Simulation Run Details Name: Excitability of DA neurons and their regulation by synaptic input (Morozova et al. 2016a, 2016b) Id: #621d42ba87550e369891bb99
Excitability of DA neurons and their regulation by synaptic input (Morozova et al. 2016a, 2016b)
Project Description
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.
Ekaterina O Morozova
Alexey Kuznetsov
This is the readme for a model of the dopaminergic (DA) and GABAergic
neurons from Morozova et al, 2016 PLOS Computational Biology and
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(4):1900-1923
These model files were contributed by Ekaterina O Morozova.
The model is presented in 2 formats:
In MATLAB format (mainDAneuron.m) with associated built MEX files
and source C codes (DAneuronDB.cpp and DAneuuonGABApopulationDB.cpp).
In XPPAUT format (DAandGABAneurons.ode).
mainDAneuron.m is the main program, which produces voltage and Ca
traces of the DA neuron under different conditions, phase planes
and reproduces part of figure 2 from the paper:
This code contains complied MEX files for 64-bit system and the source
C codes that could be compiled on your platform. We recommended to
compile MEX files on your platform. This can be done by uncommenting
the "mex DAneuronDB.cpp" line (line 3) in the mainDAneuron.m for the
first part of the code and "mex DAneuronGABApopulationDB.cpp" line
(line 59) for the second part of the code (requires MEX compiler
installed within MATLAB).
DAneuronDB.cpp is a C code for calculating DA neuron voltage and Ca
oscillations.
DAneuronGABApopulationDB.cpp is a C code for calculating DA and GABA
neurons voltages,as well as Ca, GABA and Glu synaptic variables.
These files could be modified, for example to get more outputs of the
model, such as currents or gating variables.
Glu_raster.m is a functions that simulates Glu inputs as Poisson
processes.
DAandGABAneurons.ode is XPPAUT code for calculating DA and GABA
neurons voltages, etc and producing bifurcation diagrams.
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Project
Download File
Open Modeling and Exchange (OMEX)
DAandGABAneurons.ode
XPP
DAandGABAneurons.sedml
Simulation Experiment Description Markup Language (SED-ML)
DAneuronDB.cpp
C++ source
DAneuronDB.mexa64
Other format
DAneuronDB.mexmaci64
DAneuronDB.mexw64
DAneuronGABApopulationDB.cpp
DAneuronGABApopulationDB.mexa64
DAneuronGABApopulationDB.mexmaci64
DAneuronGABApopulationDB.mexw64
Glu_raster.m
MATLAB
mainDAneuron.m
metadata.rdf
OMEX Metadata
Readme.html
Hypertext Markup Language (HTML)
screenshot1.png
Portable Network Graphics (PNG)
screenshot2.png
screenshot3.png
Outputs
JavaScript Object Notation (JSON) in BioSimulators simulator schema
Zip of HDF5 and PDF files
Log
JavaScript Object Notation (JSON) in BioSimulators log schema