Development of a multiple-probe scanning probe microscope for investigation of signal transport through neuron and inorganic neuromorphic structures

通过学习复杂的神经网络自然系统，可以实现对输入信号进行并行处理的人工材料结构。这种具有神经形态功能的材料系统将彻底改变现有的计算机体系结构，开辟信息技术的新领域。在本研究项目中，我们开发了一种新型的多探针扫描探针显微镜（MP-SPM），并测量了神经形态人工无机结构的电导率，这是一个由碳纳米角聚体组成的小网络系统，内部含有醋酸银。

Realization of an artificial materials structure which provides parallel-processing of input signals would be achieved by learning sophisticated nature systems of neuron network. Such a neuromorphically functioning materials system will open a new field in the information technology by completely changing the present architectures for computers. In this research project, we developed a new multiple-probe scanning probe microscope (MP-SPM) and measured the conductivity of neuromorphic artificial inorganic structure, a small network system consisting of carbon nano-horns aggregates having silver acetate inside.