The model code as described in "A neural mass model based on single cell dynamics to model pathophysiology, Zandt et al. 2014, Journal of Computational Neuroscience" A Neural mass model (NMM) derived from single cell dynamics in a bottom up approach. Mean and standard deviation of the firing rates in the populations are calculated. The sigmoid is derived from the single cell FI-curve, allowing for easy implementation of pathological conditions. NMM is compared with a detailed spiking network model consisting of HH neurons. NMM code in Matlab. The network model is simulated using Norns (ModelDB # 154739)
Model Type: Realistic Network; Neural mass
Cell Type(s): Hodgkin-Huxley neuron
Model Concept(s): Simplified Models; Methods; Pathophysiology; Connectivity matrix; Brain Rhythms
Simulation Environment: C or C++ program; MATLAB; Brian; Python; Norns - Neural Net Studio
Implementer(s): Zandt, Bas-Jan [Bas-Jan.Zandt at biomed.uib.no]
References:
Zandt BJ, Visser S, van Putten MJ, Ten Haken B. (2014). A neural mass model based on single cell dynamics to model pathophysiology. Journal of computational neuroscience. 37 [PubMed]