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Activity dependent conductances in a neuron model (Liu et al. 1998)
Accession: 93321
"... We present a model of a stomatogastric ganglion (STG) neuron in which several Ca2+-dependent pathways are used to regulate the maximal conductances of membrane currents in an activity-dependent manner. Unlike previous models of this type, the regulation and modification of maximal conductances by electrical activity is unconstrained. The model has seven voltage-dependent membrane currents and uses three Ca2+ sensors acting on different time scales. ... The model suggests that neurons may regulate their conductances to maintain fixed patterns of electrical activity, rather than fixed maximal conductances, and that the regulation process requires feedback systems capable of reacting to changes of electrical activity on a number of different time scales."
Reference: Liu Z, Golowasch J, Marder E, Abbott LF (1998) A model neuron with activity-dependent conductances regulated by multiple calcium sensors. J Neurosci 18:2309-20 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type:  Neuron or other electrically excitable cell;
Brain Region(s)/Organism:  
Cell Type(s):   
Channel(s):  I Na,t; I L high threshold; I T low threshold; I A; I K; I K,Ca; I Potassium;  
Gap Junctions:  
Receptor(s):  
Gene(s):  
Transmitter(s):  
Simulation Environment:  Neuron;
Model Concept(s):  Bursting; Temporal Pattern Generation;
Implementer(s):  Morse, Tom ;
Search NeuronDB for information about:  I A; I K; I K,Ca; I L high threshold; I Na,t; I Potassium; I T low threshold;
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liuEtAl1998
readme.html
fig3bottompaper.jpg
fig3bottomsimulation.jpg
dc.mod
fast.mod
cas.mod
cat.mod
g_a.mod
g_cas.mod
g_cat.mod
g_h.mod
g_kca.mod
g_kd.mod
g_na.mod
h.mod
ka.mod
kca.mod
kd.mod
na.mod
cadecay.mod
slow.mod
cntrl_buttons.hoc
mosinit.hoc
init.hoc
fig3.hoc
fig3bottom.ses
vgraph.ses
notes.txt
lieuEtAl1998.pdf
                            
This is the readme for Tom Morse's implementation in NEURON of the
model from

Liu Z, Golowasch J, Marder E, Abbott LF (1998)
A model neuron with activity-dependent conductances regulated by
multiple calcium sensors. J Neurosci 18:2309-20

Abstract:

Membrane channels are subject to a wide variety of regulatory
mechanisms that can be affected by activity. We present a model of a
stomatogastric ganglion (STG) neuron in which several Ca2+-dependent
pathways are used to regulate the maximal conductances of membrane
currents in an activity-dependent manner. Unlike previous models of
this type, the regulation and modification of maximal conductances by
electrical activity is unconstrained. The model has seven
voltage-dependent membrane currents and uses three Ca2+ sensors acting
on different time scales. Starting from random initial conditions over
a given range, the model sets the maximal conductances for its active
membrane currents to values that produce a predefined target pattern
of activity approximately 90% of the time. In these models, the same
pattern of electrical activity can be produced by a range of maximal
conductances, and this range is compared with voltage-clamp data from
the lateral pyloric neuron of the STG. If the electrical activity of
the model neuron is perturbed, the maximal conductances adjust to
restore the original pattern of activity. When the perturbation is
removed, the activity pattern is again restored after a transient
adjustment period, but the conductances may not return to their
initial values. The model suggests that neurons may regulate their
conductances to maintain fixed patterns of electrical activity, rather
than fixed maximal conductances, and that the regulation process
requires feedback systems capable of reacting to changes of electrical
activity on a number of different time scales.
----------------------------------------------------------------------

Model Usage:

How to run the model:

Autolaunch from ModelDB and select figures by pressing buttons or
download and expand the archive.  Then on

mswin: double click on the mosinit.hoc file after compiling the mod
       files with mknrndll

unix: type "nrnivmodl" and enter and then "nrngui mosinit.hoc" in the
      expanded archive folder.

mac: after the archive is unziped drag and drop the newly created
     folder onto the mknrndll icon. Then drag and drop the mosinit.hoc
     in the folder onto the nrngui icon.

----------------------------------------------------------------------

Notes on the recreation and verification of the model:

I recreated figure 3 because aspects of that allow for verification of
the complete model.  In this figure there are two models named model A
and model B.  These models evolve from starting conductances whose
values are shown on the left of each graph to ending conductances
whose values are shown on the right of each graph.  For each of four
cases (start and end of model A and B) voltage trajectories are
graphed in the middle and top of figure 3.  So first I verified the
underlying STG model (without activity) by plugging these values into
the model and found that it did reproduce the trajectories. Second I
verified the activity dependence by graphing the evolution of the
model conductances:
simulation to see that they matched the bottom figure. of the paper: paper

The simulation results matched the paper when run for 100 seconds
(shown above).  The paper figure caption likely has a typo (Abbott,
personal communication 2007) when it mentions these runs were 15
seconds of simulation time.

See notes.txt for how to run model to examine long-term stability of
conductances.


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