A Model of Cerebellar Computations for Dynamical State Estimation

Authors:
Michael G. Paulin;Larry F. Hoffman;Christopher Assad
Affiliations:
Department of Zoology and Centre for Neuroscience, University of Otago, New Zealand. mike.paulin@stonebow.otago.ac.nz;Division of Head and Neck Surgery, UCLA School of Medicine, Los Angeles, CA, and Vestibular Research Facility, NASA-Ames Research Center, Mountain View, CA, USA;Jet Propulsion Laboratory, California Institute of Technology, MS 303-300, 4800 Oak Grove Dr., Pasadena, CA 91109, USA
Venue:
Autonomous Robots
Year:
2001

Citing 2
Cited 0

A dynamical system view of cerebellar function

CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
A cerebellar model of timing and prediction in the control of reaching

Neural Computation

Quantified Score

Hi-index	0.00

Visualization

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.