Abstract：
Numerical cognition is a field that investigates the sociocultural, developmental, cognitive, and biological aspects of mathematical abilities. Recent findings in cognitive neuroscience suggest that cognitive skills are facilitated by distributed, transient, and dynamic networks in the brain, rather than isolated functional modules. Further, research on the bodily and evolutionary bases of cognition reveals that our cognitive skills harness capacities originally evolved for action and that cognition is best understood in conjunction with perceptuomotor capacities. Despite these insights, neural models of numerical cognition struggle to capture the relation between mathematical skills and perceptuomotor systems. One front to addressing this issue is to identify building block sensorimotor processes (BBPs) in the brain that support numerical skills and develop a new ontology connecting the sensorimotor system with mathematical cognition. BBPs here are identified as sensorimotor functions, associated with distributed networks in the brain, and are consistently identified as supporting different cognitive abilities. BBPs can be identified with new approaches to neuroimaging; by examining an array of sensorimotor and cognitive tasks in experimental designs, employing data-driven informatics approaches to identify sensorimotor networks supporting cognitive processes, and interpreting the results considering the evolutionary and bodily foundations of mathematical abilities. New empirical insights on the BBPs can eventually lead to a revamped embodied cognitive ontology in numerical cognition. Among other mathematical skills, numerical magnitude processing and its sensorimotor origins are discussed to substantiate the arguments presented. Additionally, an fMRI study design is provided to illustrate the application of the arguments presented in empirical research.
摘要：
数字认知是一个研究社会文化的领域，发展,认知，和生物学方面的数学能力。认知神经科学的最新发现表明，认知技能是由分布式，瞬态,大脑中的动态网络，而不是孤立的功能模块。Further,对认知的身体和进化基础的研究表明，我们的认知技能利用能力最初是为行动而进化的，并且最好将认知与感知运动能力结合起来理解。尽管有这些见解,数字认知的神经模型努力捕捉数学技能和感知运动系统之间的关系。解决这个问题的一个方面是识别大脑中支持数字技能的积木感觉运动过程（BBP），并开发一种将感觉运动系统与数学认知联系起来的新本体。这里的BBP被确定为感觉运动功能，与大脑中的分布式网络相关联，并一致被认为支持不同的认知能力。BBP可以通过神经影像学的新方法来识别;通过检查实验设计中的一系列感觉运动和认知任务，采用数据驱动的信息学方法来识别支持认知过程的感觉运动网络，并考虑数学能力的进化和身体基础来解释结果。关于BBP的新经验见解最终可以导致数字认知中的具体化认知本体论。在其他数学技能中，讨论了数值幅度处理及其感觉运动的起源，以证实所提出的论点。此外,提供了功能磁共振成像研究设计，以说明实证研究中提出的论点的应用。
