A new approach for identifying signs of hidden awareness in people who cannot speak or move after severe brain injury has ...
Summary: Patients surviving severe traumatic brain injuries often enter states designated as Prolonged Disorders of Consciousness (PDoC) or Locked-In Syndrome (LIS). For decades, standard bedside ...
Non-surgical BCIs typically suffer from limited signal-to-noise ratios that make decoding difficult, and B2Q tested both MEG ...
Over the past several years, we have seen accelerating technological change. Machine learning is accelerating drug discovery, ...
Traditional SSVEP stimuli are essentially high‑contrast brightness modulations that strongly activate the occipital visual cortex, but they are ...
We propose EEG-SimpleConv, a straightforward 1D convolutional neural network for Motor Imagery decoding in BCI. Our main motivation is to propose a simple and performing baseline that achieves high ...
Researchers developed a brain-controlled gaming system that learns from the brain’s natural wiring, enabling fast BCI ...
Abstract: Assessing communication abilities in patients with disorders of consciousness (DOCs) is challenging due to limitations in the behavioral scale. Electroencephalogram-based brain-computer ...
The justice system depends upon the assumption that officers of the court have undergone rigorous legal training and scrutiny.
Scientists have a word for how we sense ourselves from the inside: interoception. Today, thanks to a 2021 Nobel Prize and new tools that can map internal signaling across the body, research into ...
UC Davis researchers published a Nature Medicine study showing a BCI implant gave an ALS patient 99% accurate speech over two years of independent daily use.
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