How neural networks walk and chew gum.
How neural networks walk and chew gum.
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神经网络如何行走和嚼口香糖。
DOI：
10.1113/jp286287
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发表时间：
2024
期刊：
影响因子：
--
通讯作者：
Phillips,RyanS
中科院分区：
文献类型：
--
作者：
Baertsch,NathanA;Phillips,RyanS
发表在《生理学杂志》上的文章“神经网络如何行走和嚼口香糖”探讨了大脑的前波辛格复合体如何通过内在属性和网络属性的复杂相互作用产生规则呼吸（eupnoea）和叹息。威廉玛丽学院的研究人员使用计算模型和实验测试来展示 preBötzinger 复合体中的钙动力学如何导致叹息的产生。该研究强调了网络特性和内在特性（特别是 Ca2+ 动力学）如何共同控制呼吸节律的不同方面，揭示单个大脑网络如何同时执行多种功能。[摘自文章]
The article" How neural networks walk and chew gum" published in the Journal of Physiology explores how the brain's preBötzinger complex generates both regular breathing (eupnoea) and sighs through complex interactions of intrinsic and network properties. Researchers from the College of William and Mary used computational modeling and experimental tests to show how calcium dynamics within the preBötzinger complex lead to the generation of sighs. The study highlights how network properties and intrinsic properties, specifically Ca2+ dynamics, work together to control different aspects of breathing rhythms, shedding light on how single brain networks can perform multiple functions simultaneously.[Extracted from the article]