Publications

Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal Udandarao, Ofir Press, Matthias Bethge (2024). CiteME: Can Language Models Accurately Cite Scientific Claims?. NeurIPS 2024.

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Matthias Tangemann, Matthias Kümmerer, Matthias Bethge (2024). Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli. NeurIPS 2024.

Lukas Thede, Karsten Roth, Olivier J. Henaff, Matthias Bethge, Zeynep Akata (2024). Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models. CoLLAs 2024.

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Sebastian Dziadzio, Çağatay Yıldız, Gido M. van de Ven, Tomasz Trzciński, Tinne Tuytelaars, Matthias Bethge (2024). Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization. Third Conference on Lifelong Learning Agents (CoLLAs) 2024.

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Ilze Amanda Auzina, Çağatay Yıldız, Sara Magliacane, Matthias Bethge, Efstratios Gavves (2024). Modulated Neural ODEs. Neural Information Processing Systems (NeurIPS) 2023.

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Çağatay Yıldız, Nishaanth Kanna Ravichandran, Matthias Bethge, Beyza Ermis (2024). Investigating Continual Pretraining in Large Language Models: Insights and Implications.

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Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge, ST John, Pekka Marttinen (2024). Identifying latent state transition in non-linear dynamical systems.

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Fırat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çağatay Yıldız (2024). Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?. Empirical Methods in Natural Language Processing (EMNLP) 2024.

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Prasanna Mayilvahanan, Roland Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel (2024). In Search of Forgotten Domain Generalization.

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Vishaal Udandarao, Max F. Burg, Samuel Albanie, Matthias Bethge (2024). Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models.

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Vishaal Udandarao, Ankush Gupta, Samuel Albanie (2024). SuS-X---Training-Free Name-Only Transfer of Vision-Language Models.

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Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip Torr, Adel Bibi, Samuel Albanie, Matthias Bethge (2024). No Zero-Shot Without Exponential Data---Pretraining Concept Frequency Determines Multimodal Model Performance.

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Ameya Prabhu, Vishaal Udandarao, Philip Torr, Matthias Bethge, Adel Bibi, Samuel Albanie (2024). Efficient Lifelong Model Evaluation in an Era of Rapid Progress.

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Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier Henaff, Samuel Albanie, Zeynep Akata, Matthias Bethge (2024). A Practitioner's Guide to Continual Multimodal Pretraining.

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Larissa Hoefling, Klaudia P Szatko, Christian Behrens, Yuyao Deng, Yongrong Qiu, David Alexander Klindt, Zachary Jessen, Gregory W Schwartz, Matthias Bethge, Philipp Berens, Katrin Franke, Alexander S Ecker, Thomas Euler (2024). A chromatic feature detector in the retina signals visual context changes. A chromatic feature detector in the retina signals visual context changes.

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Adhiraj Ghosh, Sebastian Dziadzio, Vishaal Udandarao, Ameya Prabhu, Samuel Albanie, Matthias Bethge (2024). Democratizing and Personalizing Evaluation with ∞-Benchmarks: Sample-Level Heterogeneous Testing Over Arbitrary Capabilities.

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Ori Press, Ravid Shwartz-Ziv, Yann LeCun, Matthias Bethge (2024). The Entropy Enigma: Success and Failure of Entropy Minimization. ICML 2024.

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Matthias Tangemann, Matthias Kümmerer, Matthias Bethge (2024). Deep feature matching vs spatio-temporal energy filtering for robust moving object segmentation. VSS 2024.

Mark Basting, Robert-Jan Bruintjes, Thaddäus Wiedemer, Matthias Kummerer, Matthias Bethge, Jan van Gemert (2024). Scale Learning in Scale-Equivariant Convolutional Networks.

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Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak, Matthias Bethge, Wieland Brendel (2023). Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?.

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Thaddäus Wiedemer, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel (2023). Provable Compositional Generalization for Object-Centric Learning.

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Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel (2023). Compositional Generalization from First Principles.

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Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge (2023). RDumb: A simple approach that questions our progress in continual test-time adaptation. NeurIPS 2023.

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Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf (2023). Unsupervised object learning via common fate. CLeaR 2023.

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Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge (2022). Using the DeepGaze III model to decompose spatial and dynamic contributions to fixation placement over time.

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Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A Wichmann, Wieland Brendel (2022). The bittersweet lesson: data-rich models narrow the behavioural gap to human vision.

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Lisa Schwetlick, Matthias Kümmerer, Ralf Engbert, Matthias Bethge (2022). DeepGaze vs SceneWalk: what can DNNs and biological scan path models teach each other?.

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Christina M Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard Zemel, Matthias Bethge (2022). Disentanglement and generalization under correlation shifts.

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Matthias Tangemann, Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge (2022). Common fate based object learning in machines and humans. VSS 2022.

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Matthias Kümmerer, Matthias Bethge, Thomas SA Wallis (2022). Deepgaze iii: Modeling free-viewing human scanpaths with deep learning.

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Ivan Ustyuzhaninov, Max F Burg, Santiago A Cadena, Jiakun Fu, Taliah Muhammad, Kayla Ponder, Emmanouil Froudarakis, Zhiwei Ding, Matthias Bethge, Andreas S Tolias, Alexander S Ecker (2022). Digital twin reveals combinatorial code of non-linear computations in the mouse primary visual cortex.

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Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B Patel, Andreas S Tolias, Xaq Pitkow (2022). Robust deep learning object recognition models rely on low frequency information in natural images.

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Yongrong Qiu, David A Klindt, Klaudia P Szatko, Dominic Gonschorek, Larissa Hoefling, Timm Schubert, Laura Busse, Matthias Bethge, Thomas Euler (2022). Efficient coding of natural scenes improves neural system identification.

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MA Pedziwiatr, M Kümmerer, TSA Wallis, M Bethge, C Teufel (2022). Semantic object-scene inconsisten.

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Evgenia Rusak, Steffen Schneider, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge (2022). ImageNet-D: A new challenging robustness dataset inspired by domain adaptation.

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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 (2022). Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks.

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Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A Wichmann, Wieland Brendel (2021). Partial success in closing the gap between human and machine vision.

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Roland S Zimmermann, Judy Borowski, Robert Geirhos, Matthias Bethge, Thomas Wallis, Wieland Brendel (2021). How Well do Feature Visualizations Support Causal Understanding of CNN Activations?.

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Marek A Pedziwiatr, Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge, Christoph Teufel (2021). Contextualised meaning maps do not predict how semantic object-context inconsistencies change human gaze behaviour.

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Wieland Brendel, Jonas Rauber, Matthias Bethge (2021). 2.1 Decision-Based Adversarial Attacks.

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Evgenia Rusak, Steffen Schneider, George Pachitariu, Luisa Eck, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge (2021). If your data distribution shifts, use self-learning.

