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Spin wave based synapse and neuron for ultra low power neuromorphic computation system
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2016In this work, we have proposed that the neural synapses and neurons can be realized by utilizing spin waves (SWs) as information carrier. The SWs is excited by spin torque nano-oscillator (STNO), and detected with several different physical mechanisms: 1) tunneling magnetic-resistance 2) spin pumping and 3) inverse spin hall effect.
Lang Zeng +7 more
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Plasma‐Engineered AlGaN/GaN Optoelectronic Synapses for Low‐Power Neuromorphic Computing
Advanced Optical MaterialsAbstractThe development of hardware‐level synaptic systems is crucial for enabling the advancement of modern humanoid robotics and artificial intelligence systems to emulate biological vision. While optoelectronic synapses offer a promising solution, current implementations often require complex multi‐material integration and floating gate ...
Yuliang Zhang +7 more
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Small, 2019
AbstractMemristors with nonvolatile memory characteristics have been expected to open a new era for neuromorphic computing and digital logic. However, existing memristor devices based on oxygen vacancy or metal‐ion conductive filament mechanisms generally have large operating currents, which are difficult to meet low‐power consumption requirements ...
Xiaobing Yan +17 more
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AbstractMemristors with nonvolatile memory characteristics have been expected to open a new era for neuromorphic computing and digital logic. However, existing memristor devices based on oxygen vacancy or metal‐ion conductive filament mechanisms generally have large operating currents, which are difficult to meet low‐power consumption requirements ...
Xiaobing Yan +17 more
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CMOS Compatible Low Power Consumption Ferroelectric Synapse for Neuromorphic Computing
IEEE Electron Device Letters, 2023Zhenhai Li +10 more
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Advanced Ultra Low-Power Deep Learning Applications with Neuromorphic Computing
2023 IEEE High Performance Extreme Computing Conference (HPEC), 2023Mark Barnell +6 more
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Low-power Analog In-memory Computing Neuromorphic Circuits
2023Roland Müller +4 more
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Mimicking Synaptic Behaviors with Junctionless Transistor for Low Power Neuromorphic Computing
2022 IEEE International Conference on Emerging Electronics (ICEE), 2022Md. Hasan Raza Ansari +2 more
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Molecular imaging in oncology: Current impact and future directions
Ca-A Cancer Journal for Clinicians, 2022Steven P Rowe, Martin G Pomper
exaly
MESO Neuron: A Low-Power and Ultrafast Spin Neuron for Neuromorphic Computing
IEEE Magnetics Letters, 2022Junwei Zeng +6 more
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Dynamical memristors for higher-complexity neuromorphic computing
Nature Reviews Materials, 2022Suhas Kumar +2 more
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