Simoncelli, Eero - Center for Neural Science, New York University

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Simoncelli, Eero - Center for Neural Science, New York University

Published in: Proc 3rd IEEE Int'l Conf Image Processing. Vol. I, pp. 379382. Lausanne, Switzerland. September 1996.
Non-Separable Extensions of Quadrature Mirror Filtersto Multiple Dimensions
IMAGE DENOISING WITH AN ORIENTATION-ADAPTIVE GAUSSIAN SCALE MIXTURE MODEL
MULTI-SCALE STRUCTURAL SIMILARITY FOR IMAGE QUALITY ASSESSMENT , Eero P. Simoncelli1
Hunter College/New York University Partners in Neuroscience Research Undergraduate Training
Modeling Surround Suppression in V1 Neurons with a StatisticallyDerived Normalization Model
Subband Transforms MIT Media Laboratory Vision and Modeling Technical Report #137.
Presented at: IEEE Signal Processing Society, Eighth Workshop on Image and Multidimensional Signal Processing, Cannes France, September 1993.
Signal transmission, feature representation and computation in areas V1 and MT of the macaque monkey
Heeger, Simoncelli & Movshon 1 PNAS Computational models of cortical visual processing
Published in: Proceedings of 3rd IEEE International Conference on Image Processing. Vol. I, pp. 379-382. Lausanne, Switzerland. 16-19 September 1996.
CSIC Technical Report #54. Deposito Legal: M10904. April 11, 1999. Available at: ftp://ftp.optica.csic.es/pub/papers/portillaTR54.ps.gz
COMPRESSION AND SEGMENTATION OF IMAGES USING AN INTERSUBBAND WAVELET PROBABILITY MODEL
MIT Media Laboratory Vision and Modeling Technical Report #161. Appears in: IEEE Trans. Information Theory, vol. 38(2), pp. 587607, March 1992.
Applied and Computational Harmonic Analysis 11, 89123 (2001) doi:10.1006/acha.2000.0350, available online at http://www.idealibrary.com on
Directly Invertible Nonlinear Divisive Normalization Pyramid for Image Representation
Stimulus Synthesis for Efficient Evaluation and Refinement of Perceptual Image Quality Metrics
PROGRESSIVE WAVELET IMAGE CODING BASED ON A CONDITIONAL PROBABILITY MODEL
14 Bayesian Multi-Scale Di erential Optical Flow
Nonlinear Image Representation Using Divisive Normalization Siwei Lyu Eero P. Simoncelli
Subband Image Coding with Three-tap Pyramids Edward H. Adelson and Eero P. Simoncelli
SPARSE DECOMPOSITION OF TRANSFORMATION-INVARIANT SIGNALS WITH CONTINUOUS BASIS PURSUIT
Optimal inference explains the perceptual coherence of visual motion stimuli
ARTICLE Communicated by Konrad Paul Kording Least Squares Estimation Without Priors or Supervision
Computer Science Technical Report TR2010-934, October 2010 Courant Institute of Mathematical Sciences, New York University
2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics October 18-21, 2009, New Paltz, NY SOUND TEXTURE SYNTHESIS VIA FILTER STATISTICS
Learning least squares estimators without assumed priors or supervision
ARTICLE Communicated by Bruno Olshausen Nonlinear Extraction of Independent Components of Natural
Modeling Multiscale Subbands of Photographic Images with Fields of Gaussian Scale Mixtures
IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 11, NOVEMBER 2008 2089 Image Modeling and Denoising With
Journal of Vision (2008) 1 Maximum differentiation (MAD) competition: A
Representing and modeling images with multiscale local
Empirical Bayes Least Squares Estimation without an Explicit Prior
Courant Institute TR2005-875 Nonlinear Image Representation via Local
AN ADAPTIVE LINEAR SYSTEM FRAMEWORK FOR IMAGE DISTORTION ANALYSIS Zhou Wang and Eero P. Simoncelli
4.7 Statistical Modeling of Photographic Images Eero P. Simoncelli
Neural coding and the statistical modeling of neuronal responses Jonathan Pillow
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural
Neurocomputing 5860 (2004) 793799 www.elsevier.com/locate/neucom
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 13, NO. 4, APRIL 2004 1 Image Quality Assessment: From Error Visibility to
496 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 13, NO. 4, APRIL 2004 Differentiation of Discrete Multidimensional Signals
1338 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 12, NO. 11, NOVEMBER 2003 Image Denoising Using Scale Mixtures of
Some rigorous results on the neural coding problem Liam Paninski
Random cascades of Gaussian scale mixtures and their use in modeling natural images with application to denoising
Modeling Surround Suppression in V1 Neurons with a Statistically-Derived Normalization Model
Vision Research 38 (1998) 38993912 Local velocity representation: evidence from motion adaptation
Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes
Journal of the Optical Society of America, 15(7):1777-1786, 1988. Range Estimation by Optical Differentiation
LOCAL MOTION DETECTION: COMPARISON OF HUMAN AND MODEL Paul Schrater
October 1997 Report No. STAN-CS-TN-97-60 E cient Linear Re-rendering for
GRASP Laboratory Technical Report #414, University of Pennsylvania. 30 May 1997. Available at: ftp://ftp.cis.upenn.edu/pub/eero/buccigrossi97.ps.gz
PROGRESSIVE WAVELET IMAGE CODING BASED ON A CONDITIONAL PROBABILITY MODEL
A Di erential Optical Range Camera Hany Farid and Eero P. Simoncelli y
Published in: Proceedings of 3rd IEEE International Conference on Image Processing. Vol. III, pp. 185-188. Lausanne, Switzerland. 16-19 September 1996.