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Marek A Pedziwiatr, Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge, Christoph Teufel (2021). Object-context inconsistencies affect gaze behavior differently than predicted by contextualized meaning maps.

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Matthias Kümmerer, Akis Linardos, Matthias Bethge (2021). New enhancements to the DeepGaze models for a better understanding of human scanpaths.

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Marek A Pedziwiatr, Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge, Christoph Teufel (2021). There is no evidence that meaning maps capture semantic information relevant to gaze guidance: Reply to Henderson, Hayes, Peacock, and Rehrig (2021).

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Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel (2021). Visual representation learning does not generalize strongly within the same domain.

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Roland S Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel (2021). Contrastive learning inverts the data generating process.

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Max F Burg, Santiago A Cadena, George H Denfield, Edgar Y Walker, Andreas S Tolias, Matthias Bethge, Alexander S Ecker (2021). Learning divisive normalization in primary visual cortex.

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Marek A Pedziwiatr, Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge, Christoph Teufel (2021). Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning maps.

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Evgenia Rusak, Steffen Schneider, Peter Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge (2021). Adapting imagenet-scale models to complex distribution shifts with self-learning.

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Lukas Schott (2021). Selected Inductive Biases in Neural Networks To Generalize Beyond the Training Domain.

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Christina M Funke, Judy Borowski, Karolina Stosio, Wieland Brendel, Thomas SA Wallis, Matthias Bethge (2021). Five points to check when comparing visual perception in humans and machines.

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Matthias Kümmerer, Matthias Bethge (2021). State-of-the-art in human scanpath prediction.

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Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yuksekgonul, Byron Rogers, Matthias Bethge, Mackenzie W Mathis (2021). Pretraining boosts out-of-domain robustness for pose estimation.

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Khushdeep Singh Mann, Steffen Schneider, Alberto Chiappa, Jin Hwa Lee, Matthias Bethge, Alexander Mathis, Mackenzie W Mathis (2021). Out-of-distribution generalization of internal models is correlated with reward.

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Marek A Pedziwiatr, Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge, Christoph Teufel (2021). Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations.

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Ute Schmid, Volker Tresp, Matthias Bethge, Kristian Kersting, Rainer Stiefelhagen (2021). Künstliche Intelligenz–Die dritte Welle.

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CM Funke, J Borowski, K Stosio, W Brendel, TSA Wallis, M Bethge (2021). Five points to check when com.

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Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge (2021). DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling.

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Marissa A Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S Ecker (2021). Benchmarking unsupervised object representations for video sequences.

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SA Cadena, K Willeke, K Restivo, G Denfield, EY Walker, F Sinz, M Bethge, AS Tolias, AS Ecker (2021). A diverse task-driven characterization of early and mid-level representations of the primate ventral stream.

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Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard Zemel, Wieland Brendel, Matthias Bethge, Felix A Wichmann (2020). Shortcut learning in deep neural networks.

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Claudio Michaelis, Matthias Bethge, Alexander S Ecker (2020). Closing the generalization gap in one-shot object detection.

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Judy Borowski, Roland S Zimmermann, Judith Schepers, Robert Geirhos, Thomas SA Wallis, Matthias Bethge, Wieland Brendel (2020). Exemplary natural images explain CNN activations better than state-of-the-art feature visualization.

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Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard Zemel, Wieland Brendel, Matthias Bethge, Felix A Wichmann (2020). Unintended cue learning: Lessons for deep learning from experimental psychology.

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Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge (2020). Analyzing task-specific patterns in human scanpaths.

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Judy Borowski, Roland S Zimmermann, Judith Schepers, Robert Geirhos, Thomas SA Wallis, Matthias Bethge, Wieland Brendel (2020). Exemplary natural images explain CNN activations better than feature visualizations.

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Jonas Rauber, Roland Zimmermann, Matthias Bethge, Wieland Brendel (2020). Foolbox native: Fast adversarial attacks to benchmark the robustness of machine learning models in pytorch, tensorflow, and jax.

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Evgenia Rusak, Lukas Schott, Roland S Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel (2020). A simple way to make neural networks robust against diverse image corruptions.

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Jonas Rauber, Matthias Bethge, Wieland Brendel (2020). EagerPy: Writing code that works natively with PyTorch, TensorFlow, JAX, and NumPy.

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Matthias Tangemann, Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge (2020). Measuring the importance of temporal features in video saliency.

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David Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan Paiton (2020). Towards nonlinear disentanglement in natural data with temporal sparse coding.

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Alexander Mathis, Thomas Biasi, Y Mert, Byron Rogers, Matthias Bethge, Mackenzie Weygandt Mathis (2020). Imagenet performance correlates with pose estimation robustness and generalization on out-of-domain data.

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Marissa A Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S Ecker (2020). Unmasking the inductive biases of unsupervised object representations for video sequences.

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Kai J Sandbrink, Pranav Mamidanna, Claudio Michaelis, Mackenzie Weygandt Mathis, Matthias Bethge, Alexander Mathis (2020). Task-driven hierarchical deep neural network models of the proprioceptive pathway.

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Julius von Kügelgen, Ivan Ustyuzhaninov, Peter Gehler, Matthias Bethge, Bernhard Schölkopf (2020). Towards causal generative scene models via competition of experts.

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Zhijian Zhao, David A Klindt, Andrè Maia Chagas, Klaudia P Szatko, Luke Rogerson, Dario A Protti, Christian Behrens, Deniz Dalkara, Timm Schubert, Matthias Bethge, Katrin Franke, Philipp Berens, Alexander S Ecker, Thomas Euler (2020). The temporal structure of the inner retina at a single glance.

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Cornelius Schröder, David Klindt, Sarah Strauss, Katrin Franke, Matthias Bethge, Thomas Euler, Philipp Berens (2020). System identification with biophysical constraints: A circuit model of the inner retina.

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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 (2020). Rotation-invariant clustering of neuronal responses in primary visual cortex.

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Judy Borowski, Roland Simon Zimmermann, Judith Schepers, Robert Geirhos, Thomas SA Wallis, Matthias Bethge, Wieland Brendel (2020). Natural images are more informative for interpreting cnn activations than state-of-the-art synthetic feature visualizations.

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Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge (2020). Improving robustness against common corruptions by covariate shift adaptation.

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Steffen Schneider123, Shubham Krishna, Luisa Eck, Wieland Brendel, Mackenzie W Mathis, Matthias Bethge (2020). Generalized Invariant Risk Minimization: relating adaptation and invariant representation learning.

