34 datasets found

Artificial LFP-like signals generated for testing PAC detection methods

EEG data set used for training and testing the proposed method, containing 480/468 examples per class in the training set and 66/95 examples per class in the testing set.

The dataset used for the experiments on the SWLDA algorithm

The dataset used for the experiments on the XDAWN algorithm

The dataset used for the experiments on the MDM algorithm

The dataset used for the P300-based game Brain Invaders

The dataset used in this paper for brain-computer interface tasks

EEG dataset for individual finger movement classification

EEG and fMRI data collected from a single healthy adult performing an auditory oddball task

EEG and fMRI data collected from a single healthy adult performing an auditory oddball task

The EEG dataset is used to evaluate the performance of the proposed method.

A dataset of EEG signals recorded while subjects viewed product images, used to train a model to modify product semantics based on brain activity.

Bold5000, a public fmri dataset while viewing 5000 visual images.

The dataset used for training and testing the deep learning model for sEMG signal classification.

The EEG database consists of SCP training of EEG recordings. The feature extraction step was performed using time-frequency-amplitude analysis by Hilbert-Huang Transform.

The dataset used in this paper for sustained attention level evaluation using EEG.

The dataset used for testing the MinD-Vis model, consisting of fMRI data and corresponding images.

The dataset used for testing the MinD-Vis model, consisting of fMRI data and corresponding images.

The dataset used for training and testing the MinD-Vis model, consisting of fMRI data and corresponding images.

The dataset used in the paper is EEG data from epileptic patients, which is used to detect early warning indicators for abrupt dynamical transitions in complex systems or...