Journal Articles by M. Bethge
T. Baden,
P. Berens,
M. Bethge, and
T. Euler
Spikes in Mammalian Bipolar Cells Support Temporal Layering of the Inner Retina
Current Biology, 23(1), 48-52, 2013
#retina, #bipolar cells, #population coding
URL, DOI, PDF, BibTex
Spikes in Mammalian Bipolar Cells Support Temporal Layering of the Inner Retina
Current Biology, 23(1), 48-52, 2013
#retina, #bipolar cells, #population coding
URL, DOI, PDF, BibTex
R. M. Haefner,
S. Gerwinn,
J. H. Macke, and
M. Bethge
Inferring decoding strategies from choice probabilities in the presence of correlated variability
Nature Neuroscience, 16, 235-242, 2013
#noise correlations, #choice probabilities, #decision making, #population coding
Code, URL, PDF, Perspective, BibTex
Inferring decoding strategies from choice probabilities in the presence of correlated variability
Nature Neuroscience, 16, 235-242, 2013
#noise correlations, #choice probabilities, #decision making, #population coding
Code, URL, PDF, Perspective, 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
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
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
P. Berens,
A. S. Ecker,
R. J. Cotton,
W. J. Ma,
M. Bethge, and
A. S. Tolias
A fast and simple population code for orientation in primate V1
Journal of Neuroscience , 32(31), 10618-10626, 2012
#population code, #orientation, #v1, #macaque, #logistic regression, #multi-tetrode recordings
Code, URL, PDF, Dataset, BibTex
A fast and simple population code for orientation in primate V1
Journal of Neuroscience , 32(31), 10618-10626, 2012
#population code, #orientation, #v1, #macaque, #logistic regression, #multi-tetrode recordings
Code, URL, PDF, Dataset, 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
Code, DOI, PDF, BibTex
Mixtures of Conditional Gaussian Scale Mixtures Applied to Multiscale Image Representations
PLoS ONE, 7(7), 2012
#natural image statistics, #gaussian scale mixtures, #random fields
Code, DOI, PDF, BibTex
T. Putzeys,
M. Bethge,
F. A. Wichmann,
J. Wagemans, and
R. Goris
A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses
PLoS Computational Biolology, 8(4), 2012
URL, DOI, PDF, BibTex
A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses
PLoS Computational Biolology, 8(4), 2012
URL, 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
Code, PDF, BibTex
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
Code, PDF, BibTex
A. S. Ecker,
P. Berens,
A. S. Tolias, and
M. Bethge
The effect of noise correlations in populations of diversely tuned neurons
The Journal of Neuroscience, 31(40), 14272-14283, 2011
#noise correlations, #population coding, #fisher information
Code, URL, DOI, PDF, BibTex
The effect of noise correlations in populations of diversely tuned neurons
The Journal of Neuroscience, 31(40), 14272-14283, 2011
#noise correlations, #population coding, #fisher information
Code, URL, DOI, PDF, BibTex
J. H. Macke,
M. Opper, and
M. Bethge
Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity
Physical Review Letters, 106(20), 2011
#population coding
DOI, PDF, BibTex
Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity
Physical Review Letters, 106(20), 2011
#population coding
DOI, PDF, BibTex
P. Berens,
A. S. Ecker,
S. Gerwinn,
A. S. Tolias, and
M. Bethge
Reassessing optimal neural population codes with neurometric functions
Proceedings of the National Academy of Sciences of the United States of America, 108(11), 4423-4428, 2011
#fisher information, #population coding, #mean squared error, #discrimination error, #neurometric function
Code, URL, PDF, BibTex
Reassessing optimal neural population codes with neurometric functions
Proceedings of the National Academy of Sciences of the United States of America, 108(11), 4423-4428, 2011
#fisher information, #population coding, #mean squared error, #discrimination error, #neurometric function
Code, URL, PDF, BibTex
J. Macke,
P. Berens, and
M. Bethge
Statistical analysis of multi-cell recordings: linking population coding models to experimental data
Frontiers in Computational Neuroscience, 5(35), 2011
#multi-cell recordings, #population models, #statistical analysis
URL, PDF, BibTex
Statistical analysis of multi-cell recordings: linking population coding models to experimental data
Frontiers in Computational Neuroscience, 5(35), 2011
