
Neuron‐Inspired Time‐of‐Flight Sensing via Spike‐Timing‐Dependent Plasticity of Artificial Synapses
Author(s) -
Park Minseong,
Yuan Yuan,
Baek Yongmin,
Jones Andrew H.,
Lin Nicholas,
Lee Doeon,
Lee Hee Sung,
Kim Sihwan,
Campbell Joe C.,
Lee Kyusang
Publication year - 2022
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202270009
Subject(s) - ranging , spike (software development) , computer science , neuron , spike timing dependent plasticity , lidar , time of flight , artificial intelligence , neuroscience , computer vision , remote sensing , synaptic plasticity , psychology , physics , biology , geology , telecommunications , optics , biochemistry , receptor , software engineering
Time‐of‐Flight Sensing In article number 2100159 , Kyusang Lee and co‐workers demonstrate a neuron‐like resistive timeof‐flight sensor method for 3D sensing, with implications in light‐detection and ranging (LiDAR),automotive vehicles, biomedical in vivo imaging, and augmented/virtual reality.