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):
%% SHIFT
% The simulated normalized activity of a superior colliculus
% Neuron (SCN) evoked by an input whose application point shifts
% through the receptive field.
% Visual input      -> red line
% Auditory input    -> green line
% Cross-modal input -> blue line

clear

figure

load SHIFT_multis_I22_LuDeboli_LmForti
load SHIFT_unim_Iv22_LuDeboli_LmForti
load SHIFT_unim_Ia22_LuDeboli_LmForti
distanza_deg=distanza*2.25;
plot(distanza_deg,xm_m_shift_regime_I22,'b',distanza_deg,xm_u_shift_regime_Iv22,'r',distanza_deg,xm_u_shift_regime_Ia22,'g')
title('SHIFT');
xlabel('Relative position in deg in the RF')
ylabel('SCN normalized activity')