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 medium spiny direct pathway neuron; Neostriatum medium 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 medium spiny direct pathway neuron; Neostriatum medium spiny indirect pathway neuron; D1; D2; GabaA; Glutamate; I Sodium; I Potassium; Kir; Gaba; Glutamate;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This simple function receives a matrix 'spike_times' where each line represents a neuron
% index and each column represents one discrete time step where a spike might have occurred
% or not. If it has a line will be drawn otherwise nothing is done.
%
% Developed by Rodrigo F. Oliveira 2004-2006
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function rasterplot(spike_times)
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[n_neurons, t_spk]=size(spike_times);
cla;
hold on;
        I=1;
        for i=1:n_neurons
            s=1;
            for t_spk=1:t_spk
                %plot([stimes(i,r,s)],[i],'.','MarkerSize',3)    % use for very heavy rasterplots
                line([spike_times(i,t_spk) spike_times(i,t_spk)],[I I+0.95],'LineWidth',0.7,'Color','k')
                s=s+1;
            end
            I=I+1;
        end
set(gca,'XLim',[0 max(max(spike_times))]);
set(gca,'YLim',[1 n_neurons+1]);
title('FS new');
xlabel('Time (s)');
ylabel('Neuron index');
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