Publications

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2025

James R. Cotton, Fabian H. Sinz Biomechanical Reconstruction with Confidence Intervals from Multiview Markerless Motion Capture EMBC 2025 fully contributed paper conference paper · pose · arXiv
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 Nature journal paper · neuroscience · bioRxiv nature
Eric Y. Wang, Paul G. Fahey, Zhuokun Ding, Stelios Papadopoulos, Kayla Ponder, Marissa A. Weis, Andersen Chang, Taliah Muhammad, Saumil Patel, Zhiwei Ding, Dat Tran, Jiakun Fu, Casey M. Schneider-Mizell, R. Clay Reid, Forrest Collman, Nuno Maçarico da Costa, Katrin Franke, Alexander S. Ecker, Jacob Reimer, Xaq Pitkow, Fabian H. Sinz, Andreas S. Tolias Foundation model of neural activity predicts response to new stimulus types Nature journal paper · system_identification · bioRxiv nature
Mohammad Bashiri¹, Luca Baroni¹, Jan Antolik, Fabian H. Sinz Learning and aligning single-neuron invariance manifolds in visual cortex ICLR (oral; <1.8% submissions; 34. overall; 1. neuroscience) , equal contribution: ¹ conference paper · system_identification · OpenReview GitHub
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: automated proofreading and feature extraction for connectomics Nature journal paper · neuroscience · bioRxiv nature
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 Nature journal paper · neuroscience · biorXiv nature

2024

Dominik Becker, Anita Just, Günter Hahn, Peter Herrmann, Leif Saager,Fabian Sinz RESIST: Remapping EIT Signals Using Implicit Spatially-Aware Transformer ML4H Symposium 2024 workshop paper · medical_ai ·
Finn Schmidt, Suhas Shrinivasan¹, Polina Turishcheva¹, Fabian Sinz Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors NeuReps @ NeurIPS 2024 , equal contribution: ¹ workshop paper · system_identification · arXiv
Suhas Shrinivasan, Ralf Häfner, Fabian Sinz, Edgar Y. Walker Towards zero-shot adaptation of predictive models of neurons encoding posterior probability NeurNeuroAI @ NeurIPS 2024 workshop paper · normative_models · OpenReview
Ann-Kathrin Schalkamp¹, Stefanie Lerche¹, Isabel Wurster, Benjamin Roeben, Milan Zimmermann, Franca Fries, Anna-Katharina von Thaler, Gerhard Eschweiler, Thomas Gasser, Walter Maetzler, Daniela Berg, Fabian H. Sinz, Kathrin Brockmann Machine learning-based personalized composite score dissects risk and protective factors for cognitive and motor function in older participants Frontiers in Aging Neuroscience , equal contribution: ¹ journal paper · neurology · medRxiv frontiers
Polina Turishcheva, Max Burg, Fabian H. Sinz, Alexander Ecker Reproducibility of predictive networks for mouse visual cortex NeurIPS conference paper · system_identification · NeurIPS (spotlight) arXiv
Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová, Laura Hansel, Rachel E Froebe, Kayla Ponder, Yongrong Qiu, Konstantin Friedrich Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan M. Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie Rochefort, Arno Onken, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S Ecker Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos NeurIPS 2024 conference paper · system_identification · competition page OpenReview
Nan Wu, Isabel Valera, Fabian H. Sinz, Alexander Ecker, Thomas Euler, Yongrong Qiu Probabilistic Neural Transfer Function Estimation with Bayesian System Identification PLoS CB journal paper · system_identification · arXiv PLoS CB
Taesung Jung, Nanyu Zeng, Jason D. Fabbri, Guy Eichler, Zhe Li, Konstantin Willeke, Katie E. Wingel, Agrita Dubey, Rizwan Huq, Mohit Sharma, Yaoxing Hu, Girish Ramakrishnan, Kevin Tien, Paolo Mantovani, Abhinav Parihar, Heyu Yin, Denise Oswalt, Alexander Misdorp, Ilke Uguz, Tori Shinn, Gabrielle J. Rodriguez, Cate Nealley, Ian Gonzales, Michael Roukes, Jeffrey Knecht, Daniel Yoshor, Peter Canoll, Eleonora Spinazzi, Luca P. Carloni, Bijan Pesaran, Saumil Patel, Brett Youngerman, R. James Cotton, Andreas Tolias, Kenneth L. Shepard Stable, chronic in-vivo recordings from a fully wireless subdural-contained 65,536-electrode brain-computer interface device bioRxiv preprint · system_identification · bioRxiv
Jiakun Fu, Suhas Shrinivasan, Luca Baroni, Zhuokun Ding, Paul G. Fahey, Paweł Pierzchlewicz, Kayla Ponder, Rachel Froebe, Lydia Ntanavara, Taliah Muhammad, Konstantin F Willeke, Eric Wang, Zhiwei Ding, Dat T. Tran, Stelios Papadopoulos, Saumil Patel, Jacob Reimer, Alexander S. Ecker, Xaq Pitkow, Jan Antolik, Fabian H. Sinz, Ralf M. Haefner, Andreas S. Tolias, Katrin Franke Pattern completion and disruption characterize contextual modulation in the visual cortex bioRxiv preprint · neuroscience · bioRxiv twitter
Jiakun Fu, Pawel A. Pierzchlewicz, Konstantin F. Willeke, Mohammad Bashiri, Taliah Muhammad, Maria Diamantaki, Emmanouil Froudarakis, Kelli Restivo, Kayla Ponder, George H. Denfield, Fabian H. Sinz, Andreas S. Tolias, Katrin Franke Heterogeneous orientation tuning in primary visual cortex of mice diverges from Gabor-like receptive fields in primates Cell Reports journal paper · inception loops neuroscience · cell press
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 PLoS Computational Biology journal paper · normative models · bioRxiv PLoS CB
Pawel A. Pierzchlewicz, Caio da Silva, James Cotton, Fabian H. Sinz Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation arXiv preprint · pose · arXiv github · project page
Mohammad Bashiri PhD Thesis, International Max Planck Research School for Intelligent Systems, Tübingen phd thesis · system_identification · pdf

