Using task-optimized neural networks to understand how experience might shape human face perception - Research portal of Justus Liebig University Giessen:

Meeting Abstract

Using task-optimized neural networks to understand how experience might shape human face perception

Authors list: Dobs, K.; Yuan, J.; Martinez, J.; Kanwisher, N.

Publication year: 2021

Journal: Journal of Vision

Volume number: 21

Issue number: 9

DOI Link: https://doi.org/10.1167/jov.21.9.2292

Conference: 21th Vision Sciences Society Annual Meeting (VSS 2021)

Publisher: Association for Research in Vision and Ophthalmology

Authors/Editors

- Dr. Katharina Barbara Dobs

Citation Styles

Harvard Citation style: Dobs, K., Yuan, J., Martinez, J. and Kanwisher, N. (2021) Using task-optimized neural networks to understand how experience might shape human face perception, Journal of Vision, 21(9), Article 2292. https://doi.org/10.1167/jov.21.9.2292

APA Citation style: Dobs, K., Yuan, J., Martinez, J., & Kanwisher, N. (2021). Using task-optimized neural networks to understand how experience might shape human face perception. Journal of Vision. 21(9), Article 2292. https://doi.org/10.1167/jov.21.9.2292