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; 
Figure 2A and 2B

This figure just exemplifies the change in spiking when two neurons go
from uncoupled to coupled, by adding gap junctions. Any voltage trace
outputted from the other scripts will do.

Voltage traces can be loaded from any of the simulations using:

d = load('yourdatafilehere.data');
plot(d(:,1),d(:,2:end));

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Figure 2C

runTwoFS.m

readTwoFS.m
makeTwoFS2dSynchSpikeFreqPlotFIG2Cprop

Output file:
TwoFS-synchSpikePairs-AllPairs-GJ-1-prop.fig


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Figure 2D

runTwoFSupstateDownstate.m
readTwoFSupstateDownstate.m
makeTwoFSJPSTH.m