Publications by S. A. Cadena

Preprints


S. Safarani, A. Nix, K. Willeke, S. A. Cadena, K. Restivo, G. Denfield, A. S. Tolias, and F. H. Sinz
Towards robust vision by multi-task learning on monkey visual cortex
arXiv preprint arXiv:2107.14344, 2021
BibTex

Journal Articles


M. F. Burg, S. A. Cadena, G. H. Denfield, E. Y. Walker, A. S. Tolias, M. Bethge, and A. S. Ecker
Learning divisive normalization in primary visual cortex
PLOS Computational Biology, 17(6), 1-31, 2021
#system identification, #v1, #convolutional neural networks, #divisive normalization
Code, URL, DOI, Talk at CCN 2019, BibTex
S. A. Cadena, G. H. Denfield, E. Y. Walker, L. A. Gatys, A. S. Tolias, M. Bethge, and A. S. Ecker
Deep convolutional models improve predictions of macaque V1 responses to natural images
PLoS Computational Biology, 2019
URL, DOI, PDF, BibTex

Conference Papers


K.-K. Lurz, M. Bashiri, K. F. Willeke, A. K. Jagadish, E. Wang, E. Y. Walker, S. Cadena, T. Muhammad, et al.
Generalization in data-driven models of primary visual cortex
International Conference on Learning Representations (ICLR), 2021
PDF, URL, Code, BibTex
I. Ustyuzhaninov, S. A. Cadena, E. Froudarakis, P. G. Fahey, E. Y. Walker, E. Cobos, J. Reimer, F. H. Sinz, et al.
Rotation-invariant clustering of functional cell types in primary visual cortex
International Conference on Learning Representations (ICLR), 2020
URL, PDF, BibTex
A. S. Ecker, F. H. Sinz, E. Froudarakis, P. G. Fahey, S. A. Cadena, E. Y. Walker, E. Cobos, J. Reimer, et al.
A rotation-equivariant convolutional neural network model of primary visual cortex
International Conference on Learning Representations (ICLR), 2019
#v1, #system identification, #microns, #convolutional neural network, #rotation equivariance
Code, URL, PDF, Data, BibTex
S. A. Cadena, F. H. Sinz, T. Muhammad, E. Froudarakis, E. Cobos, E. Y. Walker, J. Reimer, M. Bethge, et al.
How well do deep neural networks trained on object recognition characterize the mouse visual system?
NeurIPS Neuro AI Workshop, 2019
#mouse visual cortex, #goal-driven modeling, #object recognition, #deep neural networks, #hierarchical organization
URL, PDF, BibTex
S. A. Cadena, M. A. Weis, L. A. Gatys, M. Bethge, and A. S. Ecker
Diverse feature visualizations reveal invariances in early layers of deep neural networks
The European Conference on Computer Vision (ECCV), 2018
URL, BibTex

Abstracts


S. A. Cadena, K. Willeke, K. Restivo, G. Denfield, E. Y. Walker, F. Sinz, M. Bethge, A. S. Tolias, et al.
A diverse task-driven characterization of early and mid-level representations of the primate ventral stream
Computational and Systems Neuroscience Meeting (COSYNE 2021), 2021
BibTex
S. Cadena, A. Ecker, G. Denfield, E. Walker, A. Tolias, and M. Bethge
A goal-driven deep learning approach for V1 system identification
Computational and Systems Neuroscience Meeting (COSYNE 2017), 2017
BibTex
S. Cadena, A. Ecker, G. Denfield, E. Walker, A. Tolias, and M. Bethge
A goal-driven deep learning approach for V1 system identification
Bernstein Conference 2016, 2016
DOI, BibTex
University of Tuebingen BCCN CIN MPI