| Principles of connectivity among morphologically defined cell types in adult neocortex X Jiang, S Shen, CR Cadwell, P Berens, F Sinz, AS Ecker, S Patel, ... Science 350 (6264), aac9462, 2015 | 753 | 2015 |
| Large scale transductive SVMS. R Collobert, F Sinz, J Weston, L Bottou, T Joachims Journal of Machine Learning Research 7 (8), 2006 | 598 | 2006 |
| Trading convexity for scalability R Collobert, F Sinz, J Weston, L Bottou Proceedings of the 23rd international conference on Machine learning, 201-208, 2006 | 420 | 2006 |
| Inference with the universum J Weston, R Collobert, F Sinz, L Bottou, V Vapnik Proceedings of the 23rd international conference on Machine learning, 1009-1016, 2006 | 215 | 2006 |
| Population code in mouse V1 facilitates readout of natural scenes through increased sparseness E Froudarakis, P Berens, AS Ecker, RJ Cotton, FH Sinz, D Yatsenko, ... Nature neuroscience 17 (6), 851-857, 2014 | 178 | 2014 |
| Engineering a less artificial intelligence FH Sinz, X Pitkow, J Reimer, M Bethge, AS Tolias Neuron 103 (6), 967-979, 2019 | 140 | 2019 |
| Evaluating predictive uncertainty challenge J Quinonero-Candela, CE Rasmussen, F Sinz, O Bousquet, B Schölkopf Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual …, 2006 | 133 | 2006 |
| Inception loops discover what excites neurons most using deep predictive models EY Walker, FH Sinz, E Cobos, T Muhammad, E Froudarakis, PG Fahey, ... Nature neuroscience 22 (12), 2060-2065, 2019 | 116* | 2019 |
| An analysis of inference with the universum FH Sinz, O Chapelle, A Agarwal, B Schölkopf Advances in Neural Information Processing Systems 20: 21st Annual Conference …, 2008 | 108* | 2008 |
| Normalizing the normalizers: Comparing and extending network normalization schemes M Ren, R Liao, R Urtasun, FH Sinz, RS Zemel arXiv preprint arXiv:1611.04520, 2016 | 99 | 2016 |
| Alternative splicing substantially diversifies the transcriptome during early photomorphogenesis and correlates with the energy availability in Arabidopsis L Hartmann, P Drewe-Boß, T Wießner, G Wagner, S Geue, HC Lee, ... The Plant Cell 28 (11), 2715-2734, 2016 | 74 | 2016 |
| Learning depth from stereo F Sinz, J Candela, G Bakır, C Rasmussen, M Franz 26th DAGM Symposium, 245-252, 2004 | 62 | 2004 |
| DataJoint: managing big scientific data using MATLAB or Python D Yatsenko, J Reimer, AS Ecker, EY Walker, F Sinz, P Berens, ... BioRxiv, 031658, 2015 | 61 | 2015 |
| Functional connectomics spanning multiple areas of mouse visual cortex MICrONS Consortium, JA Bae, M Baptiste, CA Bishop, AL Bodor, ... BioRxiv, 2021.07. 28.454025, 2021 | 60 | 2021 |
| Natural image coding in V1: how much use is orientation selectivity? J Eichhorn, F Sinz, M Bethge PLoS computational biology 5 (4), e1000336, 2009 | 58 | 2009 |
| In all likelihood, deep belief is not enough L Theis, S Gerwinn, F Sinz, M Bethge The Journal of Machine Learning Research 12, 3071-3096, 2011 | 44 | 2011 |
| Stimulus domain transfer in recurrent models for large scale cortical population prediction on video F Sinz, AS Ecker, P Fahey, E Walker, E Cobos, E Froudarakis, D Yatsenko, ... Advances in neural information processing systems 31, 2018 | 43 | 2018 |
| The spider J Weston, A Elisseeff, G Bakir, F Sinz Machine Learning Toolbox http://www. kyb. tuebingen. mpg. de/bs/people/spider, 2006 | 39 | 2006 |
| Learning from brains how to regularize machines Z Li, W Brendel, E Walker, E Cobos, T Muhammad, J Reimer, M Bethge, ... Advances in neural information processing systems 32, 2019 | 37 | 2019 |
| A rotation-equivariant convolutional neural network model of primary visual cortex AS Ecker, FH Sinz, E Froudarakis, PG Fahey, SA Cadena, EY Walker, ... arXiv preprint arXiv:1809.10504, 2018 | 36 | 2018 |
Matthias BethgeTübingen University & Maddox Co-FounderVerified email at bethgelab.org
