Coupling internal cerebellar models enhances online adaptation and supports offline consolidation in sensorimotor tasks - Université Pierre et Marie Curie Accéder directement au contenu
Article Dans Une Revue Frontiers in Computational Neuroscience Année : 2013

Coupling internal cerebellar models enhances online adaptation and supports offline consolidation in sensorimotor tasks

Résumé

The cerebellum is thought to mediate sensorimotor adaptation through the acquisition of internal models of the body-environment interaction. These representations can be of two types, identified as forward and inverse models. The first predicts the sensory consequences of actions, while the second provides the correct commands to achieve desired state transitions. In this paper, we propose a composite architecture consisting of multiple cerebellar internal models to account for the adaptation performance of humans during sensorimotor learning. The proposed model takes inspiration from the cerebellar microcomplex circuit, and employs spiking neurons to process information. We investigate the intrinsic properties of the cerebellar circuitry subserving efficient adaptation properties, and we assess the complementary contributions of internal representations by simulating our model in a procedural adaptation task. Our simulation results suggest that the coupling of internal models enhances learning performance significantly (compared with independent forward and inverse models), and it allows for the reproduction of human adaptation capabilities. Furthermore, we provide a computational explanation for the performance improvement observed after one night of sleep in a wide range of sensorimotor tasks. We predict that internal model coupling is a necessary condition for the offline consolidation of procedural memories.
Fichier principal
Vignette du fichier
fncom-07-00095.pdf (2.17 Mo) Télécharger le fichier
Origine : Publication financée par une institution
Loading...

Dates et versions

hal-01551389 , version 1 (30-06-2017)

Licence

Paternité

Identifiants

Citer

Jean-Baptiste Passot, Niceto R. Luque, Angelo Arleo. Coupling internal cerebellar models enhances online adaptation and supports offline consolidation in sensorimotor tasks. Frontiers in Computational Neuroscience, 2013, 7, pp.95. ⟨10.3389/fncom.2013.00095⟩. ⟨hal-01551389⟩
141 Consultations
112 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More