Brown brain interface work advances

PROVIDENCE – Brown University researchers have made what they describe as an important step in improving the performance of the brain-computer interface that they have been laboring on in recent years.

A persistent issue has been the need to recalibrate the electrodes to contend with changing signals arising in the brain. The ever-changing neural landscape has meant delays, but the recent advance in the latest study allows the algorithm to recalibrate itself.

“Eliminating the need to run a calibration task whenever the recorded signals change will make a clinical brain-computer interface more user-friendly and easy to use,” said lead author Beata Jarosiewicz, assistant professor of neuroscience at Brown and the Brown Institute for Brain Science, and an investigator at the Providence Veterans Affairs Medical Center.

The research team includes scientists, engineers, and clinicians from Brown, Massachusetts General Hospital, PVAMC, Stanford University and Case Western Reserve University.

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