Studying memory narratives with natural language processing.

IF 16.7 1区 心理学 Q1 BEHAVIORAL SCIENCES
Can Fenerci, Ziming Cheng, Donna Rose Addis, Buddhika Bellana, Signy Sheldon
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引用次数: 0

Abstract

Cognitive neuroscience research has begun to use natural language processing (NLP) to examine memory narratives with the hopes of gaining a nuanced understanding of the mechanisms underlying differences in memory recall, both across groups and tasks. However, the diversity of NLP approaches can make it challenging for researchers to know which techniques to use and when to apply them. We outline how different NLP techniques can be applied to narrative descriptions to address specific questions about the neurocognitive processes underlying memory narratives. We also discuss the strengths and limitations of NLP methods for use in memory research, highlighting both their potential and their constraints in uncovering the mechanisms of remembering.

认知神经科学研究已开始使用自然语言处理(NLP)技术来研究记忆叙述,希望能从细微处了解不同群体和不同任务之间记忆回忆差异的内在机制。然而,NLP方法的多样性可能会让研究人员难以确定应该使用哪些技术以及何时使用。我们概述了如何将不同的 NLP 技术应用于叙述描述,以解决有关记忆叙述的神经认知过程的具体问题。我们还讨论了用于记忆研究的 NLP 方法的优势和局限性,强调了这些方法在揭示记忆机制方面的潜力和局限性。
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来源期刊
Trends in Cognitive Sciences
Trends in Cognitive Sciences 医学-行为科学
CiteScore
27.90
自引率
1.50%
发文量
156
审稿时长
6-12 weeks
期刊介绍: Essential reading for those working directly in the cognitive sciences or in related specialist areas, Trends in Cognitive Sciences provides an instant overview of current thinking for scientists, students and teachers who want to keep up with the latest developments in the cognitive sciences. The journal brings together research in psychology, artificial intelligence, linguistics, philosophy, computer science and neuroscience. Trends in Cognitive Sciences provides a platform for the interaction of these disciplines and the evolution of cognitive science as an independent field of study.
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