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. (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.