Publications
Publications
Lab members are shown in this color.
2023
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Arne Nix, Max Burg, Fabian Sinz
HARD: Hard Augmentations for Robust Distillation
arXiv
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Pawel A. Pierzchlewicz, Konstantin F. Willeke, Arne F. Nix, Pavithra Elumalai, Kelli Restivo, Tori Shinn, Cate Nealley, Gabrielle Rodriguez, Saumil Patel, Katrin Franke, Andreas S. Tolias, Fabian H. Sinz
Energy Guided Diffusion for Generating Neurally Exciting Images
bioRxiv
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Konstantin F. Willeke, Kelli Restivo, Katrin Franke, Arne F. Nix, Santiago A. Cadena, Tori Shinn, Cate Nealley, Gabby Rodriguez, Saumil Patel, Alexander S. Ecker, Fabian H. Sinz, Andreas S. Tolias
Deep learning-driven characterization of single cell tuning in primate visual area V4 unveils topological organization
bioRxiv
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Paweł A. Pierzchlewicz, R. James Cotton, Mohammad Bashiri, Fabian H. Sinz
Optimizing MPJPE promotes miscalibration in multi-hypothesis human pose lifting
ICLR - tiny paper
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Eric Y Wang, Paul G. Fahey, Kayla Ponder, Zhuokun Ding, Andersen Change, Taliah Muhammad, Saumil Patel, Zhiwei Ding, Dat T. Tran, Jiakun Fu, Stelios Papadopoulos, Katrin Franke, Alexander S. Ecker, Jacob Reimer, Xaq Pitkow, Fabian H. Sinz, Andreas S. Tolias
Towards a Foundation Model of the Mouse Visual Cortex
bioRxiv
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Zhiwei Ding, Dat T. Tran, Kayla Ponder, Erick Cobos, Zhuokun Ding, Paul G. Fahey, Eric Wang, Taliah Muhammad, Jiakun Fu, Santiago A. Cadena, Stelios Papadopoulos, Saumil Patel, Katrin Franke, Jacob Reimer, Fabian H. Sinz, Alexander S. Ecker, Xaq Pitkow, Andreas S. Tolias
Bipartite invariance in mouse primary visual cortex
bioRxiv
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Jiakun Fu, Suhas Shrinivasan, Kayla Ponder, Taliah Muhammad, Zhuokun Ding, Eric Wang, Zhiwei Ding, Dat T. Tran, Paul G. Fahey, Stelios Papadopoulos, Saumil Patel, Jacob Reimer, Alexander S. Ecker, Xaq Pitkow, Ralf M. Haefner, Fabian H. Sinz, Katrin Franke, Andreas S. Tolias
Pattern completion and disruption characterize contextual modulation in mouse visual cortex
bioRxiv
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Zhuokun Ding, Paul G. Fahey, Stelios Papadopoulos, Eric Wang, Brendan Celii, Christos Papadopoulos, Alexander Kunin, Andersen Chang, Jiakun Fu, Zhiwei Ding, Saumil Patel, Kayla Ponder, J. Alexander Bae, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Erick Cobos, Sven Dorkenwald, Leila Elabbady, 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, Sergiy Popovych, Casey M. Schneider-Mizell, William Silversmith, Marc Takeno, Russel Torres, Nicholas L. Turner, William Wong, Jingpeng Wu, Wenjing Yin, Szi-chieh Yu, Emmanouil Froudarakis, Fabian H. Sinz, H. Sebastian Seung, Forrest Collman, Nuno Maçarico da Costa, R. Clay Reid, Edgar Y. Walker, Xaq Pitkow, Jacob Reimer, Andreas S. Tolias
Functional connectomics reveals general wiring rule in mouse visual cortex
bioRxiv
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Brendan Celii, Stelios Papadopoulos, Zhuokun Ding, Paul G. Fahey, Eric Wang, Christos Papadopoulos, Alexander Kunin, Saumil Patel, J. Alexander Bae, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Erick Cobos, Sven Dorkenwald, Leila Elabbady, 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, Sergiy Popovych, Casey M. Schneider-Mizell, William Silversmith, Marc Takeno, Russel Torres, Nicholas L. Turner, William Wong, Jingpeng Wu, Szi-chieh Yu, Wenjing Yin, Daniel Xenes, Lindsey M. Kitchell, Patricia K. Rivlin, Victoria A. Rose, Caitlyn A. Bishop, Brock Wester, Emmanouil Froudarakis, Edgar Y. Walker, Fabian H. Sinz, H. Sebastian Seung, Forrest Collman, Nuno Maçarico da Costa, R. Clay Reid, Xaq Pitkow, Andreas S. Tolias, Jacob Reimer
NEURD: A mesh decomposition framework for automated proofreading and morphological analysis of neuronal EM reconstructions
bioRxiv
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Konstantin-Klemens Lurz, Mohammad Bashiri, Edgar Y. Walker, Fabian H. Sinz
Bayesian Oracle for bounding information gain in neural encoding models
ICLR 2023 (accepted)
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2022
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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
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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
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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
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Paweł A. Pierzchlewicz, R. James Cotton, Mohammad Bashiri, Fabian H. Sinz
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions
arXiv
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Arne Nix, Max Burg, Fabian Sinz
Leading by example: Guiding knowledge transfer with adversarial data augmentation
Neurips 2022 Workshop SyntheticData4ML
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Konstantin Lurz, Mohammad Bashiri, Fabian Sinz
Bayesian Oracle for bounding information gain in neural encoding models
Neurips 2022 Workshop InfoCog
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Luca Baroni, Mohammad Bashiri, Konstantin Friedrich Willeke, Ján Antolík, Fabian Sinz
Learning Invariance Manifolds of Visual Sensory Neurons
Neurips 2022 Workshop NeurReps
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Katrin Franke, Konstantin F. Willeke, Kayla Ponder, Mario Galdamez, Taliah Muhammad, Saumil Patel, Emmanouil Froudarakis, Jacob Reimer, Fabian H. Sinz, Andreas S. Tolias
State-dependent pupil dilation rapidly shifts visual feature selectivity
Nature
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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
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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
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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
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Pavithra Elumalai, Yasharth Yadav, Nitin Williams, Emil Saucan, Jürgen Jost, Areejit Samal
Graph Ricci curvatures reveal atypical functional connectivity in autism spectrum disorder
Nature Scientific Reports
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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
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Arne Nix, Suhas Shrinivasan, Edgar Y. Walker, Fabian H. Sinz
Can Functional Transfer Methods Capture Simple Inductive Biases?