A FILTER DESIGN TECHNIQUE FOR STEERABLE PYRAMID IMAGE TRANSFORMS
Proc. Natl. Acad. Sci. USA Vol. 93, pp. 623627, January 1996
Department of Computer & Information Science Technical Reports (CIS)
University of Pennsylvania Founded by Benjamin Franklin in 1740
Presented at: IEEE Signal Processing Society, Eighth Workshop on Image and Multidimensional Signal Processing, Cannes France, September 1993.
MIT Media Laboratory Vision and Modeling Technical Report 202. Distributed Representation of Image Velocity
Recovering sound sources from embedded repetition Josh H. McDermotta,1
Current Biology Vol 19 No 22 sound segregation, as segregation is
ADDITIONAL SUPPLEMENTARY RESULTS Individual Differences Reveal the Basis of Consonance
What Can Experiments Reveal About the Origins of Music?
NATURE|Vol 453|15 May 2008 SCIENCE & MUSIC OPINION The evolution of music
Real Analysis Oral Exam Notes 2008 Chaitanya Ekanadham
Real Analysis Abridged Notes 2008 Chaitanya Ekanadham
Complex Analysis Oral Exam Notes Chaitanya Ekanadham
ODE Oral Exam Abridged Notes 2008 Chaitanya Ekanadham
Chaitanya (Chaitu) Ekanadham Special topics outline for oral examination
Special topics notes 2008 Chaitanya Ekanadham
Introduction Gain control is ubiquitous in
A Model of Neuronal Responses in Visual Area MT Eero P. Simoncelli a and David J. Heeger b
Musical intervals and relative pitch: Frequency resolution, not interval resolution, is special
David J. Heeger Professor of Psychology and Neural Science
Probability Theory Oral Exam Notes Chaitanya Ekanadham
To appear: Current Opinion in Neurobiology, Vol 13, April 2003 Vision and the Statistics of the Visual Environment
Attention as a decision in information Jacqueline Gottlieb and Puiu Balan
Local Phase Coherence and the Perception of Blur
Embedded Wavelet Image Compression Based on a Joint Probability Model
Subband Image Coding with Threetap Pyramids Edward H. Adelson and Eero P. Simoncelli
1342 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 8, AUGUST 2008 Optimal Denoising in Redundant Representations
ODE Oral Exam Notes 2008 Chaitanya Ekanadham
Published in: First IEEE Int'l Conf on Image Processing, Austin Texas, vol I, pages 790--793, November 1994.
Optimally RotationEquivariant Directional Derivative Kernels ?
Reduced-Reference Image Quality Assessment Using A Wavelet-Domain Natural Image Statistic Model
1680 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 15, NO. 6, JUNE 2006 Quality-Aware Images
IMAGE DENOISING USING MIXTURES OF GAUSSIAN SCALE MIXTURES Jose A. Guerrero-Colon Eero P. Simoncelli Javier Portilla
Probability Theory Oral Exam Abridged Notes 2008
Presented at: Picture Coding Symposium. Cambridge, MA. March, 1990. Subband Image Coding with Hexagonal Quadrature Mirror
ADAPTIVE WIENER DENOISING USING A GAUSSIAN SCALE MIXTURE MODEL IN THE WAVELET DOMAIN
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Leonard Bergstein Memorial Fellowship, established in 2008 at New York University and NYU-Brooklyn Polytechnic by the Swartz Foundation
Presented at: 2nd IEEE International Conference on Image Processing. Washington, DC. vol III, pp 444-447. October, 1995. c IEEE.
