An EEG dataset recorded during affective music listening
…a combination of brain activity and acoustic featuresԬ Brain and Cognition, 101…
- Participants
- 31
- Channels
- 19 (10-20)
- Size
- 3.35 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "infant brain activity" · page 5 of 10 · ranked by relevance
…a combination of brain activity and acoustic featuresԬ Brain and Cognition, 101…
This dataset comprises EEG recordings from 54 healthy participants performing a P300-based brain-computer interface speller task, designed to investigate BCI illiteracy. The study includes 62 EEG channels and 4 EMG channels sampled at 1000 Hz, with participants completing offline training and online test phases using a 36-symbol row-column speller paradigm. The dataset achieved 96.7% accuracy with an 11.1% BCI illiteracy rate, providing a comprehensive resource for evaluating P300-based BCI performance and individual differences in BCI competence.
…We introduce the “Podcast” electrocorticography (ECoG) dataset for modeling neural activity supporting…
…only facilitating exploration of neural activity differences across pinyin articulations but also…
Imported from OpenNeuro ds007175
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003004-blue…
This dataset comprises 64-channel EEG recordings from 7 participants performing an auditory imagery task, in which they imagined sounds associated with animals and tools following visual stimulus cues. The dataset is intended to support research on semantic decoding of imagined auditory content and brain-computer interface applications.
…degradation in language decoding from brain activity in naturalistic reading. ## Dataset Status…
This dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007666-blue…