Demonstration of hybrid CMOS/RRAM neural networks with spike time/rate-dependent plasticity
Valerio Milo, Daniele Ielmini(Politecnico di Milano), Alessandro Calderoni(Micron (United States)), Stefano Ambrogio(IBM (United States)), Roberto Carboni, Nirmal Ramaswamy(Micron (United States)), Giacomo Pedretti(Politecnico di Milano)
Cited by 71
Related Papers
Recommended Methods to Study Resistive Switching Devices
|Advanced Electronic Materials|2018|649
Emerging neuromorphic devices
|Nanotechnology|2019|312
Neuromorphic Learning and Recognition With One-Transistor-One-Resistor Synapses and Bistable Metal Oxide RRAM
|IEEE Transactions on Electron Devices|2016|250
Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses
|Frontiers in Neuroscience|2016|246