Excitability of DA neurons and their regulation by synaptic input (Morozova et al. 2016a, 2016b)

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This code contains conductance-based models of Dopaminergic (DA) and GABAergic neurons, used in Morozova et al 2016 PLOS Computational Biology paper in order to study the type of excitability of the DA neurons and how it is influenced by the intrinsic and synaptic currents. We identified the type of excitability by calculating bifurcation diagrams and F-I curves using XPP file. This model was also used in Morozova et al 2016 J. Neurophysiology paper in order to study the effect of synchronization in GABAergic inputs on the firing dynamics of the DA neuron.
1 . Morozova EO, Myroshnychenko M, Zakharov D, di Volo M, Gutkin B, Lapish CC, Kuznetsov A (2016) Contribution of synchronized GABAergic neurons to dopaminergic neuron firing and bursting. J Neurophysiol 116:1900-1923 [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): Substantia nigra pars compacta DA cell; Ventral tegmental area dopamine neuron; Ventral tegmental area GABA neuron ;
Channel(s): I K,Ca; I Calcium; I Na,t; I Potassium;
Gap Junctions:
Receptor(s): GabaA; NMDA; AMPA;
Transmitter(s): Gaba; Glutamate; Dopamine;
Simulation Environment: MATLAB; XPP;
Model Concept(s): Action Potentials; Bifurcation; Bursting; Synaptic Convergence;
Implementer(s): Morozova, Ekaterina O [emorozov at indiana.edu]; Kuznetsov, Alexey ;
Search NeuronDB for information about:  Substantia nigra pars compacta DA cell; GabaA; AMPA; NMDA; I Na,t; I K,Ca; I Calcium; I Potassium; Dopamine; Gaba; Glutamate;
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