EEG: Probabilistic Selection Task (PST) + PST with Cabergoline Challenge
…Data collected circa 2012-2013 in Laboratory for Neural Computation & Cognition at…
- Size
- 22.1 GB
- Updated
- Jun 24, 2026
51 results for "numerical cognition" · page 3 of 6 · ranked by relevance
…Data collected circa 2012-2013 in Laboratory for Neural Computation & Cognition at…
This dataset comprises EEG recordings from 10 healthy participants performing a P300 speller task using a 6×6 character matrix. The study compares two stimulus conditions—famous faces and inverting—to evaluate their effects on online P300 classification performance using language models. Data were collected across 2 sessions per subject with 3 runs per session, sampled at 256 Hz from 32 EEG channels.
This EEG dataset comprises recordings from 54 healthy participants performing a P300-based copy-spelling task using a 36-symbol row-column speller paradigm. The dataset includes 62 EEG channels and 4 EMG channels sampled at 1000 Hz, with offline training and online test phases designed to investigate BCI illiteracy. Data are provided in BIDS format with HED event annotations and represent a benchmark resource for evaluating brain-computer interface performance across different user populations.
…Data collected circa 2012-2013 in Laboratory for Neural Computation & Cognition at…
This dataset comprises raw EEG recordings from 15 participants performing three auditory oddball paradigms: Optimum-1 (optimized for mismatch negativity), learning-oddball (optimized for P3b), and local–global paradigm (for local and global effects). The data were collected in a single EEG session with three consecutive tasks presented as separate sessions, enabling within-individual comparison of event-related potential sensitivity across specialized oddball sequences.
…The study tests the **'Hot Cognition'** hypothesis by disentangling the temporal sequence…
A comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms—motor imagery, event-related potentials, and steady-state visually evoked potentials—across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that motor imagery exhibits the highest illiteracy rate (53.7%) compared to other paradigms, while all participants demonstrated proficiency with at least one BCI system.
…Data collected circa 2012-2013 in Laboratory for Neural Computation & Cognition at…
Imported from OpenNeuro ds002578
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004019-blue…