Tag: Brain-Computer Interface

A new study casts motor-imagery EEG ensemble design as simulated-annealing search over nearly 10^20 graph topologies, and finds that noisy ...

Researchers have unveiled EEG-UDAF, an unsupervised domain adaptation framework that fuses dual-view frequency features with spatio-temporal modeling to recognize emotions ...

A single high-density ECoG implant allowed three paralyzed participants to decode attempted speech and gestures simultaneously, driving a personalized avatar ...

High-density brain recordings in awake surgical patients reveal that imagined speech shares a supramodal planning network with overt articulation while ...

KAIST and Microsoft Research Asia have developed Neural Value Alignment, a brain–computer interface technology that decodes EEG signals to detect ...

A five-day brain-computer interface training protocol that feeds back the brain's own error-related potentials significantly improves people's ability to detect ...

A systematic study shows that Z-score normalization, applied after artifact removal, is essential for Transformer models to decode movement from ...

Harvard researchers used tissue-like flexible electrode arrays to track the same mouse neurons for five months and showed that geometric ...

A scoping review of 22 studies shows that EEG-measured mu and beta desynchronization during action observation therapy reliably tracks cortical ...

A brain-inspired spiking neural network that filters and decodes EEG signals can detect mental fatigue in tower crane operators with ...