A model of cerebellar computations for dynamical state estimation

被引：16

作者：

Paulin, MG

Hoffman, LF

Assad, C

机构：

[1] Univ Otago, Dept Zool, Dunedin, New Zealand

[2] Univ Otago, Ctr Neurosci, Dunedin, New Zealand

[3] Univ Calif Los Angeles, Sch Med, Div Head & Neck Surg, Los Angeles, CA 90024 USA

[4] NASA, Ames Res Ctr, Vestibular Res Facil, Mountain View, CA USA

[5] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA

来源：

AUTONOMOUS ROBOTS | 2001年 / 11卷 / 03期

基金：

美国国家航空航天局;

关键词：

cerebellum; state estimation; vestibular; neural simulation; motor control; vertebrate; receptive field; spike train; trajectory prediction; Kalman filter;

D O I：

10.1023/A:1012499209312

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：279 / 284

页数：6

共 25 条

[1] A cerebellar model of timing and prediction in the control of reaching [J].