_{Publications:
Computational Vision and Neuroscience} 

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), pp. 16054 - 16059 (2015)

Jiang, X.; Shen, S.; Cadwell, C.; Berens, P.; Sinz, F.; Ecker, A.; Patel, S.; Tolias, A.: Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350 (6264), pp. aac9462-1 - aac9462-10 (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, pp. 1 - 7 (2015)

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

Yatsenko, D.; Josić, K.; Ecker, A.; Froudarakis, E.; Cotton, R.; Tolias, A.: Improved Estimation and Interpretation of Correlations in Neural Circuits. PLoS Computational Biology 11 (3) (2015)

Küffner, R.; Zach, N.; Norel, R.; Hawe, J.; Schoenfeld, D.; Wang, L.; Li, G.; Fang, L.; Mackey, L.; Hardiman, O. et al.; Cudkowicz, M.; Sherman, A.; Ertaylan, G.; Grosse-Wentrup, M.; Hothorn, T.; van Ligtenberg, J.; Macke, J.; Meyer, T.; Schölkopf, B.; Tran, L.; Vaughan, R.; Stolovitzky, G.; Leitner, M.: Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression. Nature Biotechnology 33 (1), pp. 51 - 57 (2015)

Park, M.; Macke, J.: Hierarchical models for neural population dynamics in the presence of non-stationarity. - submitted (2015)

Bassetto, G.; Macke, J.: Electrophysiology Analysis, Bayesian. In: Encyclopedia of Computational Neuroscience, pp. 1078 - 1082 (Eds. Jaeger, D.; Jung, R.). Springer, New York, NY, USA (2015)

Bethge, M.: Efficient Population Coding. In: Encyclopedia of Computational Neuroscience, pp. 1063 - 1070 (Eds. Jaeger, D.; Jung, R.). Springer, New York, NY, USA (2015)

Macke, J.; Buesing, L.; Sahani, M.: Estimating State and Parameters in State Space Models of Spike Trains. In: Advanced State Space Methods for Neural and Clinical Data, pp. 137 - 159 (Ed. Chen, Z.). Cambridge University Press, Cambridge, UK (2015)

Archer, E.; Koster, U.; Pillow, J.; Macke, J.: Low-dimensional models of neural population activity in sensory cortical circuits. In: Advances in Neural Information Processing Systems 27, pp. 343 - 351 (Eds. Ghahramani, Z.; Welling, M.; Cortes, C.; Lawrence, N.D.; Weinberger, K.Q.). Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS 2014), Montréal, Quebec, Canada. Curran, Red Hook, NY, USA (2015)

Putzky, P.; Franzen, F.; Bassetto, G.; Macke, J.: A Bayesian model for identifying hierarchically organised states in neural population activity. In: Advances in Neural Information Processing Systems 27, pp. 3095 - 3103 (Eds. Ghahramani, Z.; Welling, M.; Cortes, C.; Lawrence, N. D.; Weinberger, K. Q.). Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS 2014), Montréal, Quebec, Canada. Curran, Red Hook, NY, USA (2015)

Denfield, G.; Ecker, A.; Tolias, A.: Correlated variability in population activity: noise or signature of internal computations? In 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), 372.05. 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), Chicago, IL, USA. (2015)

Nonnenmacher, M.; Behrens, C.; Berens, P.; Bethge, M.; Macke, J.: Correlations and signatures of criticality in neural population models. In Bernstein Conference 2015, C2, pp. 27 - 28. Bernstein Conference 2015, Heidelberg, Germany, September 15, 2015 - September 17, 2015. (2015)

Gatys, L.; Ecker, A.; Tchumatchenko, T.; Bethge, M.: Synaptic unreliability facilitates information transmission in balanced cortical populations. In . 79. Jahrestagung der Deutschen Physikalischen Gesellschaft und DPG-Frühjahrstagung, Berlin, Germany. (2015)

Bethge, M.: Let's compete: Benchmarking models in neuroscience. NIPS 2015 Workshop on Statistical Methods for Understanding Neural Systems, Montréal, Canada (2015)

