Implications of capacity-limited, generative models for human vision

Although discriminative deep neural networks are currently dominant in cognitive modeling, we suggest that capacity-limited, generative models are a promising avenue for future work. Generative models tend to learn both local and global features of stimuli and, when properly constrained, can learn c...

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Veröffentlicht in:	The Behavioral and brain sciences 2023-12, Vol.46, p.e391-e391, Article e391
Hauptverfasser:	German, Joseph Scott, Jacobs, Robert A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Cognition & reasoning Cognitive ability Decision theory Machine learning Memory Neural networks Open Peer Commentary
Online-Zugang:	Volltext
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