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RECTIFICATION AND INDUCTANCE IN THE SQUID GIANT AXON

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Cole, Kenneth S.·1941·Journal of General Physiology

Abstract

Previous measurements have shown that the electrical properties of the squid axon membrane are approximately equivalent to those of a circuit containing a capacity shunted by an inductance and a rectifier in series. Selective ion permeability of a membrane separating two electrolytes may be expected to give rise to the rectification. A quasi-crystalline piezoelectric structure of the membrane is a plausible explanation of the inductance. Some approximate calculations of behavior of an axon with these membrane characteristics have been made. Fair agreement is obtained with the observed constant current subthreshold potential and impedance during the foot of the action potential. In a simple case a formal analogy is found between the calculated membrane potential and the excitability defined by the two factor formulations of excitation. Several excitation phenomena may then be explained semi-quantitatively by further assuming the excitability proportional to the membrane potential. Some previous measurements and subthreshold potential and excitability observations are not consistent with the circuit considered and indicate that this circuit is only approximately equivalent to the membrane.

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Metadata

Authors
Cole, K. S.
Venue
Journal of General Physiology
Published
1941-09-20
Volume
25
Issue
1
Pages
29-51
ISSN
  • 0022-1295 (ISSN-L)
  • 1540-7748
OpenAlex
W2088418136
Cited by
167
References
0
FWCI
2.40
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: RECTIFICATION AND INDUCTANCE IN THE SQUID GIANT AXON. https://app.cochat.ai/papers/10.1085/jgp.25.1.29
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Cole, K. S. (1941). RECTIFICATION AND INDUCTANCE IN THE SQUID GIANT AXON. Journal of General Physiology. https://doi.org/10.1085/jgp.25.1.29

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.