Artificial Vision Adaptation Based on Optoelectronic Neuromorphic Transistors

Abstract

Adaptation is essential for the life activities of organisms. Simulating biological visual adaptation behavior is still a serious challenge in the development of artificial visual perception systems. Here, an organic artificial optoelectronic neuromorphic device is presented, which has a memory window greater than 20V, multi-level storage characteristics and reliable retention characteristics. Furthermore, the simulation of human brain synaptic behaviors, such as paired-pulse facilitation (PPF), transition from short-term memory (STM) to long-term memory (LTM), and learning behaviors, are achieved through optical modulation. Importantly, by coupling optical excitation and electrical modulation, the device successfully mimics the biological visual adaptation function. The proposed device provides a new avenue for the creation of artificial visual perception systems with important implications for the development of neuromorphic electronics.