Categorical and coordinate processing in object recognition depends on different spatial frequencies.
Categorical and coordinate processing in object recognition depends on different spatial frequencies.
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DOI：
10.1007/s10339-014-0635-z
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发表时间：
2015-02
影响因子：
1.7
通讯作者：
Michimata, Chikashi
中科院分区：
文献类型：
--
作者：
Saneyoshi, Ayako;Michimata, Chikashi
以往的研究表明，处理范畴空间关系需要高空间频率信息，而处理坐标空间关系需要低空间频率信息。本研究的目的是确定空间频率是否影响物体识别中的分类和协调处理。参与者完成了两个对象匹配任务，这些任务是由“geons”组成的新奇的、不可命名的对象（参见Brain con 71:181-186）。对于每个原始刺激，采用分类变换和坐标变换来创建比较刺激。这些刺激通过二维高斯包络滤波器进行高通/低切割滤波或低通/高切割滤波。分类任务由原始对象和分类转换对象组成。坐标任务由原始对象和坐标变换后的对象组成。在CRT显示器上显示未过滤的对象图像，然后是比较对象（未过滤，高通过过滤和低通过过滤的刺激）。结果表明，在分类任务中，去除目标图像中的HSF信息会产生更长的反应时间，而在坐标任务中，去除LSF信息会产生更长的反应时间。这些结果支持空间频率处理理论，特别是Kosslyn假设和双重滤波频率模型。
Previous studies have suggested that processing categorical spatial relations requires high spatial frequency (HSF) information, while coordinate spatial relations require low spatial frequency (LSF) information. The aim of the present study was to determine whether spatial frequency influences categorical and coordinate processing in object recognition. Participants performed two object-matching tasks for novel, non-nameable objects consisting of “geons” (c.f. Brain Cogn 71:181–186,). For each original stimulus, categorical and coordinate transformations were applied to create comparison stimuli. These stimuli were high-pass/low-cut-filtered or low-pass/high-cut-filtered by a filter with a 2D Gaussian envelope. The categorical task consisted of the original and categorical-transformed objects. The coordinate task consisted of the original and coordinate-transformed objects. The non-filtered object image was presented on a CRT monitor, followed by a comparison object (non-filtered, high-pass-filtered, and low-pass-filtered stimuli). The results showed that the removal of HSF information from the object image produced longer reaction times (RTs) in the categorical task, while removal of LSF information produced longer RTs in the coordinate task. These results support spatial frequency processing theory, specifically Kosslyn’s hypothesis and the double filtering frequency model.
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影响因子：
2.6
作者：
Borst, Gregoire;Kosslyn, Stephen M.
通讯作者：
Kosslyn, Stephen M.
影响因子：
2.5
作者：
JACOBS, RA;KOSSLYN, SM
通讯作者：
KOSSLYN, SM
影响因子：
2.6
作者：
Kosslyn, Stephen M.
通讯作者：
Kosslyn, Stephen M.
影响因子：
2.5
作者：
Saneyoshi, Ayako;Michimata, Chikashi
通讯作者：
Michimata, Chikashi
DOI：
10.1037//0278-7393.26.2.470
发表时间：
2000-03-01
影响因子：
2.6
作者：
Cooper, EE;Wojan, TJ
通讯作者：
Wojan, TJ