Visual adaptive neuromorphic devices and artificial vision applications

Information is acquired by humans in dynamically changing environments, with vision acting as the pathway for 80% of information intake. As the core of the visual system, the adaptive mechanism enables humans to flexibly respond to complex and variable lighting conditions. In recent years, biological adaptive mechanisms such as light/dark and chromatic adaptation have been the focus of neuromorphic devices inspired by the visual pathway, intending to overcome static perception limitations and build artificial vision systems capable of dynamic environmental adaptation. This paper systematically reviews the material systems and biomimetic mechanisms of visual adaptive neuromorphic devices. The optoelectronic and memory performances of devices are discussed to provide references for achieving efficient adaptive functions. In addition, application scenarios of artificial vision based on visual adaptive neuromorphic devices are summarized, and their prospects and challenges are deeply explored to offer insights for developing high-performance biomimetic vision-adaptive devices.