Fabian Sinz

Group Leader, Professor

Fabian Sinz
© Photo - Emmanouil Froudarakis

I am interested in how the model bias in biological neuronal networks realized through network architecture, neuronal nonlinearities, and their dynamics lead to more robust inference and faster learning. I use deep learning to approach these questions through theoretical analysis and system identification on large scale neuro-physiological and -anatomical data.


Publications

Lab members are shown in this color. Preprints are shown in this color.

2021

Mohammad Bashiri, Edgar Y. Walker, Konstantin-Klemens Lurz, Akshay Kumar Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas S. Tolias, Fabian H. Sinz A flow-based latent state generative model of neural population responses to natural images NeurIPS (spotlight)
Thomas Macrina, Kisuk Lee, Ran Lu, Nicholas L. Turner, Jingpeng Wu, Sergiy Popovych, William Silversmith, Nico Kemnitz, J. Alexander Bae, Manuel A. Castro, Sven Dorkenwald, Akhilesh Halageri, Zhen Jia, Chris Jordan, Kai Li, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, William Wong, Szi-chieh Yu, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Erick Cobos, Forrest Collman, Leila Elabbady, Paul G. Fahey, Emmanouil Froudarakis, Daniel Kapner, Sam Kinn, Gayathri Mahalingam, Stelios Papadopoulos, Saumil Patel, Casey M. Schneider-Mizell, Fabian H. Sinz, Marc Takeno, Russel Torres, Wenjing Yin, Xaq Pitkow, Jacob Reimer, Andreas S. Tolias, R. Clay Reid, Nuno Maçarico da Costa, H. Sebastian Seung Petascale neural circuit reconstruction: automated methods biorXiv
Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena, Kelli Restivo, George Denfield, Andreas S. Tolias, Fabian H. Sinz Towards robust vision by multi-task learning on monkey visual cortex NeurIPS (accepted)
MICrONS Consortium, J. Alexander Bae, Mahaly Baptiste, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Brendan Celii, Erick Cobos, Forrest Collman, Nuno Maçarico da Costa, Sven Dorkenwald, Leila Elabbady, Paul G. Fahey, Tim Fliss, Emmanouil Froudakis, Jay Gager, Clare Gamlin, Akhilesh Halageri, James Hebditch, Zhen Jia, Chris Jordan, Daniel Kapner, Nico Kemnitz, Sam Kinn, Selden Koolman, Kai Kuehner, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Gayathri Mahalingam, Sarah McReynolds, Elanine Miranda, Eric Mitchell, Shanka Subhra Mondal, Merlin Moore, Shang Mu, Taliah Muhammad, Barak Nehoran, Oluwaseun Ogedengbe, Christos Papadopoulos, Stelios Papadopoulos, Saumil Patel, Xaq Pitkow, Sergiy Popovych, Anthony Ramos, R. Clay Reid, Jacob Reimer, Casey M. Schneider-Mizell, H. Sebastian Seung, Ben Silverman, William Silversmith, Amy Sterling, Fabian H. Sinz, Cameron L. Smith, Shelby Suckow, Zheng H. Tan, Andreas S. Tolias, Russel Torres, Nicholas L. Turner, Edgar Y. Walker, Tianyu Wang, Grace Williams, Sarah Williams, Kyle Willie, Ryan Willie, William Wong, Jingpeng Wu, Chris Xu, Runzhe Yang, Dimitri Yatsenko, Fei Ye, Wenjing Yin, Szi-chieh Y Functional connectomics spanning multiple areas of mouse visual cortex biorXiv
Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena, Kelli Restivo, George Denfield, Andreas S. Tolias, Fabian H. Sinz Towards robust vision by multi-task learning on monkey visual cortex ICLR 2021 Workshop: How Can Findings About The Brain Improve AI Systems?
Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Friedrich Willeke, Akshay Kumar Jagadish, Eric Wang, Edgar Y Walker, Santiago Cadena, Taliah Muhammad, Eric Cobos, Andreas Tolias, Alexander Ecker, Fabian Sinz Generalization in data-driven models of primary visual cortex ICLR (spotlight)