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Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Sharada P Mohanty, Florian Laurent, Marcel Salathé, Matthias Bethge, Yaodong Yu, Hongyang Zhang, Susu Xu, Hongbao Zhang, Pengtao Xie, Eric P Xing, Thomas Brunner, Frederik Diehl, Jérôme Rony, Luiz Gustavo Hafemann, Shuyu Cheng, Yinpeng Dong, Xuefei Ning, Wenshuo Li, Yu Wang (2020). Adversarial vision challenge.

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I Higgins, T Konkle, M Bethge (2019). What sorts of cognitive or biological (architectural) inductive biases will be crucial for developing effective artificial intelligence?.

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Thomas SA Wallis, Saskia Tobias, Matthias Bethge, Felix A Wichmann (2019). Correction to: Detecting distortions of peripherally presented letter stimuli under crowded conditions.

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Thomas SA Wallis, Saskia Tobias, Matthias Bethge, Felix A Wichmann (2019). " Detecting distortions of peripherally presented letter stimuli under crowded conditions": Correction..

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Fabian H Sinz, Xaq Pitkow, Jacob Reimer, Matthias Bethge, Andreas S Tolias (2019). Engineering a less artificial intelligence.

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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 (2019). How well do deep neural networks trained on object recognition characterize the mouse visual system?.

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Robert Geirhos, Patricia Rubisch, Jonas Rauber, Carlos R Medina Temme, Claudio Michaelis, Wieland Brendel, Matthias Bethge, Felix A Wichmann (2019). Inducing a human-like shape bias leads to emergent human-level distortion robustness in CNNs.

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Thomas S Wallis, Marlene Weller, Christina M Funke, Matthias Bethge (2019). Hole-in-the-wall: Perception of 3D shape and affordances from static images in humans and machines.

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Claudio Michaelis, Marlene Weller, Christina Funke, Alexander S Ecker, Thomas SA Wallis, Matthias Bethge (2019). Comparing Search Strategies of Humans and Machines in Clutter.

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Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge (2019). Behavioural evidence for the existence of a spatiotopic free-viewing saliency map.

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Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S Ecker, Matthias Bethge, Wieland Brendel (2019). Benchmarking robustness in object detection: Autonomous driving when winter is coming.

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Tanmay Nath, Alexander Mathis, An Chi Chen, Amir Patel, Matthias Bethge, Mackenzie Weygandt Mathis (2019). Using DeepLabCut for 3D markerless pose estimation across species and behaviors.

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Thomas SA Wallis, Christina M Funke, Alexander S Ecker, Leon A Gatys, Felix A Wichmann, Matthias Bethge (2019). Image content is more important than Bouma’s Law for scene metamers.

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Santiago A Cadena, George H Denfield, Edgar Y Walker, Leon A Gatys, Andreas S Tolias, Matthias Bethge, Alexander S Ecker (2019). Deep convolutional models improve predictions of macaque V1 responses to natural images.

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Judith Borowski, Wieland Brendel, Matthias Bethge (2019). Reproducing Decision-Making With Constrained Networks to Understand Deep Neural Networks.

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Matthias Kümmerer, Thomas Wallis, Matthias Bethge (2019). Probing Neural Decision-Making in Behavioral Models of Scanpath Prediction.

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Christina Funke, Thomas Wallis, Judith Borowski, Claudio Michaelis, Alexander Ecker, Matthias Bethge (2019). Comparing Humans and Deep Neural Networks on Visual Shape Judgments in Cluttered Images.

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Wieland Brendel, Matthias Bethge (2019). Approximating cnns with bag-of-local-features models works surprisingly well on imagenet.

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M Bethge (2019). Lack of Robustness in Artificial Neural Networks.

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Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge (2019). Selecting Maximally-Predictive Deep Features to Explain What Drives Fixations in Free-Viewing.

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Zhe Li, Wieland Brendel, Edgar Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian Sinz, Zachary Pitkow, Andreas Tolias (2019). Learning from brains how to regularize machines.

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Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge (2019). Accurate, reliable and fast robustness evaluation.

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Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A Wichmann, Wieland Brendel (2018). ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

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Manivannan Subramaniyan, Alexander S Ecker, Saumil S Patel, R James Cotton, Matthias Bethge, Xaq Pitkow, Philipp Berens, Andreas S Tolias (2018). Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion.

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Jörn-Henrik Jacobsen, Jens Behrmann, Richard Zemel, Matthias Bethge (2018). Excessive invariance causes adversarial vulnerability.

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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 (2018). A rotation-equivariant convolutional neural network model of primary visual cortex.

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Matthias Kümmerer, Thomas Wallis, Matthias Bethge (2018). Extending deepgaze ii: Scanpath prediction from deep features.

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Alexander Mathis, Pranav Mamidanna, Kevin M Cury, Taiga Abe, Venkatesh N Murthy, Mackenzie Weygandt Mathis, Matthias Bethge (2018). DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.

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Christina Funke, Judy Borowski, Thomas Wallis, Wieland Brendel, Alexander Ecker, Matthias Bethge (2018). Comparing the ability of humans and DNNs to recognise closed contours in cluttered images.

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Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Marcel Salathé, Sharada P Mohanty, Matthias Bethge (2018). Adversarial vision challenge.

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A Mathis, P Mamidanna, T Abe, KM Cury, VM Murthy, MW Mathis, M Bethge (2018). Markerless tracking of user-defined anatomical features with deep learning.

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George H Denfield, Alexander S Ecker, Tori J Shinn, Matthias Bethge, Andreas S Tolias (2018). Attentional fluctuations induce shared variability in macaque primary visual cortex.

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Claudio Michaelis, Matthias Bethge, Alexander Ecker (2018). One-shot segmentation in clutter.

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RJ Cotton, AS Ecker, E Froudarakis, P Berens, M Bethge, P Saggau, AS Tolias (2018). Scaling of information in large sensory populations.

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Lukas Schott, Jonas Rauber, Matthias Bethge, Wieland Brendel (2018). Towards the first adversarially robust neural network model on MNIST.

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Philipp Berens, Jeremy Freeman, Thomas Deneux, Nikolay Chenkov, Thomas McColgan, Artur Speiser, Jakob H Macke, Srinivas C Turaga, Patrick Mineault, Peter Rupprecht, Stephan Gerhard, Rainer W Friedrich, Johannes Friedrich, Liam Paninski, Marius Pachitariu, Kenneth D Harris, Ben Bolte, Timothy A Machado, Dario Ringach, Jasmine Stone, Luke E Rogerson, Nicolas J Sofroniew, Jacob Reimer, Emmanouil Froudarakis, Thomas Euler, Miroslav Román Rosón, Lucas Theis, Andreas S Tolias, Matthias Bethge (2018). Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.

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Pranav Mamidanna, Claudio Michaelis, Alexander Mathis, Matthias Bethge (2018). Towards goal-driven deep neural network models to elucidate human arm proprioception.

