…bad-trial lists (badtrial_final, codingbad_idx, quanbad_idx, visobad_idx, partialtrial…
EEG recordings from 13 healthy participants performing an auditory oddball (P300) paradigm with target (1000 Hz) and non-target (500 Hz) tones at stimulus onset asynchronies between 60 and 600 ms. The study evaluated closed-loop Bayesian optimization and random search to find each individual's best stimulation speed for maximizing classification performance of a regularized LDA. The data comprise 31-channel EEG sampled at 1000 Hz, with an optimization part and a validation part.
…trials). \- Task details and event coding: The procedure consisted in presenting a…
MorseEEG-ATP is a multitask EEG dataset for studying auditory temporal processing and temporal pattern discrimination using Morse code stimuli. It contains synchronized 62-channel EEG and behavioral data from 32 healthy adults performing dot-count and first-last match discrimination tasks at three presentation rates (15, 30, and 40 characters per minute). The release includes raw and minimally preprocessed EEG, event annotations, behavioral measures, and analysis scripts in an EEG-BIDS structure.
…release does not document the coding, so values are given as logged…
This dataset contains behavioral events and intracranial EEG recordings from epilepsy patients performing a spatial navigation memory task. Participants encoded object locations during guided navigation and later recalled them by self-navigating. Open-loop electrical stimulation was delivered to hippocampal and entorhinal electrodes during encoding on alternating, difficulty-matched trials, with no stimulation at retrieval.
…1.3.0 This dataset is valuable for research on: - Predictive braking…
This dataset contains EEG recordings from phoneme discrimination tasks combined with transcranial magnetic stimulation (TMS) of the motor cortex. It merges two studies: a 2019 study of consonant-vowel and vowel-consonant pairs in 8 participants, and a 2021 study in 16 participants that added single phonemes, real words and pseudowords. It is intended to support research on speech decoding and the role of articulation and coarticulation in speech perception.
This dataset provides behavioral events and intracranial EEG recordings from a categorized delayed free recall task. Participants studied visually presented word lists built from 25 semantic categories, completed arithmetic distractor problems, and then freely recalled the words. Each 12-word list contains pairs of same-category words from three categories. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
EEG recordings from 12 healthy participants performing an offline 4-class code-modulated visual evoked potential (c-VEP) reactive BCI task. This subset contains the m-sequence condition at 40% amplitude depth, from a factorial study that compared burst and m-sequence codes at 100% and 40% modulation depth. The dataset supports evaluation of CNN-based decoding with minimal calibration data and of the visual comfort of reduced-intensity stimuli.