数字认知的新本体学:整合进化,体现和数据信息学的方法
1Educational Psychology Program, The University of Alabama, Tuscaloosa, AL, United States.
Acta psychologica
|August 9, 2024
概括
这项研究探讨了大脑中的感觉运动过程如何支持数字认知. 它建议识别构建块感觉运动过程 (BBPs),以将感觉运动系统与数学能力联系起来.
科学领域:
- 认知神经科学 认知神经科学
- 数学神经科学的数学神经科学
背景情况:
- 数字认知研究传统上将数学能力与它们的生物学和进化基础分开.
- 最近的神经科学表明,认知技能依赖于动态的大脑网络,而不是孤立的模块.
- 嵌入式认知理论强调了以行动为导向的能力和感知运动系统在认知中的作用.
研究的目的:
- 为了弥合数字认知和感知运动系统的神经模型之间的差距.
- 识别支持数字技能的基本感觉运动过程 (BBP).
- 开发一种新的本体学,将感觉运动系统与数学认知连接起来.
主要方法:
- 使用先进的神经成像技术来识别BBP.
- 设计各种感觉运动和认知任务的实验.
- 采用数据驱动的信息学来绘制支持认知的感觉运动网络.
- 在进化和体现的框架内解释发现.
主要成果:
- BBP是与分布式大脑网络相关的感觉运动功能,支持各种认知能力.
- 新的经验见解可以导致数字认知的更新体现认知本体学.
- 数值大小处理及其传感运动起源是重点关注的关键领域.
结论:
- 了解BBP对于一个全面的数字认知模型至关重要.
- 一种体现的方法,整合传感运动功能,提供了对数学能力的更完整的理解.
- 未来的研究,包括fMRI研究,可以进一步阐明这些联系.
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