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神经模式相似性的时间不对称性预测识别记忆决策

Zhifang Ye¹, Yufei Zhao², Emily J Allen³

¹Department of Psychology, University of Oregon, Eugene, OR, USA. zhifangy@uoregon.edu.

Communications biology

|July 31, 2025

概括

大脑在神经相似性中使用时间不对称性来对比过去和未来的事件,以做出识别记忆决策. 这种过程在最近的记忆中最强烈,当真正的记忆是弱的.

科学领域:

认知神经科学认知神经科学
神经成像是一种神经成像.

背景情况:

对刺激的熟悉性可能源于最近的遭遇,与最近的经历相似,或典型的经历.
了解大脑如何处理这些相似性来源来做出记忆决策至关重要但复杂.

研究的目的:

研究大脑如何计算不同时间窗口 (过去和未来) 的神经相似性,以告知识别记忆决策.
为了确定评估记忆判断的过去经验的神经相关性.

主要方法:

功能磁共振成像 (fMRI) 用于测量大脑活动.
在当前刺激和过去/未来事件之间计算的神经相似性,跨越各种时间尺度 (秒到天).
分析了神经相似性,时间不对称性和识别记忆性能之间的关系.

主要成果:

识别记忆决策是由神经相似性的时间不对称性 (过去与未来事件相似性的差异) 预测的.
这种效应在侧面皮和皮皮层中观察到.
时间不对称的预测能力在最近的过去事件 (分钟) 和当真实记忆准确性较低时是最强的.

结论:

大脑通过将神经相似性与过去和未来的事件进行比较来动态评估过去的经验.
神经相似性的时间不对称是识别记忆的关键机制,特别是在记忆证据薄弱的条件下.

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