The Multiple Dimensions of Familiarity: From Representations to Phenomenology.

IF 3.2 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Wiley Interdisciplinary Reviews-Cognitive Science Pub Date : 2024-11-06 DOI:10.1002/wcs.1698
Jérémy Gardette, Emma Delhaye, Christine Bastin
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Abstract

This article focuses on familiarity, the form of memory allowing humans to recognize stimuli that have been encountered before. We aim to emphasize its complex nature which includes representational and phenomenological dimensions. The former implies that its neural correlates depend on the type and complexity of the cue stimulus, as different classes of stimuli are represented in distributed ventral visual and medial temporal regions. The second dimension relates to the subjective feeling of familiarity, which results from a fluency signal that is attributed to past encounters with the stimulus. We review mnemonic and non-mnemonic sources of fluency that can induce a sense of familiarity, as well as cases where fluency is not attributed to memory, among which the phenomenological experience of déjà-vu. Across these two dimensions, we highlight key questions to be answered by future studies to improve our understanding of the underpinnings of this form of memory and contribute to building an integrative neurocognitive model of familiarity. Essential to this aim is the clarification of the computational, cognitive, and neural mechanisms involved, namely global matching, fluency attribution, and sharpening. Furthermore, future research is needed to unravel the relationships between these mechanisms. We argue that to achieve these goals, researchers must use appropriate behavioral paradigms and clearly define which dimension of familiarity they investigate.

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熟悉的多重维度:从表象到现象学
熟悉感是一种记忆形式,它使人类能够识别以前遇到过的刺激。我们旨在强调其复杂性,包括表征和现象两个层面。前者意味着其神经相关性取决于线索刺激的类型和复杂程度,因为不同类别的刺激在分布的腹侧视觉区和内侧颞区都有表现。第二个维度与熟悉感的主观感受有关,这种熟悉感来自于过去遇到刺激时产生的流畅性信号。我们回顾了可引起熟悉感的记忆性和非记忆性流畅性来源,以及流畅性不归因于记忆的情况,其中包括 "似曾相识 "的现象学体验。通过这两个维度,我们强调了未来研究需要回答的关键问题,以加深我们对这种记忆形式的基础的理解,并为建立熟悉感的综合神经认知模型做出贡献。要实现这一目标,关键是要阐明所涉及的计算、认知和神经机制,即全局匹配、流畅性归因和锐化。此外,未来的研究还需要揭示这些机制之间的关系。我们认为,要实现这些目标,研究人员必须使用适当的行为范式,并明确界定他们研究的熟悉度维度。
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来源期刊
CiteScore
7.30
自引率
7.70%
发文量
50
期刊最新文献
The Multiple Dimensions of Familiarity: From Representations to Phenomenology. Compositionality in perception: A framework. An update of the development of motor behavior. Consciousness Under the Spotlight: The Problem of Measuring Subjective Experience. Catching Mind Wandering With Pupillometry: Conceptual and Methodological Challenges.
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