…A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding ## Authors…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004075-blue…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007964-blue…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005089-blue…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006817-blue…
…motor imagery, cross-session, BCI, brain-computer interface, EEG, left hand, right…
…2 seconds, including a fixation cross and inter-stimulus intervals. ## Data Structure…
…Cross-user, cross-session generalization - **Transfer learning**: Generic models with user-specific…
…critical challenge of cross-subject and cross-dataset generalization in brain-computer…
The "Podcast" electrocorticography (ECoG) dataset captures intracranial neural activity from 9 participants (1,330 grid, depth, and strip electrodes) who listened to a 30-minute naturalistic story containing over 5,000 words. It includes raw recordings, a minimally preprocessed high-gamma version, the auditory stimuli, an aligned word-level transcript, and linguistic features ranging from acoustic properties to large language model embeddings. Tutorials replicating prior findings are provided to support research on natural language comprehension.