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Article Dans Une Revue Scientific Reports Année : 2023

Strategy inference during learning via cognitive activity-based credit assignment models

Résumé

We develop a method for selecting meaningful learning strategies based solely on the behavioral data of a single individual in a learning experiment. We use simple Activity-based Credit Assignment algorithms to model the different strategies and couple them with a novel hold-out statistical selection method. Application on rat behavioral data in a continuous T-maze task reveals a particular learning strategy that consists in chunking the paths used by the animal. Neuronal data collected in the dorsomedial striatum confirm this strategy.
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Dates et versions

hal-04251673 , version 1 (20-10-2023)

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Ashwin Moongathottathil James, Patricia Reynaud-Bouret, Giulia Mezzadri, Francesca Sargolini, Ingrid Bethus, et al.. Strategy inference during learning via cognitive activity-based credit assignment models. Scientific Reports, 2023, 13 (9408), ⟨10.1038/s41598-023-33604-2⟩. ⟨hal-04251673⟩
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