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Objective: Deep learning based on convolutional neural networks (CNN) has achieved success in brain-computer interfaces (BCIs) using scalp electroencephalography (EEG). However, the interpretation of the so-called 'black box'...

stereo-electroencephalography (sEEG) brain-computer interface (BCI) convolutional neural networks (CNN) Deep learning forearm and hand motion /dk/atira/pure/subjectarea/asjc/3600/3605 name=Health Information Management /dk/atira/pure/subjectarea/asjc/2700/2718 name=Health Informatics /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/subjectarea/asjc/1700/1706 name=Computer Science Applications

Objective: Brain-computer interfaces (BCIs) are technologies that bypass damaged or disrupted neural pathways and directly decode brain signals to perform intended actions. BCIs for speech have the potential to restore...

brain-computer interface (BCI) Deep learning speech decoding speech prosthesis stereo-electroencephalography (sEEG) /dk/atira/pure/subjectarea/asjc/2200/2204 name=Biomedical Engineering /dk/atira/pure/subjectarea/asjc/2800/2804 name=Cellular and Molecular Neuroscience

Objective: Deep learning based on convolutional neural networks (CNN) has achieved success in brain-computer interfaces (BCIs) using scalp electroencephalography (EEG). However, the interpretation of the so-called 'black box'...

stereo-electroencephalography (sEEG) brain-computer interface (BCI) convolutional neural networks (CNN) Deep learning forearm and hand motion /dk/atira/pure/subjectarea/asjc/3600/3605 name=Health Information Management /dk/atira/pure/subjectarea/asjc/2700/2718 name=Health Informatics /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/subjectarea/asjc/1700/1706 name=Computer Science Applications

Brain-computer interfaces (BCI) enable movement-independent information transfer from humans to computers. Decoding imagined 3D objects from electroencephalography (EEG) may improve design ideation in engineering design or image...

brain-computer interface (BCI) Electroencephalography (EEG) filter-bank common spatial patterns (FBCSP) imagined 3D objects real-time signal processing /dk/atira/pure/subjectarea/asjc/1700/1709 name=Human-Computer Interaction /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/subjectarea/asjc/2800/2802 name=Behavioral Neuroscience /dk/atira/pure/subjectarea/asjc/2200/2204 name=Biomedical Engineering

Brain-computer interfaces (BCI) enable movement-independent information transfer from humans to computers. Decoding imagined 3D objects from electroencephalography (EEG) may improve design ideation in engineering design or image...

brain-computer interface (BCI) Electroencephalography (EEG) filter-bank common spatial patterns (FBCSP) imagined 3D objects real-time signal processing /dk/atira/pure/subjectarea/asjc/1700/1709 name=Human-Computer Interaction /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/subjectarea/asjc/2800/2802 name=Behavioral Neuroscience /dk/atira/pure/subjectarea/asjc/2200/2204 name=Biomedical Engineering

Objective: Brain-computer interfaces (BCIs) are technologies that bypass damaged or disrupted neural pathways and directly decode brain signals to perform intended actions. BCIs for speech have the potential to restore...

brain-computer interface (BCI) Deep learning speech decoding speech prosthesis stereo-electroencephalography (sEEG) /dk/atira/pure/subjectarea/asjc/2200/2204 name=Biomedical Engineering /dk/atira/pure/subjectarea/asjc/2800/2804 name=Cellular and Molecular Neuroscience