Editorial: Explainable and advanced intelligent processing in the brain-machine interaction.

Xie X
Zhang D
Yu T
Duan Y
Daly I
He S

Brain signals can be used to control external devices, such as computers, robots, or prosthetics via a brain-computer interface (BCI). However, decoding brain signals is not easy, because they are complex and noisy. In this research topic, the editors collected five articles that explore different ways of making BCI more explainable and accurate. It is hoped that this resource will spark further discussion, and ultimately advance the field.

Diagram showing a brain on the left, and an actuator on the right, with arrows at the top and bottom of the image, forming a loop. The brain feeds 'Improving BCI performance' into the actuator, and the actuator feeds 'facilitating the understanding of disease mechanisms' into the brain. At the centre is text saying 'Explainable Intelligent Processing'.
Improving brain-computer interface (BCI) performance and facilitating the understanding of disease mechanisms using explainable intelligent algorithms.
Citation

2023. Front Hum Neurosci, 17:1280281.

DOI
10.3389/fnhum.2023.1280281
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