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    Differentiating image representations in terms of their local geometry
D Lipshutz*, J Feather*, S Harvey, A Williams and E P Simoncelli. Annual meeting, Computational Cognitive Neuroscience, Aug 2025.
Abstract

    Generalized compressed sensing for image reconstruction with diffusion probabilistic models
LQ Zhang, Z Kadkhodaie, E P Simoncelli and D H Brainard. Trans. Machine Learning Research, May 2025. To appear.
Abstract

    Discriminating image representations with principal distortions
J Feather*, D Lipshutz*, S E Harvey, A H Williams and E P Simoncelli. Int'l Conf on Learning Representations (ICLR), vol.13 Apr 2025.
Abstract | PDF

    Perceptual learning improves discrimination but does not reduce distortions in appearance
SFA Szpiro, CS Burlingham, EP Simoncelli and M Carrasco. PLOS Computational Biology, Apr 2025. To appear.
Abstract

    Contrastive-equivariant self-supervised learning improves alignment with primate visual area IT
T Yerxa, J Feather, E P Simoncelli and SY Chung. Computational and Systems Neuroscience (CoSyNe), Mar 2025.
Abstract

    Selectivity of neurons in macaque V4 for object and texture images
J Lieber, E P Simoncelli and J A Movshon. Computational and Systems Neuroscience (CoSyNe), Mar 2025.
Abstract

    Comparing image representations in terms of sensitivities to local distortions
D Lipshutz*, J Feather*, S Harvey, A Williams and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2025.
Abstract

    Detecting Moving Objects During Self-motion
Hope Lutwak. PhD thesis, ,
Jan 2025.
Abstract | PDF

    Shaping the distribution of neural responses with interneurons in a recurrent circuit model
D Lipshutz and E P Simoncelli. Adv. Neural Information Processing (NeurIPS), vol.37 Dec 2024.
Abstract | PDF

    Learning predictable and robust neural representations by straightening image sequences
X Niu, C Savin and E P Simoncelli. Adv. Neural Information Processing (NeurIPS), vol.37 Dec 2024.
Abstract | PDF

    Contrastive-equivariant self-supervised learning improves alignment with primate visual area IT
T Yerxa, J Feather, E P Simoncelli and SY Chung. Adv. Neural Information Processing (NeurIPS), vol.37 Dec 2024.
Abstract | PDF

    Comparing the local information geometry of image representations
D Lipshutz*, J Feather*, S E Harvey, A H Williams and E P Simoncelli. Proc. UniReps: Unifying Representations in Neural Models, A workshop at Neural Information Processing Systems (NeurIPS), Dec 2024.
Abstract

    Learning predictable and robust neural representations by straightening image sequences
X Niu, C Savin and E P Simoncelli. arXiv.org e-prints, Technical Report 2411.01777, Nov 2024.
Abstract

    Feature-guided score diffusion for sampling conditional densities
Z Kadkhodaie, S Mallat and E P Simoncelli. arXiv.org e-prints, Technical Report 2410.11646, Oct 2024.
Abstract | PDF

    Discriminating image representations with principal distortions
J Feather*, D Lipshutz*, S E Harvey, A H Williams and E P Simoncelli. arXiv.org e-prints, Technical Report 2410.15433, Oct 2024.
Abstract | PDF

    Video prediction using score-based conditional density estimation
P-E Fiquet and E P Simoncelli. arXiv.org e-prints, Technical Report 2411.00842, Oct 2024.
Abstract | PDF

    Natural Image Densities: Learning, Understanding and Utilizing
Zahra Kadkhodaie. PhD thesis, ,
Sep 2024.
Abstract | PDF

    Visual Temporal Prediction: Representation, Estimation, and Modeling
Pierre-Etienne Fiquet. PhD thesis, ,
Sep 2024.
Abstract | PDF

    Fixational eye movements enhance the precision of visual information transmitted by the primate retina
E G Wu, N Brackbill, C Rhoades, A Kling, A R Gogliettino, N P Shah, A Sher, A M Litke, E P Simoncelli and E J Chichilnisky. Nature Communications, vol.15(7964), Sep 2024.
Abstract | PDF

    Equivariant Self-Supervised Learning Improves IT Predictivity
T Yerxa, J Feather, E P Simoncelli and SY Chung. Annual Meeting, Cognitive Computational Neuroscience, Aug 2024.
Abstract | PDF

    Neuronal and behavioral responses to naturalistic texture images in macaque monkeys
C M Ziemba, R L T Goris, G M Stine, R K Perez, E P Simoncelli and J A Movshon. J Neuroscience, vol.44 Aug 2024.
Abstract | PDF

    Responses of neural populations in macaque V4 to object and texture images
J D Lieber, T D Oleskiw, L Palmieri, E P Simoncelli and J A Movshon. Proc. AREADNE: Research in Encoding And Decoding of Neural Ensembles, Jun 2024.
Abstract

    Layerwise complexity-matched learning yields an improved model of cortical area V2
N Parthasarathy, O J Hénaff and E P Simoncelli. Trans. Machine Learning Research, Jun 2024.
Recipient, Featured Article certification.
Abstract | PDF

    A unified framework for perceived magnitude and discriminability of sensory stimuli
J Y Zhou, L R Duong and E P Simoncelli. Proc. Nat'l Academy of Sciences, vol.121(25), Jun 2024.
Abstract | PDF

    Shaping the distribution of neural responses with interneurons in a recurrent circuit model
D Lipshutz and E P Simoncelli. arXiv.org e-prints, Technical Report 2405.17745, May 2024.
Abstract

    Optimized Linear Measurements for Inverse Problems using Diffusion-Based Image Generation
LQ Zhang, Z Kadkhodaie, E P Simoncelli and D H Brainard. arXiv.org e-prints, Technical Report 2405.17456, May 2024.
Abstract

    Mapping models of V1 and V2 selectivity with local spectral reverse correlation
T D Oleskiw, R T Raghavan, J D Lieber, E P Simoncelli and J A Movshon. Annual Meeting, Vision Sciences Society, vol.24 May 2024.
Abstract

    Detecting moving objects during self-motion
H Lutwak, B Rokers and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.24 May 2024.
Abstract

    A foveated model of visual discrimination based on windowed texture statistics
J Kurzawski, W F Broderick, E P Simoncelli and J Winawer. Workshop on Computational and Mathematical Models in Vision (ModVis), Vision Sciences Society, May 2024.
Abstract

    Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
B Lyo and C Savin. Int'l Conf on Learning Representations (ICLR), vol.12 May 2024.
Abstract

    Generalization in diffusion models arises from geometry-adaptive harmonic representation
Z Kadkhodaie, F Guth, E P Simoncelli and S Mallat. Int'l Conf on Learning Representations (ICLR), vol.12 May 2024.
Recipient, Outstanding Paper award.
Abstract | PDF

    Foundations of visual form selectivity for neurons in macaque areasV1 and V2
T D Oleskiw, J D Lieber, E P Simoncelli and J A Movshon. bioRxiv, Technical Report 2024.03.04.583307, Mar 2024.
Abstract | PDF

    Learning robust neural representations by straightening natural videos
X Niu, E P Simoncelli and C Savin. Computational and Systems Neuroscience (CoSyNe), Mar 2024.
Abstract

    Adaptive coding efficiency with fast gain modulation and slow synaptic plasticity
D Lipshutz, L R. Duong, D B Chklovskii and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2024.
Abstract

    Responses of neurons in macaque V4 to object and texture images
J D Lieber, T D Oleskiw, E P Simoncelli and J A Movshon. bioRxiv, Technical Report 2024.02.20.581273, Feb 2024.
Abstract | PDF

    Neuronal and behavioral responses to naturalistic texture images in macaque monkeys
C M Ziemba, R L T Goris, G M Stine, R K Perez, E P Simoncelli and J A Movshon. bioRxiv, Technical Report 2024.02.22.581645, Feb 2024.
Abstract | PDF

    Towards aligning artificial and biological vision systems with self-supervised representation learning
Nikhil Parthasarathy. PhD thesis, ,
Jan 2024.
Abstract | PDF

    Layerwise complexity-matched learning yields an improved model of cortical area V2
N Parthasarathy, O J Hénaff and E P Simoncelli. arXiv.org e-prints, Technical Report 2312.11436, Dec 2023.
Abstract | PDF

    Adaptive whitening with fast gain modulation and slow synaptic plasticity
L R Duong, E P Simoncelli, D B Chklovskii and D Lipshutz. Adv. Neural Information Processing Systems (NeurIPS), vol.36 Dec 2023.
Abstract | PDF

    A polar prediction model for learning to represent visual transformations
P-E Fiquet and E P Simoncelli. Adv. Neural Information Processing Systems (NeurIPS), vol.36 Dec 2023.
Abstract | PDF

    Efficient coding of natural images using maximum manifold capacity representations
T E Yerxa, Y Kuang, E P Simoncelli and SY Chung. Adv. Neural Information Processing Systems (NeurIPS), vol.36 Dec 2023.
Abstract | PDF

    Self-supervised video pretraining yields robust and more human-aligned visual representations
N Parthasarathy, S M A Eslami, J Carreira and O J Hénaff. Adv. Neural Information Processing Systems (NeurIPS), vol.36 Dec 2023.
Abstract

    Strong generalization in diffusion models
Z Kadkhodaie, F Guth, E P Simoncelli and S Mallat. Adv. Neural Information Processing Systems (NeurIPS), Workshop on Diffusion Models, Dec 2023.
Abstract | PDF

    Comparing neural models using their perceptual discriminability predictions
J Y Zhou, C Chun, A Subramanian and E P Simoncelli. Proc. UniReps: Unifying Representations in Neural Models, A workshop at Neural Information Processing Systems (NeurIPS), vol.243 Dec 2023.
Abstract | PDF

    Comparing neural models using their perceptual discriminability predictions
J Y Zhou, C Chun, A Subramanian and E P Simoncelli. bioRxiv, Technical Report 2023.11.17.567604, Nov 2023.
Abstract | PDF

    Adaptive coding efficiency in neural populations with gain modulation
L R Duong*, D Lipshutz*, D J Heeger, D B Chklovskii and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2023.
Abstract

    Foveated metamers of the early visual system
W F Broderick, G Rufo, J Winawer and E P Simoncelli. eLife, Nov 2023.
Abstract | PDF

    Targeted V1 comodulation supports task-adaptive sensory decisions
C Haimerl, D A Ruff, M R Cohen, C Savin and E P Simoncelli. Nature Communications, Nov 2023.
Abstract | PDF

    Generalization in diffusion models arises from geometry-adaptive harmonic representation
Z Kadkhodaie, F Guth, E P Simoncelli and S Mallat. arXiv.org e-prints, Technical Report 2310.02557, Oct 2023.
Abstract | PDF

    Adaptive whitening with fast gain modulation and slow synaptic plasticity
L R Duong, E P Simoncelli, D B Chklovskii and D Lipshutz. arXiv.org e-prints, Technical Report 2308.13633, Aug 2023.
Abstract | PDF

    Fixational eye movements enhance the precision of visual information transmitted by the primate retina
E G Wu, N Brackbill, C Rhoades, A Kling, A R Gogliettino, N P Shah, A Sher, A M Litke, E P Simoncelli and E J Chichilnisky. bioRxiv, Technical Report 2023.08.12.552902, Aug 2023.
Abstract | PDF

    Neural network adaptive coding efficiency and stochastic representational geometry
Lyndon Duong. PhD thesis, ,
Aug 2023.
Abstract | PDF

    Adaptive whitening in neural populations with gain-modulating interneurons
L Duong*, D Lipshutz*, D Heeger, D Chklovskii and E P Simoncelli. . Proc 40th Int'l Conf on Machine Learning, Jul 2023.
Abstract | PDF

    Foveated metamers of the early visual system
W F Broderick, G Rufo, J Winawer and E P Simoncelli. bioRxiv, Technical Report 2023.05.18.541306, May 2023.
Abstract

    Adaptive Coding Efficiency in Recurrent Cortical Circuits via Gain Control
Lyndon R. Duong, Colin Bredenberg, David J. Heeger and Eero P. Simoncelli. arXiv.org e-prints, Technical Report 2305.19869, May 2023.
Abstract

    Plenoptic: A platform for synthesizing model-optimized visual stimuli
L R Duong, K Bonnen, W F Broderick, P E Fiquet, N Parthasarathy, T E Yerxa, X Zhao and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.23 May 2023.
Abstract

    Foveated metamers of the early visual system
W F Broderick, G Rufo, J Winawer and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.23 May 2023.
Abstract

    Neurons in macaque V4 prefer natural images to scrambled textures
J D Lieber, T D Oleskiw, E P Simoncelli and J A Movshon. Annual Meeting, Vision Sciences Society, vol.23 May 2023.
Abstract

    Bayesian analysis of motion priors and speed discrimination in the periphery
A Nguyen, M S Landy, E P Simoncelli and K Bonnen. Annual Meeting, Vision Sciences Society, vol.23 May 2023.
Abstract

    V4 neurons are tuned for local and non-local features of natural planar shape
T D Oleskiw, J H Elder, I Fruend, G M Lee, A Sutter, A Pasupathy, E P Simoncelli, J A Movshon, L Kiorpes, N Majaj. Annual Meeting, Vision Sciences Society, vol.23 May 2023.
Abstract

    Computing and comparing metric tensors in neural response models
J Y Zhou, C Chun, A Subramanian and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.23 May 2023.
Abstract

    Efficient coding of local 2D shape
J Elder, T D Oleskiw, I Fruend, G M Lee, A Pasupathy, E P Simoncelli, J A Movshon, L Kiorpes and N Majaj. Workshop on Computational and Mathematical Models in Vision (ModVis), Vision Sciences Society, May 2023.
Abstract

