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相关论文: Noise-assisted spike propagation in myelinated neu…

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Noisy saltatory spike propagation along myelinated axons is studied within a stochastic Hodgkin-Huxley model. The intrinsic noise (whose strength is inverse proportional to the nodal membrane size) arising from fluctuations of the number of…

生物物理 · 物理学 2010-09-01 Yunyun Li , Gerhard Schmid , Peter Hanggi

This work proposes a two-dimensional electrophysiological model for describing neuronal responses to external electric stimuli under patch-clamped conditions. Our proposed model successfully captures the key features of the Hodgkin-Huxley…

神经元与认知 · 定量生物学 2023-12-13 Lízia Maria Gonçalves Branco , Rui Manuel Agostinho Dilão

Using a stochastic generalization of the Hodgkin–Huxley model, we consider the influence of intrinsic channel noise on the synchronization between the spiking activity of the excitable membrane and an externally applied periodic…

生物物理 · 物理学 2007-05-23 Gerhard Schmid , Igor Goychuk , Peter Hanggi

Neurons are subject to various kinds of noise. In addition to synaptic noise, the stochastic opening and closing of ion channels represents an intrinsic source of noise that affects the signal processing properties of the neuron. In this…

神经元与认知 · 定量生物学 2008-11-14 Yong Chen , Lianchun Yu , Shao-Meng Qin

We theoretically describe how weak signals may be efficiently transmitted throughout more than one frequency range in noisy excitable media by kind of stochastic multiresonance. This serves us here to reinterpret recent experiments in…

数据分析、统计与概率 · 物理学 2015-05-27 J. J. Torres , J. Marro , J. F. Mejias

Here a viable and never before investigated mechanism of propagation of spikes along neurons is proposed. In the following, velocity of propagation of small-amplitude pressure waves through the cytoplasmic interior of myelinated and…

生物物理 · 物理学 2007-05-23 Marat M. Rvachev

We consider a classical space-clamped Hodgkin-Huxley model neuron stimulated by synaptic excitation and inhibition with conductances represented by Ornstein-Uhlenbeck processes. Using numerical solutions of the stochastic model system…

神经元与认知 · 定量生物学 2016-04-19 Henry C. Tuckwell , Susanne Ditlevsen

The effect of intrinsic channel noise is investigated for the dynamic response of a neuronal cell with a delayed feedback loop. The loop is based on the so-called autapse phenomenon in which dendrites establish not only connections to…

生物物理 · 物理学 2014-12-22 Yunyun Li , Gerhard Schmid , Peter Hanggi , Lutz Schimansky-Geier

Neuronal models based on the Hodgkin-Huxley equation form a fundamental framework in the field of computational neuroscience. While the neuronal state is often modeled deterministically, experimental recordings show stochastic fluctuations,…

神经元与认知 · 定量生物学 2018-10-26 Pavol Bauer , Stefan Engblom , Sanja Mikulovic , Aleksandar Senek

The coherence resonance (CR) of globally coupled Hodgkin-Huxley neurons is studied. When the neurons are set in the subthreshold regime near the firing threshold, the additive noise induces limit cycles. The coherence of the system is…

生物物理 · 物理学 2009-10-31 Yuqing Wang , David T. W. Chik , Z. D. Wang

We numerically investigate the influence of intrinsic channel noise on the dynamical response of delay-coupling in neuronal systems. The stochastic dynamics of the spiking is modeled within a stochastic modification of the standard…

生物物理 · 物理学 2013-09-23 Xue Ao , Peter Hanggi , Gerhard Schmid

The random transitions of ion channels between conducting and non-conducting states generate a source of internal fluctuations in a neuron, known as channel noise. The standard method for modeling fluctuations in the states of ion channels…

神经元与认知 · 定量生物学 2011-04-27 Joshua H. Goldwyn , Nikita S. Imennov , Michael Famulare , Eric Shea-Brown

In this work we are interested in a mathematical model of the collective behavior of a fully connected network of finitely many neurons, when their number and when time go to infinity. We assume that every neuron follows a stochastic…

概率论 · 数学 2019-03-08 Mireille Bossy , Joaquin Fontbona , Hector Olivero

Extreme events are rare, large-scale deviations from typical system behavior that can occur in nonlinear dynamical systems. In this study, we explore the emergence of extreme events within a network of identical stochastic Hodgkin-Huxley…

神经元与认知 · 定量生物学 2025-02-28 Bruno R. R. Boaretto , Elbert E. N. Macau , Cristina Masoller

Neurons in the nervous system are submitted to distinct sources of noise, such as ionic-channel and synaptic noise, which introduces variability in their responses to repeated presentations of identical stimuli. This motivates the use of…

We consider signal transaction in a simple neuronal model featuring intrinsic noise. The presence of noise limits the precision of neural responses and impacts the quality of neural signal transduction. We assess the signal transduction…

生物物理 · 物理学 2015-03-17 Michael J. Barber , Manfred L. Ristig

We investigate the regularity of spontaneous spiking activity on Newman-Watts small-world networks consisting of biophysically realistic Hodgkin-Huxley neurons with a tunable intensity of intrinsic noise and fraction of blocked…

生物物理 · 物理学 2009-06-05 Mahmut Ozer , Matjaz Perc , Muhammet Uzuntarla

Responses have been numerically studied of an ensemble of $N$ (=1, 10, and 100) Hodgkin-Huxley (HH) neurons to coherent spike-train inputs applied with independent Poisson spike-train (ST) noise and Gaussian white noise. Three interrelated…

无序系统与神经网络 · 物理学 2007-05-23 Hideo Hasegawa

Serotonergic, noradrenergic and dopaminergic brainstem (including midbrain) neurons, often exhibit spontaneous and fairly regular spiking with frequencies of order a few Hz, though dopaminergic and noradrenergic neurons only exhibit such…

神经元与认知 · 定量生物学 2017-04-18 Henry C. Tuckwell , Ying Zhou , Nicholas J. Penington

By use of a stochastic generalization of the Hodgkin-Huxley model we investigate both the phenomena of stochastic resonance (SR) and coherence resonance (CR) in variable size patches of an excitable cell membrane. Our focus is on the…

生物物理 · 物理学 2007-05-23 G. Schmid , I. Goychuk , P. Hänggi
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