Title: Dendritic excitability maturates somatosensory receptive field
Abstract: History, developments, and controversies of cerebellar learning models are introduced. Kinetic simulation model of Purkinje-cell long-term depression coherently explains diverse experimental data regarding associative, spike-timing, and synapse-specificity characteristics of long-term depression. This model clearly demonstrates that long-term depression is a supervised learning rule and not anti-Hebbian. Different biochemical processes of synaptic plasticity provide distinct learning rules for different brain areas. A network model of inferior olive nucleus reproduces rhythmic and synchronized firings for strong electrical coupling but demonstrates chaotic and desynchronized firings for intermediate coupling, which is advantageous for information transmission with low firing rates of climbing fibers. The circuit comprising of the inferior olive, Purkinje cells, and the deep cerebellar nucleus could function to control degrees of freedom in learning and control based on different synchronization modes. Feedback error learning model to acquire inverse models is introduced. Experimental supports to it from ventral paraflocculus during ocular following responses are also introduced.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
Indexed In: ['crossref']
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