#multi-cell recordings, #population models, #statistical analysis
URL, PDF, BibTex
T. Kitching,
A. Amara,
M. Gill,
S. Harmeling,
C. Heymans,
R. Massey,
B. Rowe,
T. Schrabback,
L. Voigt,
S. Balan,
G. Bernstein,
M. Bethge,
S. Bridle,
F. Courbin,
M. Gentile,
A. Heavens,
M. Hirsch,
R. Hosseini,
A. Kiessling,
D. Kirk,
K. Kuijken,
R. Mandelbaum,
B. Moghaddam,
G. Nurbaeva,
S. Paulin-Henriksson,
A. Rassat,
J. Rhodes,
B. Schölkopf,
J. Shawe-Taylor,
M. Shmakova,
A. Taylor,
M. Velander,
L. van Waerbeke,
D. Witherick, and
D. Wittman
Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook
The Annals of Applied Statistics, 5(3), 2231-2263, 2011
URL, BibTex
Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook
The Annals of Applied Statistics, 5(3), 2231-2263, 2011
URL, BibTex
S. Gerwinn,
J. Macke, and
M. Bethge
Reconstructing stimuli from the spike times of leaky integrate and fire neurons
Frontiers in Neuroscience, 5, 2011
#population coding, #decoding, #bayesian inference, #spiking neurons
URL, DOI, PDF, BibTex
Reconstructing stimuli from the spike times of leaky integrate and fire neurons
Frontiers in Neuroscience, 5, 2011
#population coding, #decoding, #bayesian inference, #spiking neurons
URL, DOI, 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
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
Lower bounds on the redundancy of natural images
Vision Research, 50(22), 2213-2222, 2010
#natural image statistics
PDF, BibTex
A. S. Ecker,
P. Berens,
G. A. Keliris,
M. Bethge,
N. K. Logothetis, and
A. S. Tolias
Decorrelated Neuronal Firing in Cortical Microcircuits
Science, 327(5965), 584-587, 2010
#noise correlations, #multi-tetrode recordings, #v1, #macaque
Code, URL, DOI, PDF, Dataset, BibTex
Decorrelated Neuronal Firing in Cortical Microcircuits
Science, 327(5965), 584-587, 2010
#noise correlations, #multi-tetrode recordings, #v1, #macaque
Code, URL, DOI, PDF, Dataset, BibTex
S. Bridle,
S. T. Balan,
M. Bethge,
M. Gentile,
S. Harmeling,
C. Heymans,
M. Hirsch,
R. Hosseini,
M. Jarvis,
D. Kirk,
T. Kitching,
K. Kuijken,
A. Lewis,
S. Paulin-Henriksson,
B. Schölkopf,
M. Velander,
L. Voigt,
D. Witherick,
A. Amara,
G. Bernstein,
F. Courbin,
M. Gill,
A. Heavens,
R. Mandelbaum,
R. Massey,
B. Moghaddam,
A. Rassat,
A. Refregier,
J. Rhodes,
T. Schrabback,
J. Shawe-Taylor,
M. Shmakova,
L. van Waerbeke, and
D. Wittman
Results of the GREAT08 Challenge: An image analysis competition for cosmological lensing
Monthly Notices of the Royal Astronomical Society, 2010
BibTex
Results of the GREAT08 Challenge: An image analysis competition for cosmological lensing
Monthly Notices of the Royal Astronomical Society, 2010
BibTex
S. Gerwinn,
J. Macke, and
M. Bethge
Bayesian inference for generalized linear models for spiking neurons
Frontiers in Computational Neuroscience, 4, 2010
#bayesian inference, #generalized linear model, #spiking neurons
Code, URL, DOI, PDF, BibTex
Bayesian inference for generalized linear models for spiking neurons
Frontiers in Computational Neuroscience, 4, 2010
#bayesian inference, #generalized linear model, #spiking neurons
Code, URL, DOI, PDF, BibTex
J. H. Macke,
S. Gerwinn,
L. White,
M. Kaschube, and
M. Bethge
Gaussian process methods for estimating cortical maps
NeuroImage, 56(2), 570-581, 2010
#gaussian process
Code, URL, DOI, PDF, BibTex
Gaussian process methods for estimating cortical maps
NeuroImage, 56(2), 570-581, 2010
#gaussian process
Code, URL, DOI, PDF, BibTex
S. Gerwinn,
J. Macke, and
M. Bethge
Bayesian population decoding of spiking neurons
Frontiers in Computational Neuroscience, 3, 2009
#population coding, #decoding
URL, DOI, PDF, BibTex
Bayesian population decoding of spiking neurons
Frontiers in Computational Neuroscience, 3, 2009
#population coding, #decoding
URL, DOI, PDF, BibTex
F. H. Sinz,
S. Gerwinn, and
M. Bethge
Characterization of the p-Generalized Normal Distribution
Journal of Multivariate Analysis, 100(5), 817-820, 2009
#p-generalized normal distribution, #uniqueness theorem, #power exponential distribution
URL, DOI, PDF, BibTex
Characterization of the p-Generalized Normal Distribution
Journal of Multivariate Analysis, 100(5), 817-820, 2009
#p-generalized normal distribution, #uniqueness theorem, #power exponential distribution
URL, DOI, PDF, 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
