Subramaniyan, M.; Ecker, A.; Patel, S.; Cottonq, R.; Bethge, M.; Pitkow, X.; Berens, P.; Tolias, A.: Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion. Journal of Neurophysiology 120 (5), S. 2430 - 2452 (2018)
Mathis, A.; Mamidanna, P.; Cury, A.; Abe, T.; Murthy, V.; Mathis, M.; Bethge, M.: DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nature Neuroscience 21 (9), S. 1281 - 1289 (2018)
Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: Image content is more important than Bouma's Law for scene metamers. - (eingereicht)
Mathis, A.; Mamidanna, P.; Abe, T.; Cury, K.; Murthy, V.; Mathis, M.; Bethge, M.: Markerless tracking of user-defined features with deep learning. - (eingereicht)
Nonnenmacher, M.; Behrens, C.; Berens, P.; Bethge, M.; Macke, J.: Signatures of criticality arise from random subsampling in simple population models. PLoS Computational Biology (2017)
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)
Ecker, A.; Denfield, G.; Bethge, M.; Tolias, A.: On the Structure of Neuronal Population Activity under Fluctuations in Attentional State. 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)
Panzeri, S.; Macke, J.; Gross, J.; Kayser, C.: Neural population coding: combining insights from microscopic and mass signals. Trends in Cognitive Sciences 19 (3), S. 162 - 172 (2015)
Fründ, I.; Wichmann, F.; Macke, J.: Quantifying the effect of intertrial dependence on perceptual decisions. Journal of Vision 14 (7:9), S. 1 - 16 (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 (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 (2013)
Berens, P.; Ecker, A.; Cotton, R.; Ma, W.; Bethge, M.; Tolias, A.: A Fast and Simple Population Code for Orientation in Primate V1. Journal of Neuroscience 32 (31), S. 10618 - 10626 (2012)
Schwartz, G.; Macke, J.; Amodei, D.; Tang, H.; Berry II, M.: Low Error Discrimination using a Correlated Population Code. Journal of Neurophysiology 108 (4), S. 1069 - 1088 (2012)
Putzeys, T.; Bethge, M.; Wichmann, F.; Wagemans, J.; Goris, R.: A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses. PLoS Computational Biology (2012)
Theis, L.; Gerwinn, S.; Sinz, F.; Bethge, M.: In All Likelihood, Deep Belief Is Not Enough. The Journal of Machine Learning Research 12, S. 3071 - 3096 (2011)
Ecker, A.; Berens, P.; Tolias, A.; Bethge, M.: The effect of noise correlations in populations of diversely tuned neurons. The Journal of Neuroscience 31 (40), S. 14272 - 14283 (2011)
Macke, J.; Opper, M.; Bethge, M.: Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity. Physical Review Letters 106 (20), 208102, S. 1 - 4 (2011)
Berens, P.; Ecker, A.; Gerwinn, S.; Tolias, A.; Bethge, M.: Reassessing optimal neural population codes with neurometric functions. Proceedings of the National Academy of Sciences of the United States of America 108 (11), S. 4423 - 4428 (2011)