Suppr超能文献

连续回忆与联想识别中的单元熟悉度。

Continuous recollection versus unitized familiarity in associative recognition.

机构信息

Department of Psychology, University of California, San Diego, La Jolla, CA 92093-0109, USA.

出版信息

J Exp Psychol Learn Mem Cogn. 2010 Jul;36(4):843-63. doi: 10.1037/a0019755.

Abstract

Recollection has long been thought to play a key role in associative recognition tasks. Evidence that associative recollection might be a threshold process has come from analyses of the associative recognition receiver operating characteristic (ROC). Specifically, the ROC is not as curvilinear as a signal detection theory requires. In addition, the Z-ROC is usually curvilinear, as a threshold recollection model requires, not linear, as a signal detection model requires. In Experiment 1, word pairs were strengthened at study, which yielded a curvilinear ROC and a linear Z-ROC (in accordance with signal detection theory). This result suggests that associative recognition performance was based on a continuous variable, one that likely consists of either unitized familiarity or continuous recollection. The remember-know procedure and an unexpected cued recall test suggested that the more curvilinear ROC in the strong condition was mainly due to increased recollection. In Experiment 2, word pairs were presented for an old-new recognition decision before being presented for an associative recognition decision. When pairs consisting of items not recognized as having been seen on the list were removed from the analysis, the ROC again became curvilinear, the Z-ROC again became linear, and most associative recognition decisions were associated with remember judgments. These findings suggest that the curvilinear Z-ROC often observed on associative recognition tests results from noise, as a mixture signal detection model assumes, and that recollection is a continuous process that yields a curvilinear ROC that is well characterized by signal detection theory.

摘要

长期以来,人们一直认为回忆在联想识别任务中起着关键作用。联想回忆可能是一个阈值过程的证据来自于对联想识别接收者操作特征 (ROC) 的分析。具体来说,ROC 不像信号检测理论所要求的那样呈曲线状。此外,Z-ROC 通常是曲线的,这是阈值回忆模型所要求的,而不是线性的,这是信号检测模型所要求的。在实验 1 中,单词对在学习时得到强化,这导致 ROC 呈曲线状,Z-ROC 呈线性(符合信号检测理论)。这一结果表明,联想识别性能基于一个连续变量,这个变量可能由单元化的熟悉度或连续的回忆组成。记得-知道程序和一个意外的线索回忆测试表明,在强条件下更曲线的 ROC 主要是由于回忆的增加。在实验 2 中,在进行联想识别决策之前,单词对被呈现进行旧-新识别决策。当从分析中删除由未被识别为在列表上看到的项目组成的对时,ROC 再次变得曲线状,Z-ROC 再次变得线性,并且大多数联想识别决策与记得判断相关联。这些发现表明,联想识别测试中经常观察到的曲线 Z-ROC 是由噪声引起的,正如混合信号检测模型所假设的那样,而回忆是一个连续的过程,产生一个可以很好地用信号检测理论来描述的曲线 ROC。

相似文献

2
Recollection can be weak and familiarity can be strong.记忆可能较弱,而熟悉感可能较强。
J Exp Psychol Learn Mem Cogn. 2012 Mar;38(2):325-39. doi: 10.1037/a0025483. Epub 2011 Oct 3.
6
Neural correlates of familiarity-based associative retrieval.基于熟悉度的联想检索的神经关联。
Neuropsychologia. 2010 Aug;48(10):3019-25. doi: 10.1016/j.neuropsychologia.2010.06.010. Epub 2010 Jun 12.

引用本文的文献

1
Recognition memory: The probe, the returned signal, and the decision.识别记忆:探针、返回信号和决策。
Psychon Bull Rev. 2024 Apr;31(2):568-598. doi: 10.3758/s13423-021-01955-4. Epub 2023 Oct 6.
9
Distinguishing between the success and precision of recollection.区分回忆的成功与精确性。
Memory. 2016;24(1):114-27. doi: 10.1080/09658211.2014.988162. Epub 2014 Dec 13.

本文引用的文献

9
Neural correlates of availability and accessibility in memory.记忆中可得性与可及性的神经关联。
Cereb Cortex. 2008 Jul;18(7):1720-6. doi: 10.1093/cercor/bhm201. Epub 2007 Nov 21.
10
Remember/know judgments probe degrees of recollection.记忆/知晓判断探究回忆程度。
J Cogn Neurosci. 2008 Mar;20(3):400-5. doi: 10.1162/jocn.2008.20041.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验