Dataset

Data for Cadena et al. 2019 Plos Computational Biology

Santiago Cadena¹, George Denfield², Edgar Walker², Leon Gatys¹, Andreas Tolias², Matthias Bethge¹, Alexander Ecker¹

¹University of Tuebingen
²Baylor College of Medicine

DOI: 10.12751/g-node.2e31e3 BROWSE REPOSITORY BROWSE ARCHIVE DOWNLOAD ARCHIVE (ZIP 318 MiB)

Published 10 Mar. 2019 | License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License

Description

Macaque V1 single neural responses to naturalistic images recorded with silicon laminar probes.

Keywords

References

Cadena SA, Denfield GH, Walker EY, Gatys LA, Tolias AS, Bethge M, et al. (2019) Deep convolutional models improve predictions of macaque V1 responses to natural images. PLoS Comput Biol 15(4):e1006897 https://doi.org/10.1371/journal.pcbi.1006897
https://doi.org/10.1101/201764

Funding

DFG EC 479/1-1
DFG SFB 1233, Robust Vision
BMBF 01GQ1002
EXC307
R01EY026927
DP1-EY023176
DP1-OD008301
EY-002520-37
NEI T32EY00700140
NEI F30EY025510
DoI D16PC00003

Citation

Cadena S, Denfield G, Walker E, Gatys L, Tolias A, Bethge M, Ecker A (2019) Data for Cadena et al. 2019 Plos Computational Biology. G-Node. https://doi.org/10.12751/g-node.2e31e3