...
首页> 外文期刊>NeuroImage >The right temporo-parietal junction contributes to visual feature binding
【24h】

The right temporo-parietal junction contributes to visual feature binding

机译:正确的颞顶交界有助于视觉特征的结合

获取原文
获取原文并翻译 | 示例

摘要

We investigated the neural basis of conjoined processing of color and spatial frequency with functional magnetic resonance imaging (fMRI). A multivariate classification algorithm was trained to differentiate between either isolated color or spatial frequency differences, or between conjoint differences in both feature dimensions. All displays were presented in a singleton search task, avoiding confounds between conjunctive feature processing and search difficulty that arose in previous studies contrasting single feature and conjunction search tasks. Based on patient studies, we expected the right temporo-parietal junction (TPJ) to be involved in conjunctive feature processing. This hypothesis was confirmed in that only conjoined color and spatial frequency differences, but not isolated feature differences could be classified above chance level in this area. Furthermore, we could show that the accuracy of a classification of differences in both feature dimensions was superadditive compared to the classification accuracies of isolated color or spatial frequency differences within the right TPJ. These data provide evidence for the processing of feature conjunctions, here color and spatial frequency, in the right TPJ. (C) 2014 Elsevier Inc. All rights reserved.
机译:我们研究了功能磁共振成像(fMRI)对颜色和空间频率进行联合处理的神经基础。训练了多元分类算法,以区分孤立的颜色差异或空间频率差异,或两个特征维的联合差异。所有显示均以单例搜索任务呈现,避免了合并特征处理与先前研究中将单个特征和联合搜索任务形成对比的搜索困难之间的混淆。根据患者研究,我们希望正确的颞顶顶连接点(TPJ)参与结膜特征处理。该假设已得到确认,因为只有联合的颜色和空间频率差异,而不能将孤立的特征差异分类为高于该区域的机会水平。此外,我们可以证明,与正确的TPJ内孤立颜色或空间频率差异的分类精度相比,两个特征维上的差异分类的准确性是超加性的。这些数据为正确的TPJ中的特征合点(此处为颜色和空间频率)的处理提供了证据。 (C)2014 Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号