Classifying Neurons by Neuronal Activity

In the continuation of my spatial encoding work, I expanded on circular neural networks by simulating 50 interconnected neurons arranged in a ring. Using Euler approximation, I generated firing rate graphs and explored how inhibition levels affect network stability. By gradually increasing the inhibition parameter, I showed how runaway excitation could be controlled and eventually nullified, even under extreme current injection. The conclusion was that proper balance of inhibition is critical for stabilizing neural networks and preventing uncontrolled activity.