Skip to content
Research Article Open Access

Izhikevich Sinir Hücresi Modelinin Raspberry Pi Kullanılarak Gerçekleştirilmesi

1Erciyes University
✉ Corresponding author: Vedat Burak Yücedağ · vedatburakyucedag@erciyes.edu.tr
Proceedings 2nd International Symposium on Innovative Approaches in Scientific Studies Volume 3 Pages 1239–1241 Year 2018
PDF BibTeX RIS

References

  1. R. FitzHugh, “Mathematical models for excitation and propagation innerve,” Biological Engineering, 1969.
  2. A. L. Hodgkin, A. F. Huxley, “A quantitative description of membranecurrent and its applicaation to conduction and excitation in nerve,” J. Phisiol. (Lond), 117, pp. 500-544, 1952.
  3. J. Nagumo, S. Sato, “On a respınse characteristic of mathematicalneuron model,” Kybernetik, vol. 10, pp. 155-164, 1972.
  4. C. Morris, H. Lecar, “Voltage oscillations in the barnacle giant musclefiber,” Biophysics J., 35, pp. 193-213, 1981.
  5. J. L. Hindmarsh, R. M. Rose, “A model of neural bursting using threecouple first order differential equations,” Proc. R. Soc. Lond. Biol. 221,pp. 87-102, 1984.
  6. E. M. Izhikevich, “Which Model to use for cortialspiking neurons?,”IEEE Transactions on Neural Networks, vol. 15, no. 5, 2004.
  7. E. M. Izhikevich, “Simple model of spiking neurons,” IEEETransactions on Neural Networks, vol. 14, no. 6, 2003.
  8. D. Mishra, A. Yadav, S. Ray, P. K. Kalra, “Exploring BiologicalNeuron models,” directions, the Reasearch magazine of IIT kanpur, vol.7, no. 3, pp. 13-22, 2006.
  9. D. Zhang, Q. Zhang, X. Zhu, “Exploring a type of central patterngenerator based on hindmarsh-rose model: from theory to application,”International journel of Neural system, vol. 25, no. 1, pp. 1-15, 2015.
  10. N. Dahasert, İ. Öztürk, R. Kılıç, “Exprimental realizations of the HRneuron model with programmable hardware and synchronizationapplications,” Nonlinear Dyn., vol. 70, pp. 2343 – 2358, 2012.
  11. M. Storace, D. Linaro, E. de Lange, “The Hindmarsh-Rose neuronmodel: bifurcation analysis and piecewise-linear approximations,”Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 18, no.033128, pp.
  12. (2018) The Raspberry Pi website. [Online]. Erişim:https://www.raspberrypi.org/
  13. S. Y. Bonabi, H. Asgharian, S. Safari, M.N. Ahmadabadi, “FPGAimplementation of a biological neural network based on the HodgkinHuxley neuron model,” Frontiers in Neuroscience, vol. 8, no 379. pp.1-12, 2014.
  14. N. Korkmaz, İ. Öztürk, R. Kılıç, “the investigation of chemicalcoupling in a HR neuron model with reconfigurable implementations,”Nonlinear Dyn. Vol. 86, pp. 1841-1854, 2016
Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
Global Reachresearchers worldwide