Publications with the keyword "natural image statistics"


L. Theis and M. Bethge
Generative Image Modeling Using Spatial LSTMs
Advances in Neural Information Processing Systems 28, 2015
#deep learning, #generative modeling, #natural image statistics, #lstm, #mcgsm
Code, URL, PDF, Supplemental, BibTex
S. Sra, R. Hosseini, L. Theis, and M. Bethge
Data modeling with the elliptical gamma distribution
Artificial Intelligence and Statistics, 2015
#density estimation, #natural image statistics
URL, BibTex
H. E. Gerhard, L. Theis, and M. Bethge
Modeling Natural Image Statistics
Biologically-inspired Computer Vision—Fundamentals and Applications (to appear), Wiley VCH, 2015, ISBN 978-3527412648
#natural image statistics, #mcgsm, #ica, #psychophysics
URL, ISBN, PDF, BibTex
F. Sinz, J.-P. Lies, S. Gerwinn, and M. Bethge
Natter: A Python Natural Image Statistics Toolbox
Journal of Statistical Software, 61(5), 2014
#natural image statistics, #software, #python
Code, PDF, BibTex
E. Froudarakis, P. Berens, A. S. Ecker, R. J. Cotton, F. H. Sinz, D. Yatsenko, P. Saggau, M. Bethge, et al.
Population code in mouse V1 facilitates read-out of natural scenes through increased sparseness
Nature Neuroscience, 17, 851-857, 2014
#sparsity, #natural image statistics, #population coding, #v1, #two-photon imaging
URL, DOI, PDF, BibTex
J.-P. Lies, R. M. Häfner, and M. Bethge
Slowness and sparseness have diverging effects on complex cell learning
PLoS Computational Biology, 10(3), 2014
#slowness, #sparsity, #complex cell, #natural image statistics, #unsupervised learning
Code, URL, DOI, PDF, BibTex
F. Sinz and M. Bethge
Temporal adaptation enhances efficient contrast gain control on natural images
PLoS Computational Biology, 9(1), 2013
#natural image statistics, #divisive normalization, #contrast gain control, #lp-spherically symmetric distributions
Code, URL, PDF, BibTex
H. E. Gerhard, F. A. Wichmann, and M. Bethge
How Sensitive Is the Human Visual System to the Local Statistics of Natural Images?
PLoS Computational Biology, 9(1), 2013
#natural image statistics, #psychophysics
URL, PDF, BibTex
L. Theis, J. Sohl-Dickstein, and M. Bethge
Training sparse natural image models with a fast Gibbs sampler of an extended state space
Advances in Neural Information Processing Systems 25, 2012
#natural image statistics, #ica, #overcompleteness
Code, PDF, Supplemental, Poster, BibTex
L. Theis, R. Hosseini, and M. Bethge
Mixtures of conditional Gaussian scale mixtures: the best model for natural images
Frontiers in Computational Neuroscience, 2012
#natural image statistics, #gaussian scale mixtures, #mixture models
URL, DOI, Poster, BibTex
L. Theis, R. Hosseini, and M. Bethge
Mixtures of Conditional Gaussian Scale Mixtures Applied to Multiscale Image Representations
PLoS ONE, 7(7), 2012
#natural image statistics, #gaussian scale mixtures, #random fields, #mcgsm
Code, DOI, PDF, BibTex
L. Theis, S. Gerwinn, F. Sinz, and M. Bethge
In All Likelihood, Deep Belief Is Not Enough
Journal of Machine Learning Research, 12, 3071-3096, 2011
#natural image statistics, #deep belief networks, #boltzmann machines, #deep learning
Code, PDF, BibTex
H. E. Gerhard, T. Wiecki, F. Wichmann, and M. Bethge
Perceptual sensitivity to statistical regularities in natural images
The 9th Göttingen Meeting of the German Neuroscience Society, 2011
#natural image statistics, #psychophysics, #perception
URL, PDF, BibTex
F. Sinz and M. Bethge
Lp-nested symmetric distributions
Journal of Machine Learning Research, 11, 3409-3451, 2010
#natural image statistics, #ica, #lp-spherically symmetric distributions, #nu-spherical symmetric distributions
PDF, BibTex
R. Hosseini, F. Sinz, and M. Bethge
Lower bounds on the redundancy of natural images
Vision Research, 50(22), 2213-2222, 2010
#natural image statistics
PDF, BibTex
R. Hosseini, F. Sinz, and M. Bethge
New Estimate for the Redundancy of Natural Images
Frontiers in Computational Neuroscience, 2010
#natural image statistics, #multi-information rate
DOI, BibTex
L. Theis, S. Gerwinn, F. Sinz, and M. Bethge
Likelihood Estimation in Deep Belief Networks
Frontiers in Computational Neuroscience, 2010
#deep belief networks, #likelihood estimation, #natural image statistics
Code, URL, DOI, BibTex
J. Eichhorn, F. Sinz, and M. Bethge
Natural Image Coding in V1: How Much Use Is Orientation Selectivity?
PLoS Computational Biology, 5(4), 2009
#natural image models, #natural image statistics, #normative models
Code, DOI, PDF, BibTex
F. Sinz and M. Bethge
A new class of distributions for natural images generalizing independent subspace analysis
Frontiers in Computational Neuroscience, 2009
#natural image statistics, #lp-nested symmetric distributions, #independent subspace analysis
DOI, BibTex
F. H. Sinz, E. Simoncelli, and M. Bethge
Hierarchical Modeling of Local Image Features through Lp-Nested Symmetric Distributions
Advances in Neural Information Processing Systems 22, 2009
#natural image statistics, #ica, #lp-spherically symmetric distributions, #nu-spherical symmetric distributions
Code, PDF, BibTex
M. Bethge and P. Berens
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Advances in Neural Information Processing Systems 20, 2008
#population coding, #natural image statistics, #maximum entropy
Code, PDF, BibTex
F. Sinz and M. Bethge
Redundancy Reduction in Natural Images: Quantifying the Effect of Orientation Selectivity and Contrast Gain Control
Gordon Research Conference: Sensory Coding and The Natural Environment, 2008
#natural image statistics, #lp-spherically symmetric distributions, #contrast gain control
BibTex
F. Sinz and M. Bethge
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction in Natural Images
Frontiers in Computational Neuroscience, 2008
#natural image statistics, #lp-spherically symmetric distributions, #contrast gain control
DOI, BibTex
F. Sinz and M. Bethge
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Advances in Neural Information Processing Systems 21, 2008
#contrast gain control, #normative models, #natural image statistics, #lp-spherically symmetric distributions
Code, PDF, BibTex
F. H. Sinz and M. Bethge
How much can orientation selectivity and contrast gain control reduce the redundancies in natural images
Max Planck Institute for Biological Cybernetics, 2008
#natural image models, #natural image statistics, #normative models, #ica, #contrast gain control
PDF, BibTex
M. Bethge, T. V. Wiecki, and F. A. Wichmann
The Independent Components of Natural Images are Perceptually Dependent
Proceedings of SPIE Human Vision and Electronic Imaging XII (EI105), 2007
#natural image statistics, #ica, #psychophysics, #perception
PDF, BibTex
University of Tuebingen BCCN CIN MPI