…The classifier ouput for each presented item on the first 4 lists…
A BIDS example dataset demonstrating annotation of intracranial EEG (iEEG) recordings with the HED schema library for SCORE (Standardized Computer-based Organized Reporting of EEG). It contains iEEG data from one subject recorded during clinical photic stimulation at Mayo Clinic. Events are annotated through an events.tsv column whose levels are defined as HED tags in the events.json sidecar, yielding machine-readable annotations validated with the BIDS and HED validators.
…If the classifier output is below the median classifier output from the…
THINGS-EEG2 is a large EEG dataset from 10 participants who viewed 16,540 training images and 200 repeatedly presented test images from the THINGS database. Images were shown in rapid serial visual presentation at 5 Hz while 63-channel EEG was recorded at 1000 Hz across four sessions per subject. The dataset supports modeling of human visual object recognition and includes resting-state recordings, the authors' preprocessed epochs, and stimulus images.
…In read-only sessions, there is no classifier-based timing manipulation and…
A BIDS conversion of a multicenter intracranial EEG (iEEG) dataset of 3-second single-channel clips for classifying graphoelements (physiological and pathological activity) and artifactual signals. Clips were recorded from stereo-EEG contacts at 5000 Hz and concatenated into runs per subject and contact. Events preserve the original labels, segment IDs, anatomy, reviewer IDs, seizure onset zone flags, and electrode types.
…91.0% - **Binary Classifier Accuracy Synth Pop**: 69.25 - **Binary Classifier Accuracy…
…visual (game interface with real-time adaptive Riemannian RMDM classifier) - **Stimulus type…
…A decoding classifier was trained on the data from the game session…
…Real-time adaptive classifier used during experiment, performance variable per subject ## BCI…