Near-Infrared Response Organic Synaptic Transistor\nfor Dynamic Trace Extraction

The\ndevelopment of neuromorphic hardware capable of detecting and\nrecognizing moving targets through an in-sensor computing strategy\nis considered to be an important component of the construction of\nedge computing systems with distributed computation. In addition to\nresponsiveness to visible light, the implementation of neuromorphic\nhardware should also demonstrate the ability to sense and process\nnonvisible light, which is essential for tracking target object trajectories\nin specialized environments. In this work, we fabricated an organic\nsynaptic transistor with a near-infrared (NIR) response by incorporating\ndoped LaF<sub>3</sub>: Yb/Ho upconversion quantum dots (UCQDs) into\nthe channel of a Poly3-hexylthiophene (P3HT)-based organic field effect\ntransistor (FET), serving as charge trapping and infrared sensing\nsites. The obtained synaptic transistor not only replicates common\nsynaptic behaviors when exposed to NIR illumination but also demonstrates\npotential applications for the dynamic trajectory recognition of animals\nin the dark. Compared to other monitoring technologies, P3HT transistors\ndoped with LaF<sub>3</sub>: Yb/Ho UCQDs exhibit distinct advantages,\nincluding a NIR response, high-efficiency computing, and sensitivity,\nwhich provide an experimental foundation and a design reference for\nthe development of next-generation intelligent dynamic image recognition\nsystems.