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  Evaluating alignment between humans and neural network representations in image-based learning tasks (Version posted online November 7, 2024)

Demircan, C., Saanum, T., Pettini, L., Binz, M., Baczkowski, B. M., Doeller, C. F., et al. (2024). Evaluating alignment between humans and neural network representations in image-based learning tasks (Version posted online November 7, 2024). arXiv, 2306.09377.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0010-5E41-C Version Permalink: https://hdl.handle.net/21.11116/0000-0010-5E42-B
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2306.09377v2.pdf (Preprint), 3MB
 
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https://doi.org/10.48550/arXiv.2306.09377 (Preprint)
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Here, you have access to the most recent preprint version of the article. It has replaced older versions, accessible via the same DOI, which may have had different titles and which may not be available any more via a preprint server. If you are interested in an older version of this article which is not available any more, please try to get in touch with the author(s).
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 Creators:
Demircan, Can, Author
Saanum, Tankred, Author
Pettini, Leonardo, Author
Binz, Marcel, Author
Baczkowski, Blazej M., Author
Doeller, Christian F., Author
Garvert, Mona M.1, Author                 
Schulz, Eric, Author
Affiliations:
1Max Planck Research Group NeuroCode - Neural and Computational Basis of Learning, Memory and Decision Making, Max Planck Institute for Human Development, Max Planck Society, ou_2489696              

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Language(s): eng - English
 Dates: 2024-11-07
 Publication Status: Issued
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 Rev. Type: No review
 Identifiers: DOI: 10.48550/arXiv.2306.09377
arXiv: 2306.09377
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