ERP paradigm of the Mobile BCI dataset
…Tags - **Pathology**: healthy - **Modality**: visual - **Type**: perception ## Documentation - **DOI**: 10.1038/s41597…
- Participants
- 24
- Citations
- 32
- HED
- v8.4.0
- Size
- 5.19 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "visual perception" · page 7 of 10 · ranked by relevance
…Tags - **Pathology**: healthy - **Modality**: visual - **Type**: perception ## Documentation - **DOI**: 10.1038/s41597…
This dataset comprises EEG recordings from participants performing go-nogo categorization and detection tasks across two recording sessions. Participants viewed briefly presented images (20 ms) and responded according to task-specific rules: lifting a finger for target stimuli (go response) or maintaining button press for non-targets (nogo response). The dataset includes two complementary tasks—animal categorization and image recognition—with systematic manipulation of stimulus presentation and response requirements, providing a rich resource for investigating event-related potentials and decision-making processes.
…feedback**: True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest…
…feedback**: True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest…
T16 is an EEG neuroimaging dataset containing electroencephalography recordings organized according to the Brain Imaging Data Structure (BIDS) standard version 1.8.0. The dataset includes hierarchical event descriptors (HED) version 8.1.0 for detailed annotation of experimental events and conditions. The dataset comprises 185 files totaling 8.2 GB of EEG data with standardized metadata and event annotations to support reproducible neuroscience research.
…feedback**: True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest…
This dataset comprises 14-channel EEG recordings from consumer-grade EMOTIV devices (EPOC X/EPOC+) collected during a food-image categorization task in which participants classified prepared-food images as meat or vegetarian. The dataset includes a resting-state baseline (eyes-open and eyes-closed) preceding the task, along with behavioral responses and reaction times for up to 74 trials per participant. Data are provided in minimally processed form with per-channel contact-quality metrics to support flexible artifact handling by end-users.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007406-blue…
…Tags - **Pathology**: healthy - **Modality**: visual - **Type**: perception ## Documentation - **DOI**: 10.1111/ejn…
…feedback**: True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest…