Fabian Sinz - Publications

Affiliations: 
2012-2015 Neuroethology Eberhard Karls Universität Tübingen, Tübingen, Baden-Württemberg, Germany 
 2015- Neuroscience Baylor College of Medicine, Houston, TX 
Area:
sensory systems; computational neuroscience

27 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Sinz FH, Sachgau C, Henniger J, Benda J, Grewe J. Simultaneous spike-time locking to multiple frequencies. Journal of Neurophysiology. PMID 32374223 DOI: 10.1152/jn.00615.2019  0.76
2020 Cadwell CR, Scala F, Fahey PG, Kobak D, Mulherkar S, Sinz FH, Papadopoulos S, Tan ZH, Johnsson P, Hartmanis L, Li S, Cotton RJ, Tolias KF, Sandberg R, Berens P, et al. Cell type composition and circuit organization of clonally related excitatory neurons in the juvenile mouse neocortex. Elife. 9. PMID 32134385 DOI: 10.7554/eLife.52951  0.96
2020 Henninger J, Krahe R, Sinz F, Benda J. Tracking activity patterns of a multispecies community of gymnotiform weakly electric fish in their neotropical habitat without tagging. The Journal of Experimental Biology. PMID 31937524 DOI: 10.1242/jeb.206342  0.76
2019 Walker EY, Sinz FH, Cobos E, Muhammad T, Froudarakis E, Fahey PG, Ecker AS, Reimer J, Pitkow X, Tolias AS. Inception loops discover what excites neurons most using deep predictive models. Nature Neuroscience. PMID 31686023 DOI: 10.1038/s41593-019-0517-x  0.96
2019 Sinz FH, Pitkow X, Reimer J, Bethge M, Tolias AS. Engineering a Less Artificial Intelligence. Neuron. 103: 967-979. PMID 31557461 DOI: 10.1016/j.neuron.2019.08.034  0.96
2016 Jiang X, Shen S, Sinz F, Reimer J, Cadwell CR, Berens P, Ecker AS, Patel S, Denfield GH, Froudarakis E, Li S, Walker E, Tolias AS. Response to Comment on "Principles of connectivity among morphologically defined cell types in adult neocortex". Science (New York, N.Y.). 353: 1108. PMID 27609883 DOI: 10.1126/science.aaf6102  0.92
2015 Jiang X, Shen S, Cadwell CR, Berens P, Sinz F, Ecker AS, Patel S, Tolias AS. Principles of connectivity among morphologically defined cell types in adult neocortex. Science (New York, N.Y.). 350: aac9462. PMID 26612957 DOI: 10.1126/science.aac9462  0.92
2014 Stöckl A, Sinz F, Benda J, Grewe J. Encoding of social signals in all three electrosensory pathways of Eigenmannia virescens. Journal of Neurophysiology. 112: 2076-91. PMID 25098964 DOI: 10.1152/jn.00116.2014  0.92
2014 Froudarakis E, Berens P, Ecker AS, Cotton RJ, Sinz FH, Yatsenko D, Saggau P, Bethge M, Tolias AS. Population code in mouse V1 facilitates readout of natural scenes through increased sparseness. Nature Neuroscience. 17: 851-7. PMID 24747577 DOI: 10.1038/nn.3707  0.92
2014 Sinz FH, Lies JP, Gerwinn S, Bethge M. Natter: A Python natural image statistics toolbox Journal of Statistical Software. 61: 1-34.  0.92
2013 Sinz FH, Bethge M. What is the limit of redundancy reduction with divisive normalization? Neural Computation. 25: 2809-14. PMID 23895047 DOI: 10.1162/NECO_a_00505  0.92
2013 Sinz F, Bethge M. Temporal adaptation enhances efficient contrast gain control on natural images. Plos Computational Biology. 9: e1002889. PMID 23382664 DOI: 10.1371/journal.pcbi.1002889  0.92
2013 Sinz FH, Stöckl A, Grewe J, Benda J. Least informative dimensions Advances in Neural Information Processing Systems 0.92
2011 Theis L, Gerwinn S, Sinz F, Bethge M. In all likelihood, deep belief is not enough Journal of Machine Learning Research. 12: 3071-3096.  0.92
2010 Hosseini R, Sinz F, Bethge M. Lower bounds on the redundancy of natural images. Vision Research. 50: 2213-22. PMID 20705084 DOI: 10.1016/j.visres.2010.07.025  0.92
2010 Sinz F, Bethge M. Lp-nested symmetric distributions Journal of Machine Learning Research. 11: 3409-3451.  0.92
2009 Eichhorn J, Sinz F, Bethge M. Natural image coding in V1: how much use is orientation selectivity? Plos Computational Biology. 5: e1000336. PMID 19343216 DOI: 10.1371/journal.pcbi.1000336  0.92
2009 Sinz F, Bethge M. The conjoint effect of divisive normalization and orientation selectivity on redundancy reduction in natural images Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1521-1528. DOI: 10.3389/conf.neuro.10.2008.01.116  0.92
2009 Sinz F, Gerwinn S, Bethge M. Characterization of the p-generalized normal distribution Journal of Multivariate Analysis. 100: 817-820. DOI: 10.1016/j.jmva.2008.07.006  0.92
2009 Sinz FH, Chapelle O, Agarwal A, Schölkopf B. An analysis of inference with the Universum Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 0.92
2009 Sinz F, Simoncelli EP, Bethge M. Hierarchical modeling of local image features through L p-nested symmetric distributions Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1696-1704.  0.92
2006 Weston J, Collobert R, Sinz F, Bottou L, Vapnik V. Inference with the Universum Acm International Conference Proceeding Series. 148: 1009-1016. DOI: 10.1145/1143844.1143971  0.92
2006 Collobert R, Sinz F, Weston J, Bottou L. Trading convexity for scalability Acm International Conference Proceeding Series. 148: 201-208. DOI: 10.1145/1143844.1143870  0.92
2006 Collobert R, Sinz F, Weston J, Bottou L. Large scale transductive SVMs Journal of Machine Learning Research. 7: 1687-1712.  0.92
2006 Rasmussen CE, Sinz F, Bousquet O, Schölkopf B. Evaluating predictive uncertainty challenge Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3944: 1-27.  0.92
2004 Görür B, Rasmussen CE, Tolias AS, Sinz F, Logothetis NK. Modelling spikes with mixtures of factor analysers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3175: 391-398.  0.92
2004 Sinz FH, Candela JQ, Bakir GH, Rasmussen CE, Franz MO. Learning depth from stereo Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3175: 245-252.  0.92
Show low-probability matches.