Reconciling shared versus context-specific information in a neural network model of latent causes

Authors

Qihong Lu, Princeton University
Tan T Nguyen, Washington University in St. Louis
Qiong Zhang, Rutgers University - New Brunswick/Piscataway
Uri Hasson, Princeton University
Thomas L Griffiths, Princeton University
Jeffrey M Zacks, Washington University School of Medicine in St. Louis
Samuel J Gershman, Harvard University
Kenneth A Norman, Princeton University

Journal

Scientific Reports

Publication Date

7-22-2024

Volume

14

Issue

1

First Page

16782

Document Type

Open Access Publication

DOI

10.1038/s41598-024-64272-5

Rights and Permissions

Lu, Q., Nguyen, T.T., Zhang, Q. et al. Reconciling shared versus context-specific information in a neural network model of latent causes. Sci Rep 14, 16782 (2024). https://doi.org/10.1038/s41598-024-64272-5 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Recommended Citation

Lu, Qihong; Nguyen, Tan T; Zhang, Qiong; Hasson, Uri; Griffiths, Thomas L; Zacks, Jeffrey M; Gershman, Samuel J; and Norman, Kenneth A, "Reconciling shared versus context-specific information in a neural network model of latent causes." Scientific Reports. 14, 1. 16782 (2024).
https://digitalcommons.wustl.edu/oa_4/4037

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.