Dataset: The perils and pitfalls of block design for EEG classification experiments
Dataset asscociated with a paper in IEEE Transactions on Pattern Analysis and Machine Intelligence"The perils and pitfalls of block design for EEG classification experiments"DOI: 10.1109/TPAMI.2020.2973153 If you use this data, please cite the above paper.
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| creator | Li, Ren Johansen, Jared S. Ahmed, Hamad Ilyevsky, Thomas V. Wilbur, Ronnie B. Bharadwaj, Hari M Siskind, Jeffrey Mark |
| description | Dataset asscociated with a paper in IEEE Transactions on Pattern Analysis and Machine Intelligence"The perils and pitfalls of block design for EEG classification experiments"DOI: 10.1109/TPAMI.2020.2973153 If you use this data, please cite the above paper. |
| doi_str_mv | 10.21227/416j-3r62 |
| format | Dataset |
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| fulltext | fulltext_linktorsrc |
| identifier | DOI: 10.21227/416j-3r62 |
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| language | eng |
| recordid | cdi_datacite_primary_10_21227_416j_3r62 |
| source | DataCite |
| subjects | Artificial Intelligence Brain Computational Intelligence Computer Vision Digital signal processing Discrete-time signal processing EEG Image Processing Machine Learning Neuroscience |
| title | Dataset: The perils and pitfalls of block design for EEG classification experiments |
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