Stability analysis of action potential generation using Markov models of voltage-gated sodium channel isoforms
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| Format: | Preprint |
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2025
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| _version_ | 1866917117489577984 |
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| author | Abdullah, Youssof Hart, Violet Das, Moumita |
| author_facet | Abdullah, Youssof Hart, Violet Das, Moumita |
| contents | We investigate a conductance-based neuron model to explore how voltage-gated ion channel isoforms influence action-potential generation. The model combines a six-state Markov representation of NaV channels with a first-order KV3.1 model, allowing us to vary maximal sodium and potassium conductances and compare nine NaV isoforms. Using bifurcation theory and local stability analysis, we map regions of stable limit cycles and visualize excitability landscapes via heatmap-based diagrams. These analyses show that isoforms NaV1.3, NaV1.4 and NaV1.6 support broad excitable regimes, while isoforms NaV1.7 and NaV1.9 exhibit minimal oscillatory behavior. Our findings provide insights into the role of channel heterogeneity in neuronal dynamics and may help to guide the design of synthetic excitable systems by narrowing the parameter space needed for robust action-potential trains. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2512_01058 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Stability analysis of action potential generation using Markov models of voltage-gated sodium channel isoforms Abdullah, Youssof Hart, Violet Das, Moumita Neurons and Cognition Chaotic Dynamics We investigate a conductance-based neuron model to explore how voltage-gated ion channel isoforms influence action-potential generation. The model combines a six-state Markov representation of NaV channels with a first-order KV3.1 model, allowing us to vary maximal sodium and potassium conductances and compare nine NaV isoforms. Using bifurcation theory and local stability analysis, we map regions of stable limit cycles and visualize excitability landscapes via heatmap-based diagrams. These analyses show that isoforms NaV1.3, NaV1.4 and NaV1.6 support broad excitable regimes, while isoforms NaV1.7 and NaV1.9 exhibit minimal oscillatory behavior. Our findings provide insights into the role of channel heterogeneity in neuronal dynamics and may help to guide the design of synthetic excitable systems by narrowing the parameter space needed for robust action-potential trains. |
| title | Stability analysis of action potential generation using Markov models of voltage-gated sodium channel isoforms |
| topic | Neurons and Cognition Chaotic Dynamics |
| url | https://arxiv.org/abs/2512.01058 |