The logic behind neural control of breathing pattern
The logic behind neural control of breathing pattern
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DOI：
10.1038/s41598-019-45011-7
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发表时间：
2019-06-24
影响因子：
4.6
通讯作者：
Leite, Maria C. A.
中科院分区：
文献类型：
--
作者：
Ben-Tal, Alona;Wang, Yunjiao;Leite, Maria C. A.
呼吸节律发生器在支持广泛活动和适应不断变化的环境条件方面的能力是惊人的，但其操作机制仍然是难以捉摸的。我们展示了如何在神经系统的新表示（称为布尔网络）中实现对灵感和到期时间的选择性控制。新的框架使我们能够基于神经元的属性来预测神经网络的行为，而不是它们的值。因此，它揭示了控制呼吸模式的神经机制背后的逻辑。我们的网络模拟了呼吸网络的许多特征，如从3相到2相再到1相节律的转变，提供了新的见解和新的可测试的预测。
The respiratory rhythm generator is spectacular in its ability to support a wide range of activities and adapt to changing environmental conditions, yet its operating mechanisms remain elusive. We show how selective control of inspiration and expiration times can be achieved in a new representation of the neural system (called a Boolean network). The new framework enables us to predict the behavior of neural networks based on properties of neurons, not their values. Hence, it reveals the logic behind the neural mechanisms that control the breathing pattern. Our network mimics many features seen in the respiratory network such as the transition from a 3-phase to 2-phase to 1-phase rhythm, providing novel insights and new testable predictions.