on005574
The "Podcast" ECoG dataset
ANAT iEEG
…We introduce the “Podcast” electrocorticography (ECoG) dataset for modeling neural activity supporting…
- Participants
- 9
- Citations
- 4
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "cortical function model" · page 9 of 10 · ranked by relevance
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- on007119
iEEG_comprehensive_HFA_model_part3
iEEG[ — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEGA comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms: motor imagery (MI), event-related potential (ERP), and steady-state visually evoked potential (SSVEP) across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that while MI showed the highest illiteracy rate (53.7%), all participants could control at least one BCI paradigm. Data were acquired at 1000 Hz using 62 EEG channels with concurrent electromyography recordings.
- Participants
- 54
- Channels
- 62 (10-05)
- Citations
- 99
- HED
- v8.4.0
- Size
- 121 GB
- Version
- v1.0.5
- Updated
- Aug 18, 2026
- on004370
PRIOS
iEEG…53 years old where Cortico-Cortical Evoked Potentials (CCEPs) were recorded with…
- Participants
- 7
- Size
- 27.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004995
The Time-Course of Food Representation in the Human Brain
EEGThis dataset comprises raw EEG recordings collected to investigate the time-course of food representation in the human brain. Participants viewed food-related stimuli while EEG was recorded, enabling analysis of temporal neural dynamics underlying food perception and categorization. The dataset supports research on visual object and food representation using time-resolved decoding approaches.
- Participants
- 20
- Citations
- 14
- Size
- 27.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004356
Subcortical responses to music and speech are alike while cortical responses diverge
EEG[
- Citations
- 21
- Size
- 213 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007640
Dataset of emotion recognition using validated video stimuli with large-scale behavioral survey and MEG recordings
BEH MEGThis dataset investigates brain signal-based emotion recognition through magnetoencephalography (MEG) recordings collected while participants viewed validated emotional video stimuli. It comprises three components: a large-scale online behavioral survey of 500 participants rating 40 video clips, head digitization data for co-registration, and MEG neural recordings from 23 participants viewing the same stimuli. Emotional states were assessed using Self-Assessment Manikin ratings, discrete emotion categories (PrEmo), and temporal highlight annotations, providing multi-faceted ground truth for affective neuroscience research.
- Participants
- 23
- Size
- 88.8 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000134
Alljoined-1.6M
EEG- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000106
FRL Handwriting: Handwriting Decoding from Surface Electromyography
EMG…Median improvement from ~35% (practice) to ~25% (evaluation) **Personalized Model** (20 min…
- Participants
- 100
- Size
- 45.3 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- on004022
Multimodal EEG and fNIRS Biosignal Acquisition during Motor Imagery Tasks in Patients with Orthopedic Impairment
EEGImported from OpenNeuro ds004022
- Participants
- 7
- Channels
- 18
- Citations
- 2
- Size
- 635 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026