    Learning multi-scale local conditional probability models of images
Z Kadkhodaie, F Guth, S Mallat and E P Simoncelli. Int'l Conf on Learning Representations (ICLR), May 2023.
Oral (spotlight) presentation.
Abstract | PDF

    Spatial frequency selectivity in macaque LGN and V1
Paul Levy. PhD thesis, ,
Apr 2023.
Abstract | PDF

    Polar prediction of natural videos
P-E Fiquet and E P Simoncelli. arXiv.org e-prints, Technical Report 2303.03432, Mar 2023.
Abstract | PDF

    Learning efficient coding of natural images with maximum manifold capacity representations
T Yerxa, Y Kuang, E P Simoncelli and SY Chung. arXiv.org e-prints, Technical Report 2303.03307, Mar 2023.
Abstract | PDF

    Neural representation and predictive processing of dynamic visual signals
P-E Fiquet and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2023.
Abstract

    Learning a visual representation by maximizing manifold capacity
T Yerxa, Y Kuang, E P Simoncelli and SY Chung. Computational and Systems Neuroscience (CoSyNe), Mar 2023.
Abstract

    Learning a divisive normalization model with a denoising objective
X Zhao and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2023.
Abstract

    V4 neurons are tuned for local and non-local features of natural planar shape
T Oleskiw, J Elder, G Lee, A Sutter, A Pasupathy, E P Simoncelli, J A Movshon, L Kiorpes and N Majaj. Computational and Systems Neuroscience (CoSyNe), Mar 2023.
Abstract

    Adaptive coding efficiency through joint gain control in neural populations
L Duong*, D Lipshutz*, D J Heeger, D Chklovskii and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2023.
Abstract

    Learning predictive neural representations by straightening natural videos
X Niu, C Savin and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2023.
Abstract

    Encoding priors in recurrent neural circuits with dendritic nonlinearities
B Lyo, E P Simoncelli and C Savin. Computational and Systems Neuroscience (CoSyNe), Mar 2023.
Abstract

    Catalyzing next-generation [Artificial Intelligence through NeuroAI
A Zador, S Escola, B Richards, B Olveczky, Y Bengio, K Boahen, M Botvinick, D Chklovskii, A Churchland, C Clopath, J DiCarlo, S Ganguli , J Hawkins, K Koerding, A Koulakov, Y LeCun, T Lillicrap, A Marblestone, B Olshausen , A Pouget, C Savin, T Sejnowski, E P Simoncelli, S Solla, D Sussillo, AS Tolias and D Tsao. Nature Communications, vol.14(1597), Mar 2023.
Abstract | PDF

    Statistical whitening of neural populations with gain-modulating interneurons
L R Duong*, D Lipshutz*, D J Heeger, D B Chklovskii, E P Simoncelli. arXiv.org e-prints, Technical Report 2301.11955, Jan 2023.
Abstract | PDF

    Maximum a posteriori natural scenes reconstruction from retinal ganglion cells with deep denoiser priors
E G Wu, N Brackbill, A Sher, A M Litke, E P Simoncelli and E J Chichilnisky. Adv. Neural Information Processing Systems (NeurIPS), vol.35 Dec 2022.
Abstract | PDF

    Fine-tuning hierarchical circuits through learned stochastic co-modulation
C Haimerl, E P Simoncelli and C Savin . Adv. Neural Information Processing Systems, Workshop on ''All Things Attention'', Dec 2022.
Abstract | PDF

    Neurons in macaque V4 prefer natural images to scrambled textures
J D Lieber, T D Oleskiw, E P Simoncelli and J A Movshon. Annual Meeting, Neuroscience, Nov 2022.
Abstract

    Toward next-generation Artificial Intelligence: Catalyzing the NeuroAI revolution
A Zador, B Richards, B Olveczky, S Escola, Y Bengio, K Boahen, M Botvinick, D Chklovskii, A Churchland, C Clopath, J DiCarlo, S Ganguli, J Hawkins, K Koerding, A Koulakov, Y LeCun, T Lillicrap, A Marblestone, B Olshausen, A Pouget, C Savin, T Sejnowski, E Simoncelli, S Solla, D Sussillo, A Tolias and D Tsao. arXiv.org e-prints, Technical Report 2210.08340, Oct 2022.
Abstract | PDF

    Photographic Image Priors In The Era Of Machine Learning
E P Simoncelli. Int'l Conf on Image Processing, Oct 2022. Plenary talk.
Abstract

    Perceptual learning improves discrimination while distorting appearance
SFA Szpiro, CS Burlingham, E P Simoncelli and M Carrasco. bioRxiv, Technical Report 2022.09.08.507104, Sep 2022.
Abstract

    Normative theories of synaptic plasticity for representation and perceptual discrimination
Colin Bredenberg. PhD thesis, ,
Sep 2022.
Abstract | PDF

    Deep denoising for scientific discovery: A case study in electron microscopy
S Mohan, R Manzorro, J L Vincent, B Tang, D Y Sheth, E P Simoncelli, D S Matteson, P A Crozier and C Fernandez-Granda. IEEE Trans. Computational Imaging, vol.8 pp. 585--597, Jul 2022.
Abstract | PDF

    A common framework for discriminability and perceived intensity of sensory stimuli
J Y Zhou, L R Duong and E P Simoncelli. bioRxiv, Technical Report 2022.04.30.490146, May 2022.
Abstract | PDF

    Maximum a posteriori natural scenes reconstruction from retinal ganglion cells with deep denoiser priors
E G Wu, N Brackbill, A Sher, A M Litke, E P Simoncelli and EJ Chichilnisky. bioRxiv, Technical Report 2022.05.19.492737, May 2022.
Abstract | PDF

    Image reconstruction from cone excitations using the implicit prior in a denoiser
L Q Zhang, Z Kadkhodaie, E P Simoncelli and D H Brainard. Annual Meeting, Vision Sciences Society, vol.22 May 2022.
Abstract

    Detecting moving objects during self motion
H Lutwak, K Bonnen and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.22 May 2022.
Abstract

    A two-layer model explains higher-order feature selectivity of V2 neurons
T D Oleskiw, J D Lieber, J A Movshon and E P Simoncelli. Workshop on Computational and Mathematical Models in Vision (ModVis), Vision Sciences Society, May 2022.
Abstract

    Effects of foveation on early visual representations
William F. Broderick. PhD thesis, ,
May 2022.
Abstract | PDF

    Flexible sensory information processing through targeted stochastic co-modulation
Caroline Haimerl. PhD thesis, ,
May 2022.
Abstract | PDF

    Robust and interpretable denoising via deep learning
Sreyas Mohan. PhD thesis, ,
May 2022.
Abstract | PDF

    Gain-mediated statistical adaptation in recurrent neural networks
L Duong, C Bredenberg, D J Heeger and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2022.
Abstract

    Local low dimensionality is all you need
T Yerxa and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2022.
Abstract

    Fine-tuning hierarchical circuits through learned stochastic co-modulation
C Haimerl, E P Simoncelli and C Savin. Computational and Systems Neuroscience (CoSyNe), Mar 2022.
Abstract

    Experience early in auditory conditioning impacts across-animal variability in neural tuning
K Martin, C Bredenberg, C Savin, J Lei, E P Simoncelli and R Froemke. Computational and Systems Neuroscience (CoSyNe), Mar 2022.
Abstract

    Mapping spatial frequency preferences across human primary visual cortex
W F Broderick, E P Simoncelli and J Winawer. Journal of Vision, vol.22(3), Mar 2022.
Abstract | PDF

    Stochastic solutions for linear inverse problems using the prior implicit in a denoiser
Z Kadkhodaie and E P Simoncelli. Adv. Neural Information Processing Systems (NeurIPS), vol.34 pp. 13242--13254, Dec 2021.
Abstract | PDF

    Impression Learning: Online representation learning with synaptic plasticity
C Bredenberg, B S H Lyo, E P Simoncelli and C Savin. Adv. Neural Information Processing Systems (NeurIPS), vol.34 Dec 2021.
Abstract | PDF

    Adaptive denoising via GainTuning
S Mohan, J L Vincent, R Manzorro, P Crozier, C Fernandez-Granda and E P Simoncelli. Adv. Neural Information Processing Systems (NeurIPS), vol.34 Dec 2021.
Abstract | PDF

    Developing and evaluating deep neural network-based denoising for nanoparticle TEM images with ultra-low signal-to-noise
J L Vincent, R Manzorro, S Mohan, B Tang, D Y Sheth, E P Simoncelli, D S Matteson, C Fernandez-Granda and P A Crozier. Microscopy and Microanalysis, vol.27(6), pp. 1431--1447, Dec 2021.
Abstract | PDF

    Weber, Fechner and Stevens can co-exist under Fisher's roof
J Y Zhou, L R Duong and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2021.
Abstract

    Neural and behavioral variability in auditory perceptual learning
K A Martin, C Bredenberg, E P Simoncelli, C Savin and R C Froemke. Annual Meeting, Neuroscience, Nov 2021.
Abstract

    Unsupervised deep video denoising
D Y Sheth*, S Mohan*, J L Vincent, R Manzorro, P A Crozier, M M Khapra, E P Simoncelli and C Fernandez-Granda. Int'l Conf. Computer Vision (ICCV), Oct 2021.
Abstract | PDF

    Primary visual cortex straightens natural video trajectories
O Hénaff, Y Bai, J Charlton, I Nauhaus, E P Simoncelli and R L T Goris. Nature Communications, vol.12(5982), Oct 2021.
Abstract | PDF

    Mapping spatial frequency preferences across human primary visual cortex
W F Broderick, E P Simoncelli and J Winawer. bioRxiv, Technical Report 2021.09.27.462032, Sep 2021.
Abstract | PDF

    Adaptive denoising via GainTuning
S Mohan, J L Vincent, R Manzorro, P Crozier, C Fernandez-Granda and E P Simoncelli. arXiv.org e-prints, Technical Report 2107.12815, Jul 2021.
Abstract | PDF

    Opposing effects of selectivity and invariance in peripheral vision
C M Ziemba and E P Simoncelli. Nature Communications, vol.12(4597), Jul 2021.
Abstract | PDF

    A two-stage model of V2 demonstrates efficient higher-order feature representation
T Oleskiw, R Diaz-Pacheco, J A Movshon and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.21 May 2021.
Abstract

    Fechner and Stevens can Co-exist under Fisher's Roof
J Y Zhou, L Duong and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.21 May 2021.
Abstract

    Pinpointing the neural signatures of single-exposure visual recognition memory
V Mehrpour, T Meyer, E P Simoncelli and N C Rust. Proc. Nat'l Academy of Sciences, vol.118(18), May 2021.
Abstract | PDF

    Targeted comodulation supports flexible and accurate decoding in V1
C Haimerl, D A Ruff, M R Cohen, C Savin and E P Simoncelli. bioRxiv, Technical Report 2021.02.23.432351, Feb 2021.
Abstract | PDF

    Impression learning: Online predictive coding with synaptic plasticity
C Bredenberg, E P Simoncelli and C Savin. Computational and Systems Neuroscience (CoSyNe), Feb 2021.
Abstract

    A two-stage model of V2 demonstrates efficient higher-order feature representation
T Oleskiw, R Diaz-Pacheco, J A Movshon and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Feb 2021.
Abstract

    Modeling individual variability in neural tuning during auditory perceptual learning
K Martin, C Bredenberg, E P Simoncelli, C Savin and R Froemke. Computational and Systems Neuroscience (CoSyNe), Feb 2021.
Abstract

    Comparison of full-reference image quality models for optimization of image processing systems
K Ding, K Ma, S Wang and E P Simoncelli. Int'l Journal of Computer Vision, vol.129 pp. 1258--1281, Jan 2021.
Abstract | PDF

    Unsupervised deep video denoising
D Y Sheth*, S Mohan*, J L Vincent, R Manzorro, P A Crozier, M M Khapra, E P Simoncelli and C Fernandez-Granda. arXiv.org e-prints, Technical Report 2011.15045, Dec 2020.
Abstract | PDF

    Learning efficient task-dependent representations with synaptic plasticity
C Bredenberg, E P Simoncelli and C Savin. Adv. Neural Information Processing Systems (NeurIPS), vol.33 Dec 2020.
Abstract | PDF

    Solving linear inverse problems using the prior implicit in a denoiser
Z Kadkhodaie and E P Simoncelli. Adv. Neural Information Processing Systems, Workshop on Deep Learning and Inverse Problems, Dec 2020.
Abstract | PDF

    Image quality assessment: Unifying structure and texture similarity
K Ding, K Ma, S Wang and E P Simoncelli. IEEE Trans. Pattern Analysis and Machine Intelligence, vol.44(5), pp. 2567--2581, Dec 2020.
Abstract | PDF

    Self-supervised learning of a visual texture representation for cortical area V2
N Parthasarathy and E P Simoncelli. From Neuroscience to Artificially Intelligent Systems (NAISys), Nov 2020.
Abstract

    Unsupervised learning of image manifolds with mutual information
D A Klindt, J Ballé, J Shlens and E P Simoncelli. From Neuroscience to Artificially Intelligent Systems (NAISys), Nov 2020.
Abstract

    Learning and utilizing a prior for natural images with deep neural networks
Z Kadkhodaie and E P Simoncelli. From Neuroscience to Artificially Intelligent Systems (NAISys), Nov 2020.
Abstract

    Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy
S Mohan, R Manzorro, J L Vincent, B Tang, D Y Sheth, E P Simoncelli, D S Matteson, P A Crozier and C Fernandez-Granda. arXiv.org e-prints, Technical Report 2010.12970, Oct 2020.
Abstract | PDF

