Department of Electrical and Computer Engineering, University of California, San Diego, USA;
Department of Electrical and Computer Engineering, University of California, San Diego, USA;
Department of Electrical and Computer Engineering, University of California, San Diego, USA;
Department of Electrical and Computer Engineering, University of California, San Diego, USA;
Phase change materials; Resistance; Artificial neural networks; Synapses; Unsupervised learning; Training;
机译:带有PCM突触的尖刺神经网络中手写数字的漂移增强无监督学习
机译:在相变记忆(PCM)突触中通过尖峰时序相关可塑性进行无监督学习
机译:具有二元突触的限制博尔兹曼机中无监督特征学习的统计力学
机译:使用PCM突触漂移增强无监督学习
机译:无监督学习和强化学习的学习功能
机译:在相变记忆(PCM)突触中通过尖峰时序相关可塑性进行无监督学习
机译:用PCM突触在混合监督无监督的神经网络中节能持续学习