As a novel category of biometric features, research on brain fingerprints has become a hot
topic in neuroscience, not only for its reliable performance on individual identification but …

With the joint advancement in areas such as pervasive neural data sensing, neural
computing, neuromodulation and artificial intelligence, neural interface has become a …

Transformers are groundbreaking architectures that have changed a flow of deep learning,
and many high-performance models are develo** based on transformer architectures …

Speech production is a hierarchical mechanism involving the synchronization of the brain
and the oral articulators, where the intention of linguistic concepts is transformed into …

Direct decoding of speech from the brain is a faster alternative to current
electroencephalography (EEG) speller-based brain-computer interfaces (BCI) in providing …

Neural speech decoding-driven brain-computer interface (BCI) or speech-BCI is a novel
paradigm for exploring communication restoration for locked-in (fully paralyzed but aware) …

Neural speech decoding aims at providing natural rate communication assistance to
patients with locked-in state (eg due to amyotrophic lateral sclerosis, ALS) in contrast to the …

Amyotrophic lateral sclerosis (ALS) is a motor neuron disease that may cause locked-in
syndrome (completely paralyzed but aware). These locked-in patients can communicate …

Speech decoding-based brain-computer interfaces (BCIs) are the next-generation
neuroprostheses that have the potential for real-time communication assistance to patients …

Neural speech decoding aims at direct decoding of speech from the brain to restore speech
communication in patients with locked-in syndrome (fully paralyzed but aware). Despite the …