Piecewise quadratic neuron model: A tool for close-to-biology spiking neuronal network simulation on dedicated hardware [PDF]
Frontiers in Neuroscience, 2023 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
Takuya Nanami, Takashi Kohno
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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.
Haroon Anwar +12 more
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Compensation of hyperexcitability with simulation-based inference [PDF]
eLifeThe activity of healthy neuronal networks is tightly regulated, and a shift toward hyperexcitability can cause various problems, such as epilepsies, memory deficits, and motor disorders.
Daniel Müller-Komorowska, Tomoki Fukai
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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 ...
Huiyan eLi, Xiaojuan eSun, Jinghua eXiao
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A lightweight data-driven spiking neuronal network model of Drosophila olfactory nervous system with dedicated hardware support [PDF]
Frontiers in NeuroscienceData-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.
Takuya Nanami +7 more
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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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Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes
Mathematics, 2023 The mathematical model of the spiking neural network (SNN) supplied by astrocytes is investigated. The astrocytes are a specific type of brain cells which are not electrically excitable but induce chemical modulations of neuronal firing.
Sergey V. Stasenko, Victor B. Kazantsev
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Micromachines, 2023 The complex synaptic connectivity architecture of neuronal networks underlies cognition and brain function. However, studying the spiking activity propagation and processing in heterogeneous networks in vivo poses significant challenges.
Yana Pigareva +7 more
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