Beijing, China

Zilong Yan


Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2024

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Zilong Yan: Innovator in Neural Network Regulation

Introduction

Zilong Yan is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural regulation through his innovative patent. His work focuses on the development of advanced methods and systems that enhance the understanding and application of neural networks.

Latest Patents

Zilong Yan holds a patent for a "Closed-loop adaptive AC stimulation neural network regulation method and system." This invention pertains to the technical field of AC stimulation neural regulation. The system comprises an individualized navigation module, an AC stimulation module, an EEG acquisition module, and an adaptive coupling module. By inputting magnetic resonance images and functional magnetic resonance images into the individualized navigation module, a functional connectivity network is generated to finalize regulatory targets. The system determines the position of stimulating electrodes and the magnitude of the stimulating current based on the target to be regulated. Additionally, the stimulating frequency is established according to the EEG of the regulation object and is subsequently input into the AC stimulation module for regulation.

Career Highlights

Zilong Yan is affiliated with the Beijing Institute of Technology, where he continues to advance his research and innovations. His work has garnered attention for its potential applications in various fields, particularly in enhancing neural regulation techniques.

Collaborations

Zilong Yan collaborates with notable colleagues, including Tianyi Yan and Zhongyan Shi. Their combined expertise contributes to the ongoing development of innovative solutions in neural network regulation.

Conclusion

Zilong Yan's contributions to the field of neural regulation through his patented invention highlight his role as a leading innovator. His work not only advances scientific understanding but also paves the way for future developments in neural network applications.

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