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从神经元到认知:用于精确记录行为背后神经活动的技术。

From Neurons to Cognition: Technologies for Precise Recording of Neural Activity Underlying Behavior.

作者信息

Roth Richard H, Ding Jun B

机构信息

Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA.

Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.

出版信息

BME Front. 2020 Dec 25;2020:7190517. doi: 10.34133/2020/7190517. eCollection 2020.

Abstract

Understanding how brain activity encodes information and controls behavior is a long-standing question in neuroscience. This complex problem requires converging efforts from neuroscience and engineering, including technological solutions to perform high-precision and large-scale recordings of neuronal activity as well as unbiased methods to reliably measure and quantify behavior. Thanks to advances in genetics, molecular biology, engineering, and neuroscience, in recent decades, a variety of optical imaging and electrophysiological approaches for recording neuronal activity in awake animals have been developed and widely applied in the field. Moreover, sophisticated computer vision and machine learning algorithms have been developed to analyze animal behavior. In this review, we provide an overview of the current state of technology for neuronal recordings with a focus on optical and electrophysiological methods in rodents. In addition, we discuss areas that future technological development will need to cover in order to further our understanding of the neural activity underlying behavior.

摘要

理解大脑活动如何编码信息并控制行为是神经科学中一个长期存在的问题。这个复杂的问题需要神经科学和工程学的共同努力,包括用于对神经元活动进行高精度大规模记录的技术解决方案,以及可靠测量和量化行为的无偏方法。得益于遗传学、分子生物学、工程学和神经科学的进展,近几十年来,已开发出多种用于记录清醒动物神经元活动的光学成像和电生理方法,并在该领域得到广泛应用。此外,还开发了复杂的计算机视觉和机器学习算法来分析动物行为。在这篇综述中,我们概述了神经元记录技术的当前状态,重点关注啮齿动物中的光学和电生理方法。此外,我们还讨论了未来技术发展为进一步理解行为背后的神经活动所需要涵盖的领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5032/10521756/429608a2cd54/7190517.fig.001.jpg

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