Norman Kenneth A, Tepe Katharine, Nyhus Erika, Curran Tim
Department of Psychology, Princeton University, Princeton, New Jersey 08540, USA.
Psychon Bull Rev. 2008 Feb;15(1):36-43. doi: 10.3758/pbr.15.1.36.
The question of interference (how new learning affects previously acquired knowledge and vice versa) is a central theoretical issue in episodic memory research, but very few human neuroimaging studies have addressed this question. Here, we used event-related potentials (ERPs) to test the predictions of the complementary learning systems (CLS) model regarding how list strength manipulations (strengthening some, but not all, items on a study list) affect recognition memory. Our analysis focused on the FN400 old-new effect, a hypothesized ERP correlate of familiarity-based recognition, and the parietal old-new effect, a hypothesized ERP correlate of recollection-based recognition. As is predicted by the CLS model, increasing list strength selectively reduced the ERP correlate of recollection-based discrimination, leaving the ERP correlate of familiarity-based discrimination intact. In a second experiment, we obtained converging evidence for the CLS model's predictions, using a remember/know test: Increasing list strength reduced recollection-based discrimination but did not reduce familiarity-based discrimination.
干扰问题(新学习如何影响先前习得的知识,反之亦然)是情景记忆研究中的一个核心理论问题,但很少有人类神经影像学研究探讨过这个问题。在这里,我们使用事件相关电位(ERP)来检验互补学习系统(CLS)模型关于列表强度操纵(增强学习列表上的一些但不是所有项目)如何影响识别记忆的预测。我们的分析集中在FN400新旧效应(一种假设的基于熟悉度的识别的ERP相关指标)和顶叶新旧效应(一种假设的基于回忆的识别的ERP相关指标)上。正如CLS模型所预测的那样,增加列表强度选择性地降低了基于回忆的辨别力的ERP相关指标,而基于熟悉度的辨别力的ERP相关指标则保持不变。在第二个实验中,我们使用记住/知道测试获得了支持CLS模型预测的收敛证据:增加列表强度降低了基于回忆的辨别力,但没有降低基于熟悉度的辨别力。