The Visual N1 Is Sensitive to Deviations from Natural Texture Appearance
暂无分享,去创建一个
[1] A. Smeulders,et al. A Biologically Plausible Model for Rapid Natural Image Identi cation , 2009 .
[2] Benjamin Balas. Texture synthesis models and material perception in the visual periphery , 2015, Electronic Imaging.
[3] Eero P. Simoncelli,et al. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients , 2000, International Journal of Computer Vision.
[4] Enoch Callaway,et al. The effect of attentional effort on visual evoked potential N1 latency , 1982, Psychiatry Research.
[5] Marina Schmid,et al. An Introduction To The Event Related Potential Technique , 2016 .
[6] Eero P. Simoncelli,et al. Metamers of the ventral stream , 2011, Nature Neuroscience.
[7] W. Geisler. Visual perception and the statistical properties of natural scenes. , 2008, Annual review of psychology.
[8] A. Torralba,et al. Specular reflections and the perception of shape. , 2004, Journal of vision.
[9] Margot J. Taylor,et al. N170 or N1? Spatiotemporal differences between object and face processing using ERPs. , 2004, Cerebral cortex.
[10] Eero P. Simoncelli,et al. A functional and perceptual signature of the second visual area in primates , 2013, Nature Neuroscience.
[11] R. Fleming. Visual perception of materials and their properties , 2014, Vision Research.
[12] B. Julesz. Textons, the elements of texture perception, and their interactions , 1981, Nature.
[13] Randolph Blake,et al. Dissociating microgenesis of retinal and non-retinal adaptation , 2010 .
[14] P Perona,et al. Preattentive texture discrimination with early vision mechanisms. , 1990, Journal of the Optical Society of America. A, Optics and image science.
[15] Michael C. Mangini,et al. The deleterious effect of contrast reversal on recognition is unique to faces, not objects , 2007, Vision Research.
[16] C Meinecke,et al. Automaticity and attention: investigating automatic processing in texture segmentation with event-related brain potentials. , 2001, Brain research. Cognitive brain research.
[17] Ruth Rosenholtz,et al. What your visual system sees where you are not looking , 2011, Electronic Imaging.
[18] R. Rosenholtz,et al. A summary statistic representation in peripheral vision explains visual search. , 2009, Journal of vision.
[19] Roland W Fleming,et al. Real-world illumination and the perception of surface reflectance properties. , 2003, Journal of vision.
[20] D J Field,et al. Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[21] Benjamin J. Balas,et al. Texture synthesis and perception: Using computational models to study texture representations in the human visual system , 2006, Vision Research.
[22] Bruce C Hansen,et al. Discrimination of amplitude spectrum slope in the fovea and parafovea and the local amplitude distributions of natural scene imagery. , 2006, Journal of vision.
[23] Matthias Bethge,et al. How Sensitive Is the Human Visual System to the Local Statistics of Natural Images? , 2013, PLoS Comput. Biol..
[24] Margot J. Taylor,et al. Inversion and Contrast Polarity Reversal Affect both Encoding and Recognition Processes of Unfamiliar Faces: A Repetition Study Using ERPs , 2002, NeuroImage.
[25] C. Tyler. Beyond fourth-order texture discrimination: generation of extreme-order and statistically-balanced textures , 2004, Vision Research.
[26] B. Balas. Contrast Negation and Texture Synthesis Differentially Disrupt Natural Texture Appearance , 2012, Front. Psychology.
[27] Jitendra Malik,et al. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001, International Journal of Computer Vision.
[28] Bruce C. Hansen,et al. The developing visual system is not optimally sensitive to the spatial statistics of natural images , 2012, Vision Research.
[29] E. Adelson,et al. Image statistics for surface reflectance perception. , 2008, Journal of the Optical Society of America. A, Optics, image science, and vision.
[30] Karl R. Gegenfurtner,et al. The representation of material categories in the brain , 2014, Front. Psychol..
[31] H. Bülthoff,et al. Estimation of 3D shape from image orientations , 2011, Proceedings of the National Academy of Sciences.
[32] Naokazu Goda,et al. Transformation from image-based to perceptual representation of materials along the human ventral visual pathway , 2011, NeuroImage.
[33] Jitendra Malik,et al. Recognizing surfaces using three-dimensional textons , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[34] B. Balas,et al. Infant Preference for Natural Texture Statistics is Modulated by Contrast Polarity. , 2014, Infancy : the official journal of the International Society on Infant Studies.
[35] Alice Mado Proverbio,et al. Electrophysiological indexes of illusory contours perception in humans , 2002, Neuropsychologia.
[36] Heinrich H. Bülthoff,et al. Low-Level Image Cues in the Perception of Translucent Materials , 2005, TAP.
[37] Victor A. F. Lamme,et al. Low-level contrast statistics are diagnostic of invariance of natural textures , 2012, Front. Comput. Neurosci..
[38] Horace Barlow,et al. Measuring the brain's statistical work: From absolute thresholds to autocorrelation in cortex , 2009 .
[39] James R. Bergen,et al. Pyramid-based texture analysis/synthesis , 1995, Proceedings., International Conference on Image Processing.
[40] A Johnston,et al. Shape from Shading. I: Surface Curvature and Orientation , 1994, Perception.
[41] Arnold W. M. Smeulders,et al. A Biologically Plausible Model for Rapid Natural Scene Identification , 2009, NIPS.
[42] R. C. Oldfield. The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.
[43] Heinrich H. Bülthoff,et al. Perceiving translucent materials , 2004, APGV '04.
[44] S. Hillyard,et al. Modulations of sensory-evoked brain potentials indicate changes in perceptual processing during visual-spatial priming. , 1991, Journal of experimental psychology. Human perception and performance.
[45] D. Field,et al. Natural image statistics and efficient coding. , 1996, Network.
[46] Arnold W. M. Smeulders,et al. c ○ 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands. A Six-Stimulus Theory for Stochastic Texture , 2002 .
[47] R. Rosenholtz,et al. A summary-statistic representation in peripheral vision explains visual crowding. , 2009, Journal of vision.