Natural Image Statistics
We studied the statistics of natural image in relation to normative models of the early visual system, in particular redundancy reduction and contrast gain control.
Lab members are shown in this color.
2014
F.H. Sinz, J.-P. Lies, S. Gerwinn, M. Bethge
Natter: A Python natural image statistics toolbox
Journal of Statistical Software, 61
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2013
F. Sinz, M. Bethge
What Is the Limit of Redundancy Reduction with Divisive Normalization?
Neural Computation, 25, 2809-2814
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F. Sinz, M. Bethge
Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images
PLoS Computational Biology, 9, e1002889
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2012
F. H. Sinz
Orientation Selectivity and Contrast Gain Control in Representations of Natural Images
PhD Thesis, Graduate School of Neural and Behavioural Sciences, University Tuebingen
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2011
L. Theis, S. Gerwinn, F. Sinz, M. Bethge
In All Likelihood, Deep Belief Is Not Enough
Journal of Machine Learning Research, 12, 3071-3096
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2010
R. Hosseini, F. Sinz, M. Bethge
Lower bounds on the redundancy of natural images
Vision Research, 50, 2213-2222
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F. Sinz, M. Bethge
$L_p$-nested symmetric distributions
Journal of Machine Learning Research, 11, 3409-3451
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2009
F. Sinz, S. Gerwinn, M. Bethge
Characterization of the p-generalized normal distribution
Journal of Multivariate Analysis, 100, 817-820
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J. Eichhorn1, F. Sinz1, M. Bethge
Natural Image Coding in V1: How Much Use Is Orientation Selectivity?
PLoS Computational Biology, 5
, equal contribution: 1
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F. Sinz, E. P. Simoncelli, M. Bethge
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions
Advances in Neural Information Processing Systems 22, 1696-1704
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2008
F. Sinz, M. Bethge
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Advances in Neural Information Processing Systems 21, 1521-1528
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F. Sinz, M. Bethge
How much can Orientation Selectivity and Contrast Gain Control Reduce Redundancies in Natural Images
Technical Report Max Planck Institute for Biological Cybernetics
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