The human brain exhibits the remarkable ability to categorize speech sounds into distinct,
meaningful percepts, even in challenging tasks like learning non-native speech categories …

Despite the multidimensional and temporally fleeting nature of auditory signals we quickly
learn to assign novel sounds to behaviorally relevant categories. The neural systems …

Electroencephalography (EEG) has been widely adopted by the developmental cognitive
neuroscience community, but the application of machine learning (ML) in this domain lags …

Human language learning differs significantly across individuals in the process and ultimate
attainment. Although decades of research exploring the neural substrates of language …

Functional magnetic resonance imaging (fMRI) studies have suggested that there is a
functional reorganization of brain areas in patients with sensorineural hearing loss (SNHL) …

It is essential to understand the complex structure of the human brain to develop new
treatment approaches for neurodegenerative disorders (NDDs). This review paper …

Learning non-native phonetic categories in adulthood is an exceptionally challenging task,
characterized by large interindividual differences in learning speed and outcomes. The …

A fundamental objective in Auditory Sciences is to understand how people learn to
generalize auditory category knowledge in new situations. How we generalize to novel …

The complex nature of the human brain, with its intricate organic structure and multiscale
spatio-temporal characteristics ranging from synapses to the entire brain, presents a major …

Chinese speakers have long suffered from character amnesia in handwriting, failing to
handwrite a character despite being able to recognize it. The neurocognitive mechanisms …