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Summary: Internal models in the cerebellum: a coupling scheme
for online and offline learning in procedural tasks
Jean-Baptiste Passot1
, Niceto Luque2
, and Angelo Arleo1
1
CNRS - UPMC Univ Paris 6, UMR 7102, F75005, Paris, France
2
Dept of Computer Architecture and Technology, University of Granada, Spain
Abstract. The cerebellum plays a major role in motor control. It is thought
to mediate the acquisition of forward and inverse internal models of the body-
environment interaction [1]. In this study, the main processing components of
the cerebellar microcomplex are modelled as a network of spiking neural pop-
ulations. The model cerebellar circuit is shown to be suitable for learning both
forward and inverse models. A new coupling scheme is put forth to optimise on-
line adaptation and support offline learning. The proposed model is validated on
two procedural tasks and the simulation results are consistent with data from hu-
man experiments on adaptive motor control and sleep-dependent consolidation
[2, 3]. This work corroborates the hypothesis that both forward and inverse inter-
nal models can be learnt and stored by the same cerebellar circuit, and that their
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