Neural model of frog ventilatory rhythmogenesis (Horcholle-Bossavit and Quenet 2009)

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Accession:123987
"In the adult frog respiratory system, periods of rhythmic movements of the buccal floor are interspersed by lung ventilation episodes. The ventilatory activity results from the interaction of two hypothesized oscillators in the brainstem. Here, we model these oscillators with two coupled neural networks, whose co-activation results in the emergence of new dynamics. .. The biological interest of this formal model is illustrated by the persistence of the relevant dynamical features when perturbations are introduced in the model, i.e. dynamic noises and architecture modifications. The implementation of the networks with clock-driven continuous time neurones provides simulations with physiological time scales."
Reference:
1 . Horcholle-Bossavit G, Quenet B (2009) Neural model of frog ventilatory rhythmogenesis. Biosystems 97:35-43 [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:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s): Temporal Pattern Generation; Oscillations; Synchronization;
Implementer(s):
function matpara=bouclpara(Spre, Rpre, npara)


%cette fonction permet de construire des matrices de nboucles, la première
%boucle étant définie par matdep, avec les vecteur premf et premb qui sont
%des vecteurs d'une ligne deux colonnes, les premiers maillons de l'association des boucle, maillon forward et
%maillon backward, valf et valb étant respectivmeent les valeurs de ces
%liens. Rdep est un vecteur colonne

matrep=Spre(1:end,1:end);
matinter=matrep;
taille=size(matrep,1);
compr=Rpre;
for i=1:npara-1
    matinter=[matinter,zeros(size(matinter,1),size(matrep,2)); zeros(size(matrep,1),size(matinter,2)),matrep];
    compr=[compr;Rpre(1:end)];
end
matpara=[matinter,compr];