Improving data quality in neuronal population recordings.
Improving data quality in neuronal population recordings.
复制标题
提高神经元群体记录的数据质量。
DOI：
10.1038/nn.4365
复制
发表时间：
2016-08-26
影响因子：
25
通讯作者：
Smith SL
中科院分区：
文献类型：
--
作者：
Harris KD;Quiroga RQ;Freeman J;Smith SL
要了解大脑是如何运作的，就需要了解大量神经元是如何协同工作的。现代记录技术使同时记录数百个神经元的活动成为可能，技术发展不久将允许记录数千或数万个神经元的活动。与所有实验技术一样，这些方法容易混淆，使此类记录的解释复杂化，并可能导致错误的科学结论。在这里，我们讨论了评估和改进这些技术数据质量的方法，并概述了这一领域可能的未来方向。
Understanding how the brain operates requires understanding how large sets of neurons function together. Modern recording technology makes it possible to simultaneously record the activity of hundreds of neurons, and technological developments will soon allow recording of thousands or tens of thousands. As with all experimental techniques, these methods are subject to confounds that complicate the interpretation of such recordings, and could lead to erroneous scientific conclusions. Here, we discuss methods for assessing and improving the quality of data from these techniques, and outline likely future directions in this field.