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Alexander Böttcher, Wieland Brendel, Bernhard Englitz, Matthias Bethge (2018). Trace your sources in large-scale data: one ring to find them all.

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Wieland Brendel, Jonas Rauber, Matthias Bethge (2018). 伯克利 AI 研究院利用反向课程学习, 改善强化学习智能体.

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Matthias Kummerer, Thomas SA Wallis, Matthias Bethge (2018). Saliency benchmarking made easy: Separating models, maps and metrics.

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Steffen Schneider, Alexander S Ecker, Jakob H Macke, Matthias Bethge (2018). Salad: A toolbox for semi-supervised adaptive learning across domains.

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Steffen Schneider, Alexander S Ecker, Jakob H Macke, Matthias Bethge (2018). Multi-task generalization and adaptation between noisy digit datasets: An empirical study.

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Sergio Escalera, Markus Weimer, Mikhail Burtsev, Valentin Malykh, Varvara Logacheva, Ryan Lowe, Iulian Vlad Serban, Yoshua Bengio, Alexander Rudnicky, Alan W Black, Shrimai Prabhumoye, Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael F Ong, Jennifer L Hicks, Sergey Levine, Marcel Salathé, Scott Delp, Iker Huerga, Alexander Grigorenko, Leifur Thorbergsson, Anasuya Das, Kyla Nemitz, Jenna Sandker, Stephen King, Alexander S Ecker, Leon A Gatys, Matthias Bethge, Jordan Boyd-Graber, Shi Feng, Pedro Rodriguez, Mohit Iyyer, He He, Hal Daumé, Sean McGregor, Amir Banifatemi, Alexey Kurakin, Ian Goodfellow, Samy Bengio (2018). Introduction to NIPS 2017 Competition Track.

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Robert Geirhos, Carlos RM Temme, Jonas Rauber, Heiko H Schütt, Matthias Bethge, Felix A Wichmann (2018). Generalisation in humans and deep neural networks.

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Santiago A Cadena, Marissa A Weis, Leon A Gatys, Matthias Bethge, Alexander S Ecker (2018). Diverse feature visualizations reveal invariances in early layers of deep neural networks.

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Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge (2018). Consistent Saliency Benchmarking: How One Model Can Win on All Metrics.

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Leon A Gatys, Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge (2017). Guiding human gaze with convolutional neural networks.

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Wieland Brendel, Jonas Rauber, Matthias Bethge (2017). Decision-based adversarial attacks: Reliable attacks against black-box machine learning models.

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David A Klindt, Alexander S Ecker, Thomas Euler, Matthias Bethge (2017). Neural system identification for large populations separating what and where.

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Marcel Nonnenmacher, Christian Behrens, Philipp Berens, Matthias Bethge, Jakob H Macke (2017). Signatures of criticality arise from random subsampling in simple population models.

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Leon A Gatys, Alexander S Ecker, Matthias Bethge (2017). Texture and art with deep neural networks.

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Thomas SA Wallis, Christina M Funke, Alexander S Ecker, Leon A Gatys, Felix A Wichmann, Matthias Bethge (2017). A parametric texture model based on deep convolutional features closely matches texture appearance for humans.

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Thomas Wallis, Christina Funke, Alexander Ecker, Leon Gatys, Felix Wichmann, Matthias Bethge (2017). Towards matching peripheral appearance for arbitrary natural images using deep features.

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Robert Geirhos, David Janssen, Heiko Schütt, Matthias Bethge, Felix Wichmann (2017). Of human observers and deep neural networks: A detailed psychophysical comparison.

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O Vinogradov, AS Ecker, GH Denfield, AS Tolias, M Bethge (2017). Mixed latent variable model of attention in V1.

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Philipp Berens, Jeremy Freeman, Thomas Deneux, Nicolay Chenkov, Thomas McColgan, Artur Speiser, Jakob H Macke, Srinivas C Turaga, Patrick Mineault, Peter Rupprecht, Stephan Gerhard, Rainer W Friedrich, Johannes Friedrich, Liam Paninski, Marius Pachitariu, Kenneth D Harris, Ben Bolte, Timothy A Machado, Dario Ringach, Jasmine Stone, Nicolas J Sofroniew, Jacob Reimer, Emmanoulis Froudarakis, Thomas Euler, Miroslav Román Rosón, Lucas Theis, Andreas S Tolias, Matthias Bethge (2017). Community-based benchmarking improves spike inference from two-photon calcium imaging data.

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Jonas Rauber, Wieland Brendel, Matthias Bethge (2017). Foolbox: A python toolbox to benchmark the robustness of machine learning models.

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Robert Geirhos, David HJ Janssen, Heiko H Schütt, Jonas Rauber, Matthias Bethge, Felix A Wichmann (2017). Comparing deep neural networks against humans: object recognition when the signal gets weaker.

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Wieland Brendel, Matthias Bethge (2017). Comment on" Biologically inspired protection of deep networks from adversarial attacks".

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Thomas S A. Wallis, Saskia Tobias, Matthias Bethge, Felix A Wichmann (2017). Detecting distortions of peripherally presented letter stimuli under crowded conditions.

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M Bethge (2017). When will signatures of criticality provide critical insights about neural computations?.

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Katrin Franke, Philipp Berens, Timm Schubert, Matthias Bethge, Thomas Euler, Tom Baden (2017). Inhibition decorrelates visual feature representations in the inner retina.

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Christina M Funke, Leon A Gatys, Alexander S Ecker, Matthias Bethge (2017). Synthesising dynamic textures using convolutional neural networks.

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P Berens, L Theis, J Stone, N Sofroniew, A Tolias, M Bethge, J Freeman (2017). Standardizing and benchmarking data analysis for calcium imaging.

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Alexander Mathis, A Wei, A Ding, M Bethge, VN Murthy (2017). Boosting olfactory cocktail-party performance by semi-supervised learning in mice.

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Felix A Wichmann, David HJ Janssen, Robert Geirhos, Guillermo Aguilar, Heiko H Schütt, Marianne Maertens, Matthias Bethge (2017). Methods and measurements to compare men against machines.

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Matthias Kummerer, Thomas SA Wallis, Leon A Gatys, Matthias Bethge (2017). Understanding low-and high-level contributions to fixation prediction.

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Matthias Kümmerer, Thomas SA Wallis, Leon A Gatys, Matthias Bethge (2017). Predicting Fixations From Deep and Low-Level Features.

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K Franke, P Berens, T Schubert, M Bethge, T Euler (2017). Die Retina im Rausch der Kanäle.

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Leon A Gatys, Alexander S Ecker, Matthias Bethge, Aaron Hertzmann, Eli Shechtman (2017). Controlling perceptual factors in neural style transfer.

