Dynamical response of a neuron–astrocyte coupling system under electromagnetic induction and external stimulation

Spontaneous electromagnetic induction originating from neuronal electrical activity is believed to reflect the memory ability in the neural system and significantly modulates neural information transmission, but its fundamental effect on the neuronal dynamic properties is still not well understood. In this paper, we use a memristor to couple neuronal electrical activity and magnetic fields and study how the spontaneous electromagnetic induction modulates the neuronal dynamical response to external stimulation. It is found that the negative feedback of electromagnetic induction on the neuron significantly reduces the dynamical response range, decreases the oscillation amplitude and induces a higher firing frequency. Meanwhile, the memory effect on electromagnetic induction can induce two kinds of bistability, including the coexistence of a stable limit cycle and a fixed point, and the coexistence of two stable limit cycles. Furthermore, high electric driving for electromagnetic induction produces complex firing patterns with single, double and multiple frequencies. Our results not only further confirm the efficacy of spontaneous electromagnetic induction in modulating the neuronal dynamical properties but also provide insights into the possibilities of choosing suitable parameter spaces in studying the effects of external magnetic induction on brain functions.

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Dynamical Complexity of Magnetic Storms at Swarm Altitudes Using Entropy Measures

10.5194/egusphere-egu2020-4981 ◽

2020 ◽

Author(s):

Constantinos Papadimitriou ◽

Georgios Balasis ◽

Adamantia-Zoe Boutsi ◽

Omiros GIannakis ◽

Anastasios Anastasiadis ◽

...

Keyword(s):

Information Theory ◽

Time Series ◽

Magnetic Storms ◽

Topside Ionosphere ◽

Dynamical Response ◽

Electromagnetic Environment ◽

Dynamical Complexity ◽

Coupling System ◽

Entropy Measures ◽

Earth’S System

<p>Recently, many novel concepts originated in dynamical systems or information theory have been developed, partly motivated by specific research questions linked to geosciences, and found a variety of different applications. This continuously extending toolbox of nonlinear time series analysis highlights the importance of the dynamical complexity to understand the behavior of the complex solar wind &#8211; magnetosphere &#8211; ionosphere - thermosphere coupling system and its components. Here, we propose to apply such new approaches, mainly a series of entropy methods to the time series of the Earth's magnetic field measured by the Swarm constellation. Swarm is an ESA mission launched on November 22, 2013, comprising three satellites at low Earth polar orbits. The mission delivers data that provide new insight into the Earth's system by improving our understanding of the Earth's interior as well as the near-Earth electromagnetic environment. We show successful applications of methods originated in information theory to quantitatively studying complexity in the dynamical response of the topside ionosphere, at Swarm altitudes, focusing on the most intense magnetic storms of the present solar cycle.</p>

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The Electrical Activity of Neurons Subject to Electromagnetic Induction and Gaussian White Noise

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127417500304 ◽

2017 ◽

Vol 27 (02) ◽

pp. 1750030 ◽

Cited By ~ 79

Author(s):

Ya Wang ◽

Jun Ma ◽

Ying Xu ◽

Fuqiang Wu ◽

Ping Zhou

Keyword(s):

Electromagnetic Induction ◽

Gaussian White Noise ◽

Theoretical Models ◽

Ion Concentration ◽

Dynamical Response ◽

Induced Current ◽

Neuron Models ◽

Electrical Stimuli ◽

Electrical Activities ◽

Channel Currents

Neurons can give appropriate response to external electrical stimuli and the modes in electrical activities can be carefully selected. Most of the neuron models mainly emphasize on the ion channel currents embedded into the membrane and the properties in electrical activities can be produced in the theoretical models. Indeed, some physical effect should be considered during the model setting for neuronal activities. In fact, induced current and the electrical field will cause the membrane potential to change and an exchange of charged ions during the fluctuation of ion concentration in cell. As a result, the effect of electromagnetic induction should be seriously considered. In this paper, magnetic flux is proposed to describe the effect of electromagnetic field, and the memristor is used to realize coupling on membrane by inputting induced current based on consensus of physical unit. Noise is also considered to detect the dynamical response in electrical activities and stochastic resonance, it is found that multiple modes can be selected in the electrical activities and it could be associated with memory effect and self-adaption in neurons.

