Brain reading using full brain support vector machines for object recognition: There is no "Face" identification area
Brain reading using full brain support vector machines for object recognition: There is no "Face" identification area
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DOI：
10.1162/neco.2007.09-06-340
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发表时间：
2008-02-01
影响因子：
2.9
通讯作者：
Halchenko, Yaroslav O.
中科院分区：
文献类型：
--
作者：
Hanson, Stephen Jose;Halchenko, Yaroslav O.
在过去的十年中，对象识别工作将体素响应检测与潜在体素类别的识别相混淆。因此，声称大脑的某些区域是必要的和足够的物体识别区域，无法使用现有的关联方法（例如，通用线性模型）在脑成像方法中占主导地位。为了探讨这一争议，我们训练了来自两个不同识别任务的10个受试者的数据（40,000个体素）单个TR（重复时间）分类器，这是在两个不同的识别任务中的刺激（房屋和面部），并显示97.4％的中位数外部 - 样本（看不见的TRS）概括。这种表现使我们能够在所有受试者的大脑中可靠，独特地测定分类器的体素诊断性。在这种两级情况下，可能存在特定区域的房屋刺激（例如LO）或面部刺激（例如STS）的诊断；但是，与该文献中常见的检测结果相反，梭形面部面积和帕拉希帕克省位置区域均未证明对面部或位置的诊断均具有唯一的诊断。
Over the past decade, object recognition work has confounded voxel response detection with potential voxel class identification. Consequently, the claim that there are areas of the brain that are necessary and sufficient for object identification cannot be resolved with existing associative methods (e.g., the general linear model) that are dominant in brain imaging methods. In order to explore this controversy we trained full brain (40,000 voxels) single TR (repetition time) classifiers on data from 10 subjects in two different recognition tasks on the most controversial classes of stimuli (house and face) and show 97.4% median out-of-sample (unseen TRs) generalization. This performance allowed us to reliably and uniquely assay the classifier's voxel diagnosticity in all individual subjects' brains. In this two-class case, there may be specific areas diagnostic for house stimuli (e.g., LO) or for face stimuli (e.g., STS); however, in contrast to the detection results common in this literature, neither the fusiform face area nor parahippocampal place area is shown to be uniquely diagnostic for faces or places, respectively.