Neuron‐Inspired Time‐of‐Flight Sensing via Spike‐Timing‐Dependent Plasticity of Artificial Synapses | Zendy

Park Minseong | Zendy; Yuan Yuan | Zendy; Baek Yongmin | Zendy; Jones Andrew H. | Zendy; Lin Nicholas | Zendy; Lee Doeon | Zendy; Lee Hee Sung | Zendy; Kim Sihwan | Zendy; Campbell Joe C. | Zendy; Lee Kyusang | Zendy

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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.

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