    Solving linear inverse problems using the prior implicit in a denoiser
Z Kadkhodaie and E P Simoncelli. arXiv, (2007.13640), Jul 2020. Updated: 1/21, 5/21.
Abstract | PDF

    Pinpointing the neural signatures of single-exposure visual familiarity
V Mehrpour, T Meyer, E P Simoncelli and N C Rust. bioRxiv, Technical Report 2020.07.01.182881, Jun 2020.
Abstract | PDF

    Learning efficient task-dependent representations with synaptic plasticity
C Bredenberg, E P Simoncelli and C Savin. bioRxiv, Technical Report 2020.06.19.162172, Jun 2020.
Abstract | PDF

    Self-supervised learning of a biologically-inspired visual texture model
N Parthasarathy and E P Simoncelli. arXiv.org e-prints, Technical Report 2006.16976, Jun 2020.
Abstract | PDF

    Comparison of image quality models for optimization of image processing systems
K Ding, K Ma, S Wang and E P Simoncelli. arXiv.org e-prints, Technical Report 2005.01338, May 2020.
Abstract | PDF

    Testing a two-stage model of stimulus selectivity in macaque V2
T D Oleskiw, J D Lieber, J A Movshon and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.20 May 2020.
Abstract

    Estimating scaling of retinal and cortical pooling using metamers
W F Broderick, G Rufo, J Winawer and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.20 May 2020.
Abstract

    Differing mechanisms for contrast-dependent spatial frequency selectivity in macaque LGN and V1 neurons
P Levy, S Sokol, E P Simoncelli and J A Movshon. Annual Meeting, Vision Sciences Society, vol.20 May 2020.
Abstract

    Image quality assessment: Unifying structure and texture similarity
Keyan Ding, Kede Ma, Shiqi Wang and Eero P Simoncelli. arXiv.org e-prints, Technical Report 2004.07728, Apr 2020.
Abstract | PDF

    Robust and interpretable blind image denoising via bias-free convolutional neural networks
S Mohan*, Z Kadkhodaie*, E P Simoncelli and C Fernandez-Granda. Int'l Conf on Learning Representations (ICLR), Apr 2020.
Abstract | PDF

    Inference of nonlinear receptive field subunits with spike-triggered clustering
N P Shah, N Brackbill, C Rhoades, A Tikidji-Hamburyan, G Goetz, A Litke, A Sher, E P Simoncelli and E J Chichilnisky. eLife, Mar 2020.
Abstract | PDF

    Disambiguating memory from contrast in monkey inferotemporal cortex
V Mehrpour, T Meyer, E P Simoncelli and N C Rust. Computational and Systems Neuroscience (CoSyNe), Feb 2020.
Abstract

    Learning a texture model for representing cortical area V2
N Parthasarathy and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Feb 2020.
Abstract

    Flexible information routing in neural populations through stochastic comodulation
C Haimerl, C Savin and E P Simoncelli. Adv. Neural Information Processing Systems (NeurIPS), vol.32 pp. 14379--14388, Dec 2019.
Abstract | PDF

    Compound stimuli reveal the structure of visual motion selectivity in macaque MT neurons
A Zaharia, R Goris, J A Movshon and E P Simoncelli. eNeuro, vol.6(6), Nov 2019.
Abstract | PDF

    Representations of image memory and image memorability are largely non-overlapping in inferotemporal cortex
V Mehrpour, E P Simoncelli and NC Rust. Annual Meeting, Neuroscience, Oct 2019.
Abstract

    Neural straightening of natural image sequences in macaque V1 and V2
Y Bai, O J Hénaff, C M Ziemba, E P Simoncelli and R L T Goris. Annual Meeting, Neuroscience, Oct 2019.
Abstract

    Temporal straightening capabilities of models for human vision
L Cassard and E P Simoncelli. Annual Meeting, Neuroscience, Oct 2019.
Abstract

    Blind image quality assessment by learning from multiple annotators
K Ma, X Liu, Y Fang and E P Simoncelli. Proc 28th IEEE Int'l Conf on Image Proc (ICIP), pp. 2344-2347, Sep 2019.
Abstract | PDF

    Robust and interpretable blind image denoising via bias-free convolutional neural networks
S Mohan*, Z Kadkhodaie*, E P Simoncelli and C Fernandez-Granda. arXiv.org e-prints, Technical Report 1906.05478, Jun 2019.
Abstract | PDF

    Compound stimuli reveal the structure of visual motion selectivity in macaque MT neurons
A Zaharia, R Goris, J A Movshon and E P Simoncelli. , Technical Report , Jun 2019.
Abstract | PDF

    Contrast-dependent spatial frequency selectivity in macaque V1 neurons explained with tuned contrast gain control
P G Levy, E P Simoncelli and J A Movshon. Annual Meeting, Vision Sciences Society, vol.19 May 2019.
Abstract

    A canonical computational model of cortical area V2
T D Oleskiw and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.19 May 2019.
Abstract

    Flexible and accurate decoding of neural populations through stochastic comodulation
C Haimerl, C Savin and E P Simoncelli. bioRxiv, Apr 2019.
Abstract | PDF

    Perceptual straightening of natural videos
O J Hénaff, R L T Goris and E P Simoncelli. Nature Neuroscience, vol.22(6), pp. 984--991, Apr 2019.
Abstract | PDF

    Learning efficient, task-dependent representations with synaptic plasticity
C Bredenberg, E P Simoncelli and C Savin. Computational and Systems Neuroscience (CoSyNe), Feb 2019.
Abstract

    Targeted comodulation supports accurate decoding in V1
C Haimerl, C Savin and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Feb 2019.
Abstract

    Neural straightening of natural videos in macaque primary visual cortex
O J Hénaff, Y Bai, J Charlton, I Nauhaus, E P Simoncelli and R L T Goris. Computational and Systems Neuroscience (CoSyNe), Feb 2019.
Abstract

    Inference of Nonlinear Spatial Subunits by Spike-Triggered Clustering in Primate Retina
N P Shah, N Brackbill, C E Rhoades, A Tikidji-Hamburyan, G Goetz, A Litke, A Sher, E P Simoncelli and EJ Chichilnisky. , Technical Report , Dec 2018.
Abstract | PDF

    Learning a model for visual texture selectivity from natural images
T D Oleskiw and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2018.
Abstract

    Neural straightening of natural videos in macaque primary visual cortex
Y H Bai, O J Hénaff, J Charlton, I Nauhaus, E P Simoncelli and R L T Goris. Annual Meeting, Neuroscience, Nov 2018.
Abstract

    Testing a mechanism for temporal prediction in perceptual, neural, and machine representations
Olivier J Hénaff. PhD thesis, ,
Sep 2018.
Abstract | PDF

    Slow gain fluctuations limit temporal integration in visual cortex
R L T Goris, C M Ziemba, J A Movshon and E P Simoncelli. Journal of Vision, vol.18(8), Aug 2018.
Abstract

    Efficient coding of natural images with Nonlinear-Linear-Nonlinear cascade model
Z J Wang, X Wei and E Simoncelli. Annual Meeting, Vision Sciences Society, vol.18 May 2018.
Abstract

    Mapping spatial frequency preferences in the human visual cortex
W F Broderick, N C Benson, E P Simoncelli and J Winawer. Annual Meeting, Vision Sciences Society, vol.18 May 2018.
Abstract

    Hierarchically normalized models of visual distortion sensitivity: Physiology, perception, and application
Alexander Berardino. PhD thesis, ,
May 2018.
Abstract | PDF

    Contextual modulation of sensitivity to naturalistic image structure in macaque V2
C M Ziemba, J Freeman, E P Simoncelli and J A Movshon. Journal of Neurophysiology, Apr 2018.
Abstract | PDF

    Shared stochastic modulation can facilitate biologically plausible decoding
C Haimerl and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2018.
Abstract

    Opposing effects of summary statistics on peripheral discrimination
C M Ziemba and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2018.
Abstract

    Perceptual straightening of natural videos
O J Hénaff, R L T Goris and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2018.
Abstract

    Eigen-distortions of hierarchical representations
A Berardino, V Laparra, J Ballé and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*17), vol.30 pp. 3530--3539, Dec 2017.
Abstract | PDF

    Selectivity of contextual modulation in macaque V1 and V2
C M Ziemba, R K Perez, E P Simoncelli and J A Movshon. Annual Meeting, Neuroscience, Nov 2017.
Abstract

    Eigen-Distortions of Hierarchical Representations
A Berardino, J Ballé, V Laparra and E P Simoncelli. arXiv.org e-prints, Technical Report 1710.02266, Oct 2017.
Abstract | PDF

    The temporal dynamics of meta-cognition in a continuous visuomotor task
S M Locke, M S Landy, E P Simoncelli and P Mamassian. First annual meeting, Cognitive Computational Neuroscience, Sep 2017.
Abstract

    Perceptually optimized image rendering
V Laparra, A Berardino, J Ballé and E P Simoncelli. Journal Optical Society of America, A, vol.34(9), pp. 1511--1525, Sep 2017.
Abstract | PDF

    Uncoupling choice formation and choice-correlated activity in early visual cortex
C M Ziemba, R L T Goris, E P Simoncelli and J A Movshon. Annual Meeting, Vision Sciences Society, vol.17 May 2017.
Abstract

    Dynamic visual localization with moving dot clouds
S M Locke, M S Landy, P Mamassian and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.17 May 2017.
Abstract

    Predicting perceptual distortion sensitivity with gain control models of LGN
A Berardino, V Laparra, Johannes Ballé and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.17 May 2017.
Abstract

    Perceptual straightening of natural video trajectories
O J Hénaff, R L T Goris and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.17 May 2017.
Abstract

    End-to-end optimized image compression
J Ballé, V Laparra and E P Simoncelli. Int'l Conf on Learning Representations (ICLR), Apr 2017.
Abstract | PDF

    Dissociation of choice formation and choice-correlated activity in macaque visual cortex
R L T Goris, C M Ziemba, G M Stine, E P Simoncelli and J A Movshon. J. Neuroscience, Apr 2017.
Abstract | PDF

    Model-based inference of nonlinear subunits underlying responses of primate retinal ganglion cells
N Shah, N Brackbill, C Rhoades, A Tikidji-Hamburyan, G Goetz, A Sher, A Litke, L Paninski, E P Simoncelli and EJ Chichilnisky. Computational and Systems Neuroscience (CoSyNe), Feb 2017.
Abstract

    Visibility of eigen-distortions of hierarchical models
A Berardino, V Laparra, J Ballé and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Feb 2017.
Abstract

    Three-dimensional spatiotemporal receptive field structure in macaque area MT
A Zaharia, R Goris, J A Movshon and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Feb 2017.
Abstract

    Slow gain fluctuations limit temporal integration in visual cortex
R Goris, C M Ziemba, J A Movshon and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Feb 2017.
Abstract

    Perceptually optimized image rendering
V Laparra, J Ballé, A Berardino and E P Simoncelli. arXiv.org e-prints, Technical Report 1701.06641, Jan 2017.
Abstract | PDF

    End-to-end optimization of nonlinear transform codes for perceptual quality
J Ballé, V Laparra and E P Simoncelli. Proc. 32nd Picture Coding Symposium, Dec 2016.
Abstract | PDF

    The origins of spatial frequency tuning in macaque visual cortex
P G Levy, C M Ziemba, J A Movshon, E P Simoncelli and R L T Goris. Annual Meeting, Neuroscience, Nov 2016.
Abstract

    Opposing effects of summary statistics on peripheral discrimination
C M Ziemba and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2016.
Abstract

    Perceptual untangling of natural image sequences
O J Hénaff, R L T Goris and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2016.
Abstract

    Neural quadratic discriminant analysis: Nonlinear decoding with V1-like computation
M Pagan, E P Simoncelli and N C Rust. Neural Computation, vol.28 pp. 2291--2319, Oct 2016.
Abstract | PDF

    Neural computation of visual motion in macaque area MT
Andrew D Zaharia. PhD thesis, ,
Sep 2016.
Abstract | PDF

    End-to-end optimization of nonlinar transform codes for perceptual quality
J Ballé, V Laparra and E P Simoncelli. arXiv.org e-prints, Technical Report 1607.05006, Jul 2016.
Abstract | PDF

    Model-based identification of retinal ganglion cell subunits
N P Shah, N Brackbill, A Tikidji-Hamburyan, C Rhoades, G Goetz, A Sher, A M Litke, L Paninski, E P Simoncelli and EJ Chichilnisky. Investigative Opthalmology and Visual Science Supplement (ARVO), May 2016.
Abstract

    Density modeling of images using a generalized normalization transformation
J Ballé, V Laparra and E P Simoncelli. Int'l Conf on Learning Representations (ICLR), May 2016.
Abstract | PDF

    Geodesics of learned representations
O J Hénaff and E P Simoncelli. Int'l Conf on Learning Representations (ICLR), May 2016.
Abstract | PDF

    Neural representation and perception of naturalistic image structure
Corey M Ziemba. PhD thesis, ,
May 2016.
Abstract | PDF

    Selectivity and tolerance for visual texture in macaque V2
C M Ziemba, J Freeman, J A Movshon and E P Simoncelli. Proc. Nat'l Academy of Sciences, vol.113(22), pp. E3140-E3149, May 2016.
Abstract | PDF

    Neural and perceptual signatures of efficient sensory coding
D Ganguli and E P Simoncelli. arXiv.org e-prints, Technical Report 1603.00058, Feb 2016.
Abstract | PDF

