Publications

Publications

2020

M. Rolínek, V. Musil, A. Paulus, M. Vlastelica, C. Michaelis, G. Martius
Optimizing Rank-based Metrics with Blackbox Differentiation
Computer Vision and Pattern Recognition (CVPR), 2020
@inproceedings{Rolínek2019a, title: {Optimizing Rank-based Metrics with Blackbox Differentiation}, author: {M. Rolínek, V. Musil, A. Paulus, M. Vlastelica, C. Michaelis, G. Martius}, year: {2020}, booktitle: {Computer Vision and Pattern Recognition (CVPR)}, }
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I. Ustyuzhaninov, S. A. Cadena, E. Froudarakis, P. G. Fahey, E. Y. Walker, E. Cobos, J. Reimer, F. H. Sinz, A. S. Tolias, M. Bethge, A. S. Ecker
Rotation-invariant clustering of functional cell types in primary visual cortex
International Conference on Learning Representations (ICLR), 2020
@inproceedings{Ustyuzhaninov2020a, title: {Rotation-invariant clustering of functional cell types in primary visual cortex}, author: {I. Ustyuzhaninov, S. A. Cadena, E. Froudarakis, P. G. Fahey, E. Y. Walker, E. Cobos, J. Reimer, F. H. Sinz, A. S. Tolias, M. Bethge, A. S. Ecker}, year: {2020}, booktitle: {International Conference on Learning Representations (ICLR)}, }
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Z. Zhao, D. Klindt, A. M. Chagas, K. P. Szatko, L. Rogerson, D. Protti, C. Behrens, D. Dalkara, T. Schubert, M. Bethge, K. Franke, P. Berens, A. S. Ecker, T. Euler
The temporal structure of the inner retina at a single glance
Scientific Reports, 2020
@article{Z*2020a, title: {The temporal structure of the inner retina at a single glance}, author: {Z. Zhao, D. Klindt, A. M. Chagas, K. P. Szatko, L. Rogerson, D. Protti, C. Behrens, D. Dalkara, T. Schubert, M. Bethge, K. Franke, P. Berens, A. S. Ecker, T. Euler}, year: {2020}, journal: {Scientific Reports}, }
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M. A. Weis, K. Chitta, Y. Sharma, W. Brendel, M. Bethge, A. Geiger, A. S. Ecker
Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences
arXiv, 2020
@article{Weis2020, title: {Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences}, author: {M. A. Weis, K. Chitta, Y. Sharma, W. Brendel, M. Bethge, A. Geiger, A. S. Ecker}, year: {2020}, journal: {arXiv}, }
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2019

