“I Look in Your Eyes, Honey”: Internal Face Features Induce Spatial Frequency Preference for Human Face Processing
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[1] Tai Sing Lee,et al. Image Representation Using 2D Gabor Wavelets , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Denis G. Pelli,et al. The visual filter mediating letter identification , 1994, Nature.
[3] R. Näsänen,et al. Utilisation of spatial frequency information in face search , 2003, Vision Research.
[4] William B. Levy,et al. Energy Efficient Neural Codes , 1996, Neural Computation.
[5] A. Young,et al. Configurational Information in Face Perception , 1987, Perception.
[6] Terrence J Sejnowski,et al. Communication in Neuronal Networks , 2003, Science.
[7] P. Schyns,et al. Receptive Fields for Flexible Face Categorizations , 2004, Psychological science.
[8] D. Maurer,et al. The many faces of configural processing , 2002, Trends in Cognitive Sciences.
[9] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.
[10] Geoffrey K Aguirre,et al. The effects of parts, wholes, and familiarity on face-selective responses in MEG. , 2008, Journal of vision.
[11] Dima Damen,et al. Recognizing linked events: Searching the space of feasible explanations , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Susana T. L. Chung,et al. Spatial-frequency characteristics of letter identification in central and peripheral vision , 2002, Vision Research.
[13] P. Lennie. The Cost of Cortical Computation , 2003, Current Biology.
[14] Charles A Collin,et al. Effects of image background on spatial-frequency thresholds for face recognition. , 2006, Perception.
[15] D. Field,et al. The structure and symmetry of simple-cell receptive-field profiles in the cat’s visual cortex , 1986, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[16] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[17] M. Farah,et al. Parts and Wholes in Face Recognition , 1993, The Quarterly journal of experimental psychology. A, Human experimental psychology.
[18] Nicholas J. Priebe,et al. Contrast-Invariant Orientation Tuning in Cat Visual Cortex: Thalamocortical Input Tuning and Correlation-Based Intracortical Connectivity , 1998, The Journal of Neuroscience.
[19] Patrick J. Flynn,et al. Overview of the face recognition grand challenge , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[20] R. Näsänen. Spatial frequency bandwidth used in the recognition of facial images , 1999, Vision Research.
[21] Arthur P Ginsburg,et al. Visual Information Processing Based on Spatial Filters Constrained by Biological Data. , 1978 .
[22] 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.
[23] Martin J. Wainwright,et al. Visual adaptation as optimal information transmission , 1999, Vision Research.
[24] M. A. Bouman,et al. Spatial Modulation Transfer in the Human Eye , 1967 .
[25] D. Pelli,et al. The role of spatial frequency channels in letter identification , 2002, Vision Research.
[26] J. Nadal,et al. Nonlinear feedforward networks with stochastic outputs: infomax implies redundancy reduction. , 1998, Network.
[27] Roxane J. Itier,et al. Face, eye and object early processing: What is the face specificity? , 2006, NeuroImage.
[28] Terrence J. Sejnowski,et al. Unsupervised Learning , 2018, Encyclopedia of GIS.
[29] D. Burr,et al. Feature detection in human vision: a phase-dependent energy model , 1988, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[30] M. Farah,et al. What is "special" about face perception? , 1998, Psychological review.
[31] A. Rose,et al. The Relative Sensitivities of Television Pickup Tubes, Photographic Film, and the Human Eye , 1942, Proceedings of the IRE.
[32] J. H. van Hateren,et al. Modelling the Power Spectra of Natural Images: Statistics and Information , 1996, Vision Research.
[33] Daniel J. Graham,et al. Can the theory of “whitening” explain the center-surround properties of retinal ganglion cell receptive fields? , 2006, Vision Research.
[34] Philippe G. Schyns,et al. Top-down attentional modulation of spatial frequency processing in scene perception , 2005 .
[35] Rob R. de Ruyter van Steveninck,et al. The metabolic cost of neural information , 1998, Nature Neuroscience.
[36] G. Sperling,et al. Object spatial frequencies, retinal spatial frequencies, noise, and the efficiency of letter discrimination , 1991, Vision Research.
[37] F. Harris. On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.
[38] M. Meister,et al. Dynamic predictive coding by the retina , 2005, Nature.
[39] R. L. Valois,et al. The orientation and direction selectivity of cells in macaque visual cortex , 1982, Vision Research.
[40] Bruno Rossion,et al. Faces are "spatial"--holistic face perception is supported by low spatial frequencies. , 2006, Journal of experimental psychology. Human perception and performance.
[41] R. Reid,et al. Specificity of monosynaptic connections from thalamus to visual cortex , 1995, Nature.
[42] A. Parker,et al. Two-dimensional spatial structure of receptive fields in monkey striate cortex. , 1988, Journal of the Optical Society of America. A, Optics and image science.
[43] Azriel Rosenfeld,et al. Two remarks on multidimensional texture analysis , 1982, Pattern Recognit. Lett..
[44] Valerie Goffaux,et al. The horizontal and vertical relations in upright faces are transmitted by different spatial frequency ranges. , 2008, Acta psychologica.
[45] Ralph Linsker,et al. Self-organization in a perceptual network , 1988, Computer.
[46] D. Pollen,et al. Relationship between spatial frequency selectivity and receptive field profile of simple cells. , 1979, The Journal of physiology.
[47] P. Schyns,et al. Show Me the Features! Understanding Recognition From the Use of Visual Information , 2002, Psychological science.
