A deep new look at color.


Journal

The Behavioral and brain sciences
ISSN: 1469-1825
Titre abrégé: Behav Brain Sci
Pays: England
ID NLM: 7808666

Informations de publication

Date de publication:
06 Dec 2023
Historique:
medline: 7 12 2023
pubmed: 6 12 2023
entrez: 6 12 2023
Statut: epublish

Résumé

Bowers et al. counter deep neural networks (DNNs) as good models of human visual perception. From our color perspective we feel their view is based on three misconceptions: A misrepresentation of the state-of-the-art of color perception; the type of model required to move the field forward; and the attribution of shortcomings to DNN research that are already being resolved.

Identifiants

pubmed: 38054295
doi: 10.1017/S0140525X23001620
pii: S0140525X23001620
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e389

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : 222641018 - SFB/TRR 135

Auteurs

Jelmer Philip de Vries (JP)

Department of Psychology, Justus Liebig Universitat, Giessen, Germany vriesdejelmer@gmail.com; gegenfurtner@uni-giessen.de www.jelmerdevries.com; https://www.allpsych.uni-giessen.de/karl/.

Alban Flachot (A)

Department of Psychology, York University, Toronto, ON, Canada flachot.alban@gmail.com.

Takuma Morimoto (T)

Department of Psychology, Justus Liebig Universitat, Giessen, Germany vriesdejelmer@gmail.com; gegenfurtner@uni-giessen.de www.jelmerdevries.com; https://www.allpsych.uni-giessen.de/karl/.
Department of Experimental Psychology, University of Oxford, Oxford, UK takuma.morimoto@psy.ox.ac.uk; https://sites.google.com/view/tmorimoto.

Karl R Gegenfurtner (KR)

Department of Psychology, Justus Liebig Universitat, Giessen, Germany vriesdejelmer@gmail.com; gegenfurtner@uni-giessen.de www.jelmerdevries.com; https://www.allpsych.uni-giessen.de/karl/.

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Classifications MeSH