Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex
Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex
复制标题
DOI：
10.1038/10223
复制
发表时间：
1999-07-01
影响因子：
25
通讯作者：
Nicolelis, MAL
中科院分区：
文献类型：
--
作者：
Chapin, JK;Moxon, KA;Nicolelis, MAL
为了确定同时记录的运动皮层神经元是否可以用于实时设备控制，大鼠被训练通过按压杠杆来定位机械臂以获取水。包括神经网络在内的数学转换将多神经元信号转换为“神经元种群函数”，从而准确预测杠杆轨迹。接下来，这些功能被电子转换成机器人手臂控制的实时信号。在切换到这种“神经机器人”模式后，6只动物中的4只（那些有100到25个任务相关神经元的动物）经常使用这些脑源性信号来定位机械臂并获取水。在神经机器人模式下继续训练，动物的杠杆运动减少或停止。这些结果为瘫痪患者运动恢复提供了一种可能的方法。
To determine whether simultaneously recorded motor cortex neurons can be used for real-time device control, rats were trained to position a robot arm to obtain water by pressing a lever. Mathematical transformations, including neural networks, converted multineuron signals into 'neuronal population functions' that accurately predicted lever trajectory. Next, these functions were electronically converted into real-time signals for robot arm control. After switching to this 'neurorobotic' mode, 4 of 6 animals (those with >25 task-related neurons) routinely used these brain-derived signals to position the robot arm and obtain water. With continued training in neurorobotic mode, the animals' lever movement diminished or stopped. These results suggest a possible means for movement restoration in paralysis patients.