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A Computational Model of the Temperature-dependent Changes in Firing Patterns in Aplysia Neurons

We performed experiments using Aplysia neurons to identify the mechanism underlying the changes in the firing patterns in response to temperature changes. When the temperature was gradually increased from 11℃ to 31℃ the firing patterns changed sequentially from the silent state to beating, doublets,...

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Autores principales: Hyun, Nam Gyu, Hyun, Kwang-Ho, Hyun, Kwang-Beom, Han, Jin-Hee, Lee, Kyungmin, Kaang, Bong-Kiun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Physiological Society and The Korean Society of Pharmacology 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3282225/
https://www.ncbi.nlm.nih.gov/pubmed/22359475
http://dx.doi.org/10.4196/kjpp.2011.15.6.371
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author Hyun, Nam Gyu
Hyun, Kwang-Ho
Hyun, Kwang-Beom
Han, Jin-Hee
Lee, Kyungmin
Kaang, Bong-Kiun
author_facet Hyun, Nam Gyu
Hyun, Kwang-Ho
Hyun, Kwang-Beom
Han, Jin-Hee
Lee, Kyungmin
Kaang, Bong-Kiun
author_sort Hyun, Nam Gyu
collection PubMed
description We performed experiments using Aplysia neurons to identify the mechanism underlying the changes in the firing patterns in response to temperature changes. When the temperature was gradually increased from 11℃ to 31℃ the firing patterns changed sequentially from the silent state to beating, doublets, beating-chaos, bursting-chaos, square-wave bursting, and bursting-oscillation patterns. When the temperature was decreased over the same temperature range, these sequential changes in the firing patterns reappeared in reverse order. To simulate this entire range of spiking patterns we modified nonlinear differential equations that Chay and Lee made using temperature-dependent scaling factors. To refine the equations, we also analyzed the spike pattern changes in the presence of potassium channel blockers. Based on the solutions of these equations and potassium channel blocker experiments, we found that, as temperature increases, the maximum value of the potassium channel relaxation time constant, τ(n)(t) increases, but the maximum value of the probabilities of openings for activation of the potassium channels, n(t) decreases. Accordingly, the voltage-dependent potassium current is likely to play a leading role in the temperature-dependent changes in the firing patterns in Aplysia neurons.
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spelling pubmed-32822252012-02-22 A Computational Model of the Temperature-dependent Changes in Firing Patterns in Aplysia Neurons Hyun, Nam Gyu Hyun, Kwang-Ho Hyun, Kwang-Beom Han, Jin-Hee Lee, Kyungmin Kaang, Bong-Kiun Korean J Physiol Pharmacol Original Article We performed experiments using Aplysia neurons to identify the mechanism underlying the changes in the firing patterns in response to temperature changes. When the temperature was gradually increased from 11℃ to 31℃ the firing patterns changed sequentially from the silent state to beating, doublets, beating-chaos, bursting-chaos, square-wave bursting, and bursting-oscillation patterns. When the temperature was decreased over the same temperature range, these sequential changes in the firing patterns reappeared in reverse order. To simulate this entire range of spiking patterns we modified nonlinear differential equations that Chay and Lee made using temperature-dependent scaling factors. To refine the equations, we also analyzed the spike pattern changes in the presence of potassium channel blockers. Based on the solutions of these equations and potassium channel blocker experiments, we found that, as temperature increases, the maximum value of the potassium channel relaxation time constant, τ(n)(t) increases, but the maximum value of the probabilities of openings for activation of the potassium channels, n(t) decreases. Accordingly, the voltage-dependent potassium current is likely to play a leading role in the temperature-dependent changes in the firing patterns in Aplysia neurons. The Korean Physiological Society and The Korean Society of Pharmacology 2011-12 2011-12-27 /pmc/articles/PMC3282225/ /pubmed/22359475 http://dx.doi.org/10.4196/kjpp.2011.15.6.371 Text en Copyright © 2011 The Korean Physiological Society and The Korean Society of Pharmacology http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Hyun, Nam Gyu
Hyun, Kwang-Ho
Hyun, Kwang-Beom
Han, Jin-Hee
Lee, Kyungmin
Kaang, Bong-Kiun
A Computational Model of the Temperature-dependent Changes in Firing Patterns in Aplysia Neurons
title A Computational Model of the Temperature-dependent Changes in Firing Patterns in Aplysia Neurons
title_full A Computational Model of the Temperature-dependent Changes in Firing Patterns in Aplysia Neurons
title_fullStr A Computational Model of the Temperature-dependent Changes in Firing Patterns in Aplysia Neurons
title_full_unstemmed A Computational Model of the Temperature-dependent Changes in Firing Patterns in Aplysia Neurons
title_short A Computational Model of the Temperature-dependent Changes in Firing Patterns in Aplysia Neurons
title_sort computational model of the temperature-dependent changes in firing patterns in aplysia neurons
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3282225/
https://www.ncbi.nlm.nih.gov/pubmed/22359475
http://dx.doi.org/10.4196/kjpp.2011.15.6.371
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