A model of cerebellar computations for dynamical state estimation.

M G Paulin; L F Hoffman; C Assad

doi:10.1023/a:1012499209312

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A model of cerebellar computations for dynamical state estimation.

M G Paulin·L F Hoffman·C Assad

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Abstract

The cerebellum is a neural structure that is essential for agility in vertebrate movements. Its contribution to motor control appears to be due to a fundamental role in dynamical state estimation, which also underlies its role in various non-motor tasks. Single spikes in vestibular sensory neurons carry information about head state. We show how computations for optimal dynamical state estimation may be accomplished when signals are encoded in spikes. This provides a novel way to design dynamical state estimators, and a novel way to interpret the structure and function of the cerebellum.

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Acceleration Action Potentials Animals Cerebellum Computer Simulation Head Movements Models, Neurological Neural Networks, Computer Neurons, Afferent Purkinje Cells Rana catesbeiana Rotation Semicircular Canals Vestibular Nuclei Vestibule, Labyrinth NASA Discipline Neuroscience Non-NASA Center Journal Article Research Support, U.S. Gov't, Non-P.H.S.

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M G Paulin, L F Hoffman, C Assad. 2001. A model of cerebellar computations for dynamical state estimation.. https://doi.org/10.1023/a%3A1012499209312

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