Literature DB >> 33840215

Impacts of autapse on chaotic resonance in single neurons and small-world neuronal networks.

Veli Baysal1, Erdem Erkan1, Ergin Yilmaz2.   

Abstract

Chaotic resonance (CR) is a new phenomenon induced by an intermediate level of chaotic signal intensity in neuronal systems. In the current study, we investigated the effects of autapse on the CR phenomenon in single neurons and small-world (SW) neuronal networks. In single neurons, we assume that the neuron has only one autapse modelled as electrical, excitatory chemical and inhibitory chemical synapse, respectively. Then, we analysed the effects of each one on the CR, separately. Obtained results revealed that, regardless of its type, autapse significantly increases the chaotic resonance of the appropriate autaptic parameter's values. It is also observed that, at the optimal chaotic current intensity, the multiple CR emerges depending on autaptic time delay for all the autapse types when the autaptic delay time or its integer multiples match the half period or period of the weak signal. In SW networks, we investigated the effects of chaotic activity on the prorogation of pacemaker activity, where pacemaker neurons have different kinds of autapse as considered in single neuron cases. Obtained results revealed that excitatory and electrical autapses prominently increase the prorogation of pacemaker activity, whereas inhibitory autapse reduces or does not change it. Also, the best propagation was obtained when the autapse was excitatory. This article is part of the theme issue 'Vibrational and stochastic resonance in driven nonlinear systems (part 2)'.

Entities:  

Keywords:  Hodgkin–Huxley neuron; autapse; chaotic resonance; small-world networks

Year:  2021        PMID: 33840215     DOI: 10.1098/rsta.2020.0237

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

1.  Effects of chaotic activity and time delay on signal transmission in FitzHugh-Nagumo neuronal system.

Authors:  Dong Yu; Xiuying Zhou; Guowei Wang; Qianming Ding; Tianyu Li; Ya Jia
Journal:  Cogn Neurodyn       Date:  2021-11-06       Impact factor: 3.473

2.  Vibrational and stochastic resonances in driven nonlinear systems: part 2.

Authors:  U E Vincent; P V E McClintock; I A Khovanov; S Rajasekar
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-04-12       Impact factor: 4.226

  2 in total

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