SavedAdd your journal

Journals / International Journal of Engineering Science and Application / 2026 / Volume: 6 Issue: 1

Simulation of action potential and wake trigger processes in MATLAB environment

Murat Beken(Bolu Abant İzzet Baysal Üniversitesi)0000-0001-9995-1321
Önder Eyecioglu(BOLU ABANT IZZET BAYSAL UNIVERSITY)0000-0002-9735-5697
Batuhan Hangün(YILDIZ TECHNICAL UNIVERSITY)0000-0002-0271-6868
Nursaç Kurt(ISTINYE UNIVERSITY)0000-0002-9338-0174
Pages
—
Publication Date
2022-03-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The relationship between excitation and conduction timing action potentials is shown.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, it is aimed to simulate the action potentials in MATLAB’s Simulink environment.
📊
Key Findings & Data:For the simulation carried out, firstly, the electric current of the potential flow in the cell membrane was modelled.
💡
Conclusion & Impact:The relationship between excitation and conduction timing action potentials is shown.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Action Potential · Simulation · Wake trigger

Abstract

In this study, it is aimed to simulate the action potentials in MATLAB’s Simulink environment. For the simulation carried out, firstly, the electric current of the potential flow in the cell membrane was modelled. Transmission and excitation of Action Potentials were studied in the simulation. The relationship between excitation and conduction timing action potentials is shown.

🔖

Cite This Article

Beken, M., Eyecioglu, Ö., Hangün, B., Kurt, N. (2022). Simulation of action potential and wake trigger processes in MATLAB environment. International Journal of Engineering Science and Application, Volume: 6 Issue: 1. https://ajindex.com/articles/1588729

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (16)

  1. Yalcinkaya, F., & Unsal, H. Matlab/Simulink Based Comparative Analysis of the Effect of Ion Concentration on Action Potantial by Using Hodgkin-Huxley and Morris-Lecar Neuron Models. In 2017 21st National Biomedical Engineering Meeting (BIYOMUT) (pp.i-iv). IEEE.
  2. Armstrong, C.M. and F. Bezanilla, Charge movement associated with the opening and closing of the activation gates of the Na channels. J Gen Physio, 1974. 63(5): p.533-¬52
  3. Ashmore, J.F., Forward and reverse transduction in the mammalian cochlea Neurosci Res Suppl, 1990. 12: p. S39-¬‐50
  4. Hodgkin, A. L., & Huxley, A. F. (1952). A quantitative description of membrane current and its application to conduction and excitation in nerve. The Journal of physiology, 117(4), 500.
  5. Ernst Klett Verlag GmbH, Stuttgart 2018 | www.klett.de | Alle Rechte vorbehalten Von dieser Druckvorlage ist die Vervielfältigung für den eigenen Unterrichtsgebrauch gestattet. Die Kopiergebühren sind abgegolten. Die Entstehung des Aktionspotentials, (Lesson note)
  6. Cole, K.S., Mostly membranes (Kenneth S. Cole). Annu Rev Physiol, 1979. 41: p. 1-¬‐24.
  7. Hodgkin, A.L. and A.F. Huxley, A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol, 1952. 117(4): p. 500-¬‐44.
  8. Nether, E. and B. Salman, Single-¬channel currents recorded from membrane of denervated frog muscle fibres. Nature, 1976. 260(5554): p. 799-¬‐802.
  9. Santos-¬Sachi, J., S. Kakheti, and Stochastic, Effects of membrane potential on the voltage dependence of motility related charge in outer hair cells of the guineapig. J. Physiol, 1998. 510 (Pt 1): p. 225-¬‐35
  10. Santos-¬‐Sachi, J., Reversible inhibition of voltage-¬dependent outer hair cell motility and capacitance. J Neurosci, 1991. 11(10): p. 3096-¬‐110.
  11. Physics-Praktikum for students of medicine (Lesson note)
  12. Engelhardt, Breves, Physiology of Pets, Enke Verlag 2005.
  13. Van Schaik, A. (2001). Building blocks for electronic spiking neural networks. Neural networks, 14(6-7), 617-628.
  14. Tahayori, B., & Dokos, S. (2012). Optimal stimulus current waveshape for a Hodgkin-Huxley model neuron. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 4627-4630). IEEE.
  15. Kirigeeganage, S., Jackson, D., Zurada, J. M., & Naber, J. (2018, December). Modeling the bursting behavior of the Hodgkin-Huxley neurons using genetic algorithm-based parameter search. In 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) (pp. 470-475). IEEE.
  16. Beken, M., Gunhan, H.M., Akbulut, E., Çapraz, T. “Climate Control System for Cold Storage Depots”, International Journal of Engineering Science and Application, Vol. 1, No, 2, 2017.