Temperature-Dependent Pyloric Pacemaker Kernel (Caplan JS et al., 2014)

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Accession:152636
"... Here we demonstrate that biophysical models of channel noise can give rise to two kinds of recently discovered stochastic facilitation effects in a Hodgkin-Huxley-like model of auditory brainstem neurons. The first, known as slope-based stochastic resonance (SBSR), enables phasic neurons to emit action potentials that can encode the slope of inputs that vary slowly relative to key time constants in the model. The second, known as inverse stochastic resonance (ISR), occurs in tonically firing neurons when small levels of noise inhibit tonic firing and replace it with burstlike dynamics. ... our results show that possible associated computational benefits may occur due to channel noise in neurons of the auditory brainstem. ... "
Reference:
1 . Caplan JS, Williams AH, Marder E (2014) Many parameter sets in a multicompartment model oscillator are robust to temperature perturbations J Neurosci. 34(14):496-75 [PubMed]
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): Stomatogastric ganglion (STG) pyloric dilator (PD) neuron; Stomatogastric ganglion (STG) pyloric neuron;
Channel(s): I A; I K,leak; I h; I K,Ca; I Sodium; I Calcium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: C or C++ program;
Model Concept(s): Bursting; Parameter sensitivity; Temperature;
Implementer(s): Caplan, Jonathan S [joncaplan at gmail.com];
Search NeuronDB for information about:  I A; I K,leak; I h; I K,Ca; I Sodium; I Calcium;
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CaplanEtAl2014
.hg
readme.txt
call_model.cpp
g_maxes.txt
model.cpp
model.h
                            
This is the model associated with the paper:

Caplan JS, Williams AH, Marder E (2014) Many parameter sets in a
multicompartment model oscillator are robust to temperature
perturbations J Neurosci. 34(14):496-75

The model code was contributed by Jonathan Caplan.

Usage in a unix/linux environment
---------------------------------

To compile with g++ you can use a command at the shell prompt like:

g++ call_model.cpp model.cpp -lm -O4 -ffast-math -o model.exe

and then to run type:

./model.exe

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