A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems

TLDR

Neuromorphic vision systems that emulate the human eye must combine flexibility, high integration, and ultra‑sensitivity while remaining computationally efficient and elegant. This work introduces a 1024‑pixel flexible optoelectronic sensor array designed for efficient neuromorphic vision. The array employs carbon‑nanotube and perovskite quantum‑dot active layers to achieve high performance. It achieves a responsivity of 5.1 × 10⁷ A/W, a detectivity of 2 × 10¹⁶ Jones, and supports neuromorphic reinforcement learning with a 1 μW cm⁻² light pulse.

Abstract

Abstract The challenges of developing neuromorphic vision systems inspired by the human eye come not only from how to recreate the flexibility, sophistication, and adaptability of animal systems, but also how to do so with computational efficiency and elegance. Similar to biological systems, these neuromorphic circuits integrate functions of image sensing, memory and processing into the device, and process continuous analog brightness signal in real-time. High-integration, flexibility and ultra-sensitivity are essential for practical artificial vision systems that attempt to emulate biological processing. Here, we present a flexible optoelectronic sensor array of 1024 pixels using a combination of carbon nanotubes and perovskite quantum dots as active materials for an efficient neuromorphic vision system. The device has an extraordinary sensitivity to light with a responsivity of 5.1 × 10 7 A/W and a specific detectivity of 2 × 10 16 Jones, and demonstrates neuromorphic reinforcement learning by training the sensor array with a weak light pulse of 1 μW/cm 2 .