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A future for neuronal oscillation research

机译:神经元振荡研究的未来

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摘要

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.
机译:神经元振荡代表大脑电活动的最明显特征。它们通常与整体脑部状态(清醒,睡眠等)有关,尤其与感觉知觉和认知过程中神经元输出的组织有关。振荡可以由单个神经元根据输入和内在电导之间的相互作用来生成,但在具有各种功能特性的互连神经元群体中,在本地网络级别更常见。正是在这个水平上,大脑丰富多样的振荡时间常数库可用于暂时组织大规模的神经活动模式。尽管新发现仍然很普遍,但该学科在微观(细胞,本地网络)水平上相对成熟,但与我们目前所掌握的相比,它需要对中观和宏观的大脑动力学有更多的了解。没有这个,从神经元的时间特性及其交流策略到整个大脑功能的外推在很大程度上仍将是理论上的。但是,大规模神经元人口记录的最新进展以及对全脑功能的更直接,更高保真度,非侵入性测量的结果表明,即将到来的许多进步。

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