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100 results for "Neural decoding" · page 8 of 10 · ranked by relevance

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nm000142
Ear-EEG motor execution dataset from Wu et al 2020

EEG

This dataset comprises ear-EEG recordings from six healthy participants performing motor execution tasks (fist clenching) with simultaneous scalp and ear-based EEG acquisition. The study includes 1,114 trials of left and right hand motor imagery cued by visual and auditory stimuli, sampled at 1000 Hz across 122 scalp channels. The dataset serves as a benchmark for motor task classification and brain-computer interface applications using in-ear sensing technology.

Participants

6

Channels

122 (10-05)

Citations

12

HED

v8.4.0

Size

18.4 GB

Version

v1.0.2

Updated

Aug 18, 2026

by Xiaoli Wu et al.
nm000106
FRL Handwriting: Handwriting Decoding from Surface Electromyography

EMG

…Computational Neuroscience) INC (Institute for Neural Computation) University of California San Diego…

Participants

100

Size

45.3 GB

Version

v2.0.0

Updated

Jul 10, 2026

by Patrick Kaifosh et al.
on004745
8-Channel SSVEP EEG Dataset with Artifact Trials

EEG

Imported from OpenNeuro ds004745

Participants

6

Channels

8 (other)

Citations

27

Size

242 MB

Version

v1.0.0

Updated

Jul 10, 2026

by Velu Prabhakar Kumaravel et al. OpenNeuro ds004745
on007473
High-Density Diffuse Optical Tomography Audiovisual Movie Viewing Dataset

NIRS

…Culver, "Multisensory naturalistic decoding with high-density diffuse optical tomography," Neurophoton. 12…

Participants

5

Size

36.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Morgan Fogarty et al. OpenNeuro ds007473
on002338
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP2

ANAT EEG FUNC

This dataset comprises simultaneous 64-channel EEG and 3T fMRI recordings from 16 subjects performing motor imagery and neurofeedback tasks. Participants were randomly assigned to receive either mono-dimensional or bi-dimensional neurofeedback displays during five experimental runs with alternating rest and task blocks. The dataset includes raw EEG data in Brain Vision format, preprocessed EEG data, BOLD fMRI acquisitions, computed neurofeedback scores from both modalities (EEG and fMRI), and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.

Participants

17

Size

25.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Giulia Lioi et al. OpenNeuro ds002338
nm000342
CastillosCVEP40

EEG

…CNN (Convolutional Neural Network) Feature extraction: sliding windows, bitwise decoding Cross-Validation…

Participants

12

Channels

32 (10-10)

Citations

22

HED

v8.4.0

Size

340 MB

Version

v1.0.2

Updated

Aug 18, 2026

by Kalou Cabrera Castillos et al.
nm000268
Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification

EEG

This open-access hybrid brain-computer interface dataset combines simultaneous EEG and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with preprocessed data at 200 Hz sampling rate. The dataset includes comprehensive preprocessing (bandpass filtering, ICA-based artifact rejection, common average referencing) and serves as a benchmark for validating hybrid BCI approaches that integrate multimodal neuroimaging signals.

Participants

29

Channels

30 (10-05)

Citations

94

HED

v8.4.0

Size

6.62 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Jaeyoung Shin et al.
on005558
Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)

BEH iEEG

…subsequently recalled based on the neural features during encoding, using data from…

Participants

9

Size

12.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Haydn G. Herrema et al. OpenNeuro ds005558
on004993
WIRED ICM Sample Dataset - Workshop on Intracranial Recordings in Humans, Epilepsy, DBS

ANAT iEEG

This dataset comprises intracranial EEG (iEEG) recordings collected by the Hamilton Lab at the University of Texas at Austin, compiled as a teaching resource for the WIRED ICM course in Paris, 2024. It includes evoked responses to naturalistic auditory stimuli, such as movie trailers and TIMIT speech corpus sentences, alongside illustrative examples of seizure activity and vagus nerve stimulator (VNS) artifact. The dataset is intended to demonstrate typical and atypical intracranial recording phenomena in patients with epilepsy.

Participants

3

Size

348 MB

Version

v1.0.0

Updated

Aug 19, 2026

by Liberty S. Hamilton et al. OpenNeuro ds004993
nm000346
CastillosCVEP100

EEG

…Convolutional Neural Network (CNN) Feature extraction: Sliding windows (250ms, 2ms stride), Standard…

Participants

12

Channels

32 (10-10)

Citations

21

HED

v8.4.0

Size

352 MB

Version

v1.0.2

Updated

Aug 18, 2026

by Kalou Cabrera Castillos et al.