Journal of the Optical Society of America, 15(7):17771786, 1988. Range Estimation by Optical Differentiation
DiscreteTime RigidityConstrained Optical Flow ?
Published in: IEEE Transactions on Image Processing, 8(12):16881701, Dec 1999. Originally: GRASP Laboratory Technical Report #414, University of Pennsylvania.
Statistical Models for Images: Compression, Restoration and Synthesis
October 1997 Report No. STANCSTN9760 Efficient Linear Rerendering for
Orthogonal pyramid transforms for image coding
Random cascades on wavelet trees and their use in analyzing and modeling natural images
LOCALLY ADAPTIVE MULTISCALE CONTRAST OPTIMIZATION Nicolas Bonnier and Eero P. Simoncelli
Presented at: IEEE Conference on Computer Vision and Pattern Recognition, Mauii, Hawaii. June, 1991. Probability Distributions of Optical Flow
Midbrain Dopamine Neurons Signal Preference for Advance Information about Upcoming Rewards
Optimal Estimation: Prior Free Methods and Physiological Application
Linear Structure From Motion Inigo Thomas
Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes
Embedded Wavelet Image Compression Based on a Joint Probability Model
Published in: Proceedings of 3rd IEEE International Conference on Image Processing. Vol. III, pp. 185188. Lausanne, Switzerland. 1619 September 1996.
A FILTER DESIGN TECHNIQUE FOR STEERABLE PYRAMID IMAGE TRANSFORMS
Statistical Models for Images: Compression, Restoration and Synthesis
1688 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 8, NO. 12, DECEMBER 1999 Image Compression via Joint Statistical
OPTIMAL DENOISING IN REDUNDANT BASES Martin Raphan
Learning to be Bayesian without Supervision Martin Raphan
Modeling the Joint Statistics of Images in the Wavelet Domain
A Differential Optical Range Camera Hany Farid and Eero P. Simoncelli y
Presented at: IEEE Conference on Computer Vision and Pattern Recognition, Mauii, Hawaii. June, 1991. Probability Distributions of Optical Flow
Proceedings of the IEEE Workshop on Statistical and Computational Theories of Vision, Fort Collins, CO, June, 1999. http://www.cis.ohio-state.edu/ szhu/SCTV99.html
Modeling the Joint Statistics of Images in the Wavelet Domain
Model of Visual Motion Sensing David J.Heeger
Constraining a Bayesian Model of Human Visual Speed Perception
in Handbook of Image and Video Processing, 2nd edition, Al Bovik, ed., Academic Press, 2005 Structural Approaches to Image
Separate Neural Mechanisms Underlie Choices and Strategic Preferences in Risky Decision Making
news and views nature neuroscience volume 4 no 5 may 2001 461
To appear as a chapter in: Statistical Theories of the Brain eds. R Rao, B Olshausen and M Lewicki
To appear: The Visual Neurosciences, Chapter 109 Editors: Leo M. Chalupa and John S. Werner
IMAGE RESTORATION USING GAUSSIAN SCALE MIXTURES IN THE WAVELET DOMAIN
Nonlinear extraction of 'Independent Components' of elliptically symmetric densities using radial Gaussianization
A MACHINE LEARNING FRAMEWORK FOR ADAPTIVE COMBINATION OF SIGNAL DENOISING METHODS
Appears in: IEEE Transactions on Image Processing, September 1996. Steerable Wedge Filters for Local Orientation Analysis
Presented at: 2nd Annual IEEE International Conference on Image Processing. Washington, DC. October, 1995.
To appear in Nature Neuroscience, January 2000. Mechanisms of visual motion detection
Statistics Oral Exam Notes 2008 Chaitanya Ekanadham
A Bayesian Model of Conditioned Perception Alan A. Stocker
Noise characteristics and prior expectations in human visual speed perception
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Behavioral/Systems/Cognitive Behavioral and Neural Evidence of Incentive Bias for
IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. XX, NO. Y, MONTH Z 2004 1 Non-Linear Image Representation for Efficient
An Argument Against Dual Valuation System Competition: Cognitive Capacities Supporting Future Orientation Mediate
Sacred bounds on rational resolution of violent political conflict Jeremy Ginges, Scott Atran, Douglas Medin, and Khalil Shikaki
To appear as: Chapter 36 of The New Cognitive Neurosciences, 4th edition Editor: M. Gazzaniga. MIT Press, October, 2009.
