Investigation of a moderate cortical model synchronization created using BRIAN simulator

Obtaining computational models for the functioning of the brain gives us a chance to understand the brain functionality thoroughly. This would help the development of better treatments for neurological illnesses and disorders. We created a cortical model using python language using BRIAN simulator. The dynamic connection model has multiple parameters to ensure an accurate simulation. We concentrated on the connection weights and studied their effect on the interactivity and connectivity of the cortical neurons in the same cortical layer and across multiple layers. As synchronization helps us to measure the degree of correlation between two or more neuronal groups, the synchronization between neuronal groups, which are connected across layers are considered.