4 papers
A Bayesian dynamic stopping method for evoked response brain-computer interfacing
Sara Ahmadi, Peter Desain, Jordy Thielen
As brain-computer interfacing (BCI) systems transition from assistive technology to more diverse applications, their speed, reliability, and user experience become increasingly imp…
Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations
Pierre Guetschel, Sara Ahmadi, Michael Tangermann
In the field of brain-computer interfaces (BCIs), the potential for leveraging deep learning techniques for representing electroencephalogram (EEG) signals has gained substantial i…
Towards gaze-independent c-VEP BCI: A pilot study
S. Narayanan, S. Ahmadi, P. Desain +1
A limitation of brain-computer interface (BCI) spellers is that they require the user to be able to move the eyes to fixate on targets. This poses an issue for users who cannot vol…
Towards auditory attention decoding with noise-tagging: A pilot study
H. A. Scheppink, S. Ahmadi, P. Desain +2
Auditory attention decoding (AAD) aims to extract from brain activity the attended speaker amidst candidate speakers, offering promising applications for neuro-steered hearing devi…