[48] P. Bennett,et al. Inversion Leads to Quantitative, Not Qualitative, Changes in Face Processing , 2004, Current Biology.
[49] D. Hubel,et al. Ferrier lecture - Functional architecture of macaque monkey visual cortex , 1977, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[50] Alison Harris,et al. The Representation of Parts and Wholes in Face-selective Cortex , 2008, Journal of Cognitive Neuroscience.
[51] Allison B. Sekuler,et al. Spatial frequency tuning of upright and inverted face identification , 2008, Vision Research.
[52] S. Laughlin,et al. Predictive coding: a fresh view of inhibition in the retina , 1982, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[53] S. Carey,et al. Why faces are and are not special: an effect of expertise. , 1986, Journal of experimental psychology. General.
[54] Leo Ganz,et al. Recognition of faces in the presence of two-dimensional sinusoidal masks , 1977 .
[55] F. Attneave. Some informational aspects of visual perception. , 1954, Psychological review.
[56] R. L. de Valois,et al. Relationship between spatial-frequency and orientation tuning of striate-cortex cells. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[57] K. Nakayama,et al. Rapid adaptation of the m170 response: importance of face parts. , 2008, Cerebral cortex.
[58] J. P. Jones,et al. An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. , 1987, Journal of neurophysiology.
[59] H. Vries. The quantum character of light and its bearing upon threshold of vision, the differential sensitivity and visual acuity of the eye , 1943 .
[60] David Masip,et al. Preferred Spatial Frequencies for Human Face Processing Are Associated with Optimal Class Discrimination in the Machine , 2008, PloS one.
[61] S. Appelle. Perception and discrimination as a function of stimulus orientation: the "oblique effect" in man and animals. , 1972, Psychological bulletin.
[62] M. A. Bouman,et al. Spatiotemporal modulation transfer in the human eye. , 1967, Journal of the Optical Society of America.
[63] J. Daugman. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[64] Charles A. Collin,et al. Effects of Image Background on Spatial-Frequency Thresholds for Face Recognition , 2006 .
[65] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[66] Q. Vuong,et al. The Respective Role of Low and High Spatial Frequencies in Supporting Configural and Featural Processing of Faces , 2005, Perception.
[67] L. Abbott,et al. Responses of neurons in primary and inferior temporal visual cortices to natural scenes , 1997, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[68] Edward A. Essock,et al. Oblique stimuli are seen best (not worst!) in naturalistic broad-band stimuli: a horizontal effect , 2003, Vision Research.
[69] G. J. Burton,et al. Color and spatial structure in natural scenes. , 1987, Applied optics.
[70] Joseph J. Atick,et al. What Does the Retina Know about Natural Scenes? , 1992, Neural Computation.
[71] B. Rossion,et al. Nonlinear relationship between holistic processing of individual faces and picture-plane rotation: evidence from the face composite illusion. , 2008, Journal of vision.
[72] Robyn A. Owens,et al. Feature detection from local energy , 1987, Pattern Recognit. Lett..
[73] Endel Põder,et al. Spatial-frequency spectra of printed characters and human visual perception , 2003, Vision Research.
[74] M C Morrone,et al. Recognition of Positive and Negative Bandpass-Filtered Images , 1986, Perception.
[75] T. Wiesel,et al. Functional architecture of macaque monkey visual cortex , 1977 .
[76] R. Reid,et al. The spatial receptive field of thalamic inputs to single cortical simple cells revealed by the interaction of visual and electrical stimulation , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[77] Prashant Parikh. A Theory of Communication , 2010 .
[78] T. Valentine. Upside-down faces: a review of the effect of inversion upon face recognition. , 1988, British journal of psychology.
[79] E Peli,et al. Image enhancement for the visually impaired: the effects of enhancement on face recognition. , 1994, Journal of the Optical Society of America. A, Optics, image science, and vision.
[80] Jyrki Rovamo,et al. Neural modulation transfer function of the human visual system at various eccentricities , 1995, Vision Research.
[81] G. Yovel,et al. TMS Evidence for the Involvement of the Right Occipital Face Area in Early Face Processing , 2007, Current Biology.
[82] R. Yin. Looking at Upside-down Faces , 1969 .
[83] Norbert Wiener,et al. Extrapolation, Interpolation, and Smoothing of Stationary Time Series , 1964 .
[84] S Marcelja,et al. Mathematical description of the responses of simple cortical cells. , 1980, Journal of the Optical Society of America.
[85] I. Craw,et al. Effects of high-pass and low-pass spatial filtering on face identification , 1996, Perception & psychophysics.
[86] Paul T. Sowden,et al. Channel surfing in the visual brain , 2006, Trends in Cognitive Sciences.
[87] Jeffrey A. Sloan,et al. Spatial frequency analysis of the visual environment: Anisotropy and the carpentered environment hypothesis , 1978, Vision Research.
[88] M. Keil. Does face image statistics predict a preferred spatial frequency for human face processing? , 2008, Proceedings of the Royal Society B: Biological Sciences.
[89] I. Craw,et al. Spatial Content and Spatial Quantisation Effects in Face Recognition , 1994, Perception.
[90] G. Cristóbal,et al. Separating the chaff from the wheat: possible origins of the oblique effect. , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.
[91] K. Alexander,et al. Spatial-frequency characteristics of letter identification. , 1994, Journal of the Optical Society of America. A, Optics, image science, and vision.