BNCI 2015-004 Mental tasks dataset
…10-fold cross-validation - **Folds**: 10 - **Evaluation type**: within_session, cross_session…
- Participants
- 9
- Channels
- 30 (10-10)
- Citations
- 74
- HED
- v8.4.0
- Size
- 2.74 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
100 results for "cross-modality" · page 4 of 10 · ranked by relevance
…10-fold cross-validation - **Folds**: 10 - **Evaluation type**: within_session, cross_session…
This dataset contains raw EEG recordings from 15 participants who each completed three auditory oddball paradigms within a single experimental session: the Optimum-1 sequence for mismatch negativity (MMN), the learning-oddball sequence for P3b, and the local-global paradigm for assessing local and global auditory novelty effects. The dataset was collected to compare within-individual sensitivity of MMN and P3b responses across these different oddball paradigms. It includes original stimulation triggers, corrected event files, and source stimulation sequence definitions used in the analysis.
…3-fold chronological cross-validation (BCI simulation); 4-fold chronological cross-validation…
This dataset comprises consolidated cEEGrid recordings from two attended speaker paradigm studies involving 36 participants (15 from Jaeger et al. 2020 and 21 from Holtze et al. 2021). Participants performed a dichotic listening task with competing audiobooks while instructed to attend to either the left or right speaker. The pooled dataset includes recordings under omnidirectional and beamforming acoustic conditions, providing a resource for investigating neural correlates of selective auditory attention using high-density EEG.
…Covariance/Riemannian ## Cross-Validation - **Evaluation type**: cross_session ## Performance (Original Study) - **Classifier…
This dataset contains EEG recordings from 24 pairs of participants who performed a collaborative 4-way categorisation task based on rules they agreed upon together, along with pre- and post-test sessions using the same stimuli. The study investigates whether collaborative rule learning promotes alignment of neural information between interacting brains, contributing to research on interbrain synchrony and social cognition.
…fixation cross) - **Stimulus type**: letter cue - **Stimulus modalities**: visual - **Primary modality**: visual…
This dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
…visual, auditory - **Primary modality**: multisensory - **Synchronicity**: asynchronous - **Mode**: offline - **Instructions**: Subjects instructed…
This dataset comprises multi-subject, multimodal neuroimaging data (structural MRI, fMRI, MEG, and EEG) collected during a face processing task, in which participants viewed famous, unfamiliar, and scrambled faces presented under initial, immediate repeat, and delayed repeat conditions. It is a BIDS-formatted subset of the original Wakeman & Henson (2015) dataset, designed to support research on multimodal integration of brain imaging data and studies of face recognition and repetition effects.