Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Ian, Daly"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Neuroimaging studies have reported the possibility of semantic neural decoding to identify specific semantic concepts from neural activity. This offers promise for brain-computer interfaces (BCIs) for communication. However, translating thes
Externí odkaz:
https://doaj.org/article/c041d6bc717f4dd6bbc208d60479cde3
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 3075-3085 (2023)
Motor imagery (MI) is a popular paradigm for controlling electroencephalogram (EEG) based Brain-Computer Interface (BCI) systems. Many methods have been developed to attempt to accurately classify MI-related EEG activity. Recently, the development of
Externí odkaz:
https://doaj.org/article/77943955fa19426f813fb75886778476
Autor:
Ian Daly
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract Neural decoding models can be used to decode neural representations of visual, acoustic, or semantic information. Recent studies have demonstrated neural decoders that are able to decode accoustic information from a variety of neural signal
Externí odkaz:
https://doaj.org/article/1e9813fb49e045b28fda13b1fdf73737
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/b2ac5e84595742e2b3160e9284b1c9ba
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 20-29 (2022)
The motor imagery (MI) based brain-computer interfaces (BCIs) have been proposed as a potential physical rehabilitation technology. However, the low classification accuracy achievable with MI tasks is still a challenge when building effective BCI sys
Externí odkaz:
https://doaj.org/article/84dcbf331fb54323850c3ddf20965987
Autor:
Chang Liu, Jing Jin, Ian Daly, Shurui Li, Hao Sun, Yitao Huang, Xingyu Wang, Andrzej Cichocki
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 540-549 (2022)
It is difficult to identify optimal cut-off frequencies for filters used with the common spatial pattern (CSP) method in motor imagery (MI)-based brain-computer interfaces (BCIs). Most current studies choose filter cut-frequencies based on experience
Externí odkaz:
https://doaj.org/article/c0fc697b5f914e51af9eb04585aa2d2f
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0269370 (2022)
Museums have widely embraced virtual exhibits. However, relatively little attention is paid to how sound may create a more engaging experience for audiences. To begin addressing this lacuna, we conducted an online experiment to explore how sound infl
Externí odkaz:
https://doaj.org/article/bbee13603a114d01b19fd9ee406e8077
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Externí odkaz:
https://doaj.org/article/493b7f9bcab544f8aad3f71dde7574c9
Autor:
Yangyang Miao, Shugeng Chen, Xinru Zhang, Jing Jin, Ren Xu, Ian Daly, Jie Jia, Xingyu Wang, Andrzej Cichocki, Tzyy-Ping Jung
Publikováno v:
Neural Plasticity, Vol 2020 (2020)
Background. Stroke is the leading cause of serious and long-term disability worldwide. Survivors may recover some motor functions after rehabilitation therapy. However, many stroke patients missed the best time period for recovery and entered into th
Externí odkaz:
https://doaj.org/article/ed0d60076d6a442caa9d7ab21f2ab0ce
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
ObjectivePrevious studies have shown that combing with color properties may be used as part of the display presented to BCI users in order to improve performance. Build on this, we explored the effects of combinations of face stimuli with three prima
Externí odkaz:
https://doaj.org/article/0151a3bb5c7a45b1891dae3240dd2539