comput. Vis. Graph. Image Process..
[53] Luc Van Gool,et al. Edinburgh Research Explorer Simultaneous Object Recognition and Segmentation by Image Exploration , 2022 .
[54] H. Wilson,et al. A psychophysically motivated model for two-dimensional motion perception , 1992, Visual Neuroscience.
[55] Azriel Rosenfeld,et al. 3-D Shape Recovery Using Distributed Aspect Matching , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[56] M M Merzenich,et al. Temporal information transformed into a spatial code by a neural network with realistic properties , 1995, Science.
[57] Gustavo Deco,et al. Computational neuroscience of vision , 2002 .
[58] Guy Wallis,et al. Presentation order affects human object recognition learning , 1996 .
[59] W. Richards,et al. Perception as Bayesian Inference , 2008 .
[60] Alan L. Yuille,et al. FORMS: A flexible object recognition and modelling system , 1996, International Journal of Computer Vision.
[61] I. Vol,et al. Similarity between Fourier transforms of objects predicts their experimental confusions , 1990, Perception & psychophysics.
[62] Rajesh P. N. Rao,et al. Probabilistic Models of the Brain: Perception and Neural Function , 2002 .
[63] R. Shepard,et al. Mental Images and Their Transformations , 1982 .
[64] W. Senn,et al. Top-down dendritic input increases the gain of layer 5 pyramidal neurons. , 2004, Cerebral cortex.
[65] A. Treisman,et al. Object tokens, attention, and visual memory. , 1996 .
[66] Denis Fize,et al. Speed of processing in the human visual system , 1996, Nature.
[67] S. Edelman,et al. Orientation dependence in the recognition of familiar and novel views of three-dimensional objects , 1992, Vision Research.
[68] S. Sherman,et al. Fine structural morphology of identified X- and Y-cells in the cat's lateral geniculate nucleus , 1984, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[69] Rosemarie Velik,et al. Discrete Fourier Transform Computation Using Neural Networks , 2008, 2008 International Conference on Computational Intelligence and Security.
[70] E. Rolls. Memory, Attention, and Decision-Making: A unifying computational neuroscience approach , 2007 .
[71] A. Damasio,et al. Face agnosia and the neural substrates of memory. , 1990, Annual review of neuroscience.
[72] P. J. Sjöström,et al. Dendritic excitability and synaptic plasticity. , 2008, Physiological reviews.
[73] Laurenz Wiskott,et al. How Does Our Visual System Achieve Shift and Size Invariance , 2004 .
[74] E. Rolls,et al. On the design of neural networks in the brain by genetic evolution , 2000, Progress in Neurobiology.
[75] S. Zeki,et al. Response properties and receptive fields of cells in an anatomically defined region of the superior temporal sulcus in the monkey. , 1971, Brain research.
[76] G. Legge,et al. Mr. Chips 2002: new insights from an ideal-observer model of reading , 2002, Vision Research.
[77] B. Hassenstein,et al. Systemtheoretische Analyse der Zeit-, Reihenfolgen- und Vorzeichenauswertung bei der Bewegungsperzeption des Rüsselkäfers Chlorophanus , 1956 .
[78] Bartlett W. Mel. NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron , 1992, Neural Computation.
[79] L. M. Ward,et al. Orienting of Attention , 2008 .
[80] Daeyeol Lee,et al. Order-Dependent Modulation of Directional Signals in the Supplementary and Presupplementary Motor Areas , 2007, The Journal of Neuroscience.
[81] Leslie G. Ungerleider,et al. Pathways for motion analysis: Cortical connections of the medial superior temporal and fundus of the superior temporal visual areas in the macaque , 1990, The Journal of comparative neurology.
[82] A. Yuille,et al. Opinion TRENDS in Cognitive Sciences Vol.10 No.7 July 2006 Special Issue: Probabilistic models of cognition Vision as Bayesian inference: analysis by synthesis? , 2022 .
[83] Paul Oppenheim,et al. Der Gestaltbegriff im Lichte der neuen Logik , 1937 .
[84] Edmund T. Rolls,et al. Invariant Object Recognition in the Visual System with Novel Views of 3D Objects , 2002, Neural Computation.
[85] Karl Georg Götz,et al. Processing of Cues from the Moving Environment in the Drosophila Navigation System , 1972 .
[86] King-Sun Fu,et al. Shape Discrimination Using Fourier Descriptors , 1977, IEEE Trans. Syst. Man Cybern..
[87] Jochen Triesch,et al. Shared Features for Scalable Appearance-Based Object Recognition , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.
[88] N. Kanwisher,et al. The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception , 1997, The Journal of Neuroscience.
[89] Kunihiko Fukushima,et al. Cognitron: A self-organizing multilayered neural network , 1975, Biological Cybernetics.
[90] R. Desimone,et al. Visual properties of neurons in a polysensory area in superior temporal sulcus of the macaque. , 1981, Journal of neurophysiology.
