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; 
For figure 4A,B,C simply execute the matlab script runAllFig4sims in
the FIG4 directory.

Resulting figures can be found in the FIG4/FIGS directory:

FIG4-TraceA-GJ.eps
FIG4-TraceA-NC.eps
FIG4-TraceB-GJ.eps
FIG4-TraceB-NC.eps
FIG4-TraceC-GJ.eps
FIG4-TraceC-NC.eps


For figure 4D, go into FIG3 directory and use the data previously
generated there to make figure.

Matlab scripts to read and process data (OBS, in FIG3 directory!!):
readTenFSGJscanAllUpstate
countSpikeApperanceDisappearanceCONDVAR

Resulting figure:
countSpikeApperanceDisappearance-condVar.fig