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
J. Macke,
P. Berens,
A. Ecker,
A. Tolias, and
M. Bethge
Generating Spike Trains with Specified Correlation-Coeffcients
Neural Computation, 2009
#spike train, #correlated poisson, #multivariate poisson, #noise correlations, #discretized gaussian
Code, PDF, BibTex
Generating Spike Trains with Specified Correlation-Coeffcients
Neural Computation, 2009
#spike train, #correlated poisson, #multivariate poisson, #noise correlations, #discretized gaussian
Code, PDF, BibTex
M. Seeger,
S. Gerwinn, and
M. Bethge
Bayesian Inference for Sparse Generalized Linear Models
Lecture Notes in Computer Science, 2007
BibTex
Bayesian Inference for Sparse Generalized Linear Models
Lecture Notes in Computer Science, 2007
BibTex
M. Bethge
Factorial coding of natural images: How effective are linear model in removing higher-order dependencies?
Journal of the Optical Society of America A , 2006
BibTex
Factorial coding of natural images: How effective are linear model in removing higher-order dependencies?
Journal of the Optical Society of America A , 2006
BibTex
G. Silberberg,
M. Bethge,
H. Markram,
K. Pawelzik, and
M. Tsodyks
Dynamics of population rate codes in ensembles of neocortical neurons
Journal of Neurophysiology, 2004
BibTex
Dynamics of population rate codes in ensembles of neocortical neurons
Journal of Neurophysiology, 2004
BibTex
M. Bethge,
D. Rotermund, and
K. Pawelzik
Optimal short-term population coding: when Fisher information fails
Neural Computation, 2002
#population coding, #fisher information
URL, DOI, PDF, BibTex
Optimal short-term population coding: when Fisher information fails
Neural Computation, 2002
#population coding, #fisher information
URL, DOI, PDF, BibTex
M. Bethge and
K. Pawelzik
Population Coding with Unreliable Spikes
Neurocomputing, 2002
#population coding
PDF, BibTex
Population Coding with Unreliable Spikes
Neurocomputing, 2002
#population coding
PDF, BibTex
J. Benda,
M. Bethge,
M. Henning,
K. Pawelzik, and
A. Herz
Spike-frequency adaptation: Phenomenological model and experimental tests
Neurocomputing, 2001
BibTex
Spike-frequency adaptation: Phenomenological model and experimental tests
Neurocomputing, 2001
BibTex
M. Bethge and
K. Pawelzik
Synchonous inhibition as a mechanism for unbiased selective gain control
Neurocomputing, 2001
BibTex
Synchonous inhibition as a mechanism for unbiased selective gain control
Neurocomputing, 2001
BibTex
M. Bethge,
K. Pawelzik, and
T. Geisel
Brief pauses as signals for depressing synapses
Neurocomputing, 1999
BibTex
Brief pauses as signals for depressing synapses
Neurocomputing, 1999
BibTex
Conference Papers
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
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
R. Häfner and
M. Bethge
Evaluating neuronal codes for inference using Fisher information
Advances in Neural Information Processing Systems 23, 2010
#population coding, #fisher information
PDF, BibTex
Evaluating neuronal codes for inference using Fisher information
Advances in Neural Information Processing Systems 23, 2010
#population coding, #fisher information
PDF, 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, 1696-1704, 2009
#natural image statistics, #ica, #lp-spherically symmetric distributions, #nu-spherical symmetric distributions
Code, PDF, BibTex
Hierarchical Modeling of Local Image Features through Lp-Nested Symmetric Distributions
Advances in Neural Information Processing Systems 22, 1696-1704, 2009
#natural image statistics, #ica, #lp-spherically symmetric distributions, #nu-spherical symmetric distributions
Code, PDF, BibTex
J. H. Macke,
S. Gerwinn,
M. Kaschube,
L. E. White, and
M. Bethge
Bayesian estimation of orientation preference maps
Advances in Neural Information Processing Systems 22, 2009
#bayesian inference, #orientation maps
Code, PDF, BibTex
Bayesian estimation of orientation preference maps
Advances in Neural Information Processing Systems 22, 2009
#bayesian inference, #orientation maps
Code, PDF, BibTex
S. Gerwinn,
P. Berens, and
M. Bethge
A joint maximum-entropy model for binary neural population patterns and continuous signals
Advances in Neural Information Processing Systems 22, 2009
#maximum entropy, #population coding
Code, PDF, BibTex