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Thomas S Wallis, Christina M Funke, Alexander S Ecker, Leon A Gatys, Felix A Wichmann, Matthias Bethge (2016). Towards matching the peripheral visual appearance of arbitrary scenes using deep convolutional neural networks.

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Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge (2016). DeepGaze II: Reading fixations from deep features trained on object recognition.

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M Kümmerer, TSA Wallis, M Bethge (2016). DeepGaze II: Explaining nearly all information in image-based saliency using features trained on object detection.

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A Boettcher, W Brendel, M Bethge (2016). Large scale blind source separation.

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Alexander Mathis, Dan Rokni, Vikrant Kapoor, Matthias Bethge, Venkatesh N Murthy (2016). Reading out olfactory receptors: feedforward circuits detect odors in mixtures without demixing.

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I Ustyuzhaninov, W Brendel, L Gatys, M Bethge (2016). Texture synthesis using random shallow neural networks.

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Reshad Hosseini, S Sra, L Theis, M Bethge (2016). Statistical inference with the Elliptical Gamma Distribution.

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Reshad Hosseini, Suvrit Sra, Lucas Theis, Matthias Bethge (2016). Inference and mixture modeling with the Elliptical Gamma Distribution.

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M Bethge, W Brendel (2016). Deep Neural Networks: A New Tool for Understanding the Brain.

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Thomas Wallis, Alexander Ecker, Leon Gatys, Christina Funke, Felix Wichmann, Matthias Bethge (2016). Seeking summary statistics that match peripheral visual appearance using naturalistic textures generated by Deep Neural Networks.

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Matthias Kammerer, Matthias Bethge (2016). DeepGaze II: A big step towards explaining all information in image-based saliency.

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Leon A Gatys, Matthias Bethge, Aaron Hertzmann, Eli Shechtman (2016). Preserving color in neural artistic style transfer.

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M Bethge (2016). Understanding Complex Neural Network Computations.

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GH Denfield, AS Ecker, M Bethge, AS Tolias (2016). Correlated variability in population activity: noise or signature of internal computations.

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Ivan Ustyuzhaninov, Wieland Brendel, Leon A Gatys, Matthias Bethge (2016). Texture synthesis using shallow convolutional networks with random filters.

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Lucas Theis, Philipp Berens, Emmanouil Froudarakis, Jacob Reimer, Miroslav Román Rosón, Tom Baden, Thomas Euler, Andreas S Tolias, Matthias Bethge (2016). Benchmarking spike rate inference in population calcium imaging.

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Alexander S Ecker, George H Denfield, Matthias Bethge, Andreas S Tolias (2016). On the structure of neuronal population activity under fluctuations in attentional state.

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M Bethge, L Theis, P Berens, E Froudarakis, J Reimer, M Roman-Roson, T Baden, T Euler, A Tolias (2016). Supervised learning sets benchmark for robust spike rate inference from calcium imaging signals.

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Cathryn R Cadwell, Athanasia Palasantza, Xiaolong Jiang, Philipp Berens, Qiaolin Deng, Marlene Yilmaz, Jacob Reimer, Shan Shen, Matthias Bethge, Kimberley F Tolias, Rickard Sandberg, Andreas S Tolias (2016). Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq.

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Tom Baden, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Thomas Euler (2016). The functional diversity of retinal ganglion cells in the mouse.

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Matthias Kümmerer, Matthias Bethge (2016). Using Deep Features to Predict Where People Look.

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Leon A Gatys, Alexander S Ecker, Matthias Bethge (2016). Texture Modelling Using Convolutional Neural Networks.

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Leon A Gatys, Alexander S Ecker, Matthias Bethge (2016). Image style transfer using convolutional neural networks.

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S Cadena, A Ecker, G Denfield, E Walker, A Tolias, M Bethge (2016). A goal-driven deep learning approach for V1 system identification.

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Matthias Kümmerer, Thomas SA Wallis, Matthias Bethge (2015). Information-theoretic model comparison unifies saliency metrics.

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M Bethge (2015). Let's compete: Benchmarking models in neuroscience.

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Lucas Theis, Aäron van den Oord, Matthias Bethge (2015). A note on the evaluation of generative models.

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Holly E Gerhard, Lucas Theis, Matthias Bethge (2015). Modeling natural image statistics.

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JR Cotton, AS Ecker, E Froudarakis, Philipp Berens, M Bethge, P Saggau, AS Tolias (2015). Scaling of information in large sensory neuronal populations.

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Thomas Wallis, Matthias Bethge, Felix Wichmann (2015). Metamers of the ventral stream revisited.

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Leon A Gatys, Alexander S Ecker, Matthias Bethge (2015). A neural algorithm of artistic style.

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Matthias Bethge (2015). Practical tools for complex data: predicting spikes from stimulus and calcium imaging signals.

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Thomas Euler, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Tom Baden (2015). Unexpected functional diversity among mouse retinal ganglion cell types.

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Leon A Gatys, Alexander S Ecker, Tatjana Tchumatchenko, Matthias Bethge (2015). Synaptic unreliability facilitates information transmission in balanced cortical populations.

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Niklas Ludtke, Debapriya Das, Lucas Theis, Matthias Bethge (2015). A generative model of natural texture surrogates.

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Alexander S Ecker, George H Denfield, Matthias Bethge, Andreas S Tolias (2015). On the structure of population activity under fluctuations in attentional state.

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T Baden, K Franke, S Pop, MR Roson, R Kemmler, P Berens, M Bethge, T Schubert, T Euler (2015). Following the visual signal across the entire mouse retina: From cone calcium to ganglion cell spikes.

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Marcel Nonnenmacher, C Behrens, P Berens, M Bethge, J Macke (2015). Correlations and signatures of criticality in neural population models.

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Suvrit Sra, Reshad Hosseini, Lucas Theis, Matthias Bethge (2015). Data modeling with the elliptical gamma distribution.

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Leon Gatys, Alexander S Ecker, Matthias Bethge (2015). Texture synthesis using convolutional neural networks.

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Lucas Theis, Matthias Bethge (2015). Generative image modeling using spatial lstms.

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Leon A Gatys, Alexander S Ecker, Matthias Bethge (2015). A neural algorithm of artistic style. arXiv.

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Matthias Kümmerer, Lucas Theis, Matthias Bethge (2014). Deep gaze i: Boosting saliency prediction with feature maps trained on imagenet.

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Fabian H Sinz, Jörn-Philipp Lies, Sebastian Gerwinn, Matthias Bethge (2014). Natter: A Python Natural Image Statistics Toolbox.

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K Franke, T Baden, Philipp Berens, M Rezac, Matthias Bethge, T Euler (2014). What the mouse eye tells the mouse brain: Fingerprinting the retinal ganglion cell types of the mouse retina.

