JN Add DOIs to your references at manuscript stage!
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J Neurophysiol 91: 2541-2550, 2004. First published January 28, 2004; doi:10.1152/jn.00646.2003
0022-3077/04 $5.00
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
91/6/2541    most recent
00646.2003v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (11)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Sangrey, T. D.
Right arrow Articles by Levy, W. B
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Sangrey, T. D.
Right arrow Articles by Levy, W. B

Analysis of the Optimal Channel Density of the Squid Giant Axon Using a Reparameterized Hodgkin–Huxley Model

Thomas D. Sangrey1, W. Otto Friesen2 and William B Levy1

1 Department of Neurosurgery, University of Virginia, Charlottesville 22908; 2 Department of Biology, University of Virginia, Charlottesville, Virginia 22904

Submitted 7 July 2003; accepted in final form 19 January 2004

A reparameterized Hodgkin–Huxley-type model is developed that improves the 1952 model's fit to the biological action potential. In addition to altering Na+ inactivation and K+ activation kinetics, a voltage-dependent gating-current mechanism has been added to the model. The resulting improved model fits the experimental trace nearly exactly over the rising phase, and it has a propagation velocity that is within 3% of the experimentally measured value of 21.2 m/s (at 18.5°C). Having eliminated most inaccuracies associated with the velocity-dependent rising phase of the action potential, the model is used to test Hodgkin's maximum velocity hypothesis, which asserts that channel density has evolved to maximize conduction velocity. In fact the predicted optimal channel density is more than twice as high as the actual squid channel density. When the available capacitance is reduced to approximate more modern serial Na+-channel models, the optimal channel density is 4 times the actual value. We suggest that, although Hodgkin's maximum velocity hypothesis is acceptable as a first approximation, the microscopic optimization perspective of natural selection will not explain the channel density of the squid unless other constraints are taken into account, for example, the metabolic costs of velocity.


Address for reprint requests and other correspondence: William B Levy, University of Virginia Health System, Department of Neurosurgery, P.O. Box 800420, Charlottesville, VA 22908-0420 (E-mail: wbl{at}virginia.edu).




This article has been cited by other articles:


Home page
ScienceHome page
K. Kording
Decision Theory: What "Should" the Nervous System Do?
Science, October 26, 2007; 318(5850): 606 - 610.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
P. Crotty, T. Sangrey, and W. B Levy
Metabolic Energy Cost of Action Potential Velocity
J Neurophysiol, September 1, 2006; 96(3): 1237 - 1246.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
N. Jurisic and F. Bezanilla
Letter
J Neurophysiol, August 1, 2006; 96(2): 959 - 959.
[Full Text] [PDF]


Home page
J. Neurophysiol.Home page
W. B. Levy, P. Crotty, T. Sangrey, and O. Friesen
Reply
J Neurophysiol, August 1, 2006; 96(2): 960 - 960.
[Full Text] [PDF]


Home page
J. Neurosci.Home page
G. Baranauskas and M. Martina
Sodium Currents Activate without a Hodgkin and Huxley-Type Delay in Central Mammalian Neurons
J. Neurosci., January 11, 2006; 26(2): 671 - 684.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online
Copyright © 2004 by the The American Physiological Society.