Prof. Dr. Alexander S. Ecker

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unigoe
 

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  • 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
    ​ ​Inception loops discover what excites neurons most using deep predictive models​
    Walker, E. Y.; Sinz, F. H. ; Cobos, E.; Muhammad, T.; Froudarakis, E.; Fahey, P. G. & Ecker, A. S.  et al.​ (2019) 
    Nature Neuroscience, 22(12) pp. 2060​-2065​.​ DOI: https://doi.org/10.1038/s41593-019-0517-x 
    ​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 | Preprint
    ​ ​Stimulus domain transfer in recurrent models for large scale cortical population prediction on video​
    Sinz, F. H. ; Ecker, A. S. ; Fahey, P. G.; Walker, E. Y.; Cobos, E.; Froudarakis, E.& Yatsenko, D. et al.​ (2018). DOI: https://doi.org/10.1101/452672 
    ​Details  DOI 
  • 2018 | Preprint
    ​ ​Inception in visual cortex: in vivo-silico loops reveal most exciting images​
    Walker, E. Y.; Sinz, F. H. ; Froudarakis, E.; Fahey, P. G.; Muhammad, T.; Ecker, A. S.  & Cobos, E. et al.​ (2018). DOI: https://doi.org/10.1101/506956 
    ​Details  DOI 

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