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Matthias Bethge (2014). Natural image statistics neural representation learning.

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A Boettcher, Matthias Bethge (2014). Information theoretic analysis of neural populations.

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Shun-ichi Amari, Christos Dimitrakakis, Satinder Singh, Tamim Asfour, Michael Beetz, Matthias Bethge, Keyan Ghazi-Zahedi, Thomas Martinetz, Helge Ritter, Friedrich Sommer, Marc Toussaint, Marion Lange, Nihat Ay (2014). Autonomous Learning.

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P Berens, T Baden, K Franke, M Rezac, M Bethge, T Euler (2014). What the Mouse Eye Tells the Mouse Brain: A Semi-Supervised Clustering Approach for Fingerprinting the Retinal Ganglion Cell Types of the Mouse Retina.

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Emmanouil Froudarakis, Philipp Berens, Alexander S Ecker, R James Cotton, Fabian H Sinz, Dimitri Yatsenko, Peter Saggau, Matthias Bethge, Andreas S Tolias (2014). Population code in mouse V1 facilitates readout of natural scenes through increased sparseness.

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Alexander S Ecker, Philipp Berens, R James Cotton, Manivannan Subramaniyan, George H Denfield, Cathryn R Cadwell, Stelios M Smirnakis, Matthias Bethge, Andreas S Tolias (2014). State dependence of noise correlations in macaque primary visual cortex.

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Jörn-Philipp Lies, Ralf M Häfner, Matthias Bethge (2014). Slowness and sparseness have diverging effects on complex cell learning.

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Matthias Bethge (2014). Efficient Population Coding.

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LA Gatys, AS Ecker, T Tchumatchenko, M Bethge (2014). How much signal is there in the noise?.

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Lucas Theis, Andrè Maia Chagas, Daniel Arnstein, Cornelius Schwarz, Matthias Bethge (2013). Beyond GLMs: a generative mixture modeling approach to neural system identification.

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Fabian H Sinz, Matthias Bethge (2013). What is the limit of redundancy reduction with divisive normalization?.

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M Bethge (2013). Beyond GLMs: A generative mixture modeling approach to neural system identification.

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T Baden, P Berens, K Franke, M Rezac, M Bethge, T Euler (2013). What the mouse eye tells the mouse brain: Recording the entire visual representation along the vertical pathway in the retina.

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T Farzami, L Theis, M Bethge (2013). Neural Adaptation as Bayesian Inference.

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L Gatys, AS Ecker, T Tchumatchenko, M Bethge (2013). Information Coding in the Variance of Neural Activity.

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Tom Baden, Philipp Berens, Matthias Bethge, Thomas Euler (2013). Recording the entire visual representation along the vertical pathway in the retina.

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T Baden, P Berens, M Bethge, T Euler (2013). The bipolar cell terminal as a selective spatio-temporal filter.

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P Berens, T Baden, M Bethge, T Euler (2013). Recording the entire visual representation along the vertical pathway in the mammalian retina.

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E Froudarakis, P Berens, JR Cotton, AS Ecker, P Saggau, M Bethge, AS Tolias (2013). Encoding of natural scene statistics in the primary visual cortex of the mouse.

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M Bethge, N Luedtke, D Das, L Theis (2013). A generative model of natural images as patchworks of textures.

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Ralf M Haefner, Sebastian Gerwinn, Jakob H Macke, Matthias Bethge (2013). Inferring decoding strategies from choice probabilities in the presence of correlated variability.

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Fabian Sinz, Matthias Bethge (2013). Temporal adaptation enhances efficient contrast gain control on natural images.

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Holly E Gerhard, Felix A Wichmann, Matthias Bethge (2013). How sensitive is the human visual system to the local statistics of natural images?.

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Tom Baden, Philipp Berens, Matthias Bethge, Thomas Euler (2013). Spikes in mammalian bipolar cells support temporal layering of the inner retina.

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Matthias Bethge, Jascha Sohl-Dickstein, Lucas Theis (2013). Training sparse natural image models with a fast Gibbs sampler of an extended state space.

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H Gerhard, M Bethge (2012). Sensitivity to the local shape information of natural images.

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Philipp Berens, Alexander S Ecker, R James Cotton, Wei Ji Ma, Matthias Bethge, Andreas S Tolias (2012). A fast and simple population code for orientation in primate V1.

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Lucas Theis, Reshad Hosseini, Matthias Bethge (2012). Mixtures of conditional Gaussian scale mixtures applied to multiscale image representations.

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AS Ecker, P Berens, AS Tolias, M Bethge (2012). The correlation structure induced by fluctuations in attention.

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Tom Putzeys, Matthias Bethge, Felix Wichmann, Johan Wagemans, Robbe Goris (2012). A new perceptual bias reveals suboptimal population decoding of sensory responses.

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Matthias Bethge (2012). Natural image statistics, 85% explained.

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Tom Baden, Philipp Berens, Matthias Bethge, Thomas Euler (2012). What information does the eye send to the brain? Recording the entire visual output at a single retinal location.

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Frank Schaeffel, Arne Ohlendorf, Matthias Bethge (2012). Surprising Speed Jitter Invariance Of Pattern Matching In Random Dot Stereopsis.

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Ralf Haefner, Sebastian Gerwinn, Jakob Macke, Matthias Bethge (2012). Inferring decoding strategy from choice probabilities in the presence of noise correlations.

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H Gerhard, M Bethge (2012). Perceptual relevance of neurally-inspired natural image models evaluated via contour discrimination.

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Lucas Theis, Jascha Sohl-Dickstein, Matthias Bethge (2012). Training sparse natural image models with a fast Gibbs sampler of an extended state space.

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Matthias Bethge, Philipp Berens, Jakob Macke (2012). Statistical analysis of multi-cell recordings: linking population coding models to experimental data.

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L Theis, R Hosseini, M Bethge (2012). Mixtures of conditional Gaussian scale mixtures: the best model for natural images.

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RM Haefner, S Gerwinn, JH Macke, M Bethge (2011). Relationship between decoding strategy, choice probabilities and neural correlations in perceptual decision-making task.

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P Lies, RM Häfner, M Bethge (2011). Slow Subspace Analysis: a New Algorithm for Invariance Learning.

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D Arnstein, L Theis, AM Chagas, M Bethge, C Schwarz (2011). LNP Analysis of Primary Whisker Afferents.

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L Theis, R Hosseini, M Bethge (2011). A multiscale model of natural images.

