Network recruitment to coherent oscillations in a hippocampal model (Stacey et al. 2011)

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Accession:135903
"... Here we demonstrate, via a detailed computational model, a mechanism whereby physiological noise and coupling initiate oscillations and then recruit neighboring tissue, in a manner well described by a combination of Stochastic Resonance and Coherence Resonance. We develop a novel statistical method to quantify recruitment using several measures of network synchrony. This measurement demonstrates that oscillations spread via preexisting network connections such as interneuronal connections, recurrent synapses, and gap junctions, provided that neighboring cells also receive sufficient inputs in the form of random synaptic noise. ..."
Reference:
1 . Stacey WC, Krieger A, Litt B (2011) Network recruitment to coherent oscillations in a hippocampal computer model. J Neurophysiol 105:1464-81 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s): Hippocampus CA1 pyramidal GLU cell; Hippocampus CA3 pyramidal GLU cell; Hippocampus CA1 interneuron oriens alveus GABA cell; Hippocampus CA1 basket cell;
Channel(s): I Na,t; I A; I K; I h;
Gap Junctions: Gap junctions;
Receptor(s): GabaA; AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Oscillations;
Implementer(s): Lazarewicz, Maciej [mlazarew at gmu.edu]; Stacey, William [wstacey at med.umich.edu];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; Hippocampus CA3 pyramidal GLU cell; Hippocampus CA1 interneuron oriens alveus GABA cell; GabaA; AMPA; NMDA; I Na,t; I A; I K; I h;
function tricolorspikeraster(spikefile)

%this function takes a spikeraster matrix "spikefile" and plots the raster
%with the Driver pyramidal cells blue, Neighbor pyr black, and baskets red


index=(spikefile(:,2)>80);   %index of baskets and neighbors
bindex=(spikefile(:,2)>100);  %index of basket cells
nindex=~index;  %not index is all 80 and below
neighborindex=((spikefile(:,2)>80) & (spikefile(:,2)<101)) ;
%scatter(spikefile(index,1),spikefile(index,2),3,'k','.')
scatter(spikefile(neighborindex,1),spikefile(neighborindex,2),3,'k','.')
hold on
scatter(spikefile(nindex,1),spikefile(nindex,2),3,'b','.')
scatter(spikefile(bindex,1),spikefile(bindex,2),3,'r','.')   %overdraws the baskets from index, if neighborindex is not used
hold off
end

% for splitting by halves- index=rem(spikefile(:,2),2);
% workingindex=index==1;
%scatter(spikefile(workingindex,1),spikefile(workingindex,2));

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