Cros Model

Research literature offered an example of a model that could show self organized criticality.

Connectivity


The model consists of a balance of excitatory and inhibitory neurons ordered in a 50x50 grid (for a total population of 2500 neurons). Each neuron connects with a certain probability (adjustable parameter) to a max of 48 other neurons in a Moore neighbourhood of side 7. Cells closer to the neuron of interest are more likely to be connected with the neuron. The goal of such topology is to generate areas with higher connectivity than others thus favouring hierarchical modular structure which, it has been shown, enhances the robustness of self-organized criticality in neural networks. In the model, individual neurons were modeled according to LIF. A parameter study has been carried out to evaluate the contribution of different synaptic weights for different synapses.