Prof. Dr. Alexander S. Ecker

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  • 2021 | Journal Article | Research Paper | 
    ​ ​Learning divisive normalization in primary visual cortex​
    Burg, M. F.; Cadena, S. A.; Denfield, G. H.; Walker, E. Y.; Tolias, A. S.; Bethge, M. & Ecker, A. S. ​ (2021) 
    PLoS Computational Biology, 17(6) pp. e1009028​.​ DOI: https://doi.org/10.1371/journal.pcbi.1009028 
    ​Details  DOI 
  • 2020 | Preprint
    ​ ​Learning Divisive Normalization in Primary Visual Cortex​
    Burg, M. F.; Cadena, S. A.; Denfield, G. H.; Walker, E. Y.; Tolias, A. S.; Bethge, M.& Ecker, A. S. ​ (2020). DOI: https://doi.org/10.1101/767285 
    ​Details  DOI 
  • 2020 | Journal Article | 
    ​ ​The temporal structure of the inner retina at a single glance​
    Zhao, Z.; Klindt, D. A.; Maia Chagas, A.; Szatko, K. P.; Rogerson, L.; Protti, D. A. & Behrens, C. et al.​ (2020) 
    Scientific Reports, 10(1) art. 4399​.​ DOI: https://doi.org/10.1038/s41598-020-60214-z 
    ​Details  DOI  PMID  PMC 
  • 2019 | Conference Paper
    ​ ​How well do deep neural networks trained on object recognition characterize the mouse visual system?​
    Cadena, S. A.; Sinz, F. H. ; Muhammad, T.; Froudarakis, E.; Cobos, E.; Walker, E. Y. & Reimer, J. et al.​ (2019)
    ​33rd Conference on Neural Information Processing Systems (NeurIPS 2019)​, ), Vancouver, Canada.
    ​Details 
  • 2019 | Journal Article
    ​ ​Comparing Search Strategies of Humans and Machines in Clutter​
    Michaelis, C.; Funke, C.; Ecker, A. S. ; Wallis, T. S. & Bethge, M.​ (2019) 
    Journal of Vision, 19(10) art. 309c​.​ DOI: https://doi.org/10.1167/19.10.309c 
    ​Details  DOI 
  • 2019 | Preprint
    ​ ​The temporal structure of the inner retina at a single glance​
    Zhao, Z.; Klindt, D.; Chagas, A. M.; Szatko, K. P.; Rogerson, L.; Protti, D. A.& Behrens, C. et al.​ (2019). DOI: https://doi.org/10.1101/743047 
    ​Details  DOI 
  • 2019 | Preprint
    ​ ​Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming​
    Michaelis, C.; Mitzkus, B.; Geirhos, R.; Rusak, E.; Bringmann, O.; Ecker, A. S.  & Bethge, M. et al.​ (2019)
    ​Details  arXiv 
  • 2019 | Conference Paper
    ​ ​Learning Divisive Normalization in Primary Visual Cortex​
    Günthner, M. F.; Cadena, S. A.; Denfield, G. H.; Walker, E. Y.; Gatys, L. A.; Tolias, A. S. & Bethge, M. et al.​ (2019)
    ​Conference on Cognitive Computational Neuroscience 2019​, Berlin, Germany. DOI: https://doi.org/10.32470/CCN.2019.1211-0 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Deep convolutional models improve predictions of macaque V1 responses to natural images​
    Cadena, S. A.; Denfield, G. H.; Walker, E. Y.; Gatys, L. A.; Tolias, A. S.; Bethge, M. & Ecker, A. S. ​ (2019) 
    PLoS Computational Biology, 15(4) art. e1006897​.​ DOI: https://doi.org/10.1371/journal.pcbi.1006897 
    ​Details  DOI  PMID  PMC 
  • 2019 | Journal Article | 
    ​ ​Image content is more important than Bouma's Law for scene metamers​
    Wallis, T. S. A.; Funke, C. M.; Ecker, A. S. ; Gatys, L. A.; Wichmann, F. A. & Bethge, M.​ (2019) 
    eLife, 8.​ DOI: https://doi.org/10.7554/eLife.42512 
    ​Details  DOI  PMID  PMC 
  • 2018 | Conference Paper
    ​ ​Multi-Task Generalization and Adaptation between Noisy Digit Datasets: An Empirical Study​
    Schneider, S.; Ecker, A. S. ; Macke, J. H. & Bethge, M.​ (2018)
    ​Neural Information Processing Systems (NeurIPS), Workshop on Continual Learning​, Montreal, Canada.
