School of Materials Engineering, Purdue University, West Lafayette, IN 47907, USA.
School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA 16802, USA.
Sci Adv. 2023 Mar 15;9(11):eade4838. doi: 10.1126/sciadv.ade4838. Epub 2023 Mar 17.
The cointegration of artificial neuronal and synaptic devices with homotypic materials and structures can greatly simplify the fabrication of neuromorphic hardware. We demonstrate experimental realization of vanadium dioxide (VO) artificial neurons and synapses on the same substrate through selective area carrier doping. By locally configuring pairs of catalytic and inert electrodes that enable nanoscale control over carrier density, volatility or nonvolatility can be appropriately assigned to each two-terminal Mott memory device per lithographic design, and both neuron- and synapse-like devices are successfully integrated on a single chip. Feedforward excitation and inhibition neural motifs are demonstrated at hardware level, followed by simulation of network-level handwritten digit and fashion product recognition tasks with experimental characteristics. Spatially selective electron doping opens up previously unidentified avenues for integration of emerging correlated semiconductors in electronic device technologies.
人工神经元和突触器件与同型材料和结构的整合可以极大地简化神经形态硬件的制造。我们通过选择性区域载流子掺杂,在同一衬底上演示了钒氧化物(VO)人工神经元和突触的实验实现。通过局部配置一对催化和惰性电极,可对载流子密度进行纳米级控制,从而根据光刻设计为每个双端莫特存储器件分配适当的挥发性或非易失性,并且成功地在单个芯片上集成了神经元和突触样器件。在硬件级别演示了前馈激励和抑制神经模式,然后使用实验特性模拟了网络级别的手写数字和时尚产品识别任务。空间选择性电子掺杂为在电子器件技术中集成新兴相关半导体开辟了以前未知的途径。