Data-Driven NeuroTechnology lab
Data-Driven NeuroTechnology lab
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Peter Desain
Professor, Principle Investigator
Donders Institute for Brain, Cognition and Behaviour
Latest
Bayesian dynamic stopping for c-VEP BCIs
Fast and robust objective EEG audiometry
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
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