Özdenizci et al. propose an adversarial inference approach to extend deep learning models to learn session-invariant person-discriminative representations.
Nezamfar et al. compare the efficacy of a BCI input signal, code-VEP via Electroencephalography, against eye gaze tracking.
Koçanaoğulları et al. propose an active querying procedure using mutual information maximization in recursive state estimation
Koçanaoğulları et al. introduce a novel sequential adaptive action value function for query selection using the multi-armed bandit framework.
Klein et al. present a case of an individual with presumed locked-in syndrome enrolled in an exploratory BCI study.
Kadioglu et al. propose a method for fusing different types of BCI input modalities (i.e., EEG and gaze).
Kadioglu et al. (2018) present a solution for robust PCA (RPCA) of fully observed data with outlying samples based on M-estimation theory.
Ahani et al. assess the ERP shape, classification accuracy, and typing performance of different BCI presentation paradigms on 10 healthy participants.
Gonzalez-Navarro et al. used data from 10 healthy participants to fit and compare two models: the proposed sequence-based EEG model and the trial-based feature-class-conditional distribution model.
McNaughton et al. describe strategies to build capacity and awareness in the AAC field to ensure appropriate AAC supports are provided.