Striatal NN model of MSNs and FSIs investigated effects of dopamine depletion (Damodaran et al 2015)

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Accession:169984
This study investigates the mechanisms that are affected in the striatal network after dopamine depletion and identifies potential therapeutic targets to restore normal activity.
Reference:
1 . Damodaran S, Cressman JR, Jedrzejewski-Szmek Z, Blackwell KT (2015) Desynchronization of Fast-Spiking Interneurons Reduces beta-Band Oscillations and Imbalance in Firing in the Dopamine-Depleted Striatum. J Neurosci 35:1149-59 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell; Axon; Dendrite;
Brain Region(s)/Organism:
Cell Type(s): Neostriatum spiny direct pathway neuron; Neostriatum spiny indirect pathway neuron; Neostriatum fast spiking interneuron;
Channel(s): I Sodium; I Potassium; Kir;
Gap Junctions: Gap junctions;
Receptor(s): D1; D2; GabaA; Glutamate;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: GENESIS;
Model Concept(s): Synchronization; Detailed Neuronal Models; Parkinson's;
Implementer(s): Damodaran, Sriraman [dsriraman at gmail.com];
Search NeuronDB for information about:  Neostriatum spiny direct pathway neuron; Neostriatum spiny indirect pathway neuron; D1; D2; GabaA; Glutamate; I Sodium; I Potassium; Kir; Gaba; Glutamate;
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DamodaranEtAl2015
MScell
channels
unusedChannels
AddCaSpines.g *
addchans.g *
addinput.g *
addoutput.g *
addoutput_old.g *
AddSynapticChannels.g *
connectCaChannels.g *
DA_files.txt *
globals.g
globalsCaComp.g *
include_channels.g *
MScell.p *
MScell_D1.g *
MScell_D1_old.g *
MScell_D2.g *
MScell08.p *
MScell08CM3_D1.p *
MScell08CM3_D2.p *
MScellSpine.g *
MScellSpineCtx.g *
MScellSpineTh.g *
MScellSyn_D1.g *
MScellSyn_D2.g *
parametersA_D1.g *
parametersA_D2.g *
parametersB.g *
parametersC.g *
parametersD.g *
proto.g *
spines.g *
SynParams_D1.g
SynParams_D2.g
SynParamsCtx.g *
SynParamsTh.g *
                            
//addinput.g
//these two functions used to provide random spike synaptic input to neuron

function makeinputpre(rate, path)
    str rate
	str path
    create randomspike {path}/randomspike
    setfield ^ min_amp 1.0 max_amp 1.0 rate {rate} reset 1 reset_value 0	
 end
	
function makeinputpost(pathspike, path) 
	str path
	int msgnum
	addmsg {pathspike} {path} SPIKE
    msgnum = {getfield {path} nsynapses} - 1
    setfield {path} \
    synapse[{msgnum}].weight 1 synapse[{msgnum}].delay 0
end


function stopinput(path)
str path
deletemsg {path} 2 -incoming
end



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