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

DOI10.1007/s10827-016-0601-0zbMath1382.92063OpenAlexW2338689457WikidataQ36880676 ScholiaQ36880676MaRDI QIDQ1704986

Ryota Kobayashi, Katsunori Kitano

Publication date: 14 March 2018

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10827-016-0601-0

zbMATH Keywords

model reductionintegrate-and-fire modelsconductance-based modelsslow K\(^+\) currentsspike generation mechanism

Mathematics Subject Classification ID

Neural biology (92C20) Biochemistry, molecular biology (92C40)

Related Items (1)

On a stochastic neuronal model integrating correlated inputs

Cites Work

• Approximation of the first passage time density of a Wiener process to an exponentially decaying boundary by two-piecewise linear threshold. Application to neuronal spiking activity
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• Parabolic Bursting in an Excitable System Coupled with a Slow Oscillation
• Introduction to Theoretical Neurobiology
• Spiking Neuron Models
• A Universal Model for Spike-Frequency Adaptation

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