Retina-Inspired Artificial Optoelectronic Neurons With Broad Spectral Response for Visual Image Pre-Processing

This is the authors' abstract. We don't add key points for this paper.

Inspired by the human retina, the development of neuromorphic vision systems featuring image perception, memory, and processing functions aims to address the limitations of traditional artificial vision systems concerning circuit simplification, device integration, and power consumption. The narrow spectral response of optoelectronic neurons, an important hardware basis for neuromorphic vision systems, limits their application in broad-spectrum artificial visual perception. In this study, we present an artificial optoelectronic neuron that demonstrates broadband sensing capabilities with a response range encompassing ultraviolet, visible, and near-infrared regions. Furthermore, we have designed a 64 × 64 array of optoelectronic neurons capable of effectively simulating the light perception and image pre-processing functions (enhance image contrast), of the retina. This work is important for improving image processing efficiency and realizing neuromorphic vision systems with broadband perception.