A joint maximum-entropy model for binary neural population patterns and continuous signals
Advances in Neural Information Processing Systems 22, 2009
#maximum entropy, #population coding
Code, PDF, BibTex
P. Berens,
S. Gerwinn,
S. Ecker, and
M. Bethge
Neurometric function analysis of population codes
Advances in Neural Information Processing Systems 22, 2009
#population coding, #neurometric function
Code, PDF, BibTex
Neurometric function analysis of population codes
Advances in Neural Information Processing Systems 22, 2009
#population coding, #neurometric function
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
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
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Advances in Neural Information Processing Systems 21, 1521-1528, 2008
#contrast gain control, #normative models, #natural image statistics, #lp-spherically symmetric distributions
Code, PDF, BibTex
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Advances in Neural Information Processing Systems 21, 1521-1528, 2008
#contrast gain control, #normative models, #natural image statistics, #lp-spherically symmetric distributions
Code, PDF, BibTex
J. H. Macke,
G. Zeck, and
M. Bethge
Receptive Fields without Spike-Triggering
Advances in Neural Information Processing Systems 20, 2008
#receptive fields, #retina, #population coding
PDF, BibTex
Receptive Fields without Spike-Triggering
Advances in Neural Information Processing Systems 20, 2008
#receptive fields, #retina, #population coding
PDF, BibTex
S. Gerwinn,
J. Macke,
M. Seeger, and
M. Bethge
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Advances in Neural Information Processing Systems 20, 2008
PDF, BibTex
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Advances in Neural Information Processing Systems 20, 2008
PDF, BibTex
M. Bethge and
C. Kayser
Do We Know What the Early Visual System Computes?
Proceedings of the 31st Göttingen Neurobiology Conference, 2007
BibTex
Do We Know What the Early Visual System Computes?
Proceedings of the 31st Göttingen Neurobiology Conference, 2007
BibTex
M. Bethge,
S. Gerwinn, and
J. H. Macke
Unsupervised learning of a steerable basis for invariant image representations
Proceedings of SPIE Human Vision and Electronic Imaging XII (EI105), 2007
PDF, BibTex
Unsupervised learning of a steerable basis for invariant image representations
Proceedings of SPIE Human Vision and Electronic Imaging XII (EI105), 2007
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
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
M. Bethge,
D. Rotermund, and
K. Pawelzik
Optimal neural rate coding leads to bimodal firing rate distributions
Network: Computation in Neural Systems, 2003
#population coding
PDF, BibTex
Optimal neural rate coding leads to bimodal firing rate distributions
Network: Computation in Neural Systems, 2003
#population coding
PDF, BibTex
M. Bethge,
D. Rotermund, and
K. Pawelzik
Binary Tuning is Optimal for Neural Rate Coding with High Temporal Resolution
Advances in Neural Information Processing Systems 15, 2002
BibTex
Binary Tuning is Optimal for Neural Rate Coding with High Temporal Resolution
Advances in Neural Information Processing Systems 15, 2002
BibTex
Technical Reports
R. Hosseini and
M. Bethge
Spectral Stacking: Unbiased Shear Estimation for Weak Gravitational Lensing
2009
PDF, BibTex
Spectral Stacking: Unbiased Shear Estimation for Weak Gravitational Lensing
2009
PDF, BibTex
J. Macke,
M. Opper, and
M. Bethge
The effect of pairwise neural correlations on global population statistics
2009
PDF, BibTex
The effect of pairwise neural correlations on global population statistics
2009
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
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
Book Chapters
M. Bethge
Der kollektiven Signalverarbeitung von Nervenzellen auf der Spur
Max-Planck Jahrbuch, 2008
BibTex
Der kollektiven Signalverarbeitung von Nervenzellen auf der Spur
Max-Planck Jahrbuch, 2008
BibTex
Abstracts
L. Theis,
D. Arnstein,
A. M. Chagas,
C. Schwarz, and
M. Bethge
Beyond GLMs: a generative mixture modeling approach to neural system identification
Computational and Systems Neuroscience, 2013
#generalized linear model, #spiking neurons, #mixture models
Poster, BibTex
Beyond GLMs: a generative mixture modeling approach to neural system identification