A. S. Ecker, F. H. Sinz, E. Froudarakis, P. G. Fahey, S. A. Cadena, E. Y. Walker, E. Cobos, J. Reimer, A. S. Tolias, M. Bethge
A rotation-equivariant convolutional neural network model of primary visual cortex
International Conference on Learning Representations (ICLR), 2019
@inproceedings{ecker_2019, title: {A rotation-equivariant convolutional neural network model of primary visual cortex}, author: {A. S. Ecker, F. H. Sinz, E. Froudarakis, P. G. Fahey, S. A. Cadena, E. Y. Walker, E. Cobos, J. Reimer, A. S. Tolias, M. Bethge}, year: {2019}, journal: {International Conference on Learning Representations (ICLR)}, }
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C. Michaelis, B. Mitzkus, R. Geirhos, E. Rusak, O. Bringmann, A. S. Ecker, M. Bethge, W. Brendel
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Machine Learning for Autonomous Driving Workshop, NeurIPS 2019, 2019
@inproceedings{michaelis2019dragon, title: {Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming}, author: {C. Michaelis, B. Mitzkus, R. Geirhos, E. Rusak, O. Bringmann, A. S. Ecker, M. Bethge, W. Brendel}, year: {2019}, booktitle: {Machine Learning for Autonomous Driving Workshop, NeurIPS 2019}, }
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S. A. Cadena, G. H. Denfield, E. Y. Walker, L. A. Gatys, A. S. Tolias, M. Bethge, A. S. Ecker
Deep convolutional models improve predictions of macaque V1 responses to natural images
PLoS Computational Biology, 2019
@article{Cadena2019, title: {Deep convolutional models improve predictions of macaque V1 responses to natural images}, author: {S. A. Cadena, G. H. Denfield, E. Y. Walker, L. A. Gatys, A. S. Tolias, M. Bethge, A. S. Ecker}, year: {2019}, journal: {PLoS Computational Biology}, }
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S. A. Cadena, F. H. Sinz, T. Muhammad, E. Froudarakis, E. Cobos, E. Y. Walker, J. Reimer, M. Bethge, A. Tolias, A. S. Ecker
How well do deep neural networks trained on object recognition characterize the mouse visual system?
NeurIPS Neuro AI Workshop, 2019
@inproceedings{Cadena2019b, title: {How well do deep neural networks trained on object recognition characterize the mouse visual system?}, author: {S. A. Cadena, F. H. Sinz, T. Muhammad, E. Froudarakis, E. Cobos, E. Y. Walker, J. Reimer, M. Bethge, A. Tolias, A. S. Ecker}, year: {2019}, journal: {NeurIPS Neuro AI Workshop}, }
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R. Geirhos, P. Rubisch, C. Michaelis, M. Bethge, F. A. Wichmann, W. Brendel
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
International Conference on Learning Representations (ICLR), 2019
@inproceedings{Geirhos2019a, title: {ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness}, author: {R. Geirhos, P. Rubisch, C. Michaelis, M. Bethge, F. A. Wichmann, W. Brendel}, year: {2019}, journal: {International Conference on Learning Representations (ICLR)}, }
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E. Y. Walker, F. H. Sinz, E. Froudarakis, P. G. Fahey, T. Muhammad, A. S. Ecker, E. Cobos, J. Reimer, X. Pitkow, A. S. Tolias
Inception loops discover what excites neurons most using deep predictive models
Nature Neuroscience, 2019
@article{Walker2019, title: {Inception loops discover what excites neurons most using deep predictive models}, author: {E. Y. Walker, F. H. Sinz, E. Froudarakis, P. G. Fahey, T. Muhammad, A. S. Ecker, E. Cobos, J. Reimer, X. Pitkow, A. S. Tolias}, year: {2019}, journal: {Nature Neuroscience}, }
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M. F. Burg, S. A. Cadena, G. H. Denfield, E. Y. Walker, A. S. Tolias, M. Bethge, A. S. Ecker
Learning Divisive Normalization in Primary Visual Cortex
bioRxiv, 2019
@article{burg2019learning, title: {Learning Divisive Normalization in Primary Visual Cortex}, author: {M. F. Burg, S. A. Cadena, G. H. Denfield, E. Y. Walker, A. S. Tolias, M. Bethge, A. S. Ecker}, year: {2019}, journal: {bioRxiv}, }
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2018

