Decoding brain activity is conducive to the breakthrough of brain-computer interface (BCI)
technology. The development of artificial intelligence (AI) continually promotes the progress …

Transforming neural activities into language is revolutionary for human–computer interaction
as well as functional restoration of aphasia. Present rapid development of artificial …

The approach of cross-language brain decoding is to use models of brain decoding from
one language to decode stimuli of another language. It has the potential to provide new …

A direct-speech brain-computer interface (DS-BCI) acquires neural signals corresponding to
imagined speech, then processes and decodes these signals to produce a linguistic output …

Until recently, human behavioral data from reading has mainly been of interest to
researchers to understand human cognition. However, these human language processing …

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 …

Background: Brain traumas, mental disorders, and vocal abuse can result in permanent or
temporary speech impairment, significantly impairing one's quality of life and occasionally …

Restoring communication in case of aphasia is a key challenge for neurotechnologies. To
this end, brain-computer strategies can be envisioned to allow artificial speech synthesis …

Brain-computer interface (BCI) is oriented toward intuitive systems that users can easily
operate. Imagined speech and visual imagery are emerging paradigms that can directly …

The conversion of brain activity into text using electroencephalography (EEG) has gained
significant traction in recent years. Many researchers are working to develop new models to …