Publikationen von M Bethge

Wallis, T.; Bethge, M.; Wichmann, F.: Testing models of peripheral encoding using metamerism in an oddity paradigm. Journal of Vision 16 (2), 4, S. 1 - 30 (2016)

Cadwell, C.; Palasantza, A.; Jiang, X.; Berens, P.; Deng, Q.; Yilmaz, M.; Reimer, J.; Shen, S.; Bethge, M.; Tolias, K. et al.; Sandberg, R.; Tolias, A.: Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq. Nature Biotechnology 34 (2), S. 199 - 203 (2016)

Ecker, A.; Denfield, G.; Bethge, M.; Tolias, A.: On the Structure of Neuronal Population Activity under Fluctuations in Attentional State. The Journal of Neuroscience 36 (5), S. 1775 - 1789 (2016)

Baden, T.; Berens, P.; Franke, K.; Román Rosón, M.; Bethge, M.; Euler, T.: The functional diversity of retinal ganglion cells in the mouse. Nature 529 (7586), S. 345 - 350 (2016)

Kümmerer, M.; Wallis, T.; Bethge, M.: Information-theoretic model comparison unifies saliency metrics. Proceedings of the National Academy of Sciences of the United States of America 112 (52), S. 16054 - 16059 (2015)

Gatys, L.; Ecker, A.; Bethge, M.: A Neural Algorithm of Artistic Style. Nature Communications submitted (2015)

Gatys, L.; Ecker, A.; Tchumatchenko, T.; Bethge, M.: Synaptic unreliability facilitates information transmission in balanced cortical populations. Physical Review E 91, 062707, S. 1 - 7 (2015)

Lüdtke, N.; Das, D.; Theis, L.; Bethge, M.: A Generative Model of Natural Texture Surrogates. - submitted (2015)

Sinz, F.; Lies, J.-P.; Gerwinn, S.; Bethge, M.: Natter: A Python Natural Image Statistics Toolbox. Journal of Statistical Software 61 (5), S. 1 - 34 (2014)

Froudarakis, E.; Berens, P.; Ecker, A.; Cotton, R.; Sinz, F.; Yatsenko, D.; Saggau, P.; Bethge, M.; Tolias, A.: Population code in mouse V1 facilitates readout of natural scenes through increased sparseness. Nature Neuroscience 17 (6), S. 851 - 857 (2014)

Ecker, A.; Berens, P.; Cotton, R.; Subramaniyan, M.; Denfield, G.; Cadwell, C.; Smirnakis, S.; Bethge, M.; Tolias, A.: State Dependence of Noise Correlations in Macaque Primary Visual Cortex. Neuron 82 (1), S. 235 - 248 (2014)

Lies, J.-P.; Häfner, R.; Bethge, M.: Slowness and sparseness have diverging effects on complex cell learning. PLoS Computational Biology 10 (3), S. 1 - 11 (2014)

Gerhard, H.; Bethge, M.: Towards Rigorous Study of Artistic Style: A New Psychophysical Paradigm. Art & Perception 2 (1-2), S. 23 - 44 (2014)

Chagas, A.; Theis, L.; Sengupta, B.; Stüttgen, M.; Bethge, M.; Schwarz, C.: Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents. Frontiers in Neural Circuits 7, 190, S. 1 - 17 (2013)

Sinz, F.; Bethge, M.: What Is the Limit of Redundancy Reduction with Divisive Normalization? Neural Computation 25 (11), S. 2809 - 2814 (2013)

Theis, L.; Chagas , A.; Arnstein, D.; Schwarz, C.; Bethge, M.: Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification. PLoS Computational Biology 9 (11), S. 1 - 9 (2013)

Haefner, R.; Gerwinn, S.; Macke, J.; Bethge, M.: Inferring decoding strategies from choice probabilities in the presence of correlated variability. Nature Neuroscience 16 (2), S. 235 - 242 (2013)

Baden, T.; Berens, P.; Bethge, M.; Euler, T.: Spikes in Mammalian Bipolar Cells Support Temporal Layering of the Inner Retina. Current Biology 23 (1), S. 48 - 52 (2013)

Gerhard, H.; Wichmann, F.; Bethge, M.: How sensitive is the human visual system to the local statistics of natural images? PLoS Computational Biology 9 (1), e1002873 (2013)

Sinz, F.; Bethge, M.: Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images. PLoS Computational Biology 9 (1), S. 1 - 13 (2013)