on002761
memoryreplay
MEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002761-blue…
- Participants
- 25
- Size
- 204 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neural coding" · page 9 of 10 · ranked by relevance
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- nm000174
Imagined Speech EEG dataset comparing paradigm designs (Aguilera-Rodriguez et al. 2025)
EEGAn EEG dataset of imagined speech from 15 healthy participants comparing traditional cue-based and gamified (Pac-Man maze) paradigms for brain-computer interface applications. The dataset comprises 1,800 trials across four Spanish directional commands recorded at 500 Hz from 24 electrodes using the mBrainTrain Smarting system. This derivative dataset enables systematic evaluation of paradigm design effects on imagined speech decoding performance.
- Participants
- 15
- Channels
- 24 (10-10)
- HED
- v8.4.0
- Size
- 829 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on007640
Dataset of emotion recognition using validated video stimuli with large-scale behavioral survey and MEG recordings
BEH MEG…Comprehensive MEG neural recordings from 23 participants, who viewed the same 40…
- Participants
- 23
- Size
- 88.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000195
Mixture of LLP and EM for a visual matrix speller (ERP) dataset from
EEG- Participants
- 12
- Citations
- 26
- HED
- v8.4.0
- Size
- 4.80 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006033
Synchronous EEG and fMRI dataset on inner speech
ANAT EEG FUNCThis dataset comprises simultaneous EEG-fMRI recordings from 3 subjects across 2 sessions during inner speech tasks. Data were acquired using a 3T MRI scanner and 64-channel BrainProducts EEG system with EEG sampling at 5000 Hz and fMRI TR of 2s. The dataset includes preprocessed EEG with pulse artifact removal and is organized in BIDS format to facilitate multimodal neuroimaging analysis of inner speech mechanisms. This is a BIDS-converted version derived from OpenNeuro dataset ds006033.
- Participants
- 3
- Channels
- 64
- Size
- 14.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006902
Profound neuronal differences during Exercise-Induced Hypoalgesia between athletes and non-athletes revealed by functional near-infrared spectroscopy
NIRS…in athletes may elevate baseline neural activity to a level where additional…
- Participants
- 42
- Size
- 5.51 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007181
Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia
ANAT EEG FUNCImported from OpenNeuro ds007181
- Participants
- 66
- Channels
- 19 (other)
- Size
- 59.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004395
Penn Electrophysiology of Encoding and Retrieval Study (PEERS)
BEH EEGThe Penn Electrophysiology of Encoding and Retrieval Study (PEERS) is a large-scale investigation of the behavioral and electrophysiological correlates of memory encoding and retrieval. The dataset comprises EEG recordings from over 300 subjects across three experiments (ltpFR, ltpFR2, and VFFR), totaling more than 7,000 ninety-minute memory testing sessions. Data were acquired using either 129-channel Geodesic Sensor Net or 128-channel BioSemi systems, providing a comprehensive resource for studying neural mechanisms of human memory.
- Participants
- 364
- Channels
- 125 (egi-geodesic)
- Citations
- 5
- Size
- 8.71 TB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002336
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP1
ANAT EEG FUNCThis dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.
- Participants
- 10
- Size
- 18.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000259
Speier et al. 2017 — A comparison of stimulus types in online classification of the P300 speller using language models
EEGThis 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.
- Participants
- 10
- Channels
- 32 (10-10)
- Citations
- 28
- HED
- v8.4.0
- Size
- 288 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026