Fabian Sinz

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.

2023

Casey M Schneider-Mizell, Agnes Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Leila Elabbady, Daniel Kapner, Sam Kinn, Gayathri Mahalingam, Sharmishtaa Seshamani, Shelby Suckow, Marc Takeno, Russel Torres, Wenjing Yin, Sven Dorkenwald, J. Alexander Bae, Manuel A. Castro, Paul G. Fahey, Emmanouil Froudakis, Akhilesh Halageri, Zhen Jia, Chris Jordan, Nico Kemnitz, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Stelios Papadopoulos, Saumil Patel, Xaq Pitkow, Sergiy Popovych, William Silversmith, Fabian H. Sinz, Nicholas L. Turner, William Wong, Jingpeng Wu, Szi-chieh Yu, MICrONS Consortium, Jacob Reimer, Andreas Tolias, H Sebastian Seung, R Clay Reid, Forrest Collman, Nuno Maçarico da Costa Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex bioRxiv
preprint · neuroscience · bioRxiv
Konstantin-Klemens Lurz, Mohammad Bashiri, Edgar Y. Walker, Fabian H. Sinz Bayesian Oracle for bounding information gain in neural encoding models ICLR 2023 (accepted)
conference paper · system identification · openreview

2022

Marissa A. Weis, Stelios Papadopoulos, Laura Hansel, Timo Lüddecke, Brendan Celii, Paul G. Fahey, J. Alexander Bae, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Erick Cobos, Forrest Collman, Nuno Maçarico da Costa, Sven Dorkenwald, Leila Elabbady, Emmanouil Froudarakis, Akhilesh Halageri, Zhen Jia, Chris Jordan, Dan Kapner, Nico Kemnitz, Sam Kinn, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Gayathri Mahalingam, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Saumil Patel, Xaq Pitkow, Sergiy Popovych, R. Clay Reid, Casey M. Schneider-Mizell, H. Sebastian Seung, William Silversmith, Fabian H. Sinz, Marc Takeno, Russel Torres, Nicholas L. Turner, William Wong, Jingpeng Wu, Wenjing Yin, Szi-chieh Yu, Jacob Reimer, Andreas S. Tolias, Alexander S. Ecker Large-scale unsupervised discovery of excitatory morphological cell types in mouse visual cortex biorXiv
preprint · neuroscience · biorXiv
Abel Andree Barreto Alcantara, Lasse Reifenrath, Richard Vogg, Fabian H. Sinz, Anne-Katrin Mahlein Using UAV-Imagery for Leaf Segmentation in Diseased Plants via Mask-Based Data Augmentation and Extension of Leaf-based Phenotyping Parameters biorXiv
Erick Cobos, Taliah Muhammad, Paul G Fahey, Zhiwei Ding, Zhuokun Ding, Jacob Reimer, Fabian H. Sinz, Andreas Tolias It takes neurons to understand neurons: Digital twins of visual cortex synthesize neural metamers biorXiv
Ann-Kathrin Schalkamp, Stefanie Lerche, Isabel Wurster, Benjamin Roeben, Milan Zimmermann, Franca Fries, Anna-Katharina von Thaler, Gerhard Eschweiler, Thomas Gasser, Walter Maetzler, Daniela Berg, Kathrin Brockmann, Fabian H. Sinz Machine learning-based personalized composite score dissects risk and protective factors for cognitive and motor function in elderly medRxiv
preprint · neurology · medRxiv
Paweł A. Pierzchlewicz, R. James Cotton, Mohammad Bashiri, Fabian H. Sinz Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions arXiv
preprint · pose · arXiv
Arne Nix, Max Burg, Fabian Sinz Leading by example: Guiding knowledge transfer with adversarial data augmentation Neurips 2022 Workshop SyntheticData4ML
Konstantin Lurz, Mohammad Bashiri, Fabian Sinz Bayesian Oracle for bounding information gain in neural encoding models Neurips 2022 Workshop InfoCog
workshop paper · system identification ·
Luca Baroni, Mohammad Bashiri, Konstantin Friedrich Willeke, Ján Antolík, Fabian Sinz Learning Invariance Manifolds of Visual Sensory Neurons Neurips 2022 Workshop NeurReps
workshop paper · system identification ·
Katrin Franke, Konstantin F. Willeke, Kayla Ponder, Mario Galdamez, Taliah Muhammad, Saumil Patel, Emmanouil Froudarakis, Jacob Reimer, Fabian H. Sinz, Andreas S. Tolias Behavioral state tunes mouse vision to ethological features through pupil dilation Nature
