Hybrid organic–inorganic halide perovskites have been recently explored as memristive devices that can be programmed to two or more stable conductance states for analog computing. The wide variety and range of optoelectronic phenomena these materials portray offer immense potential to develop scaled-in neuromorphic devices and architectures with multibit memory storage and multimodal accessibility. This article provides a general summary of the structural and optoelectronic characteristics of this material class that could be utilized for neuromorphic computing, discusses insights into the underlying switching mechanisms, and reviews recent developments in the field of halide perovskite-based neuromorphic devices.

混合有机-无机卤化物钙钛矿最近已被研究为忆阻器件，可以将其编程为两个或多个稳定电导状态以进行模拟计算。这些材料描绘的光电子现象种类繁多，范围广泛，具有开发具有多位存储器存储和多模式可访问性的按比例放大的神经形态设备和体系结构的巨大潜力。本文提供了可用于神经形态计算的该材料类别的结构和光电特性的一般摘要，讨论了对潜在的开关机制的见解，并回顾了基于卤化钙钛矿的神经形态装置领域的最新发展。