Computations in the early visual cortex
暂无分享,去创建一个
[1] V. S. Ramachandran,et al. Perception of shape from shading , 1988, Nature.
[2] S. Zucker,et al. The Curve Indicator Random Field: Curve Organization Via Edge Correlation , 2000 .
[3] R. Desimone,et al. Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4 , 1999, The Journal of Neuroscience.
[4] J. Braun. Shape-from-shading is independent of visual attention and may be a 'texton'. , 1993, Spatial vision.
[5] A. Borst. Seeing smells: imaging olfactory learning in bees , 1999, Nature Neuroscience.
[6] Nava Rubin,et al. Salient and multiple illusory surfaces , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[7] D. V. van Essen,et al. Spatial Attention Effects in Macaque Area V4 , 1997, The Journal of Neuroscience.
[8] David C. Somers,et al. A local circuit integration approach to understanding visual cortical receptive fields , 1997 .
[9] D Mumford,et al. On the computational architecture of the neocortex. II. The role of cortico-cortical loops. , 1992, Biological cybernetics.
[10] J. Bullier,et al. Anatomical segregation of two cortical visual pathways in the macaque monkey , 1990, Visual Neuroscience.
[11] Carl R Olson,et al. Object-based vision and attention in primates , 2001, Current Opinion in Neurobiology.
[12] C. Li,et al. Extensive integration field beyond the classical receptive field of cat's striate cortical neurons--classification and tuning properties. , 1994, Vision research.
[13] M. Sanders. Handbook of Sensory Physiology , 1975 .
[14] B. Julesz,et al. Perceptual sensitivity maps within globally defined visual shapes , 1994, Nature.
[15] Victor A. F. Lamme. The neurophysiology of figure-ground segregation in primary visual cortex , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[16] Jack L. Gallant,et al. Erratum: Neural activity in areas V1 ... (NeuroReport 9:7 (1673-1678)) , 1998 .
[17] L. Maffei,et al. The unresponsive regions of visual cortical receptive fields , 1976, Vision Research.
[18] John Daugman,et al. Neural networks for image transformation, analysis, and compression , 1988, Neural Networks.
[19] N. P. Bichot,et al. Effects of similarity and history on neural mechanisms of visual selection , 1999, Nature Neuroscience.
[20] Y. J. Tejwani,et al. Robot vision , 1989, IEEE International Symposium on Circuits and Systems,.
[21] C. Gross,et al. Visuotopic organization and extent of V3 and V4 of the macaque , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[22] L. Matin,et al. Spatial summation among coextensive and parallel line segments across wide separations (50°): Egocentric localization and the Great Circle Model , 1994, Vision Research.
[23] Sir G. Archaeopteryx. Object-based attention in the primary visual cortex of the macaque monkey , 1998 .
[24] C. Gilbert,et al. Spatial distribution of contextual interactions in primary visual cortex and in visual perception. , 2000, Journal of neurophysiology.
[25] W. D. Ross,et al. A Neural Theory of Attentive Visual Search : Interactions of Boundary , Surface , Spatial , and Object Representations By : Stephen Grossberg , 2004 .
[26] H. Spekreijse,et al. Two distinct modes of sensory processing observed in monkey primary visual cortex (V1) , 2001, Nature Neuroscience.
[27] R. Weller. Two cortical visual systems in Old World and New World primates. , 1988, Progress in brain research.
[28] J. Bullier. Integrated model of visual processing , 2001, Brain Research Reviews.
[29] John H. R. Maunsell,et al. Visual processing in monkey extrastriate cortex. , 1987, Annual review of neuroscience.
[30] M. Sur,et al. Orientation Maps of Subjective Contours in Visual Cortex , 1996, Science.
[31] D. Mumford. Pattern theory: a unifying perspective , 1996 .
[32] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[33] Leslie G. Ungerleider,et al. Contextual Modulation in Primary Visual Cortex of Macaques , 2001, The Journal of Neuroscience.
[34] K. Boyer,et al. Perceptual Organization for Artificial Vision Systems , 2000 .
[35] C. Gross. Visual Functions of Inferotemporal Cortex , 1973 .
[36] Victor A. F. Lamme,et al. Contextual Modulation in Primary Visual Cortex , 1996, The Journal of Neuroscience.
[37] James L. Crowley,et al. A Representation for Shape Based on Peaks and Ridges in the Difference of Low-Pass Transform , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] D. V. van Essen,et al. Response modulation by texture surround in primate area V1: Correlates of “popout” under anesthesia , 1999, Visual Neuroscience.
