ArticleCognitive neurodynamics2020
Ionic channel blockage in stochastic Hodgkin-Huxley neuronal model driven by multiple oscillatory signals.
Article in Cognitive neurodynamics, 2020. 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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10 citing papers in PubMed.
- Fast-slow dynamics in a memristive ion channel-based bionic circuit.Cognitive neurodynamics · 2024Article
- Energy dependence of synchronization mode transitions in the delay-coupled FitzHugh-Nagumo system driven by chaotic activity.Cognitive neurodynamics · 2024Article
- Dynamical effects of memristive electromagnetic induction on a 2D Wilson neuron model.Cognitive neurodynamics · 2024Article
- Loss or gain of function? Effects of ion channel mutations on neuronal firing depend on the neuron type.Frontiers in neurology · 2023Article
- Effects of chaotic activity and time delay on signal transmission in FitzHugh-Nagumo neuronal system.Cognitive neurodynamics · 2022Article
- Autonomous learning of nonlocal stochastic neuron dynamics.Cognitive neurodynamics · 2022Article
- Automatic classification of nerve discharge rhythms based on sparse auto-encoder and time series feature.BMC bioinformatics · 2022Article
- The Study for Synchronization between Two Coupled FitzHugh-Nagumo Neurons Based on the Laplace Transform and the Adomian Decomposition Method.Neural plasticity · 2021Article
- A Synchronization Criterion for Two Hindmarsh-Rose Neurons with Linear and Nonlinear Coupling Functions Based on the Laplace Transform Method.Neural plasticity · 2021Article
- Multiple Firing Patterns in Coupled Hindmarsh-Rose Neurons with a Nonsmooth Memristor.Neural plasticity · 2020Article
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Abstract
Ionic channel blockage and multiple oscillatory signals play an important role in the dynamical response of pulse sequences. The effects of ionic channel blockage and ionic channel noise on the discharge behaviors are studied in Hodgkin-Huxley neuronal model with multiple oscillatory signals. It is found that bifurcation points of spontaneous discharge are altered through tuning the amplitude of multiple oscillatory signals, and the discharge cycle is changed by increasing the frequency of multiple oscillatory signals. The effects of ionic channel blockage on neural discharge behaviors indicate that the neural excitability can be suppressed by the sodium channel blockage, however, the neural excitability can be reversed by the potassium channel blockage. There is an optimal blockage ratio of potassium channel at which the electrical activity is the most regular, while the order of neural spike is disrupted by the sodium channel blockage. In addition, the frequency of spike discharge is accelerated by increasing the ionic channel noise, the firing of neuron becomes more stable if the ionic channel noise is appropriately reduced. Our results might provide new insights into the effects of ionic channel blockages, multiple oscillatory signals, and ionic channel noises on neural discharge behaviors.
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