EEG-based Cognitive Task Classification with ICA and Neural Networks

机译：基于ICA和神经网络的基于EEG的认知任务分类。

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Electroencephalography (EEG) has been used extensively for classifying cognitive tasks. Many investigators have demonstrated classification accuracies well over 90

机译：脑电图（EEG）已被广泛用于对认知任务进行分类。许多研究人员已经证明了分类精度超过90

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来源
《Engineering applications of bio-inspired artificial neural networks》|1999年|p.265-272|共8页
会议地点 Alicante(ES);Alicante(ES)
作者
David A.Peterson; Charles W.Anderson;
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原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
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4. EEG-based Cognitive Task Classification with ICA and Neural Networks [C] . David A.Peterson, Charles W.Anderson International work-conference on artificial and natural neural networks . 1999

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5. Anterior cingulate cortex, medial frontal negativity and preceding context: Assessing an EEG-based neural correlate of performance monitoring during a Stroop task. [D] . Sutherland, Matthew Thomas. 2007

机译：前扣带回皮层，内侧额叶阴性和前面的环境：在Stroop任务中评估基于EEG的性能监测的神经相关性。
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机译：基于EEG的情感分类，使用尖刺神经网络

EEG-based Cognitive Task Classification with ICA and Neural Networks

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