    Emergence of neuronal signals supporting naturalistic texture discrimination
C M Ziemba, R L T Goris, G M Stine, E P Simoncelli and J A Movshon. Computational and Systems Neuroscience (CoSyNe), Feb 2016.
Abstract

    Perceptual distortion measured with a gain control model of LGN response
A Berardino, V Laparra, J Ballé and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Feb 2016.
Abstract

    Perceptual evaluation of artificial visual recognition systems using geodesics
O J Hénaff, R L T Goris and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Feb 2016.
Abstract

    Perceptual image quality assessment using a normalized Laplacian pyramid
V Laparra, J Ballé, A Berardino and E P Simoncelli. Proc. IS&T Int'l Symposium on Electronic Imaging, Conf on Human Vision and Electronic Imaging (HVEI), (16), pp. 1--6, Feb 2016.
Abstract | PDF

    Direct estimation of firing rates from calcium imaging data
E Ganmor, M Krumin, L F Rossi, M Carandini and E P Simoncelli. arXiv.org e-prints, Technical Report 1601.00364, Jan 2016.
Abstract | PDF

    Near-optimal integration of orientation information across saccades
E Ganmor, M S Landy and E P Simoncelli. Journal of Vision, vol.15(16.8), pp. 1--12, Dec 2015.
Abstract | PDF

    Geodesics of learned representations
O Hénaff and E P Simoncelli. arXiv.org e-prints, Technical Report 1511.06394, Nov 2015.
Abstract | PDF

    Origin and function of tuning diversity in macaque visual cortex
R L Goris, E P Simoncelli and J A Movshon. Neuron, vol.88 pp. 819--831, Nov 2015.
Abstract | PDF

    A convolutional subunit model for neuronal responses in macaque V1
B Vintch, J A Movshon and E P Simoncelli. J Neurosci, vol.35 pp. 14829--14841, Nov 2015.
Abstract | PDF

    Attention stabilizes the shared gain of V4 populations
N C Rabinowitz, R L Goris, M Cohen and E P Simoncelli. eLife, vol.4:e08998 Nov 2015.
Abstract | PDF

    Long-lasting recalibration to auditory listening conditions
N Rabinowitz, M Schemitsch, O Brimijoin and E P Simoncelli. Annual Meeting, Neuroscience, Oct 2015.
Abstract

    The neural basis of fine orientation discrimination in macaque monkeys
R L Goris, C M Ziemba, G M Stine, E P Simoncelli and J A Movshon. Annual Meeting, Neuroscience, Oct 2015.
Abstract

    Neuronal signals supporting naturalistic texture discrimination
C M Ziemba, R L T Goris, E P Simoncelli and J A Movshon. Annual Meeting, Neuroscience, Oct 2015.
Abstract

    Mapping nonlinear receptive field subunits in primate retina at single cone resolution
J Freeman, G D Field, P H Li, M Greschner, D H Gunning, K Mathieson, A Sher, A M Litke, L Paninski, E P Simoncelli and E J Chichilnisky. eLife, vol.4:e05241 Oct 2015.
Abstract | PDF

    A model of sensory neural responses in the presence of unknown modulatory inputs
NC Rabinowitz, RLT Goris, J Ballé and E P Simoncelli. arXiv.org e-prints, Technical Report 1507.01497, Jul 2015.
Abstract | PDF

    Near-optimal integration of orientation information across saccadic eye movements
E Ganmor, M Landy and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.15 May 2015.
Abstract

    Opposing effects of summary statistics for peripheral discrimination
C M Ziemba and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.15 May 2015.
Abstract

    The texture centroid paradigm: A new method for isolating preattentive visual mechanisms
C Chubb, M S Landy, Z Westrick and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.15 May 2015.
Abstract

    Compound stimuli reveal velocity separability of spatiotemporal receptive fields in macaque area MT
A D Zaharia, R L T Goris, J A Movshon and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.15 May 2015.
Abstract

    Characterizing receptive field selectivity in Area V2
C M Ziemba, R L T Goris, J A Movshon and E P Simoncelli. Workshop on Computational and Mathematical Models in Vision (ModVis), Vision Sciences Society, May 2015.
Abstract | PDF

    The local low-dimensionality of natural images
O J Hénaff, N Rabinowitz, J Ballé and E P Simoncelli. Int'l Conf on Learning Representations (ICLR), May 2015.
Abstract | PDF

    Representation of naturalistic image structure in the primate visual cortex
J A Movshon and E P Simoncelli. Cold Spring Harbor Symposia on Quantitative Biology: Cognition, May 2015.
Abstract | PDF

    Modulators of V4 population activity under attention
N Rabinowitz, R Goris, M Cohen and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2015.
Abstract

    Geometrical and statistical properties of vision models obtained via maximum differentiation
J Malo and E P Simoncelli. Proc SPIE Conf on Human Vision and Electronic Imaging (HVEI XX), vol.9394 Feb 2015.
Abstract | PDF

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    Representing "stuff" in visual cortex
C M Ziemba and J Freeman. , pages 942--943. , Jan 2015.
Abstract

    Separability of spatiotemporal receptive field structure in macaque area MT
A D Zaharia, R L T Goris, J A Movshon and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2014.
Abstract

    On the diversity of orientation selectivity in macaque visual cortex
R L Goris, E P Simoncelli and J A Movshon. Optical Society Vision Meeting, Oct 2014.
Abstract

    A generalization of the Energy model explains the transformation from IT to Perirhinal cortex
M Pagan, E P Simoncelli and N C Rust. Optical Society Vision Meeting, Oct 2014.
Abstract

    Learning sparse filterbank transforms with convolutional ICA
J Ballé and E P Simoncelli. Proc 21st IEEE Int'l Conf on Image Proc (ICIP), pp. 4013--4017, Oct 2014.
Recipient, top 10% paper award.
Abstract | PDF

    Efficient sensory encoding and Bayesian inference with heterogeneous neural populations
D Ganguli and E P Simoncelli. Neural Computation, vol.26(10), pp. 2103--2134, Oct 2014.
Abstract | PDF

    Partitioning neuronal variability
R L Goris, J A Movshon and E P Simoncelli. Nature Neuroscience, vol.17(6), pp. 858--865, Jun 2014.
Abstract | PDF

    Not all distortions are created equally: The visibility of image artifacts with application to image quality
E H Norton, M S Landy and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.56.409 May 2014.
Abstract

    Carving up the ventral stream with controlled naturalistic stimuli
J Freeman, C M Ziemba, J A Movshon and E P Simoncelli. Annual Meeting, Vision Sciences Society, May 2014.
Abstract

    Metamers of the Early Visual System
Weihan Kong. MS thesis, ,
May 2014.
Abstract | PDF

    Making sound features disappear
N Rabinowitz, M Schemitsch, O Brimijoin and E P Simoncelli. 37th MidWinter Meeting, Association for Research in Otolaryngology (ARO), vol.37 pp. 87-88, Feb 2014.
Abstract

    Maximum Variance Differentiation (MVD) explains the transformation from IT to Perirhinal cortex
M Pagan, E P Simoncelli and N C Rust. Computational and Systems Neuroscience (CoSyNe), (II-21), Feb 2014.
Abstract

    Modeling neural responses in the presence of unknown modulatory inputs
N Rabinowitz, R Goris, J Ballé and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (I-79), Feb 2014.
Abstract

    A unified framework and method for automatic neural spike identification
C Ekanadham, D Tranchina and E P Simoncelli. J. Neuroscience Methods, vol.222 pp. 47--55, Jan 2014.
Abstract | PDF

    Response variability of visual cortical neurons explained by a modulated Poisson model
R L Goris, J A Movshon and E P Simoncelli. Annual Meeting, Neuroscience, (311.01), Nov 2013.
Abstract

    Functionally partitioning the ventral stream with controlled natural stimuli
J Freeman, C M Ziemba, E P Simoncelli and J A Movshon. Annual Meeting, Neuroscience, (406.01), Nov 2013.
Abstract

    Size dependence of sensitivity to naturalistic stimuli in macaque V2
C M Ziemba, J Freeman, E P Simoncelli and J A Movshon. Annual Meeting, Neuroscience, (602.03), Nov 2013.
Abstract

    A functional and perceptual signature of the second visual area in primates
J Freeman, C M Ziemba, D J Heeger, E P Simoncelli and J A Movshon. Nature Neuroscience, vol.16(7), pp. 974--981, Jul 2013.
Abstract | PDF

    The radial and tangential extent of spatial metamers
J Freeman and E P Simoncelli. Annual Meeting, Vision Sciences Society, May 2013.
Abstract

    Structured hierarchical models for neurons in the early visual system
Brett Vintch. PhD thesis, ,
May 2013.
Abstract | PDF

    A model-based spike sorting algorithm for reducing correlation artifacts in multi-neuron recordings
J Pillow, J Shlens, EJ Chichilnisky and E P Simoncelli. PLoS One, vol.8(5), May 2013.
Abstract | PDF

    Summary statistics in auditory perception
J H McDermott, M Schemitsch and E P Simoncelli. Nature Neuroscience, vol.16(4), pp. 493--498, Apr 2013.
Abstract | PDF

    Spatial structure and organization of nonlinear subunits in primate retina
J Freeman, G Field, P Li, M Greschner, L Jepson, N Rabinowitz, E Pnevmatikakis, D Gunning, K Mathieson, A Litke, E J Chichilnisky and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (I-78), Feb 2013.
Abstract

    Modeling cortical responses to mixture stimuli reveals origins of orientation tuning variation
R Goris, E P Simoncelli and J A Movshon. Computational and Systems Neuroscience (CoSyNe), (II-85), Feb 2013.
Abstract

    Evidence for time-averaged summary statistics in auditory perception
J H McDermott and E P Simoncelli. International Symposium on Hearing, 2012.
Abstract

    Efficient and direct estimation of a neural subunit model for sensory coding
B Vintch, A Zaharia, J A Movshon and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*12), vol.25 pp. 3104--3112, Dec 2012.
Abstract | PDF

    Hierarchical spike coding of sound
Y Karklin, C Ekanadham and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*12), vol.25 pp. 3041--3049, Dec 2012.
Abstract | PDF

    Computation and representation in the primate visual system
Jeremy Freeman. PhD thesis, ,
Nov 2012.
Abstract | PDF

    Efficient coding of spatial information in the primate retina
E Doi, J Gauthier, G Field, J Shlens, A Sher, M Greschner, T Machado, L Jepson, K Mathieson, D Gunning, A Litke, L Paninski, EJ Chichilnisky and E P Simoncelli. J. Neuroscience , vol.32(46), pp. 16256--16264, Nov 2012.
Abstract | PDF

    Separable dimensions for motion selectivity in macaque MT neurons
R Goris, J A Movshon and E P Simoncelli. Annual Meeting, Neuroscience, Oct 2012.
Abstract

    Linking visual perception and V2 physiology by crowdsourcing psychophysics
C M Ziemba, J Freeman, E P Simoncelli and J A Movshon. Annual Meeting, Neuroscience, Oct 2012.
Abstract

    Characterizing the nonlinear subunits of primate retinal ganglion cells
J Freeman, G D Field, P H Li, M Greschner, L H Jepson, N C Rabinowitz, E Pnevmatikakis, D E Gunning, K Mathieson, A M Litke, E J Chichilnisky, L Paninski and E P Simoncelli. Annual Meeting, Neuroscience, Oct 2012.
Abstract

    Subunit models economically explain neuronal responses in macaque V1
B Vintch, A D Zaharia, J A Movshon and E P Simoncelli. Annual Meeting, Neuroscience, Oct 2012.
Abstract

    Implicit embedding of prior probabilities in optimally efficient neural populations
D Ganguli and E P Simoncelli. arXiv.org e-prints, Technical Report 1209.5006, Sep 2012.
Abstract | PDF

    Continuous basis pursuit and its applications
Chaitanya Ekanadham. PhD thesis, ,
Sep 2012.
Abstract | PDF

    Efficient coding and Bayesian inference with neural populations
Deep Ganguli. PhD thesis, ,
Sep 2012.
Abstract | PDF

    Modeling the impact of common noise inputs on the network activity of retinal ganglion cells
M Vidne, Y Ahmadian, J Shlens, J W Pillow, J Kulkarni, A M Litke, E J Chichilnisky, E P Simoncelli and L Paninski. J. Computational Neuroscience, vol.33(1), pp. 97--121, Aug 2012.
Abstract | PDF

    Linking physiology and perception in V2
J Freeman, C M Ziemba, J A Movshon and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (T-41), Feb 2012.
Abstract

    Neural implementation of Bayesian inference using efficient population codes
D Ganguli and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-9), Feb 2012.
Abstract

    Using a doubly-stochastic model to analyze neuronal activity in the visual cortex
R Goris, E P Simoncelli and J A Movshon. Computational and Systems Neuroscience (CoSyNe), (I-37), Feb 2012.
Abstract

    Selectivity and invariance are greater in macaque V2 than V1
C M Ziemba, J Freeman, J A Movshon and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-91), Feb 2012.
Abstract

    Efficient coding of natural images and movies with populations of noisy nonlinear neurons
Y Karklin and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-1), Feb 2012.
Abstract

    Summary statistics in auditory perception
J H McDermott and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (I-77), Feb 2012.
Abstract

    Fitting receptive fields in V1 and V2 as linear combinations of nonlinear subunits
B Vintch, A Zaharia, J A Movshon and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (III-36), Feb 2012.
Abstract

    Efficient coding of natural images with a population of noisy linear-nonlinear neurons
Y Karklin and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*11), vol.24 pp. 999--1007, Dec 2011.
Abstract | PDF

    A blind sparse deconvolution method for neural spike identification
C Ekanadham, D Tranchina and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*11), vol.24 pp. 1440--1448, Dec 2011.
Abstract | PDF

