...
首页> 外文期刊>Neuropsychologia >Lasting first impressions: a conservative bias in automatic filters of the acoustic environment.
【24h】

Lasting first impressions: a conservative bias in automatic filters of the acoustic environment.

机译:持久的第一印象:声学环境自动过滤器中的保守偏见。

获取原文
获取原文并翻译 | 示例
           

摘要

Even in the unattended auditory environment, what we learn first appears resistant to re-evaluation based on experience. Mismatch negativity (MMN) is an auditory event-related potential elicited to rare deviation from automatically generated predictions about the sound environment. MMN amplitude is thought to reflect the potential importance of a sound for further processing. This study was designed to explore the degree to which past experience with a sound can alter automatic attributions about that sound's importance. MMN was elicited to rare (p=.125) physical "deviants" amongst a sequence of highly probable (p=.875) standard (i.e., the former deviant became the new standard and the former standard the new deviant). The time period over which a standard remained the more probable tone was varied over Fast (0.8 min), Medium (1.6 min) and Slow (2.4 min) change conditions. Given that local within-block probabilities remained constant across conditions, any change in MMN size was considered a reflection of more rostral brain regions enabling a longer time scale (across-block) representation of event-probability extraction. Larger MMNs were expected to deviations in blocks with longer standard-stability. Although a significant increase in MMN amplitude was observed with increased rule stability, MMN amplitude was heavily dependent on the initial sequence structure. A "primacy bias" was observed such that prolonged stability produced large increases in the MMN to deviations from the first established standard but substantially smaller MMN to this first standard as a later deviant. The primacy effect in these data implies that the automatic filtering of sound relevance is biased toward a confirmation of initial expectations. Initial experience therefore altered the perceived salience of subsequent events.
机译:即使在无人值守的听觉环境中,我们最先学到的东西似乎也无法根据经验进行重新评估。失配负性(MMN)是与听觉事件相关的电位,与自动生成的有关声音环境的预测极少偏离。 MMN振幅被认为可以反映声音对进一步处理的潜在重要性。这项研究旨在探讨声音的以往经验可以在多大程度上改变关于声音重要性的自动归因。在一系列高度可能(p = .875)的标准(即前者成为新标准而前者成为新标准)的序列中,MMN被引发为稀有的(p = .125)物理“偏差”。在快速(0.8分钟),中等(1.6分钟)和慢速(2.4分钟)的变化条件下,标准音保持更可能的音调的时间段有所不同。考虑到局部块内概率在各种情况下均保持不变,因此认为MMN大小的任何变化都反映了更多的大脑头部区域,从而能够以更长的时间尺度(跨块)表示事件概率。预期较大的MMN将以更长的标准稳定性在块中产生偏差。尽管观察到MMN振幅显着增加,并且规则稳定性增强,但是MMN振幅在很大程度上取决于初始序列结构。观察到“主要偏差”,使得延长的稳定性在MMN中产生了较大的增加,从而偏离了第一个已建立的标准,但实际上MMN相对于第一个建立的标准而言却稍稍变小。这些数据中的首要效应意味着声音相关性的自动过滤会偏向于对初始期望的确认。因此,最初的经验改变了随后事件的显着性。

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