[39] Ken Nakayama,et al. Attentional requirements in a ‘preattentive’ feature search task , 1997, Nature.
[40] Victor A. F. Lamme,et al. Figure-ground activity in primary visual cortex is suppressed by anesthesia. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[41] Guy Orban,et al. Coding of three-dimensional shape in macaque inferior temporal cortex , 2000 .
[42] David Mumford,et al. Filtering, Segmentation and Depth , 1993, Lecture Notes in Computer Science.
[43] Tai Sing Lee,et al. The role of V1 in shape representation , 1997 .
[44] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] Lance R. Williams,et al. Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience , 1997, Neural Computation.
[46] R. Desimone,et al. Neural mechanisms of selective visual attention. , 1995, Annual review of neuroscience.
[47] James L. McClelland,et al. An interactive activation model of context effects in letter perception: part 1.: an account of basic findings , 1988 .
[48] J. Bullier,et al. Response modulations by static texture surround in area V1 of the macaque monkey do not depend on feedback connections from V2. , 2001, Journal of neurophysiology.
[49] B. C. Motter. Focal attention produces spatially selective processing in visual cortical areas V1, V2, and V4 in the presence of competing stimuli. , 1993, Journal of neurophysiology.
[50] Elie Bienenstock,et al. Compositionality, MDL Priors, and Object Recognition , 1996, NIPS.
[51] Joachim M. Buhmann,et al. Distortion Invariant Object Recognition in the Dynamic Link Architecture , 1993, IEEE Trans. Computers.
[52] S. Ullman. Visual routines , 1984, Cognition.
[53] R. Born,et al. Single-unit and 2-deoxyglucose studies of side inhibition in macaque striate cortex. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[54] D C Van Essen,et al. Neural activity in areas V1, V2 and V4 during free viewing of natural scenes compared to controlled viewing. , 1998, Neuroreport.
[55] P. H. Schiller,et al. State dependent activity in monkey visual cortex , 2004, Experimental Brain Research.
[56] J. Bullier,et al. Parallel versus serial processing: new vistas on the distributed organization of the visual system , 1995, Current Opinion in Neurobiology.
[57] D. J. Felleman,et al. Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.
[58] R. von der Heydt,et al. Coding of Border Ownership in Monkey Visual Cortex , 2000, The Journal of Neuroscience.
[59] G. Grisetti,et al. Further Reading , 1984, IEEE Spectrum.
[60] Rodney Cotterill,et al. Models of brain function , 1989 .
[61] T. S. Lee,et al. Dynamics of subjective contour formation in the early visual cortex. , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[62] R. Zemel,et al. Object-Based Attention and Occlusion Evidence From Normal Participants and a Computational Model , 1998 .
[63] H. Blum. Biological shape and visual science (part I) , 1973 .
[64] E. Todorov,et al. A local circuit approach to understanding integration of long-range inputs in primary visual cortex. , 1998, Cerebral cortex.
[65] David J. Field,et al. Contour integration by the human visual system: Evidence for a local “association field” , 1993, Vision Research.
[66] Stephen Grossberg,et al. Competitive Learning: From Interactive Activation to Adaptive Resonance , 1987, Cogn. Sci..
[67] S. Zucker,et al. Shape-from-shading on a cloudy day , 1994 .
[68] Refractor. Vision , 2000, The Lancet.
[69] D. Mumford. Elastica and Computer Vision , 1994 .
[70] 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.
[71] E. J. Tehovnik,et al. Eye Movements Modulate Visual Receptive Fields of V4 Neurons , 2001, Neuron.
[72] D. H. Hubel,et al. RECEPTIVE FIELDS, BINOCULAR AND FUNCTIONAL ARCHITECTURE IN THE CAT’S VISUAL CORTEX , 1962 .
[73] D C Van Essen,et al. Neural activity in areas V1, V2 and V4 during free viewing of natural scenes compared to controlled viewing , 1998, Neuroreport.
[74] Tai Sing Lee,et al. Image Representation Using 2D Gabor Wavelets , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[75] P. O. Bishop,et al. Spatial vision. , 1971, Annual review of psychology.
[76] D. Mumford. On the computational architecture of the neocortex , 2004, Biological Cybernetics.
[77] Shimon Ullman. Sequence Seeking and Counterstreams: A Model for Bidirectional Information Flow in the Cortex , 1995 .
