Drosophila T4 neuron (Gruntman et al 2018)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:239435
Passive, multi-compartment conductance-based model of a T4 cell. The model reproduces the neuron's response to moving stimuli via integration of spatially offset fast excitatory and slow inhibitory inputs.
Reference:
1 . Gruntman E, Romani S, Reiser MB (2018) Simple integration of fast excitation and offset, delayed inhibition computes directional selectivity in Drosophila. Nat Neurosci 21:250-257 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism: Drosophila;
Cell Type(s): Fly lobula plate T4 neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Invertebrate;
Implementer(s): Gruntman, Eyal [ gruntmane at janelia.hhmi.org]; Romani, Sandro [ romanis at janelia.hhmi.org];
obfunc create_cond_vec() { localobj condvec, tvec

    tvec = $o1
    t0 = $2 //start
    t1 = $3 //stop
    tr = $4 //first time constant
    td = $5 //second time constant
    amp = $6 //amplitude

    vecsize = tvec.size()
    condvec = new Vector( vecsize , 0 )

    for i=0, vecsize-1 {
        t = tvec.x[i]
        tmp = 0
        if ( t >= t0 && t < t1 ) {
            tmp = (td - exp( (-t + t0)/td )*td + (-1 + exp( (-t + t0)/tr))*tr) / (td - tr)
        }
        if (t >= t1 ) {
            tmp = condvec.x[i] =  -(exp( (-t + t0)/td )*td - exp((-t + t1)/td)*td - exp((-t + t0)/tr)*tr +exp((-t + t1)/tr)*tr)/(td - tr)
        }
        tmp = tmp * amp
        if(tmp<1e-9){
            condvec.x[i] = 1e9
        } else {
            condvec.x[i] = 1/tmp
        }



    }

    return condvec

}

Loading data, please wait...