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Santiago A. Cadena
Santiago A. Cadena
PhD student, University of Tübingen
Bestätigte E-Mail-Adresse bei bethgelab.org - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep convolutional models improve predictions of macaque V1 responses to natural images
SA Cadena, GH Denfield, EY Walker, LA Gatys, AS Tolias, M Bethge, ...
PLoS computational biology 15 (4), e1006897, 2019
1982019
How well do deep neural networks trained on object recognition characterize the mouse visual system?
SA Cadena, FH Sinz, T Muhammad, E Froudarakis, E Cobos, EY Walker, ...
Advances in Neural Information Processing (NeurIPS) Neuro-AI Workshop, 2019
282019
A rotation-equivariant convolutional neural network model of primary visual cortex
AS Ecker, FH Sinz, E Froudarakis, PG Fahey, SA Cadena, EY Walker, ...
International Conference on Learning Representations, 2018
282018
Diverse feature visualizations reveal invariances in early layers of deep neural networks
SA Cadena, MA Weis, LA Gatys, M Bethge, AS Ecker
Proceedings of the European Conference on Computer Vision (ECCV), 217-232, 2018
212018
Learning divisive normalization in primary visual cortex
MF Burg, SA Cadena, GH Denfield, EY Walker, AS Tolias, M Bethge, ...
PLOS Computational Biology 17 (6), e1009028, 2021
182021
Deep convolutional models improve predictions of macaque v1 responses to natural images. bioRxiv
SA Cadena, GH Denfield, EY Walker, LA Gatys, AS Tolias, M Bethge, ...
October, 2017
182017
Generalization in data-driven models of primary visual cortex
KK Lurz, M Bashiri, K Willeke, AK Jagadish, E Wang, EY Walker, ...
BioRxiv, 2020.10. 05.326256, 2021
92021
Towards robust vision by multi-task learning on monkey visual cortex
S Safarani, A Nix, K Willeke, S Cadena, K Restivo, G Denfield, A Tolias, ...
Advances in Neural Information Processing Systems 34, 739-751, 2021
72021
Rotation-invariant clustering of neuronal responses in primary visual cortex
I Ustyuzhaninov, SA Cadena, E Froudarakis, PG Fahey, EY Walker, ...
International Conference on Learning Representations (ICLR), 2020
52020
Deep convolutional models improve predictions of macaque V1 responses to natural images. bioRxiv 2017
SA Cadena, GH Denfield, EY Walker, LA Gatys, AS Tolias, M Bethge, ...
Europe PMC free article][Abstract][Google Scholar], 201764, 2017
32017
A diverse task-driven characterization of early and mid-level representations of the primate ventral stream
SA Cadena, K Willeke, K Restivo, G Denfield, EY Walker, F Sinz, ...
Computational and Systems Neuroscience Meeting (COSYNE 2021), 2021
22021
Digital twin reveals combinatorial code of non-linear computations in the mouse primary visual cortex
I Ustyuzhaninov, MF Burg, SA Cadena, J Fu, T Muhammad, K Ponder, ...
bioRxiv, 2022
12022
The Sensorium competition on predicting large-scale mouse primary visual cortex activity
KF Willeke, PG Fahey, M Bashiri, L Pede, MF Burg, C Blessing, ...
arXiv preprint arXiv:2206.08666, 2022
2022
Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks
SA Cadena, KF Willeke, K Restivo, G Denfield, FH Sinz, M Bethge, ...
bioRxiv, 2022
2022
A goal-driven deep learning approach for V1 system identification
S Cadena, A Ecker, G Denfield, E Walker, A Tolias, M Bethge
Bernstein Conference 2016, 2016
2016
Biomaterials based on small intestinal submucosa (SIS) for esophagus regeneration
JM Zambrano, SA Cadena, G Martinez, AM Cuellar, DM Tabima
2013 Pan American Health Care Exchanges (PAHCE), 1-1, 2013
2013
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