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100 results for "cortical function model" · page 10 of 10 · ranked by relevance

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on004022
Multimodal EEG and fNIRS Biosignal Acquisition during Motor Imagery Tasks in Patients with Orthopedic Impairment

EEG

Imported from OpenNeuro ds004022

Participants

7

Channels

18

Citations

2

Size

635 MB

Version

v1.0.0

Updated

Jul 10, 2026

by Seho Lee et al. OpenNeuro ds004022
on004356
Subcortical responses to music and speech are alike while cortical responses diverge

EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004356-blue…

Participants

22

Channels

34 (10-10)

Citations

21

Size

213 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Tong Shan et al. OpenNeuro ds004356
nm000340
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study J)

EEG

BigP3BCI Study J is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 character grid speller task. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 16-channel EEG with a g.USBamp amplifier and include target and non-target event classifications suitable for machine learning applications.

Participants

20

Channels

16 (10-10)

HED

v8.4.0

Size

1.49 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Boyla Mainsah et al.
on007463
Very-High-Density Diffuse Optical Tomography System Validation Dataset

ANAT FUNC NIRS

This dataset consists of 8 participants completing functional localizer and movie-viewing…

Participants

8

Size

237 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Morgan Fogarty et al. OpenNeuro ds007463
on006801
Resting-state EEG before and after different study methods

EEG

…with feedback, attentional modulation, and functional reorganization associated with active learning. It…

Participants

21

Channels

31

Citations

1

Size

1.32 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Paloma Victoria de Sales Alves et al. OpenNeuro ds006801
on005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis

MEG

NeuroMorph is a high-temporal resolution MEG dataset designed for morpheme-based linguistic analysis, comprising recordings from 24 subjects totaling over 17 hours of data. Data were collected using a KIT/Yokogawa MEG system to investigate visual language and cognitive processing, with a focus on morphological structure in written language comprehension.

Participants

24

Size

140 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Amilleah Rodriguez et al. OpenNeuro ds005241
nm000136
Guttmann-Flury et al. 2025 (P300) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms

EEG

A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a P300-based speller task across three sessions. The dataset comprises 2,520 trials of visual event-related potential data acquired at 1000 Hz using a 64-channel Neuroscan system (64 EEG channels + 1 EOG + 1 stimulus channel), designed to enable analysis of ocular activity patterns and their relationship to brain-computer interface performance across multiple BCI paradigms.

Participants

31

Channels

62 (10-10)

Citations

11

HED

v8.4.0

Size

40.7 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Eva Guttmann-Flury et al.
on003570
EEG: Improvisation and Musical Structures

EEG

…For (2) function deviants, the middle chord was replaced by a chord…

Participants

40

Channels

64 (10-10)

Citations

41

Size

36.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Andrew Goldman et al. OpenNeuro ds003570
on005931
Visuomotor_task

iEEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005931-blue…

Participants

8

Size

818 MB

Version

v1.0.0

Updated

Aug 19, 2026

by Riyo Ueda et al. OpenNeuro ds005931
nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications

EEG

This open-access EEG dataset comprises multi-session, multi-task recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface research and mental workload estimation in neuroergonomic applications.

Participants

15

Channels

61 (10-10)

Citations

64

HED

v8.4.0

Size

4.04 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Marcel F. Hinss et al.