• Edgar Y. Walker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Taliah Muhammad, Alexander S. Ecker, Erick Cobos, Jacob Reimer, Xaq Pitkow, Andreas S. Tolias Inception in visual cortex: in vivo-silico loops reveal most exciting images Nature Neuroscience (accepted)
  • Fabian H. Sinz, Xaq Pitkow, Jacob Reimer, Matthias Bethge, Andreas S. Tolias Engineering a less artificial ingelligence Neuron (accepted)
  • Joerg Henninger, Fabian Sinz, Ruediger Krahe, Jan Benda Tracking activity patterns of a multispecies community of gymnotiform weakly electric fish in their neotropical habitat biorxiv
  • Christoph Blessing, Edgar Y. Walker, Katrina R. Quinn, R. James Cotton, Wei Ji Ma, Andreas S. Tolias, Hendrikje Nienborg, Fabian H. Sinz Neural Likelihood Cognitive Computational Neuroscience
  • Cathryn R. Cadwell, Federico Scala, Paul G Fahey, Dmitry Kobak, Fabian H. Sinz, Per Johnsson, Shuang Li, R. James Cotton, Rickard Sandberg, Philipp Berens, Xiaolong Jiang, Andreas S. Tolias Cell type composition and circuit organization of neocortical radial clones biorxiv
  • Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge A rotation-equivariant convolutional neural network model of primary visual cortex ICLR 2019


  • Fabian H. Sinz, Alexander S. Ecker, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Xaq Pitkow, Jacob Reimer, Andreas S. Tolias Stimulus domain transfer in recurrent models for large scale cortical population prediction on video NeurIPS
  • Konstantin-Klemens Lurz Natural Language Processing in Artificial Neuronal Networks: Sentence analysis in medical papers Lund University Library


  • F.H. Sinz, C. Sachgau, J. Henninger, J. Benda, J. Grewe Simultaneous spike-time locking to multiple frequencies biorxiv
  • M. Ren, R. Liao, R. Urtasun, F. H. Sinz, R. S. Zemel Normalizing the normalizers: Comparing and extending network normalization schemes ICLR
  • T. Nguyen, W. Lui, F. Sinz, R. G. Araniuk, A. S. Tolias, X. Pitkow, A. B. Patel Towards a Cortically Inspired Deep Learning Model: Semi-Supervised Learning, Divisive Normalization, and Synaptic Pruning CCN


  • X. Jiang, S. Shen, F. Sinz, J. Reimer, C.R. Cadwell, P. Berens, A.S. Ecker, S. Patel, G.H. Denfield, E. Froudarakis, S. Li, E. Walker, A.S. Tolias Response to Comment on "principles of connectivity among morphologically defined cell types in adult neocortex" Science, 353
  • L. Hartmann, P. Drewe-Boß, T. Wießner, G. Wagner, S. Geue, H.-C. Lee, D. M. Obermüller, A. Kahles, J. Behr, F. H. Sinz, G. Rätsch, A. Wachter Alternative Splicing Substantially Diversifies the Transcriptome during Early Photomorphogenesis and Correlates with the Energy Availability in Arabidopsis The Plant Cell, 28, tpc.00508.2016


  • D. Yatsenko, J. Reimer, A. S. Ecker, E. Y. Walker, F. Sinz, P. Berens, A. Hoenselaar, R. J. Cotton, A. S. Siapas, A. S. Tolias DataJoint: managing big scientific data using MATLAB or Python biorxiv
  • X. Jiang, S. Shen, C. R. Cadwell, P. Berens, F. Sinz, A. S. Ecker, S. Patel, A. S. Tolias Principles of connectivity among morphologically defined cell types in adult neocortex Science, 350, aac9462-aac9462


