首页> 美国卫生研究院文献>Frontiers in Human Neuroscience >Is it a face of a woman or a man? Visual mismatch negativity is sensitive to gender category
【2h】

Is it a face of a woman or a man? Visual mismatch negativity is sensitive to gender category

机译:是女人还是男人的脸?视觉失配否定性对性别类别敏感

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The present study investigated whether gender information for human faces was represented by the predictive mechanism indexed by the visual mismatch negativity (vMMN) event-related brain potential (ERP). While participants performed a continuous size-change-detection task, random sequences of cropped faces were presented in the background, in an oddball setting: either various female faces were presented infrequently among various male faces, or vice versa. In Experiment 1 the inter-stimulus-interval (ISI) was 400 ms, while in Experiment 2 the ISI was 2250 ms. The ISI difference had only a small effect on the P1 component, however the subsequent negativity (N1/N170) was larger and more widely distributed at longer ISI, showing different aspects of stimulus processing. As deviant-minus-standard ERP difference, a parieto-occipital negativity (vMMN) emerged in the 200–500 ms latency range (~350 ms peak latency in both experiments). We argue that regularity of gender on the photographs is automatically registered, and the violation of the gender category is reflected by the vMMN. In conclusion the results can be interpreted as evidence for the automatic activity of a predictive brain mechanism, in case of an ecologically valid category.
机译:本研究调查了人脸的性别信息是否由视觉失配阴性(vMMN)事件相关的脑电势(ERP)索引的预测机制代表。当参与者执行连续的尺寸变化检测任务时,在奇数球设置下,背景中随机出现了几张裁剪的脸部序列:各种男性面孔中很少出现各种女性面孔,反之亦然。在实验1中,刺激间隔(ISI)为400毫秒,而在实验2中,ISI为2250毫秒。 ISI差异对P1分量的影响很小,但是随后的负值(N1 / N170)更大,并且在更长的ISI上分布更广泛,显示了刺激处理的不同方面。由于ERP偏离标准负值,在200–500 ms的延迟范围(两个实验中的〜350 ms峰值延迟)范围内出现了顶枕负性(vMMN)。我们认为照片上的性别规律是自动注册的,vMMN反映了对性别类别的违反。总之,在生态有效类别的情况下,该结果可以解释为预测性脑机制自动活动的证据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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