Autaptic modulation-induced neuronal electrical activities and wave propagation on network under electromagnetic induction

Ge, Mengyan; Xu, Ying; Zhang, Zhaokang; Peng, Yuxu; Kang, Wenjing; Yang, Lijian; Jia, Ya

doi:10.1140/epjst/e2018-700141-7

Cited by 18 publications

(4 citation statements)

References 47 publications

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“…The effect of excitatory autapses on bursting patterns have been reported in biological experiments 40 . In theoretical models [41][42][43][44][45][46][47][48][49][50][51] , the autapse is identified as influencing electronic activities of single neurons such as an excitability switch 15,16 or resonance 52,53 , and spatiotemporal behaviors of neuronal networks such as spiral waves [54][55][56] and synchronization 57,58 . For example, an inhibitory autapse with time delay, which corresponds to a slow autapse, can enhance firing frequency, which is a novel phenomenon different from the common viewpoint that inhibitory effects should induce the reduction of firing frequency 59 .…”

Section: Different Dynamical Behaviors Induced By Slow Excitatory Feementioning

confidence: 99%

Different dynamical behaviors induced by slow excitatory feedback for type II and III excitabilities

Zhao

2020

Sci Rep

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Neuronal excitability is classified as type I, II, or III, according to the responses of electronic activities, which play different roles. In the present paper, the effect of an excitatory autapse on type III excitability is investigated and compared to type II excitability in the Morris-Lecar model, based on Hopf bifurcation and characteristics of the nullcline. The autaptic current of a fast-decay autapse produces periodic stimulations, and that of a slow-decay autapse highly resembles sustained stimulations. Thus, both fast- and slow-decay autapses can induce a resting state for type II excitability that changes to repetitive firing. However, for type III excitability, a fast-decay autapse can induce a resting state to change to repetitive firing, while a slow-decay autapse can induce a resting state to change to a resting state following a transient spike instead of repetitive spiking, which shows the abnormal phenomenon that a stronger excitatory effect of a slow-decay autapse just induces weaker responses. Our results uncover a novel paradoxical phenomenon of the excitatory effect, and we present potential functions of fast- and slow-decay autapses that are helpful for the alteration and maintenance of type III excitability in the real nervous system related to neuropathic pain or sound localization.

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Section: Different Dynamical Behaviors Induced By Slow Excitatory Feementioning

confidence: 99%

Different dynamical behaviors induced by slow excitatory feedback for type II and III excitabilities

Zhao

2020

Sci Rep

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“…They show that such a network can have multiple coexisting attractors including chaotic strange attractors. Based on an improved HR neuron model, the effects of electrical and chemical autapses on the firing activities of single neurons have been studied by the authors in paper [19]. The wave propagation in a forward feedback neural network has been also discussed by considering autapstic regulation under different intensities of electromagnetic induction.…”

Section: The European Physical Journal Special Topicsmentioning

confidence: 99%

Nonlinear effects in life sciences

Kapitaniak

Jafari

2018

Eur. Phys. J. Spec. Top.

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“…[7,19] In the theoretical models, autapse has been identified to play important roles in modulating firing pattern transitions, [20][21][22][23] stochastic dynamics, [24][25][26][27] and spatiotemporal dynamics of networks. [28][29][30][31][32][33] In addition to these normal phenomena, the paradoxical phenomenon for both inhibitory and excitatory autapses are acquired. One the one hand, the experimental observation can be explained with theoretical model.…”

Section: Introductionmentioning

confidence: 99%

Delayed excitatory self-feedback-induced negative responses of complex neuronal bursting patterns*

Ben

2021

Chinese Phys. B

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In traditional viewpoint, excitatory modulation always promotes neural firing activities. On contrary, the negative responses of complex bursting behaviors to excitatory self-feedback mediated by autapse with time delay are acquired in the present paper. Two representative bursting patterns which are identified respectively to be “Fold/Big Homoclinic” bursting and “Circle/Fold cycle” bursting with bifurcations are studied. For both burstings, excitatory modulation can induce less spikes per burst for suitable time delay and strength of the self-feedback/autapse, because the modulation can change the initial or termination phases of the burst. For the former bursting composed of quiescent state and burst, the mean firing frequency exhibits increase, due to that the quiescent state becomes much shorter than the burst. However, for the latter bursting pattern with more complex behavior which is depolarization block lying between burst and quiescent state, the firing frequency manifests decrease in a wide range of time delay and strength, because the duration of both depolarization block and quiescent state becomes long. Therefore, the decrease degree of spike number per burst is larger than that of the bursting period, which is the cause for the decrease of firing frequency. Such reduced bursting activity is explained with the relations between the bifurcation points of the fast subsystem and the bursting trajectory. The present paper provides novel examples of paradoxical phenomenon that the excitatory effect induces negative responses, which presents possible novel modulation measures and potential functions of excitatory self-feedback/autapse to reduce bursting activities.

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Autaptic modulation-induced neuronal electrical activities and wave propagation on network under electromagnetic induction

Cited by 18 publications

References 47 publications

Different dynamical behaviors induced by slow excitatory feedback for type II and III excitabilities

Different dynamical behaviors induced by slow excitatory feedback for type II and III excitabilities

Nonlinear effects in life sciences

Delayed excitatory self-feedback-induced negative responses of complex neuronal bursting patterns*

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