Macke, J.; Gerwinn, S.; White, L.; Kaschube, M.; Bethge, M.: Gaussian process methods for estimating cortical maps. NeuroImage 56 (2), pp. 570 - 581 (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, pp. 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), pp. 4423 - 4428 (2011)

Gerwinn, S.; Macke, J.; Bethge, M.: Reconstructing stimuli from the spike-times of leaky integrate and fire neurons. Frontiers in Neuroscience 5 (1), pp. 1 - 16 (2011)

Sinz, F.; Bethge, M.: Lp-Nested Symmetric Distributions. The Journal of Machine Learning Research 11, pp. 3409 - 3451 (2010)

Berens, P.; Logothetis, N.; Tolias, A.: Local field potentials, BOLD and spiking activity: Relationships and physiological mechanisms. Nature Precedings 2010, pp. 1 - 27 (2010)

Lyamzin, D.; Macke, J.; Lesica, N.: Modeling population spike trains with specified time-varying spike rates, trial-to-trial variability, and pairwise signal and noise correlations. Frontiers in Computational Neuroscience 4, 144, pp. 1 - 11 (2010)

Hosseini, R.; Sinz, F.; Bethge, M.: Lower bounds on the redundancy of natural images. Vision Research 50 (22), pp. 2213 - 2222 (2010)

Lüdtke, N.; Logothetis, N.; Panzeri, S.: Testing methodologies for the nonlinear analysis of causal relationships in neurovascular coupling. Magnetic Resonance Imaging 28 (8), pp. 1113 - 1119 (2010)

Bridle, S.; Balan, S.; Bethge, M.; Gentile, M.; Harmeling, S.; Heymans, C.; Hirsch, M.; Hosseini, R.; Jarvis, M.; Kirk, D. et al.; Kitching, T.; Kuijken, K.; Lewis, A.; Paulin-Henriksson, S.; Schölkopf, B.; Velander, M.; Voigt, L.; Witherick, D.; Amara, A.; Bernstein, G.; Courbin, F.; Gill, M.; Heavens, A.; Mandelbaum, R.; Massey, R.; Moghaddam, B.; Rassat, A.; Refregier, A.; Rhodes, J.; Schrabback, T.; Shaw-Taylor, J.; Shmakova, M.; van Waerbeke, L.; Wittman, D.: Results of the GREAT08 Challenge: An image analysis competition for cosmological lensing. Monthly Notices of the Royal Astronomical Society 405 (3), pp. 2044 - 2061 (2010)

Macke, J.; Wichmann, F.: Estimating predictive stimulus features from psychophysical data: The decision image technique applied to human faces. Journal of Vision 10 (5), 22, pp. 1 - 24 (2010)

Gerwinn, S.; Macke, J.; Bethge, M.: Bayesian inference for generalized linear models for spiking neurons. Frontiers in Computational Neuroscience 4, 12, pp. 1 - 17 (2010)

Ecker, A.; Berens, P.; Keliris, G.; Bethge, M.; Logothetis, N.; Tolias, A.: Decorrelated Neuronal Firing in Cortical Microcircuits. Science 327 (5965), pp. 584 - 587 (2010)

Gerwinn, S.; Macke, J.; Bethge, M.: Bayesian population decoding of spiking neurons. Frontiers in Computational Neuroscience 3, 21, pp. 1 - 28 (2009)

Berens, P.: CircStat: A Matlab Toolbox for Circular Statistics. Journal of statistical software 31 (10), pp. 1 - 21 (2009)

Wallraven, C.; Fleming, R.; Cunningham, D.; Rigau , J.; Feixas, M.; Sbert, M.: Categorizing art: Comparing humans and computers. Computers and Graphics 33 (4), pp. 484 - 495 (2009)

Sinz, F.; Gerwinn, S.; Bethge, M.: Characterization of the p-Generalized Normal Distribution. Journal of Multivariate Analysis 100 (5), pp. 817 - 820 (2009)

Eichhorn, J.; Sinz, F.; Bethge, M.: Natural Image Coding in V1: How Much Use is Orientation Selectivity? PLoS Computational Biology 5 (4), pp. 1 - 16 (2009)

