二次元強誘電体ヘテロ構造を用いた砂漠バッタ着想の波長選択的偏光視覚システム

A bionic vision system integrates image sensing, memory, and computing capabilities, overcoming the limitations of traditional von Neumann architectures. However, integrating polarization-sensitivity and wavelength-selectivity while maintaining exceptional energy-efficiency, non-volatile and high-speed storage remains challenging for advanced application scenarios. Here, we present a bionic polarization vision system (BPVS) based on graphene (Gr)/CuInP₂S₆ (CIPS)/Gr/h-BN/PdSe₂ (GCGhP) ferroelectric heterostructures, which achieves polarization-sensitive and wavelength-selective vision simulation. Optical excitation-induced ferroelectric polarization reversal confines the operational wavelength to the ultraviolet band. The anisotropy of PdSe₂ introduces polarization sensitivity, while the ferroelectric polarization mechanism ensures ultra-low power consumption of 0.15 pJ/7.44 fJ (optical enhancement/electrical suppression per spike). The system mimics polarimetric synaptic plasticity and realizes memory imaging at multiple polarization angles. A bionic polarization vision neural network designed for polarization image demosaicking achieves super-resolution reconstruction. Our findings provide an effective pathway for advanced and energy-efficient polarization-sensitive bionic neuromorphic computing and vision systems.