Abstract:

Ferroelectric optoelectronic artificial synapses, as an emerging class of intelligent devices, are regarded as ideal candidates for constructing neuromorphic visual systems owing to their advantages, such as ultrafast read-write speed and ultra-low energy consumption. This Perspective systematically reviews recent research progress in ferroelectric optoelectronic artificial synaptic devices. First, the operating mechanisms of two types of devices—namely photoconductive and photovoltaic devices—and their simulation of basic synaptic functions are discussed. Subsequently, the applications of these devices in neuromorphic visual systems are reviewed, including the simulation of learning and memory functions in biological visual systems, image information preprocessing and recognition, the detection and processing of dynamic visual information, and applications in multimodal interaction systems. Finally, the main challenges in the development of this class of devices are summarized from the perspectives of material preparation, device fabrication processes, and system architecture, and future development prospects are also presented. This Perspective not only provides a structured knowledge framework for experts in the field but also offers valuable reference information and directional guidance for advancing the development of novel low-power intelligent visual hardware.

Key words: neuromorphic vision, ferroelectric optoelectronic artificial synapses, synaptic plasticity