[91] D C Van Essen,et al. Shifter circuits: a computational strategy for dynamic aspects of visual processing. , 1987, Proceedings of the National Academy of Sciences of the United States of America.
[92] Keiji Tanaka,et al. Coding visual images of objects in the inferotemporal cortex of the macaque monkey. , 1991, Journal of neurophysiology.
[93] M. Tarr,et al. Mental rotation and orientation-dependence in shape recognition , 1989, Cognitive Psychology.
[94] R. von der Heydt,et al. Mechanisms of contour perception in monkey visual cortex. I. Lines of pattern discontinuity , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[95] M. Posner,et al. Orienting of Attention* , 1980, The Quarterly journal of experimental psychology.
[96] M. Livingstone,et al. Mechanisms of Direction Selectivity in Macaque V1 , 1998, Neuron.
[97] P. Detwiler,et al. Directionally selective calcium signals in dendrites of starburst amacrine cells , 2002, Nature.
[98] David G. Lowe,et al. Perceptual Organization and Visual Recognition , 2012 .
[99] J Zihl,et al. The "motion-blind" patient: low-level spatial and temporal filters , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[100] K Tanaka,et al. Neuronal mechanisms of object recognition. , 1993, Science.
[101] S. Tipper. The Negative Priming Effect: Inhibitory Priming by Ignored Objects , 1985, The Quarterly journal of experimental psychology. A, Human experimental psychology.
[102] Leslie G. Ungerleider,et al. ‘What’ and ‘where’ in the human brain , 1994, Current Opinion in Neurobiology.
[103] P. Lennie,et al. Chromatic mechanisms in lateral geniculate nucleus of macaque. , 1984, The Journal of physiology.
[104] Shimon Ullman,et al. Recognizing solid objects by alignment with an image , 1990, International Journal of Computer Vision.
[105] Patrick Henry Winston,et al. Learning structural descriptions from examples , 1970 .
[106] Lawrence C. Sincich,et al. Bypassing V1: a direct geniculate input to area MT , 2004, Nature Neuroscience.
[107] E. Adelson,et al. The analysis of moving visual patterns , 1985 .
[108] E T Rolls,et al. Invariant object recognition with trace learning and multiple stimuli present during training , 2007, Network.
[109] R. Desimone,et al. Shape recognition and inferior temporal neurons. , 1983, Proceedings of the National Academy of Sciences of the United States of America.
[110] Edward H. Adelson,et al. Motion illusions as optimal percepts , 2002, Nature Neuroscience.
[111] M. Tarr,et al. Orientation Priming of Novel Shapes in the Context of Viewpoint-Dependent Recognition , 1997, Perception.
[112] V. Bruce,et al. Visual Perception: Physiology, Psychology and Ecology , 1985 .
[113] Z. Pizlo. Perception viewed as an inverse problem , 2001, Vision Research.
[114] Gang-Hwa Lee,et al. A Dual Log-polar Map Rotation and Scale-Invariant Image Transform , 2008 .
[115] D. Hubel,et al. Laminar and columnar distribution of geniculo‐cortical fibers in the macaque monkey , 1972, The Journal of comparative neurology.
[116] E. Rolls. The representation and storage of information in neural networks in the primate cerebral cortex and hippocampus , 1989 .
[117] H. Barlow,et al. Change of organization in the receptive fields of the cat's retina during dark adaptation , 1957, The Journal of physiology.
[118] K. Albus. A quantitative study of the projection area of the central and the paracentral visual field in area 17 of the cat , 1975, Experimental Brain Research.
[119] David I. Perrett,et al. Neurophysiology of shape processing , 1993, Image Vis. Comput..
[120] G. Wallis. How neurons learn to associate 2D-views in invariant object recognition , 1996 .
[121] Stefano Panzeri,et al. On Decoding the Responses of a Population of Neurons from Short Time Windows , 1999, Neural Computation.
[122] W. Geisler,et al. Bayesian natural selection and the evolution of perceptual systems. , 2002, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[123] A. Cowey,et al. 8 – COLOR PERCEPTION: Retina to Cortex , 1990 .
[124] Cordelia Schmid,et al. 3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[125] D. George,et al. A hierarchical Bayesian model of invariant pattern recognition in the visual cortex , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[126] Jochen Triesch,et al. Toward a Unified Probabilistic Framework for Object Recognition and Segmentation , 2005, ISVC.
[127] JEFFREY WOOD,et al. Invariant pattern recognition: A review , 1996, Pattern Recognit..
[128] Jochen Triesch,et al. Learning to Attend - From Bottom-Up to Top-Down , 2008, WAPCV.
[129] G H Recanzone,et al. Effects of attention on MT and MST neuronal activity during pursuit initiation. , 2000, Journal of neurophysiology.
[130] D. Perrett,et al. Visual neurones responsive to faces in the monkey temporal cortex , 2004, Experimental Brain Research.
[131] H. Barlow,et al. The mechanism of directionally selective units in rabbit's retina. , 1965, The Journal of physiology.
