Gutenberg Open Science: Striatal hub of dynamic and stabilized prediction coding in forebrain networks for olfactory reinforcement learning

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-8796

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DC Field	Value	Language
dc.contributor.author	Winkelmeier, Laurens	-
dc.contributor.author	Filosa, Carla	-
dc.contributor.author	Hartig, Renée	-
dc.contributor.author	Scheller, Max	-
dc.contributor.author	Sack, Markus	-
dc.contributor.author	Reinwald, Jonathan R.	-
dc.contributor.author	Becker, Robert	-
dc.contributor.author	Wolf, David	-
dc.contributor.author	Gerchen, Martin Fungisai	-
dc.contributor.author	Sartorius, Alexander	-
dc.contributor.author	Meyer-Lindenberg, Andreas	-
dc.contributor.author	Fahr-Weber, Wolfgang	-
dc.contributor.author	Clemm von Hohenberg, Christian	-
dc.contributor.author	Russo, Eleonora	-
dc.contributor.author	Kelsch, Wolfgang	-
dc.date.accessioned	2023-02-10T09:37:14Z	-
dc.date.available	2023-02-10T09:37:14Z	-
dc.date.issued	2022	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/8812	-
dc.description.abstract	Identifying the circuits responsible for cognition and understanding their embedded computations is a challenge for neuroscience. We establish here a hierarchical cross-scale approach, from behavioral modeling and fMRI in task-performing mice to cellular recordings, in order to disentangle local network contributions to olfactory reinforcement learning. At mesoscale, fMRI identifies a functional olfactory-striatal network interacting dynamically with higher-order cortices. While primary olfactory cortices respectively contribute only some value components, the downstream olfactory tubercle of the ventral striatum expresses comprehensively reward prediction, its dynamic updating, and prediction error components. In the tubercle, recordings reveal two underlying neuronal populations with non-redundant reward prediction coding schemes. One population collectively produces stabilized predictions as distributed activity across neurons; in the other, neurons encode value individually and dynamically integrate the recent history of uncertain outcomes. These findings validate a cross-scale approach to mechanistic investigations of higher cognitive functions in rodents.	en_GB
dc.description.sponsorship	Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577	de
dc.language.iso	eng	de
dc.rights	CC BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.ddc	610 Medizin	de_DE
dc.subject.ddc	610 Medical sciences	en_GB
dc.title	Striatal hub of dynamic and stabilized prediction coding in forebrain networks for olfactory reinforcement learning	en_GB
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-8796	-
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 04 Medizin	de
jgu.organisation.number	2700	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	Nature Communications	de
jgu.journal.volume	13	de
jgu.pages.alternative	3305	de
jgu.publisher.year	2022	-
jgu.publisher.name	Nature Publishing Group	de
jgu.publisher.place	London	de
jgu.publisher.issn	2041-1723	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	610	de
jgu.publisher.doi	10.1038/s41467-022-30978-1	de
jgu.organisation.ror	https://ror.org/023b0x485	-
jgu.subject.dfg	Multidisciplinary	de
Appears in collections:	DFG-491381577-G

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