Publications

2019

  • 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

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 NeurIPS
  • Konstantin-Klemens Lurz Natural Language Processing in Artificial Neuronal Networks: Sentence analysis in medical papers Lund University Library

2017

  • 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

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
  • 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

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
  • 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

  • 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

2013

  • 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

2012

  • 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

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

  • 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

2009

  • 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

2008

  • 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

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. H. Sinz A priori knowledge from non-examples Diploma Thesis University Tübingen

2006

  • 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

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