Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)


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. J Comput Neurosci 37 [PubMed]