Comparing memory capacity across stimuli requires maximally dissimilar foils: Using deep convolutional neural networks to understand visual working memory capacity for real-world objects
Crossref DOI link: https://doi.org/10.3758/s13421-023-01485-5
Published Online: 2023-11-16
Published Print: 2024-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Brady, Timothy F.
Störmer, Viola S.
Funding for this research was provided by:
Division of Behavioral and Cognitive Sciences (BCS- 2141189, BCS-1829434)
Text and Data Mining valid from 2023-11-16
Version of Record valid from 2023-11-16
Article History
Accepted: 17 October 2023
First Online: 16 November 2023