Computational and Systems Neuroscience, 2013
#generalized linear model, #spiking neurons, #mixture models
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
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,
D. Arnstein,
A. M. Chagas,
C. Schwarz, and
M. Bethge
Beyond GLMs: a generative mixture modeling approach to neural system identification
Frontiers in Computational Neuroscience, 2012
#generalized linear model, #spiking neurons, #mixture models
URL, DOI, Poster, BibTex
Beyond GLMs: a generative mixture modeling approach to neural system identification
Frontiers in Computational Neuroscience, 2012
#generalized linear model, #spiking neurons, #mixture models
URL, DOI, Poster, BibTex
J.-P. Lies,
R. M. Häfner, and
M. Bethge
Slow Subspace Analysis: a New Algorithm for Invariance Learning
Neurowissenschaftliche Nachwuchskonferenz (NeNa), 2011
PDF, BibTex
Slow Subspace Analysis: a New Algorithm for Invariance Learning
Neurowissenschaftliche Nachwuchskonferenz (NeNa), 2011
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
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
J.-P. Lies,
R. Häfner, and
M. Bethge
What is the Goal of Complex Cell Coding in V1?
AREADNE 2010: Research in Encoding And Decoding of Neural Ensembles, 2010
BibTex
What is the Goal of Complex Cell Coding in V1?
AREADNE 2010: Research in Encoding And Decoding of Neural Ensembles, 2010
BibTex
J.-P. Lies,
R. Häfner, and
M. Bethge
What is the Goal of Complex Cell Coding in V1?
Frontiers in Computational Neuroscience, 2010
DOI, BibTex
What is the Goal of Complex Cell Coding in V1?
Frontiers in Computational Neuroscience, 2010
DOI, BibTex
A. Ecker,
P. Berens,
G. Keliris,
M. Bethge,
N. Logothetis, and
A. Tolias
Decorrelated Firing in Cortical Microcircuits
AREADNE 2010: Research in Encoding And Decoding of Neural Ensembles, 2010
BibTex
Decorrelated Firing in Cortical Microcircuits
AREADNE 2010: Research in Encoding And Decoding of Neural Ensembles, 2010
BibTex
A. Ecker,
P. Berens,
G. Keliris,
M. Bethge,
N. Logothetis, and
A. Tolias
Decorrelated neuronal firing in cortical microcircuits
40th Annual Meeting of the Society for Neuroscience (Neuroscience 2010), 2010
BibTex
Decorrelated neuronal firing in cortical microcircuits
40th Annual Meeting of the Society for Neuroscience (Neuroscience 2010), 2010
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
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
Likelihood Estimation in Deep Belief Networks
Frontiers in Computational Neuroscience, 2010
#deep belief networks, #likelihood estimation, #natural image statistics
Code, URL, DOI, BibTex
R. Hosseini and
M. Bethge
Hierachical Models of Natural Images
Frontiers in Computational Neuroscience, 2009
#gaussianization, #multilayer, #ica
URL, BibTex
Hierachical Models of Natural Images
Frontiers in Computational Neuroscience, 2009
#gaussianization, #multilayer, #ica
URL, BibTex
J.-P. Lies,
J. Wang,
J. Sohl-Dickstein,
B. Olshausen, and
M. Bethge
Unsupervised learning of disparity maps from stereo images
Frontiers in Computational Neuroscience, 2009
DOI, BibTex
Unsupervised learning of disparity maps from stereo images
Frontiers in Computational Neuroscience, 2009
DOI, BibTex
P. Berens,
J. Macke,
A. Ecker,
R. Cotton,
M. Bethge, and
A. Tolias
Sensory input statistics and network mechanisms in primate primary visual cortex
Frontiers in Systems Neuroscience, 2009
DOI, BibTex
Sensory input statistics and network mechanisms in primate primary visual cortex
Frontiers in Systems Neuroscience, 2009
DOI, 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
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
T. Putzeys,
R. Goris,
J. Wagemans, and
M. Bethge
Inferring characteristics of stimulus encoding mechanisms using rippled noise stimuli
Journal of Vision, 2009
URL, DOI, BibTex
Inferring characteristics of stimulus encoding mechanisms using rippled noise stimuli
Journal of Vision, 2009
URL, DOI, BibTex
M. Bethge and
R. Hosseini
Method and Device for Image Compression
Europäisches Patentamt, 2008
#mixture, #image compression
URL, BibTex
Method and Device for Image Compression
Europäisches Patentamt, 2008
#mixture, #image compression
URL, BibTex
J.-P. Lies and
M. Bethge
Image library for unsupervised learning of depth from stereo.
