Synthesis of spatial tuning functions from theta cell spike trains (Welday et al., 2011)

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Accession:129067
A single compartment model reproduces the firing rate maps of place, grid, and boundary cells by receiving inhibitory inputs from theta cells. The theta cell spike trains are modulated by the rat's movement velocity in such a way that phase interference among their burst pattern creates spatial envelope function which simulate the firing rate maps.
Reference:
1 . Welday AC, Shlifer IG, Bloom ML, Zhang K, Blair HT (2011) Cosine directional tuning of theta cell burst frequencies: evidence for spatial coding by oscillatory interference. J Neurosci 31:16157-76 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Hippocampus CA1 pyramidal GLU cell; Hippocampus CA3 pyramidal GLU cell; Entorhinal cortex stellate cell;
Channel(s): I Na,p;
Gap Junctions:
Receptor(s): GabaA; AMPA;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON; MATLAB;
Model Concept(s): Synchronization; Envelope synthesis; Grid cell; Place cell/field;
Implementer(s): Blair, Hugh T.;
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; Hippocampus CA3 pyramidal GLU cell; GabaA; AMPA; I Na,p; Gaba; Glutamate;
%This file generates a path plot for NEURON simulation results stored in:
%SPIKEOUT.dat

%Position tracking data is read in from the file:
%trackingdata.mat

spikes=load('-ascii','SPIKEOUT.dat');   %spike times from NEURON simulation
load 'trackingdata.mat';                %position data for path plot
spikes=spikes/1000;
sdex=[];
for i=1:length(spikes)
sdex=[sdex; find(rsTS>spikes(i),1,'first')];
end
figure(2); clf; hold off;
plot(rsX,rsY,'k'); axis square;
hold on;
scatter(rsX(sdex),rsY(sdex),'.r'); axis square;
set(gca,'XLim',[200 600],'YLim',[25 425]);

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