MAVIS
…varying selective attention and the processing of sensory stimuli with distinct features…
- Participants
- 24
- Channels
- 64 (10-10)
- Citations
- 82
- Size
- 23.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "neural signal processing" · page 8 of 10 · ranked by relevance
…varying selective attention and the processing of sensory stimuli with distinct features…
This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.
…Experimental sessions lasted approximately three minutes. ## EEG Acquisition EEG signals were acquired…
The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.
…False ## Signal Processing - **Classifiers**: template-matching, reconvolution, CCA - **Feature extraction**: encoding model…
…Baseline correction using first 100 ms. ## Signal Processing - **Classifiers**: RLDA, Regularized Linear…
This dataset comprises intracranial EEG (ECoG) recordings from 14 epilepsy patients implanted with subdural grid and depth electrodes, collected while they viewed grayscale and color visual stimuli varying in spatial and temporal properties. The recordings were designed to characterize temporal and spatial dynamics of neural responses in human visual cortex, including population receptive field mapping and category-selective responses. Pre-implantation T1-weighted MRI scans are also included for electrode localization. The dataset supports multiple published studies on visual cortical dynamics and adaptation.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005964-blue…