Network models of frequency modulated sweep detection (Skorheim et al. 2014)

 Download zip file 
Help downloading and running models
Accession:168407
"Frequency modulated (FM) sweeps are common in species-specific vocalizations, including human speech. Auditory neurons selective for the direction and rate of frequency change in FM sweeps are present across species, but the synaptic mechanisms underlying such selectivity are only beginning to be understood. Even less is known about mechanisms of experience-dependent changes in FM sweep selectivity. We present three network models of synaptic mechanisms of FM sweep direction and rate selectivity that explains experimental data ... "
Reference:
1 . Skorheim S, Razak K, Bazhenov M (2014) Network models of frequency modulated sweep detection. PLoS One 9:e115196 [PubMed]
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): Audition;
Implementer(s):
target=3;
tiltcheck(aeon)=0;
insum=0;
for z =1:4
    for y=1:scale{z}(1)
        for x=1:scale{z}(2)
            for n =1:maxoutputs
                if connex{z,y,x,n}(1)==3
                    insum=insum+connex{z,y,x,n}(5);
                end
            end
        end
    end
end
insum=insum/(y*fanini);
for z =1:4
    for y=1:scale{z}(1)
        for x=1:scale{z}(2)
            for n =1:maxoutputs
                if connex{z,y,x,n}(1)==3 && x~=3
                    tiltcheck(aeon)=tiltcheck(aeon)+(connex{z,y,x,n}(5)-insum)*(x-3);
                end
            end
        end
    end
end

tiltcheck(aeon)=tiltcheck(aeon)/(4*y)

Loading data, please wait...