Macke, J.; Berens, P.; Ecker, A.; Tolias, A.; Bethge, M.: Generating Spike Trains with Specified Correlation Coefficients. Neural computation 21 (2), pp. 397 - 423 (2009)

Wiecki, T.; Riedinger, K.; Ameln-Mayerhofer, A.; Schmidt, W.; Frank, M.: A neurocomputational account of catalepsy sensitization induced by D2 receptor blockade in rats: context dependency, extinction, and renewal. Psychopharmacology 204 (2), pp. 265 - 277 (2009)

Berens, P.; Keliris, G.; Ecker, A.; Logothetis, N.; Tolias, A.: Feature selectivity of the gamma-band of the local field potential in primate primary visual cortex. Frontiers in Neuroscience 2 (2), pp. 199 - 207 (2008)

Ku, S.-P.; Gretton, A.; Macke, J.; Logothetis, N.: Comparison of Pattern Recognition Methods in Classifying High-resolution BOLD Signals Obtained at High Magnetic Field in Monkeys. Magnetic Resonance Imaging 26 (7), pp. 1007 - 1014 (2008)

Berens, P.; Keliris, G.; Ecker, A.; Logothetis, N.; Tolias, A.: Comparing the feature selectivity of the gamma-band of the local field potential and the underlying spiking activity in primate visual cortex. Frontiers in Systems Neuroscience 2 (2), pp. 1 - 11 (2008)

Drewing, K.; Wiecki, T.; Ernst, M.: Material Properties Determine How Force and Position Signals Combine in Haptic Shape Perception. Acta Psychologica 128 (2), pp. 264 - 273 (2008)

Macke, J.; Maack, N.; Gupta, R.; Denk, W.; Schölkopf, B.; Borst, A.: Contour-propagation Algorithms for Semi-automated Reconstruction of Neural Processes. Journal of Neuroscience Methods 167 (2), pp. 349 - 357 (2008)

Tolias, A.; Ecker, A.; Siapas, A.; Hoenselaar, A.; Keliris, G.; Logothetis, N.: Recording Chronically from the same Neurons in Awake, Behaving Primates. Journal of Neurophysiology 98 (6), pp. 3780 - 3790 (2007)

Bethge, M.: Der kollektiven Signalverarbeitung von Nervenzellen auf der Spur. Jahrbuch der Max-Planck-Gesellschaft 2007, pp. 1 - 6 (2007)

Bethge, M.: Efficient Population Coding. In: Encyclopedia of Computational Neuroscience, pp. 1257 - 1264 (Eds. Jaeger, D.; Jung, R.). Springer, New York, NY, USA (2022)

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)

Berens, P.; Logothetis, N.; Tolias, A.: Local Field Potentials, BOLD, and Spiking Activity: Relationsships and Physiological Mechanisms. In: Visual population codes: toward a common multivariate framework for cell recording and functional imaging, 22, pp. 599 - 624 (Eds. Kriegeskorte, N.; Kreiman, G.). MIT Press, Cambridge, MA, USA (2012)

Collobert, R.; Sinz, F.; Weston, J.; Bottou, L.: Trading Convexity for Scalability. In: Large Scale Kernel Machines, pp. 275 - 300 (Eds. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)

Brendel, W.; Rauber, J.; Kümmerer, M.; Ustyuzhaninov, I.; Bethge, M.: Accurate, reliable and fast robustness evaluation. In: Advances in Neural Information Processing Systems 32, pp. 12817 - 12827 (Eds. Wallach, H.; Larochelle, H.; Beygelzimer , A.; d'Alché-Buc, F.; Fox, E. et al.). Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, December 09, 2019 - December 13, 2019. Curran, Red Hook, NY, USA (2020)

Geirhos, R.; Medina Temme, C.; Rauber, J.; Schuett, H.; Bethge, M.; Wichmann, F.: Generalisation in humans and deep neural networks. In: Advances in Neural Information Processing Systems 31, pp. 7549 - 7561 (Eds. Bengio, S.; Wallach, H.; Larochelle, H.; Grauman, K.; Cesa-Bianchi, N. et al.). Thirty-second Annual Conference on Neural Information Processing Systems 2018 (NeurIPS 2018), Montréal, Canada, December 03, 2018 - December 08, 2018. Curran, Red Hook, NY, USA (2019)