[132] Tai Sing Lee,et al. Hierarchical Bayesian inference in the visual cortex. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.
[133] David J. Field,et al. What Is the Goal of Sensory Coding? , 1994, Neural Computation.
[134] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.
[135] Suzanna Becker,et al. Learning to Categorize Objects Using Temporal Coherence , 1992, NIPS.
[136] M. Tarr,et al. Visual object recognition: do we know more now than we did 20 years ago? , 2007, Annual review of psychology.
[137] Shimon Edelman,et al. Representation, similarity, and the chorus of prototypes , 1993, Minds and Machines.
[138] C. Dane. An object-centered three-dimensional model builder , 1982 .
[139] D. Tolhurst. Adaptation to square‐wave gratings: inhibition between spatial frequency channels in the human visual system , 1972, The Journal of physiology.
[140] George Wolberg,et al. Robust image registration using log-polar transform , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).
[141] Isabel Gauthier,et al. The development of face expertise , 2001, Current Opinion in Neurobiology.
[142] I. Biederman,et al. Dynamic binding in a neural network for shape recognition. , 1992, Psychological review.
[143] D. Hubel,et al. The pattern of ocular dominance columns in macaque visual cortex revealed by a reduced silver stain , 1975, The Journal of comparative neurology.
[144] C. Koch,et al. Multiplicative computation in a visual neuron sensitive to looming , 2002, Nature.
[145] Carrie J. McAdams,et al. Effects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4 , 1999, The Journal of Neuroscience.
[146] John H. R. Maunsell,et al. The connections of the middle temporal visual area (MT) and their relationship to a cortical hierarchy in the macaque monkey , 1983, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[147] J. R. Lee,et al. How Does the Striate Cortex Begin the Reconstruction of the Visual World? , 1971, Science.
[148] David C. Knill,et al. Introduction: a Bayesian formulation of visual perception , 1996 .
[149] Robert C. Bolles,et al. Locating Partially Visible Objects: The Local Feature Focus Method , 1980, AAAI.
[150] R. von der Heydt,et al. Mechanisms of contour perception in monkey visual cortex. II. Contours bridging gaps , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[151] M. Tovée,et al. The responses of neurons in the temporal cortex of primates, and face identification and detection , 1994, Experimental Brain Research.
[152] James V. Stone,et al. A learning rule for extracting spatio-temporal invariances , 1995 .
[153] Eero P. Simoncelli,et al. Natural image statistics and neural representation. , 2001, Annual review of neuroscience.
[154] Antonio Torralba,et al. Statistical context priming for object detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[155] Margaret S. Livingstone,et al. Two-Dimensional Substructure of Stereo and Motion Interactions in Macaque Visual Cortex , 2003, Neuron.
[156] Isabel Gauthier,et al. Three-dimensional object recognition is viewpoint dependent , 1998, Nature Neuroscience.
[157] Edmund T. Rolls,et al. The relative advantages of sparse versus distributed encoding for associative neuronal networks in the brain , 1990 .
[158] Daniel Kersten,et al. Bayesian models of object perception , 2003, Current Opinion in Neurobiology.
[159] M. Tovée,et al. Processing speed in the cerebral cortex and the neurophysiology of visual masking , 1994, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[160] C Blakemore,et al. On the existence of neurones in the human visual system selectively sensitive to the orientation and size of retinal images , 1969, The Journal of physiology.
[161] D. B. Judd,et al. Spectral Distribution of Typical Daylight as a Function of Correlated Color Temperature , 1964 .
[162] Laurenz Wiskott,et al. Slowness: An Objective for Spike-Timing–Dependent Plasticity? , 2007, PLoS Comput. Biol..
[163] D C Van Essen,et al. Information processing in the primate visual system: an integrated systems perspective. , 1992, Science.
[164] Long Zhu,et al. Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[165] J. Hummel,et al. An architecture for rapid, hierarchical structural description , 1996 .
[166] Terrence J. Sejnowski,et al. The Computational Brain , 1996, Artif. Intell..
[167] P. Lennie,et al. Spatial and temporal contrast sensitivities of neurones in lateral geniculate nucleus of macaque. , 1984, The Journal of physiology.
[168] R. Yin. Looking at Upside-down Faces , 1969 .
[169] Kunihiko Fukushima,et al. Analysis of the process of visual pattern recognition by the neocognitron , 1989, Neural Networks.
[170] Bartlett W. Mel. Synaptic integration in an excitable dendritic tree. , 1993, Journal of neurophysiology.
[171] A. Treisman,et al. A feature-integration theory of attention , 1980, Cognitive Psychology.
[172] Edmund T. Rolls,et al. Invariant visual object recognition: A model, with lighting invariance , 2006, Journal of Physiology-Paris.
[173] D. V. van Essen,et al. The representation of the visual field in parvicellular and magnocellular layers of the lateral geniculate nucleus in the macaque monkey , 1984, The Journal of comparative neurology.
