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A NEW COUPLING SCHEME OF CEREBELLAR INTERNAL MODELS: ONLINE AND OFFLINE ADAPTATION IN PROCEDURAL TASKS
 

Summary: A NEW COUPLING SCHEME OF CEREBELLAR INTERNAL MODELS:
ONLINE AND OFFLINE ADAPTATION IN PROCEDURAL TASKS
Jean-Baptiste Passot1
and Angelo Arleo1
1
CNRS - UPMC Univ Paris 6, UMR 7102, F75005, Paris, France
Corresponding author: jbpassot@snv.jussieu.fr
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 populations.
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 online
adaptation and support offline learning. The proposed
model is validated on a procedural task and the
simulation results are consistent with data from human

  

Source: Arleo, Angelo - Laboratory of Neurobiology of Adaptive Processes, Université Pierre-et-Marie-Curie, Paris 6

 

Collections: Biology and Medicine