LIU X, JIA Z, XUN M, WAN X, LU H und ZHOU Y, 2025. MSFHNet: a hybrid deep learning network for multi-scale spatiotemporal feature extraction of spatial cognitive EEG signals in BCI-VR systems. Medical & biological engineering & computing. 1 November 2025. Vol. 63, no. 11, p. 3203-3203. DOI 10.1007/s11517-025-03386-y.
Elsevier - Harvard (with titles)Liu X, Jia Z, Xun M, Wan X, Lu H, Zhou Y, 2025. MSFHNet: a hybrid deep learning network for multi-scale spatiotemporal feature extraction of spatial cognitive EEG signals in BCI-VR systems. Medical & biological engineering & computing 63, 3203-3203. https://doi.org/10.1007/s11517-025-03386-y
American Psychological Association 7th editionLiu X, Jia Z, Xun M, Wan X, Lu H, & Zhou Y. (2025). MSFHNet: a hybrid deep learning network for multi-scale spatiotemporal feature extraction of spatial cognitive EEG signals in BCI-VR systems. Medical & Biological Engineering & Computing, 63(11), 3203-3203. https://doi.org/10.1007/s11517-025-03386-y
Springer - Basic (author-date)Liu X, Jia Z, Xun M, Wan X, Lu H, Zhou Y (2025) MSFHNet: a hybrid deep learning network for multi-scale spatiotemporal feature extraction of spatial cognitive EEG signals in BCI-VR systems.. Medical & biological engineering & computing 63:3203-3203. https://doi.org/10.1007/s11517-025-03386-y
Juristische Zitierweise (Stüber) (Deutsch)Liu X/ Jia Z/ Xun M/ Wan X/ Lu H/ Zhou Y, MSFHNet: a hybrid deep learning network for multi-scale spatiotemporal feature extraction of spatial cognitive EEG signals in BCI-VR systems., Medical & biological engineering & computing 2025, 3203-3203.