2020

James R. Cotton, Fabian H. Sinz, Andreas S. Tolias Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses NeurIPS
Fabian H. Sinz, Carolin Sachgau, Jörg Henninger, Jan Benda, Jan Grewe Simultaneous spike-time locking to multiple frequencies Journal of Neurophysiology 123(6)
Ivan Ustyuzhaninov, Santiago A. Cadena, Emmanouil Froudarakis, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Fabian H. Sinz, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker Rotation-invariant clustering of functional cell types in primary visual cortex ICLR (accepted for talk)
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 clonally related excitatory neurons in the juvenile mouse neocortex eLife
Shan Shen, Xiaolong Jiang, Federico Scala, Jiakun Fu, Paul Fahey, Dimitry Kobak, Zhenghuan Tan, Jacob Reimer, Fabian H. Sinz, Andreas S. Tolias Distinct organization of two cortico-cortical feedback pathways biorxiv
Jörg Henninger, Fabian Sinz, Ruediger Krahe, Jan Benda Tracking activity patterns of a multispecies community of gymnotiform weakly electric fish in their neotropical habitat without tagging Journal of Experimental Biology

2019

Zhe Li, Wieland Brendel, Edgar Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian Sinz, Xaq Pitkow, Andreas Tolias Learning from brains how to regularize machines NeurIPS (accepted)
Edgar Y. Walker, Fabian H. Sinz, Erick Cobos, Taliah Muhammad, Emmanouil Froudarakis, Paul G. Fahey, Alexander S. Ecker, Jacob Reimer, Xaq Pitkow, Andreas S. Tolias Inception loops discover what excites neurons most using deep predictive models Nature Neuroscience
Santiago A. Cadena, Fabian H. Sinz, Taliah Muhammad, Emmanouil Froudarakis, Erick Cobos, Edgar Y. Walker, Jake Reimer, Matthias Bethge, Andreas Tolias, Alexander S. Ecker How well do deep neural networks trained on object recognition characterize the mouse visual system? NeurIPS workshop on Real Neurons & Hidden Units (accepted for talk)
Fabian H. Sinz, Xaq Pitkow, Jacob Reimer, Matthias Bethge, Andreas S. Tolias Engineering a less artificial intelligence Neuron 103(6)
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
Paul G. Fahey, Taliah Muhammad, Cameron Smith, Emmanouil Froudarakis, Erick Cobos, Jiakun Fu, Edgar Y. Walker, Dimitri Yatsenko, Fabian H. Sinz, Jacob Reimer, Andreas S. Tolias A global map of orientation tuning in mouse visual cortex 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

Oct 2018 - Neuronal Intelligence Lab Start

2017

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

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

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
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

2014

F.H. Sinz, J.-P. Lies, S. Gerwinn, M. Bethge Natter: A Python natural image statistics toolbox Journal of Statistical Software, 61
A. Stöckl, F. Sinz, J. Benda, J. Grewe Encoding of social signals in all three electrosensory pathways of Eigenmannia virescens Journal of Neurophysiology, 112(9)
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. 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. Sinz, M. Bethge Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images PLoS Computational Biology, 9, e1002889

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

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

2009

F. Sinz, S. Gerwinn, M. Bethge Characterization of the p-generalized normal distribution Journal of Multivariate Analysis, 100, 817-820
J. Eichhorn, F. Sinz, M. Bethge Natural Image Coding in V1: How Much Use Is Orientation Selectivity? PLoS Computational Biology, 5
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

2008

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

2006

F. Sinz, B. Schölkopf Minimal Logical Constraint Covering Sets Minimal Logical Constraint Covering Sets Technical Report Max Planck Institute for Biological Cybernetics
R. Collobert, F. Sinz, J. Weston, L. Bottou Large Scale Transductive SVMs Journal of Machine Learning Research, 7, 1687-1712
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

2005

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