Dergiler / International Journal of Engineering Science and Application / 2022 / Cilt: 6 - Sayı: 1

Simulation of action potential and wake trigger processes in MATLAB environment

Sayfa
29–37
Yayın Tarihi
2022-03-30
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

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

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In this study, it is aimed to simulate the action potentials in MATLAB’s Simulink environment.
📊
Temel Bulgular & Veri:For the simulation carried out, firstly, the electric current of the potential flow in the cell membrane was modelled.
💡
Sonuç & Katkı:The relationship between excitation and conduction timing action potentials is shown.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler: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.

🔖

Bu Makaleye Atıf Yap

BEKEN, M., EYECİOGLU, Ö., HANGÜN, B., KURT, N. (2022). Simulation of action potential and wake trigger processes in MATLAB environment. International Journal of Engineering Science and Application, Cilt: 6 - Sayı: 1, 29–37. https://ajindex.com/articles/832839

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (12)

  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
  3. 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
  4. Cole, K.S., Mostly membranes (Kenneth S. Cole). Annu Rev Physiol, 1979. 41: p. 1-¬‐24
  5. 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
  6. Nether, E. and B. Salman, Single-¬channel currents recorded from membrane of denervated frog muscle fibres. Nature, 1976. 260(5554): p. 799-¬‐802
  7. 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
  8. Physics-Praktikum for students of medicine (Lesson note
  9. Engelhardt, Breves, Physiology of Pets, Enke Verlag 2005
  10. Van Schaik, A. (2001). Building blocks for electronic spiking neural networks. Neural networks, 14(6-7), 617-628
  11. 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
  12. 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