在认知发育过程中过程自动化的神经证据:对非常小的加法问题的变化进行的内部反应,随着年龄的增长而增加问题大小
Andrea Díaz-Barriga Yáñez1, Léa Longo1, Hanna Chesnokova1
1Centre de Recherche en Neurosciences de Lyon (CRNL), INSERM U1028 - CNRS UMR5292, Université de Lyon, France.
Developmental cognitive neuroscience
|October 8, 2023
概括
认知发展可能涉及到自动化计数策略,而不是取代它们. 随着孩子的年龄增长,神经活动在特定的大脑区域增加,以解决简单的算术问题,这表明程序知识变得更加自动化.
科学领域:
- 神经科学是一个神经科学.
- 认知发展 认知发展
- 认知心理学 认知心理学
背景情况:
- 认知发展理论经常建议从算法策略转向记忆检索.
- 算法程序,比如计数,可能会随着实践而变得自动化.
- 心理增加中的问题大小效应是认知发展的关键行为标志物.
研究的目的:
- 为了研究底层的神经机制与年龄相关的减小的问题大小效应在心理加.
- 为了测试算法过程在认知发展过程中变得自动化而不是被替代的假设.
- 探索与心理算术相关的大脑活动的发育变化.
主要方法:
- 一个大型的横截面功能磁共振成像 (fMRI) 研究.
- 8岁至成年期的参与者 (n=128) 进行了心理加法任务.
- 测量神经活动,同时评估问题大小效应及其与年龄的关系.
主要成果:
- 与年龄相关的问题大小效应的减少与腹膜内,基底和前额叶皮层的活性增加相关.
- 这种发育神经模式是特定于小操作数 (≤4) 的问题.
- 腹膜内突显示与年龄相关的活动增加,甚至在使用计数的年幼儿童中也支持问题大小效应.
结论:
- 非常小的算术问题可能依赖于计数程序的自动化,而不是转向检索.
- 过程性知识的神经自动化是认知发展的一个关键方面.
- 这些发现挑战了在认知发展中替代战略的传统观点,支持了一种程序自动化模型.
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