Ecker, A.; Sinz, F.; Froudarakis, E.; Fahey, P.; Cadena, S.; Walker, E.; Cobos, E.; Reimer, J.; Tolias, A.; Bethge, M.: A rotation-equivariant convolutional neural network model of primary visual cortex. In: Seventh International Conference on Learning Representations (ICLR 2019), pp. 1 - 11. Seventh International Conference on Learning Representations (ICLR 2019), New Orleans, LA, USA, May 06, 2019 - May 09, 2019. (2019)

Schott, L.; Rauber, J.; Bethge, M.; Brendel, W.: Towards the First Adversarially Robust Neural Network Model on MNIST. In: Seventh International Conference on Learning Representations (ICLR 2019), pp. 1 - 16. Seventh International Conference on Learning Representations (ICLR 2019), New Orleans, LA, USA, May 06, 2019 - May 09, 2019. (2019)

Michaelis, C.; Bethge, M.; Ecker, A.: One-Shot Segmentation in Clutter. In: International Conference on Machine Learning, 10-15 July 2018, Stockholmsmässan, Stockholm Sweden, pp. 3549 - 3558 (Eds. Dy, J.; Krause, A.). 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden, July 10, 2018 - July 15, 2018. International Machine Learning Society, Madison, WI, USA (2018)

Klindt, D.; Ecker, A.; Euler, T.; Bethge, M.: Neural system identification for large populations separating "what" and "where". In: Advances in Neural Information Processing Systems 30, pp. 3507 - 3517 (Eds. Guyon, I.; von Luxburg, U.; Bengio, S.; Wallach, H.; Fergus, R. et al.). Thirty-First Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA, December 04, 2017 - December 09, 2017. Curran, Red Hook, NY, USA (2018)

Gatys, L.; Ecker, A.; Bethge, M.: Image Style Transfer Using Convolutional Neural Networks. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), pp. 2414 - 2423. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA. IEEE, Piscataway, NJ, USA (2016)

Theis, L.; van den Oord, A.; Bethge, M.: A note on the evaluation of generative models. In: International Conference on Learning Representations (ICLR 2016), pp. 1 - 10. International Conference on Learning Representations (ICLR 2016), San Juan, Puerto Rico. (2016)

Gatys, L.; Ecker, A.; Bethge, M.: Texture Synthesis Using Convolutional Neural Networks. In: Advances in Neural Information Processing Systems 28, pp. 262 - 270 (Eds. Cortes, C.; Lawrence, N.D.; Lee, D.D.; Sugiyama, M.; Garnett, R. et al.). Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2015), Montréal, Canada. Curran, Red Hook, NY, USA (2016)

Theis, L.; Bethge, M.: Generative Image Modeling Using Spatial LSTMs. In: Advances in Neural Information Processing Systems 28, pp. 1918 - 1926 (Eds. Cortes, C.; Lawrence, N.D.; Lee, D.D.; Sugiyama, M.; Garnett, R. et al.). Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2015), Montréal, Canada. Curran, Red Hook, NY, USA (2016)

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)

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. et al.). Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS 2014), Montréal, Quebec, Canada. (2014)

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. et al.). Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS 2014), Montréal, Quebec, Canada. (2014)

Kümmerer, M.; Theis, L.; Bethge, M.: Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet. In: International Conference on Learning Representations (ICLR 2015), pp. 1 - 12. International Conference on Learning Representations (ICLR 2015), San Diego, CA, USA. (2014)

Turaga, S.; Buesing, L.; Packer, A.; Dalgleish, H.; Pettit, N.; Hausser, M.; Macke, J.: Inferring neural population dynamics from multiple partial recordings of the same neural circuit. In: Advances in Neural Information Processing Systems 26, pp. 539 - 547 (Eds. Burges, C.; Bottou, L.; Welling, M.; Ghahramani, Z.; Weinberger, K.Q.). Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Stateline, NV, USA. Curran, Red Hook, NY, USA (2014)

Haefner, R.; Bethge, M.: Evaluating neuronal codes for inference using Fisher information. In: Advances in neural information processing systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, pp. 1993 - 2001 (Eds. Lafferty, J.; Williams, C.; Shawe-Taylor, J.; Zemel, R.; Culotta, A.). Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, BC, Canada, December 06, 2010 - December 11, 2010. (2011)