Pairing cellular and synaptic dynamics into building blocks of rhythmic neural circuits. A tutorial.

Frontiers in network physiology Pub Date : 2024-06-25 eCollection Date: 2024-01-01 DOI:10.3389/fnetp.2024.1397151
James Scully, Jassem Bourahmah, David Bloom, Andrey L Shilnikov
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Abstract

In this study we focus on two subnetworks common in the circuitry of swim central pattern generators (CPGs) in the sea slugs, Melibe leonina and Dendronotus iris and show that they are independently capable of stably producing emergent network bursting. This observation raises the question of whether the coordination of redundant bursting mechanisms plays a role in the generation of rhythm and its regulation in the given swim CPGs. To address this question, we investigate two pairwise rhythm-generating networks and examine the properties of their fundamental components: cellular and synaptic, which are crucial for proper network assembly and its stable function. We perform a slow-fast decomposition analysis of cellular dynamics and highlight its significant bifurcations occurring in isolated and coupled neurons. A novel model for slow synapses with high filtering efficiency and temporal delay is also introduced and examined. Our findings demonstrate the existence of two modes of oscillation in bicellular rhythm-generating networks with network hysteresis: i) a half-center oscillator and ii) an excitatory-inhibitory pair. These 2-cell networks offer potential as common building blocks combined in modular organization of larger neural circuits preserving robust network hysteresis.

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将细胞和突触动力学配对成节律神经回路的构建模块。教程。
在这项研究中,我们重点研究了海蛞蝓 Melibe leonina 和 Dendronotus iris 游动中央模式发生器(CPG)电路中常见的两个子网络,结果表明它们能够独立稳定地产生突发性网络猝发。这一观察结果提出了一个问题:冗余猝发机制的协调是否在特定游动 CPGs 的节律产生及其调节过程中起了作用。为了解决这个问题,我们研究了两个成对的节奏产生网络,并考察了它们的基本组成部分的特性:细胞和突触,它们对于网络的正确组装及其稳定功能至关重要。我们对细胞动力学进行了慢-快分解分析,并强调了在孤立和耦合神经元中发生的重要分岔。我们还引入并研究了一种具有高过滤效率和时间延迟的新型慢速突触模型。我们的研究结果表明,在具有网络滞后的双细胞节律产生网络中存在两种振荡模式:i)半中心振荡器;ii)兴奋-抑制对。这些双细胞网络有可能作为共同的构建模块,组合成更大的神经回路,从而保持稳健的网络滞后性。
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