journal article·2023-02Open access

Multimodal‐Synergistic‐Modulation Neuromorphic Imaging Systems for Simulating Dry Eye Imaging (Small 8/2023)

Xu Han, Xiaoli Zhao, Tao Zeng, Yahan Yang, Hongyan Yu, Cong Zhang, Bin Wang, Xiaoqian Liu, Tao Zhang, Jing Sun, Xinyuan Li, Tuo Zhao, Mingxin Zhang, Yanping Ni, Yanhong Tong, Qingxin Tang, Yichun Liu

Small· Volume 19· Issue 8

Abstract

Neuromorphic Imaging Systems In article number 2206181, Xiaoli Zhao, Qingxin Tang, and co-workers present a multimodal-synergistic-modulation neuromorphic imaging systems based on ultraflexible synaptic transistors. The device is capable to simulate the spherical structure and the environmental adaptive behavior of the human eye. Based on the function that synaptic weight can be synergistically regulated through optical, electrical and humidity stimulation, the dry eye imaging behavior is successfully realized at the device level.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: CCD and CMOS Imaging Sensors · Advanced Memory and Neural Computing · Photoreceptor and optogenetics research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Advanced Optoelectronic Functional Materials Research, and Key Lab of UV‐Emitting Materials and Technology of Ministry of Education Northeast Normal University 5268 Renmin Street Changchun 130024 China

Department of Materials Science and Engineering National University of Singapore Singapore 117575 Singapore

References

Reference metadata was not supplied for this record.