2023

Stefan Schrod, Fabian Sinz, Michael Altenbuchinger Adversarial Distribution Balancing for Counterfactual Reasoning arXiv preprint · medicalAI · arXiv
Max F. Burg, Thomas Zenkel, Michaela Vystrčilová, Jonathan Oesterle, Larissa Höfling, Konstantin F. Willeke, Jan Lause, Sarah Müller, Paul G. Fahey, Zhiwei Ding, Kelli Restivo, Shashwat Sridhar, Tim Gollisch, Philipp Berens, Andreas S. Tolias, Thomas Euler, Matthias Bethge, Alexander S. Ecker Most discriminative stimuli for functional cell type identification arXiv preprint · system_identification · arXiv
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 KI - Künstliche Intelligenz journal paper · sustainability · biorXiv springerlink
Kacper Ksiezak, Rene Burghardt, Neda Shahidi^, Alexander Gail^, Fabian H. Sinz^* Predicting choices in a dyadic foraging task using gated recurrent networks Complex Networks 2023 , equal contribution: ^* extended abstract · system_identification ·
Suhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo, George Denfield, Andreas S. Tolias, Edgar Y. Walker¹, Fabian H. Sinz¹ Taking the neural sampling code very seriously: A data-driven approach for assessing generative models of the visual system NeurIPS , equal contribution: ¹ conference paper · normative_models ·
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 NeurIPS conference paper · system_identification · bioRxiv github paper · project page
Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Hansel, Christoph Blessing, Konstantin-Klemens Lurz, Max F. Burg, Santiago A. Cadena, Zhiwei Ding, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, Olivier Marre, Adrian Hoffmann, Kirill Fedyanin, Kirill Vishniakov, Maxim Panov, Subash Prakash, Kishan Naik, Kantharaju Narayanappa, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz Retrospective on the SENSORIUM 2022 competition Proceedings of Machine Learning Research journal paper · system_identification · competition page PMLR pdf
Jennifer Lorenz, Sina Ike, Lea Maria Dammann, Dominik Becker, Benjamin Säfken & Alexander Silbersdorff Erwartete Schulprobleme als Folge der Corona-Schulschließungen im Frühjahr 2020 – Empirische Evidenz zur Bedeutung familialer Ressourcen mittels nichtlinearer Modellierung Zeitschrift für Erziehungswissenschaft journal paper · Springer
Polina Turishcheva, Paul G. Fahey, Laura Hansel, Rachel Froebe, Kayla Ponder, Michaela Vystrčilová, Konstantin F. Willeke, Mohammad Bashiri, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker The Dynamic Sensorium competition for predicting large-scale mouse visual cortex activity from videos arXiv preprint · system_identification · arXiv
Arne Nix, Max Burg, Fabian Sinz HARD: Hard Augmentations for Robust Distillation arXiv preprint · inductive bias transfer · arXiv
Konstantin F. Willeke¹, Kelli Restivo¹, Katrin Franke, Arne F. Nix, Santiago A. Cadena, Tori Shinn, Cate Nealley, Gabby Rodriguez, Saumil Patel, Alexander S. Ecker, Fabian H. Sinz², Andreas S. Tolias² Deep learning-driven characterization of single cell tuning in primate visual area V4 unveils topological organization bioRxiv , equal contribution: ¹, ² preprint · system_identification · bioRxiv
Paweł A. Pierzchlewicz, Mohammad Bashiri, R. James Cotton, Fabian H. Sinz Optimizing MPJPE promotes miscalibration in multi-hypothesis human pose lifting ICLR - tiny paper conference paper · pose · openreview
Zhiwei Ding¹, Dat T. Tran¹, 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 , equal contribution: ¹ preprint · neuroscience · bioRxiv
Suhas Shrinivasan, Andreas S. Tolias, Edgar Y. Walker^, Fabian H. Sinz^ Fitting normative neural sampling hypothesis models to neuronal response data COSYNE 2023 , equal contribution: ^* extended abstract · normative_models · Abstract Poster COSYNE 2023 proceedings
Konstantin-Klemens Lurz¹, Mohammad Bashiri¹, Edgar Y. Walker, Fabian H. Sinz Bayesian Oracle for bounding information gain in neural encoding models ICLR 2023 , equal contribution: ¹ conference paper · system identification · openreview code video

