Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks

Filippo Moro, E. Esmanhotto, T. Hirtzlin +10

Spiking Neural Networks (SNNs) can unleash the full power of analog Resistive Random Access Memories (RRAMs) based circuits for low power signal processing. Their inherent computat…