Publications with the keyword "system identification"


Z. Zhao, D. Klindt, A. M. Chagas, K. P. Szatko, L. Rogerson, D. Protti, C. Behrens, D. Dalkara, et al.
The temporal structure of the inner retina at a single glance
Scientific Reports, 2020
#retina, #system identification, #batch effects
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
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
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
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
D. Klindt, A. S. Ecker, T. Euler, and M. Bethge
Neural system identification for large populations separating “what” and “where”
Advances in Neural Information Processing Systems 31, 2017
#convolutional neural networks, #system identification, #neural data analysis
Code, URL, PDF, BibTex
University of Tuebingen BCCN CIN MPI