符号分数与离散的比连续的非符号比例推理具有更大的神经表示相似性
Roberto A Abreu-Mendoza1, Chinedu Nkwo2, Ravi D Mill3
1Department of Psychology, Rutgers University, Newark, NJ, USA; Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Neuropsychologia
|February 12, 2026
概括
理解分数依赖于掌握比例数量,即使具有误导性的整数信息. 神经模式显示,尽管存在干扰,大脑仍能访问大小代码,支持现有的关于非象征和象征分数技能的理论.
科学领域:
- 认知神经科学 认知神经科学
- 发展心理学 发展心理学
- 数学的认知能力数学认知能力
背景情况:
- 人类在整个发育过程中从视觉显示中提取相对的数量.
- 两个理论,共享大小和共享干扰,解释了非符号技能如何为分数理解做出贡献.
- 这些理论在连续或离散的比例显示是更基本的方面存在差异.
研究的目的:
- 用神经表示相似性 (NRS) 分析来测试分数理解的共享大小和共享干扰账户.
- 研究大脑如何处理连续,离散和符号形式的比例大小.
- 为了确定克服在分数任务中的整数干扰的神经基础.
主要方法:
- 19名年轻成年人比较了连续,离散和象征形式的比例.
- 单变量分析确定了神经距离在额头部,头部和部区域的影响.
- 兴趣区域 (ROI) 分析的重点是内硫 (IPS).
- 神经表示相似性 (NRS) 分析将大脑对不同比例格式的反应进行了比较.
主要成果:
- 在所有格式中观察到神经距离效应.
- 在连续比例下,内硫 (IPS) 显示了理性距离效应.
- 对于离散和符号分数,只有在整数干扰的情况下才会出现理性大小信号.
- 与分数大小相关的IPS活动更像是离散的,而不是连续表示,当整数信息误导时.
结论:
- 这些发现支持并完善了共享规模和共享干扰账户.
- 符号分数的熟练程度包括访问比例大小的代码,尽管整数干扰.
- 熟练的离散比例推理也需要克服误导性的整数信息.
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