Reconstructing Visual Experiences from Brain Activity Evoked by Natural Movies
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[1] Jack L. Gallant,et al. Encoding and decoding in fMRI , 2011, NeuroImage.
[2] Stephen M. Smith,et al. Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging , 2010, PloS one.
[3] Hisashi Tanigawa,et al. A Motion Direction Map in Macaque V2 , 2010, Neuron.
[4] Karl J. Friston,et al. Dynamic causal modeling , 2010, Scholarpedia.
[5] Steen Moeller,et al. Multiband multislice GE‐EPI at 7 tesla, with 16‐fold acceleration using partial parallel imaging with application to high spatial and temporal whole‐brain fMRI , 2010, Magnetic resonance in medicine.
[6] Thomas Serre,et al. Reading the mind's eye: Decoding category information during mental imagery , 2010, NeuroImage.
[7] Leo L. Lui,et al. Spatial and temporal frequency tuning in striate cortex: functional uniformity and specializations related to receptive field eccentricity , 2010, The European journal of neuroscience.
[8] D. Heeger,et al. Decoding and Reconstructing Color from Responses in Human Visual Cortex , 2009, The Journal of Neuroscience.
[9] Ryan J. Prenger,et al. Bayesian Reconstruction of Natural Images from Human Brain Activity , 2009, Neuron.
[10] S. Osher,et al. Coordinate descent optimization for l 1 minimization with application to compressed sensing; a greedy algorithm , 2009 .
[11] Li Fei-Fei,et al. Towards total scene understanding: Classification, annotation and segmentation in an automatic framework , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[12] W. K. Simmons,et al. Circular analysis in systems neuroscience: the dangers of double dipping , 2009, Nature Neuroscience.
[13] Kendrick N Kay,et al. I can see what you see , 2009, Nature Neuroscience.
[14] F. Tong,et al. Decoding reveals the contents of visual working memory in early visual areas , 2009, Nature.
[15] Karl R Gegenfurtner,et al. Geometry in Nature , 1993 .
[16] Masa-aki Sato,et al. Visual Image Reconstruction from Human Brain Activity using a Combination of Multiscale Local Image Decoders , 2008, Neuron.
[17] Mark W. Woolrich,et al. Bayesian deconvolution fMRI data using bilinear dynamical systems , 2008, NeuroImage.
[18] A. Hyvärinen,et al. Spatial frequency tuning in human retinotopic visual areas. , 2008, Journal of vision.
[19] N. Logothetis. What we can do and what we cannot do with fMRI , 2008, Nature.
[20] Tom Michael Mitchell,et al. Predicting Human Brain Activity Associated with the Meanings of Nouns , 2008, Science.
[21] Bartlett W. Mel,et al. Cue combination and color edge detection in natural scenes. , 2008, Journal of vision.
[22] J. Gallant,et al. Identifying natural images from human brain activity , 2008, Nature.
[23] N. Logothetis,et al. Natural vision reveals regional specialization to local motion and to contrast-invariant, global flow in the human brain. , 2008, Cerebral cortex.
[24] Brian A. Wandell,et al. Population receptive field estimates in human visual cortex , 2008, NeuroImage.
[25] Thrasyvoulos N. Pappas,et al. Structural Similarity Quality Metrics in a Coding Context: Exploring the Space of Realistic Distortions , 2006, IEEE Transactions on Image Processing.
[26] B. Wandell,et al. Visual Field Maps in Human Cortex , 2007, Neuron.
[27] Jean-Baptiste Poline,et al. Inverse retinotopy: Inferring the visual content of images from brain activation patterns , 2006, NeuroImage.
[28] G. Rees,et al. Neuroimaging: Decoding mental states from brain activity in humans , 2006, Nature Reviews Neuroscience.
[29] J. Gallant,et al. Complete functional characterization of sensory neurons by system identification. , 2006, Annual review of neuroscience.
[30] F. Tong,et al. Decoding Seen and Attended Motion Directions from Activity in the Human Visual Cortex , 2006, Current Biology.
[31] Karl J. Friston,et al. Bilinear dynamical systems , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[32] F. Tong,et al. Decoding the visual and subjective contents of the human brain , 2005, Nature Neuroscience.
[33] Stephen V. David,et al. Parametric reverse correlation reveals spatial linearity of retinotopic human V1 BOLD response , 2004, NeuroImage.
[34] Karl J. Friston,et al. Dynamic causal modelling , 2003, NeuroImage.
[35] Ione Fine,et al. Surface segmentation based on the luminance and color statistics of natural scenes. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.
[36] A. T. Smith,et al. Spatiotemporal Frequency and Direction Sensitivities of Human Visual Areas Measured Using fMRI , 2000, NeuroImage.
[37] A. Oliva,et al. Diagnostic Colors Mediate Scene Recognition , 2000, Cognitive Psychology.
[38] Pedro M. Domingos. Why Does Bagging Work? A Bayesian Account and its Implications , 1997, KDD.
[39] D. Heeger,et al. Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1 , 1996, The Journal of Neuroscience.
[40] E. DeYoe,et al. Mapping striate and extrastriate visual areas in human cerebral cortex. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[41] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[42] R. Turner,et al. Characterizing Evoked Hemodynamics with fMRI , 1995, NeuroImage.
[43] J W Belliveau,et al. Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging. , 1995, Science.
[44] Adrian T. Lee,et al. fMRI of human visual cortex , 1994, Nature.
[45] Karl J. Friston,et al. Analysis of functional MRI time‐series , 1994, Human Brain Mapping.
[46] R. Tibshirani,et al. An Introduction to the Bootstrap , 1995 .
[47] Chuan Yi Tang,et al. A 2.|E|-Bit Distributed Algorithm for the Directed Euler Trail Problem , 1993, Inf. Process. Lett..
[48] I. Ohzawa,et al. Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. I. General characteristics and postnatal development. , 1993, Journal of neurophysiology.
[49] M P Eckert,et al. Efficient coding of natural time varying images in the early visual system. , 1993, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[50] 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.
[51] G. Orban,et al. Velocity sensitivity and direction selectivity of neurons in areas V1 and V2 of the monkey: influence of eccentricity. , 1986, Journal of neurophysiology.
[52] G A Orban,et al. Velocity discrimination in central and peripheral visual field. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[53] A J Ahumada,et al. Model of human visual-motion sensing. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[54] E H Adelson,et al. Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[55] S. McKee,et al. The detection of motion in the peripheral visual field , 1984, Vision Research.
[56] D. H. Kelly,et al. Retinal inhomogeneity. I. Spatiotemporal contrast sensitivity. , 1984, Journal of the Optical Society of America. A, Optics and image science.
[57] Donald W. Marquaridt. Generalized Inverses, Ridge Regression, Biased Linear Estimation, and Nonlinear Estimation , 1970 .