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深圳市南山区西丽大学城学苑大道1068号, 中国科学院深圳先进技术研究院, 集成所神经工程研究中心

0755-86392299

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0755-86387965

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李永程

李永程
副研究员、博导

研究方向:
神经信号处理和离体神经网络接口

E-mail:li.yc@siat.ac.cn

个人简介

My research is focused on neural interface, including brain-machine interfaces (BMIs), neural prosthetics and dissociated neural network interface. BMIs are devices that translate signals from the cerebral cortex and use them to control a variety of outputs such as a computer cursor, prosthetic limb, exoskeleton, or electrically-stimulated muscles in a paralyzed limb. BMIs could allow patients with severe paralysis (quadriplegic or “locked-in, for example from ALS, stroke or spinal cord injury) to interact with their environment and potentially regain the use of a limb again. We are investigating the use of BMIs as a rehabilitative tool to drive changes in the brain's wiring. In addition, this technology could also provide a way for such impaired subjects to communicate by directly decoding their intended speech from the cortex. Our final goal is to optimize BMIs to the extent which they can safely and effectively be used in humans for long-term applications. Moreover, I also connected the dissociated neural network with external environment. This engineered neural network could not only allow us to investigate the fundamental principles with respect to brain, but also potentially to transplant to brain for restoring the impaired brain areas.