G. H. Denfield, A. S. Ecker, T. J. Shinn, M. Bethge, A. S. Tolias
Attentional fluctuations induce shared variability in macaque primary visual cortex
Nature Communications, 2018
@article{Denfield2018, title: {Attentional fluctuations induce shared variability in macaque primary visual cortex}, author: {G. H. Denfield, A. S. Ecker, T. J. Shinn, M. Bethge, A. S. Tolias}, year: {2018}, journal: {Nature Communications}, }
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S. A. Cadena, M. A. Weis, L. A. Gatys, M. Bethge, A. S. Ecker
Diverse feature visualizations reveal invariances in early layers of deep neural networks
The European Conference on Computer Vision (ECCV), 2018
@inproceedings{Cadena2018a, title: {Diverse feature visualizations reveal invariances in early layers of deep neural networks}, author: {S. A. Cadena, M. A. Weis, L. A. Gatys, M. Bethge, A. S. Ecker}, year: {2018}, journal: {The European Conference on Computer Vision (ECCV)}, }
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M. Subramaniyan, A. S. Ecker, S. S. Patel, R. J. Cotton, M. Bethge, X. Pitkow, P. Berens, A. S. Tolias
Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion
Journal of Neurophysiology, 2018
@article{Subramaniyan2018a, title: {Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion}, author: {M. Subramaniyan, A. S. Ecker, S. S. Patel, R. J. Cotton, M. Bethge, X. Pitkow, P. Berens, A. S. Tolias}, year: {2018}, journal: {Journal of Neurophysiology}, }
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T. S. A. Wallis, C. M. Funke, A. S. Ecker, L. A. Gatys, F. A. Wichmann, M. Bethge
Image content is more important than Bouma's Law for scene metamers
bioRXiv, 2018
@article{Wallis2018a, title: {Image content is more important than Bouma's Law for scene metamers}, author: {T. S. A. Wallis, C. M. Funke, A. S. Ecker, L. A. Gatys, F. A. Wichmann, M. Bethge}, year: {2018}, journal: {bioRXiv}, }
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S. Schneider, A. S. Ecker, J. H. Macke, M. Bethge
Multi-Task Generalization and Adaptation between Noisy Digit Datasets: An Empirical Study
NeurIPS Continual Learning Workshop, 2018
@inproceedings{schneider2018multitask, title: {Multi-Task Generalization and Adaptation between Noisy Digit Datasets: An Empirical Study}, author: {S. Schneider, A. S. Ecker, J. H. Macke, M. Bethge}, year: {2018}, journal: {NeurIPS Continual Learning Workshop}, }
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C. Michaelis, I. Ustyuzhaninov, M. Bethge, A. S. Ecker
One-Shot Instance Segmentation
arXiv, 2018
@article{Michaelis2018b, title: {One-Shot Instance Segmentation}, author: {C. Michaelis, I. Ustyuzhaninov, M. Bethge, A. S. Ecker}, year: {2018}, journal: {arXiv}, }
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C. Michaelis, M. Bethge, A. S. Ecker
One-Shot Segmentation in Clutter
ICML, 2018
@inproceedings{Michaelis2018a, title: {One-Shot Segmentation in Clutter}, author: {C. Michaelis, M. Bethge, A. S. Ecker}, year: {2018}, booktitle: {ICML}, }
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I. Ustyuzhaninov, C. Michaelis, W. Brendel, M. Bethge
One-shot Texture Segmentation
arXiv, 2018
@article{Ustyuzhaninov2018a, title: {One-shot Texture Segmentation}, author: {I. Ustyuzhaninov, C. Michaelis, W. Brendel, M. Bethge}, year: {2018}, journal: {arXiv}, }
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S. Schneider, A. S. Ecker, J. H. Macke, M. Bethge
Salad: A Toolbox for Semi-supervised Adaptive Learning Across Domains
NeurIPS Machine Learning Open Source Software Workshop, 2018
@inproceedings{schneider2018salad, title: {Salad: A Toolbox for Semi-supervised Adaptive Learning Across Domains}, author: {S. Schneider, A. S. Ecker, J. H. Macke, M. Bethge}, year: {2018}, journal: {NeurIPS Machine Learning Open Source Software Workshop}, }
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F. H. Sinz, A. S. Ecker, P. G. Fahey, E. Y. Walker, E. Cobos, E. Froudarakis, D. Yatsenko, X. Pitkow, J. Reimer, A. S. Tolias
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video
Advances in Neural Information Processing Systems 32, 2018
@inproceedings{Sinz2018a, title: {Stimulus domain transfer in recurrent models for large scale cortical population prediction on video}, author: {F. H. Sinz, A. S. Ecker, P. G. Fahey, E. Y. Walker, E. Cobos, E. Froudarakis, D. Yatsenko, X. Pitkow, J. Reimer, A. S. Tolias}, year: {2018}, booktitle: {Advances in Neural Information Processing Systems 32}, }
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2017

T. S. A. Wallis, C. M. Funke, A. S. Ecker, L. A. Gatys, F. A. Wichmann, M. Bethge
A Parametric Texture Model Based on Deep Convolutional Features Closely Matches Texture Appearance for Humans
Journal of Vision, 2017
@article{wallis_parametric_2017, title: {A Parametric Texture Model Based on Deep Convolutional Features Closely Matches Texture Appearance for Humans}, author: {T. S. A. Wallis, C. M. Funke, A. S. Ecker, L. A. Gatys, F. A. Wichmann, M. Bethge}, year: {2017}, journal: {Journal of Vision}, }
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L. A. Gatys, A. S. Ecker, M. Bethge, A. Hertzmann, E. Shechtman
Controlling Perceptual Factors in Neural Style Transfer
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
@inproceedings{Gatys2017a, title: {Controlling Perceptual Factors in Neural Style Transfer}, author: {L. A. Gatys, A. S. Ecker, M. Bethge, A. Hertzmann, E. Shechtman}, year: {2017}, booktitle: {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}, }
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D. Klindt, A. S. Ecker, T. Euler, M. Bethge
Neural system identification for large populations separating “what” and “where”
Advances in Neural Information Processing Systems 31, 2017
@inproceedings{Klindt*2017a, title: {Neural system identification for large populations separating “what” and “where”}, author: {D. Klindt, A. S. Ecker, T. Euler, M. Bethge}, year: {2017}, booktitle: {Advances in Neural Information Processing Systems 31}, }
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C. M. Funke, L. A. Gatys, A. S. Ecker, M. Bethge
Synthesising Dynamic Textures using Convolutional Neural Networks
arXiv, 2017
@techreport{Funke2017, title: {Synthesising Dynamic Textures using Convolutional Neural Networks}, author: {C. M. Funke, L. A. Gatys, A. S. Ecker, M. Bethge}, year: {2017}, journal: {arXiv}, }
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L. A. Gatys, A. S. Ecker, M. Bethge
Texture and art with deep neural networks
Current Opinion in Neurobiology, 2017
@article{Gatys2017b, title: {Texture and art with deep neural networks}, author: {L. A. Gatys, A. S. Ecker, M. Bethge}, year: {2017}, journal: {Current Opinion in Neurobiology}, }
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2016

