Binocular energy model set for binocular neurons in optic lobe of praying mantis (Rosner et al 2019)

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Accession:266560
This is a version of the binocular energy model with parameters chosen to reproduce individual cells in praying mantis optic lobe. The receptive fields are very coarsely sampled (6 different horizontal locations only) to match the coarse sampling of the data given very limited recording time.
Reference:
1 . Rosner R, von Hadeln J, Tarawneh G, Read JCA (2019) A neuronal correlate of insect stereopsis. Nat Commun 10:2845 [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: Optic lobe/Praying Mantis;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB; MATLAB (web link to model);
Model Concept(s): Binocular energy model/Stereopsis; Simplified Models;
Implementer(s): Read, Jenny [jenny.read at newcastle.ac.uk];
function PlotModelRFs(model)
barwidth = 12.8; % in deg
barvalue = 1;
barpos = [-32:12.8:32,55];%Ronny change 180320
figure('pos',[403   413   560   253])
subplot(1,2,1)
bar(barpos(1:6),model.RFL.*(model.RFL>0),'g');
hold on
bar(barpos(1:6),model.RFL.*(model.RFL<0),'r');
title(['                  left eye RF               expnt ' num2str(model.outputexponent) ' ; tonic inp. ' num2str(model.tonicinput)])
subplot(1,2,2)
bar(barpos(1:6),model.RFR.*(model.RFR>0),'g');
hold on
bar(barpos(1:6),model.RFR.*(model.RFR<0),'r');
% title(['right eye RF  ton.inp. ' num2str(model.tonicinput) ])
title('                   right eye RF')
for j=1:2
    subplot(1,2,j)
    %plot(xlim,[0 0],'k-')
    %plot(xlim,[1 1]*model.tonicinput,'b-')
    bar(barpos(7),model.tonicinput,'BARWIDTH',12,'FaceColor',[0.5 0.5 0.5],'EdgeColor',[0.5 0.5 0.5]);
%     bar(barpos(7),model.tonicinput);
    xticks(barpos)
    xticklabels({'-32°'; '-19.2°'; '-6.4°' ;'6.4°' ;'19.2°' ;'32°';'tonic'})
    ylim([ min([model.RFL model.RFR model.tonicinput]) max([model.RFL model.RFR model.tonicinput]) ])
    xlim([barpos(1)-13,barpos(end)+13])
end

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