Dataset: The perils and pitfalls of block design for EEG classification experiments

Dataset: The perils and pitfalls of block design for EEG classification experiments

Dataset asscociated with a paper to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence"The perils and pitfalls of block design for EEG classification experiments"The paper has been accepted and is in production.We will upload the dataset when the paper is published.Th...

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Bibliographische Detailangaben
Hauptverfasser: Li, Ren, Johansen, Jared S., Ahmed, Hamad, Ilyevsky, Thomas V., Wilbur, Ronnie B., Bharadwaj, Hari M, Siskind, Jeffrey Mark
Format: Dataset
Sprache:eng
Schlagworte:
Artificial Intelligence
Brain
Computational Intelligence
Computer Vision
Digital signal processing
Discrete-time signal processing
EEG
Image Processing
Machine Learning
Neuroscience
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Beschreibung
Zusammenfassung:Dataset asscociated with a paper to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence"The perils and pitfalls of block design for EEG classification experiments"The paper has been accepted and is in production.We will upload the dataset when the paper is published.This is a placeholder so we can obtain a DOI to include in the paper.
DOI:10.21227/dz16-x184