    ​Details 
  • 2018 | Conference Paper
    ​ ​SALAD: A Toolbox for Semi-supervised Adaptive Learning Across Domains​
    Schneider, S.; Ecker, A. S. ; Macke, J. H. & Bethge, M.​ (2018)
    ​32nd Conference on Neural Information Processing Systems (NIPS 2018)​, Montréal, Canada.
    ​Details 
  • 2018 | Conference Paper
    ​ ​A rotation-equivariant convolutional neural network model of primary visual cortex​
    Ecker, A. S. ; Sinz, F. H. ; Froudarakis, E.; Fahey, P. G.; Cadena, S. A.; Walker, E. Y. & Cobos, E. et al.​ (2018)
    ​7th International Conference on Learning Representations (ICLR 2019)​, New Orleans, USA.
    ​Details  arXiv 
  • 2018 | Book Chapter
    ​ ​Introduction to NIPS 2017 Competition Track​
    Escalera, S.; Weimer, M.; Burtsev, M.; Malykh, V.; Logacheva, V.; Lowe, R.& Serban, I. V. et al.​ (2018)
    In:​Escalera, S.; Weimer, N.​ (Eds.), The NIPS '17 Competition: Building Intelligent Systems pp. 1​-23. ​Cham: ​Springer. DOI: https://doi.org/10.1007/978-3-319-94042-7_1 
    ​Details  DOI 
  • 2018 | Preprint
    ​ ​One-Shot Segmentation in Clutter​
    Michaelis, C.; Bethge, M.& Ecker, A. S. ​ (2018)
    ​Details  arXiv 
  • 2018 | Journal Article
    ​ ​Comparing the ability of humans and DNNs to recognise closed contours in cluttered images​
    Funke, C.; Borowski, J.; Wallis, T.; Brendel, W.; Ecker, A.   & Bethge, M.​ (2018) 
    Journal of Vision, 18(10) pp. 800​.​ DOI: https://doi.org/10.1167/18.10.800 
    ​Details  DOI 
  • 2018 | Book Chapter
    ​ ​Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks​
    Cadena, S. A.; Weis, M. A.; Gatys, L. A.; Bethge, M.; Ecker, A. S.  & Weiss, Y.​ (2018)
    In:​Ferrari, V.; Hebert, M.; Sminchisescu, C.​ (Eds.), Computer Vision – ECCV 2018 pp. 225​-240. (Vol. 11216). ​Cham: ​Springer. DOI: https://doi.org/10.1007/978-3-030-01258-8_14 
    ​Details  DOI 
  • 2018 | Preprint
    ​ ​One-Shot Instance Segmentation​
    Michaelis, C.; Ustyuzhaninov, I.; Bethge, M.& Ecker, A. S. ​ (2018)
    ​Details  arXiv 
  • 2018 | Preprint
    ​ ​Image content is more important than Bouma’s Law for scene metamers​
    Wallis, T. S. A.; Funke, C. M.; Ecker, A. S. ; Gatys, L. A.; Wichmann, F. A.& Bethge, M.​ (2018). DOI: https://doi.org/10.1101/378521 
    ​Details  DOI 
  • 2018 | Preprint
    ​ ​Attentional fluctuations induce shared variability in macaque primary visual cortex​
    Denfield, G. H.; Ecker, A. S. ; Shinn, T. J.; Bethge, M.& Tolias, A. S.​ (2018). DOI: https://doi.org/10.1101/189282 
    ​Details  DOI 
  • 2018 | Journal Article | 
    ​ ​Attentional fluctuations induce shared variability in macaque primary visual cortex​
    Denfield, G. H.; Ecker, A. S. ; Shinn, T. J.; Bethge, M. & Tolias, A. S.​ (2018) 
    Nature Communications, 9(1) art. 2654​.​ DOI: https://doi.org/10.1038/s41467-018-05123-6 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion​
    Subramaniyan, M.; Ecker, A. S. ; Patel, S. S.; Cotton, R. J.; Bethge, M.; Pitkow, X. & Berens, P. et al.​ (2018) 
