Neuronal Synchronization of Electrical Activity, Using the Hodgkin-Huxley Model and RCLSJ Circuit
We simulated the neuronal electrical activity using the Hodgkin-Huxley model (HH) and a superconductor circuit, containing Josephson junctions. These HH model make possible simulate the main neuronal dynamics characteristics such as action potentials, firing threshold and refractory period. The pur...
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2016-02-01
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doaj-9406f4daf9b646848acd01a5a41a5a152020-11-25T00:57:58ZengUniversidad EAFITIngeniería y Ciencia1794-91652256-43142016-02-01122310.17230/ingciencia.12.23.53035Neuronal Synchronization of Electrical Activity, Using the Hodgkin-Huxley Model and RCLSJ CircuitJose A Diaz M0Oscar Téquita1Fernando Naranjo2Universidad Pedagógica y Tecnológica de ColombiaUniversidad Pedagógica y Tecnológica de ColombiaUniversidad Pedagógica y Tecnológica de Colombia We simulated the neuronal electrical activity using the Hodgkin-Huxley model (HH) and a superconductor circuit, containing Josephson junctions. These HH model make possible simulate the main neuronal dynamics characteristics such as action potentials, firing threshold and refractory period. The purpose of the manuscript is show a method to syncronize a RCLshunted Josephson junction to a neuronal dynamics represented by the HH model. Thus the RCLSJ circuit is able to mimics the behavior of the HH neuron. We controlated the RCLSJ circuit, using and improved adaptative track scheme, that with the improved Lyapunov functions and the two controllable gain coefficients allowing synchronization of two neuronal models. Results will provide the path to follow forward the understanding neuronal networks synchronization about, generating the intrinsic brain behavior. http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/3035Hodgkin-Huxley modelJosephson JunctionLyapunov Method |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jose A Diaz M Oscar Téquita Fernando Naranjo |
spellingShingle |
Jose A Diaz M Oscar Téquita Fernando Naranjo Neuronal Synchronization of Electrical Activity, Using the Hodgkin-Huxley Model and RCLSJ Circuit Ingeniería y Ciencia Hodgkin-Huxley model Josephson Junction Lyapunov Method |
author_facet |
Jose A Diaz M Oscar Téquita Fernando Naranjo |
author_sort |
Jose A Diaz M |
title |
Neuronal Synchronization of Electrical Activity, Using the Hodgkin-Huxley Model and RCLSJ Circuit |
title_short |
Neuronal Synchronization of Electrical Activity, Using the Hodgkin-Huxley Model and RCLSJ Circuit |
title_full |
Neuronal Synchronization of Electrical Activity, Using the Hodgkin-Huxley Model and RCLSJ Circuit |
title_fullStr |
Neuronal Synchronization of Electrical Activity, Using the Hodgkin-Huxley Model and RCLSJ Circuit |
title_full_unstemmed |
Neuronal Synchronization of Electrical Activity, Using the Hodgkin-Huxley Model and RCLSJ Circuit |
title_sort |
neuronal synchronization of electrical activity, using the hodgkin-huxley model and rclsj circuit |
publisher |
Universidad EAFIT |
series |
Ingeniería y Ciencia |
issn |
1794-9165 2256-4314 |
publishDate |
2016-02-01 |
description |
We simulated the neuronal electrical activity using the Hodgkin-Huxley model (HH) and a superconductor circuit, containing Josephson junctions. These HH model make possible simulate the main neuronal dynamics characteristics such as action potentials, firing threshold and refractory period. The purpose of the manuscript is show a method to syncronize a RCLshunted Josephson junction to a neuronal dynamics represented by the HH model. Thus the RCLSJ circuit is able to mimics the behavior of the HH neuron. We controlated the RCLSJ circuit, using and improved adaptative track scheme, that with the improved Lyapunov functions and the two controllable gain coefficients allowing synchronization of two neuronal models. Results will provide the path to follow forward the understanding neuronal networks synchronization about, generating the intrinsic brain behavior.
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topic |
Hodgkin-Huxley model Josephson Junction Lyapunov Method |
url |
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/3035 |
work_keys_str_mv |
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1725221949191225344 |