L. A. Gatys, A. S. Ecker, M. Bethge
Image Style Transfer Using Convolutional Neural Networks
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016
@inproceedings{Gatys2016a, title: {Image Style Transfer Using Convolutional Neural Networks}, author: {L. A. Gatys, A. S. Ecker, M. Bethge}, year: {2016}, booktitle: {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}, }
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A. S. Ecker, G. H. Denfield, M. Bethge, A. S. Tolias
On the Structure of Neuronal Population Activity under Fluctuations in Attentional State
Journal of Neuroscience, 2016
@article{Ecker2016, title: {On the Structure of Neuronal Population Activity under Fluctuations in Attentional State}, author: {A. S. Ecker, G. H. Denfield, M. Bethge, A. S. Tolias}, year: {2016}, journal: {Journal of Neuroscience}, }
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C. Rossant, S. Kadir, D. Goodman, J. Schulman, M. Hunter, A. Saleem, A. Grosmark, M. Belluscio, G. Denfield, A. Ecker, others
Spike sorting for large, dense electrode arrays
Nature neuroscience, 2016
@article{rossant2016spike, title: {Spike sorting for large, dense electrode arrays}, author: {C. Rossant, S. Kadir, D. Goodman, J. Schulman, M. Hunter, A. Saleem, A. Grosmark, M. Belluscio, G. Denfield, A. Ecker, others}, year: {2016}, journal: {Nature neuroscience}, }
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2015

L. A. Gatys, A. S. Ecker, M. Bethge
A Neural Algorithm of Artistic Style
arXiv, 2015
@article{Gatys2015c, title: {A Neural Algorithm of Artistic Style}, author: {L. A. Gatys, A. S. Ecker, M. Bethge}, year: {2015}, journal: {arXiv}, }
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L. Gatys, A. Ecker, M. Bethge
A neural algorithm of artistic style
arXiv preprint arXiv:1508.06576, 2015
@article{gatys2015neural, title: {A neural algorithm of artistic style}, author: {L. Gatys, A. Ecker, M. Bethge}, year: {2015}, journal: {arXiv preprint arXiv:1508.06576}, }
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X. Jiang, S. Shen, C. Cadwell, P. Berens, F. Sinz, A. S. Ecker, S. Patel, A. Tolias
Principles of connectivity among morphologically defined cell types in adult neocortex
Science, 2015
@article{Jiang2015a, title: {Principles of connectivity among morphologically defined cell types in adult neocortex}, author: {X. Jiang, S. Shen, C. Cadwell, P. Berens, F. Sinz, A. S. Ecker, S. Patel, A. Tolias}, year: {2015}, journal: {Science}, }
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X. Jiang, S. Shen, C. Cadwell, P. Berens, F. Sinz, A. Ecker, S. Patel, A. Tolias
Principles of connectivity among morphologically defined cell types in adult neocortex
Science, 2015
@article{jiang2015principles, title: {Principles of connectivity among morphologically defined cell types in adult neocortex}, author: {X. Jiang, S. Shen, C. Cadwell, P. Berens, F. Sinz, A. Ecker, S. Patel, A. Tolias}, year: {2015}, journal: {Science}, }
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L. A. Gatys, A. S. Ecker, T. Tchumatchenko, M. Bethge
Synaptic unreliability facilitates information transmission in balanced cortical populations
Physical Review E, 2015
@article{Gatys2015a, title: {Synaptic unreliability facilitates information transmission in balanced cortical populations}, author: {L. A. Gatys, A. S. Ecker, T. Tchumatchenko, M. Bethge}, year: {2015}, journal: {Physical Review E}, }
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L. A. Gatys, A. S. Ecker, M. Bethge
Texture Synthesis Using Convolutional Neural Networks
Advances in Neural Information Processing Systems 28, 2015
@inproceedings{Gatys2015b, title: {Texture Synthesis Using Convolutional Neural Networks}, author: {L. A. Gatys, A. S. Ecker, M. Bethge}, year: {2015}, booktitle: {Advances in Neural Information Processing Systems 28}, }
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L. Gatys, A. Ecker, M. Bethge
Texture Synthesis Using Convolutional Neural Networks
Advances in Neural Information Processing Systems 28, 2015
@incollection{NIPS2015_5633, title: {Texture Synthesis Using Convolutional Neural Networks}, author: {L. Gatys, A. Ecker, M. Bethge}, year: {2015}, booktitle: {Advances in Neural Information Processing Systems 28}, }
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2014

