Results 11 to 20 of about 75,067 (283)
Spiking Neuron Mathematical Models: A Compact Overview. [PDF]
Bioengineering (Basel), 2023 Fortuna L, Buscarino A.
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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
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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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Progress and Benchmark of Spiking Neuron Devices and Circuits
Advanced Intelligent Systems, 2021 The sustainability of ever more sophisticated artificial intelligence relies on the continual development of highly energy‐efficient and compact computing hardware that mimics the biological neural networks.
Fu-Xiang Liang +2 more
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IEEE Access, 2021 In this first of two closely related papers, we set the foundation for a new framework, called Response Surfaces (RSs), to address fundamental problems of analyzing, designing, and visualizing spiking neurons and networks.
Fatemeh Koohestan-Mahalian +3 more
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Compartmental spiking neuron model CSNM [PDF]
Известия высших учебных заведений: Прикладная нелинейная динамика, 2022 The purpose of this work is to develop a compartment spiking neuron model as an element of growing neural networks. Methods. As part of the work, the CSNM is compared with the Leaky Integrate-and-Fire model by comparing the reactions of point models to a
Bakhshiev, Aleksandr Valeryevich +1 more
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Glutamate Gated Spiking Neuron Model [PDF]
Annals of Neurosciences, 2014 Biological neuron models mainly analyze the behavior of neural networks. Neurons are described in terms of firing rates viz an analog signal.The Izhikevich neuron model is an efficient, powerful model of spiking neuron. This model is a reduction of Hodgkin-Huxley model to a two variable system and is capable of producing rich firing patterns for many ...
Deka, Krisha M, Roy, Soumik
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Self-Reset Schemes for Magnetic Domain Wall-Based Neuron
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2022 Spintronic artificial spiking neurons are promising due to their ability to closely mimic the leaky integrate-and-fire (LIF) dynamics of the biological LIF spiking neuron. However, the neuron needs to be reset after firing.
Debasis Das, Xuanyao Fong
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Transfer Learning Algorithm and Software Framework Based on Spiking Neuron Network [PDF]
Jisuanji gongcheng, 2020 Spiking Neuron Network(SNN) uses spike sequence for data processing,so it has the excellent characteristic of low power consumption.However,due to the immaturity of learning algorithm,the multilayer network training has difficulty in convergence ...
SHANG Yingjie, DONG Liya, HE Hu
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