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.

Bibliographic Details
Main Authors: Shiva Farashahi, Katherine Rowe, Zohra Aslami, Daeyeol Lee, Alireza Soltani
Format: Article
Language:English
Published: Nature Publishing Group 2017-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-017-01874-w