A spike neuron network prototype based on RRAM Array

The neuromorphic computing is an emerging paradigm for multimedia applications due to the features of massive parallelism, adaptivity to the complex input information, and its tolerance to errors. The oxide-based resistive switching device is a promising candidate to implement the synapse functions of neuron network due to the extra-low energy loss per spike. This work implements a simplified circuit system of neuromorphic visual system using the real RRAM devices with spike tuning scheme, and its capability of learning is validated.