Title |
Impact of slow K+ currents on spike generation can be described by an adaptive threshold model
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Published in |
Journal of Computational Neuroscience, April 2016
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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. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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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 % |
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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% |