Gap junction coupled network of striatal fast spiking interneurons (Hjorth et al. 2009)

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Accession:118389
Gap junctions between striatal FS neurons has very weak ability to synchronise spiking. Input uncorrelated between neighbouring neurons is shunted, while correlated input is not.
Reference:
1 . Hjorth J, Blackwell KT, Kotaleski JH (2009) Gap junctions between striatal fast-spiking interneurons regulate spiking activity and synchronization as a function of cortical activity. J Neurosci 29:5276-86 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell; Synapse; Channel/Receptor; Dendrite;
Brain Region(s)/Organism: Basal ganglia;
Cell Type(s): Neostriatum fast spiking interneuron;
Channel(s): I A; I_K,Na;
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: GENESIS; MATLAB;
Model Concept(s): Activity Patterns; Ion Channel Kinetics; Synchronization; Detailed Neuronal Models;
Implementer(s): Hjorth, Johannes [hjorth at csc.kth.se];
Search NeuronDB for information about:  I A; I_K,Na; Gaba; Glutamate; 
To generate the supplementary figures S5, go to the FIGS5 directory.

S5A
runTenFSsensitivity.m

readTenFSsensitivity
makeShuntingSensitivityFigure.m

TenFS-sense-meanFreq-updated-selection.eps



S5B
runTenFSsensitivity.m

readTenFSsensitivity.m
makeCorrPairFigure.m




For those interrested, there are also some scripts to run the
sensitivity analysis on Blue Gene using pgenesis in the
FIGS5/BlueGene/ directory. All simulations can be done using the
runTenFSsensitivy.m with regular genesis.

Prepare for the Blue Gene simulation:
setupBlueGeneFSsensSimulation.m

Copy this file to the regular FIGS5 directory on Blue Gene:
simFSsaveGJcurParallell.g

Copy all the INDATA* directories to the FIGS5 directory on Blue Gene

To clean up:
cleanBlueGene