    Journal of Neurophysiology, 120(5) pp. 2430​-2452​.​ DOI: https://doi.org/10.1152/jn.00792.2017 
    ​Details  DOI  PMID  PMC 
  • 2017 | Preprint
    ​ ​Synthesising Dynamic Textures using Convolutional Neural Networks​
    Funke, C. M.; Gatys, L. A.; Ecker, A. S.  & Bethge, M.​ (2017)
    ​Details  arXiv 
  • 2017 | Preprint
    ​ ​Neural system identification for large populations separating "what" and "where"​
    Klindt, D. A.; Ecker, A. S. ; Euler, T.& Bethge, M.​ (2017)
    ​Details  arXiv 
  • 2017 | Conference Paper
    ​ ​Controlling Perceptual Factors in Neural Style Transfer​
    Gatys, L. A.; Ecker, A. S. ; Bethge, M.; Hertzmann, A. & Shechtman, E.​ (2017)
    ​2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 3730​-3738. ​2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)​, Honolulu, HI, USA. DOI: https://doi.org/10.1109/CVPR.2017.397 
    ​Details  DOI 
  • 2017 | Preprint
    ​ ​A parametric texture model based on deep convolutional features closely matches texture appearance for humans​
    Wallis, T. S. A.; Funke, C. M.; Ecker, A. S. ; Gatys, L. A.; Wichmann, F. A.& Bethge, M.​ (2017). DOI: https://doi.org/10.1101/165761 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Towards matching peripheral appearance for arbitrary natural images using deep features​
    Wallis, T.; Funke, C.; Ecker, A. ; Gatys, L.; Wichmann, F. & Bethge, M.​ (2017) 
    Journal of Vision, 17(10) art. 786​.​ DOI: https://doi.org/10.1167/17.10.786 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​A parametric texture model based on deep convolutional features closely matches texture appearance for humans​
    Funke, C.; Wallis, T.; Ecker, A. S. ; Gatys, L.; Wichmann, F. & Bethge, M.​ (2017) 
    Journal of Vision, 17(10) art. 1081​.​ DOI: https://doi.org/10.1167/17.10.1081 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​A parametric texture model based on deep convolutional features closely matches texture appearance for humans​
    Wallis, T. S. A.; Funke, C. M.; Ecker, A. S. ; Gatys, L. A.; Wichmann, F. A. & Bethge, M.​ (2017) 
    Journal of Vision, 17(12) art. 5​.​ DOI: https://doi.org/10.1167/17.12.5 
    ​Details  DOI  PMID  PMC 
  • 2017 | Journal Article
    ​ ​Texture and art with deep neural networks​
    Gatys, L. A.; Ecker, A. S.   & Bethge, M.​ (2017) 
    Current Opinion in Neurobiology, 46 pp. 178​-186​.​ DOI: https://doi.org/10.1016/j.conb.2017.08.019 
    ​Details  DOI  PMID  PMC 
  • 2016 | Preprint
    ​ ​Texture Modelling Using Convolutional Neural Networks​
    Gatys, L. A.; Ecker, A. S.  & Bethge, M.​ (2016)
    ​Details 
  • 2016 | Conference Paper
    ​ ​Towards matching the peripheral visual appearance of arbitrary scenes using deep convolutional neural networks​
    Wallis, T. S.; Funke, C. M.; Ecker, A. S. ; Gatys, L. A.; Wichmann, F. A. & Bethge, M.​ (2016)
    Perception, 45 pp. 175​-176. 
