…False ## Signal Processing - **Classifiers**: LDA, SVM, Random Forest, kNN, Naive Bayes, CCA…
EEG recordings from six healthy participants performing imagined speech of long words, comprising two word classes (cooperate and independent), with 64 channels recorded at 256 Hz. Trials were cued by auditory beeps and visual cues, and the data were analyzed with Riemannian manifold covariance features and relevance vector machines for brain-computer interface classification. The dataset is re-hosted in BIDS format from the MOABB benchmark collection.
…for data validation and matlab file for pre-processing the raw data.
This dataset provides simultaneous EEG and fNIRS recordings from 12 participants performing a silent naming task and three sensory-based imagery tasks (visual, auditory, tactile) on objects from the semantic categories of animals and tools. It supports research on semantic decoding and brain-computer interfacing. Stimulus images and example Python scripts for loading the data with MNE and MNE-BIDS are included.
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.
Raw 128-channel EEG data from 20 observers viewing object images in a rapid presentation paradigm, together with representational dissimilarity matrices. The dataset supports time-resolved neural decoding analyses that separate objects' contextual associations from their perceptual and conceptual attributes. One participant was excluded because of a technical recording error, leaving 19 usable participants.
…10.82901/nemar.on006861) # Emotion Processing and Regulation Task (Static Stimuli) — tDCS…
Raw EEG recordings from 15 participants who each completed three auditory oddball sequences: the Optimum-1 paradigm for mismatch negativity (MMN), a learning-oddball paradigm for P3b, and the local–global paradigm for local and global effects. The dataset supports comparison of within-individual sensitivity of MMN and P3b effects across specialized oddball sequences and the local–global paradigm. Corrected event files, stimulation sequence definitions and stimulus presentation code are included.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004347-blue…
Intracranial EEG and behavioral event data from a paired associates learning task in which participants studied pairs of visually presented words, solved arithmetic distractor problems, and then performed cued recall. Data were collected from clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Recordings include monopolar and bipolar iEEG with subject-specific electrode montages, MNI/Talairach coordinates, and brain region annotations.