Article

Beyond Reward Prediction Errors: Human Striatum Updates Rule Values During Learning

2017-03-09

Abstract excerpt

<h4>ABSTRACT</h4> Humans naturally group the world into coherent categories defined by membership rules. Rules can be learned implicitly by building stimulus-response associations using reinforcement learning (RL) or by using explicit reasoning. We tested if the striatum, in which activation reliably scales with reward prediction error, would track prediction errors in a task that required explicit rule generatio...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ad186a80-046e-5b4c-a62e-462cb3ddb9ed
DOI: 10.1101/115253

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Beyond Reward Prediction Errors: Human Striatum Updates Rule Values During LearningDOI 10.1101/115253Read

Fronto-parietal, cingulo-opercular and striatal contributions to learning and implementing control policiesSemantic proximity Read

The Neural Architecture of Theory-based Reinforcement LearningSemantic proximity Read

The Role of Executive Function in Shaping Reinforcement LearningSemantic proximity Read

Computational Evidence for Hierarchically-Structured Reinforcement Learning in HumansSemantic proximity Read

Subjective confidence reveals the hierarchical nature of learning under uncertaintySemantic proximity Read

Cognitive maps in the prefrontal cortexSemantic proximity Read

Learning from error predictions rather than prediction errors: a theory of self-supervised learning in the brainSemantic proximity Read

Learning from error predictions rather than prediction errors: a theory of self-supervised learning in the brainSemantic proximity Read

Toward the Emergence of Intelligent Control: Episodic Generalization and OptimizationSemantic proximity Read

Unsupervised nonmotor learning in the human cerebellumSemantic proximity Read

Neural mechanisms of credit assignment for inferred relationships in a structured worldSemantic proximity Read

Learning to Attend Through Value-Based Hypothesis TestingSemantic proximity Read