Reinforcement Learning Atlas

Julian Michael Tyszka; Wolfgang Pauli; Amanda Nili; Masako Okamoto

doi:10.17605/OSF.IO/JKZWP

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An In Vivo High Resolution Atlas of the Subcortical Human Brain /

Reinforcement Learning Atlas

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Description: An in vivo atlas of human subcortical nuclei involved in reinforcement learning. Based on a midspace template derived from Human Connectome Project structural MRI.

License: CC-By Attribution 4.0 International

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Reinforcement Learning Atlas

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