…at 256 Hz with binary classification of target and non-target events…
…categories through single-trial EEG classification and representational similarity analysis. ## Dataset Summary…
…This resource supports brain-computer interface research and motor imagery classification studies…
…a processing log and/or abnormalities about the dataset. Some examples: - A…
…healthy adults with normal or corrected-to-normal vision. --- ## Experimental Design The…
…a processing log and/or abnormalities about the dataset. Some examples: - A…
…The dataset was validated using baseline signal analysis methods, with which classification…
…Filtered and normalized brain activity traces. Metadata: - Experimental conditions, cohort allocation, and…
…entropy-based methods and PCA/SVD; (5) Classification: SVM, LDA, KNN, Naive…
…All had normal or corrected-to-normal vision. `participants.tsv` also gives…