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Fosca Al Roumi¹, Samuel Planton¹, Liping Wang²

¹Cognitive Neuroimaging Unit, Université Paris-Saclay, INSERM, CEA, CNRS, NeuroSpin center, Gif/Yvette, France.

|November 1, 2023

概括

人类记忆使用递归循环压缩正规序列,类似于心理程序. 特定区域的大脑活动随着序列复杂度的增加而增加,支持这种思维语言假设.

科学领域:

认知神经科学认知神经科学
记忆的神经科学记忆的神经科学
计算语言学计算语言学

背景情况:

思想语言假设认为,正规序列通过递归循环在记忆中被压缩,就像一个心理预测程序一样运行.
对于认知科学来说,了解底层序列记忆和预测的神经机制至关重要.

研究的目的:

通过检查人类大脑如何处理和预测不同复杂性的正规序列来测试思维语言假设.
识别参与编码和预测结构序列的大脑区域,以及它们与数学处理的关系.

主要方法:

功能磁共振成像 (fMRI) 和磁脑成像 (MEG) 用于记录大脑活动.
参与者听取了两个声音的16项序列,其中具有越来越复杂的等级结构.
引入了偏差声音,以探讨参与者的知识和对序列的预测能力.

主要成果:

大脑活动和任务难度与序列结构的复杂性相关,根据最小描述长度来定义.
神经活动随着学习序列的复杂性而增加,而对于偏差声音而减少,支持预测编码.
fMRI和MEG数据显示,随着结构复杂性的增加,序列预测的准确性下降,延迟时间增加.

结论:

这些发现支持思维语言假设,表明大脑使用递归结构编码正规序列.
双边上部,前中心,前部内皮层和小脑皮层参与处理和预测复杂的序列.
这些大脑区域与参与数学计算的区域有显著的重叠,这表明结构化序列处理的共同神经基础.

关键词:

审计处理审计处理压缩压缩是指压缩的时间.人类人类人类人类人类人类人类思想的语言是思想的语言.神经科学神经科学这是一个序列的序列.语法语法语法语法语法语法工作记忆工作记忆

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