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Jianjun Meng

Showing results (1-10 of 78) with videos related to

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Sensors (Basel, Switzerland)|February 26, 2025
A Study on Multi-Robot Task Allocation in Railway Scenarios Based on the Improved NSGA-II AlgorithmYanni Shen, Jianjun Meng
Sensors (Basel, Switzerland)|September 27, 2025
Non-Uniform Deployment of LWSN for Automated Railway Track Fastener Maintenance Robot and GA-LEACH OptimizationYanni Shen, Jianjun Meng
Frontiers in Human Neuroscience|May 7, 2019
Exploring Training Effect in 42 Human Subjects Using a Non-invasive Sensorimotor Rhythm Based Online BCIJianjun Meng, Bin He
Neuron|January 22, 2026
A multisensory hub for resilience: LC-vLGN/IGL circuits in stress copingJiawei Shen, Jianjun Meng, Tian Xue
Brain Connectivity|April 15, 2026
Transformative Technologies in Brain-Computer Interfaces-Innovations, Applications, and ChallengesSteven Laureys, Christoph Guger, Jianjun Meng
Journal of Neuroscience Methods|October 15, 2023
Effect of motion state variability on error-related potentials during continuous feedback paradigms and their consequences for classificationRuijie Luo, Ximing Mai, Jianjun Meng
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Soft drink effects on sensorimotor rhythm brain computer interface performance and resting-state spectral powerJohn Mundahl, Jianjun Meng, Jeffrey He, et al.
Computers in Biology and Medicine|May 21, 2025
Evaluation of motor unit tracking across hand movements by combining high-density surface electromyography with ultrafast ultrasoundZongtian Yin, Chen Chen, Jianjun Meng, et al.
Frontiers in Human Neuroscience|February 10, 2022
Effects of Gaze Fixation on the Performance of a Motor Imagery-Based Brain-Computer InterfaceJianjun Meng, Zehan Wu, Songwei Li, et al.
IEEE Journal of Biomedical and Health Informatics|October 15, 2013
Improved semisupervised adaptation for a small training dataset in the brain-computer interfaceJianjun Meng, Xinjun Sheng, Dingguo Zhang, et al.
Pageof 8

Showing results (1-10 of 78) with videos related to

Sort By:
Pageof 8
Sensors (Basel, Switzerland)|February 26, 2025
A Study on Multi-Robot Task Allocation in Railway Scenarios Based on the Improved NSGA-II AlgorithmYanni Shen, Jianjun Meng
Sensors (Basel, Switzerland)|September 27, 2025
Non-Uniform Deployment of LWSN for Automated Railway Track Fastener Maintenance Robot and GA-LEACH OptimizationYanni Shen, Jianjun Meng
Frontiers in Human Neuroscience|May 7, 2019
Exploring Training Effect in 42 Human Subjects Using a Non-invasive Sensorimotor Rhythm Based Online BCIJianjun Meng, Bin He
Neuron|January 22, 2026
A multisensory hub for resilience: LC-vLGN/IGL circuits in stress copingJiawei Shen, Jianjun Meng, Tian Xue
Brain Connectivity|April 15, 2026
Transformative Technologies in Brain-Computer Interfaces-Innovations, Applications, and ChallengesSteven Laureys, Christoph Guger, Jianjun Meng
Journal of Neuroscience Methods|October 15, 2023
Effect of motion state variability on error-related potentials during continuous feedback paradigms and their consequences for classificationRuijie Luo, Ximing Mai, Jianjun Meng
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Soft drink effects on sensorimotor rhythm brain computer interface performance and resting-state spectral powerJohn Mundahl, Jianjun Meng, Jeffrey He, et al.
Computers in Biology and Medicine|May 21, 2025
Evaluation of motor unit tracking across hand movements by combining high-density surface electromyography with ultrafast ultrasoundZongtian Yin, Chen Chen, Jianjun Meng, et al.
Frontiers in Human Neuroscience|February 10, 2022
Effects of Gaze Fixation on the Performance of a Motor Imagery-Based Brain-Computer InterfaceJianjun Meng, Zehan Wu, Songwei Li, et al.
IEEE Journal of Biomedical and Health Informatics|October 15, 2013
Improved semisupervised adaptation for a small training dataset in the brain-computer interfaceJianjun Meng, Xinjun Sheng, Dingguo Zhang, et al.
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