[78] A. Treisman,et al. A feature-integration theory of attention , 1980, Cognitive Psychology.
[79] T. Wiesel,et al. The influence of contextual stimuli on the orientation selectivity of cells in primary visual cortex of the cat , 1990, Vision Research.
[80] M Stemmler,et al. Lateral interactions in primary visual cortex: a model bridging physiology and psychophysics. , 1995, Science.
[81] D. Robinson,et al. A METHOD OF MEASURING EYE MOVEMENT USING A SCLERAL SEARCH COIL IN A MAGNETIC FIELD. , 1963, IEEE transactions on bio-medical engineering.
[82] R. Desimone,et al. Selective attention gates visual processing in the extrastriate cortex. , 1985, Science.
[83] Geoffrey E. Hinton,et al. The Helmholtz Machine , 1995, Neural Computation.
[84] Stephen M. Pizer,et al. Object representation by cores: Identifying and representing primitive spatial regions , 1995, Vision Research.
[85] R. Mansfield,et al. Analysis of visual behavior , 1982 .
[86] D. Mumford,et al. Neural activity in early visual cortex reflects behavioral experience and higher-order perceptual saliency , 2002, Nature Neuroscience.
[87] D. V. van Essen,et al. Response profiles to texture border patterns in area V1 , 2000, Visual Neuroscience.
[88] Alan L. Yuille,et al. FORMS: A flexible object recognition and modelling system , 1996, International Journal of Computer Vision.
[89] C. Gilbert,et al. Attention Modulates Contextual Influences in the Primary Visual Cortex of Alert Monkeys , 1999, Neuron.
[90] P. Lennie. Receptive fields , 2003, Current Biology.
[91] N. Logothetis. Object vision and visual awareness. , 1998, Current opinion in neurobiology.
[92] C. Gilbert,et al. Learning to see: experience and attention in primary visual cortex , 2001, Nature Neuroscience.
[93] G. Orban,et al. Three-Dimensional Shape Coding in Inferior Temporal Cortex , 2000, Neuron.
[94] W. James,et al. The Principles of Psychology. , 1983 .
[95] D. V. van Essen,et al. Neuronal responses to static texture patterns in area V1 of the alert macaque monkey. , 1992, Journal of neurophysiology.
[96] Bruno A. Olshausen,et al. PROBABILISTIC FRAMEWORK FOR THE ADAPTATION AND COMPARISON OF IMAGE CODES , 1999 .
[97] I. Biederman. Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.
[98] James L. McClelland,et al. An interactive activation model of context effects in letter perception: I. An account of basic findings. , 1981 .
[99] J. M. Hupé,et al. Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons , 1998, Nature.
[100] Pietro Perona,et al. Early computation of shape and reflectance in the visual system , 1996, Nature.
[101] Andrew Blake,et al. Visual Reconstruction , 1987, Deep Learning for EEG-Based Brain–Computer Interfaces.
[102] D. Mumford,et al. The role of the primary visual cortex in higher level vision , 1998, Vision Research.
[103] R. von der Heydt,et al. Illusory contours and cortical neuron responses. , 1984, Science.
[104] P. Goldman-Rakic,et al. Preface: Cerebral Cortex Has Come of Age , 1991 .
[105] S. Hochstein,et al. Attentional Demands Following Perceptual Skill Training , 2001, Psychological science.
[106] C. Koch,et al. Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.
[107] Zhaoping Li,et al. Computational Design and Nonlinear Dynamics of a Recurrent Network Model of the Primary Visual Cortex , 2001, Neural Computation.
[108] Michael J. Hawken,et al. Macaque VI neurons can signal ‘illusory’ contours , 1993, Nature.
[109] H. Blum. Biological shape and visual science. I. , 1973, Journal of theoretical biology.
[110] Tai Sing Lee,et al. A unified model of spatial and object attention based on inter-cortical biased competition , 2002, Neurocomputing.
[111] J. B. Levitt,et al. Contrast dependence of contextual effects in primate visual cortex , 1997, nature.
[112] C Koch,et al. Analog "neuronal" networks in early vision. , 1986, Proceedings of the National Academy of Sciences of the United States of America.
[113] O. D. Creutzfeldt,et al. Representation of complex visual stimuli in the brain , 1978, Naturwissenschaften.
[114] Jeffrey S. Perry,et al. Edge co-occurrence in natural images predicts contour grouping performance , 2001, Vision Research.
[115] Eric L. Schwartz,et al. Computational Neuroscience , 1993, Neuromethods.