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Non-linear online low-frequency EEG decoding of arm movements during a pursuit tracking task.

, , , , и . EMBC, стр. 2981-2985. IEEE, (2020)

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Brain-computer interface channel selection optimization using meta-heuristics and evolutionary algorithms., , и . Appl. Soft Comput., (2022)Asynchronous Control of P300-Based Brain-Computer Interfaces Using Sample Entropy., , и . Entropy, 21 (3): 230 (2019)MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research., , , , , , и . Comput. Methods Programs Biomed., (марта 2023)GIB-UVa ERP-BCI dataset., , и . (мая 2022)Non-linear online low-frequency EEG decoding of arm movements during a pursuit tracking task., , , , и . EMBC, стр. 2981-2985. IEEE, (2020)Non-binary m-sequences for more comfortable brain-computer interfaces based on c-VEPs., , , , , и . Expert Syst. Appl., (декабря 2023)Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learning., , , , и . Comput. Methods Programs Biomed., (2022)A Binary Bees Algorithm for P300-Based Brain-Computer Interfaces Channel Selection., и . IWANN (2), том 10306 из Lecture Notes in Computer Science, стр. 453-463. Springer, (2017)Bit-Wise Reconstruction of Non-binary Visual Stimulation Patterns from EEG Using Deep Learning: A Promising Alternative for User-Friendly High-Speed c-VEP-Based BCIs., , и . IWANN (2), том 14135 из Lecture Notes in Computer Science, стр. 603-614. Springer, (2023)Decoding of continuous movement attempt in 2-dimensions from non-invasive low frequency brain signals., , , , , , , и . NER, стр. 322-325. IEEE, (2021)