Data-Driven NeuroTechnology lab
Data-Driven NeuroTechnology lab
People
Research projects
Publications
Resources
Teaching
Thesis, internships
Contact
Light
Dark
Automatic
Peter Desain
Professor, Principle Investigator
Donders Institute for Brain, Cognition and Behaviour
Latest
Rapid cortical auditory evoked potentials audiometry
The role of code-modulated evoked potentials in next-generation brain-computer interfacing
Bayesian dynamic stopping for c-VEP BCIs
A Bayesian dynamic stopping method for evoked response brain-computer interfacing
Towards auditory attention decoding with noise-tagging: A pilot study
Towards gaze-independent c-VEP BCI: A pilot study
Auditory and tactile code-modulated BCI
Gaze-independent c-VEP BCI
Performance prediction of c-VEP BCI
Stimulus characteristics of c-VEP BCI
A comparison of stimulus sequences for code-modulated visual evoked potential (c-VEP) based BCI
Looking for study participants
Noise-tagging
Brain--computer interfaces based on code-modulated visual evoked potentials (c-VEP): A literature review
From full calibration to zero training for a code-modulated visual evoked potentials for brain--computer interface
Re(con)volution: accurate response prediction for broad-band evoked potentials-based brain computer interfaces
Re(con)volution: accurate response prediction for BBVEP-based BCI
Broad-band visually evoked potentials: re(con)volution in brain-computer interfacing
Cite
×