Abstract: In recent years, brain-computer interfaces (BCIs) leveraging electroencephalography (EEG) signals for the control of external devices have garnered increasing attention. The information ...
UC Berkeley's SETI@home project, a crowdsourced scientific research initiative, identified nearly 12 billion potential ...
For twenty-one years, between 1999 and 2020, millions of people around the world lent the processing cycles of their personal ...
For 21 years, between 1999 and 2020, millions of people worldwide loaned UC Berkeley scientists their computers to search for ...
Abstract: Transfer learning is useful in increasing the generalization ability of a model, for dealing with variations among different subjects in the brain-computer interface (BCI). Nevertheless, ...
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