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Cited by 273

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Biophysical Basis for Three Distinct Dynamical Mechanisms of Action Potential Initiation

Open access
Prescott, Steven A., De Koninck, Yves, Sejnowski, Terrence J.·2008·PLoS Computational Biology

Abstract

Transduction of graded synaptic input into trains of all-or-none action potentials (spikes) is a crucial step in neural coding. Hodgkin identified three classes of neurons with qualitatively different analog-to-digital transduction properties. Despite widespread use of this classification scheme, a generalizable explanation of its biophysical basis has not been described. We recorded from spinal sensory neurons representing each class and reproduced their transduction properties in a minimal model. With phase plane and bifurcation analysis, each class of excitability was shown to derive from distinct spike initiating dynamics. Excitability could be converted between all three classes by varying single parameters; moreover, several parameters, when varied one at a time, had functionally equivalent effects on excitability. From this, we conclude that the spike-initiating dynamics associated with each of Hodgkin's classes represent different outcomes in a nonlinear competition between oppositely directed, kinetically mismatched currents. Class 1 excitability occurs through a saddle node on invariant circle bifurcation when net current at perithreshold potentials is inward (depolarizing) at steady state. Class 2 excitability occurs through a Hopf bifurcation when, despite net current being outward (hyperpolarizing) at steady state, spike initiation occurs because inward current activates faster than outward current. Class 3 excitability occurs through a quasi-separatrix crossing when fast-activating inward current overpowers slow-activating outward current during a stimulus transient, although slow-activating outward current dominates during constant stimulation. Experiments confirmed that different classes of spinal lamina I neurons express the subthreshold currents predicted by our simulations and, further, that those currents are necessary for the excitability in each cell class. Thus, our results demonstrate that all three classes of excitability arise from a continuum in the direction and magnitude of subthreshold currents. Through detailed analysis of the spike-initiating process, we have explained a fundamental link between biophysical properties and qualitative differences in how neurons encode sensory input.

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Metadata

Authors
Prescott, S. A., De Koninck, Y., & Sejnowski, T. J.
Venue
PLoS Computational Biology
Published
2008-10-10
Volume
4
Issue
10
Pages
e1000198
ISSN
  • 1553-734X (ISSN-L)
  • 1553-7358
OpenAlex
W1966337493
Cited by
273
References
61
FWCI
3.47
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Biophysical Basis for Three Distinct Dynamical Mechanisms of Action Potential Initiation. https://app.cochat.ai/papers/10.1371/journal.pcbi.1000198
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Prescott, S. A., De Koninck, Y., & Sejnowski, T. J. (2008). Biophysical Basis for Three Distinct Dynamical Mechanisms of Action Potential Initiation. PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1000198

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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.