Scale Mixtures of Gaussians and the Statistics of Natural Images
Local Velocity Representation: Evidence from Motion Adaptation
CONEUR 601 112 Please cite this article in press as: McDermott JH, Oxenham AJ. Music perception, pitch, and the auditory system, Curr Opin Neurobiol (2008), doi:10.1016/j.conb.2008.09.005
IMAGE DENOISING VIA ADJUSTMENT OF WAVELET COEFFICIENT MAGNITUDE CORRELATION
Direct Differential Range Estimation Using Optical Masks
University of Pennsylvania Founded by Benjamin Franklin in 1740
GRASP Laboratory Technical Report #414, University of Pennsylvania. 30 May 1997. Available at: ftp://ftp.cis.upenn.edu/pub/eero/buccigrossi97.ps.gz
Machine Learning Applied to Perception: Decision-Images for Gender Classification
Sensory Adaptation within a Bayesian Framework for Perception
Rendering Spaces for Architectural Environments Jeffry S. Nimeroff
Noise Reduction in Video Images Using Coring on QMF Arthur J. Kalb
TRANSLATION INSENSITIVE IMAGE SIMILARITY IN COMPLEX WAVELET DOMAIN Zhou Wang and Eero P. Simoncelli
Implicit encoding of prior probabilities in optimal neural populations
Behavioral/Systems/Cognitive Resolving Response, Decision, and Strategic Control
Published in: International Journal of Computer Vision, volume 40, issue 1, pages 49-71, December 2000.
Last Name __________________________ First Name____________________ MI____ Male/Female_____ Mailing Address___________________________________________________________________________
Hierarchical Modeling of Local Image Features through Lp-Nested Symmetric Distributions
Sound Texture Perception via Statistics oftheAuditoryPeriphery:EvidencefromSoundSynthesis
Remember the Future: Working Memory Training Decreases Delay Discounting Among Stimulant
NATURE NEUROSCIENCE VOLUME 14 | NUMBER 9 | SEPTEMBER 2011 1195 A R T I C L E S
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
TO APPEAR: IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 59, NO. 10 OR 11, OCTOER OR NOVEMBER 2011 1 Recovery of sparse translation-invariant signals
Sound Texture Perception via Statistics oftheAuditoryPeriphery:EvidencefromSoundSynthesis
926 VOLUME 14 | NUMBER 7 | JULY 2011 NATURE NEUROSCIENCE A R T I C L E S
Visual motion aftereffects arise from a cascade of two isomorphic adaptation mechanisms
Bayesian Learning In An Unstable World: Experimental By Elise Payzan-LeNestour and Peter Bossaerts
distribution/ Bayesian estimation of probability distributions in perceptionjeremy freeman, deep ganguli, and eero p. simoncelli...
Behavioral/Systems/Cognitive Beyond Reversal: A Critical Role for Human Orbitofrontal
Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings
To appear in: Neural Information Processing Systems (NIPS), http://nips.cc/ Granada, Spain. December 12-15, 2011.
To appear: Neural Information Processing Systems (NIPS), http://nips.cc/ Granada, Spain. December 12-15, 2011.
IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 59, NO. 10, OCTOBER 2011 4735 Recovery of Sparse Translation-Invariant Signals
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
Inattentive Valuation and Reference-Dependent Michael Woodford
Neural implementation of Bayesian inference using efficient population codes Deep Ganguli and Eero P. Simoncelli HHMI / Center for Neural Science, New York University
2011NatureAmerica,Inc.Allrightsreserved. NATURE NEUROSCIENCE ADVANCE ONLINE PUBLICATION 1
Emergence of complex cell properties by learning to generalize in natural scenes
Higher-order structure of natural images Yan Karklin
INSTITUTE OF PHYSICS PUBLISHING NETWORK: COMPUTATION IN NEURAL SYSTEMS Network: Comput. Neural Syst. 14 (2003) 483499 PII: S0954-898X(03)54200-2
A reinforcement learning approach to variational inference in probabilistic programs David Wingate
Inattentive Valuation and Reference-Dependent Michael Woodford
optimal information transfer in a noisy nonlinear neuron yan karklin and eero p. simoncelli
CLASSIFICATION OF NON-CODING RNA USING GRAPH REPRESENTATIONS OF SECONDARY STRUCTURE
LETTER Communicated by Bruno Olshausen A Hierarchical Bayesian Model for Learning Nonlinear
Is Early Vision Optimized for Extracting Higher-order Dependencies?
Hierarchical statistical models of computation in the visual cortex
Prefrontal reward signals Heterogeneous reward signals in prefrontal cortex