[174] D. Hubel,et al. Spatial and chromatic interactions in the lateral geniculate body of the rhesus monkey. , 1966, Journal of neurophysiology.
[175] C. Baker,et al. Residual motion perception in a "motion-blind" patient, assessed with limited-lifetime random dot stimuli , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[176] T. Poggio,et al. Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.
[177] L. Abbott,et al. A model of multiplicative neural responses in parietal cortex. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[178] Juan D Delius,et al. Mental-Rotation Effect: A Function of Elementary Stimulus Discriminability? , 1996 .
[179] S. Hochstein,et al. View from the Top Hierarchies and Reverse Hierarchies in the Visual System , 2002, Neuron.
[180] Chris J. Tinsley,et al. The nature of V1 neural responses to 2D moving patterns depends on receptive-field structure in the marmoset monkey. , 2003, Journal of neurophysiology.
[181] Brent Doiron,et al. Deterministic Multiplicative Gain Control with Active Dendrites , 2005, The Journal of Neuroscience.
[182] Heinrich H. Bülthoff,et al. Image-based object recognition , 1995 .
[183] R. Nicoll,et al. Mechanisms generating the time course of dual component excitatory synaptic currents recorded in hippocampal slices , 1990, Neuron.
[184] R. L. Valois,et al. Analysis of response patterns of LGN cells. , 1966, Journal of the Optical Society of America.
[185] A. Treisman. Perceptual grouping and attention in visual search for features and for objects. , 1982, Journal of experimental psychology. Human perception and performance.
[186] Simon B. Laughlin,et al. Form and function in retinal processing , 1987, Trends in Neurosciences.
[187] Edmund T. Rolls,et al. A Model of Invariant Object Recognition in the Visual System: Learning Rules, Activation Functions, Lateral Inhibition, and Information-Based Performance Measures , 2000, Neural Computation.
[188] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.
[189] William L. Briggs,et al. The DFT : An Owner's Manual for the Discrete Fourier Transform , 1987 .
[190] J. Rothwell. Principles of Neural Science , 1982 .
[191] I. Biederman,et al. Evidence for Complete Translational and Reflectional Invariance in Visual Object Priming , 1991, Perception.
[192] S. A. Talbot,et al. Physiological Studies on Neural Mechanisms of Visual Localization and Discrimination , 1941 .
[193] F. Qiu,et al. Figure and Ground in the Visual Cortex: V2 Combines Stereoscopic Cues with Gestalt Rules , 2005, Neuron.
[194] Ronen Basri,et al. Recognition by Linear Combinations of Models , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[195] John Cerella,et al. Pigeons and perceptrons , 1986, Pattern Recognit..
[196] M J Tarr,et al. Is human object recognition better described by geon structural descriptions or by multiple views? Comment on Biederman and Gerhardstein (1993). , 1995, Journal of experimental psychology. Human perception and performance.
[197] Timothée Masquelier,et al. Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity , 2007, PLoS Comput. Biol..
[198] 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.
[199] D. G. Albrecht,et al. Spatial frequency selectivity of cells in macaque visual cortex , 1982, Vision Research.
[200] S. Carey,et al. Why faces are and are not special: an effect of expertise. , 1986, Journal of experimental psychology. General.
[201] Thomas Serre,et al. A feedforward architecture accounts for rapid categorization , 2007, Proceedings of the National Academy of Sciences.
[202] E. DeYoe,et al. Segregation of efferent connections and receptive field properties in visual area V2 of the macaque , 1985, Nature.
[203] D. H. Kelly,et al. Pattern detection and the two-dimensional fourier transform: Circular targets , 1975, Vision Research.
[204] I. Biederman,et al. Size invariance in visual object priming , 1992 .
[205] M. Goodale,et al. Separate visual pathways for perception and action , 1992, Trends in Neurosciences.
[206] M. Nixon,et al. Shape classification using multiscale Fourier-based description in 2-D space , 2008, 2008 9th International Conference on Signal Processing.
[207] D. Casasent,et al. Position, rotation, and scale invariant optical correlation. , 1976, Applied optics.
[208] Thomas Serre,et al. Robust Object Recognition with Cortex-Like Mechanisms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[209] Amnon Shashua,et al. Algebraic Functions For Recognition , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[210] Michael Potmesil,et al. Generating Models of Solid Objects by Matching 3D Surface Segments , 1983, IJCAI.
[211] D. Knill. Learning Bayesian priors for depth perception. , 2007, Journal of vision.
[212] J. Maunsell,et al. Effects of Attention on the Processing of Motion in Macaque Middle Temporal and Medial Superior Temporal Visual Cortical Areas , 1999, The Journal of Neuroscience.
[213] Jean Ponce,et al. Describing surfaces , 1985, Comput. Vis. Graph. Image Process..
[214] Pietro Perona,et al. A Bayesian approach to unsupervised one-shot learning of object categories , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[215] Daniel Kersten,et al. High-level Vision as Statistical Inference , 1999 .
[216] George A. Gescheider,et al. Psychophysics: Method and theory , 1976 .