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Thomas Kitching, Adam Amara, Mandeep Gill, Stefan Harmeling, Catherine Heymans, Richard Massey, Barnaby Rowe, Tim Schrabback, Lisa Voigt, Sreekumar Balan, Gary Bernstein, Matthias Bethge, Sarah Bridle, Frédéric Courbin, Marc Gentile, Alan Heavens, Michael Hirsch, Reshad Hosseini, Alina Kiessling, Donnacha Kirk, Konrad Kuijken, Rachel Mandelbaum, Baback Moghaddam, Guldariya Nurbaeva, Stephane Paulin-Henriksson, Anais Rassat, Jason Rhodes, Bernhard Schölkopf, John Shawe-Taylor, Marina Shmakova, Andy Taylor, Malin Velander, Ludovic Van Waerbeke, Dugan Witherick, David Wittman (2011). Gravitational lensing accuracy testing 2010 (GREAT10) challenge handbook.

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Alexander Ecker, Philipp Berens, Andreas Tolias, Matthias Bethge (2011). The effect of noise correlations in populations of diversely tuned neurons.

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Jakob Macke, Philipp Berens, Matthias Bethge (2011). Statistical analysis of multi-cell recordings: linking population coding models to experimental data.

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Jakob H Macke, Manfred Opper, Matthias Bethge (2011). Common input explains higher-order correlations and entropy in a simple model of neural population activity.

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Jakob H Macke, Sebastian Gerwinn, Leonard E White, Matthias Kaschube, Matthias Bethge (2011). Gaussian process methods for estimating cortical maps.

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Philipp Berens, Alexander S Ecker, Sebastian Gerwinn, Andreas S Tolias, Matthias Bethge (2011). Reassessing optimal neural population codes with neurometric functions.

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H Gerhard, TV Wiecki, FA Wichmann, Matthias Bethge (2011). Perceptual Sensitivity to Statistical Regularities in Natural Images.

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Sebastian Gerwinn, Jakob H Macke, Matthias Bethge (2011). Reconstructing stimuli from the spike times of leaky integrate and fire neurons.

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JH Macke, M Opper, M Bethge (2011). The effect of common input on higher-order correlations and entropy in neural populations.

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Philipp Berens, Alexander Ecker, Sebastian Gerwinn, Andreas Tolias, Matthias Bethge (2011). Optimal Population Coding, Revisited.

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Lucas Theis, Sebastian Gerwinn, Fabian Sinz, Matthias Bethge (2010). In All Likelihood, Deep Belief Is Not Enough.

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JH Macke, S Gerwinn, LE White, M Kaschube, M Bethge (2010). Estimating cortical maps with Gaussian process models.

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M Bethge (2010). An analytically tractable model of neural population activity in the presence of common input explains high-order correlations and entropy.

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Jakob H Macke, Manfred Opper, Matthias Bethge (2010). An analytically tractable model of neural population activity in the presence of common input explains higher-order correlations and entropy.

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JP Lies, R Häfner, M Bethge (2010). What is the Goal of Complex Cell Coding in V1?.

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S Gerwinn, JH Macke, M Bethge (2010). Toolbox for inference in generalized linear models of spiking neurons.

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R Hosseini, F Sinz, M Bethge (2010). New Estimate for the Redundancy of Natural Images.

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L Theis, S Gerwinn, F Sinz, M Bethge (2010). Likelihood Estimation in Deep Belief Networks.

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Sarah Bridle, Sreekumar T Balan, Matthias Bethge, Marc Gentile, Stefan Harmeling, Catherine Heymans, Michael Hirsch, Reshad Hosseini, Mike Jarvis, Donnacha Kirk, Thomas Kitching, Konrad Kuijken, Antony Lewis, Stephane Paulin-Henriksson, Bernhard Schölkopf, Malin Velander, Lisa Voigt, Dugan Witherick, Adam Amara, Gary Bernstein, Frédéric Courbin, Mandeep Gill, Alan Heavens, Rachel Mandelbaum, Richard Massey, Baback Moghaddam, Anais Rassat, Alexandre Réfrégier, Jason Rhodes, Tim Schrabback, John Shawe-Taylor, Marina Shmakova, Ludovic Van Waerbeke, David Wittman (2010). Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing.

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AS Ecker, P Berens, GA Keliris, M Bethge, NK Logothetis, AS Tolias (2010). Decorrelated Firing in Cortical Microcircuits.

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Ralf Haefner, Sebastian Gerwinn, Jakob Macke, Matthias Bethge (2010). Implications of correlated neuronal noise in decision making circuits for physiology and behavior.

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Alexander S Ecker, Philipp Berens, Georgios A Keliris, Matthias Bethge, Nikos K Logothetis, Andreas S Tolias (2010). Decorrelated neuronal firing in cortical microcircuits.

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Haefner Ralf, Matthias Bethge (2010). Evaluating neuronal codes for inference using Fisher information.

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Sebastian Gerwinn, Jakob H Macke, Matthias Bethge (2010). Bayesian inference for generalized linear models for spiking neurons.

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M Bethge, R Hosseini (2009). Method and device for image compression.

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Jörn-Philipp Lies, Jimmy Wang, Jascha Sohl-Dickstein, Bruno A Olshausen, Matthias Bethge (2009). Unsupervised learning of disparity maps from stereo images.

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Ralf M Haefner, Sebastian Gerwinn, Jakob H Macke, Matthias Bethge (2009). Neuronal decision-making with realistic spiking models.

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Tom Putzeys, Robbe Goris, Johan Wagemans, Matthias Bethge (2009). Inferring characteristics of stimulus encoding mechanisms using rippled noise stimuli.

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Reshad Hosseini, Matthias Bethge (2009). Hierarchical models of natural images.

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Fabian Sinz, Sebastian Gerwinn, Matthias Bethge (2009). Characterization of the p-generalized normal distribution.

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Jan Eichhorn, Fabian Sinz, Matthias Bethge (2009). Natural image coding in V1: how much use is orientation selectivity?.

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Jakob H Macke, Manfred Opper, Matthias Bethge (2009). The effect of pairwise neural correlations on global population statistics.

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Jakob H Macke, Philipp Berens, Alexander S Ecker, Andreas S Tolias, Matthias Bethge (2009). Generating spike trains with specified correlation coefficients.

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P Berens, JH Macke, AS Ecker, RJ Cotton, M Bethge, AS Tolias (2009). Sensory input statistics and network mechanisms in primate primary visual cortex.

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P Berens, S Gerwinn, AS Ecker, M Bethge (2009). Neurometric function analysis of short-term population codes.

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F Sinz, M Bethge (2009). A new class of distributions for natural images generalizing independent subspace analysis.

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Jörn-Philipp Lies, Matthias Bethge (2008). Image library for unsupervised learning of depth from stereo.

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Jakob Macke, Manfred Opper, Matthias Bethge (2008). How pairwise correlations affect the redundancy in large populations of neurons.

