…Bilingual sEEG Speech Dataset ============================================= Overview -------- Intracranial EEG (sEEG) recordings from 2 epilepsy…
BCCWJ-EEG contains electroencephalography recordings from 41 native Japanese speakers reading newspaper articles from the Balanced Corpus of Contemporary Written Japanese, presented word by word using rapid serial visual presentation. It is part of the BCCWJ-Brain collection, which also includes fMRI and MEG datasets acquired with the same stimuli in separate participant groups, enabling cross-modality comparisons of language processing. Preprocessed derivatives (filtered, ICA-cleaned, re-referenced, and evoked data) are provided.
…1) non-native speaker of Italian, 2) bilingual from birth, 3) diagnosed…
An open-access EEG database of imagined speech recorded from 15 healthy Spanish-speaking adults. Participants imagined 11 classes, comprising 5 Spanish vowels and 6 directional commands, while 6-channel EEG was recorded at 1024 Hz. Trials lasted 4 s with a 3 s imagery window, and the data were bandpass filtered (2-45 Hz). The dataset supports brain-computer interface and imagined speech classification research and is redistributed in BIDS format via the MOABB collection.
…the Department of Chinese and Bilingual Studies at the same university. Data…
A large EEG dataset of 60 sessions from 56 healthy Spanish-speaking participants, recorded with 64 channels during perception and silent production of 30 everyday Spanish sentences. It was collected to support subject-independent decoding of perceived sentences with deep neural networks, with the aim of enabling speech neuroprostheses that need no patient-specific training data.
SMN4Lang is a synchronized multimodal neuroimaging dataset for studying brain language processing. It contains fMRI and MEG recordings from the same 12 participants listening to about 6 hours of naturalistic Mandarin Chinese stories. It also includes structural T1/T2, diffusion MRI, resting-state fMRI, and linguistic annotations of the stimuli such as word frequencies, part-of-speech tags, syntactic trees, time-aligned characters and words, and word embeddings.