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):
%Programma di creazione dell'immagine

close all
clc
%immagine visiva

CampiRecettivi_visivo

I=zeros(Nv1,Nv2);
IV=zeros(Nv1,Nv2);
IVc=zeros(Nv1,Nv2);
IV(posizione_v(1),posizione_v(2))=input_v;
I=I+IV;
IVc(posizione_contrasto_v(1),posizione_contrasto_v(2))=input_v_contrasto;
I=I+IVc;

% figure
% imagesc(I)

for i=1:Nv1,
    for j=1:Nv2,
        Uv(i,j)=sum(sum(I.*Rv{i,j}));
    end
end
% figure
%     imagesc(Uv)
input_camporec_visivo=Uv;
   
 
 save immaginevisiva I
 save inputvisivo input_camporec_visivo