A. S. Ecker, A. S. Tolias
Is there signal in the noise?
Nature Neuroscience, 2014
@article{Ecker2014a, title: {Is there signal in the noise?}, author: {A. S. Ecker, A. S. Tolias}, year: {2014}, journal: {Nature Neuroscience}, }
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E. Froudarakis, P. Berens, A. S. Ecker, R. J. Cotton, F. H. Sinz, D. Yatsenko, P. Saggau, M. Bethge, A. S. Tolias
Population code in mouse V1 facilitates read-out of natural scenes through increased sparseness
Nature Neuroscience, 2014
@article{Froudarakis2014a, title: {Population code in mouse V1 facilitates read-out of natural scenes through increased sparseness}, author: {E. Froudarakis, P. Berens, A. S. Ecker, R. J. Cotton, F. H. Sinz, D. Yatsenko, P. Saggau, M. Bethge, A. S. Tolias}, year: {2014}, journal: {Nature Neuroscience}, }
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A. S. Ecker, P. Berens, R. J. Cotton, M. Subramaniyan, G. H. Denfield, C. R. Cadwell, S. M. Smirnakis, M. Bethge, A. S. Tolias
State dependence of noise correlations in macaque primary visual cortex
Neuron, 2014
@article{2014a, title: {State dependence of noise correlations in macaque primary visual cortex}, author: {A. S. Ecker, P. Berens, R. J. Cotton, M. Subramaniyan, G. H. Denfield, C. R. Cadwell, S. M. Smirnakis, M. Bethge, A. S. Tolias}, year: {2014}, journal: {Neuron}, }
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A. Ecker, P. Berens, R. Cotton, M. Subramaniyan, G. Denfield, C. Cadwell, S. Smirnakis, M. Bethge, A. Tolias
State dependence of noise correlations in macaque primary visual cortex
Neuron, 2014
@article{ecker2014state, title: {State dependence of noise correlations in macaque primary visual cortex}, author: {A. Ecker, P. Berens, R. Cotton, M. Subramaniyan, G. Denfield, C. Cadwell, S. Smirnakis, M. Bethge, A. Tolias}, year: {2014}, journal: {Neuron}, }
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2013

M. Subramaniyan, A. S. Ecker, P. Berens, A. S. Tolias
Macaque monkeys perceive the flash lag illusion
PLoS ONE, 2013
@article{2013a, title: {Macaque monkeys perceive the flash lag illusion}, author: {M. Subramaniyan, A. S. Ecker, P. Berens, A. S. Tolias}, year: {2013}, journal: {PLoS ONE}, }
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2012

P. Berens, A. S. Ecker, R. J. Cotton, W. J. Ma, M. Bethge, A. S. Tolias
A fast and simple population code for orientation in primate V1
Journal of Neuroscience, 2012
@article{Berens2012b, title: {A fast and simple population code for orientation in primate V1}, author: {P. Berens, A. S. Ecker, R. J. Cotton, W. J. Ma, M. Bethge, A. S. Tolias}, year: {2012}, journal: {Journal of Neuroscience}, }
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2011

P. Berens, A. S. Ecker, S. Gerwinn, A. S. Tolias, M. Bethge
Reassessing optimal neural population codes with neurometric functions
Proceedings of the National Academy of Sciences of the United States of America, 2011
@article{Berens2011a, title: {Reassessing optimal neural population codes with neurometric functions}, author: {P. Berens, A. S. Ecker, S. Gerwinn, A. S. Tolias, M. Bethge}, year: {2011}, journal: {Proceedings of the National Academy of Sciences of the United States of America}, }
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A. S. Ecker, P. Berens, A. S. Tolias, M. Bethge
The effect of noise correlations in populations of diversely tuned neurons
The Journal of Neuroscience, 2011
@article{Ecker2011a, title: {The effect of noise correlations in populations of diversely tuned neurons}, author: {A. S. Ecker, P. Berens, A. S. Tolias, M. Bethge}, year: {2011}, journal: {The Journal of Neuroscience}, }
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Neural Data Science Group
Institute of Computer Science
University of Goettingen