[217] Ione Fine,et al. Visual segmentation based on the luminance and chromaticity statistics of natural scenes , 2010 .
[218] A. Oliva,et al. Diagnostic Colors Mediate Scene Recognition , 2000, Cognitive Psychology.
[219] P. Milner. A model for visual shape recognition. , 1974, Psychological review.
[220] Peter Földiák,et al. Learning Invariance from Transformation Sequences , 1991, Neural Comput..
[221] S. W. Kuffler. Discharge patterns and functional organization of mammalian retina. , 1953, Journal of neurophysiology.
[222] S. Treue. Visual attention: the where, what, how and why of saliency , 2003, Current Opinion in Neurobiology.
[223] Werner Reichardt,et al. A theory of the pattern induced flight orientation of the fly Musca domestica II , 1975, Biological Cybernetics.
[224] R. Andersen,et al. Multimodal representation of space in the posterior parietal cortex and its use in planning movements. , 1997, Annual review of neuroscience.
[225] Kenneth D Miller,et al. Multiplicative Gain Changes Are Induced by Excitation or Inhibition Alone , 2003, The Journal of Neuroscience.
[226] J. Sergent,et al. Functional neuroanatomy of face and object processing. A positron emission tomography study. , 1992, Brain : a journal of neurology.
[227] R. Desimone,et al. Selective attention gates visual processing in the extrastriate cortex. , 1985, Science.
[228] Paul R. Schrater,et al. Vision, Psychophysics and Bayes , 2001 .
[229] Ewa Wojciulik Nancy Kanwisher. Implicit but not Explicit Feature Binding in a Balint's Patient , 1998 .
[230] I. Biederman,et al. Priming contour-deleted images: Evidence for intermediate representations in visual object recognition , 1991, Cognitive Psychology.
[231] Carver Mead,et al. Analog VLSI and neural systems , 1989 .
[232] M. Land. Motion and vision: why animals move their eyes , 1999, Journal of Comparative Physiology A.
[233] M Konishi,et al. Auditory Spatial Receptive Fields Created by Multiplication , 2001, Science.
[234] Joel L. Davis,et al. Visual attention and cortical circuits , 2001 .
[235] Rajesh P. N. Rao,et al. Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex , 1997, Neural Computation.
[236] Geoffrey E. Hinton,et al. Self-organizing neural network that discovers surfaces in random-dot stereograms , 1992, Nature.
[237] Yu Wei,et al. Combining adaptive sigmoid packet and trace neural network for fast invariance-learning , 1998 .
[238] M. Tarr,et al. Do viewpoint-dependent mechanisms generalize across members of a class? , 1998, Cognition.
[239] W. Schneider. VAM: A neuro-cognitive model for visual attention control of segmentation, object recognition, and space-based motor action , 1995 .
[240] Niko Wilbert,et al. Invariant Object Recognition with Slow Feature Analysis , 2008, ICANN.
[241] Kevan A. C. Martin,et al. From enzymes to visual perception: a bridge too far? , 1988, Trends in Neurosciences.
[242] Holger G. Krapp,et al. Multiplication and stimulus invariance in a looming-sensitive neuron , 2004, Journal of Physiology-Paris.
[243] D. C. Van Essen,et al. Concurrent processing streams in monkey visual cortex , 1988, Trends in Neurosciences.
[244] R. M. Siegel,et al. Encoding of spatial location by posterior parietal neurons. , 1985, Science.
[245] J. D. Mollon,et al. The club-sandwich mystery , 1990, Nature.
[246] T. Wiesel,et al. Relationships between horizontal interactions and functional architecture in cat striate cortex as revealed by cross-correlation analysis , 1986, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[247] C. Gross,et al. Afferent basis of visual response properties in area MT of the macaque. I. Effects of striate cortex removal , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[248] A G Barto,et al. Toward a modern theory of adaptive networks: expectation and prediction. , 1981, Psychological review.
[249] Matthias Bethge,et al. Unsupervised learning of a steerable basis for invariant image representations , 2007, Electronic Imaging.
[250] S. M. Williams,et al. Central Visual Pathways , 2001 .
[251] S. Zeki,et al. Segregation of pathways leading from area V2 to areas V4 and V5 of macaque monkey visual cortex , 1985, Nature.
[252] Laurence T. Maloney,et al. Statistical Decision Theory and Biological Vision , 2005 .
[253] D. Bradley,et al. Structure and function of visual area MT. , 2005, Annual review of neuroscience.
[254] Keiji Tanaka,et al. Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex. , 1994, Journal of neurophysiology.
[255] Paul R. Schrater,et al. Pattern inference theory: A probabilistic approach to vision , 2002 .
[256] S. Palmer. Hierarchical structure in perceptual representation , 1977, Cognitive Psychology.
[257] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[258] Myung Woo,et al. Biologically-Inspired Translation, Scale, and rotation invariant object recognition models , 2007 .
