title: Impact of Bounded Noise and Rewiring on the Formation and Instability of Spiral Waves in a Small-World Network of Hodgkin-Huxley Neurons.
abstract: Spiral waves are observed in the chemical, physical and biological systems, and the emergence of spiral waves in cardiac tissue is linked to some diseases such as heart ventricular fibrillation and epilepsy; thus it has importance in theoretical studies and potential medical applications. Noise is inevitable in neuronal systems and can change the electrical activities of neuron in different ways. Many previous theoretical studies about the impacts of noise on spiral waves focus an unbounded Gaussian noise and even colored noise. In this paper, the impacts of bounded noise and rewiring of network on the formation and instability of spiral waves are discussed in small-world (SW) network of Hodgkin-Huxley (HH) neurons through numerical simulations, and possible statistical analysis will be carried out. Firstly, we present SW network of HH neurons subjected to bounded noise. Then, it is numerically demonstrated that bounded noise with proper intensity σ, amplitude A, or frequency f can facilitate the formation of spiral waves when rewiring probability p is below certain thresholds. In other words, bounded noise-induced resonant behavior can occur in the SW network of neurons. In addition, rewiring probability p always impairs spiral waves, while spiral waves are confirmed to be robust for small p, thus shortcut-induced phase transition of spiral wave with the increase of p is induced. Furthermore, statistical factors of synchronization are calculated to discern the phase transition of spatial pattern, and it is confirmed that larger factor of synchronization is approached with increasing of rewiring probability p, and the stability of spiral wave is destroyed.
authors.affiliation: Department of Physics, College of Science, Huazhong Agricultural University, Wuhan, China.|Institute of Applied Physics, Huazhong Agricultural University, Wuhan, China.
authors.forename: Yuangen
authors.initials: Y
authors.lastname: Yao
authors.affiliation: Department of Physics, College of Science, Huazhong Agricultural University, Wuhan, China.
authors.forename: Haiyou
authors.initials: H
authors.lastname: Deng
authors.affiliation: Department of Physics, College of Science, Huazhong Agricultural University, Wuhan, China.
authors.forename: Chengzhang
authors.initials: C
authors.lastname: Ma
authors.affiliation: Department of Physics, College of Science, Huazhong Agricultural University, Wuhan, China.
authors.forename: Ming
authors.initials: M
authors.lastname: Yi
authors.affiliation: Department of Physics, Lanzhou University of Technology, Lanzhou, China.|NAAM-Research Group, Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
authors.forename: Jun
authors.identifier: http://orcid.org/0000-0002-6127-000X
authors.initials: J
authors.lastname: Ma
mesh_terms: D000200:Action Potentials; D055592:Biophysical Phenomena; D003198:Computer Simulation; D060733:Electromagnetic Radiation; D006321:Heart / Q000502:physiology; D006801:Humans; D008564:Membrane Potentials; D008962:Models, Theoretical; D019579:Neocortex / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D009622:Noise; D016011:Normal Distribution; D011336:Probability