A Reconfigurable Optoelectronic Synaptic Transistor with Stable Zr‐CsPbI₃ Nanocrystals for Visuomorphic Computing

Abstract

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.

75 kbit printed indium oxide (IO)/indium gallium zinc oxide (IGZO) heterojunction photoelectric synaptic transistor arrays for an artificial visual memory system

“…This trend is similar to the response of IO, IGZO, and IO/IGZO photoelectric synaptic transistors to the same UV light pulse stimulus. The decay behaviors were fitted with Kohlrausch stretched-exponential functions: 41 I ( t ) = Δ I × exp [−( t / τ ) β ] + I (0)where I ( t ) represents the EPSC at time t seconds, I (0) is the initial current value, β is the stretch index ranging between 0 and 1, and τ is the decay time constant, which can be used to evaluate the forgetting rate. Fig.…”

Energy-Efficient ReS2-Based Optoelectronic Synapse for 3D Object Reconstruction and Recognition

“…Inspired by the human visual system (HVS) with low redundancy, low latency, high dynamics, and adaptation, a neuromorphic vision system (NVS) based on optoelectronic synapses is being considered to provide an effective path to break through the bottleneck of the conventional artificial vision system (AVS). − Currently, NVSs exhibit powerful visual information preprocessing capabilities, such as image contrast enhancement, , image denoising, , feature extraction, , pattern recognition, − and motion detection, − thereby addressing the main problem of the traditional AVS, which demands vast computing resources to process gigantic redundant data . In situ storage has also been successfully achieved at the sensor end owing to optoelectronic synapses that mimic visual learning and memory, thereby considerably reducing the dependence on system memory. − Moreover, optoelectronic synapses with visual adaptation can actively adjust NVSs to match new visual tasks in varying environments and successfully adapt to bright/dark conditions and various visual angles. − To achieve ultrafast vision, based on the nonlinear photoresponse and positive/negative photoconductive behaviors of optoelectronic synapses, NVSs can handle inputting visual information at the sensors end in real time via reservoir computing − and convolution operation, which can address high transmission delay limitation of the AVS with separated architectures. − …”

In‐Depth Physical Mechanism Analysis of Polymer Artificial Optoelectronic Synapse with High Endurance and Applications of Visual System and Operant Conditioning

“…Until now, a large variety of materials for optoelectronic synapses have been proposed. Compared with most inorganic materials, [5,[13][14][15][16] organic optoelectronic synapses have been widely studied for several reasons, including low-cost and easy processing, tunable performance, and flexibility. [17][18][19][20] In addition, most reported optoelectronic synapses often only study the simulation of synaptic function and visual system by optoelectronic signal modulation.…”

“…[5,21,22] There are only a handful of reports on the endurance and data retention capability of optoelectronic synapses. [15,17,[23][24][25] In particular, organic polymer optoelectronic synapses show limited endurance and poor data retention, hindering the practical use of organic optoelectronic synapses. Furthermore, there is still a lack of in-depth research on the physical mechanism and characterization methods of organic optoelectronic synapses.…”