Limitations of the Hodgkin-Huxley formalism: effects of single channel kinetics on transmembrane voltage dynamics

Authors:
Adam F. Strassberg;Louis J. DeFelice
Affiliations:
-;-
Venue:
Neural Computation
Year:
1993

Citing 0
Cited 8

Ion channel stochasticity may be critical in determining the reliability and precision of spike timing

Neural Computation
The impact of spike timing variability on the signal-encoding performance of neural spiking models

Neural Computation
Detecting and Estimating Signals in Noisy Cable Structures, I: Neuronal Noise Sources

Neural Computation
Persistent membranous cross correlations due to the multiplicity of gates in ion channels

Journal of Computational Neuroscience
Stochastic amplification of calcium-activated potassium currents in Ca2+ microdomains

Journal of Computational Neuroscience
Potassium ion channel optical model: Membrane potential repolarization and its dynamic spread process

Neurocomputing
Stochastic hodgkin-huxley equations with colored noise terms in the conductances

Neural Computation
An investigation of the stochastic hodgkin-huxley models under noisy rate functions

Neural Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

A standard membrane model, based on the continuous deterministicHodgkin-Huxley equations, is compared to an alternative membranemodel, based on discrete stochastic ion channel populationsrepresented through Markov processes. Simulations explore therelationship between these two levels of description: the behaviorpredicted by the macroscopic membrane currents versus the behaviorpredicted by their microscopic ion channels. Discussion considersthe extent to which these random events underlying neural signalsmediate random events in neural computation.