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Frontiers in Human Neuroscience
|
February 3, 2016
Steady-State Somatosensory Evoked Potential for Brain-Computer Interface-Present and Future
Sangtae Ahn, Kiwoong Kim, Sung Chan Jun
The European Journal of Neuroscience
|
November 1, 2018
Modulating neural oscillations by transcranial static magnetic field stimulation of the dorsolateral prefrontal cortex: A crossover, double-blind, sham-controlled pilot study
Alec Sheffield, Sangtae Ahn, Sankaraleengam Alagapan, et al.
IEEE Transactions on Cybernetics
|
March 7, 2025
Intelligent Resilient Security Control for Fractional-Order Multiagent Networked Systems Using Reinforcement Learning and Event-Triggered Communication Mechanism
G Narayanan, Rajagopal Karthikeyan, Sangmoon Lee, et al.
European Journal of Applied Physiology
|
April 20, 2020
Exploring the relationship between geomagnetic activity and human heart rate variability
Matthew Mattoni, Sangtae Ahn, Carla Fröhlich, et al.
Plos One
|
November 27, 2013
High theta and low alpha powers may be indicative of BCI-illiteracy in motor imagery
Minkyu Ahn, Hohyun Cho, Sangtae Ahn, et al.
Physics in Medicine and Biology
|
January 7, 2009
Exact and approximate Fourier rebinning of PET data from time-of-flight to non time-of-flight
Sanghee Cho, Sangtae Ahn, Quanzheng Li, et al.
Computers in Biology and Medicine
|
December 14, 2024
STCNet: Spatio-Temporal Cross Network with subject-aware contrastive learning for hand gesture recognition in surface EMG
Jaemo Yang, Doheun Cha, Dong-Gyu Lee, et al.
IEEE Transactions on Medical Imaging
|
January 25, 2007
A fast fully 4-D incremental gradient reconstruction algorithm for list mode PET data
Quanzheng Li, Evren Asma, Sangtae Ahn, et al.
Journal of Neural Engineering
|
October 14, 2014
Achieving a hybrid brain-computer interface with tactile selective attention and motor imagery
Sangtae Ahn, Minkyu Ahn, Hohyun Cho, et al.
Frontiers in Human Neuroscience
|
March 3, 2018
User's Self-Prediction of Performance in Motor Imagery Brain-Computer Interface
Minkyu Ahn, Hohyun Cho, Sangtae Ahn, et al.
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of 8
Search research articles
Search
Showing results (11-20 of 72) with videos related to
Sort By:
Page
of 8
Frontiers in Human Neuroscience
|
February 3, 2016
Steady-State Somatosensory Evoked Potential for Brain-Computer Interface-Present and Future
Sangtae Ahn, Kiwoong Kim, Sung Chan Jun
The European Journal of Neuroscience
|
November 1, 2018
Modulating neural oscillations by transcranial static magnetic field stimulation of the dorsolateral prefrontal cortex: A crossover, double-blind, sham-controlled pilot study
Alec Sheffield, Sangtae Ahn, Sankaraleengam Alagapan, et al.
IEEE Transactions on Cybernetics
|
March 7, 2025
Intelligent Resilient Security Control for Fractional-Order Multiagent Networked Systems Using Reinforcement Learning and Event-Triggered Communication Mechanism
G Narayanan, Rajagopal Karthikeyan, Sangmoon Lee, et al.
European Journal of Applied Physiology
|
April 20, 2020
Exploring the relationship between geomagnetic activity and human heart rate variability
Matthew Mattoni, Sangtae Ahn, Carla Fröhlich, et al.
Plos One
|
November 27, 2013
High theta and low alpha powers may be indicative of BCI-illiteracy in motor imagery
Minkyu Ahn, Hohyun Cho, Sangtae Ahn, et al.
Physics in Medicine and Biology
|
January 7, 2009
Exact and approximate Fourier rebinning of PET data from time-of-flight to non time-of-flight
Sanghee Cho, Sangtae Ahn, Quanzheng Li, et al.
Computers in Biology and Medicine
|
December 14, 2024
STCNet: Spatio-Temporal Cross Network with subject-aware contrastive learning for hand gesture recognition in surface EMG
Jaemo Yang, Doheun Cha, Dong-Gyu Lee, et al.
IEEE Transactions on Medical Imaging
|
January 25, 2007
A fast fully 4-D incremental gradient reconstruction algorithm for list mode PET data
Quanzheng Li, Evren Asma, Sangtae Ahn, et al.
Journal of Neural Engineering
|
October 14, 2014
Achieving a hybrid brain-computer interface with tactile selective attention and motor imagery
Sangtae Ahn, Minkyu Ahn, Hohyun Cho, et al.
Frontiers in Human Neuroscience
|
March 3, 2018
User's Self-Prediction of Performance in Motor Imagery Brain-Computer Interface
Minkyu Ahn, Hohyun Cho, Sangtae Ahn, et al.
Page
of 8