[259] Rajesh P. N. Rao,et al. Bayesian inference and attentional modulation in the visual cortex , 2005, Neuroreport.
[260] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[261] Péter Szigetvári,et al. What and When? , 2019, Inauguration and Liturgical Kingship in the Long Twelfth Century.
[262] Jiri Matas,et al. Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..
[263] J. Maunsell,et al. Attentional Modulation of Motion Integration of Individual Neurons in the Middle Temporal Visual Area , 2004, The Journal of Neuroscience.
[264] David L. Sheinberg,et al. Visual object recognition. , 1996, Annual review of neuroscience.
[265] W. Pitts,et al. How we know universals; the perception of auditory and visual forms. , 1947, The Bulletin of mathematical biophysics.
[266] D. Mumford. On the computational architecture of the neocortex , 2004, Biological Cybernetics.
[267] Lawrence C. Sincich,et al. Independent Projection Streams from Macaque Striate Cortex to the Second Visual Area and Middle Temporal Area , 2003, The Journal of Neuroscience.
[268] Jon H. Kaas,et al. Hierarchical, parallel, and serial arrangements of sensory cortical areas: connection patterns and functional aspects , 1991, Current Opinion in Neurobiology.
[269] H. Markram,et al. Dendritic calcium transients evoked by single back‐propagating action potentials in rat neocortical pyramidal neurons. , 1995, The Journal of physiology.
[270] Bin Xiao,et al. Scaling and rotation invariant analysis approach to object recognition based on Radon and Fourier-Mellin transforms , 2007, Pattern Recognit..
[271] Frank S. Werblin,et al. Mechanisms and circuitry underlying directional selectivity in the retina , 2002, Nature.
[272] Frances S. Chance,et al. Gain Modulation from Background Synaptic Input , 2002, Neuron.
[273] T Poggio,et al. Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks , 1990, Science.
[274] Jacob feldman,et al. Bayesian contour integration , 2001, Perception & psychophysics.
[275] Cordelia Schmid,et al. Semi-Local Affine Parts for Object Recognition , 2004, BMVC.
[276] A. Yuille,et al. Bayesian decision theory and psychophysics , 1996 .
[277] M. Hebert,et al. The Representation, Recognition, and Locating of 3-D Objects , 1986 .
[278] Jürgen Jost,et al. On the gestalt concept , 2008, Theory in Biosciences.
[279] D. J. Felleman,et al. Receptive field properties of neurons in area V3 of macaque monkey extrastriate cortex. , 1987, Journal of neurophysiology.
[280] Benjamin B. Kimia,et al. Shapes, shocks, and deformations I: The components of two-dimensional shape and the reaction-diffusion space , 1995, International Journal of Computer Vision.
[281] Karl Georg Götz,et al. The optomotor equilibrium of theDrosophila navigation system , 1975, Journal of comparative physiology.
[282] S. Tipper,et al. Negative priming between pictures and words in a selective attention task: Evidence for semantic processing of ignored stimuli , 1988, Memory & cognition.
[283] Shimon Edelman,et al. Representation and recognition in vision , 1999 .
[284] Bartlett W. Mel,et al. Minimizing Binding Errors Using Learned Conjunctive Features , 2000, Neural Computation.
[285] M. Tarr,et al. Testing conditions for viewpoint invariance in object recognition. , 1997, Journal of experimental psychology. Human perception and performance.
[286] Rajesh P. N. Rao,et al. Learning Lie Groups for Invariant Visual Perception , 1998, NIPS.
[287] Laurenz Wiskott,et al. Learning invariance manifolds , 1998, Neurocomputing.
[288] S. Ullman. Three-dimensional object recognition based on the combination of views , 1998, Cognition.
[289] Leslie G. Ungerleider,et al. The functional organization of human extrastriate cortex: a PET-rCBF study of selective attention to faces and locations , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[290] Peter H. Schiller,et al. Area V4 of the Primate Visual Cortex , 1994 .
[291] Qing Wang,et al. Rotational Invariance Based on Fourier Analysis in Polar and Spherical Coordinates , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[292] H. B. Barlow,et al. Finding Minimum Entropy Codes , 1989, Neural Computation.
[293] Edmund T. Rolls,et al. Position invariant recognition in the visual system with cluttered environments , 2000, Neural Networks.
[294] P. Jolicoeur. The time to name disoriented natural objects , 1985, Memory & cognition.
[295] J. Gibson. The Ecological Approach to Visual Perception , 1979 .
[296] J. C. Anderson,et al. Dendritic asymmetry cannot account for directional responses of neurons in visual cortex , 1999, Nature Neuroscience.
[297] W. Reichardt. Movement perception in insects , 1969 .
[298] S. Ullman. Aligning pictorial descriptions: An approach to object recognition , 1989, Cognition.
[299] Donald I. A. MacLeod,et al. Influence of scene statistics on colour constancy , 2002, Nature.
[300] H. Barlow,et al. Single Units and Sensation: A Neuron Doctrine for Perceptual Psychology? , 1972, Perception.
