Piecewise quadratic neuron model: A tool for close-to-biology spiking neuronal network simulation on dedicated hardware. [PDF]
Front Neurosci, 2022 Spiking neuron models simulate neuronal activities and allow us to analyze and reproduce the information processing of the nervous system. However, ionic-conductance models, which can faithfully reproduce neuronal activities, require a huge computational
Nanami T, Kohno T.
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Training a spiking neuronal network model of visual-motor cortex to play a virtual racket-ball game using reinforcement learning. [PDF]
PLoS One, 2022 Recent models of spiking neuronal networks have been trained to perform behaviors in static environments using a variety of learning rules, with varying degrees of biological realism.
Anwar H +12 more
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Effects of internal noise on the spiking regularity of a clustered Hodgkin-Huxley neuronal network
Theoretical and Applied Mechanics Letters, 2014 Spiking regularity in a clustered Hodgkin–Huxley (HH) neuronal network has been studied in this letter. A stochastic HH neuronal model with channel blocks has been applied as local neuronal model.
Xiaojuan Sun
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Frontiers in Computational Neuroscience, 2015 In this paper, we investigate how clustering factors influent spiking regularity of the neuronal network of subnetworks. In order to do so, we fix the averaged coupling probability and the averaged coupling strength, and take the cluster number M, the ...
Jinghua Xiao, Xiaojuan Sun, Huiyan Li
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A lightweight data-driven spiking neuronal network model of Drosophila olfactory nervous system with dedicated hardware support. [PDF]
Front NeurosciData-driven spiking neuronal network (SNN) models enable in-silico analysis of the nervous system at the cellular and synaptic level. Therefore, they are a key tool for elucidating the information processing principles of the brain.
Nanami T +5 more
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Linear Response of General Observables in Spiking Neuronal Network Models. [PDF]
Entropy (Basel), 2021 Cessac B, Ampuero I, Cofré R.
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Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. [PDF]
Front Neuroinform, 2018 Jordan J +7 more
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Mechanisms of Winner-Take-All and Group Selection in Neuronal Spiking Networks
Frontiers in Computational Neuroscience, 2017 A major function of central nervous systems is to discriminate different categories or types of sensory input. Neuronal networks accomplish such tasks by learning different sensory maps at several stages of neural hierarchy, such that different neurons ...
Yanqing Chen
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Memristive Izhikevich Spiking Neuron Model and Its Application in Oscillatory Associative Memory
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.
Xiaoyan Fang, Shukai Duan, Lidan Wang
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Partial coupling delay induced multiple spatiotemporal orders in a modular neuronal network. [PDF]
PLoS ONE, 2017 The influence of partial coupling delay on the spatiotemporal spiking dynamics is explored in a modular neuronal network. The modular neuronal network is composed of two subnetworks which present the small-world property and scale-free property ...
XiaoLi Yang, HuiDan Li, ZhongKui Sun
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