【摘 要】
：
The cerebellum processes input from other areas of the brain,spinal cord and sensory receptors to provide precise timing for coordinated,smooth movements,which plays a significant role in motor learni
【机 构】
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School of Computer Science and Technology,Xidian University.Shaanxi,710071.
【出 处】
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第九届海内外华人神经科学家研讨会(The 9th Symposium for Chinese Neuroscientis
论文部分内容阅读
The cerebellum processes input from other areas of the brain,spinal cord and sensory receptors to provide precise timing for coordinated,smooth movements,which plays a significant role in motor learning,spatial navigation,and even emotion expression.With the in-depth exploration of the anatomy of the cerebellar circuit,mechanisms of cerebellar motor learning have attracted ever-increasing investigation.So far,dozens of theoretical models of the cerebellum have been proposed to describe the role of parallel fiber—Purkinje cell(PF-PC)synapses for learned behavior; however,few emphasize the role of error signals encoded by climbing fibers.Therefore,we focus on the instructive role of climbing fibers in motor learning and present a cerebellar learning model to describe the synaptic plasticity.Based on the known anatomy and physiology,our model is carefully designed with several key components.First,it formulates error signals via climbing fibers as the combined effects of inputs from mossy fibers,inhibitory outputs of Purkinje cells and spontaneous activity of climbing fibers,leading to a reasonable estimation of error signals.Second,we introduce the instructive role of error signals to Purkinje cells activity and thus depict the long-term depression(LTD)at PF–PC synapses in a precise way.Third,with the proposed model,a simulation study of the gain adaptation of optokinetic response(OKR)eye movement is conducted.Based on different training patterns,we finally calculate OKR gains and compare the simulation results with the existing experimental reports.Extensive results show our proposed model outperforms its rival and provides a reasonable and precise model of mechanisms of cerebellar learning.
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