2018

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 Advances in Neural Information Processing Systems
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 Proceedings of ICLR 2019

2017

M. Ren , R. Liao , R. Urtasun , F. H. Sinz , R. S. Zemel Normalizing the normalizers: Comparing and extending network normalization schemes ICLR, 1-15
F.H. Sinz , C. Sachgau , J. Henninger , J. Benda , J. Grewe Simultaneous spike-time locking to multiple frequencies biorxiv

2016

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
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

2015

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, 031658
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

2014

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
A. Stöckl , F. Sinz , J. Benda , J. Grewe Encoding of social signals in all three electrosensory pathways of Eigenmannia virescens. Journal of neurophysiology, 112, 2076-91
F.H. Sinz , J.-P. Lies , S. Gerwinn , M. Bethge Natter: A Python natural image statistics toolbox Journal of Statistical Software, 61

2013

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

2012

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

2011

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

2010

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

2009

F. Sinz , E. P. Simoncelli , M. Bethge Hierarchical Modeling of Local Image Features through Lp -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 , S. Gerwinn , M. Bethge Characterization of the p-generalized normal distribution Journal of Multivariate Analysis, 100, 817-820

2008

F. H 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. 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

2007

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. Sinz A priori knowledge from non-examples Diploma Thesis

2006

R. Collobert , F. Sinz , J. Weston , L. Bottou Trading convexity for scalability International Conference on Machine Learning, 201-208
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
F. Sinz , B. Schölkopf Minimal Logical Constraint Covering Sets Minimal Logical Constraint Covering Sets Biological Cybernetics, 12
R. Collobert , F. Sinz , J. Weston , L. Bottou Large Scale Transductive SVMs Journal of Machine Learning Research, 7, 1687-1712
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

2004

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