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首页> 外文期刊>Journal of Neurophysiology >Data-driven functional clustering reveals dominance of face, place, and body selectivity in the ventral visual pathway
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Data-driven functional clustering reveals dominance of face, place, and body selectivity in the ventral visual pathway

机译:数据驱动功能集群显示腹侧视觉途径中面部,地方和身体选择性的主导地位

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摘要

Regions selective for faces, places, and bodies feature prominently in the literature on the human ventral visual pathway. Are selectivities for these categories in fact the most robust response profiles in this pathway, or is their prominence an artifact of biased sampling of the hypothesis space in prior work? Here we use a data-driven structure discovery method that avoids the assumptions built into most prior work by 1) giving equal consideration to all possible response profiles over the conditions tested, 2) relaxing implicit anatomical constraints (that important functional profiles should manifest themselves in spatially contiguous voxels arising in similar locations across subjects), and 3) testing for dominant response profiles over images, rather than categories, thus enabling us to discover, rather than presume, the categories respected by the brain. Even with these assumptions relaxed, face, place, and body selectivity emerge as dominant in the ventral stream.
机译:在人类腹侧视线的文献中,面部选择性地为面部,地方和身体选择性。 这些类别的选择性实际上是该途径中最强大的响应概况,或者是他们在事先工作中的假设空间的偏见抽样的术语突出? 在这里,我们使用数据驱动的结构发现方法,避免了最先前的工作中的假设1)给出了测试所经过测试的条件的所有可能的响应概况,2)放松隐式解剖结构(重要的功能轮廓应该表现出来 在跨对象的类似位置产生的空间连续的体素)和3)测试在图像上的主导响应概况,而不是类别,从而使我们能够发现,而不是预设的类别。 即使这些假设放松,面部,地方和身体选择性也被出现在腹侧流中的主导。

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