Spiny neuron model with dopamine-induced bistability (Gruber et al 2003)

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Accession:39949
These files implement a model of dopaminergic modulation of voltage-gated currents (called kir2 and caL in the original paper). See spinycell.html for details of usage and implementation. For questions about this implementation, contact Ted Carnevale (ted.carnevale@yale.edu)
Reference:
1 . Gruber AJ, Solla SA, Surmeier DJ, Houk JC (2003) Modulation of striatal single units by expected reward: a spiny neuron model displaying dopamine-induced bistability. J Neurophysiol 90:1095-114 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Neostriatum medium spiny direct pathway GABA cell;
Channel(s): I K,leak; I h; I A, slow;
Gap Junctions:
Receptor(s): D1; Dopaminergic Receptor;
Gene(s): Cav1.3 CACNA1D; D1 DRD1A;
Transmitter(s): Dopamine;
Simulation Environment: NEURON;
Model Concept(s): Intrinsic plasticity;
Implementer(s): Carnevale, Ted [Ted.Carnevale at Yale.edu];
Search NeuronDB for information about:  Neostriatum medium spiny direct pathway GABA cell; D1; Dopaminergic Receptor; I K,leak; I h; I A, slow; Dopamine; 
/*
NetCon precell target      weight
  0    Bkgd1   C0.ExpSyn0  1.05e-5
  1    Stim2   C0.ExpSyn0  2.4e-6 (weak) or 3.8e-6 (strong)
  2    Stop3   Stim2       -2
  3    Reward4 C0.DASyn1   0.4

NETGUI      Instance
 name        name
C0          C_Cell[0]
Bkgd1       Bkgd_NetStim[0]
Stim2       Stim_NetStim[0]
Stop3       Stop_NetStim[0]
Reward4     Reward_NetStim[0]

C0_ExpSyn0  ExpSyn[0]
C0_DAsyn1   DAsyn[0]
*/

objref hbox
hbox = new HBox()
hbox.intercept(1)
  xpanel("")
    xlabel("Cortical input")
    xradiobutton("strong", "NetCon[1].weight = 3.8e-6")
    xradiobutton("weak", "NetCon[1].weight = 2.4e-6")
    xlabel("default is weak")
  xpanel()
  xpanel("")
    xlabel("Target")
    xradiobutton("rewarded", "Reward_NetStim[0].pp.start = 500")
    xradiobutton("unrewarded", "Reward_NetStim[0].pp.start = 1e9")
    xlabel("default is unrewarded")
  xpanel()
hbox.intercept(0)  //ends intercept mode
hbox.map("Experimental conditions", 780, 22, 249.6, 106.56) //draw the box and its contents

// default condition:
NetCon[1].weight = 2.4e-6  // weak cortical input
Reward_NetStim[0].pp.start = 1e9  // unrewarded

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