熟悉的多重维度:从表征到现象学
Jérémy Gardette1,2, Emma Delhaye1,2, Christine Bastin1,2
1GIGA Research, CRC Human Imaging, University of Liège, Liege, Belgium.
Wiley interdisciplinary reviews. Cognitive science
|November 7, 2024
概括
熟悉,一种用于识别先前刺激的记忆形式,具有复杂的表征和主观维度. 未来的研究必须澄清其基础的计算,认知和神经机制,以实现综合模型.
科学领域:
- 神经科学是一个神经科学.
- 认知心理学 认知心理学
- 记忆研究 记忆研究
背景情况:
- 熟悉是一种关键的记忆功能,使得人们能够识别以前遇到的刺激.
- 它既具有代表性 (神经相关性) 和现象学 (主观感觉) 的维度.
- 了解熟悉对于开发全面的神经认知记忆模型至关重要.
研究的目的:
- 为了强调熟悉的复杂,双重性质:代表性和现象学.
- 检查记忆力和非记忆力流的来源,有助于熟悉.
- 确定未来研究的关键问题,以推进对熟悉的神经认知理解.
主要方法:
- 对熟悉性,神经相关性和流性的现有文献进行审查.
- 对熟悉的主观体验的记忆力和非记忆力影响的分析.
- 在熟悉机制的关系中检查像déjà-vu这样的现象.
主要成果:
- 熟悉的神经相关性因刺激的类型和复杂性而异,涉及腹视觉和中间时区域.
- 主观的熟悉性来自于流利的信号,它可以被错误地归因 (例如,déjà-vu).
- 关键机制包括全球匹配,流性归因和化,需要进一步调查它们的相互关系.
结论:
- 整合性神经认知模型的熟悉性需要澄清其计算,认知和神经支.
- 未来的研究必须区分熟悉的代表性和现象学维度.
- 适当的行为范式对于推进熟悉机制研究至关重要.
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