Home People Research Publications Software

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

    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.
Abstract | PDF

    Foundations of visual form selectivity for neurons in macaque V1 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, Center for Neural Science, New York University,
New York, NY, 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. Adv. Neural Information Processing Systems (NeurIPS), Workshop on UniReps: Unifying Representations in Neural Models, 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, Center for Neural Science, New York University,
New York, NY, 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

    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.
Abstract | PDF

    Spatial frequency selectivity in macaque LGN and V1
Paul Levy. PhD thesis, Center for Neural Science, New York University,
New York, NY, 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, Center for Neural Science, New York University,
New York, NY, 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, Center for Neural Science, New York University,
New York, NY, May 2022.
Abstract | PDF

    Flexible sensory information processing through targeted stochastic co-modulation
Caroline Haimerl. PhD thesis, Center for Neural Science, New York University,
New York, NY, May 2022.
Abstract | PDF

    Robust and interpretable denoising via deep learning
Sreyas Mohan. PhD thesis, Center for Data Science, New York University,
New York, NY, 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 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, Center for Neural Science, New York University,
New York, NY, 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, Center for Neural Science, New York University,
New York, NY, 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, Center for Neural Science, New York University,
New York, NY, 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, Center for Neural Science, New York University,
New York, NY, 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

    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, Courant Inst. Mathematical Sciences, New York University,
New York, NY, 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, Center for Neural Science, New York University,
New York, NY, 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, Center for Neural Science, New York University,
New York, NY, 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, Courant Institute of Mathematical Sciences, New York University,
New York, NY, Sep 2012.
Abstract | PDF

    Efficient coding and Bayesian inference with neural populations
Deep Ganguli. PhD thesis, Center for Neural Science, New York University,
New York, NY, 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

    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, Center for Neural Science, New York University,
New York, NY, 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, Courant Institute of Mathematical Sciences, New York University,
New York, NY, 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, Courant Institute of Mathematical Sciences, New York University,
New York, NY, 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, Center for Neural Science, New York University,
New York, NY, 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, Center for Neural Science, New York University,
New York, NY, 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, Center for Neural Science, New York University,
New York, NY, 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

    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, Center for Neural Science, New York University,
New York, NY, 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, Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology,
Cambridge, MA, 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, Computer and Information Science Dept, University of Pennsylvania,
Philadelphia, PA, 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, Department of Neuroscience, University of Pennsylvania,
Philadelphia, PA, 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, Computer and Information Science Dept, University of Pennsylvania,
Philadelphia, PA, 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, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology,
Cambridge, MA, 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.
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, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science,
Cambridge, MA, 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