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Recent Progress in Artificial Neurons for Neuromodulation [PDF]
Driven by the rapid advancement and practical implementation of biomaterials, fabrication technologies, and artificial intelligence, artificial neuron devices and systems have emerged as a promising technology for interpreting and transmitting ...
Qinkai Jiang, Mengwei Liu
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Competitive Perceptrons: The Relevance of Modeling New Bioinspired Properties Such as Intrinsic Plasticity, Metaplasticity, and Lateral Inhibition of Rate-Coding Artificial Neurons [PDF]
This article supports the relevance of modeling new bioinspired properties in rate-coding artificial neurons, focusing on fundamental neural properties rarely implemented thus far in artificial neurons, such as intrinsic plasticity, the metaplasticity of
Diego Andina
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Spiking artificial neurons emulate the voltage spikes of biological neurons and constitute the building blocks of a new class of energy efficient, neuromorphic computing systems.
H. Bradley +6 more
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Constructing artificial neurons with functional parameters comprehensively matching biological values [PDF]
The efficient signal processing in biosystems is largely attributed to the powerful constituent unit of a neuron, which encodes and decodes spatiotemporal information using spiking action potentials of ultralow amplitude and energy.
Shuai Fu +8 more
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Unravelling the operation of organic artificial neurons for neuromorphic bioelectronics [PDF]
Organic artificial neurons operating in liquid environments are crucial components in neuromorphic bioelectronics. However, the current understanding of these neurons is limited, hindering their rational design and development for realistic neuronal ...
Pietro Belleri +6 more
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Intelligent artificial olfactory nervous system with sensory adaptation capabilities [PDF]
Accurate gas identification across diverse environments is crucial for the advancement of intelligent artificial olfaction, but remains challenging for conventional data-driven learning approaches.
Gyuweon Jung +11 more
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Highlights Biological fundamentals and recent progress of artificial sensory neurons are systematically reviewed. Basic device, performance metrics, and potential applications of artificial sensory neurons are summarized.
Shuai Zhong +6 more
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Emerging memristive neurons for neuromorphic computing and sensing
Inspired by the principles of the biological nervous system, neuromorphic engineering has brought a promising alternative approach to intelligence computing with high energy efficiency and low consumption.
Zhiyuan Li +4 more
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A novel inhibitable and firing threshold voltage tunable vertical nanowire (NW) single transistor neuron device with core–shell dual-gate (CSDG) was realized and verified by TCAD simulation.
Taegoon Lee, Seung-Bae Jeon, Daewon Kim
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For the first time, a configurable NbOx memristor is achieved that can be configured as an artificial synapse or neuron after fabrication by controlling the forming compliance current (FCC).
Chuan Yu Han +14 more
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