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Task complexity interacts with state-space uncertainty in the arbitration process between model-based and model-free reinforcement-learning at both behavioral and neural levels
View ORCID ProfileDongjae Kim, Geon Yeong Park, John P. O’Doherty, View ORCID ProfileSang Wan Lee
doi: https://doi.org/10.1101/393983
Dongjae Kim
1Department of Bio and Brain Engineering, Korea Advanced Institute of Science Technology (KAIST) Daejeon 34141, Republic of Korea
2Brain and Cognitive Engineering Program, Korea Advanced Institute of Science Technology (KAIST) Daejeon 34141, Republic of Korea
Geon Yeong Park
1Department of Bio and Brain Engineering, Korea Advanced Institute of Science Technology (KAIST) Daejeon 34141, Republic of Korea
2Brain and Cognitive Engineering Program, Korea Advanced Institute of Science Technology (KAIST) Daejeon 34141, Republic of Korea
John P. O’Doherty
5Computation & Neural Systems, California Institute of Technology Pasadena, CA 91125, USA
6Behavioral & Social Neuroscience, California Institute of Technology Pasadena, CA 91125, USA
7Division of Humanities and Social Sciences, California Institute of Technology Pasadena, CA 91125, USA
Sang Wan Lee
1Department of Bio and Brain Engineering, Korea Advanced Institute of Science Technology (KAIST) Daejeon 34141, Republic of Korea
2Brain and Cognitive Engineering Program, Korea Advanced Institute of Science Technology (KAIST) Daejeon 34141, Republic of Korea
3KI for Health Science Technology, Korea Advanced Institute of Science Technology (KAIST) Daejeon 34141, Republic of Korea
4KI for Artificial Intelligence, Korea Advanced Institute of Science Technology (KAIST) Daejeon 34141, Republic of Korea
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Posted August 19, 2018.
Task complexity interacts with state-space uncertainty in the arbitration process between model-based and model-free reinforcement-learning at both behavioral and neural levels
Dongjae Kim, Geon Yeong Park, John P. O’Doherty, Sang Wan Lee
bioRxiv 393983; doi: https://doi.org/10.1101/393983
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