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
bioRxiv, 2019
#system identification, #v1, #convolutional neural networks, #divisive normalization
URL, 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, 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, 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

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