Publications by S. Cadena
Preprints
S. A. Cadena,
K. F. Willeke,
K. Restivo,
G. Denfield,
F. H. Sinz,
M. Bethge,
A. S. Tolias, and
A. S. Ecker
Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks
BioRxiv, 2022
URL, DOI, URL, PDF, BibTex
Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks
BioRxiv, 2022
URL, DOI, URL, PDF, BibTex
I. Ustyuzhaninov,
M. F. Burg,
S. A. Cadena,
J. Fu,
T. Muhammad,
K. Ponder,
E. Froudarakis,
Z. Ding,
et al.
Digital twin reveals combinatorial code of non-linear computations in the mouse primary visual cortex
bioRxiv, 2022
PDF, BibTex
Digital twin reveals combinatorial code of non-linear computations in the mouse primary visual cortex
bioRxiv, 2022
PDF, BibTex
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
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
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
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
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
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
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
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
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
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
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
A goal-driven deep learning approach for V1 system identification
Bernstein Conference 2016, 2016
DOI, BibTex
