节律性神经元网络、起搏器和k核
Rhythmogenic neuronal networks, pacemakers, and k-cores
摘要：
神经元网络由单个神经元的动力学和将它们连接在一起的网络的连接性的组合控制。我们研究的preBotzinger复杂，一个小的神经网络，控制哺乳动物的呼吸节律，通过定期发射突发的最小模型。我们表明，这样一个随机连接的网络相同的兴奋性神经元的属性是从根本上不同的均匀连接的神经元网络所描述的平均场理论。我们表明：（i）网络的连接性属性决定了触发放电爆发的紧急起搏器的位置;（ii）终止放电爆发的集体脱敏再次由网络连接性通过k核神经元集群决定。
英文摘要：
Neuronal networks are controlled by a combination of the dynamics of individual neurons and the connectivity of the network that links them together. We study a minimal model of the preBotzinger complex, a small neuronal network that controls the breathing rhythm of mammals through periodic firing bursts. We show that the properties of a such a randomly connected network of identical excitatory neurons are fundamentally different from those of uniformly connected neuronal networks as described by mean-field theory. We show that (i) the connectivity properties of the networks determines the location of emergent pacemakers that trigger the firing bursts and (ii) that the collective desensitization that terminates the firing bursts is determined again by the network connectivity, through k-core clusters of neurons.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
