Characterizing spiking in noisy type II neurons

DOI10.1016/j.jtbi.2014.09.041zbMath1314.92035OpenAlexW1998900277WikidataQ46152366 ScholiaQ46152366MaRDI QIDQ2351307

Daniel B. Forger, David Paydarfar, Katarína Bod'ová

Publication date: 23 June 2015

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2014.09.041

zbMATH Keywords

Markov processexcitable systemsHodgkin-Huxley modelstochastic transitions

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (1)

An efficient method for simulation of noisy coupled multi-dimensional oscillators

Cites Work

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• The Morris-Lecar neuron model embeds a leaky integrate-and-fire model
• Bifurcation of the Hodgkin and Huxley equations: A new twist
• Channel noise in Hodgkin-Huxley model neurons
• Effect of channel noise on the time-course of recovery from inactivation of sodium channels
• Intrinsic coherence resonance in excitable membrane patches
• Bursting Oscillations Induced by Small Noise
• Coherence Resonance in a Noise-Driven Excitable System
• Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise
• Interspike Interval Statistics in the Stochastic Hodgkin-Huxley Model: Coexistence of Gamma Frequency Bursts and Highly Irregular Firing

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