Leila Elabbady, Sharmishtaa Seshamani, Shang Mu, Gayathri Mahalingam, Casey Schneider-Mizell, Agnes Bodor, J. Alexander Bae, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Erick Cobos, Sven Dorkenwald, Paul G. Fahey, Emmanouil Froudarakis, Akhilesh Halageri, Zhen Jia, Chris Jordan, Dan Kapner, Nico Kemnitz, Sam Kinn, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Eric Mitchell, Shanka Subhra Mondal, Barak Nehoran, Stelios Papadopoulos, Saumil Patel, Xaq Pitkow, Sergiy Popovych, Jacob Reimer, William Silversmith, Fabian H. Sinz, Marc Takeno, Russel Torres, Nicholas Turner, William Wong, Jingpeng Wu, Wenjing Yin, Szi-chieh Yu, Andreas Tolias, H. Sebastian Seung, R. Clay Reid, Nuno Maçarico Da Costa, Forrest Collman Quantitative Census of Local Somatic Features in Mouse Visual Cortex biorXiv
preprint · neuroscience · biorXiv
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 Nature Communications
Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Pede, Max F. Burg, Christoph Blessing, Santiago A. Cadena, Zhiwei Ding, Konstantin-Klemens Lurz, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz The Sensorium competition on predicting large-scale mouse primary visual cortex activity arXiv
Santiago A. Cadena, Konstantin F. Willeke, Kelli Restivo, George Denfield, Fabian H. Sinz, Matthias Bethge, Andreas S. Tolias, Alexander S. Ecker Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks bioRxiv
Jiakun Fu, Konstantin F. Willeke, Pawel A. Pierzchlewicz, Taliah Muhammad, George H. Denfield, Fabian H. Sinz, Andreas S. Tolias Hetereogenous orientation tuning across sub-regions of receptive fields of V1 neurons in mice Cell Press Sneak Preview
Arne Nix, Suhas Shrinivasan, Edgar Y. Walker, Fabian H. Sinz Can Functional Transfer Methods Capture Simple Inductive Biases? AISTATS 2022

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
preprint · neuroscience · 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
preprint · neuroscience · 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)
conference paper · system identification · openreview
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
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
journal paper · neuroscience · bioRxiv JEB

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
conference paper · inductive bias transfer · pdf

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
journal paper · plantcell
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
journal paper · neuroscience · code science
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
conference paper · kernel methods · code pdf poster
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
journal paper · natural image statistics · pdf
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
conference paper · natural image statistics · pdf

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
conference paper · natural image statistics · pdf
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
technical report · natural image statistics · pdf

2007

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

2006

F. Sinz, B. Schölkopf Minimal Logical Constraint Covering Sets Minimal Logical Constraint Covering Sets Technical Report Max Planck Institute for Biological Cybernetics
technical report · kernel methods · pdf
R. Collobert, F. Sinz, J. Weston, L. Bottou Large Scale Transductive SVMs Journal of Machine Learning Research, 7, 1687-1712
journal paper · kernel methods · pdf
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
conference paper · kernel methods · pdf poster
R. Collobert, F. Sinz, J. Weston, L. Bottou Trading convexity for scalability International Conference on Machine Learning, 201-208
conference paper · kernel methods · pdf errata

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
book chapter · pdf

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
conference paper · kernel methods · pdf
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
conference paper · neuroscience · pdf