Publications of M Bethge

Putzeys, T.; Bethge, M.; Wichmann, F.; Wagemans, J.; Goris, R.: A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses. PLoS Computational Biology 8 (4), pp. 1 - 13 (2012)

Theis, L.; Gerwinn, S.; Sinz, F.; Bethge, M.: In All Likelihood, Deep Belief Is Not Enough. The Journal of Machine Learning Research 12, pp. 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), pp. 14272 - 14283 (2011)

Kitching, T.; Amara, A.; Gill, M.; Harmeling, S.; Heymans, C.; Massey, R.; Rowe, B.; Schrabback, T.; Voigt, L.; Balan, S. et al.; Bernstein, G.; Bethge, M.; Bridle, S.; Courbin, F.; Gentile, M.; Heavens, A.; Hirsch, M.; Hosseini, R.; Kiessling, A.; Kirk, D.; Kuijken, K.; Mandelbaum, R.; Moghaddam, B.; Nurbaeva, G.; Paulin-Henriksson , S.; Rassat, A.; Rhodes, J.; Schölkopf, B.; Shawe-Taylor, J.; Shmakova , M.; Taylor, A.; Velander, M.; van Waerbeke, L.; Witherick, D.; Wittman, D.: Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook. Annals of Applied Statistics 5 (3), pp. 2231 - 2263 (2011)

Macke, J.; Berens, P.; Bethge, M.: Statistical analysis of multi-cell recordings: linking population coding models to experimental data. Frontiers in Computational Neuroscience 5, 35, pp. 1 - 2 (2011)

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)

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

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)

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)

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

Bethge, M.: Factorial coding of natural images: how effective are linear models in removing higher-order dependencies? Journal of the Optical Society of America A 23 (6), pp. 1253 - 1268 (2006)