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基于神经元集成记录的脑机接口

Brain-Machine Interfaces Based on Neuronal Ensemble Recordings
课程网址: http://videolectures.net/bbci09_lebedev_bmib/  
主讲教师: Mikhail A. Lebedev
开课单位: 杜克大学
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
脑机接口(BMIs)在过去十年经历了爆炸式的发展。目前的BMIs技术将记录在非人灵长类动物或人类被试身上的神经整体活动转化为由人工执行器执行的伸手和抓握动作。身体质量指数,制定运动的下肢很少探索。此外,大多数BMI实施没有来自执行器的体感反馈。我将回顾我们最近的实验,在这些实验中,我们(I)从猴子的皮层活动中提取两足运动模式,(ii)使用大脑内微刺激的时空模式将信息传回大脑。这些结果使我们更接近于建立临床神经修复装置,以恢复瘫痪患者的感觉和运动功能。
课程简介: Brain-machine interfaces (BMIs) have experienced an explosive development during the last decade. Current state of the art BMIs convert neuronal ensemble activity recorded in nonhuman primates or human subjects into reaching and grasping movements performed by artificial actuators. BMIs that enact movements of lower extremeties are less explored. Additionally, most BMI implementations do not have somatosensory feedback from the actuator. I will review our recent experiments in which we (i) extracted bipedal locomotion patterns from monkey cortical activity and (ii) used spatiotemporal patterns of intracortical microstimulation to deliver information back to the brain. These results bring us closer to building clinical neuroprosthetic devices for restoration of both sensory and motor functions in paralyzed people.
关 键 词: 神经元; 集成; 脑机接口
课程来源: 视频讲座网
最后编审: 2019-10-29:cwx
阅读次数: 47