Memristor based neuromorphic circuit for visual pattern recognition

In this work a simple network composed by a first 25 sensory neurons layer and a second 10 output neuron layer connected by 250 memristor synapses is proposed. The system was simulated in PSPICE in order to recognize 5X5 pixel binary images.