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A Hierarchical Bayesian Approach for Learning Sparse Spatio-Temporal Decomposition of Multichannel EEG
Multichannel electroencephalography (EEG) offers a non-invasive tool to explore spatio-temporal dynamics of brain activity. With EEG recordings consisting of multiple trials, traditional signal processing approaches that ignore inter-trial variability in the data may fail to accurately estimate the...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2011
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3128889/ https://ncbi.nlm.nih.gov/pubmed/21420499 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2011.03.032 |
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