ArticleCognitive neurodynamics2021
Energy dependence on discharge mode of Izhikevich neuron driven by external stimulus under electromagnetic induction.
Article in Cognitive neurodynamics, 2021. 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, 78 citations in OpenAlex.
- Low-power artificial neuron networks with enhanced synaptic functionality using dual transistor and dual memristor.PloS one · 2025Article
- Fast-slow dynamics in a memristive ion channel-based bionic circuit.Cognitive neurodynamics · 2024Article
- Wave propagation in a light-temperature neural network under adaptive local energy balance.Journal of biological physics · 2024Article
- Dynamical effects of memristive electromagnetic induction on a 2D Wilson neuron model.Cognitive neurodynamics · 2024Article
- Stability analysis of fractional order memristor synapse-coupled hopfield neural network with ring structure.Cognitive neurodynamics · 2023Article
- Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction.Cognitive neurodynamics · 2023Article
- Topology identification and dynamical pattern recognition for Hindmarsh-Rose neuron model via deterministic learning.Cognitive neurodynamics · 2023Article
- Electromagnetic induction effects on electrical activity within a memristive Wilson neuron model.Cognitive neurodynamics · 2022Article
- Complex dynamics of hair bundle of auditory nervous system (II): forced oscillations related to two cases of steady state.Cognitive neurodynamics · 2022Article
- Complex dynamics of hair bundle of auditory nervous system (I): spontaneous oscillations and two cases of steady states.Cognitive neurodynamics · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Energy supply plays a key role in metabolism and signal transmission of biological individuals, neurons in a complex electromagnetic environment must be accompanied by the absorption and release of energy. In this paper, the discharge mode and the Hamiltonian energy are investigated within the Izhikevich neuronal model driven by external signals in the presence of electromagnetic induction. It is found that multiple electrical activity modes can be observed by changing external stimulus, and the Hamiltonian energy is more dependent on the discharge mode. In particular, there is a distinct shift and transition in the Hamiltonian energy when the discharge mode is switched quickly. Furthermore, the amplitude of periodic stimulus signal has a greater effect on the neuronal energy compared to the angular frequency, and the average Hamiltonian energy decreases when the discharge rhythm becomes higher. Based on the principle of energy minimization, the system should choose the minimum Hamiltonian energy when maintaining various trigger states to reduce the metabolic energy of signal processing in biological systems. Therefore, our results give the possible clues for predicting and selecting appropriate parameters, and help to understand the sudden and paroxysmal mechanisms of epilepsy symptoms.
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