Portraits of communication in neuronal networks.,Nature Reviews Neuroscience

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Portraits of communication in neuronal networks.
Nature Reviews Neuroscience ( IF 28.7 ) Pub Date : 2019-02-01 , DOI: 10.1038/s41583-018-0094-0
Gerald Hahn ₁ , Adrian Ponce-Alvarez ₁ , Gustavo Deco _{1,

2} , Ad Aertsen _{3,

4} , Arvind Kumar _{4,

5}

Affiliation

The brain is organized as a network of highly specialized networks of spiking neurons. To exploit such a modular architecture for computation, the brain has to be able to regulate the flow of spiking activity between these specialized networks. In this Opinion article, we review various prominent mechanisms that may underlie communication between neuronal networks. We show that communication between neuronal networks can be understood as trajectories in a two-dimensional state space, spanned by the properties of the input. Thus, we propose a common framework to understand neuronal communication mediated by seemingly different mechanisms. We also suggest that the nesting of slow (for example, alpha-band and theta-band) oscillations and fast (gamma-band) oscillations can serve as an important control mechanism that allows or prevents spiking signals to be routed between specific networks. We argue that slow oscillations can modulate the time required to establish network resonance or entrainment and, thereby, regulate communication between neuronal networks.

中文翻译：

神经网络中的交流画像。

大脑被组织成一个由高度专业化的尖峰神经元网络组成的网络。为了利用这种模块化架构进行计算，大脑必须能够调节这些专门网络之间的尖峰活动流。在这篇意见文章中，我们回顾了可能构成神经元网络之间通信的各种重要机制。我们表明，神经元网络之间的通信可以理解为二维状态空间中的轨迹，由输入的属性跨越。因此，我们提出了一个通用框架来理解由看似不同的机制介导的神经元交流。我们还建议嵌套缓慢（例如，α波段和θ波段）振荡和快速（伽马波段）振荡可以作为一种重要的控制机制，允许或防止尖峰信号在特定网络之间路由。我们认为，缓慢的振荡可以调节建立网络共振或夹带所需的时间，从而调节神经元网络之间的通信。

更新日期：2019-01-26

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