Division of Neuroscience and Experimental Psychology, University of Manchester.
Department of Psychology, New York University.
Psychol Rev. 2019 Jul;126(4):455-485. doi: 10.1037/rev0000132. Epub 2019 Apr 11.
Emotion enhances episodic memory, an effect thought to be an adaptation to prioritize the memories that best serve evolutionary fitness. However, viewing this effect largely in terms of prioritizing what to encode or consolidate neglects broader rational considerations about what sorts of associations should be formed at encoding, and which should be retrieved later. Although neurobiological investigations have provided many mechanistic clues about how emotional arousal modulates item memory, these effects have not been wholly integrated with the cognitive and computational neuroscience of memory more generally. Here we apply the Context Maintenance and Retrieval Model (CMR; Polyn, Norman, & Kahana, 2009) to this problem by extending it to describe the way people may represent and process emotional information. A number of ways to operationalize the effect of emotion were tested. The winning emotional CMR (eCMR) model conceptualizes emotional memory effects as arising from the modulation of a process by which memories become bound to ever-changing temporal and emotional contexts. eCMR provides a good qualitative fit for the emotional list-composition effect and the emotional oddball effect, illuminating how these effects are jointly determined by the interplay of encoding and retrieval processes. eCMR can account for the increased advantage of emotional memories in delayed memory tests by assuming a limited ability to reinstate the temporal context of encoding after a delay. By leveraging the rich tradition of temporal context models, eCMR helps integrate existing effects of emotion and provides a powerful tool to test mechanisms by which emotion affects memory in a broad range of paradigms. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
情绪增强了情景记忆,这种效应被认为是一种适应进化适应性的机制,优先处理那些最能服务于进化适应性的记忆。然而,将这种效应主要视为优先考虑要编码或巩固的内容,而忽略了在编码时应该形成哪种联想以及以后应该检索哪种联想的更广泛的理性考虑。尽管神经生物学研究为情绪唤醒如何调节项目记忆提供了许多机制线索,但这些效应尚未完全与记忆的认知和计算神经科学整合在一起。在这里,我们通过将情景维持和检索模型(CMR;Polyn、Norman 和 Kahana,2009)扩展到描述人们可能代表和处理情绪信息的方式,将其应用于这个问题。我们测试了许多操作情绪效应的方法。获胜的情绪 CMR(eCMR)模型将情绪记忆效应概念化为源自对记忆与不断变化的时间和情绪上下文绑定的过程的调制。eCMR 为情绪列表组成效应和情绪异常效应提供了很好的定性拟合,阐明了这些效应如何共同由编码和检索过程的相互作用决定。通过假设在延迟后重新建立编码的时间上下文的能力有限,eCMR 可以解释为什么情绪记忆在延迟记忆测试中具有更高的优势。通过利用时间上下文模型的丰富传统,eCMR 有助于整合现有的情绪效应,并提供了一个强大的工具来测试情绪通过广泛的范式影响记忆的机制。(PsycINFO 数据库记录(c)2019 APA,保留所有权利)。