设计基于神经科学理论的空间滤波器以改进与错误相关的潜在分类

IEEE International Workshop on Machine Learning for Signal Processing : [proceedings]. IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-01-01 DOI:10.1109/MLSP.2012.6349740

S. Rousseau, C. Jutten, M. Congedo

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引用次数: 2

摘要

在本文中，我们提出了一个实验，使错误相关电位在高认知负荷条件下发生。本文研究了误差相关电位的单次分类方法，并证明了基于误差相关电位的神经生理学理论设计的特定空间滤波器可以改善分类结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Designing spatial filters based on neuroscience theories to improve error-related potential classification

In this paper we present an experiment enabling the occurrence of the error-related potential in high cognitive load conditions. We study the single-trial classification of the errorrelated potential and show that classification results can be improved using specific spatial filters designed with the aid of neurophysiological theories on the error-related potential.

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IEEE International Workshop on Machine Learning for Signal Processing : [proceedings]. IEEE International Workshop on Machine Learning for Signal Processing

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