A cortical sheet mesoscopic model for investigating focal seizure onset dynamics (Wang et al. 2014)

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Accession:155565
The model uses realistically coupled, discretised, Wilson-Cowan units to describe the spatio-temporal activity of a cortical sheet. This model has been used the investigate the dynamic onset mechanisms of focal seizures.
Reference:
1 . Wang Y, Goodfellow M, Taylor PN, Baier G (2014) Dynamic mechanisms of neocortical focal seizure onset PLoS Computational Biology 10(8):e1003787 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neural mass;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s): Oscillations; Spatio-temporal Activity Patterns; Epilepsy; Delay; Brain Rhythms; Bifurcation;
Implementer(s): Wang, Yujiang [yujiang.wang at newcastle.ac.uk];
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WebPublication
lib
ConnLocGaussian.m *
ConnPatchyRemOverlap.m *
Conns_n150.mat
convolve2.m *
distSheet.m *
distTorus.m *
exindex.m *
FilterEEG.m
Gaussian.m *
GaussianLocConnFunc.m
generatePatchesOverlap.m *
getDelayMatrix.m
getNoise.m
getParam.m *
getParamDelay.m
makeCellCluster.m *
makeCellClusterToroidal.m *
MayColourMap.mat *
meanMacroCol.m *
runSheet.m *
runSheetDelay.m *
runSheetPRamp.m *
Sigm.m *
                            
function distT=distTorus(a,b,varargin)
if nargin>2
    n=varargin{1};
    m=n;
else
m=sqrt(length(b));
n=m;
end

distx=min(abs(a(1)-b(:,1)),n-abs(a(1)-b(:,1)));
disty=min(abs(a(2)-b(:,2)),m-abs(a(2)-b(:,2)));
distT=sqrt(distx.^2+disty.^2);
end

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