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在海马地图中整合欧几里德和路径距离
Loes Ottink1, Naomi de Haas2, Christian F Doeller2,3,4
1Donders Institute, Radboud University, Nijmegen, The Netherlands. loes.ottink@gmail.com.
Scientific reports
|February 27, 2025
概括
海马集成了欧几里德和路径距离,形成灵活的认知地图. 神经模式适应环境变化,显示海马.
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
- 空间导航 空间导航
背景情况:
- 海马对于创建认知地图至关重要,代表空间信息,如地标距离.
- 以前的研究表明海马体对距离的编码,但欧几里德和路径距离之间的区别仍然不清楚.
研究的目的:
- 研究人类海马如何区分和表示欧几里德和路径距离.
- 为了检查海马体认知图的灵活性,以应对环境修改.
主要方法:
- 参与者从事虚拟环境中的对象定位任务.
- 使用了功能磁共振成像 (fMRI) 与表示相似性分析 (RSA) 相结合.
- 通过使用环境中的路障,动态改变了路径距离.
主要成果:
- 海马神经模式的相似性与物体位置之间的欧几里德距离相关.
- 海马似乎在它的空间表示中整合了欧几里德和路径距离.
- 海马的模式相似性适应了改变的路径距离,特别是在被认定为路线学习者的人群中.
结论:
- 海马可以构建整合性和适应性的认知地图,这对于空间导航至关重要.
- 海马体对空间的表现是灵活的,并根据环境背景和学习策略动态更新.
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