NOD-EEG
…nemar.on005811) # Summary The human brain can rapidly recognize meaningful objects from…
- Participants
- 19
- Channels
- 62 (10-10)
- Citations
- 7
- Size
- 24.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "brain language processing" · page 4 of 10 · ranked by relevance
…nemar.on005811) # Summary The human brain can rapidly recognize meaningful objects from…
…Whole-Brain Millisecond-Scale Effective Connectivity Atlases of Speech
…MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data…
This dataset comprises 128-channel EEG recordings collected during a speech production paradigm designed to investigate neural correlates of overt, minimally overt, and covert speech. Participants produced one of five color words under each speech condition, with additional peripheral recordings including EOG, EMG, microphone, and display markers to support speech decoding analyses. The dataset includes both calibration sessions for decoder training and online sessions for real-time decoding evaluation.
This dataset comprises 64-channel EEG recordings from 7 participants performing an auditory imagery task, in which they imagined sounds associated with animals and tools following visual stimulus cues. The dataset is intended to support research on semantic decoding of imagined auditory content and brain-computer interface applications.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005007-blue…
This dataset comprises high-density EEG recordings from 30 healthy, right-handed, native Chinese-speaking adults performing imagined and executed vocalization and writing tasks involving four Chinese strokes and four English letters. The factorial design crossed task mode, action, script and token identity, yielding 32 event-coded conditions across 15,360 task events. The dataset supports research into motor imagery, speech and handwriting-related neural communication signals.
…Whole-Brain Millisecond-Scale Effective Connectivity Atlases of Speech
…This makes the task great for investigating reward processing & reward prediction error…