Computational neural mechanisms of goal-directed planning and problem solving

Abstract excerpt

The question of how animals and humans can solve arbitrary problems and achieve arbitrary goals remains open. Model-based and model-free reinforcement learning methods have addressed these problems, but they generally lack the ability to flexibly reassign reward value to various states as the reward structure of the environment changes. Research on cognitive control has generally focused on inhibition, rule-guided...

Topics

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• Brain Mapping
• Catechol O-Methyltransferase
• Decision Making
• Dopamine
• Dopamine and cAMP-Regulated Phosphoprotein 32
• Learning
• Models, Psychological
• Reinforcement, Psychology

Identifiers and source

Literature Corpus work

a6ad4641-0af3-558d-aa9c-0b66356c61ff

DOI

10.1101/779306