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Dynamical Complexity of the 2015 St. Patrick’s Day Magnetic Storm at Swarm Altitudes Using Entropy Measures

Entropy ◽

10.3390/e22050574 ◽

2020 ◽

Vol 22 (5) ◽

pp. 574 ◽

Cited By ~ 1

Author(s):

Constantinos Papadimitriou ◽

Georgios Balasis ◽

Adamantia Zoe Boutsi ◽

Ioannis A. Daglis ◽

Omiros Giannakis ◽

...

Keyword(s):

Time Series ◽

Magnetic Storm ◽

Low Earth Orbit ◽

Topside Ionosphere ◽

Dynamical Response ◽

Satellite Mission ◽

Dynamical Complexity ◽

Coupling System ◽

Entropy Measures ◽

Cycle 24

The continuously expanding toolbox of nonlinear time series analysis techniques has recently highlighted the importance of dynamical complexity to understand the behavior of the complex solar wind–magnetosphere–ionosphere–thermosphere coupling system and its components. Here, we apply new such approaches, mainly a series of entropy methods to the time series of the Earth’s magnetic field measured by the Swarm constellation. We show successful applications of methods, originated from information theory, to quantitatively study complexity in the dynamical response of the topside ionosphere, at Swarm altitudes, focusing on the most intense magnetic storm of solar cycle 24, that is, the St. Patrick’s Day storm, which occurred in March 2015. These entropy measures are utilized for the first time to analyze data from a low-Earth orbit (LEO) satellite mission flying in the topside ionosphere. These approaches may hold great potential for improved space weather nowcasts and forecasts.

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Dynamical Response of Electrical Activities in Digital Neuron Circuit Driven by Autapse

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127417501875 ◽

2017 ◽

Vol 27 (12) ◽

pp. 1750187 ◽

Cited By ~ 33

Author(s):

Guodong Ren ◽

Ping Zhou ◽

Jun Ma ◽

Ning Cai ◽

Ahmed Alsaedi ◽

...

Keyword(s):

Electromagnetic Induction ◽

Numerical Scheme ◽

Neuron Model ◽

Biological Function ◽

Digital Circuit ◽

Dynamical Analysis ◽

Dynamical Response ◽

Neuron Models ◽

Model Driven ◽

Electrical Activities

Neuron models are available for computational neurodynamics and the main dynamical properties can be reproduced in the numerical scheme for further dynamical analysis. During model setting, some important biophysical factors should be considered and thus reliable neuron models can be approached. In this paper, a neuron model driven by autapse connection is investigated with the effect of electromagnetic induction being considered as well. A digital neuronal circuit is designed by using FPGA, the dynamical response and biological function of autapse connection. It is found that positive feedback in autapse can modulate the oscillating behaviors in the digital circuit, which could be effective for further investigation on digital neuronal network.

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Dynamical response of an excitatory-inhibitory neural network to external stimulation: An application to image segmentation

Physical Review E ◽

10.1103/physreve.65.046112 ◽

2002 ◽

Vol 65 (4) ◽

Cited By ~ 2

Author(s):

Sitabhra Sinha ◽

Jayanta Basak

Keyword(s):

Neural Network ◽

Image Segmentation ◽

Dynamical Response ◽

External Stimulation

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Ultrastructural Localization of Acid Mucosubstance in Skeletal Muscle

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100060271 ◽

1967 ◽

Vol 25 ◽

pp. 52-53 ◽

Cited By ~ 2

Author(s):

William J. Dougherty ◽

Samuel S. Spicer

Keyword(s):

Striated Muscle ◽

Divalent Cations ◽

Ultrastructural Localization ◽

Major Elements ◽

Frozen Sections ◽

Thorium Dioxide ◽

Iron Solution ◽

Coupling System ◽

Psoas Muscles ◽

Formalin Fixed

In recent years, considerable attention has focused on the morphological nature of the excitation-contraction coupling system of striated muscle. Since the study of Porter and Palade, it has become evident that the sarcoplastic reticulum (SR) and transverse tubules constitute the major elements of this system. The problem still exists, however, of determining the mechamisms by which the signal to interdigitate is presented to the thick and thin myofilaments. This problem appears to center on the movement of Ca++ions between myofilaments and SR. Recently, Philpott and Goldstein reported acid mucosubstance associated with the SR of fish branchial muscle using the colloidal thorium dioxide technique, and suggested that this material may serve to bind or release divalent cations such as Ca++. In the present study, Hale's iron solution adapted to electron microscopy was applied to formalin-fixed myofibrils isolated from glycerol-extracted rabbit psoas muscles and to frozen sections of formalin-fixed rat psoas muscles.

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