A Self-Powered Synaptic Device Based on InGaO Nanowires for Humanoid Robot Learning

Inspired by the human brain, self-powered synaptic devices hold substantial promise in the fields of storage, learning, and computation, hence qualifying as indispensable constituents for building neuromorphic computing systems. In this work, a self-powered synaptic device based on InGaO nanowires i...

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書誌詳細
第一著者:	Rui Xu (158313) (author)
その他の著者:	Junyi Li (430046) (author), Tianxiang Wang (8554638) (author), Yilin Shen (550025) (author), Liubin Yang (5146184) (author), Yiping Shi (17759199) (author), Linrui Cheng (22338934) (author), Jianya Zhang (9460377) (author), Yukun Zhao (6116063) (author)
出版事項:	2025
主題:	Neuroscience Physiology Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified pulse facilitation index photogenerated carriers correspond neuromorphic computing technologies effective image denoising control commands coming artificial neural network based synaptic devices spike timing plasticity powered memristor synapse excellent learning performance synaptic device displays memristor synapse shows humanoid intelligent robot memory learning ability synaptic device humanoid robot spike promotion powered conditions intelligent robotics robust learning ultrahigh paired successful manipulation postsynaptic membranes ingao nanowires indispensable constituents human brain hence qualifying great potential fresh avenue deep ultraviolet corresponding actions cognitive potential biological synapses application potential also opens action potentials 185 %,
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A Self-Powered Synaptic Device Based on InGaO Nanowires for Humanoid Robot Learning

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