A cerebellar model of timing and prediction in the control of reaching

被引:75
作者
Barto, AG [1 ]
Fagg, AH
Sitkoff, N
Houk, JC
机构
[1] Univ Massachusetts, Dept Comp Sci, Amherst, MA 01003 USA
[2] Northwestern Univ, Sch Med, Dept Physiol, Chicago, IL 60611 USA
关键词
D O I
10.1162/089976699300016575
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A simplified model of the cerebellum was developed to explore its potential for adaptive, predictive control based on delayed feedback information. An abstract representation of a single Purkinje cell with multistable properties was interfaced, using a formalized premotor network, with a simulated single degree-of-freedom limb. The limb actuator was a nonlinear spring-mass system based on the nonlinear velocity dependence of the stretch reflex. By including realistic mossy fiber signals, as well as realistic conduction delays in afferent and efferent pathways, the model allowed the investigation of timing and predictive processes relevant to cerebellar involvement in the control of movement. The model regulates movement by learning to react in an anticipatory fashion to sensory feedback. Learning depends on training information generated from corrective movements and uses a temporally asymmetric form of plasticity for the parallel fiber synapses on Purkinje cells.
引用
收藏
页码:565 / 594
页数:30
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