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首页> 外文期刊>Journal of Neurophysiology >Recording chronically from the same neurons in awake, behaving primates.
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Recording chronically from the same neurons in awake, behaving primates.

机译：长期清醒地从行为相同的神经元进行记录，表现为灵长类动物。

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摘要

Understanding the mechanisms of learning requires characterizing how the response properties of individual neurons and interactions across populations of neurons change over time. To study learning in vivo, we need the ability to track an electrophysiological signature that uniquely identifies each recorded neuron for extended periods of time. We have identified such an extracellular signature using a statistical framework that allows quantification of the accuracy by which stable neurons can be identified across successive recording sessions. Our statistical framework uses spike waveform information recorded on a tetrode's four channels to define a measure of similarity between neurons recorded across time. We use this framework to quantitatively demonstrate for the first time the ability to record from the same neurons across multiple consecutive days and weeks. The chronic recording techniques and methods of analyses we report can be used to characterize the changes in brain circuits due to learning.
机译：理解学习机制需要表征单个神经元的响应特性以及整个神经元群体之间的相互作用如何随时间变化。若要研究体内学习，我们需要能够跟踪电生理特征的能力，该特征可以在更长的时间内唯一地识别每个记录的神经元。我们已经使用统计框架确定了这种细胞外标记，该统计框架可以量化在连续记录期间可以识别稳定神经元的准确性。我们的统计框架使用记录在四极管的四个通道上的尖峰波形信息来定义跨时间记录的神经元之间的相似性度量。我们使用此框架来定量地证明连续多个天和周从同一神经元记录的能力。我们报告的长期记录技术和分析方法可用于表征由于学习导致的脑回路的变化。

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