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 
  • 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 | 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 
  • 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
    ​ ​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 

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https://publications.goettingen-research-online.de URI: /cris/rp/rp114418
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