L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013)

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Accession:155057
Using a heavily constrained biophysical model of a L5 PFC microcircuit we investigate the mechanisms that underlie persistent activity emergence (ON) and termination (OFF) and search for the minimum network size required for expressing these states within physiological regimes.
References:
1 . Papoutsi A, Sidiropoulou K, Cutsuridis V, Poirazi P (2013) Induction and modulation of persistent activity in a layer V PFC microcircuit model. Front Neural Circuits 7:161 [PubMed]
2 . Papoutsi A, Sidiropoulou K, Poirazi P (2014) Dendritic nonlinearities reduce network size requirements and mediate ON and OFF states of persistent activity in a PFC microcircuit model. PLoS Comput Biol 10:e1003764 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Dendrite; Connectionist Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex V1 L6 pyramidal corticothalamic cell;
Channel(s): I Na,p; I Na,t; I L high threshold; I A; I CAN; I Potassium; I R; I_AHP;
Gap Junctions:
Receptor(s): GabaA; GabaB; AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Active Dendrites; Working memory;
Implementer(s): Papoutsi, Athanasia [athpapoutsi at gmail.com];
Search NeuronDB for information about:  Neocortex V1 L6 pyramidal corticothalamic cell; GabaA; GabaB; AMPA; NMDA; I Na,p; I Na,t; I L high threshold; I A; I CAN; I Potassium; I R; I_AHP;
// This function creates a new graphical display and allows printing
// of graphs to eps files.
// edited by Yiota Poirazi, July 2001, poirazi@LNC.usc.edu

objref win[200]
ngraph = 0

proc addgraph() {       // define subroutine to add a new graph
                        // addgraph("variable", minvalue, maxvalue)
        ngraph = ngraph+1
        windex = ngraph-1
        win[windex] = new Graph()
        win[windex].size(0,tstop,$2,$3)
//      win[windex].view(0,$2,tstop,$3-$2,0,0,600,100)  // only for printing
        win[windex].xaxis()
        win[windex].yaxis()
        win[windex].label(0.1,1.0)
        win[windex].addvar($s1,1,0)
        win[windex].save_name("graphList[0].")
        graphList[0].append(win[windex])
}

proc addgraph_and_soma() {      // define subroutine to add a new graph
                                // addgraph("variable", minvalue, maxvalue)
        ngraph = ngraph+1
        windex = ngraph-1
        win[windex] = new Graph()
        win[windex].size(0,tstop,$2,$3)
//      win[windex].view(0,$2,tstop,$3-$2,0,0,600,100)  // only for printing
        win[windex].xaxis()
        win[windex].yaxis()
        win[windex].label(0.1,1.0)
        win[windex].addvar($s1,5,0)
        win[windex].addvar("soma.v(0.5)",1,0)
        win[windex].save_name("graphList[0].")
        graphList[0].append(win[windex])
}


if(ismenu==0) {
  nrnmainmenu()                 // create main menu
  nrncontrolmenu()              // crate control menu
  ismenu=1
}
proc addgraph_2() {             // define subroutine to add a new graph
                                // addgraph("variable", minvalue, maxvalue)
        ngraph = ngraph+1
        windex = ngraph-1
        win[windex] = new Graph()
        win[windex].size($2,$3,$4,$5)
//      win[windex].view(0,$2,tstop,$3-$2,0,0,600,100)  // only for printing
        win[windex].xaxis()
        win[windex].yaxis()
        win[windex].label(0.1,1.0)
        win[windex].addvar($s1,1,0)
        win[windex].save_name("graphList[0].")
        graphList[0].append(win[windex])
}


proc graph_label() {             // define subroutine to re-label a graph
                                 // graph_label("variable", minvalue, maxvalue)
        win[windex].erase_all()                        
        win[windex].size($2,$3,$4,$5)
        win[windex].xaxis()
        win[windex].yaxis()
        win[windex].label(0.1,1)
        win[windex].addvar($s1,1,0)

}

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