  • A. Stöckl, F. Sinz, J. Benda, J. Grewe Encoding of social signals in all three electrosensory pathways of Eigenmannia virescens Nature neuroscience, 17, 851-7
  • F.H. Sinz, J.-P. Lies, S. Gerwinn, M. Bethge Natter: A Python natural image statistics toolbox Journal of Statistical Software, 61
  • E. Froudarakis , P. Berens , A. S. Ecker , R. J. Cotton , F. H. Sinz , D. Yatsenko , P. Saggau , M. Bethge , A. S. Tolias Population code in mouse V1 facilitates readout of natural scenes through increased sparseness Nature neuroscience, 17, 851-7


  • F. Sinz, M. Bethge Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images PLoS Computational Biology, 9, e1002889
  • F. H. Sinz, A. Stöckl, J. Grewe, J. Benda Least Informative Dimensions Advances in Neural Information Processing Systems 26, 413-421
  • F. Sinz, M. Bethge What Is the Limit of Redundancy Reduction with Divisive Normalization? Neural Computation, 25, 2809-2814


  • F. H. Sinz Orientation Selectivity and Contrast Gain Control in Representations of Natural Images PhD Thesis, Graduate School of Neural and Behavioural Sciences, University Tuebingen


  • L. Theis, S. Gerwinn, F. Sinz, M. Bethge In All Likelihood, Deep Belief Is Not Enough Journal of Machine Learning Research, 12, 3071-3096


  • F. Sinz, M. Bethge $L_p$-nested symmetric distributions Journal of Machine Learning Research, 11, 3409-3451
  • R. Hosseini, F. Sinz, M. Bethge Lower bounds on the redundancy of natural images Vision Research, 50, 2213-2222


  • F. Sinz, S. Gerwinn, M. Bethge Characterization of the p-generalized normal distribution Journal of Multivariate Analysis, 100, 817-820
  • F. Sinz, E. P. Simoncelli, M. Bethge Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions Advances in Neural Information Processing Systems 22, 1696-1704
  • J. Eichhorn, F. Sinz, M. Bethge Natural Image Coding in V1: How Much Use Is Orientation Selectivity? PLoS Computational Biology, 5


  • F. Sinz, M. Bethge How much can Orientation Selectivity and Contrast Gain Control Reduce Redundancies in Natural Images Technical Report Max Planck Institute for Biological Cybernetics
  • F. Sinz, M. Bethge The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction Advances in Neural Information Processing Systems 21, 1521-1528


  • F. H. Sinz, O. Chapelle, A. Agarwal, B. Schölkopf An Analysis of Inference with the Universum Advances in Neural Information Processing Systems, 1-8
  • F. H. Sinz A priori knowledge from non-examples Diploma Thesis University Tübingen


  • F. Sinz, B. Schölkopf Minimal Logical Constraint Covering Sets Minimal Logical Constraint Covering Sets Technical Report Max Planck Institute for Biological Cybernetics
  • J. Weston, R. Collobert, F. Sinz, L. Bottou, V. Vapnik Inference with the Universum Proceedings of the 23rd international conference on Machine learning ICML 06, 1009-1016
  • R. Collobert, F. Sinz, J. Weston, L. Bottou Trading convexity for scalability International Conference on Machine Learning, 201-208
  • J. Quinonero-Candela, C. E. Rasmussen, F. Sinz, O. Bousquet, Bernhard Schölkopf Evaluating Predictive Uncertainty Challenge MLCW 2005, Lecture Notes in Computer Science, 3944, 1-27
  • R. Collobert, F. Sinz, J. Weston, L. Bottou Large Scale Transductive SVMs Journal of Machine Learning Research, 7, 1687-1712


  • F.H. Sinz, J. Quinonero-Candela, G.H. Bakir, C.E. Rasmussen, M.O. Franz Learning Depth From Stereo Pattern Recognition, Proc. 26th DAGM Symposium, 3175, 1-8
  • D. Görür, C.E. E. Rasmussen, A.S. S. Tolias, F. Sinz, N.K. K Logothetis Modelling Spikes with Mixtures of Factor Analysers Pattern Recognition Proc 26th DAGM Symposium LNCS 3175, 3175, 391-398