EEG: Continuous gameplay of an 8-bit style video game
…Tasks included in Java programming language. Its pretty fun... Each task sends…
- Participants
- 17
- Channels
- 65 (10-10)
- Size
- 6.47 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "brain language processing" · page 8 of 10 · ranked by relevance
…Tasks included in Java programming language. Its pretty fun... Each task sends…
HAD-MEEG is a multimodal neuroimaging dataset combining magnetoencephalography (MEG) and electroencephalography (EEG) recordings from 30 participants viewing 21,600 video clips across 180 human action categories. Designed to complement the previously released HAD-fMRI dataset, this resource leverages the millisecond-level temporal resolution of M/EEG to capture rapid neural dynamics underlying action recognition and social cognition, enabling integrated spatiotemporal analysis of brain responses to visual action stimuli.
…programming language. Data collected 2016-2018 in the Center for Brain Recovery…
This dataset contains raw and processed EEG recordings from participants engaged in silent visual reading of word stimuli presented in naturalistic narrative contexts. The study investigates auditory representations of words during reading by recording neural activity while participants view unique and repeated story narratives. The dataset includes BrainVision format EEG files, event annotations with stimulus triggers, preprocessed signals organized by channel, and corresponding feature embeddings for word-level analysis.
…Task included in Matlab programming language. Data collected circa 2012-2013 in…
The 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.
…10.1016/j.brainres.2019.146541. PD came in twice separated by…
MEG-SCANS is a comprehensive magnetoencephalography dataset comprising raw and MaxFiltered recordings from 24 German-speaking participants engaged in auditory experiments. The dataset includes approximately one hour of stimuli per participant consisting of audiobooks, sentences from the Oldenburger Matrix Sentence Test at varying intelligibility levels for speech reception threshold assessment, and chirp stimuli for signal quality evaluation. Each participant's data includes raw and processed MEG recordings, empty-room recordings, structural MRI, behavioral audiograms, and corresponding audio stimulus materials, organized according to BIDS standards to facilitate large-scale encoding/decoding analyses of neural responses to speech.
…programming language. Data collected 2016-2018 in the Center for Brain Recovery…
…Task included in Matlab programming language. Data collected circa 2012-2013 in…