The main goal of the field of neuromorphic electronics is to develop novel microelectronic components that emulate the memory and computing functionalities of the biological synapse. As a three-terminal device,...

Reconfigurable phototransistor memory attracts considerable attention for adaptive visuomorphic computing, with highly efficient sensing, memory, and processing functions integrated onto a single device. However, developing reconfigurable phototransistor memory remains a challenge due to the lack of an all‐optically controlled transition between short‐term plasticity (STP) and long‐term plasticity (LTP). Herein, an air‐stable Zr‐CsPbI3 perovskite nanocrystal (PNC)‐based phototransistor memory is designed, which is capable of broadband photoresponses. Benefitting from the different electron capture ability of Zr‐CsPbI3 PNCs to 650 and 405 nm light, an artificial synapse and non‐volatile memory can be created on‐demand and quickly reconfigured within a single device for specific purposes. Owing to the optically reconfigurable and wavelength‐aware operation between STP and LTP modes, the integrated blue feature extraction and target recognition can be demonstrated in a homogeneous neuromorphic vision sensor array. This work suggests a new way in developing perovskite optoelectronic transistors for highly efficient in‐sensor computing.

Synaptic Transistors In article 2208497, Haifeng Ling, Linghai Xie, Wei Huang, and co‐workers propose a wavelength‐aware reconfigurable synaptic transistor for visuomorphic computing. Based on the broadband absorption of Zr‐CsPbI3 perovskite nanocrystals, reconfigurability between short‐term plasticity and long‐term plasticity for the device is realized. A vision sensor array is constructed to simulate image pre‐processing and recognition with a homogeneous architecture.