从多方面分析ERP数据,了解人类计算相关信息处理机制

S. Motomura, A. Hara, Ning Zhong, Jing-long Wu
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引用次数: 1

摘要

在本文中,我们提出了一个多方位的数据挖掘过程,以系统地研究更完整的人类信息处理机制。作为一个例子,我们解释了如何设计具有视觉和听觉刺激的ERP心算任务实验,并描述了如何对获得的ERP数据进行多方面分析。此外,我们还给出了一些初步的结果来显示我们的方法的有效性,并讨论了未来的研究方向。所提出的方法试图改变认知科学家的观点,从单一类型的实验数据分析转向长期全局视野的整体观点
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-aspect ERP Data Analysis for Understanding Human Calculation Related Information Processing Mechanism
In the paper, we propose a multi-aspect data mining process for investigating a more whole human information process mechanism systematically. As an example to demonstrate the proposed mining process, we explain how to design the experiment of an ERP mental arithmetic task with visual and auditory stimuli, and describe how to do multiaspect analysis in the obtained ERP data, respectively. Furthermore, we give some preliminary results to show the usefulness of our methodology and to discuss the future research directions. The proposed methodology attempts to change the perspective of cognitive scientists from a single type of experimental data analysis towards a holistic view at a long-term, global field of vision
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