Psychology Department and Princeton, Neuroscience Institute, Princeton University, Princeton, NJ 08542, USA.
Neuroimage. 2011 May 15;56(2):476-96. doi: 10.1016/j.neuroimage.2010.05.026. Epub 2010 May 17.
Information mapping using pattern classifiers has become increasingly popular in recent years, although without a clear consensus on which classifier(s) ought to be used or how results should be tested. This paper addresses each of these questions, both analytically and through comparative analyses on five empirical datasets. We also describe how information maps in multiple class situations can provide information concerning the content of neural representations. Finally, we introduce a publically available software toolbox designed specifically for information mapping.
近年来，基于模式分类器的信息映射技术日益流行，尽管对于应该使用哪种（些）分类器以及如何测试结果，尚未达成明确共识。本文通过对五个实证数据集的分析和比较，分别对这些问题进行了探讨。我们还描述了在多类别情况下，信息图如何提供有关神经表示内容的信息。最后，我们引入了一个专门为信息映射设计的、可公开获取的软件工具箱。
