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  Action potential initiation in a multi-compartmental model with cooperatively gating Na channels in the axon initial segment

Öz, P., Huang, M., & Wolf, F. (2015). Action potential initiation in a multi-compartmental model with cooperatively gating Na channels in the axon initial segment. Journal of Computational Neuroscience, 39(1), 63-75. doi:10.1007/s10827-015-0561-9.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-A8A5-5 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-D6CE-F
Genre: Journal Article

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 Creators:
Öz, Pinar1, Author
Huang, Min1, Author
Wolf, Fred1, Author              
Affiliations:
1Research Group Theoretical Neurophysics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063289              

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Free keywords: Action potential; Onset rapidness; Cooperativity hypothesis; Na channel; Axon initial segment; Multi-compartmental neuron model
 Abstract: Somatic action potentials (AP) of cortical pyramidal neurons have characteristically high onset-rapidness. The onset of the AP waveform is an indirect measure for the ability of a neuron to respond to temporally fast-changing stimuli. Theoretical studies on the pyramidal neuron response usually involves a canonical Hodgkin-Huxley (HH) type ion channel gating model, which assumes statistically independent gating of each individual channel. However, cooperative activity of ion channels are observed for various cell types, meaning that the activity (e.g. opening) of one channel triggers the activity (e.g. opening) of a certain fraction of its neighbors and hence, these groups of channels behave as a unit. In this study, we describe a multi-compartmental conductance-based model with cooperatively gating voltage-gated Na channels in the axon initial segment. Our model successfully reproduced the somatic sharp AP onsets of cortical pyramidal neurons. The onset latencies from the initiation site to the soma and the conduction velocities were also in agreement with the previous experimental studies.

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Language(s): eng - English
 Dates: 2015-05-232015-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1007/s10827-015-0561-9
BibTex Citekey: OezHuangWolf2015
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Title: Journal of Computational Neuroscience
Source Genre: Journal
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Pages: - Volume / Issue: 39 (1) Sequence Number: - Start / End Page: 63 - 75 Identifier: -