Biophysically Realistic Thalamocortical Neural Mass Model Model: evaluation and simulation of sleep stages
Examensarbete för masterexamen
Engineering mathematics and computational science (MPENM), MSc
For analysing a complex system such as the brain mathematical modeling and simulation are increasingly important tools. This analysis can be performed on scales ranging from the neuron to so called neural mass models simulating whole brain regions. By using the computational framework for whole-brain modeling called Neurolib we have combined its cortical and thalamic models into a single model which we call the thalamocortical model. This model was 12 times faster than the previous Neurolib implementation. Neurolib provides structural data which made it possible to create models with biologically informed connectivity. With this data we created a two-node model (a single thalamic and cortical node) and an 80+1-node model (80 cortical nodes). Through various simulations and analysing both models we found satisfactory points in the parameter space which gave rise to qualitative behaviour associated with both a sleeping brain and an awake brain, the behaviours in question include phenomena such as slow oscillations and sleep spindles.
Computational neuroscience , neural mass models , sleeping stages , thalamocortical model