    Using metameric stimuli to test a model of neural populations in V2
J Freeman and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2011.
Abstract

    A spatial subunit model for V2 receptive fields reveals heterogeneous receptive field structure
B Vintch, E P Simoncelli and J A Movshon. Annual Meeting, Neuroscience, Nov 2011.
Abstract

    Differential encoding of naturalistic texture properties by neurons in macaque V1 and V2
CM Ziemba, J Freeman, J A Movshon and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2011.
Abstract

    Recovery of sparse translation-invariant signals with continuous basis pursuit
C Ekanadham, D Tranchina and E P Simoncelli. IEEE Trans. Signal Processing, vol.59(10), pp. 4735--4744, Oct 2011.
Abstract | PDF

    Sound texture perception via statistics of the auditory periphery: Evidence from sound synthesis
J H McDermott and E P Simoncelli. Neuron, vol.71(5), pp. 926--940, Sep 2011.
Abstract | PDF

    Metamers of the ventral stream
J Freeman and E P Simoncelli. Nature Neuroscience, vol.14(9), pp. 1195--1201, Sep 2011.
Abstract | PDF

    Cardinal rules: Visual orientation perception reflects knowledge of environmental statistics
A R Girshick, M S Landy and E P Simoncelli. Nature Neuroscience, vol.14(7), pp. 926--932, Jul 2011.
Abstract | PDF

    Sparse decomposition of transformation-invariant signals with continuous basis pursuit
C Ekanadham, D Tranchina and E P Simoncelli. Proc. Int'l Conf Acoustics Speech Signal Processing (ICASSP), pp. 4060--4063, May 2011.
Abstract | PDF

    Optimal inference explains the perceptual coherence of visual motion stimuli
J H Hedges, A A Stocker and E P Simoncelli. Journal of Vision, vol.11(6), May 2011.
Abstract | PDF

    Sound texture perception via statistics of peripheral auditory representations
J H McDermott and E P Simoncelli. 34th midWinter Meeting, Assoc. for Research in Otolaryngology, Feb 2011 .
Abstract

    Empirical Derivation of Acoustic Grouping Cues from Natural Sound Statistics
J H McDermott, D P W Ellis and E P Simoncelli. 34th midWinter Meeting, Assoc. for Research in Otolaryngology, Feb 2011 .
Abstract

    Redundant representations in macaque retinal populations are consistent with efficient coding
E Doi, J L Gauthier, G D Field, J Shlens, A Sher, M Greschner, T Machado, K Mathieson, D Gunning, A M Litke, L Paninski, E J Chichilnisky and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-71), Feb 2011.
Abstract

    Do humans use Occam's Razor when learning probability distributions?
J Freeman, D Ganguli and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-14), Feb 2011.
Abstract

    Sound texture perception via statistics of peripheral auditory representations
J H McDermott and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (III-95), Feb 2011.
Abstract

    Optimal information transfer in a noisy nonlinear neuron
Y Karklin and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (III-73), Feb 2011.
Abstract

    Neural spike identification with continuous basis pursuit
C Ekanadham, D Tranchina and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (III-27), Feb 2011.
Abstract

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    Unwrapping the ventral stream
J Freeman and C M Ziemba. , vol.31(7), pp. 2349--2351, Feb 2011.
Abstract

    Least squares estimation without priors or supervision
M Raphan and E P Simoncelli. Neural Computation, vol.23(2), pp. 374--420, Feb 2011.
Abstract | PDF

    Implicit encoding of prior probabilities in optimal neural populations
D Ganguli and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*10), vol.23 pp. 658--666, Dec 2010. Presented at NIPS, Dec 2010.
Abstract | PDF

    Characterizing receptive field structure of macaque V2 neurons in terms of their V1 afferents
B Vintch, J A Movshon and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2010.
Abstract

    An empirical Bayesian interpretation and generalization of NL-means
M Raphan and E P Simoncelli. Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2010-934, Oct 2010.
Abstract | PDF

    A common-input model of a complete network of ganglion cells in the primate retina
M Vidne, Y Ahmadian, J Shlens, J W Pillow, J Kulkarni, E P Simoncelli, EJ Chichilnisky, L Paninski. Proc. AREADNE: Research in Encoding And Decoding of Neural Ensembles, Jun 2010.
Abstract

    Capturing adaptation properties of retinal ganglion cell responses with a generalized linear model
C Ekanadham, J Shlens, L Jepson, A M Litke, D Tranchina, L Paninski, EJ Chichilnisky and E P Simoncelli. Proc. AREADNE: Research in Encoding And Decoding of Neural Ensembles, Jun 2010.
Abstract | PDF

    Crowding and metamerism in the ventral stream
J Freeman and E P Simoncelli. 10th Annual Meeting, Vision Sciences Society, May 2010.
Abstract

    Orientation statistics at fixation
D Ganguli, J Freeman, U Rajashekar and E P Simoncelli. 10th Annual Meeting, Vision Sciences Society, May 2010.
Abstract

    Linking statistical texture models to population coding in the ventral stream
J Freeman, L E Hallum, M S Landy, D J Heeger and E P Simoncelli. 10th Annual Meeting, Vision Sciences Society, May 2010.
Abstract

    Metamers of the ventral stream
J Freeman and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (T-28), Feb 2010.
Abstract

    Representation of environmental statistics by neural populations
D Ganguli and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (III-56), Feb 2010.
Abstract

    Testing efficient coding: Projective (not receptive) fields are the key theoretical prediction
E Doi, G Field, J Gauthier, A Sher, M Greschner, J Shlens, T Machado, L Paninski, D Gunning, K Mathieson and A Litke, E J Chichilnisky and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-63), Feb 2010.
Abstract

    Sound texture perception via synthesis
J H McDermott, A Oxenham and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (I-74), Feb 2010.
Abstract

    Bayesian line orientation perception: Human prior expectations match natural image statistics
A R Girshick, M S Landy and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-33), Feb 2010.
Abstract

    Diversity of efficient coding solutions for a population of noisy linear neurons
E Doi, L Paninski and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (I-66), Feb 2010.
Abstract

    Decoding stimulus velocity from population responses in area MT of the macaque
A A Stocker, N Majaj, C Tailby, J A Movshon and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-73), Feb 2010.
Abstract

    A common-input model of a complete network of ganglion cells in the primate retina
M Vidne, Y Ahmadian, J Shlens, J Pillow, J W Kulkarni, E P Simoncelli, E J Chichilnisky and L Paninski. Computational and Systems Neuroscience (CoSyNe), (II-24), Feb 2010.
Abstract

    Perceptual quality assessment of color images using adaptive signal representation
U Rajashekar, Z Wang and E P Simoncelli. Proc SPIE Conf on Human Vision and Electronic Imaging, XV, vol.7527 Jan 2010.
Abstract | PDF

    Hierarchical modeling of local image features through $L_p$-nested symmetric distributions
F Sinz, E P Simoncelli and M Bethge. Adv. Neural Information Processing Systems (NIPS*09), vol.22 pp. 1696--1704, Dec 2009.
Abstract | PDF

    Is the homunculus 'aware' of sensory adaptation?
P Seriès, A A Stocker and E P Simoncelli. Neural Computation, vol.21(12), pp. 3271--3304, Dec 2009.
Abstract | PDF

    Quantifying color image distortions based on adaptive spatio-chromatic signal decompositions
U Rajashekar, Z Wang and E P Simoncelli. Proc 16th IEEE Int'l Conf on Image Proc (ICIP), pp. 2213--2216, Nov 2009.
Abstract | PDF

    A general methodology for estimating multiple spike trains from multi-electrode recordings
J W Pillow, J Shlens, E J Chichilnisky and E P Simoncelli. Annual Meeting, Neuroscience, Oct 2009.
Abstract

    Sound texture synthesis via filter statistics
J H McDermott, A J Oxenham and E P Simoncelli. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA-09), pp. 297--300, Oct 2009.
Abstract | PDF

    Optimal estimation in sensory systems
E P Simoncelli. The Cognitive Neurosciences, IV, pages 525--535. MIT Press, Oct 2009.
Abstract | PDF

    The representation and perception of visual motion: To integrate or not to integrate
James H. Hedges. PhD thesis, ,
Sep 2009.
Abstract | PDF

    Learning least squares estimators without assumed priors or supervision
M Raphan and E P Simoncelli. Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2009-923, Aug 2009.
Abstract | PDF

    Visual motion aftereffects arise from a cascade of two isomorphic adaptation mechanisms
A A Stocker and E P Simoncelli. Journal of Vision, vol.9(9), pp. 1--14, Aug 2009.
Abstract | PDF

    Multiscale denoising of photographic images
U Rajashekar and E P Simoncelli. The Essential Guide to Image Processing, pages 241--261. Academic Press, Jul 2009.
Abstract | PDF

    Capturing visual image properties with probabilistic models
E P Simoncelli. The Essential Guide to Image Processing, pages 205--223. Academic Press, Jul 2009.
Abstract | PDF

    Nonlinear extraction of 'Independent Components' of natural images using radial Gaussianization
S Lyu and E P Simoncelli. Neural Computation, vol.21(6), pp. 1485--1519, Jun 2009.
Abstract | PDF

    Prior expectations in line orientation perception
A R Girshick, E P Simoncelli and M S Landy. 9th Annual Meeting, Vision Sciences Society, May 2009.
Abstract

    Decoding velocity from population responses in area MT of the macaque
A A Stocker, N Majaj, C Tailby, J A Movshon and E P Simoncelli. 9th Annual Meeting, Vision Sciences Society, May 2009.
Abstract

    Reducing statistical dependencies in natural signals using radial Gaussianization
S Lyu and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*08), vol.21 pp. 1009--1016, May 2009. Presented at NIPS, Dec 2008.
Abstract | PDF

    Modeling multiscale subbands of photographic images with fields of Gaussian scale mixtures
S Lyu and E P Simoncelli. IEEE Trans. Pattern Analysis and Machine Intelligence, vol.31(4), pp. 693--706, Apr 2009.
Abstract | PDF

    Decoding of stimulus velocity using a model of ganglion cell populations in primate retina
E Lalor, Y Ahmadian, L Paninski and E Simoncelli. Computational and Systems Neuroscience (CoSyNe), (I-63), Feb 2009.
Abstract

    A decoder-based spike train metric for analyzing the neural code in the retina
Y Ahmadian, J Pillow, J Shlens, E P Simoncelli, E J Chichilnisky and L Paninski. Computational and Systems Neuroscience (CoSyNe), (I-65), Feb 2009.
Abstract

    Inferring functional connectivity in an ensemble of retinal ganglion cells sharing a common input
M Vidne, J Kulkarni, Y Ahmadian, J Pillow, J Shlens, E J Chichilnisky, E P Simoncelli and L Paninski. Computational and Systems Neuroscience (CoSyNe), Feb 2009.
Abstract

    Analyzing the neural code in the primate retina using efficient model-based decoding techniques
Y Ahmadian, J Pillow , J E Kulkarni, J Shlens, E P Simoncelli, E J Chichilnisky and L Paninski. Annual Meeting, Neuroscience, Nov 2008.
Abstract

    Efficient coding is consistent with the irregular shapes of retinal ganglion cell receptive fields
E Doi, J Gauthier, GD Field, A Sher, J Shlens, M Greschner, K Mathieson, D Gunning, A M Litke, L Paninski, EJ Chichilnisky and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2008.
Abstract

    Image modeling and denoising with orientation-adapted Gaussian scale mixtures
D K Hammond and E P Simoncelli. IEEE Trans. Image Processing, vol.17(11), pp. 2089--2101, Nov 2008.
Abstract | PDF

    Image denoising using mixtures of Gaussian scale mixtures
J A Guerrero-Colón, E P Simoncelli and J Portilla. Proc 15th IEEE Int'l Conf on Image Proc (ICIP), pp. 565--568, Oct 2008.
Abstract | PDF

    Maximum differentiation (MAD) competition: A methodology for comparing computational models of perceptual discriminability
Z Wang and E P Simoncelli. Journal of Vision, vol.8(12), pp. 1--13, Sep 2008.
Abstract | PDF

    Optimal denoising in redundant representations
M Raphan and E P Simoncelli. IEEE Trans. Image Processing, vol.17(8), pp. 1342--1352, Aug 2008.
Abstract | PDF

    Spatio-temporal correlations and visual signaling in a complete neuronal population
J W Pillow, J Shlens, L Paninski, A Sher, A M Litke, E J Chichilnisky and E P Simoncelli. Nature, vol.454(7206), pp. 995--999, Aug 2008.
Abstract | PDF

    Nonlinear image representation using divisive normalization
S Lyu and E P Simoncelli. Proc. Computer Vision and Pattern Recognition, pp. 1--8, Jun 2008.
Abstract | PDF

    A model of self-consistent perception
A A Stocker and E P Simoncelli. 8th Annual Meeting, Vision Sciences Society, May 2008.
Abstract

    A Bayesian model of conditioned perception
A A Stocker and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*07), vol.20 pp. 1409--1416, May 2008.
Abstract | PDF

    Nonlinear extraction of 'Independent Components' of elliptically symmetric densities using radial Gaussianization
S Lyu and E P Simoncelli. Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2008-911, Apr 2008.
Abstract | PDF

    Contextually adaptive signal representation using conditional principal component analysis
R M Figueras i Ventura, U Rajashekar, Z Wang and E P Simoncelli. Proc. Int'l Conf Acoustics Speech Signal Processing (ICASSP), pp. 877--880, Mar 2008.
Abstract | PDF

    Maximizing sensory information with neural populations of arbitrary size
E Doi, L Paninski and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (III-36), Feb 2008.
Abstract

