Neural mass model of the sleeping cortex (Weigenand et al 2014)

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Accession:226472
Generates typical EEG data of sleeping Humans for sleep stages N2/N3 as well as wakefulness
Reference:
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]
Model Information (Click on a link to find other models with that property)
Model Type: Neural mass;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex V1 L2/6 pyramidal intratelencephalic GLU cell; Neocortex layer 2-3 interneuron;
Channel(s): I_K,Na; Na/K pump;
Gap Junctions:
Receptor(s): AMPA; Gaba;
Gene(s):
Transmitter(s):
Simulation Environment: C or C++ program (web link to model); MATLAB;
Model Concept(s): Bifurcation; Sleep; Activity Patterns;
Implementer(s): Schellenberger Costa, Michael [mschellenbergercosta at gmail.com];
Search NeuronDB for information about:  Neocortex V1 L2/6 pyramidal intratelencephalic GLU cell; AMPA; Gaba; I_K,Na; Na/K pump;
# NM_Cortex

This repository contains the reference implementation of the model proposed in Weigenand and Schellenberger Costa et al. 2014, 
available here http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003923

For convenience we utilize MATLAB for data processing and plotting. Therefore the simulation comes with an additional source-file
Cortex_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 Create_Data() function within MATLAB, assuming the mex interface is setup.

Afterwards simply run the respective plot functions for the different figures. Please note that due to the stochastic nature of the
simulation the time series will differ.

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