Material Networks for Neuromorphic Computing
2022 29th International Workshop on Active-Matrix Flatpanel Displays and Devices (AM-FPD)（2022）
摘要
The minimal model of material neural information device is networked nodes with nonlinear electronic properties with steep threshold and hysteresis. We demonstrated that Coulomb blockade networks of protein/DNA indicated stochastic resonance, conducting polymer networks exhibited the reservoir computing for audio recognition, and resonance tunneling via Ru-complex with Au-nanoparticle bridge array showed various wave generation. These results suggest that molecular network usuful for brain-type neural computing.
更多查看译文
关键词
material networks,neuromorphic computing,material neural information device,networked nodes,nonlinear electronic properties,steep threshold,hysteresis,Coulomb blockade networks,stochastic resonance,polymer networks,audio recognition,resonance tunneling,molecular network,brain-type neural computing,gold-nanoparticle bridge array,DNA,protein,conducting polymer networks,Au
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要