Memristive Izhikevich Spiking Neuron Model and Its Application in Oscillatory Associative Memory [PDF]
Frontiers in Neuroscience, 2022 The Izhikevich (IZH) spiking neuron model can display spiking and bursting behaviors of neurons. Based on the switching property and bio-plausibility of the memristor, the memristive Izhikevich (MIZH) spiking neuron model is built.
Shukai Duan, Lidan Wang, Wang Lidan
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Memristive Hodgkin-Huxley Spiking Neuron Model for Reproducing Neuron Behaviors [PDF]
Frontiers in Neuroscience, 2021 The Hodgkin-Huxley (HH) spiking neuron model reproduces the dynamic characteristics of the neuron by mimicking the action potential, ionic channels, and spiking behaviors. The memristor is a nonlinear device with variable resistance.
Shukai Duan, Lidan Wang, Wang Lidan
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Memristive LIF Spiking Neuron Model and Its Application in Morse Code [PDF]
Frontiers in Neuroscience, 2022 The leaky integrate-and-fire (LIF) spiking model can successively mimic the firing patterns and information propagation of a biological neuron. It has been applied in neural networks, cognitive computing, and brain-inspired computing.
Xiaoyan Fang +3 more
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Artificial optoelectronic spiking neuron based on a resonant tunnelling diode coupled to a vertical cavity surface emitting laser [PDF]
Nanophotonics, 2022 Excitable optoelectronic devices represent one of the key building blocks for implementation of artificial spiking neurons in neuromorphic (brain-inspired) photonic systems.
Hejda Matěj +11 more
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An artificial spiking quantum neuron [PDF]
npj Quantum Information, 2021 Artificial spiking neural networks have found applications in areas where the temporal nature of activation offers an advantage, such as time series prediction and signal processing.
Lasse Bjørn Kristensen +4 more
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Spiking Neuron with Sensing Coil Based on a Volatile Memristor [PDF]
SensorsThe convergence of sensing and processing is a critical frontier in the development of energy-efficient spiking edge intelligence. This paper presents a novel hardware implementation of a sensory neuron evolving from the leaky integrate-and-fire (LIF ...
Timur Karimov +5 more
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Spiking Neuron Mathematical Models: A Compact Overview [PDF]
Bioengineering, 2023 Arturo Buscarino +2 more
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A memristive spiking neuron with firing rate coding [PDF]
Frontiers in Neuroscience, 2015 Perception, decisions, and sensations are all encoded into trains of action potentials in the brain. The relation between stimulus strength and all-or-nothing spiking of neurons is widely believed to be the basis of this coding.
Marina eIgnatov +4 more
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Modeling and simulation of coupled CBEM spiking neuron model
Xi'an Gongcheng Daxue xuebao, 2021 The CBEM spiking neuron model establishes a new connection between the statistics of neural coding and the biophysical model. In order to narrow the gap between the CBEM model and the biophysical model, a coupled CBEM spike neuron model is proposed.
Jiaying ZHANG, Xingshi HE, Qinglin YU
doaj +1 more source
Integrating Non-spiking Interneurons in Spiking Neural Networks
Frontiers in Neuroscience, 2021 Researchers working with neural networks have historically focused on either non-spiking neurons tractable for running on computers or more biologically plausible spiking neurons typically requiring special hardware.
Beck Strohmer +3 more
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