用尖峰小脑皮质神经元网络进行VOR运动学习的现实模型

Keiichiro Inagaki, Yutaka Hirata
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引用次数: 1

摘要

前庭反射(VOR)在头部运动时稳定我们的视力。VOR是一种自适应控制,需要小脑小叶,特别是其高度组织的神经元网络具有各种突触可塑性。为了阐明在VOR适应过程中小脑小叶的信号处理过程,我们基于已知的解剖学和生理学,构建了一个数学模型,其中小脑皮质神经元网络由整合-放电神经元明确描述。模型模拟证实,该模型再现了正常和去凝猴子在VOR、光动力学反应和各种视觉-前庭失配范式期间浦肯野细胞简单放电模式和眼球运动的特征
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Realistic Model of VOR Motor Learning with Spiking Cerebellar Cortical Neuronal Network
The vestibuloocular reflex (VOR) stabilizes our vision during head movements. The VOR is under adaptive control which requires the cerebellar flocculus, especially its highly organized neuronal network with various synaptic plasticities. To elucidate the signal processing in cerebellar flocculus during VOR adaptation, we constructed a mathematical model in which the cerebellar cortical neuronal network is explicitly described by integrate-and-fire neurons based upon the known anatomy and physiology. Model simulations confirmed that the model reproduces characteristic Purkinje cell simple spike discharge patterns and eye movements during VOR, optokinetic response, and various visual-vestibular mismatch paradigms in normal and flocculectomized monkeys
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