Cerebellar Plasticity Based Equalization of Total Input to Inferior Olive Cells
Neuroscience and Behavioral Physiology(2023)
SRISA RAS
Abstract
We present a novel biologically plausible model of cerebellar learning. The study includes three substantial points. First, we show that the effective model of cerebellum does not need any explicit error signals of organism actions to perform learning tasks. In our model the synapses weights from granule cells to Purkinje cells change so that the latter learn to reconstruct extracerebellar input to its climbing fiber cells of inferior olives (ClFCs). The second point is that we demonstrate the emergence of chaotic behaviour in our model which does not depend on electrical synapses between the cells of inferior olives. Third, we compare climbing fiber cells activity in the model with the Purkinje cells complex spikes sequences in guinea pig cerebellum using ordinal analysis method and three other independent statistical properties (variation coefficients, autocorrelation functions and intervalograms). We conclude that all examined theoretical and experimental properties are in good accordance with each other. The plausible importance of the revealed phenomenae for cerebellar function is discussed.
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Key words
Learning in cerebellum,Purkinje cell,Climbing fiber cell,Mauk-Medina hypothesis
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