Multisensory integration in the superior colliculus: a neural network model (Ursino et al. 2009)

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Accession:118261
" ... The model includes three distinct neural areas: two unimodal areas (auditory and visual) are devoted to a topological representation of external stimuli, and communicate via synaptic connections with a third downstream area (in the SC) responsible for multisensory integration. The present simulations show that the model, with a single set of parameters, can mimic various responses to different combinations of external stimuli including the inverse effectiveness, both in terms of multisensory enhancement and contrast, the existence of within- and cross-modality suppression between spatially disparate stimuli, a reduction of network settling time in response to cross-modal stimuli compared with individual stimuli. ..."
Reference:
1 . Ursino M, Cuppini C, Magosso E, Serino A, di Pellegrino G (2009) Multisensory integration in the superior colliculus: a neural network model. J Comput Neurosci 26:55-73 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Superior colliculus;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s): Activity Patterns; Vision; Audition;
Implementer(s):
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Na1=41;
Na2=41;
Ra=cell(Na1,Na2);
A0=1;
sa=2;

la=[1:1:Na1]';
ka=[1:1:Na2];
Riga=ones(1,Na2);  
Cola=ones(Na1,1);  
for i = 1:Na1,
   
    y0a=i;
    for j=1:Na2,
    
    x0a=j;
    D2a=((abs(la-y0a)-sign(double((abs(la-y0a)>(Na1/2))))*Na1).^2)*Riga+Cola*((abs(ka-x0a)-sign(double((abs(ka-x0a)>(Na2/2))))*Na2).^2);   % matrice delle distanze al quadrato FORMA CIRCOLARE
    Ra{i,j}= A0*exp(-D2a/2/sa/sa);
    end
end 
% figure
% imagesc(Ra{40,30})