Theoretical and Experimental Neurobiology Unit, Okinawa Institute of Science and Technology, 7542 Onna, Onna-son, Okinawa 904-0411, Japan.
J Physiol. 2011 Jul 15;589(Pt 14):3441-57. doi: 10.1113/jphysiol.2010.201582. Epub 2011 Apr 26.
The microcircuitry of cerebellar cortex and, in particular, the physiology of its main element, the Purkinje neuron, has been extensively investigated and described. However, activity in Purkinje neurons, either as single cells or populations, does not directly mediate the cerebellar effects on the motor effector systems. Rather, the result of the entire cerebellar cortical computation is passed to the relatively small cerebellar nuclei that act as the final, integrative processing unit in the cerebellar circuitry. The nuclei ultimately control the temporal and spatial features of the cerebellar output. Given this key role, it is striking that the internal organization and the connectivity with afferent and efferent pathways in the cerebellar nuclei are rather poorly known. In the present review, we discuss some of the many critical shortcomings in the understanding of cerebellar nuclei microcircuitry: the extent of convergence and divergence of the cerebellar cortical pathway to the various cerebellar nuclei neurons and subareas, the possible (lack of) conservation of the finely-divided topographical organization in the cerebellar cortex at the level of the nuclei, as well as the absence of knowledge of the synaptic circuitry within the cerebellar nuclei. All these issues are important for predicting the pattern-extraction and encoding capabilities of the cerebellar nuclei and, until resolved, theories and models of cerebellar motor control and learning may err considerably.
小脑皮层的微电路,特别是其主要元件浦肯野神经元的生理学,已经得到了广泛的研究和描述。然而,浦肯野神经元的活动,无论是作为单个细胞还是群体,都不会直接介导小脑对运动效应器系统的影响。相反,整个小脑皮层计算的结果被传递到相对较小的小脑核,作为小脑回路中的最终综合处理单元。核最终控制小脑输出的时间和空间特征。鉴于小脑核在小脑回路中起着关键作用,令人惊讶的是,小脑核的内部组织及其与传入和传出途径的连接在很大程度上仍不为人知。在本综述中,我们讨论了对小脑核微电路理解的一些关键不足之处:小脑皮层途径到各个小脑核神经元和亚区的汇聚和发散程度,小脑皮层精细划分的拓扑组织在核水平上的可能(缺乏)保留,以及小脑核内突触回路的缺失。所有这些问题对于预测小脑核的模式提取和编码能力都很重要,在这些问题得到解决之前,小脑运动控制和学习的理论和模型可能会有很大的误差。