ArticleScientific reports2017
Chaotic Resonance in Typical Routes to Chaos in the Izhikevich Neuron Model.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Chaotic dynamics analysis and digital hardware design of the Izhikevich neuron model.Scientific reports · 2025Article
- A cubic-quadratic phenomenological model explains the spiking, chaotic and bursting behaviors of neuron.Scientific reports · 2025Article
- Dynamic responses of neurons in different states under magnetic field stimulation.Journal of computational neuroscience · 2022Article
- Transition of Neural Activity From the Chaotic Bipolar-Disorder State to the Periodic Healthy State Using External Feedback Signals.Frontiers in computational neuroscience · 2020Article
- A Mathematical Model for the Signal of Death and Emergence of Mind Out of Brain in Izhikevich Neuron Model.Open access Macedonian journal of medical sciences · 2019Article
- Resonance phenomena controlled by external feedback signals and additive noise in neural systems.Scientific reports · 2019Article
- Controlling Chaotic Resonance using External Feedback Signals in Neural Systems.Scientific reports · 2019Article
- Routes to Chaos Induced by a Discontinuous Resetting Process in a Hybrid Spiking Neuron Model.Scientific reports · 2018Article
- The Promise of Stochastic Resonance in Falls Prevention.Frontiers in physiology · 2018Review
- Formation of Opioid-Induced Memory and Its Prevention: A Computational Study.Frontiers in computational neuroscience · 2018Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chaotic resonance (CR), in which a system responds to a weak signal through the effects of chaotic activities, is a known function of chaos in neural systems. The current belief suggests that chaotic states are induced by different routes to chaos in spiking neural systems. However, few studies have compared the efficiency of signal responses in CR across the different chaotic states in spiking neural systems. We focused herein on the Izhikevich neuron model, comparing the characteristics of CR in the chaotic states arising through the period-doubling or tangent bifurcation routes. We found that the signal response in CR had a unimodal maximum with respect to the stability of chaotic orbits in the tested chaotic states. Furthermore, the efficiency of signal responses at the edge of chaos became especially high as a result of synchronization between the input signal and the periodic component in chaotic spiking activity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.