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EEG-based Decoding of Selective Visual Attention in Superimposed Videos
Selective attention enables humans to efficiently process visual stimuli by enhancing important elements and filtering out irrelevant …
Yuanyuan Yao, Wout De Swaef, Simon Geirnaert, Alexander Bertrand
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EEG-based Decoding of Selective Visual Attention in Superimposed Videos
Stimulus-Informed Generalized Canonical Correlation Analysis for Group Analysis of Neural Responses to Natural Stimuli
Various new brain-computer interface technologies or neuroscience applications require decoding stimulus-following neural responses to …
Simon Geirnaert, Yuanyuan Yao, Tom Francart, Alexander Bertrand
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Stimulus-Informed Generalized Canonical Correlation Analysis for Group Analysis of Neural Responses to Natural Stimuli
Identifying Temporal Correlations Between Natural Single-shot Videos and EEG Signals
Electroencephalography (EEG) is a widely used technology for recording brain activity in brain-computer interface (BCI) research, where …
Yuanyuan Yao, Axel Stebner, Tinne Tuytelaars, Simon Geirnaert, Alexander Bertrand
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Identifying Temporal Correlations Between Natural Single-shot Videos and EEG Signals
Six-center Assessment of CNN-Transformer with Belief Matching Loss for Patient-independent Seizure Detection in EEG
Neurologists typically identify epileptic seizures from electroencephalograms (EEGs) by visual inspec-tion. This process is often …
Wei Yan Peh, Prasanth Thangavel, Yuanyuan Yao, John Thomas, Yee-Leng Tan, Justin Dauwels
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Six-center Assessment of CNN-Transformer with Belief Matching Loss for Patient-independent Seizure Detection in EEG