on003506
EEG: Reinforcement Learning in Parkinson's
EEG
…10.1016/j.brainres.2019.146541. PD came in twice separated by…
- Participants
- 56
- Channels
- 67 (10-10)
- Citations
- 2
- Size
- 16.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "brain language processing" · page 8 of 10 · ranked by relevance
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- on004196
Bimodal dataset on Inner speech
ANAT EEG FMAP FUNCThis dataset provides bimodal EEG and fMRI recordings acquired non-simultaneously during an inner-speech production task. Four healthy, right-handed participants silently produced eight words drawn from two semantic categories (social and numerical) across multiple trials. The dataset aims to support the development of speech prostheses and brain-computer interfaces by enabling multimodal fusion of high temporal (EEG) and high spatial (fMRI) resolution neuroimaging data.
- Participants
- 4
- Channels
- 64 (10-10)
- Citations
- 27
- Size
- 9.33 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005114
EEG: DPX Cog Ctl Task in Acute Mild TBI
EEG…programming language. Data collected 2016-2018 in the Center for Brain Recovery…
- Participants
- 91
- Channels
- 65 (10-10)
- Citations
- 25
- Size
- 56.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003626
Inner Speech
EEGA multiclass electroencephalography dataset of inner speech commands acquired from ten subjects using a 136-channel system. The dataset includes three experimental paradigms: inner speech, pronounced speech, and visualized conditions, with four directional commands (up, down, right, left) totaling 5,640 trials. This resource addresses the scarcity of publicly available EEG datasets for inner speech recognition and supports the development of brain-computer interface technologies and investigation of neural mechanisms underlying inner speech. Ethics approval: Comité Asesor de Ética y Seguridad en el Trabajo Experimental (CEySTE), CCT-CONICET, Santa Fe.
- Participants
- 10
- Citations
- 73
- Size
- 24.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003523
EEG: Visual Working Memory in Acute TBI
EEG…programming language. Data collected 2016-2018 in the Center for Brain Recovery…
- Participants
- 91
- Channels
- 65 (10-10)
- Size
- 37.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007353
HAD-MEEG
ANAT EEG MEGHAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset recorded from 30 participants viewing 21,600 video clips spanning 180 categories of human action, extending the previously released Human Action Dataset (HAD) fMRI resource. It was collected in the same participants and with the same stimuli as HAD-fMRI to enable combined spatiotemporal investigation of neural mechanisms underlying human action recognition. The dataset leverages the millisecond-level temporal resolution of M/EEG to complement the spatial precision of fMRI.
- Participants
- 32
- Channels
- 62 (10-10)
- Citations
- 5
- Size
- 221 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on003478
EEG: Depression rest
EEG…Task included in DMDX programming language, with instructions for eyes open & eyes…
- Participants
- 122
- Channels
- 66 (10-10)
- Citations
- 14
- Size
- 10.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007058
Silent Visual Reading EEG
EEGThis dataset contains raw and processed EEG recordings from participants performing silent visual reading of naturalistic narrative stories, investigating auditory representations of words during silent reading. Data include BrainVision-format EEG recordings organized according to BIDS, along with derivative processed EEG signals, metadata linking sessions to stories and runs, and word-level feature embeddings.
- Participants
- 10
- Channels
- 63 (10-10)
- Size
- 35.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004356
Subcortical responses to music and speech are alike while cortical responses diverge
EEG…Speak English as their primary language. 4. Self-reported normal or correctable…
- Participants
- 22
- Channels
- 34 (10-10)
- Citations
- 21
- Size
- 213 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005815
A Human EEG Dataset for Multisensory Perception and Mental Imagery
EEGThe YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
- Participants
- 20
- Channels
- 30
- Size
- 9.91 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026