C# program to superpose SSVEP and c-VEP flickers on top of other graphical interfaces

The Python Noise-Tagging Brain-Computer interface (PyntBCI) library is a Python toolbox for the noise-tagging brain-computer interfacing (BCI) project developed at the Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands

This repository contains Matlab code used to decode the code-modulated visual evoked potential (c-VEP) from brain activity as recorded with EEG.

Public repository for the brain-computer interface (BCI) speller based on code-modulated visual evoked potentials (c-VEP) for MEDUSA.

An overview of literature associated to code-modulated evoked potentials (c-EP) in any sensory domain such as visual (c-VEP), auditory (c-AEP), and somatosensory (c-SEP).

Classic circular shifting based c-VEP speller for MEDUSA that supports non-binary sequences

This repository contains all resources (e.g., slides) for the c-VEP workshop presented at the Graz BCI Conference in 2024.