The integration of artificial intelligence (AI) into medical disciplines is rapidly transforming
healthcare delivery, with audiology being no exception. By synthesizing the existing …

Abstract Machine-learning (ML) decoding methods have become a valuable tool for
analyzing information represented in electroencephalogram (EEG) data. However, a …

Abstract The Visual World Paradigm (VWP) is a powerful experimental paradigm for
language research. Listeners respond to speech in a “visual world” containing potential …

For a linking hypothesis in the visual world paradigm to clearly accommodate existing
findings and make unambiguous predictions, it needs to be computationally implemented in …

Spoken language development after pediatric cochlear implantation requires rapid and
efficient processing of novel, degraded auditory signals and linguistic information. These …

Abstract Machine learning techniques have proven to be a useful tool in cognitive
neuroscience. However, their implementation in scalp‐recorded electroencephalography …

Introduction Sound symbolism is the phenomenon of sounds having non-arbitrary meaning,
and it has been demonstrated that pseudowords with sound symbolic elements have similar …

Sleep supports memory consolidation via the reactivation of newly formed memory traces.
One way to investigate memory reactivation in sleep is by exposing the slee** brain to …

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease that affects the nerve
cells in the brain and spinal cord. This condition leads to the loss of motor skills and, in many …

Neurological disorders affecting speech production adversely impact quality of life for over 7
million individuals in the US. Traditional speech interfaces like eye-tracking devices and …