Scene content is predominantly conveyed by high spatial frequencies in scene-selective visual cortex.
Scene content is predominantly conveyed by high spatial frequencies in scene-selective visual cortex.
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DOI：
10.1371/journal.pone.0189828
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Walther DB
中科院分区：
文献类型：
--
作者：
Berman D;Golomb JD;Walther DB
在复杂的现实世界场景中，图像内容是由大量相互交织的视觉特征来传达的。视觉系统解开这些特征，以提取有关图像内容的信息。在这里，我们调查的一个组成部分的作用：在图像中的空间频率的内容。具体来说，我们测量的图像内容的量进行低与高空间频率的代表性的现实世界中的场景选择区域的人类视觉皮层。为此，我们试图从观看场景图像的参与者的大脑活动模式中解码场景类别，这些场景图像包含完整的空间频谱，仅低空间频率或仅高空间频率，所有这些都仔细控制对比度和亮度。与许多行为研究和计算模型的结果相反，这些研究强调了低空间频率如何优先编码图像内容，从场景选择性大脑区域（包括海马旁位置区（PPA））解码场景类别对于高空间频率图像比低空间频率图像更准确。事实上，对于高空间频率图像，解码精度与对于包含场景选择区域PPA、RSC、OPA和对象选择区域PPA中的全空间频谱的图像一样高。我们还发现了一个有趣的分离后和前细分的PPA：类别解码从高和低空间频率的场景后PPA，但只有从高空间频率的场景前PPA;和空间频率是明确的解码后，但不是前PPA。我们的研究结果是一致的，最近的研究结果，线条画，其中几乎完全由高空间频率，引起神经表示的场景类别，这是相当于全光谱彩色照片。总的来说，这些发现证明了高空间频率对于传达复杂现实世界场景内容的重要性。
In complex real-world scenes, image content is conveyed by a large collection of intertwined visual features. The visual system disentangles these features in order to extract information about image content. Here, we investigate the role of one integral component: the content of spatial frequencies in an image. Specifically, we measure the amount of image content carried by low versus high spatial frequencies for the representation of real-world scenes in scene-selective regions of human visual cortex. To this end, we attempted to decode scene categories from the brain activity patterns of participants viewing scene images that contained the full spatial frequency spectrum, only low spatial frequencies, or only high spatial frequencies, all carefully controlled for contrast and luminance. Contrary to the findings from numerous behavioral studies and computational models that have highlighted how low spatial frequencies preferentially encode image content, decoding of scene categories from the scene-selective brain regions, including the parahippocampal place area (PPA), was significantly more accurate for high than low spatial frequency images. In fact, decoding accuracy was just as high for high spatial frequency images as for images containing the full spatial frequency spectrum in scene-selective areas PPA, RSC, OPA and object selective area LOC. We also found an interesting dissociation between the posterior and anterior subdivisions of PPA: categories were decodable from both high and low spatial frequency scenes in posterior PPA but only from high spatial frequency scenes in anterior PPA; and spatial frequency was explicitly decodable from posterior but not anterior PPA. Our results are consistent with recent findings that line drawings, which consist almost entirely of high spatial frequencies, elicit a neural representation of scene categories that is equivalent to that of full-spectrum color photographs. Collectively, these findings demonstrate the importance of high spatial frequencies for conveying the content of complex real-world scenes.
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枕叶区域在导航过程中代表环境边界有因果关系。
DOI：
10.1016/j.cub.2016.02.066
发表时间：
2016-04-25
期刊：
Current biology : CB
影响因子：
--
作者：
Julian JB;Ryan J;Hamilton RH;Epstein RA
通讯作者：
Epstein RA
影响因子：
19.9
作者：
Epstein, Russell A.
通讯作者：
Epstein, Russell A.
影响因子：
5.7
作者：
Baldassano, Christopher;Beck, Diane M.;Fei-Fei, Li
通讯作者：
Fei-Fei, Li
影响因子：
64.8
作者：
Epstein, R;Kanwisher, N
通讯作者：
Kanwisher, N
影响因子：
5.7
作者：
Choo, Heeyoung;Walther, Dirk B.
通讯作者：
Walther, Dirk B.