…True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest public…
EEG recordings from 13 healthy participants performing a copy-spelling task with a visual 6x7 matrix ERP speller. The speller was designed for learning from label proportions (LLP), an unsupervised, calibrationless classification approach for ERP-based brain-computer interfaces. Two stimulus sequences with different target/non-target ratios allowed LLP to reconstruct mean target and non-target responses without labeled data. In the original online study, 84.5% of characters were spelled correctly on average without prior calibration.
MEG dataset from a logical reasoning study collected by the Cognitive and Computational Neuroscience Laboratory (UPM - UCM). The dataset is organized in BIDS format and mirrored on NEMAR from the OpenNeuro deposit ds003483.
…True Tags ---- Modality: visual Type: perception Documentation ------------- Description: BigP3BCI: the largest public…
…True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest public…
NOD-EEG is an electroencephalography dataset of human responses to naturalistic ImageNet object images. It extends the Natural Object Dataset-fMRI (NOD-fMRI) by recording EEG, and MEG in a companion dataset, from the same subjects viewing the same stimuli. Together the three modalities support study of object recognition with both high spatial and high temporal resolution. The dataset includes raw BIDS data, preprocessed continuous data, epoched data, and detailed trial-level metadata.
…True Tags ---- Modality: visual Type: perception Documentation ------------- Description: BigP3BCI: the largest public…
EEG dataset investigating the sense of agency over movements produced by electrical muscle stimulation (electrically-actuated movements). It examines the illusion of agency when involuntary, externally actuated movements are experienced, and provides raw EEG recordings organized in BIDS format.
…True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest public…
EEG dataset investigating whether images of stylized (cartoon-like) faces with exaggerated visual features improve event-related potential (ERP) correlates of emotion relative to ordinary human faces. The stylized faces elicit an enhanced N170 component associated with facial recognition encoding. The findings suggest that consistent stimulus transformations could improve affect detection from EEG in affective brain-computer interface design.