Find models by
Find models for
Find models of
Electrical synapses (gap junctions)
SenseLab mailing list
ModelDB related resources
Computational neuroscience ecosystem
Models in a git repository
Hodgkin-Huxley with dynamic ion concentrations (Hubel and Dahlem, 2014)
Download zip file
Help downloading and running models
The classical Hodgkin--Huxley (HH) model neglects the time-dependence of ion concentrations in spiking dynamics. The dynamics is therefore limited to a time scale of milliseconds, which is determined by the membrane capacitance multiplied by the resistance of the ion channels, and by the gating time constants. This model includes slow dynamics in an extended HH framework that simulates time-dependent ion concentrations, pumps, and buffers. Fluxes across the neuronal membrane change intra- and extracellular ion concentrations, whereby the latter can also change through contact to reservoirs in the surroundings. The dynamics on three distinct slow times scales is determined by the cell volume-to-surface-area ratio and the membrane permeability (seconds), the buffer time constants (tens of seconds), and the slower backward buffering (minutes to hours). The modulatory dynamics and the newly emerging excitable dynamics corresponds to pathological conditions observed in epileptiform burst activity, and spreading depression in migraine aura and stroke, respectively.
Hübel N, Dahlem MA (2014) Dynamics from seconds to hours in Hodgkin-Huxley model with time-dependent ion concentrations and buffer reservoirs.
PLoS Comput Biol
(Click on a link to find other models with that property)
Neuron or other electrically excitable cell;
I Cl, leak;
I Na, leak;
for information about:
I Cl, leak
I Na, leak
File not selected
<- Select file from this column.
Loading data, please wait...