    ​Details 
  • 2016 | Journal Article
    ​ ​Seeking summary statistics that match peripheral visual appearance using naturalistic textures generated by Deep Neural Networks​
    Wallis, T.; Ecker, A. ; Gatys, L.; Funke, C.; Wichmann, F. & Bethge, M.​ (2016) 
    Journal of Vision, 16(12) art. 230​.​ DOI: https://doi.org/10.1167/16.12.230 
    ​Details  DOI 
  • 2016 | Journal Article
    ​ ​On the Structure of Neuronal Population Activity under Fluctuations in Attentional State​
    Ecker, A. S. ; Denfield, G. H.; Bethge, M. & Tolias, A. S.​ (2016) 
    The Journal of Neuroscience, 36(5) pp. 1775​-1789​.​ DOI: https://doi.org/10.1523/JNEUROSCI.2044-15.2016 
    ​Details  DOI  PMID  PMC 
  • 2015 | Journal Article
    ​ ​Synaptic unreliability facilitates information transmission in balanced cortical populations​
    Gatys, L. A.; Ecker, A. S. ; Tchumatchenko, T.   & Bethge, M.​ (2015) 
    Physical Review. E, 91(6) art. 062707​.​ DOI: https://doi.org/10.1103/PhysRevE.91.062707 
    ​Details  DOI  PMID  PMC 
  • 2014 | Journal Article
    ​ ​Population code in mouse V1 facilitates readout of natural scenes through increased sparseness​
    Froudarakis, E.; Berens, P.; Ecker, A. S. ; Cotton, R. J.; Sinz, F. H. ; Yatsenko, D. & Saggau, P. et al.​ (2014) 
    Nature Neuroscience, 17(6) pp. 851​-857​.​ DOI: https://doi.org/10.1038/nn.3707 
    ​Details  DOI  PMID  PMC 
  • 2014 | Journal Article
    ​ ​State Dependence of Noise Correlations in Macaque Primary Visual Cortex​
    Ecker, A. S. ; Berens, P.; Cotton, R. J.; Subramaniyan, M.; Denfield, G. H.; Cadwell, C. R. & Smirnakis, S. M. et al.​ (2014) 
    Neuron, 82(1) pp. 235​-248​.​ DOI: https://doi.org/10.1016/j.neuron.2014.02.006 
    ​Details  DOI  PMID  PMC 
  • 2013 | Conference Paper
    ​ ​Encoding of natural scene statistics in the primary visual cortex of the mouse​
    Froudarakis, E.; Berens, P.; Cotton, J. R.; Ecker, A. S. ; Saggau, P.; Bethge, M. & Tolias, A. S.​ (2013)
    ​Computational and Systems Neuroscience Meeting (COSYNE 2013)​, Salt Lake City.
    ​Details 
  • 2012 | Journal Article
    ​ ​A Fast and Simple Population Code for Orientation in Primate V1​
    Berens, P.; Ecker, A. S. ; Cotton, R. J.; Ma, W. J.; Bethge, M. & Tolias, A. S.​ (2012) 
    The Journal of Neuroscience, 32(31) pp. 10618​-10626​.​ DOI: https://doi.org/10.1523/JNEUROSCI.1335-12.2012 
    ​Details  DOI  PMID  PMC 
  • 2011 | Journal Article | 
    ​ ​Optimal Population Coding, Revisited​
    Berens, P.; Ecker, A. ; Gerwinn, S.; Tolias, A. & Bethge, M.​ (2011) 
    Nature Precedings,.​ DOI: https://doi.org/10.1038/npre.2011.5513.1 
    ​Details  DOI 
  • 2011 | Journal Article
    ​ ​Reassessing optimal neural population codes with neurometric functions​
    Berens, P.; Ecker, A. S. ; Gerwinn, S.; Tolias, A. S. & Bethge, M.​ (2011) 
    Proceedings of the National Academy of Sciences of the United States of America, 108(11) pp. 4423​-4428​.​ DOI: https://doi.org/10.1073/pnas.1015904108 
    ​Details  DOI  PMID  PMC 
  • 2011 | Journal Article
    ​ ​The Effect of Noise Correlations in Populations of Diversely Tuned Neurons​
    Ecker, A. S. ; Berens, P.; Tolias, A. S. & Bethge, M.​ (2011) 
    The Journal of Neuroscience, 31(40) pp. 14272​-14283​.​ DOI: https://doi.org/10.1523/JNEUROSCI.2539-11.2011 
    ​Details  DOI  PMID  PMC 
  • 2010 | Journal Article
    ​ ​Decorrelated Neuronal Firing in Cortical Microcircuits​
    Ecker, A. S. ; Berens, P.; Keliris, G. A.; Bethge, M.; Logothetis, N. K. & Tolias, A. S.​ (2010) 
    Science, 327(5965) pp. 584-7​-587​.​ DOI: https://doi.org/10.1126/science.1179867 
    ​Details  DOI  PMID  PMC 
  • 2009 | Journal Article
    ​ ​Neurometric function analysis of short-term population codes​
    Berens, P.; Gerwinn, S.; Ecker, A. S.   & Bethge, M.​ (2009) 
    Frontiers in Computational Neuroscience, 3.​ DOI: https://doi.org/10.3389/conf.neuro.10.2009.14.093 
    ​Details  DOI 
  • 2009 | Journal Article
    ​ ​Generating Spike Trains with Specified Correlation Coefficients​
    Macke, J. H.; Berens, P.; Ecker, A. S. ; Tolias, A. S. & Bethge, M.​ (2009) 
    Neural Computation, 21(2) pp. 397​-423​.​ DOI: https://doi.org/10.1162/neco.2008.02-08-713 
    ​Details  DOI  PMID  PMC 

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