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A state-of-the-art review of EEG-based imagined speech decoding
Currently, the most used method to measure brain activity under a non-invasive procedure is
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …
Decoding speech perception from non-invasive brain recordings
Decoding speech from brain activity is a long-awaited goal in both healthcare and
neuroscience. Invasive devices have recently led to major milestones in this regard: deep …
neuroscience. Invasive devices have recently led to major milestones in this regard: deep …
Decoding imagined and spoken phrases from non-invasive neural (MEG) signals
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 …
and the oral articulators, where the intention of linguistic concepts is transformed into …
Human-computer interaction for brain-inspired computing based on machine learning and deep learning: A review
The continuous development of artificial intelligence has a profound impact on biomedicine
and other fields, providing new research ideas and technical methods. Brain-inspired …
and other fields, providing new research ideas and technical methods. Brain-inspired …
Impact monitoring of large size complex metal structures based on sparse sensor array and transfer learning
During aircraft operations, the impact events experienced by the aircraft may cause damage
to the structure, thus posing a safety hazard. Therefore, an accurate determination of where …
to the structure, thus posing a safety hazard. Therefore, an accurate determination of where …
MEG sensor selection for neural speech decoding
Direct decoding of speech from the brain is a faster alternative to current
electroencephalography (EEG) speller-based brain-computer interfaces (BCI) in providing …
electroencephalography (EEG) speller-based brain-computer interfaces (BCI) in providing …
Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement …
Introduction Articulography and functional neuroimaging are two major tools for studying the
neurobiology of speech production. Until now, however, it has generally not been feasible to …
neurobiology of speech production. Until now, however, it has generally not been feasible to …
[HTML][HTML] NeuroVAD: Real-time voice activity detection from non-invasive neuromagnetic signals
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) …
paradigm for exploring communication restoration for locked-in (fully paralyzed but aware) …
Magnetometers vs gradiometers for neural speech decoding
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 …
patients with locked-in state (eg due to amyotrophic lateral sclerosis, ALS) in contrast to the …
How many bytes can you take out of brain-to-text decoding?
Brain-computer interfaces have promising medical and scientific applications for aiding
speech and studying the brain. In this work, we propose an information-based evaluation …
speech and studying the brain. In this work, we propose an information-based evaluation …