神经元振荡研究的未来。

Brain and neuroscience advances Pub Date : 2019-03-01 eCollection Date: 2018-01-01 DOI:10.1177/2398212818794827
Miles A Whittington, Roger D Traub, Natalie E Adams
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引用次数: 13

摘要

神经元振荡是脑电活动最明显的特征。一般来说,它们与大脑的整体状态(清醒、睡眠等)有关,特别是与感觉知觉和认知处理过程中神经元输出的组织有关。振荡可以由单个神经元在输入和固有电导之间的相互作用的基础上产生,但在具有不同功能特性阵列的相互连接的神经元群体中,在局部网络水平上更为常见。正是在这个层面上,大脑丰富多样的振荡时间常数库在时间上组织了大规模的神经活动模式。这门学科在微观(细胞、局部网络)水平上相对成熟——尽管新的发现仍然司空见惯——但需要对中观和宏观大脑动力学有比我们目前所拥有的更多的理解。如果没有这一点,从神经元的时间特性和它们的通信策略到整个大脑功能的推断将在很大程度上停留在理论阶段。然而,最近在大规模神经元群记录和更直接、更高保真度、非侵入性全脑功能测量方面的进展表明,取得很大进展指日可待。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A future for neuronal oscillation research.

Neuronal oscillations represent the most obvious feature of electrical activity in the brain. They are linked in general with global brain state (awake, asleep, etc.) and specifically with organisation of neuronal outputs during sensory perception and cognitive processing. Oscillations can be generated by individual neurons on the basis of interaction between inputs and intrinsic conductances but are far more commonly seen at the local network level in populations of interconnected neurons with diverse arrays of functional properties. It is at this level that the brain's rich and diverse library of oscillatory time constants serve to temporally organise large-scale neural activity patterns. The discipline is relatively mature at the microscopic (cell, local network) level - although novel discoveries are still commonplace - but requires a far greater understanding of mesoscopic and macroscopic brain dynamics than we currently hold. Without this, extrapolation from the temporal properties of neurons and their communication strategies up to whole brain function will remain largely theoretical. However, recent advances in large-scale neuronal population recordings and more direct, higher fidelity, non-invasive measurement of whole brain function suggest much progress is just around the corner.

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