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.
McNaughton et al. describe strategies to build capacity and awareness in the AAC field to ensure appropriate AAC supports are provided.
Light et al. review the state of the science related to AAC technologies that are developmentally appropriate and responsive to the needs of children with CCN and their partners.
Fager et al. discuss the state of the science on emerging alternative access technologies for individuals with severe motor impairments and CCN.
Light et al. review the state of the science on how various AAC display variables impact the visual attention and performance of children with developmental disabilities and adults with acquired conditions.
Light et al. discuss key advances in the AAC field, the remaining challenges that must be addressed, and key priorities for the future.