Comparing memory capacity across stimuli requires maximally dissimilar foils: Using deep convolutional neural networks to understand visual working memory capacity for real-world objects.
The capacity of visual working and visual long-term memory plays a critical role in theories of cognitive architecture and the relationship between memory and other cognitive systems. Here, we argue that before asking the question of how capacity varies across different stimuli or what the upper bou...
| Publicado en: | Memory & Cognition Vol. 52; no. 3; pp. 595 - 610 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
Apr2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |