Effects of tapering geometry and inhomogeneous ion channel distribution in a neuron model

Estimation of ion channel parameters is crucial to spike initiation of neurons. The biophysical neuron models have numerous ion channel parameters, but only a few of them play key roles in the firing patterns of the models. So we choose three parameters featuring the adaptation in the Ermentrout neuron model to be estimated. However, the traditional particle swarm optimization (PSO) algorithm is still easy to fall into local optimum and has the premature convergence phenomenon in the study of some problems. In this paper, we propose an improved method that uses a concave function and dynamic logistic chaotic mapping mixed to adjust the inertia weights of the fitness value, effectively improve the global convergence ability of the algorithm. The perfect predicting firing trajectories of the rebuilt model using the estimated parameters prove that only estimating a few important ion channel parameters can establish the model well and the proposed algorithm is effective. Estimations using two classic PSO algorithms are also compared to the improved PSO to verify that the algorithm proposed in this paper can avoid local optimum and quickly converge to the optimal value. The results provide important theoretical foundations for building biologically realistic neuron models.

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Regulation of Ion Channel Distribution at Synapses

Annual Review of Neuroscience ◽

10.1146/annurev.ne.16.030193.002023 ◽

1993 ◽

Vol 16 (1) ◽

pp. 347-368 ◽

Cited By ~ 113

Author(s):

S C Froehner

Keyword(s):

Ion Channel ◽

Channel Distribution

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Myrsinane and related diterpenes from Euphorbia falcata with selective potassium ion channel activity

Planta Medica ◽

10.1055/s-0035-1565539 ◽

2015 ◽

Vol 81 (16) ◽

Author(s):

A Vasas ◽

P Orvos ◽

L Tálosi ◽

P Forgo ◽

G Pinke ◽

...

Keyword(s):

Ion Channel ◽

Potassium Ion ◽

Channel Activity ◽

Potassium Ion Channel

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Ion channel alterations and epilepsy in mice and man

Neuropediatrics ◽

10.1055/s-2005-867952 ◽

2005 ◽

Vol 36 (02) ◽

Author(s):

CM Becker ◽

J Brill ◽

K Becker

Keyword(s):

Ion Channel

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Low Capacity Implementation of a Pulse-Type Chaotic Neuron Model

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.136.1424 ◽

2016 ◽

Vol 136 (10) ◽

pp. 1424-1430 ◽

Cited By ~ 2

Author(s):

Yoshiki Sasaki ◽

Katsutoshi Saeki ◽

Yoshifumi Sekine

Keyword(s):

Neuron Model ◽

Pulse Type ◽

Chaotic Neuron

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Ion Channel Remodelling in Atrial Fibrillation

European Cardiology Review ◽

10.15420/ecr.2011.7.2.97 ◽

2011 ◽

Vol 7 (2) ◽

pp. 97 ◽

Cited By ~ 6

Author(s):

Niels Voigt ◽

Dobromir Dobrev ◽

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Keyword(s):

Atrial Fibrillation ◽

Ion Channel ◽

Antiarrhythmic Drugs ◽

Current Knowledge ◽

Bleeding Complications ◽

Large Size ◽

Cardiovascular Morbidity And Mortality ◽

Number Of Patients ◽

Life Threatening ◽

Underlying Mechanisms

Atrial fibrillation (AF) is the most common arrhythmia and is associated with substantial cardiovascular morbidity and mortality, with stroke being the most critical complication. Present drugs used for the therapy of AF (antiarrhythmics and anticoagulants) have major limitations, including incomplete efficacy, risks of life-threatening proarrhythmic events and bleeding complications. Non-pharmacological ablation procedures are efficient and apparently safe, but the very large size of the patient population allows ablation treatment of only a small number of patients. These limitations largely result from limited knowledge about the underlying mechanisms of AF and there is a hope that a better understanding of the molecular basis of AF may lead to the discovery of safer and more effective therapeutic targets. This article reviews the current knowledge about AF-related ion-channel remodelling and discusses how these alterations might affect the efficacy of antiarrhythmic drugs.

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