Curved neuromorphic image sensor array using a MoS₂-organic heterostructure inspired by the human visual recognition system.

ABSTRACT: Conventional imaging and recognition systems require an extensive amount of data storage, pre-processing, and chip-to-chip communications as well as aberration-proof light focusing with multiple lenses for recognizing an object from massive optical inputs. This is because separate chips (i.e., flat image sensor array, memory device, and CPU) in conjunction with complicated optics should capture, store, and process massive image information independently. In contrast, human vision employs a highly efficient imaging and recognition process. Here, inspired by the human visual recognition system, we present a novel imaging device for efficient image acquisition and data pre-processing by conferring the neuromorphic data processing function on a curved image sensor array. The curved neuromorphi

SUBMITTER: Choi C 

PROVIDER: S-EPMC7683533 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature