Neural mass model of spindle generation in the isolated thalamus (Schellenberger Costa et al. 2016)

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Accession:226473
The model generates different oscillatory patterns in the thalamus, including delta and spindle band oscillations.
References:
1 . Weigenand A, Schellenberger Costa M, Ngo HV, Claussen JC, Martinetz T (2014) Characterization of K-complexes and slow wave activity in a neural mass model. PLoS Comput Biol 10:e1003923 [PubMed]
2 . Schellenberger Costa M, Weigenand A, Ngo HV, Marshall L, Born J, Martinetz T, Claussen JC (2016) A Thalamocortical Neural Mass Model of the EEG during NREM Sleep and Its Response to Auditory Stimulation. PLoS Comput Biol 12:e1005022 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neural mass;
Brain Region(s)/Organism: Thalamus;
Cell Type(s): Thalamus reticular nucleus GABA cell; Thalamus geniculate nucleus/lateral principal GLU cell;
Channel(s): I K,Ca; I Calcium;
Gap Junctions:
Receptor(s): Gaba; AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: Network; C or C++ program (web link to model); MATLAB (web link to model);
Model Concept(s): Calcium dynamics; Sleep; Activity Patterns; Oscillations; Bifurcation; Spindles; Audition;
Implementer(s): Schellenberger Costa, Michael [mschellenbergercosta at gmail.com];
Search NeuronDB for information about:  Thalamus geniculate nucleus/lateral principal GLU cell; Thalamus reticular nucleus GABA cell; AMPA; NMDA; Gaba; I K,Ca; I Calcium;
# NM_Thalamus
This repository contains the reference implementation of the model proposed in Schellenberger Costa and Weigenand et al. 2016, 
available here http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005022

For convenience we utilize MATLAB for data processing and plotting. Therefore the simulation comes with an additional 
source-file Thalamus_mex.cpp that can be compiled within MATLAB to utilize their C++-mex interface. 

The easiest way to reproduce the figures in the paper is to simply run the Data_Thalamus() function in the "Figures" folder within 
MATLAB, assuming the mex interface is set up. Afterwards simply run the respective plot functions for the different figures. 

Additionaly the figures folder provides the Thalamus.ode file, that defines the model for the bifurcation analysis in xppaut.

Please note that due to the stochastic nature of the simulation the time series will differ.

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