Bayesian correlated component analysis for inference of joint EEG activation

Andreas Trier Poulsen, Simon Kamronn, L. Parra, L. K. Hansen
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引用次数: 2

Abstract

We propose a probabilistic generative multi-view model to test the representational universality of human information processing. The model is tested in simulated data and in a well-established benchmark EEG dataset.
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联合脑电激活的贝叶斯相关分量分析
我们提出了一个概率生成多视图模型来测试人类信息处理的表征普遍性。该模型在模拟数据和已建立的基准EEG数据集中进行了测试。
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