2022

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 preprint · system identification inception loops · biorXiv
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 workshop paper · inductive bias transfer · openreview
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 Baroni¹, Mohammad Bashiri¹, Konstantin Friedrich Willeke, Ján Antolík, Fabian Sinz Learning Invariance Manifolds of Visual Sensory Neurons Neurips 2022 Workshop NeurReps , equal contribution: ¹ workshop paper · system identification · PMLR pdf
Katrin Franke¹, Konstantin F. Willeke¹, 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 , equal contribution: ¹ journal paper · inception loops neuroscience · nature twitter biorXiv data code
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 journal paper · neuroscience · bioRxiv nature comm.
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 preprint · system identification · arXiv challenge data
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 journal paper · paper
Arne Nix, Suhas Shrinivasan, Edgar Y. Walker, Fabian H. Sinz Can Functional Transfer Methods Capture Simple Inductive Biases? AISTATS 2022 conference paper · inductive bias transfer · youtube code pdf

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) conference paper · system identification · openreview twitter teaser-youtube talk-youtube github simulation demo 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 conference paper · inductive bias transfer · arXiv github
Max F. Burg, 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 PLoS Computational Biology journal paper · system identification normative models · bioRxiv PLoSCB
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? workshop paper · inductive bias transfer · workshop youtube pdf
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 preprint · datajoint · pdf
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) conference paper · system identification · openreview bioRxiv twitter data code youtube

2020

James R. Cotton, Fabian H. Sinz, Andreas S. Tolias Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses NeurIPS conference paper · system identification · proceedings arXiv youtube data code
Fabian H. Sinz, Carolin Sachgau, Jörg Henninger, Jan Benda, Jan Grewe Simultaneous spike-time locking to multiple frequencies Journal of Neurophysiology 123(6) journal paper · neuroscience electrosensory · JNeuroPhys bioRxiv docker github data
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 (oral) 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 journal paper · neuroscience · eLife bioRxiv github
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

Edgar Y. Walker, R. James Cotton, Wei Ji Ma, Andreas S. Tolias A neural basis of probabilistic computation in visual cortex Nature Neuroscience (accepted) journal paper · normative models · bioRxiv
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) conference paper · inductive bias transfer · arXiv NeurIPS
Edgar Y. Walker¹, Fabian H. Sinz¹, 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 , equal contribution: ¹ journal paper · inception loops · bioRxiv Nature Neuroscience github
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) workshop paper · system identification · openreview
Fabian H. Sinz, Xaq Pitkow, Jacob Reimer, Matthias Bethge, Andreas S. Tolias Engineering a less artificial intelligence Neuron 103(6) journal paper · inductive bias transfer · Neuron
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 conference paper · normative models · pdf poster typos
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 preprint · neuroscience · bioRxiv twitter
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 conference paper · system identification · arXiv openreview code
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 journal paper · system identification · PLoS

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 conference paper · system identification · bioRxiv NeurIPS code data
Konstantin-Klemens Lurz Natural Language Processing in Artificial Neuronal Networks: Sentence analysis in medical papers Lund University Library master thesis · Lund University Library

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 conference paper · inductive bias transfer · openreview
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 journal paper · neuroscience · docker github science

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 preprint · datajoint · bioRxiv github

2014

F.H. Sinz, J.-P. Lies, S. Gerwinn, M. Bethge Natter: A Python natural image statistics toolbox Journal of Statistical Software, 61 journal paper · natural image statistics · github pdf
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) journal paper · electrosensory neuroscience · code pdf
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 journal paper · neuroscience · nature neuroscience

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 journal paper · natural image statistics · Neural Computation code code instructions
F. Sinz, M. Bethge Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images PLoS Computational Biology, 9, e1002889 journal paper · natural image statistics · pdf poster

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 phd thesis · natural image statistics · pdf

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 journal paper · natural image statistics · jmlr code

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 journal paper · natural image statistics · pdf errata

2009

F. Sinz, S. Gerwinn, M. Bethge Characterization of the p-generalized normal distribution Journal of Multivariate Analysis, 100, 817-820 journal paper · natural image statistics · jmva
J. Eichhorn¹, F. Sinz¹, M. Bethge Natural Image Coding in V1: How Much Use Is Orientation Selectivity? PLoS Computational Biology, 5 , equal contribution: ¹ journal paper · natural image statistics · pdf code
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

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