Frontiers in Computational Neuroscience, 2008
DOI, BibTex
Image library for unsupervised learning of depth from stereo.
Frontiers in Computational Neuroscience, 2008
DOI, BibTex
P. Berens,
A. Ecker,
M. Subramaniyan,
J. Macke,
P. Hauck,
M. Bethge, and
A. Tolias
Pairwise Correlations and Multineuronal Firing Patterns in the Primary Visual Cortex of the Awake, Behaving Macaque
AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, 2008
BibTex
Pairwise Correlations and Multineuronal Firing Patterns in the Primary Visual Cortex of the Awake, Behaving Macaque
AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, 2008
BibTex
M. Bethge,
J. Macke,
P. Berens,
A. Ecker, and
A. Tolias
Flexible Models for Population Spike Trains
AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, 2008
BibTex
Flexible Models for Population Spike Trains
AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, 2008
BibTex
A. Ecker,
P. Berens,
A. Hoenselaar,
M. Subramaniyan,
A. Tolias, and
M. Bethge
Towards the neural basis of the flash-lag effect
International Workshop on Aspects of Adaptive Cortex Dynamics, 2008
BibTex
Towards the neural basis of the flash-lag effect
International Workshop on Aspects of Adaptive Cortex Dynamics, 2008
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
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
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
A. Ecker,
P. Berens,
M. Bethge,
N. Logothetis, and
A. Tolias
Studying the effects of noise correlations on population coding using a sampling method
Neural Coding, Computation and Dynamics (NCCD 07), 2007
BibTex
Studying the effects of noise correlations on population coding using a sampling method
Neural Coding, Computation and Dynamics (NCCD 07), 2007
BibTex
J. H. Macke,
G. Zeck, and
M. Bethge
Estimating Population Receptive Fields in Space and Time
Proceedings of the Computational and Systems Neuroscience Meeting 2007 (COSYNE), 2007
BibTex
Estimating Population Receptive Fields in Space and Time
Proceedings of the Computational and Systems Neuroscience Meeting 2007 (COSYNE), 2007
BibTex
S. Gerwinn,
M. Seeger,
G. Zeck, and
M. Bethge
Bayesian Neural System identification: error bars, receptive fields and neural couplings
Proceedings of the 31st Göttingen Neurobiology Conference, 2007
#bayesian inference, #receptive fields
PDF, BibTex
Bayesian Neural System identification: error bars, receptive fields and neural couplings
Proceedings of the 31st Göttingen Neurobiology Conference, 2007
#bayesian inference, #receptive fields
PDF, BibTex
M. Bethge,
J. H. Macke,
S. Gerwinn, and
G. Zeck
Identifying temporal population codes in the retina using canonical correlation analysis
Proceedings of the 31st Göttingen Neurobiology Conference, 2007
BibTex
Identifying temporal population codes in the retina using canonical correlation analysis
Proceedings of the 31st Göttingen Neurobiology Conference, 2007
BibTex
A. S. Ecker,
P. Berens,
M. Bethge,
N. K. Logothetis, and
A. S. Tolias
Studying the effects of noise correlations on population coding using a sampling method
Neural Coding, Computation and Dynamics, 2007
BibTex
Studying the effects of noise correlations on population coding using a sampling method
Neural Coding, Computation and Dynamics, 2007
BibTex
P. Berens and
M. Bethge
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Neural Coding, Computation and Dynamics, 2007
BibTex
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Neural Coding, Computation and Dynamics, 2007
BibTex
