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A. S. Ecker, G. H. Denfield, M. Bethge, and A. S. Tolias
On the Structure of Neuronal Population Activity under Fluctuations in Attentional State
Journal of Neuroscience, 36(5), 1775-1789, 2016
#attention, #gain modulation, #noise correlations, #population coding
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L. A. Gatys, A. S. Ecker, T. Tchumatchenko, and M. Bethge
Synaptic unreliability facilitates information transmission in balanced cortical populations
Physical Review E, 91(6), 62707, 2015
#synaptic noise, #balanced state, #neural population coding
Code, URL, DOI, PDF, BibTex
A. S. Ecker, P. Berens, R. J. Cotton, M. Subramaniyan, G. H. Denfield, C. R. Cadwell, S. M. Smirnakis, M. Bethge, et al.
State dependence of noise correlations in macaque primary visual cortex
Neuron, 82(1), 235-248, 2014
#noise correlations, #gpfa, #population, #anesthesia, #macaque
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L. Theis, A. M. Chagas, D. Arnstein, C. Schwarz, and M. Bethge
Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification
PLoS Computational Biology, 9(11), 2013
#generalized linear model, #spiking neurons, #mixture models
Code, 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
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
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 coding, #orientation, #v1, #macaque, #logistic regression, #multi-tetrode recordings, #noise correlations
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, #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
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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, #orientation
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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
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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
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
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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
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
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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
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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
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
P. Berens, S. Gerwinn, A. 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
P. Berens
CircStat: A Matlab Toolbox for Circular Statistics
Journal of Statistical Software, 2009
#circular statistics, #directional statistics, #software, #matlab
Code, URL, 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
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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
University of Tuebingen BCCN CIN MPI