Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Seokbeen Lim"'
Autor:
Youngjong Kwak, Seokbeen Lim, Hyun-U Cho, Jeongeun Sim, Sangjun Lee, Suhyeon Jeong, Se Jin Jeon, Chang-Hwan Im, Dong Pyo Jang
Publikováno v:
Brain Stimulation, Vol 16, Iss 5, Pp 1377-1383 (2023)
Background: Temporal interference stimulation (TIS) is a neuromodulation technique that could stimulate deep brain regions by inducing interfering electrical signals based on high-frequency electrical stimulations of multiple electrode pairs from out
Externí odkaz:
https://doaj.org/article/d17b5f355e9e4723ac953d12ee57b9b9
Publikováno v:
Sensors, Vol 21, Iss 20, p 6729 (2021)
Numerous brain–machine interface (BMI) studies have shown that various frequency bands (alpha, beta, and gamma bands) can be utilized in BMI experiments and modulated as neural information for machine control after several BMI learning trial sessio
Externí odkaz:
https://doaj.org/article/bd38f50df6ff44f7bad47f1275897a83
Publikováno v:
Sensors, Vol 19, Iss 7, p 1669 (2019)
Concentration and immersion belong to a similar mental state in which a person is preoccupied with a particular task. In this study, we investigated a possibility of diagnosing two mental states with a subtle difference. Concentration and immersion s
Externí odkaz:
https://doaj.org/article/727ccd9b45714c3e8e5ca45a4e24322e
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 6729, p 6729 (2021)
Sensors
Volume 21
Issue 20
Sensors, Vol 21, Iss 6729, p 6729 (2021)
Sensors
Volume 21
Issue 20
Numerous brain–machine interface (BMI) studies have shown that various frequency bands (alpha, beta, and gamma bands) can be utilized in BMI experiments and modulated as neural information for machine control after several BMI learning trial sessio
Autor:
Sangjun Lee, Jimin Park, Da Som Choi, Seokbeen Lim, Youngjong Kwak, Dong Pyo Jang, Dong Hwan Kim, Han Bi Ji, Young Bin Choy, Chang-Hwan Im
Publikováno v:
Journal of Neural Engineering. 19:056003
Objective. Temporal interference stimulation (TIS) has shown the potential as a new method for selective stimulation of deep brain structures in small animal experiments. However, it is challenging to deliver a sufficient temporal interference (TI) c
Publikováno v:
2020 8th International Winter Conference on Brain-Computer Interface (BCI).
Recently, several studies are focusing on the bimanual based arm movement brain-computer interface (BCI) study. In our previous bimanual BCI studies showed that classifying the arm movement type is significantly improved the BCI performance. In this
Publikováno v:
Journal of Neural Engineering. 18:066022
Objective. With the development in the field of neural networks, explainable AI (XAI), is being studied to ensure that artificial intelligence models can be explained. There are some attempts to apply neural networks to neuroscientific studies to exp
Publikováno v:
Sensors, Vol 19, Iss 7, p 1669 (2019)
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 7
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 7
Concentration and immersion belong to a similar mental state in which a person is preoccupied with a particular task. In this study, we investigated a possibility of diagnosing two mental states with a subtle difference. Concentration and immersion s
Autor:
Seokbeen Lim, Kyoung Ha Ahn, In Young Kim, Hoseok Choi, Kyeongran Min, Jinsick Park, Kyoung Min Lee, Seho Lee, Jeyeon Lee, Dong Pyo Jang
Publikováno v:
Journal of neuroscience methods. 308
Background A screw-shaped electrode can offer a compromise between signal quality and invasiveness. However, the standard screw electrode can be vulnerable to electrical noise while directly contact with the skull or skin, and the feasibility and sta
Autor:
Seokbeen Lim, Gilwon Yoon
The readiness potential in brain waves is a brain activity related with an intention whose potential arises even before its conscious intention. This study was carried out in order to understand the generation and mechanism of the readiness potential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83b640856aedc549c8100fb783956f91