论文标题
将细胞和突触动力学配对为节奏神经回路的构件
Pairing cellular and synaptic dynamics into building blocks of rhythmic neural circuits
论文作者
论文摘要
本文的目的是Trifold-用作具有指导性的资源和用于生物学上合理建模的参考目录,并与i)基于电导的模型,再加上II)ii)强度变化的慢突触模型,最终在III中达到了两个规范性的配对,以节奏的节奏为生。我们记录基本网络组件的属性:单元模型和突触模型,这是适当网络组装的先决条件。使用缓慢的分解,我们对细胞动力学进行了详细分析,包括对最相关的分叉的讨论。还讨论了几种模型突触耦合的方法,并引入了新的慢突触逻辑模型。最后,我们描述并检查了两种类型的双细胞节奏生成网络:i)半中心振荡器ii)兴奋性抑制性抑制作用对并阐明了一个关键原理 - 这些神经构件中出现稳定慢爆发的稳定发作的网络滞后。这两个细胞网络是节奏感染的更复杂神经回路的基础,并且在我们的游泳中心模式发生器模型中具有特征。
The purpose of this paper is trifold -- to serve as an instructive resource and a reference catalog for biologically plausible modeling with i) conductance-based models, coupled with ii) strength-varying slow synapse models, culminating in iii) two canonical pair-wise rhythm-generating networks. We document the properties of basic network components: cell models and synaptic models, which are prerequisites for proper network assembly. Using the slow-fast decomposition we present a detailed analysis of the cellular dynamics including a discussion of the most relevant bifurcations. Several approaches to model synaptic coupling are also discussed, and a new logistic model of slow synapses is introduced. Finally, we describe and examine two types of bicellular rhythm-generating networks: i) half-center oscillators ii) excitatory-inhibitory pairs and elucidate a key principle -- the network hysteresis underlying the stable onset of emergent slow bursting in these neural building blocks. These two cell networks are a basis for more complicated neural circuits of rhythmogensis and feature in our models of swim central pattern generators.