E. Y. Walker, F. H. Sinz, E. Froudarakis, P. G. Fahey, T. Muhammad, A. S. Ecker, E. Cobos, J. Reimer, et al.
Inception loops discover what excites neurons most using deep predictive models
Nature Neuroscience, 2019
#primary visual cortex, #deep neural network, #system identification, #inception
URL, DOI, BibTex

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

F. H. Sinz, A. S. Ecker, P. G. Fahey, E. Y. Walker, E. Cobos, E. Froudarakis, D. Yatsenko, X. Pitkow, et al.
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video
Advances in Neural Information Processing Systems 32, 2018
#v1, #system identification, #microns, #deep neural network, #recurrent neural network, #domain transfer
URL, PDF, BibTex