Memristive artificial synapses based on Au–TiO2 composite thin film for neuromorphic computing

Neuromorphic computing architecture is considered to be a highly desirable next-generation as it simulates the way brain processes information. The basic device supporting such an called artificial synapse, which possesses synapse-like functionalities. Here in this work, Au–TiO2 composite thin film (Au nanoparticles embedding into TiO2 matrix) based memristive synapse has been fabricated with excellent interface-type resistive switching (RS) characteristics. conductivity of can continuously tuned by applying different sequences pulses, could analogous weight change synapses. Various synaptic behaviors have emulated, long-term potentiation/depression, short-term/long-term memory, learning-forgetting process, and paired-pulse facilitation. Finally, neural network for hand-written digits recognition constructed accuracy level high ∼90%. performance demonstrates availability incorporating second phase tune RS properties shows its potential memristor synapses neuromorphic enhanced performance.