Studing the Emotional Behaviour Using A Orbitocortical-Amygdalo Computational Model

In this work, we build a model that mimics the cortico-amygdalo neuronal connections and studied their behavior. We started from the single neuron model of Izhikevich, going through the modeling of neuronal tissues the cortical layers and its connections to the amygdala. We chose Izhikevich's model because of its simplicity and its ability to produce rich firing patterns just like the real biological neurons. This work has managed to simulate the effects of sadness and happiness of the human brain cortex by the aid of specialized computational in Python program language and its package, BRIAN simulator.