[301] Werner Reichardt,et al. Evaluation of optical motion information by movement detectors , 1987, Journal of Comparative Physiology A.
[302] Mahmoud I. Khalil,et al. Invariant 2D object recognition using the wavelet modulus maxima , 2000, Pattern Recognit. Lett..
[303] O. G. Selfridge,et al. Pandemonium: a paradigm for learning , 1988 .
[304] Rebecca Lawson,et al. Object Recognition under Sequential Viewing Conditions: Evidence for Viewpoint-Specific Recognition Procedures , 1994, Perception.
[305] L. Maffei,et al. The visual cortex as a spatial frequency analyser. , 1973, Vision research.
[306] C. Eriksen,et al. Effects of noise letters upon the identification of a target letter in a nonsearch task , 1974 .
[307] W. Hayward. Effects of outline shape in object recognition , 1998 .
[308] W. Köhler. Intelligenzprüfungen an Menschenaffen , .
[309] Y. Miyashita. Inferior temporal cortex: where visual perception meets memory. , 1993, Annual review of neuroscience.
[310] K. Kirschfeld. The visual system of Musca: Studies on optics, structure and function , 1972 .
[311] Eric O. Postma,et al. SCAN: A Scalable Model of Attentional Selection , 1997, Neural Networks.
[312] A. Parker,et al. Spatial properties of neurons in the monkey striate cortex , 1987, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[313] G. Laurent,et al. Elementary Computation of Object Approach by a Wide-Field Visual Neuron , 1995, Science.
[314] D. Hubel,et al. Thalamic inputs to cytochrome oxidase-rich regions in monkey visual cortex. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[315] R. Shadmehr,et al. A Gain-Field Encoding of Limb Position and Velocity in the Internal Model of Arm Dynamics , 2003, PLoS biology.
[316] G. Humphrey,et al. Recognizing novel views of three-dimensional objects. , 1992, Canadian journal of psychology.
[317] William G. Wee,et al. Graph matching for object recognition and recovery , 2004, Pattern Recognit..
[318] D. Hubel. Single unit activity in striate cortex of unrestrained cats , 1959, The Journal of physiology.
[319] C. Koch,et al. The control of retinogeniculate transmission in the mammalian lateral geniculate nucleus , 2004, Experimental Brain Research.
[320] H H Bülthoff,et al. How are three-dimensional objects represented in the brain? , 1994, Cerebral cortex.
[321] S. Zeki,et al. The third visual complex of rhesus monkey prestriate cortex. , 1978, The Journal of physiology.
[322] A. Borst,et al. Neural networks in the cockpit of the fly , 2002, Journal of Comparative Physiology A.
[323] M. Pinsky. Introduction to Fourier analysis and wavelets , 2002 .
[324] R. Mansfield,et al. Analysis of visual behavior , 1982 .
[325] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[326] Heinrich H Bülthoff,et al. Image-based object recognition in man, monkey and machine , 1998, Cognition.
[327] Shimon Edelman,et al. Receptive field spaces and class-based generalization from a single view in face recognition , 1995 .
[328] Graeme Mitchison,et al. Removing Time Variation with the Anti-Hebbian Differential Synapse , 1991, Neural Computation.
[329] G. DeAngelis,et al. Organization of Disparity-Selective Neurons in Macaque Area MT , 1999, The Journal of Neuroscience.
[330] Richard N Aslin,et al. Statistical learning of new visual feature combinations by infants , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[331] Mark H. Johnson,et al. Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting , 1994, Neural Computation.
[332] P. Schiller,et al. Response properties of single cells in monkey striate cortex during reversible inactivation of individual lateral geniculate laminae. , 1981, Journal of neurophysiology.
[333] Wolfgang Konen,et al. A fast dynamic link matching algorithm for invariant pattern recognition , 1994, Neural Networks.
[334] M. Konishi,et al. Emergence of multiplicative auditory responses in the midbrain of the barn owl. , 2007, Journal of neurophysiology.
[335] Gary D. Bernard,et al. A proposed mechanism for multiplication of neural signals , 1976, Biological Cybernetics.
[336] D. Hubel,et al. Segregation of form, color, movement, and depth: anatomy, physiology, and perception. , 1988, Science.
[337] E. Rolls,et al. Neural networks and brain function , 1998 .
[338] Donald D. Hoffman. The Interpretation of Visual Illusions , 1983 .
[339] J. Lund,et al. Intrinsic laminar lattice connections in primate visual cortex , 1983, The Journal of comparative neurology.
[340] G. Edelman,et al. Spatial signaling in the development and function of neural connections. , 1991, Cerebral cortex.
[341] J. B. Levitt,et al. Functional properties of neurons in macaque area V3. , 1997, Journal of neurophysiology.
[342] T. Nealey,et al. Magnocellular and parvocellular contributions to responses in the middle temporal visual area (MT) of the macaque monkey , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[343] T. Albright. Direction and orientation selectivity of neurons in visual area MT of the macaque. , 1984, Journal of neurophysiology.