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J Kosten, D Greenberg, M Bethge, J Kerr (2008). Going to temporal superresolution for AP detection in two photon calcium imaging in vivo by using an explicit datamodel.

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M Bethge (2008). Hoch much can bandpass filtering, orientation selectivity, and divisive normalization contribute to the reduction of redundancy in natural images?.

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M Bethge (2008). Sensory coding of natural images: bandpass filtering, orientation selectivity and contrast gain control.

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F Sinz, M Bethge (2008). Redundancy Reduction in Natural Images: Quantifying the Effect of Orientation Selectivity and Contrast Gain Control.

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JH Macke, P Berens, AS Ecker, M Opper, AS Tolias, M Bethge (2008). Modeling populations of spiking neurons with the Dichotomized Gaussian distribution.

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M Bethge, JH Macke, P Berens, AS Ecker, AS Tolias (2008). Flexible Models for Population Spike Trains.

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A Ecker, P Berens, A Hoenselaar, M Subramaniyan, A Tolias, M Bethge (2008). Towards the neural basis of the flash-lag effect.

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P Berens, A Ecker, M Subramaniyan, J Macke, P Hauck, M Bethge, A Tolias (2008). Pairwise Correlations and Multineuronal Firing Patterns in the Primary Visual Cortex of the Awake, Behaving Macaque.

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M Bethge, J Eichhorn (2007). Linking V1 receptive field properties to optimal coding principles.

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JH Macke, G Zeck, M Bethge (2007). Estimating receptive fields without spike-triggering.

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AS Ecker, P Berens, M Bethge, NK Logothetis, AS Tolias (2007). Studying the effects of noise correlations on population coding using a sampling method.

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M Bethge (2007). Bayesian Inference of Neural Population Codes with a Sparsity Prior.

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Matthias Bethge, Thomas V Wiecki, Felix A Wichmann (2007). The independent components of natural images are perceptually dependent.

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Matthias Bethge, Sebastian Gerwinn, Jakob H Macke (2007). Unsupervised learning of a steerable basis for invariant image representations.

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Matthias Bethge, Jakob H Macke, Sebastian Gerwinn, Günther Zeck (2007). Identifying temporal population codes in the retina using canonical correlation analysis.

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Jakob H Macke, Günther Zeck, Matthias Bethge (2007). Estimating Population Receptive Fields in Space and Time.

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M Bethge, C Kayser (2007). Do We Know What the Early Visual System Computes?.

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Sebastian Gerwinn, Matthias Seeger, Günther Zeck, Matthias Bethge (2007). Bayesian Receptive Fields and Neural Couplings with Sparsity Prior and Error Bars.

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M Bethge, S Gerwinn, JH Macke (2007). Unsupervised learning of a steerable basis for invariant image representations [6492-10].

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Matthias Bethge, Philipp Berens (2007). Near-maximum entropy models for binary neural representations of natural images.

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Matthias Bethge (2007). Der kollektiven Signalverarbeitung von Nervenzellen auf der Spur.

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Sebastian Gerwinn, Matthias Bethge, Jakob H Macke, Matthias Seeger (2007). Bayesian inference for spiking neuron models with a sparsity prior.

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M Bethge (2006). Factorial coding of natural images: How effective are linear filters in removing higher-order dependencies?.

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Sebastian Gerwinn, Matthias Seeger, Günther Zeck, Matthias Bethge (2006). Bayesian Neural System identification: error bars, receptive fields and neural couplings.

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Matthias Bethge (2006). Factorial coding of natural images: how effective are linear models in removing higher-order dependencies?.

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Gilad Silberberg, M Bethge, H Markram, K Pawelzik, Michail Tsodyks (2004). Dynamics of population rate codes in ensembles of neocortical neurons.

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Chaouki Abdallah, Masaharu Adachi, Masato Akagi, Shotaro Akaho, Igor Aleksander, Shun-ichi Amari, Katrin Amunts, Toru Aonishi, Toshio Aoyagi, O Araki, Michael Arbib, Nobuhiko Asakura, Hideki Asoh, Volker Baier, J Gonzalo Barajas-Ramirez, Billur Barshan, Simone Bassis, Matthias Bethge, Upinder Singh Bhalla, Valerie Bieu, SA Billings, Kim T Blackwell, Kostas Blekas, Alla Borisyuk, Mihail Bota, Jos de Brabanter, S Brunak, Guido Bugmann, J Buhmann, Jean Bullier, Tim Burt, Jinde Cao, Yongqiang Cao, Carlos Cepeda, Stephan Chalup, Lueonan Chen, TP Chen, Tianping Chen, Xue-Wen Chen, Dante R Chialvo (2004). Neural Networks Referees in 2003.

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Matthias Bethge (2003). Codes and goals of neuronal representations.

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M Bethge, D Rotermund, K Pawelzik (2003). Optimal neural rate coding leads to bimodal firing rate distributions.

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Matthias Bethge, David Rotermund, Klaus Pawelzik (2003). Second order phase transition in neural rate coding: binary encoding is optimal for rapid signal transmission.

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Matthias Bethge, David Rotermund, Klaus Pawelzik (2003). Interdisciplinary Physics: Biological Physics, Quantum Information, etc.-Second Order Phase Transition in Neural Rate Coding: Binary Encoding is Optimal for Rapid Signal ….

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M Bethge, K Pawelzik (2003). Geheimsprache der Neuronen.

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Klaus Pawelzik, Matthias Bethge (2003). El lenguaje de las neuronas.

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Matthias Bethge, Klaus Pawelzik (2003). El lenguaje de las neuronas.

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Matthias Bethge, David Rotermund, Klaus Pawelzik (2002). Optimal short-term population coding: When Fisher information fails.

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Matthias Bethge, Klaus Pawelzik (2002). Population coding with unreliable spikes.

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K Pawelzik, M Bethge (2002). Geheimsprache der Neuronen.

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Matthias Bethge, David Rotermund, Klaus Pawelzik (2002). Binary tuning is optimal for neural rate coding with high temporal resolution.

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Matthias Bethge, Klaus Pawelzik (2001). Synchronous inhibition as a mechanism for unbiased selective gain control.

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Jan Benda, Matthias Bethge, Matthias Hennig, Klaus Pawelzik, Andreas VM Herz (2001). Spike-frequency adaptation: phenomenological model and experimental tests.

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J Benda, M Bethge, M Hennig, K Pawelzik, AVM Herz (2000). Spike-Frequency Adaptation: Phenomenological.

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M Bethge, KR Pawelzik (2000). A physiological model of gain control. By synchrony.

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Matthias Bethge, Klaus Pawelzik, Theo Geisel (1999). Brief pauses as signals for degressing synapses.

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M Bethge, K Pawelzik, T Geisel (1998). Coherence detection with dynamic synapses.

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