cBCI Matrix Multimodal Dataset
…It also contains the output of the matrix display (matrix.png) for…
- Participants
- 21
- Channels
- 19 (10-20)
- Size
- 616 MB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
…It also contains the output of the matrix display (matrix.png) for…
…character matrix - **Stimulus modalities**: visual - **Primary modality**: visual - **Synchronicity**: synchronous - **Mode**: online…
…modified matrix speller with flexible highlighting - **Stimulus modalities**: visual - **Primary modality**: visual…
…the computation of the noise covariance matrix. Bad MEG channels were marked…
…Features were extracted as covariance matrices and classified using Riemannian Minimum Distance…
Raw 128-channel EEG data from 20 observers viewing object images in a rapid presentation paradigm, together with representational dissimilarity matrices. The dataset supports time-resolved neural decoding analyses that separate objects' contextual associations from their perceptual and conceptual attributes. One participant was excluded because of a technical recording error, leaving 19 usable participants.
…flashing white crosses in 6x6 matrix - **Stimulus modalities**: visual - **Primary modality**: visual…
…the computation of the noise covariance matrix. Bad MEG channels were marked…
…used to compute the noise covariance matrix for source reconstruction. Anatomical MRI…
Intracranial EEG (ECoG) recordings from 14 epilepsy patients implanted with clinical surface and depth electrodes, with two patients also carrying high-density research grids. Participants viewed grayscale pattern stimuli and color images of several categories. Stimuli varied in spatial and temporal properties, including pRF mapping bars, spatial and temporal patterns, and six-category localizers. Pre-implantation T1 MRI, FreeSurfer surface reconstructions and derivative broadband and preprocessed data are included.