AISTATS 2022
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2021
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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)
conference paper
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system identification
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openreview
twitter
teaser-youtube
talk-youtube
github
simulation demo
biorXiv
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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)
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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
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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?
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Dimitri Yatsenko, Thinh Nguyen, Shan Shen, Kabilar Gunalan, Christopher A. Turner, Raphael Guzman, Maho Sasaki, Daniel Sitonic, Jacob Reimer, Edgar Y. Walker, Andreas Tolias
DataJoint Elements: Data Workflows for Neurophysiology
bioRxiv
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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)
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2020
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James R. Cotton, Fabian H. Sinz, Andreas S. Tolias
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses
NeurIPS
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Fabian H. Sinz, Carolin Sachgau, Jörg Henninger, Jan Benda, Jan Grewe
Simultaneous spike-time locking to multiple frequencies
Journal of Neurophysiology 123(6)
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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)
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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
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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
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2019
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Edgar Y. Walker, R. James Cotton, Wei Ji Ma, Andreas S. Tolias
A neural basis of probabilistic computation in visual cortex
Nature Neuroscience (accepted)
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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)
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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
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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)
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Fabian H. Sinz, Xaq Pitkow, Jacob Reimer, Matthias Bethge, Andreas S. Tolias
Engineering a less artificial intelligence
Neuron 103(6)
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Max F. Günthner, Santiago A. Cadena, George H. Denfield, Edgar Y. Walker, Leon A. Gatys, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker
Learning Divisive Normalization in Primary Visual Cortex
Cognitive Computational Neuroscience
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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
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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
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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
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S. A. Cadena, G. H. Denfield, E. Y. Walker, L. A. Gatys, A. S. Tolias, M. Bethge, and A. S. Ecker
Deep convolutional models improve predictions of macaque V1 responses to natural images
PLoS Computational Biology
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2018
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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
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Konstantin-Klemens Lurz
Natural Language Processing in Artificial Neuronal Networks: Sentence analysis in medical papers
Lund University Library
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2017
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M. Ren, R. Liao, R. Urtasun, F. H. Sinz, R. S. Zemel
Normalizing the normalizers: Comparing and extending network normalization schemes
ICLR
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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
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2016
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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
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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
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2015
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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
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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
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2014
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F.H. Sinz, J.-P. Lies, S. Gerwinn, M. Bethge
Natter: A Python natural image statistics toolbox
Journal of Statistical Software, 61
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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)
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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
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2013
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F. H. Sinz, A. Stöckl, J. Grewe, J. Benda
Least Informative Dimensions
Advances in Neural Information Processing Systems 26, 413-421
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F. Sinz, M. Bethge
What Is the Limit of Redundancy Reduction with Divisive Normalization?
Neural Computation, 25, 2809-2814
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F. Sinz, M. Bethge
Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images
PLoS Computational Biology, 9, e1002889
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2012
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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
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2011
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L. Theis, S. Gerwinn, F. Sinz, M. Bethge
In All Likelihood, Deep Belief Is Not Enough
Journal of Machine Learning Research, 12, 3071-3096
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2010
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R. Hosseini, F. Sinz, M. Bethge
Lower bounds on the redundancy of natural images
Vision Research, 50, 2213-2222
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F. Sinz, M. Bethge
$L_p$-nested symmetric distributions
Journal of Machine Learning Research, 11, 3409-3451
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2009
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F. Sinz, S. Gerwinn, M. Bethge
Characterization of the p-generalized normal distribution
Journal of Multivariate Analysis, 100, 817-820
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J. Eichhorn, F. Sinz, M. Bethge
Natural Image Coding in V1: How Much Use Is Orientation Selectivity?
PLoS Computational Biology, 5
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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
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2008
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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
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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
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2007
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F. H. Sinz
A priori knowledge from non-examples
Diploma Thesis University Tübingen
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F. H. Sinz, O. Chapelle, A. Agarwal, B. Schölkopf
An Analysis of Inference with the Universum
Advances in Neural Information Processing Systems, 1-8
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2006
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F. Sinz, B. Schölkopf
Minimal Logical Constraint Covering Sets Minimal Logical Constraint Covering Sets
Technical Report Max Planck Institute for Biological Cybernetics
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R. Collobert, F. Sinz, J. Weston, L. Bottou
Large Scale Transductive SVMs
Journal of Machine Learning Research, 7, 1687-1712
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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
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R. Collobert, F. Sinz, J. Weston, L. Bottou
Trading convexity for scalability
International Conference on Machine Learning, 201-208
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2005
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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
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2004
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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
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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
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