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
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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
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Spiking Neuron Mathematical Models: A Compact Overview [PDF]
Bioengineering, 2023 The features of the main models of spiking neurons are discussed in this review. We focus on the dynamical behaviors of five paradigmatic spiking neuron models and present recent literature studies on the topic, classifying the contributions based on the
Arturo Buscarino, Luigi Fortuna
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Memristive LIF Spiking Neuron Model and Its Application in Morse Code. [PDF]
Front Neurosci, 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.
Fang X, Liu D, Duan S, Wang L.
europepmc +2 more sources
Artificial optoelectronic spiking neuron based on a resonant tunnelling diode coupled to a vertical cavity surface emitting laser. [PDF]
Nanophotonics, 2023 Excitable optoelectronic devices represent one of the key building blocks for implementation of artificial spiking neurons in neuromorphic (brain-inspired) photonic systems.
Hejda M +11 more
europepmc +2 more sources
Spiking Neuron with Sensing Coil Based on a Volatile Memristor. [PDF]
Sensors (Basel)The 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 ...
Karimov T +5 more
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Emulation of Spiking Response and Spiking Frequency Property in VCSEL-Based Photonic Neuron
IEEE Photonics Journal, 2016 The dynamical response properties of photonic neuron based on vertical-cavity surface emitting lasers (VCSELs) subject to orthogonal polarized optical pulse injection stimuli have been numerically investigated. Based on the well-known spin flip model, we
Shuiying Xiang, Aijun Wen
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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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All optical Q-switched laser based spiking neuron
Frontiers in Physics, 2022 This paper studies theoretically the use of a Q-switch laser with side light injection as a spiking all-optical neuron for photonic spiking neural networks (PSNN). Ordinary differential equations for the multi-section laser are presented, including terms
Keshia Mekemeza-Ona +2 more
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