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A computational psychiatry approach identifies how alpha-2A noradrenergic agonist Guanfacine affects feature-based reinforcement learning in the macaque

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A computational psychiatry approach identifies how alpha-2A noradrenergic agonist Guanfacine affects feature-based reinforcement learning in the macaque

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Hassani, SA.; Oemisch, M.; Balcarras, M.; Westendorff, S.; Ardid-Ramírez, JS.; Van Der Meer, MA.; Tiesinga, P.... (2017). A computational psychiatry approach identifies how alpha-2A noradrenergic agonist Guanfacine affects feature-based reinforcement learning in the macaque. Scientific Reports. 7:1-19. https://doi.org/10.1038/srep40606

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/167599

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Title: A computational psychiatry approach identifies how alpha-2A noradrenergic agonist Guanfacine affects feature-based reinforcement learning in the macaque
Author: Hassani, S. A. Oemisch, M. Balcarras, M. Westendorff, S. Ardid-Ramírez, Joan Salvador van der Meer, M. A. Tiesinga, P. Womelsdorf, T.
UPV Unit: Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Issued date:
Abstract:
[EN] Noradrenaline is believed to support cognitive flexibility through the alpha 2A noradrenergic receptor (a2A-NAR) acting in prefrontal cortex. Enhanced flexibility has been inferred from improved working memory with ...[+]
Copyrigths: Reconocimiento (by)
Source:
Scientific Reports. (issn: 2045-2322 )
DOI: 10.1038/srep40606
Publisher:
Nature Publishing Group
Publisher version: https://doi.org/10.1038/srep40606
Thanks:
This research was supported by grants from the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Ontario Ministry of Economic Development and ...[+]
Type: Artículo

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