| Title |
Defects formation and spiral waves in a network of neurons in presence of electromagnetic induction
|
|---|---|
| Published in |
Cognitive Neurodynamics, January 2018
|
| DOI | 10.1007/s11571-017-9472-y |
| Pubmed ID | |
| Authors |
Zahra Rostami, Sajad Jafari |
| Abstract |
Complex anatomical and physiological structure of an excitable tissue (e.g., cardiac tissue) in the body can represent different electrical activities through normal or abnormal behavior. Abnormalities of the excitable tissue coming from different biological reasons can lead to formation of some defects. Such defects can cause some successive waves that may end up to some additional reorganizing beating behaviors like spiral waves or target waves. In this study, formation of defects and the resulting emitted waves in an excitable tissue are investigated. We have considered a square array network of neurons with nearest-neighbor connections to describe the excitable tissue. Fundamentally, electrophysiological properties of ion currents in the body are responsible for exhibition of electrical spatiotemporal patterns. More precisely, fluctuation of accumulated ions inside and outside of cell causes variable electrical and magnetic field. Considering undeniable mutual effects of electrical field and magnetic field, we have proposed the new Hindmarsh-Rose (HR) neuronal model for the local dynamics of each individual neuron in the network. In this new neuronal model, the influence of magnetic flow on membrane potential is defined. This improved model holds more bifurcation parameters. Moreover, the dynamical behavior of the tissue is investigated in different states of quiescent, spiking, bursting and even chaotic state. The resulting spatiotemporal patterns are represented and the time series of some sampled neurons are displayed, as well. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 24% |
| Student > Ph. D. Student | 4 | 24% |
| Student > Master | 3 | 18% |
| Student > Postgraduate | 2 | 12% |
| Professor > Associate Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 29% |
| Engineering | 2 | 12% |
| Mathematics | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 4 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 January 2018.
All research outputs
#18,581,651
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Outputs from Cognitive Neurodynamics
#193
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Outputs of similar age
#331,486
of 443,107 outputs
Outputs of similar age from Cognitive Neurodynamics
#5
of 18 outputs
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