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Prediction of repetitive firing behaviour from voltage clamp data on an isolated neurone soma

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Connor, J. A., Stevens, C. F.·1971·The Journal of Physiology

Abstract

1. Membrane parameters of an isolated neural cell body have been determined by voltage clamp analysis. Data are expressed as membrane ion‐specific conductances, leak conductance, and capacitance. 2. Three ionic currents are present: Inward, II; and two operationally distinct outward currents, IK and IA. Both outward currents are apparently carried by potassium ions. 3. Hodgkin—Huxley‐like equations were solved for the discharge of two sequential action potentials in response to a constant stimulus current. The digital computer solutions are compared with action potential data recorded from the investigated cell. 4. The computed and experimentally measured relationships between firing frequency and stimulus current intensity are compared and are linear over the same portion of the total frequency range. 5. Cell behaviour in the latter part of the interspike interval is dominated by the conductance gA while gNa and gK largely determine the character of the action potential and the initial portion of the interspike interval. 6. Prehyperpolarization of the membrane activates gA and the membrane response to depolarizing current differs markedly from the response elicited when no prehyperpolarization is imposed.

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Crossref · 10.1113/jphysiol.1971.sp009366

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Metadata

Authors
Connor, J. A., & Stevens, C. F.
Venue
The Journal of Physiology
Publisher
Wiley
Published
1971-02
Volume
213
Issue
1
Pages
31-53
ISSN
  • 0022-3751 (ISSN-L)
  • 1469-7793
OpenAlex
W2132593434
Cited by
740
References
0
FWCI
5.89
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Prediction of repetitive firing behaviour from voltage clamp data on an isolated neurone soma. https://app.cochat.ai/papers/10.1113/jphysiol.1971.sp009366
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Connor, J. A., & Stevens, C. F. (1971). Prediction of repetitive firing behaviour from voltage clamp data on an isolated neurone soma. The Journal of Physiology. https://doi.org/10.1113/jphysiol.1971.sp009366

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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.