Macke, J.: Correlations and signatures of criticality in neural population models. NIPS 2015 Workshop: Modelling and Inference for Dynamics on Complex Interaction Networks: Joining Up Machine aqnd Statistical Physics, Montréal, Canada (2015)

Bethge, M.: Perceiving Neural Networks. Max Planck ETH Center for Learning Systems Inauguration, Tübingen, Germany (2015)

Bethge, M.: Understanding biological and artificial neural networks. 5th Bernstein Sparks Workshop: Neural models of decision making in natural inference tasks - from theory to experiment, Tübingen, Germany (2015)

Kümmerer, M.: Jumping ahead from 1/3 to 1/2 of understanding image based saliency. Institute for Neural Computation: Qualcomm/Brain Corporation/INC Computational Neuroscience Seminar Series, San Diego, CA, USA (2015)

Macke, J.: Dissecting choice-probabilities in V2 neurons using serial dependence. COSYNE 2015 Workshops, Snowbird, UT, USA (2015)

Nonnenmacher, M.; Behrens, C.; Berens, P.; Bethge, M.; Macke, J.: Correlations and signatures of criticality in neural population models. 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), Chicago, IL, USA (2015)

Cotton, J.; Ecker, A.; Froudarakis, E.; Berens, P.; Bethge, M.; Saggau, P.; Tolias, A.: Scaling of information in large sensory neuronal populations. 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), Chicago, IL, USA (2015)

Cadwell, C.; Jiang, X.; Berens, P.; Fahey, P.; Yatsenko, D.; Froudarakis, E.; Ecker, A.; Tolias, A.: Sibling rivalry and cooperation among excitatory neurons in the neocortex. 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), Chicago, IL, USA (2015)

Bassetto, G.; Sandhaeger, F.; Ecker, A.; Macke, J.: A statistical characterization of neural population responses in V1. Bernstein Conference 2015, Heidelberg, Germany (2015)

Ecker, A.; Denfield, G.; Tolias, A.; Bethge, M.: On the structure of population activity under fluctuations in attentional state. Bernstein Conference 2015, Heidelberg, Germany (2015)

Gatys, L.; Ecker, A.; Bethge, M.: Texture synthesis and the controlled generation of natural stimuli using convolutional neural networks. Bernstein Conference 2015, Heidelberg, Germany (2015)

Schütt, H.; Harmeling, S.; Macke, J.; Wichmann, F.: Psignifit 4: Pain-free Bayesian Inference for Psychometric Functions. 15th Annual Meeting of the Vision Sciences Society (VSS 2015), St. Pete Beach, FL, USA (2015)

Baden, T.; Franke, K.; Pop, S.; Roson, M.; Kemmler, R.; Berens, P.; Bethge, M.; Schubert, T.; Euler, T.: Following the visual signal across the entire mouse retina: From cone calcium to ganglion cell spikes. 11th Göttingen Meeting of the German Neuroscience Society, 35th Göttingen Neurobiology Conference, Göttingen, Germany (2015)

Franke, K.; Baden, T.; Berens, P.; Rezac, M.; Bethge, M.; Euler, T.: What the mouse eye tells the mouse brain: Fingerprinting the retinal ganglion cell types of the mouse retina. 11th Göttingen Meeting of the German Neuroscience Society, 35th Göttingen Neurobiology Conference, Göttingen, Germany (2015)

Roson, M.; Euler, T.; Berens, P.; Busse, L.: Functional characterization of the signal processing chain in the mouse early visual system. 11th Göttingen Meeting of the German Neuroscience Society, 35th Göttingen Neurobiology Conference, Göttingen, Germany (2015)

Nonnenmacher, M.; Behrens, C.; Berens, P.; Bethge, M.; Macke, J.: Correlations and signatures of criticality in neural population models. Computational and Systems Neuroscience Meeting (COSYNE 2015), Salt Lake City, UT, USA (2015)