One Transformer Reads Three Brain-Signal Types at Once, Hitting 71% Accuracy
A single Transformer-based decoder trained on the OpenBMI dataset classified eight EEG classes spanning motor imagery, P300, and SSVEP paradigms ...
Tag: SSVEP
Multi-paradigm EEG signals and AI enable reliable biometric authentication
A multi-paradigm EEG protocol combined with machine learning achieved a 1.6 percent equal error rate in cross-session biometric authentication.
Beyond flickering: code-modulated motion visual evoked potentials bring flicker-free control to brain-computer interfaces
A new c-MVEP paradigm modulates stimuli with pseudo-random zooming motion instead of flicker, reaching 85.67% accuracy in an online BCI ...
Your Brain Keeps Attention Locked on Moving Targets Even When Tracking Gets Harder
New EEG research shows that faster objects and more distractors impair multiple object tracking performance without weakening the attentional enhancement ...
-
Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
-
University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
-
Bee body mass, pathogens and local climate influence heat tolerance
-
Researchers record first-ever images and data of a shark experiencing a boat strike
-
Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!