Mood Manipulation and PST, Experiment 2
…Task included in Matlab programming language. Data collected from 2019-2021 in…
- Participants
- 50
- Channels
- 66 (10-10)
- Citations
- 1
- Size
- 18.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "predictive language processing" · page 10 of 10 · ranked by relevance
…Task included in Matlab programming language. Data collected from 2019-2021 in…
…Task included in DMDX programming language. Data collected circa 2008-2010 in…
Imported from OpenNeuro ds003801
…Speak English as their primary language. Self-reported normal or correctable to…
This 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.
…Task included in Matlab programming language. Data collected circa 2012-2013 in…
…Task included in Matlab programming language, with instructions for eyes open & eyes…
This dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
…Task included in Matlab programming language. Data collected circa 2015 in Cognitive…
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.