IEEE Computational Intelligence Magazine
Brain-computer interfaces for communication and control
Communications of the ACM
Deep feature learning using target priors with applications in ECoG signal decoding for BCI
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Computers and Electrical Engineering
Common spatio-time-frequency patterns for motor imagery-based brain machine interfaces
Computational Intelligence and Neuroscience
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Brain-computer interfaces (BCIs) use signals recorded from the brain to operate robotic or prosthetic devices. Both invasive and noninvasive approaches have proven effective. Achieving the speed, accuracy, and reliability necessary for real-world applications remains the major challenge for BCI-based robotic control.