The cerebellum has two distinct memory sites. A single session of behavioral training forms short-term memory in the cerebellar cortex, and by repeating the training, long-term memory is formed in the cerebellar or vestibular nuclei, as if the memory is transferred from the cortex to the nuclei. We propose a simple network model of the cerebellum for the formation and transfer of motor memory. We assume a Hebbian rule with a postsynaptic gating mechanism for synaptic plasticity in the nuclei. We carry out computer simulation of gain adaptation of vestibulo-ocular reflex (VOR) and demonstrate robust memory transfer: the synaptic weight in the nuclei does not diverge to infinity. We suggest that memory transfer occurs mainly after training, not during training, and that spontaneous activity of Purkinje cells after training is necessary for memory transfer. © 2012 Springer-Verlag.
CITATION STYLE
Yamazaki, T., & Nagao, S. (2012). Modeling post-training memory transfer in cerebellar motor learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7665 LNCS, pp. 417–424). https://doi.org/10.1007/978-3-642-34487-9_51
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