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

存在多种多样的和广泛的神经物理和生物力学的调查，大脑活动和各种动力学和/或运动学方面的相关运动之间的关系。这些研究的目标之一是通过计算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，有许多研究涉及从初级运动皮层或多个额叶和顶叶皮层记录的神经元活动重建手臂运动。人工手臂在计算机屏幕上做出伸手和抓取的动作，只受猴子的思想驱动。尽管这些成功的实验，仍然有相当多的工作要做之前，智能BMI系统可以实现。最新的BMI系统能够在2D或3D空间中再现手的运动或计算机光标的运动。在本报告中，开发了用于大脑中神经元活动的多层有源阵列电极的新的信号处理方法，并提出了新的运动控制理论，其中无需轨迹规划就可以进行运动检查。并制作了控制电极位置的新型驱动器样机。

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.