Feature-based learning improves adaptability without compromising precision
Learning about a rewarded outcome is complicated by the fact that a choice often incorporates multiple features with differing association with the reward. Here the authors demonstrate that feature-based learning is an efficient and adaptive strategy in dynamically changing environments.
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2017-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-017-01874-w |