    The perceptual interpretation of a moving square-wave plaid is speed-dependent
J H Hedges, A A Stocker and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (I-13), Feb 2008.
Abstract

    The effects of correlated neural activity on single-neuron spiking variability in the primate retina
J W Pillow, J Shlens, L Paninski, A Sher, A M Litke, E J Chichilnisky and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (I-34), Feb 2008.
Abstract

    A model of self-consistent perception
A A Stocker and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-71), Feb 2008.
Abstract

    Is the homunculus 'aware' of sensory adaptation?
P Seriès, A A Stocker and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (III-38), Feb 2008.
Abstract

    Detecting simultaneous spikes in multi-neuron recordings using a generative model of electrode data
J Pillow, C Bakolitsa, E J Chichilnisky and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (I-92), Feb 2008.
Abstract

    Sound texture perception via synthesis
J H McDermott, E P Simoncelli and A J Oxenham. Annual Meeting, ARO, Feb 2008.
Abstract

    Correlations and coding with multi-neuronal spike trains in primate retina
J W Pillow, J Shlens, L Paninski, A Sher, A M Litke, E J Chichilnisky and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2007.
Abstract

    A machine learning framework for adaptive combination of signal denoising methods
D Hammond and E P Simoncelli. Proc 14th IEEE Int'l Conf on Image Proc (ICIP), vol.VI pp. 29--32, Sep 2007.
Abstract | PDF

    Statistically driven sparse image approximation
R M Figueras i Ventura and E P Simoncelli. Proc 14th IEEE Int'l Conf on Image Proc (ICIP), vol.I pp. 461--464, Sep 2007.
Abstract | PDF

    Optimal denoising in redundant bases
M Raphan and E P Simoncelli. Proc 14th IEEE Int'l Conf on Image Proc (ICIP), vol.III pp. 113--116, Sep 2007.
Winner, IBM student paper award.
Abstract | PDF

    Representing and modeling images with multiscale local orientation
David K. Hammond. PhD thesis, ,
Jul 2007.
Abstract | PDF

    Empirical Bayes least squares estimation without an explicit prior
M Raphan and E P Simoncelli. Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2007-900, May 2007.
Abstract | PDF

    Adaptation to transparent plaids: Two repulsive directions or one?
J Hedges and E P Simoncelli. 7th Annual Meeting, Vision Sciences Society, May 2007.
Abstract

    Characterizing changes in perceived speed and speed discriminability arising from motion adaptation
A A Stocker and E P Simoncelli. 7th Annual Meeting, Vision Sciences Society, May 2007.
Abstract

    Statistical modeling of images with fields of Gaussian scale mixtures
S Lyu and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*06), vol.19 pp. 945--952, May 2007.
Abstract | PDF

    Learning to be Bayesian without supervision
M Raphan and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*06), vol.19 pp. 1145--1152, May 2007.
Abstract | PDF

    Optimal estimation: Prior free methods and physiological application
Martin Raphan. PhD thesis, ,
May 2007.
Recipient, 2008 K. O. Friedrichs prize for an outstanding dissertation in mathematics.
Abstract | PDF

    Deciphering correlations: Bayesian decoding of multi-neuronal spike trains in primate retina
J Pillow, J Shlens, L Paninski, A Sher, A Litke, EJ Chichilnisky and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-77), Mar 2007.
Abstract

    The effect of contrast on velocity encoding in macaque area MT
N Majaj, A Stocker, C Tailby, J A Movshon and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (I-50), Mar 2007.
Abstract

    Statistically and perceptually motivated nonlinear image representation
S Lyu and E P Simoncelli. Proc. SPIE, Conf. on Human Vision and Electronic Imaging, XII, vol.6492 pp. 67--91, Jan 2007.
Abstract | PDF

    How MT cells analyze the motion of visual patterns
N C Rust, V Mante, E P Simoncelli and J A Movshon . Nature Neuroscience, vol.9(11), pp. 1421--1431, Nov 2006.
Abstract | PDF

    Toward characterization of the complete visual signal in a patch of retina
E P Simoncelli, J W Pillow, J Shlens, L Paninski and E J Chichilnisky. Fall Vision Meeting, Optical Society of America, Oct 2006.
Abstract

    Image denoising with an orientation-adaptive Gaussian scale mixture model
D K Hammond and E P Simoncelli. Proc 13th IEEE Int'l Conf on Image Proc (ICIP), pp. 1433--1436, Oct 2006.
Abstract | PDF

    How MT cells analyze the motion of visual patterns
J A Movshon, N C Rust, V Mante and E P Simoncelli. European Conf on Visual Perception, Aug 2006.
Abstract

    Spike-triggered neural characterization
O Schwartz, J W Pillow, N C Rust and E P Simoncelli. Journal of Vision, vol.6(4), pp. 484--507, Jul 2006.
Abstract | PDF

    Quality-aware images
Z Wang, G Wu, H R Sheikh, E P Simoncelli, E Yang and A C Bovik. IEEE Trans. Image Processing, vol.15(6), pp. 1680--1689, Jun 2006.
Abstract | PDF

    Empirical Bayes least squares estimation without an explicit prior
M Raphan and E P Simoncelli. SIAM Conf. on Imaging Science, May 2006.
Abstract

    An orientation-adaptive Gaussian scale mixture model for image denoising
D K Hammond and E P Simoncelli. SIAM Conf. on Imaging Science, May 2006.
Abstract

    Sensory adaptation within a Bayesian framework for perception
A A Stocker and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*05), vol.18 pp. 1291--1298, May 2006.
Abstract | PDF

    Dimensionality reduction in neural models: An information-theoretic generalization of spike-triggered average and covariance analysis
J W Pillow and E P Simoncelli. Journal of Vision, vol.6(4), pp. 414--428, May 2006.
Abstract | PDF

    Noise characteristics and prior expectations in human visual speed perception
A A Stocker and E P Simoncelli. Nature Neuroscience, vol.9(4), pp. 578--585, Apr 2006.
Abstract | PDF

    An information-theoretic generalization of spike-triggered average and covariance analysis
J W Pillow and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-153), Mar 2006.
Abstract

    Adaptation within a Bayesian framework for perception
A A Stocker and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (II-236), Mar 2006.
Abstract

    Non-linear image representation for efficient perceptual coding
J Malo, I Epifanio, R Navarro and E P Simoncelli. IEEE Trans. Image Processing, vol.15(1), pp. 68--80, Jan 2006.
Abstract | PDF

    Modeling the correlated spike responses of a cluster of primate retinal ganglion cells
J W Pillow, J Shlens, L Paninski, E J Chichilnisky and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2005.
Abstract

    How macaque MT cells compute pattern motion
N Rust, E P Simoncelli and J A Movshon. Annual Meeting, Neuroscience, Nov 2005.
Abstract

    Prediction and decoding of retinal responses with a probabilistic spiking model
J W Pillow, L Paninski, V J Uzell, E P Simoncelli and E J Chichilnisky. J. Neuroscience, vol.25(47), pp. 11003--11013, Nov 2005.
Abstract | PDF

    Nonlinear image representation via local multiscale orientation
D K Hammond and E P Simoncelli. Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2005-875, Sep 2005.
Abstract | PDF

    Locally adaptive multiscale contrast optimization
N Bonnier and E P Simoncelli. Proc 12th IEEE Int'l Conf on Image Proc (ICIP), vol.I pp. 949--952, Sep 2005.
Abstract | PDF

    An adaptive linear system framework for image distortion analysis
Z Wang and E P Simoncelli. Proc 12th IEEE Int'l Conf on Image Proc (ICIP), vol.III pp. 1160--1163, Sep 2005.
Abstract | PDF

    Comparing integrate-and-fire-like models given intracellular and extracellular data
L Paninski, J W Pillow and E P Simoncelli. Neurocomputing, vol.65--66 pp. 379--385, Jun 2005.
Abstract | PDF

    Spatiotemporal elements of macaque V1 receptive fields
N C Rust, O Schwartz, J A Movshon and E P Simoncelli. Neuron, vol.46(6), pp. 945--956, Jun 2005.
Abstract | PDF

    Neurons in MT compute pattern direction by pooling excitatory and suppressive inputs
N C Rust, E P Simoncelli and J A Movshon. 5th Annual Meeting, Vision Sciences Society, May 2005.
Abstract

    Maximum differentiation competition: A methodology for comparing quantitative models of perceptual discriminability
Z Wang and E P Simoncelli. 5th Annual Meeting, Vision Sciences Society, May 2005.
Abstract

    Constraining the prior and likelihood in a Bayesian model of human visual speed perception
A A Stocker and E P Simoncelli. 5th Annual Meeting, Vision Sciences Society, May 2005.
Abstract

    Constraining a Bayesian model of human visual speed perception
A A Stocker and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*04), vol.17 pp. 1361--1368, May 2005.
Abstract | PDF

    Machine learning applied to perception: Decision images for classification
F Wichmann, A Graf, E P Simoncelli, H Bülthoff and B Schölkopf. Adv. Neural Information Processing Systems (NIPS*04), vol.17 pp. 1489--1496, May 2005.
Abstract | PDF

    Structural approaches to image quality assessment
Z Wang, A C Bovik and E P Simoncelli. Handbook of Image and Video Processing, pages 961--974. Academic Press, May 2005.
Abstract | PDF

    Statistical modeling of photographic images
E P Simoncelli. Handbook of Image and Video Processing, pages 431--441. Academic Press, May 2005.
Abstract | PDF

    Comparison of power and tractability of neural encoding models that incorporate spike-history dependence
L Paninski, J W Pillow and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (208), Mar 2005.
Abstract

    Explicit cortical representation of probabilities are not necessary for optimal perceptual behavior
A A Stocker and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), (253), Mar 2005.
Abstract

    Modeling multineuronal responses in primate retinal ganglion cells
J W Pillow, J Shlens, L Paninski, E J Chichilnisky and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2005.
Abstract

    Translation insensitive image similarity in the complex wavelet domain
Z Wang and E P Simoncelli. Proc. Int'l Conf Acoustics Speech Signal Processing (ICASSP), vol.II pp. 573--576, Mar 2005.
Abstract | PDF

    Reduced-reference image quality assessment using a wavelet-domain natural image statistic model
Z Wang and E P Simoncelli. Proc. SPIE, Conf. on Human Vision and Electronic Imaging, X, vol.5666 pp. 149--159, Jan 2005.
Abstract | PDF

    Neural coding and the statistical modeling of neuronal responses
Jonathan Pillow. PhD thesis, ,
Jan 2005.
Abstract | PDF

    Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model
L Paninski, J Pillow and E P Simoncelli. Neural Computation, vol.16(12), pp. 2533--2561, Dec 2004.
Abstract | PDF

    Accounting for timing and variability of retinal ganglion cell light responses with a stochastic integrate-and-fire model
J W Pillow, L Paninski, V J Uzzell, E P Simoncelli and E J Chichilnisky. Annual Meeting, Neuroscience, Nov 2004.
Abstract

    Maximum likelihood estimation of cascade point-process neural encoding models
L Paninski. Network: Computation in Neural Systems, vol.15(4), pp. 243--262, Nov 2004.
Abstract | PDF

    Characterization of neural responses with stochastic stimuli
E P Simoncelli, L Paninski, J Pillow and O Schwartz. The Cognitive Neurosciences, III, pages 327--338. MIT Press, Oct 2004.
Abstract | PDF

    Comparison of two spike-triggered techniques for neural characterization based on covariance and information measures
N C Rust, T Sharpee, J A Movshon and E P Simoncelli. Gordon Research Conference, Sep 2004.
Abstract

    Signal transmission, feature representation and computation in areas V1 and MT of the macaque monkey
Nicole C Rust. PhD thesis, ,
Sep 2004.
Abstract | PDF

    Spike-triggered characterization of excitatory and suppressive stimulus dimensions in monkey V1
N C Rust, O Schwartz, J A Movshon and E P Simoncelli. Neurocomputing, vol.58--60 pp. 793--799, Jun 2004.
Abstract | PDF

    Local phase coherence and the perception of blur
Z Wang and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*03), vol.16 pp. 1435--1442, May 2004.
Abstract | PDF

    Maximum likelihood estimation of a stochastic integrate-and-fire neural model
L Paninski, J W Pillow and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*03), vol.16 pp. 1311--1318, May 2004.
Winner, best student paper award.
Abstract | PDF

    Differentiation of discrete multi-dimensional signals
H Farid and E P Simoncelli. IEEE Trans. Image Processing, vol.13(4), pp. 496--508, Apr 2004.
Abstract | PDF

    Perceptual image quality assessment: From error visibility to structural similarity
Z Wang, A C Bovik, H R Sheikh and E P Simoncelli. IEEE Trans. Image Processing, vol.13(4), pp. 600--612, Apr 2004.
Recipient, Sustained Impact Paper award, 2016; Best Paper award, 2009 - IEEE SIgnal Processing Society.
Abstract | PDF

    Quantitative Bayesian model of human visual motion perception
A A Stocker and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2004.
Abstract

    Unexpected spatio-temporal structure in V1 simple and complex cells revealed by spike-triggered covariance
N C Rust, O Schwartz, E P Simoncelli and J A Movshon. Computational and Systems Neuroscience (CoSyNe), (110), Mar 2004.
Abstract

    Characterization of macaque retinal ganglion cell responses using spike-triggered covariance
J W Pillow, E P Simoncelli and E J Chichilnisky. Computational and Systems Neuroscience (CoSyNe), (109), Mar 2004.
Abstract

