Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

Decoding visual information, such as visual imagery and perception, from EEG data can be
used to improve understanding of the neural representation of visual information and to …

We present a synchronized multimodal neuroimaging dataset for studying brain language
processing (SMN4Lang) that contains functional magnetic resonance imaging (fMRI) and …

This paper presents BELT, a novel model and learning framework for the pivotal topic of
brain-to-language translation research. The translation from noninvasive brain signals into …

Human action recognition is a critical capability for our survival, allowing us to interact easily
with the environment and others in everyday life. Although the neural basis of action …

Communication in the real world is inherently multimodal. When having a conversation,
typically sighted and hearing people use both auditory and visual cues to understand one …

With the continuous development of wearable sensors, it has become increasingly
convenient to collect various physiological signals from the human body. The combination of …

ABSTRACT The Eighth International Brain–Computer Interface (BCI) Meeting was held June
7–9, 2021 in a virtual format. The conference continued the BCI Meeting series' interactive …

Artificial intelligence (AI) is a fast-growing field focused on modeling and machine
implementation of various cognitive functions with an increasing number of applications in …

Decoding natural language from noninvasive brain signals has been an exciting topic with
the potential to expand the applications of brain-computer interface (BCI) systems. However …