Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks

Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks

The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeling it and embedding it into sensorimotor tasks allows us to create functional links between plasticity mechanisms, neural circuits and behavioral learning. Moreover, if applied to real-time control of...

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Bibliographic Details
Main Authors: Claudia eCasellato, Alberto eAntonietti, Jesus A Garrido, Giancarlo eFerrigno, Egidio eD‘Angelo, Alessandra ePedrocchi
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-02-01
Series:Frontiers in Computational Neuroscience
Subjects:
motor learning
Long Term Plasticity
cerebellar model
Distributed plasticity
Neurorobot
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00024/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00024/full

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