IEEE

Recognizing Natural Images From EEG With Language-Guided Contrastive Learning

Abstract: Electroencephalography (EEG), known for its convenient noninvasive acquisition but moderate signal-to-noise ratio, has recently gained much attention due to the potential to decode image ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
IEEE

Student Engagement Recognition: Comprehensive Analysis Through EEG and Verification by Image Traits Using Deep Learning Techniques

Abstract: With the advancement in educational technologies and strategies, hybrid and online teaching methods are gaining significant popularity. Student engagement is an important factor that ...
Hosted on MSN

Earliest-ever images of supernova explosions reveal they’re far more chaotic than anyone thought

What happened: Astronomers used the CHARA Array to capture the first detailed images of two novae within days to weeks of their eruptions in 2021. What they found: Nova V1674 Her showed two ...
Phys.org

Close-up images show how stars explode in real time

Astronomers have captured images of two stellar explosions—known as novae—within days of their eruption and in unprecedented detail. The breakthrough provides direct evidence that these explosions are ...