[344] G. Geiger. Optomotor responses of the fly Musca domestica to transient stimuli of edges and stripes , 2004, Kybernetik.
[345] James V. Stone. Learning Perceptually Salient Visual Parameters Using Spatiotemporal Smoothness Constraints , 1996, Neural Computation.
[346] N. Logothetis,et al. Shape representation in the inferior temporal cortex of monkeys , 1995, Current Biology.
[347] 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.
[348] E. Rolls,et al. Size and contrast have only small effects on the responses to faces of neurons in the cortex of the superior temporal sulcus of the monkey , 2004, Experimental Brain Research.
[349] M. Tarr. Rotating objects to recognize them: A case study on the role of viewpoint dependency in the recognition of three-dimensional objects , 1995, Psychonomic bulletin & review.
[350] John H. R. Maunsell,et al. How parallel are the primate visual pathways? , 1993, Annual review of neuroscience.
[351] Shimon Ullman,et al. Computation of pattern invariance in brain-like structures , 1999, Neural Networks.
[352] P. Gouras,et al. Responses of cells in foveal visual cortex of the monkey to pure color contrast. , 1979, Journal of neurophysiology.
[353] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.
[354] Minami Ito,et al. Size and position invariance of neuronal responses in monkey inferotemporal cortex. , 1995, Journal of neurophysiology.
[355] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[356] T. Poggio,et al. Multiplying with synapses and neurons , 1992 .
[357] D. J. Felleman,et al. Anatomical and physiological asymmetries related to visual areas V3 and VP in macaque extrastriate cortex , 1986, Vision Research.
[358] E. Rolls. Functions of neuronal networks in the hippocampus and neocortex in memory , 1989 .
[359] A. Hendrickson,et al. Immunocytochemical localization of glutamic acid decarboxylase in monkey striate cortex , 1981, Nature.
[360] S. Zeki,et al. The Organization of Connections between Areas V5 and V1 in Macaque Monkey Visual Cortex , 1989, The European journal of neuroscience.
[361] Julius T. Tou,et al. Pattern Recognition Principles , 1974 .
[362] John H. R. Maunsell,et al. Visual processing in monkey extrastriate cortex. , 1987, Annual review of neuroscience.
[363] S. Zeki,et al. The Organization of Connections between Areas V5 and V2 in Macaque Monkey Visual Cortex , 1989, The European journal of neuroscience.
[364] Song-Chun Zhu,et al. Minimax Entropy Principle and Its Application to Texture Modeling , 1997, Neural Computation.
[365] J. Kaas,et al. Do superior colliculus projection zones in the inferior pulvinar project to MT in primates? , 1999, The European journal of neuroscience.
[366] P M Gochin. Properties of simulated neurons from a model of primate inferior temporal cortex. , 1994, Cerebral cortex.
[367] S. Ullman. High-Level Vision: Object Recognition and Visual Cognition , 1996 .
[368] H. J. Reitboeck,et al. A model for size- and rotation-invariant pattern processing in the visual system , 2004, Biological Cybernetics.
[369] Thomas J. Carew,et al. Multiple overlapping processes underlying short-term synaptic enhancement , 1997, Trends in Neurosciences.
[370] David C. Knill. Discrimination of planar surface slant from texture: human and ideal observers compared , 1998, Vision Research.
[371] N. Logothetis,et al. Functions of the colour-opponent and broad-band channels of the visual system , 1990, Nature.
[372] E. Rolls,et al. Role of low and high spatial frequencies in the face-selective responses of neurons in the cortex in the superior temporal sulcus in the monkey , 1985, Vision Research.
[373] R. Desimone. Face-Selective Cells in the Temporal Cortex of Monkeys , 1991, Journal of Cognitive Neuroscience.
[374] R. Andersen,et al. Head position signals used by parietal neurons to encode locations of visual stimuli , 1995, Nature.
[375] John H. R. Maunsell,et al. Topographic organization of the middle temporal visual area in the macaque monkey: Representational biases and the relationship to callosal connections and myeloarchitectonic boundaries , 1987, The Journal of comparative neurology.
[376] D. Ts'o,et al. The organization of chromatic and spatial interactions in the primate striate cortex , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[377] Donald D. Hoffman,et al. Parts of recognition , 1984, Cognition.
[378] J. Moran,et al. Sensation and perception , 1980 .
[379] D. Hubel,et al. Specificity of intrinsic connections in primate primary visual cortex , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[380] E T Rolls,et al. Neurophysiological mechanisms underlying face processing within and beyond the temporal cortical visual areas. , 1992, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[381] Thomas O. Binford,et al. Inferring Surfaces from Images , 1981, Artif. Intell..
[382] Heinrich H. Bülthoff,et al. Bayesian Models for Seeing Shapes and Depth , 1990 .
[383] D. Pollen,et al. Periodic excitability changes across the receptive fields of complex cells in the striate and parastriate cortex of the cat. , 1975, The Journal of physiology.