Impact of slow K+ currents on spike generation can be described by an adaptive threshold model |
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Authors: | Ryota Kobayashi Katsunori Kitano |
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Affiliation: | 1.Principles of Informatics Research Division,National Institute of Informatics,Tokyo,Japan;2.Department of Informatics,SOKENDAI (The Graduate University for Advanced Studies),Tokyo,Japan;3.Department of Human and Computer Intelligence,Ritsumeikan University,Kusatsu,Japan |
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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 Ca2+-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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