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Palabras clave – provistas por la editorial

graphene oxide; artificial neural network; simulation; neural networks; STDP; neuromorphics; spiking neural network; artificial intelligence; hierarchical temporal memory; synaptic weight; optimization; transistor-like devices; multiscale modeling; memristor crossbar; spike-timing-dependent plasticity; memristor-CMOS hybrid circuit; pavlov; wire resistance; AI; neocortex; synapse; character recognition; resistive switching; electronic synapses; defect-tolerant spatial pooling; emulator; compact model; deep learning networks; artificial synapse; circuit design; memristors; neuromorphic engineering; memristive devices; OxRAM; neural network hardware; sensory and hippocampal responses; neuromorphic hardware; boost-factor adjustment; RRAM; variability; Flash memories; neuromorphic; reinforcement learning; laser; memristor; hardware-based deep learning ICs; temporal pooling; self-organization maps; crossbar array; pattern recognition; strongly correlated oxides; vertical RRAM; autocovariance; neuromorphic computing; synaptic device; cortical neurons; time series modeling; spiking neural networks; neuromorphic systems; synaptic plasticity