Team Drumpf Wikia



Welcome to the Team Drumpf Wikia
We are Maria Ardavani, Davide Quintarelli and Tobias Huisman and this is our wiki page about of Complex Systems Simulations project!

Our Project
For our project we looked at the criticality of neuronal networks. In special, the criticality of the neuronal network of C. Elegans. We will take you through our project by starting with an introduction of neuronal networks and then we'll move on the models we explored.

Introduction
Dynamical systems that have a critical point as an attractor are called Self-Organized Criticality. Neural networks seem to have this property as well. The events in systems that are self-organized critical follow a power law distribution. For estimating the long-range temporal correlations of the power-law form of neural avalanches we used Detrended Fluctuation Analysis.

C. Elegans
Based on the topology of the C. Elegans, a non-parasitic organism with as few as 300 total neurons but accompanied with significant complexity, we create a leaky integrate-and-fire model in order to observe possible critical states.

CROS Model
In order to achieve criticality, we implemented a model according to literature. The main feature is represented by the hierarchical topology of the connected neurons.





