Multisubject, multimodal face processing
Imported from OpenNeuro ds000117
- Citations
- 50
- Size
- 169 GB
- Updated
- May 18, 2026
100 results for "phonological processing" · page 5 of 10 · ranked by relevance
Imported from OpenNeuro ds000117
…up to the stage of processing that their data reached. Due to…
This dataset contains preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks with three short word conditions (out, in, up). Data were acquired at 256 Hz using 64 channels and analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications. The motor imagery paradigm employed auditory cueing, yielding 1,800 trials suitable for BCI research and benchmarking.
An open-access EEG dataset containing recordings from 15 healthy Spanish-speaking subjects performing imagined speech tasks. The dataset comprises 11 imagery classes (5 Spanish vowels and 6 directional commands) acquired using 6-channel EEG at 1024 Hz with preprocessed data (bandpass filtered 2-45 Hz). This resource supports brain-computer interface research and motor imagery classification studies.
…object representations visual and semantic processing of objects requires a broad, comprehensive…
…and Müller, H.J. (2010), Dimension-based attention modulates early visual processing…
# Emotion Processing and Regulation Task (Static Stimuli) — tDCS‑EEG Dataset This repository…
This dataset comprises EEG recordings from 6 healthy participants performing imagined speech tasks with two conditions (cooperate and independent word imagery). The study employed a motor imagery paradigm with auditory and visual cues, yielding 1,200 trials that were preprocessed into 3,600 overlapping epochs (1,800 per class) recorded at 256 Hz from 64 channels. Data were analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications, achieving mean classification accuracy of 66.2±4.8%.