Harmonizing the visual strategies of image-computable models with humans yields more performant and interpretable models of primate visual system function.
- DOI
- 10.1167/jov.23.9.5768
- Published
- 2023-08-01
- Container
- Journal of Vision
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1167/jov.23.9.5768,
title = {Harmonizing the visual strategies of image-computable models with humans yields more performant and interpretable models of primate visual system function.},
author = {Ivan Felipe Rodriguez and Drew Linsley and Jay Gopal and Thomas Fel and Michael Acaro and Saloni Sharma and Margaret Livingstone and Thomas Serre},
year = {2023},
journal = {Journal of Vision},
doi = {10.1167/jov.23.9.5768},
url = {https://doi.org/10.1167/jov.23.9.5768}
}RIS
TY - JOUR TI - Harmonizing the visual strategies of image-computable models with humans yields more performant and interpretable models of primate visual system function. AU - Ivan Felipe Rodriguez AU - Drew Linsley AU - Jay Gopal AU - Thomas Fel AU - Michael Acaro AU - Saloni Sharma AU - Margaret Livingstone AU - Thomas Serre PY - 2023 JO - Journal of Vision DO - 10.1167/jov.23.9.5768 UR - https://doi.org/10.1167/jov.23.9.5768 ER -
APA
Rodriguez, I. F., Linsley, D., Gopal, J., Fel, T., Acaro, M., Sharma, S., Livingstone, M., & Serre, T. (2023). Harmonizing the visual strategies of image-computable models with humans yields more performant and interpretable models of primate visual system function.. Journal of Vision. https://doi.org/10.1167/jov.23.9.5768
Source records
- hal · retrieved 2026-09-26T04:43:47.462Z