Velarde Manuel G, Nekorkin Vladimir I, Makarov Valeri A, Makarenko Vladimir I, Llinás Rodolfo R
Instituto Pluridisciplinar, Universidad Complutense, Paseo Juan XXIII, No 1, Madrid 28 040, Spain.
Neural Netw. 2004 Mar;17(2):191-203. doi: 10.1016/j.neunet.2003.07.010.
A model is presented that simulates the process of neuronal synchronization, formation of coherent activity clusters and their dynamic reorganization in the olivo-cerebellar system. Three coupled 2D lattices dealing with the main cellular groups in this neuronal circuit are used to model the dynamics of the excitatory feedforward loop linking the inferior olive (IO) neurons to the cerebellar nuclei (CN) via collateral axons that also proceed to terminate as climbing fiber afferents to Purkinje cells (PC). Inhibitory feedback from the CN-lattice fosters decoupling of units in a vicinity of a given IO neuron. It is shown that noise-sustained oscillations in the IO-lattice are capable to synchronize and generate coherent firing clusters in the layer accounting for the excitable collateral axons. The model also provides phase resetting of the oscillations in the IO-lattices with transient silent behavior. It is also shown that the CN-IO feedback leads to transient patterns of couplings in the IO and to a dynamic control of the size of clusters.
本文提出了一个模型，用于模拟橄榄小脑系统中神经元同步过程、相干活动簇的形成及其动态重组。该模型使用了三个耦合的二维晶格来处理该神经回路中的主要细胞群，以模拟通过侧支轴突将下橄榄核（IO）神经元与小脑核（CN）相连的兴奋性前馈回路的动力学，这些侧支轴突也作为攀缘纤维传入终止于浦肯野细胞（PC）。来自CN晶格的抑制性反馈促进了给定IO神经元附近单元的去耦。结果表明，IO晶格中的噪声维持振荡能够同步并在考虑可兴奋侧支轴突的层中产生相干放电簇。该模型还提供了IO晶格中振荡的相位重置以及瞬态沉默行为。研究还表明，CN-IO反馈导致IO中耦合的瞬态模式以及对簇大小的动态控制。
