Network organization during probabilistic learning via taste outcomes

Volume: 223, Pages: 112962 - 112962
Published: Sep 1, 2020
Abstract
Reinforcement learning guides food decisions, yet how the brain learns from taste in humans is not fully understood. Existing research examines reinforcement learning from taste using passive condition paradigms, but response-dependent instrumental conditioning better reflects natural eating behavior. Here, we examined brain response during a taste-motivated reinforcement learning task and how measures of task-based network structure were...
Paper Details
Title
Network organization during probabilistic learning via taste outcomes
Published Date
Sep 1, 2020
Volume
223
Pages
112962 - 112962
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