Prof. Dr. Alexander S. Ecker

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  • 2021 | Journal Article | Research Paper | 
    ​ ​Burg MF, Cadena SA, Denfield GH, Walker EY, Tolias AS, Bethge M, et al. ​Learning divisive normalization in primary visual cortex​. ​​PLoS Computational Biology. ​2021;​17​(6):​​e1009028​. ​doi:10.1371/journal.pcbi.1009028. 
    ​Details  DOI 
  • 2020 | Preprint
    ​ ​Burg MF, Cadena SA, Denfield GH, Walker EY, Tolias AS, Bethge M, et al. ​Learning Divisive Normalization in Primary Visual Cortex​. ​​2020. Available from: https://doi.org/10.1101/767285​
    ​Details  DOI 
  • 2019 | Conference Paper
    ​ ​Cadena SA, Sinz FH, Muhammad T, Froudarakis E, Cobos E, Walker EY, et al. ​How well do deep neural networks trained on object recognition characterize the mouse visual system?​. ​ Paper presented at:​ 33rd Conference on Neural Information Processing Systems (NeurIPS 2019); ​2019-12-08​ - 2019-12-14​; ​​), Vancouver, Canada. 
    ​Details 
  • 2019 | Conference Paper
    ​ ​Günthner MF, Cadena SA, Denfield GH, Walker EY, Gatys LA, Tolias AS, et al. ​Learning Divisive Normalization in Primary Visual Cortex​. ​ Paper presented at:​ Conference on Cognitive Computational Neuroscience 2019; ​2019-09-13​ - 2019-09-16​; ​​Berlin, Germany. doi:10.32470/CCN.2019.1211-0.
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Cadena SA, Denfield GH, Walker EY, Gatys LA, Tolias AS, Bethge M, et al. ​Deep convolutional models improve predictions of macaque V1 responses to natural images​. ​​PLoS Computational Biology. ​2019;​15​(4). ​doi:10.1371/journal.pcbi.1006897. 
    ​Details  DOI  PMID  PMC 
  • 2018 | Conference Paper
    ​ ​Ecker AS, Sinz FH, Froudarakis E, Fahey PG, Cadena SA, Walker EY, et al. ​A rotation-equivariant convolutional neural network model of primary visual cortex​. ​ 7th International Conference on Learning Representations (ICLR 2019); ​2019-05-06​ - 2019-05-09​; ​​New Orleans, USA. 
    ​Details  arXiv 
  • 2018 | Book Chapter
    ​ ​Cadena SA, Weis MA, Gatys LA, Bethge M, Ecker AS, Weiss Y. ​Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks​. ​In: Ferrari V, Hebert M, Sminchisescu C​, editors. ​Computer Vision – ECCV 2018. Vol. 11216. ​Cham: ​Springer; ​2018. p. 225​-240​. ​(Lecture Notes in Computer Science;). doi:10.1007/978-3-030-01258-8_14. 
    ​Details  DOI 

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