Bayesian common spatial patterns for multi-subject EEG classification

DOI10.1016/J.NEUNET.2014.05.012zbMath1368.92096OpenAlexW1977882209WikidataQ42665903 ScholiaQ42665903MaRDI QIDQ889283

Seungjin Choi, Hyohyeong Kang

Publication date: 6 November 2015

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2014.05.012

zbMATH Keywords

EEG classificationbrain-computer interfacecommon spatial patternsIndian buffet processesnonparametric Bayesian methods

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55)

Related Items (2)

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Uses Software

• EEGLAB

Cites Work

• Flexible latent variable models for multi-task learning
• Variational inference for Dirichlet process mixtures
• Unnamed Item

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