CastillosBurstVEP100
…Convolutional Neural Network (CNN), Pearson correlation Feature extraction: CNN spatial filtering (8x1…
- Participants
- 12
- Citations
- 20
- HED
- v8.4.0
- Size
- 148 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "Healthy Brain Network" · page 7 of 10 · ranked by relevance
…Convolutional Neural Network (CNN), Pearson correlation Feature extraction: CNN spatial filtering (8x1…
The Natural Object Dataset (NOD) integrates magnetoencephalography (MEG) and electroencephalography (EEG) data collected from subjects viewing naturalistic stimuli consisting of diverse object images from ImageNet. This multimodal neuroimaging resource complements previously collected fMRI data from the same subjects and stimuli, enabling investigation of neural mechanisms underlying object recognition with both high spatial and temporal resolution across three complementary imaging modalities.
…brain-computer interface Environment: laboratory Online feedback: False Tags ---- Pathology: Healthy Modality…
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.
…and the Quebec Pain Research Network (QPRN). For full details on the…
…of different areas of the brain, using biphasic pulses having a duration…
…Recording Setup --------------- - **Amplifier:** BrainVision actiCHamp (Brain Products GmbH) - **Electrodes:** 61-channel equidistant…
…A new auditory multi-class brain-computer interface paradigm using spatial hearing…