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  Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning

Schuck, N. W., Petok, J. R., Meeter, M., Schjeide, B.-M.-M., Schröder, J., Bertram, L., et al. (2018). Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning. Neurobiology of Aging, 61, 36-43. doi:10.1016/j.neurobiolaging.2017.08.026.

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id10007459.pdf (Publisher version), 342KB
 
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 Creators:
Schuck, Nicolas W.1, 2, Author              
Petok, Jessica R., Author
Meeter, Martijn, Author
Schjeide, Brit-Maren M., Author
Schröder, Julia1, 3, 4, Author              
Bertram, Lars, Author
Gluck, Mark A., Author
Li, Shu-Chen2, 3, Author              
Affiliations:
1Max Planck Research Group NeuroCode - Neural and Computational Basis of Learning, Decision Making and Memory, Max Planck Institute for Human Development, Max Planck Society, ou_2489696              
2External Organizations, ou_persistent22              
3Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society, ou_2074288              
4Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433545              

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Language(s): eng - English
 Dates: 2018
 Publication Status: Published in print
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 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neurobiolaging.2017.08.026
Other: alg:id10007459
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Title: Neurobiology of Aging
Source Genre: Journal
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Pages: - Volume / Issue: 61 Sequence Number: - Start / End Page: 36 - 43 Identifier: -