期刊
SCIENTIFIC REPORTS
卷 7, 期 -, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/s41598-017-18004-7
关键词
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资金
- French State funds [ANR-II-IDEX-0004-02]
- Ministere de l'Enseignement Superieur et de la Recherche, France
- Fondation pour la Recherche Medicale-France [DEQ. 20120323730]
- Observatoire B2V des Memoires, France
- Ville de Paris HABOT Emergence(s) project
- National Agency for Research-France [ANR-REG-071220-01-01]
- program Investissements d'Avenir [ANR-10-LABX-BioPsy, ANR-11-LABX-65-SMART]
How do we translate self-motion into goal-directed actions? Here we investigate the cognitive architecture underlying self-motion processing during exploration and goal-directed behaviour. The task, performed in an environment with limited and ambiguous external landmarks, constrained mice to use self-motion based information for sequence-based navigation. The post-behavioural analysis combined brain network characterization based on c-Fos imaging and graph theory analysis as well as computational modelling of the learning process. The study revealed a widespread network centred around the cerebral cortex and basal ganglia during the exploration phase, while a network dominated by hippocampal and cerebellar activity appeared to sustain sequence-based navigation. The learning process could be modelled by an algorithm combining memory of past actions and model-free reinforcement learning, which parameters pointed toward a central role of hippocampal and cerebellar structures for learning to translate self-motion into a sequence of goal-directed actions.
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