Dimensionality reduction for large-scale neural recordings

被引：0
|
作者：
John P Cunningham
Byron M Yu
机构：
[1] Columbia University,Department of Statistics
[2] Center for the Neural Basis of Cognition,Department of Electrical and Computer Engineering, Department of Biomedical Engineering
[3] Carnegie Mellon University,Department of Biomedical Engineering
[4] Carnegie Mellon University,undefined
[5] Center for the Neural Basis of Cognition,undefined
[6] Carnegie Mellon University,undefined
来源：
Nature Neuroscience | 2014年 / 17卷
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学科分类号：
摘要：
Many recent studies have adopted dimensionality reduction to analyze neural population activity and to find features that are not apparent at the level of individual neurons. The authors describe the scientific motivation for population analyses and the dimensionality reduction methods commonly applied to population activity. They also offer practical advice about selecting methods and interpreting their outputs.
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页码：1500 / 1509
页数：9
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