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Bottom-Up Modeling of Cerebro-Cerebellar Interaction
BibTeX
@MISC{Kim_bottom-upmodeling,
author = {Lily Kim and Sungho Jo and Kazutaka Takahashi and Steve G. Massaquoi},
title = {Bottom-Up Modeling of Cerebro-Cerebellar Interaction},
year = {}
}
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Abstract
The Problem: To obtain systems engineering models of the interaction between the brain’s principal motor exec-utive center, the cerebrum, and its principal ’coordinating ’ center, the cerebellum. Motivation: Increasing scientific data about the primate cerebellum appears to show that the organ provides highly important assistance to the cerebrum in many domains. These include the scaling, coordinating, timing and adaptation of body stabilization, movement and force control, autonomic and emotional responses as well as a variety of cognitive processes. Intriguingly, the microscopic neural architectures of the different cerebellar sub-regions thought to mediate these different activities are almost identical. This suggests strongly that some type of fundamental cerebellar signal processing is highly beneficial, if not critical, to most human executive and perhaps many perceptual functions. A detailed, quantitative understanding of the interactions between the cerebrum and cerebellum should the be of considerable value in understanding brain function and dysfunction, for developing artificially intelligent systems, as well as for designing neurodiagnostic and neuroprosthetic devices. Previous work: Basic engineering models have been developed to describe cerebro- cerebellar interaction in the control of single joint and two-joint limb stabilization and movement [3, 2]. These models adhere to known neu-roanatomy and spinomuscular physiology and propose quantitative descriptions of the operation of cerebral and cerebellar neural pathways. To date, these models are able to describe both the input-output motor control behavior
Keyphrases
cerebro-cerebellar interaction bottom-up modeling many domain two-joint limb stabilization principal coordinating center human executive intelligent system many perceptual function emotional response microscopic neural architecture system engineering model important assistance brain function different activity neuroprosthetic device considerable value previous work brain principal motor exec-utive center propose quantitative description single joint quantitative understanding different cerebellar sub-regions scientific data basic engineering model body stabilization cerebro cerebellar interaction input-output motor control behavior fundamental cerebellar signal processing cognitive process spinomuscular physiology primate cerebellum force control cerebellar neural pathway
