Brain-computer interfaces (BCI) are electronic systems—either implanted in the brain or worn on the head—that let people control computers, robots, or other devices using brain signals.

evelopment platform for emerging machine intelligence algorithms and computational neuroscience. It consists of hundreds of p. ogrammable nodes, primarily based on Xilinx’s Field Progra.

Brain signal patterns generated in the central nervous system of brain-computer interface (BCI) users are closely related to BCI paradigms and neural coding. In BCI systems, BCI paradigms and neural …

Hence, the excitement when DeepMind released a paper this Octo-ber documenting their results on a new deep learning archi-tecture, dubbed the Differentiable Neural Computer (DNCs), with read and …

This study presented a three-level Hierarchical Convolutional Neural Network (HCNN) for improving the robustness and reliability of electroencephalography (EEG)-based brain–computer interface...

To infer intent, brain–computer interfaces must extract features that accurately estimate neural activity. However, the degradation of signal quality over time hinders the use of feature-engineering …

Nevertheless, integrating cognitive neuroscience with BCIs faces major challenges, including real-time interpretation of complex neural signals, translation of lab findings to real-world use, and …