    Stimulus synthesis for efficient evaluation and refinement of perceptual image quality metrics
Z Wang and E P Simoncelli. Proc. SPIE, Conf on Human Vision and Electronic Imaging, IX, vol.5292 pp. 99--108, Jan 2004.
Abstract | PDF

    Convergence properties of some spike-triggered analysis techniques
L Paninski. Network: Computation in Neural Systems, vol.14(3), pp. 437--464, 2003.
Abstract | PDF

    Estimation of entropy and mutual information
L Paninski. Neural Computation, vol.15 pp. 1191--1253, 2003.
Abstract | PDF

    Maximum likelihood estimation of a stochastic integrate-and-fire cascade spiking model
L M Paninski, J W Pillow and E P Simoncelli. Annual Meeting, Neuroscience, Nov 2003.
Abstract

    An analysis of spike-triggered covariance reveals suppressive mechanisms of directional selectivity in macaque V1 neurons
N Rust, O Schwartz, E P Simoncelli and J A Movshon. Annual Meeting, Neuroscience, Nov 2003.
Abstract

    Characterization of nonlinear spatiotemporal properties of macaque retinal ganglion cells using spike-triggered covariance
J W Pillow, E P Simoncelli and E J Chichilnisky. Annual Meeting, Neuroscience, Nov 2003.
Abstract

    Multiscale structural similarity for image quality assessment
Z Wang, E P Simoncelli and A C Bovik. Proc 37th Asilomar Conf on Signals, Systems and Computers, vol.2 pp. 1398--1402, Nov 2003.
Abstract | PDF

    Image denoising using scale mixtures of Gaussians in the wavelet domain
J Portilla, V Strela, M J Wainwright and E P Simoncelli. IEEE Trans. Image Processing, vol.12(11), pp. 1338--1351, Nov 2003.
Recipient, IEEE Signal Processing Society Best Paper Award, 2008.
Abstract | PDF

    Image restoration using Gaussian scale mixtures in the wavelet domain
J Portilla and E P Simoncelli. Proc 10th IEEE Int'l Conf on Image Proc (ICIP), vol.II pp. 965--968, Sep 2003.
Abstract | PDF

    Directly invertible nonlinear divisive normalization pyramid for image representation
R Valerio, E P Simoncelli and R Navarro. Visual Content Processing and Representation- Proc 8th Int'l Workshop, VLBV, pp. 331--340, Sep 2003.
Abstract | PDF

    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
J W Pillow, L Paninski and E P Simoncelli. Presented at Computational NeuroScience (CNS*03), Alicante Spain, Jul 2003.
Abstract

    Biases in white noise analysis due to non-Poisson spike generation
J W Pillow and E P Simoncelli. Neurocomputing, vol.52-54 pp. 109--115, Jun 2003.
Abstract | PDF

    Some rigorous results on the neural coding problem
Liam Paninski. PhD thesis, ,
May 2003.
Abstract | PDF

    Vision and the statistics of the visual environment
E P Simoncelli. Current Opinion in Neurobiology, vol.13(2), pp. 144--149, Apr 2003.
Abstract | PDF

    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
J Pillow, L Paninski and E P Simoncelli. Science Direct Working Paper, Technical Report S1574-034X(04), Mar 2003.
Abstract

    Seeing patterns in the noise
E P Simoncelli. Trends in Cog. Sci., vol.7(2), pp. 51--53, Feb 2003.
Abstract | PDF

    Local analysis of visual motion
E P Simoncelli. The Visual Neurosciences, pages 1616--1623. MIT Press, Jan 2003.
Abstract | PDF

    On advances in statistical modeling of natural images
A Srivastava, A B Lee, E P Simoncelli and S-C Zhu. J. Math. Imaging and Vision, vol.18(1), pp. 17--33, Jan 2003.
Abstract | PDF

    Gain control in Macaque area MT is directionally selective
N Rust, N Majaj, E P Simoncelli and J A Movshon. Annual Meeting, Neuroscience, Nov 2002.
Abstract

    Image denoising using Gaussian scale mixtures in the wavelet domain
J Portilla, V Strela, M J Wainwright and E P Simoncelli. Computer Science Technical Report, Courant Inst. of Mathematical Sciences, New York University, Technical Report TR2002-831, Sep 2002 .
Abstract | PDF

    Modeling and characterization of neural gain control
Odelia Schwartz. PhD thesis, ,
Sep 2002.
Abstract | PDF

    Motion illusions as optimal percepts
Y Weiss, E P Simoncelli and E H Adelson. Nature Neuroscience, vol.5(6), pp. 598--604, Jun 2002.
Abstract | PDF

    Inhibitory interactions in MT receptive fields
N Rust, E P Simoncelli and J A Movshon. 2nd Annual Meeting, Vision Sciences Society, May 2002.
Abstract

    Characterizing neural gain control using spike-triggered covariance
O Schwartz, E J Chichilnisky and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*01), vol.14 pp. 269--276, May 2002.
Honorable mention, best student paper award.
Abstract | PDF

    Natural image statistics and divisive normalization: Modeling nonlinearity and adaptation in cortical neurons
M J Wainwright, O Schwartz and E P Simoncelli. Probabilistic Models of the Brain: Perception and Neural Function, pages 203--222. MIT Press, Feb 2002.
Abstract | PDF

    Stochastic processes on graphs with cycles: Geometric and variational approaches
Martin J Wainwright. PhD thesis, ,
Jan 2002.
Abstract | PDF

    Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain
J Portilla, V Strela, M J Wainwright and E P Simoncelli. Proc 8th IEEE Int'l Conf on Image Proc (ICIP), vol.II pp. 37--40, Oct 2001.
Abstract | PS

    Natural signal statistics and sensory gain control
O Schwartz and E P Simoncelli. Nature Neuroscience, vol.4(8), pp. 819--825, Aug 2001 .
Abstract | PDF

    Random cascades on wavelet trees and their use in analyzing and modeling natural images
M J Wainwright, E P Simoncelli and A S Willsky. Applied and Computational Harmonic Analysis, vol.11(1), pp. 89--123, Jul 2001.
Abstract | PDF

    Modeling temporal response characteristics of V1 neurons with a dynamic normalization model
S Mikaelian and E P Simoncelli. Neurocomputing, vol.38--40 pp. 1461--1467, Jun 2001.
Abstract

    A spike-triggered covariance method for characterizing divisive normalization models
O Schwartz and E P Simoncelli. First Annual Meeting, Vision Sciences Society, May 2001.
Abstract

    Natural sound statistics and divisive normalization in the auditory system
O Schwartz and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*00), vol.13 pp. 166--172, May 2001.
Abstract | PDF

    Representing retinal image speed in visual cortex
E P Simoncelli and D J Heeger. Nature Neuroscience, vol.4(5), pp. 461--462, May 2001.
Abstract | PDF

    Natural image statistics and neural representation
E P Simoncelli and B Olshausen. Annual Review of Neuroscience, vol.24 pp. 1193--1216, May 2001.
Abstract | PDF

    Perceiving visual expansion without optic flow
P R Schrater, D C Knill and E P Simoncelli. Nature, vol.410 pp. 816--819, Apr 2001.
Abstract | PDF

    A parametric texture model based on joint statistics of complex wavelet coefficients
J Portilla and E P Simoncelli. Int'l Journal of Computer Vision, vol.40(1), pp. 49--71, Dec 2000.
Abstract | PDF | PS

    Random cascades of Gaussian scale mixtures and their use in modeling images with application to denoising
M J Wainwright, E P Simoncelli and Alan S Willsky. Proc 7th IEEE Int'l Conf on Image Proc (ICIP), vol.I pp. 260--263, Sep 2000.
Abstract | PDF

    Image denoising via adjustment of wavelet coefficient magnitude correlation
J Portilla and E P Simoncelli . Proc 7th IEEE Int'l Conf on Image Proc (ICIP), vol.III pp. 277--280, Sep 2000.
Abstract | PDF

    Random cascades on wavelet trees and their use in analyzing and modeling natural images
M J Wainwright, E P Simoncelli and A Willsky. Proc SPIE, Conf. on Wavelet Applications in Signal and Image Processing, VIII, vol.4119 pp. 229--240, Jul 2000.
Abstract | PDF

    Image denoising using a local Gaussian scale mixture model in the wavelet domain
V Strela, J Portilla and E P Simoncelli. Proc. SPIE, Conf. on Wavelet Applications in Signal and Image Processing, VIII, vol.4119 pp. 363--371, Jul 2000.
Abstract | PDF

    Scale mixtures of Gaussians and the statistics of natural images
M J Wainwright and E P Simoncelli. Adv. Neural Information Processing Systems (NIPS*99), vol.12 pp. 855--861, May 2000.
Abstract | PDF | PS

    Mechanisms of visual motion detection
P R Schrater, D C Knill and E P Simoncelli. Nature Neuroscience, vol.3(1), pp. 64--68, Jan 2000.
Abstract | PDF | PS

    Image compression via joint statistical characterization in the wavelet domain
R W Buccigrossi and E P Simoncelli. IEEE Trans. Image Processing, vol.8(12), pp. 1688--1701, Dec 1999.
Abstract | PDF | PS

    Compression and segmentation of images using an inter-subband wavelet probability model
Robert W Buccigrossi. PhD thesis, ,
Aug 1999.
Abstract | PDF

    Modeling the joint statistics of images in the wavelet domain
E P Simoncelli. Proc SPIE, 44th Annual Meeting, vol.3813 pp. 188--195, Jul 1999.
Abstract | PDF | PS

    Higher-order statistical models of visual images
E P Simoncelli. Proc. IEEE Signal Processing Workshop on Higher-Order Statistics, pp. 54--57, Jun 1999.
Abstract

    Texture modeling and synthesis using joint statistics of complex wavelet coefficients
J Portilla and E P Simoncelli. IEEE Workshop on Statistical and Computational Theories of Vision, Jun 1999.
Abstract | PDF | PS

    Explaining adaptation in V1 neurons with a statistically optimized normalization model
M J Wainwright and E P Simoncelli. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.40 pp. S-573, May 1999.
Abstract

    Accounting for surround suppression in V1 neurons using a statistically optimized normalization model
O Schwartz and E P Simoncelli. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.40 pp. S-641, May 1999.
Abstract

    Modeling surround suppression in V1 neurons with a statistically-derived normalization model
E P Simoncelli and O Schwartz. Adv. Neural Information Processing Systems (NIPS*98), vol.11 pp. 153--159, May 1999.
Abstract | PDF | PS

    Bayesian multi-scale differential optical flow
E P Simoncelli. Handbook of Computer Vision and Applications, pages 397--422. Academic Press, Apr 1999.
Abstract | PDF | PS

    Bayesian denoising of visual images in the wavelet domain
E P Simoncelli. Bayesian Inference in Wavelet Based Models, pages 291--308. Springer-Verlag, Apr 1999.
Abstract | PDF | PS

    Texture representation and synthesis using correlation of complex wavelet coefficient magnitudes
J Portilla and E P Simoncelli. Consejo Superior de Investigaciones Cientificas (CSIC), Madrid, Technical Report 54, Mar 1999.
Abstract | PS

    Cortical normalization models and the statistics of visual images
Eero P Simoncelli. Neural Information and Coding Workshop, Mar 1999.
Abstract

    Local velocity representation: Evidence from motion adaptation
P R Schrater and E P Simoncelli. Vision Research, vol.38(24), pp. 3899--3912, Dec 1998.
Abstract | PDF | PS

    Modeling MT neuronal responses to compound stimuli
S Mikaelian, V P Ferrera and E P Simoncelli. Annual Meeting, Neuroscience, Nov 1998.
Abstract

    Cortical normalization models and the statistics of natural images
E P Simoncelli. Proc Annual Meeting, Optical Society of America, Oct 1998.
Abstract

    Texture characterization via joint statistics of wavelet coefficient magnitudes
E P Simoncelli and J Portilla. Proc 5th IEEE Int'l Conf on Image Proc (ICIP), vol.I pp. 62--66, Oct 1998.
Abstract | PDF | PS

    Range estimation by optical differentiation
H Farid and E P Simoncelli. Journal Optical Society of America, A, vol.15(7), pp. 1777--1786, Jul 1998.
Abstract | PDF | PS

    Local motion detection: Comparison of human and model observers
Paul R Schrater. PhD thesis, ,
Jun 1998.
Abstract | PDF

    Derivation of a cortical normalization model from the statistics of natural images
E P Simoncelli and O Schwartz. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.39 pp. S-424, May 1998.
Abstract

    A model of neuronal responses in visual area MT
E P Simoncelli and D J Heeger. Vision Research, vol.38(5), pp. 743--761, Mar 1998.
Abstract | PDF | PS

    Statistical models for images: Compression, restoration and synthesis
E P Simoncelli. Proc 31st Asilomar Conf on Signals, Systems and Computers, vol.1 pp. 673--678, Nov 1997.
Abstract | PDF | PS

    Embedded wavelet image compression based on a joint probability model
E P Simoncelli and R W Buccigrossi. Proc 4th IEEE Int'l Conf on Image Proc (ICIP), vol.I pp. 640--643, Oct 1997.
Abstract | PDF | PS

    Efficient linear re-rendering for interactive lighting design
P C Teo, E P Simoncelli and D J Heeger. Computer Science Department, Stanford University, Technical Report STAN-CS-TN-97-60, Sep 1997.
Abstract | PDF | PS

    Normalized component analysis and the statistics of natural scenes
E P Simoncelli. Natural Scene Statistics Meeting, Sep 1997.
Abstract

    Discrete-time rigidity-constrained optical flow
J Mendelsohn, E P Simoncelli and R Bajcsy. Int'l Conf Computer Analysis of Images and Patterns, pp. 255--262, Sep 1997.
Abstract | PS

