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Impact of slow K+ currents on spike generation can be described by an adaptive threshold model

Overview of attention for article published in Journal of Computational Neuroscience, April 2016
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Title
Impact of slow K+ currents on spike generation can be described by an adaptive threshold model
Published in
Journal of Computational Neuroscience, April 2016
DOI 10.1007/s10827-016-0601-0
Pubmed ID
Authors

Ryota Kobayashi, Katsunori Kitano

Abstract

A neuron that is stimulated by rectangular current injections initially responds with a high firing rate, followed by a decrease in the firing rate. This phenomenon is called spike-frequency adaptation and is usually mediated by slow K(+) currents, such as the M-type K(+) current (I M ) or the Ca(2+)-activated K(+) current (I AHP ). It is not clear how the detailed biophysical mechanisms regulate spike generation in a cortical neuron. In this study, we investigated the impact of slow K(+) currents on spike generation mechanism by reducing a detailed conductance-based neuron model. We showed that the detailed model can be reduced to a multi-timescale adaptive threshold model, and derived the formulae that describe the relationship between slow K(+) current parameters and reduced model parameters. Our analysis of the reduced model suggests that slow K(+) currents have a differential effect on the noise tolerance in neural coding.

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Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 45%
Other 2 9%
Researcher 2 9%
Student > Bachelor 1 5%
Professor 1 5%
Other 4 18%
Unknown 2 9%
Readers by discipline Count As %
Neuroscience 9 41%
Physics and Astronomy 4 18%
Computer Science 3 14%
Agricultural and Biological Sciences 1 5%
Arts and Humanities 1 5%
Other 2 9%
Unknown 2 9%