The repository archived the behavioural data associated with the EEG experiment and the MATLAB script for processing the EEG. The repository does not include the raw EEG data because of their size.We thank the UK Engineering and Physical Sciences Research Council (EPSRC) for supporting Gustav Markkula. The council has funded this project under contract number EP/S005056/1
Abstract – Technology using the brain signal, so-called electroencephalogram (EEG), either for contr...
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and ...
Purpose of the study: The human sense of movement and balance integrates vestibular information with...
These data are part of the data sample of the paper "EEG-based approach for predicting varied human ...
Participants decided on the direction of randomly moving dots. The events.mat file contains informat...
Behavioural data and code from the preprint "Behavioural variability and cortical electrophysiologic...
This dataset contains processed EEG and eyetracking recordings from an experiment in which twelve pa...
Abstract: The purpose of this document is to assess Electroencephalographic (EEG) signal frequency ...
This document describes the analysis of Electroenchaplogram (EEG) or brain signals using computation...
Electroencephalography (EEG) is a non-invasive technique used to record cortical neurons\u27 electri...
The EEG technologies have further developments in recent years. The use of EEG is not limited to tra...
This repository contains the behavioural data, preprocessed EEG data and electrode positional data a...
Raw EEG files (.CNT) from Mu Suppression experiment. These 65 files include the 61 participants reta...
The aim was to assess the suitability of EEG-based techniques to recording activity during a driving...
One approach to understanding processes that underlie skilled performing has been to study electrica...
Abstract – Technology using the brain signal, so-called electroencephalogram (EEG), either for contr...
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and ...
Purpose of the study: The human sense of movement and balance integrates vestibular information with...
These data are part of the data sample of the paper "EEG-based approach for predicting varied human ...
Participants decided on the direction of randomly moving dots. The events.mat file contains informat...
Behavioural data and code from the preprint "Behavioural variability and cortical electrophysiologic...
This dataset contains processed EEG and eyetracking recordings from an experiment in which twelve pa...
Abstract: The purpose of this document is to assess Electroencephalographic (EEG) signal frequency ...
This document describes the analysis of Electroenchaplogram (EEG) or brain signals using computation...
Electroencephalography (EEG) is a non-invasive technique used to record cortical neurons\u27 electri...
The EEG technologies have further developments in recent years. The use of EEG is not limited to tra...
This repository contains the behavioural data, preprocessed EEG data and electrode positional data a...
Raw EEG files (.CNT) from Mu Suppression experiment. These 65 files include the 61 participants reta...
The aim was to assess the suitability of EEG-based techniques to recording activity during a driving...
One approach to understanding processes that underlie skilled performing has been to study electrica...
Abstract – Technology using the brain signal, so-called electroencephalogram (EEG), either for contr...
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and ...
Purpose of the study: The human sense of movement and balance integrates vestibular information with...