Brain Waves Predict Decision Accuracy in Virtual Reality Under High Workload
Researchers found that spatial-covariance EEG signals reliably predicted decision accuracy before responses were finalized under high cognitive workload in virtual ...
Researchers found that spatial-covariance EEG signals reliably predicted decision accuracy before responses were finalized under high cognitive workload in virtual ...
Researchers developed a Riemannian-weighted filter bank framework that enhances multiclass motor imagery brain-computer interface classification, achieving an 81.83 percent ensemble ...
Mathematicians have generalized the extended Kalman filter to work on Stiefel manifolds, curved spaces of orthonormal vectors that appear in ...
Researchers have developed CurvBi, a framework that unites four-dimensional bicomplex algebra with Fisher-Rao-based Riemannian fusion to improve multimodal knowledge graph ...
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© 2026 Scienmag - Science Magazine