Effect of temperature on synchronization of scale-free neuronal network

Wu, Yong; Ding, Qianming; Li, Tianyu; Yu, Dong; Jia, Ya

doi:10.1007/s11071-022-07967-6

Cited by 41 publications

(3 citation statements)

References 75 publications

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“…The effects of external factors on individual nodes [9][10][11] and multiple networks [12][13][14][15] have been widely discussed. Similarly the role of external influences such as electromagnetic induction on the dynamics of spiral waveshas been focused on [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Control of spiral waves in myocardial tissue by optogenetics and temperature

Hu,

Ding,

et al. 2024

Preprint

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Optogenetics as an emerging technology can eliminate spiral waves in myocardial tissue. The heat generated during illumination of myocardial tissue is an overlooked influence. Even small fluctuations in temperature may affect the action potentials of cardiomyocyte. In this paper, a minimal ventricular model and a simplified model of optogenetics are employed to study the effects of heat generation by illumination on elimination of spiral waves. The Luo-Rudy model and Channelrhodospin-2 light-sensitive ion channel model are used to validate our conclusions. Weinduce drift of spiral waves through inhomogeneities generated by discrete gradients of illumination. The inhomogeneity of temperature caused by gradient illumination can inhibit the elimination of spiral waves. Spiral waves in the myocardial medium can be induced to drift more efficiently by controlling temperature changes in the myocardial medium during illumination. We emphasized the importance of temperature factors in optogenetic experiments, hoping that our results could provide guidance for its clinical applications.

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Section: Introductionmentioning

confidence: 99%

Control of spiral waves in myocardial tissue by optogenetics and temperature

Hu,

Ding,

et al. 2024

Preprint

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“…Neurons can also be affected by external stimuli, such as temperature [31], noise [32], or electromagnetic changes [33]. The neuron model should be added with a memristor to study the effect of electrical changes on magnetic flux.…”

Section: Introductionmentioning

confidence: 99%

Dynamical Analysis and Synchronization of a New Memristive Chialvo Neuron Model

Vivekanandhan

Natiq²,

Merrikhi

et al. 2023

Electronics

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Chialvo is one of the two-dimensional map-based neural models. In this paper, a memristor is added to this model to consider the electromagnetic induction’s effects. The memristor is defined based on a hyperbolic tangent function. The dynamical variations are analyzed by obtaining the bifurcation diagrams and Lyapunov spectra. It is shown that the most effective parameters on the dynamics are the magnetic strength and the injected current. The memristive Chialvo can exhibit different neural behaviors. It is also proven that, like the primary Chialvo model, the memristive version has coexisting attractors; an oscillating state coexists with a fixed point. In addition, to understand how memristive neurons behave in a network, two memristive Chialvo models are coupled with electrochemical synapses. By connecting two neurons and calculating the synchronization error, we can determine the system’s synchronizability. It is indicated that the electrical coupling is essential for the occurrence of complete synchronization in the network of memristive Chialvo, and the sole chemical coupling does not lead to synchronization.

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“…In nature, there are a lot of realizations of self-propelled particles ranging from bacteria to artificial colloidal microswimmers. Self-propelled particles performing directed motion, are rather different from traditional inert particles which are dominated only by thermal fluctuations [13][14][15][16][17][18][19][20][21][22][23]. Self-propelled particles have been widely found and studied in biological systems.…”

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confidence: 99%

Behavior of a chain of coupled self-propelled particles with two-dimensional potential and noise

Wang,

Cheng

2024

EPL

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Behavior of an elastic chain of coupled self-propelled particles in a two-dimensional potential with Gaussian colored noise is investigated. The channel and colored noise regulates the directed transport of the system. The chain of particles changes the moving direction with increasing modulation constant of potential. The average velocity of the chain appears periodic fluctuation with increasing phase shift of the potential. Strong coupling between particles inhibits the directed transport speed of the system. Large translation noise intensity is good for the directed transport in −x or +x direction, but large self-correlation time inhibits this phenomenon. The effect of the self-propulsion speed is influenced by the modulation parameter of the potential. The elastic chain moves in +x direction when the angle noise intensity is zero. Noise intensity and self-correlation time of the angle noise have complicated effect on the system.

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Effect of temperature on synchronization of scale-free neuronal network

Cited by 41 publications

References 75 publications

Control of spiral waves in myocardial tissue by optogenetics and temperature

Control of spiral waves in myocardial tissue by optogenetics and temperature

Dynamical Analysis and Synchronization of a New Memristive Chialvo Neuron Model

Behavior of a chain of coupled self-propelled particles with two-dimensional potential and noise

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