Optoelectronic synapses based on IGZO/Bi 3 . 2 5 La 0 . 7 5 Ti 3 O 1 2 heterojunctions for human brain learning mechanism simulation

Abstract In recent years, optoelectronic synapses have garnered significant attention in the field of neuromorphic computing due to their integration of optical sensing and synaptic functions. In this work, we propose an optoelectronic synapse based on IGZO/Bi 3.25 La 0.75 Ti 3 O 12 heterojunction. Under UV light stimulation, this device can simulate a range of synaptic behaviors, including paired-pulse facilitation, spike-intensity-dependent plasticity, spike-number-dependent plasticity, spike-width-dependent plasticity, and the transition from short-term memory to long-term memory. The majority of perceptible information for humans is acquired through the visual system. The 3 × 3 retinal morphology synapse arrays constructed based on plasticity behaviors not only integrates light perception and storage functions but also exhibits adaptive adjustment capabilities to address image blurring caused by object movement. At the same time, in CNN recognition training, the device successfully simulates the learning−relearning mechanism of the human brain. These findings highlight the device’s immense potential for applications in artificial vision systems.