The research of multilayer active array electrode for neuron activity in Brain

对于脑活动与相关运动的各种动力学和/或运动学方面的关系，存在着不同的和广泛的神经物理和生物力学研究。这些研究的目标之一是用计算机解释中枢神经系统的运动控制机制，并制作脑机接口(BMI)。近年来，已有许多研究从初级运动皮质或多个额叶和顶叶皮质记录到的神经元活动重建手臂运动。这只假臂在电脑屏幕上做出伸手和抓取的动作，仅靠猴子的思想驱动。尽管这些实验取得了成功，但在实现智能BMI系统之前，仍有大量工作要做。针对最新的BMI系统能够在2D或3D空间再现手部运动或计算机光标运动的问题，提出了一种新的用于脑神经元活动的多层有源阵列电极的信号处理方法，并提出了一种新的运动控制理论，其中运动检查无需进行轨迹规划。并制作了控制电极位置的新型驱动器作为样机。

There exist diverse and extensive neurophysical and biomechanical investigations into the relation between brain activity and various dynamical and/or kinematic aspects of correlated movements. One of the goals of these studies is to interpret the motor control mechanisms of the central nervous system computationally and to make a brain machine interface (BMI). Recently, there have been many studies concerning the reconstruction of arm movements from neuron activity recorded from the primary motor cortex or from multiple frontal and parietal cortical. The artificial arm made reaching and grasping movements on a computer screen driven only by the monkeys' thoughts. Despite these successful experiments, there still remains considerable work to be done before a smart BMI system can be realized. The most recent BMI systems are able to reproduce hand movements or computer cursor movements in a 2D or 3D space.In this report, new signal processing method was developed for multilayer active array electrode for neuron activity in Brain and new motor control theory was proposed in which the motor examination was conducted without trajectory planning. Also new actuator which controlled the electrode position was made as a prototype.