    Optimally rotation-equivariant directional derivative kernels
H Farid and E P Simoncelli. Int'l Conf Computer Analysis of Images and Patterns, pp. 207--214, Sep 1997.
Abstract | PDF | PS

    Can the visual system measure expansion rates without using optic flow?
P R Schrater, D C Knill and E P Simoncelli. European Conf on Visual Perception, Aug 1997.
Abstract

    Image compression via joint statistical characterization in the wavelet domain
R W Buccigrossi and E P Simoncelli. GRASP Laboratory, University of Pennsylvania, Technical Report 414, May 1997.
Abstract | PDF | PS

    Local translation detection: Evidence for velocity tuned pooling of spatio-temporal frequencies
P R Schrater, D C Knill and E P Simoncelli. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.38 pp. S-936, May 1997.
Abstract

    Progressive wavelet image coding based on a conditional probability model
R W Buccigrossi and E P Simoncelli. Proc. Int'l Conf Acoustics Speech Signal Processing (ICASSP), vol.IV pp. 2957--2960, Apr 1997.
Abstract | PDF | PS

    Discrete-time rigid motion constrained optical flow assuming planar structure
J Mendelsohn, E P Simoncelli and R Bajcsy. GRASP Laboratory, University of Pennsylvania, Technical Report 410, Feb 1997.
Abstract | PDF

    Range estimation by optical differentiation
Hany Farid. PhD thesis, ,
Feb 1997.
Abstract | PDF

    Peripheral visual field, fixation and direction of heading
I Thomas , E P Simoncelli and R Bajcsy. Exploratory Vision: The Active Eye, pages 169--190. Springer-Verlag, 1996.
Abstract | PDF

    A differential optical range camera
H Farid and E P Simoncelli. Optical Society of America, Annual Meeting, Oct 1996.
Abstract | PDF | PS

    Noise removal via Bayesian wavelet coring
E P Simoncelli and E H Adelson. Proc 3rd IEEE Int'l Conf on Image Proc (ICIP), vol.I pp. 379--382, Sep 1996.
Abstract | PDF | PS

    A rotation-invariant pattern signature
E P Simoncelli. Proc 3rd IEEE Int'l Conf on Image Proc (ICIP), vol.III pp. 185--188, Sep 1996.
Abstract | PDF | PS

    Steerable wedge filters for local orientation analysis
E P Simoncelli and H Farid. IEEE Trans. Image Processing, vol.5(9), pp. 1377--1382, Sep 1996.
Abstract | PDF | PS

    Acceleration-limited egomotion estimation
J Mendelsohn and E P Simoncelli. GRASP Laboratory, University of Pennsylvania, Technical Report 406, Aug 1996.
Abstract

    Testing and refining a computational model of neural responses in Area MT
E P Simoncelli, W D Bair, J R Cavanaugh and J A Movshon. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.37 pp. S-916, May 1996.
Abstract

    A filter design technique for Steerable Pyramid image transforms
A Karasaridis and E P Simoncelli. Proc. Int'l Conf Acoustics Speech Signal Processing (ICASSP), vol.IV pp. 2387--2390, May 1996.
Abstract | PDF | PS

    Direct differential range estimation using optical masks
E P Simoncelli and H Farid. Fourth European Conf on Computer Vision, vol.II pp. 82--93, Apr 1996.
Abstract | PDF | PS

    Computational models of cortical visual processing
D J Heeger, E P Simoncelli and J A Movshon. Proc. Nat'l Academy of Science, vol.93 pp. 623--627, Jan 1996.
Abstract | PDF | PS

    The Steerable Pyramid: A flexible architecture for multi-scale derivative computation
E P Simoncelli and W T Freeman. Proc 2nd IEEE Int'l Conf on Image Proc (ICIP), vol.III pp. 444--447, Oct 1995.
Abstract | PDF | PS

    Steerable wedge filters
E P Simoncelli and H Farid. Fifth Int'l Conf Computer Vision, pp. 189--194, Jun 1995.
Abstract | PDF | PS

    Rendering spaces for architectural environments
J Nimeroff, E P Simoncelli, J Dorsey and N Badler. Presence, The Journal of Virtual Reality and Teleoperators, vol.4(3), pp. 286--296, Jun 1995.
Abstract | PDF | PS

    Effect of contrast and period on perceived coherence of moving square-wave plaids
H Farid, E P Simoncelli, M J Bravo and P R Schrater. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.36 pp. S-51, May 1995.
Abstract

    Biases in speed perception due to motion aftereffect
P Schrater and E P Simoncelli. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.36 pp. S-54, May 1995.
Abstract

    Fixation and a 180-Degree view simplify egomotion estimation
I Thomas, E P Simoncelli and R Bajcsy. University of Pennsylvania, Technical Report MS-CIS-95-15, Mar 1995.
Abstract | PDF

    Separation of transparent motion into layers using velocity-tuned mechanisms
T Darrell and E P Simoncelli. Third European Conf on Computer Vision, Stockholm, 1994.
Abstract | PS

    Linear structure from motion
I Thomas and E P Simoncelli. University of Pennsylvania, Technical Report IRCS-94-26, Dec 1994.
Abstract | PDF | PS

    Design of multi-dimensional derivative filters
E P Simoncelli. Proc 1st IEEE Int'l Conf on Image Proc (ICIP), vol.I pp. 790--794, Nov 1994.
Abstract | PDF | PS

    Spherical retinal flow for a fixating observer
I Thomas, E P Simoncelli and R Bajcsy. Proc. IAPR/IEEE Workshop on Visual Behaviors, pp. 37--41, Jun 1994.
Abstract | PDF | PS

    Efficient re-rendering of naturally illuminated environments
J Nimeroff, E P Simoncelli and J Dorsey. Fifth Annual Eurographics Symposium on Rendering, Jun 1994.
Abstract | PDF

    Motion adaptation effects suggest an explicit representation of velocity
P Schrater and E P Simoncelli. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.35 pp. 1268, May 1994.
Abstract

    The perception of transparency in moving square-wave plaids
H Farid and E P Simoncelli. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.35 pp. 1271, May 1994.
Abstract

    A velocity-representation model for MT cells
E P Simoncelli and D J Heeger. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.35 pp. 1827, May 1994.
Abstract

    A novel radial intensity based edge operator
G Provan, H Farid and E P Simoncelli. University of Pennsylvania, Technical Report MS-CIS-94-07, Jan 1994.
Abstract | PDF

    Model of visual motion sensing
D J Heeger and E P Simoncelli. Spatial Vision in Humans and Robots, pages 367--392. Cambridge University Press, 1993.
Abstract | PDF

    Coarse-to-fine estimation of visual motion
E P Simoncelli. Proc Eighth Workshop on Image and Multidimensional Signal Processing, pp. 128--129, Sep 1993.
Abstract | PDF | PS

    Integration of structure-from-motion information across time and space
T Darrell, E P Simoncelli, A Azarbayejani, B Horowitz and A P Pentland. European Conf on Visual Perception, Aug 1993.
Abstract

    ``Nulling'' filters and the separation of transparent motions
T J Darrell and E P Simoncelli. Conf on Computer Vision and Pattern Recognition (CVPR), pp. 738--742, Jun 1993.
Abstract

    Separation of transparent motion into layers using velocity-tuned mechanisms
T J Darrell and E P Simoncelli. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.34 pp. 1052, May 1993.
Abstract

    A computational model for representation of image velocities
E P Simoncelli and D J Heeger. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.34 pp. 1346, May 1993.
Abstract

    Distributed representation and analysis of visual motion
Eero P. Simoncelli. PhD thesis, ,
Jan 1993.
Abstract | PDF | PS

    Computing optical flow from first and second derivatives
E P Simoncelli. MIT Media Laboratory, Technical Report , Nov 1992.
Abstract

    On the use of nulling filters to separate transparent motions
T J Darrell and E P Simoncelli. MIT Media Laboratory, Technical Report 198, Oct 1992.
Abstract | PDF

    Distributed representation of image velocity
E P Simoncelli. MIT Media Laboratory, Technical Report 202, Oct 1992.
Abstract | PDF

    OBVIUS: Object-Based vision and image understanding system, version 2.2
D J Heeger, E P Simoncelli and EJ Chichilnisky. MIT Media Laboratory, Technical Report 195, Aug 1992.
Abstract | PS

    A model of transparent motion perception using layers
T J Darrell, E P Simoncelli, E H Adelson and A P Pentland. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.33 pp. 1142, May 1992.
Abstract

    A computational model for perception of two-dimensional pattern velocities
E P Simoncelli and D J Heeger. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.33 pp. 954, May 1992.
Abstract

    Shiftable multi-scale transforms
E P Simoncelli, W T Freeman, E H Adelson and D J Heeger. IEEE Trans. Information Theory, vol.38(2), pp. 587--607, Mar 1992.
(subtitle: What's wrong with orthogonal wavelets for image representation)
Abstract | PDF | PS

    Recovering observer translation with center-surround operators
D J Heeger, A D Jepson and E P Simoncelli. Proc IEEE Workshop on Visual Motion, pp. 95--100, Oct 1991.
Abstract

    Probability distributions of optical flow
E P Simoncelli, E H Adelson and D J Heeger. Proc Conf on Computer Vision and Pattern Recognition (CVPR), pp. 310--315, Jun 1991.
Abstract | PDF | PS

    Relationship between gradient, spatio-temporal energy, and regression models for motion perception
E P Simoncelli and E H Adelson. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.32 pp. 893, May 1991.
Abstract

    Noise reduction in video images using coring on QMF pyramids
A J Kalb. Bachelors Thesis
May 1991.
Abstract | PDF

    Detection of multiple motions
E P Simoncelli. MIT Media Laboratory, Technical Report , Apr 1991.
Abstract

    Pyramids for early vision
E H Adelson, E P Simoncelli and W T Freeman. Representations of Vision, pages 3--16. Cambridge University Press, Apr 1991.
Abstract

    Subband Transforms
E P Simoncelli and E H Adelson. Subband image coding, pages 143--192. Kluwer Academic Publishers, 1990.
Abstract | PDF | PS

    Computing optical flow distributions using spatio-temporal filters
E P Simoncelli and E H Adelson. MIT Media Laboratory, Technical Report 165, Nov 1990.
Abstract | PDF | PS

    Optical flow distributions: Gradient, energy and regression methods
E P Simoncelli and E H Adelson. Optical Society of America, Annual Meeting, Nov 1990.
Abstract

    Pyramids and multiscale representations
E H Adelson, E P Simoncelli and W T Freeman. Proc European Conf on Visual Perception, Aug 1990.
Abstract

    Perception of 3D motion in the presence of uncertainty
E P Simoncelli, D J Heeger and E H Adelson. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.31 pp. 173, May 1990.
Abstract

    Non-separable extensions of quadrature mirror filters to multiple dimensions
E P Simoncelli and E H Adelson. Proc IEEE: Special Issue on Multi-dimensional Signal Processing, vol.78(4), pp. 652--664, Apr 1990.
Abstract | PDF

    Subband image coding with hexagonal quadrature mirror filters
E P Simoncelli and E H Adelson. Proc Picture Coding Symposium, pp. 10.7.1--10.7.5, Mar 1990.
Abstract | PS

    Subband image coding with three-tap pyramids
E H Adelson and E P Simoncelli. Proc. Picture Coding Symposium, pp. 3.9.1--3.9.3, Mar 1990.
Abstract | PDF | PS

    Nonseparable QMF pyramids
E P Simoncelli and E H Adelson. Proc. SPIE, Visual Comm. and Image Proc., IV, vol.1199.3 pp. 1242--1246, Nov 1989.
Abstract

    Steerable filters for image analysis
W T Freeman, E H Adelson and E P Simoncelli. Optical Society of America, Annual Meeting, vol.18 Oct 1989.
Abstract

    Hexagonal QMF pyramids
E H Adelson and E P Simoncelli. Proc Optical Society of America, Topical Meeting on Applied Vision, pp. 5--8, Jul 1989.
Abstract

    OBVIUS: Object-Based vision and image understanding system
D J Heeger, E P Simoncelli and M Sokolov. MIT Media Laboratory, Technical Report 121, Apr 1989.
Abstract

    Sequential motion analysis
D J Heeger and E P Simoncelli. Proc of AAAI Robot Navigation Symposium, pp. 24--28, Mar 1989.
Abstract

    Sampling strategies for image representations
E Adelson, E P Simoncelli and R Hummel. Investigative Opthalmology and Visual Science Supplement (ARVO), vol.29 pp. 408, May 1988.
Abstract

    Orthogonal sub-band image transforms
Eero P Simoncelli. MS thesis, ,
May 1988.
Abstract | PDF

    Multi-scale image transforms
E P Simoncelli and E H Adelson. MIT Media Laboratory, Technical Report 101, Jan 1988.
Abstract

    Orthogonal pyramid transforms for image coding
E H Adelson, E P Simoncelli and R Hingorani. Proc. SPIE, Visual Comm. and Image Proc. II, vol.845 pp. 50--58, Oct 1987.
Abstract | PDF | PS

    Efficient image coding with QMF pyramids
E P Simoncelli and E H Adelson. Optical Society of America, Annual Meeting, vol.A4-13 pp. 84, Oct 1987.
Abstract

    QMF pyramids: A new class of orthogonal pyramid transform
E H Adelson and E P Simoncelli. Optical Society of America, Annual Meeting, vol.A4-13 pp. 84, Oct 1987.
Abstract

    Orthogonal pyramid transforms for image coding
E H Adelson, E P Simoncelli and R Hingorani. Proc Tenth European Conf on Visual Perception, Aug 1987.
Abstract

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