The brain activity is a very complex process, which is mainly characterized by the electroencephalogram (EEG). Moreover, there exist many interactions between the brain and other human body systems such as the cardiovascular system. Therefore, to explore these interactions a model was identified based on intelligent modeling tools (fuzzy-ARX). Signals generated from a previous work related to the modeling of the cardiovascular system were used as an input for the proposed model. EEG signals were measured for six male subjects and were used as an output for the proposed model. The model output was validated in both time and frequency domains for each subject. Furthermore, the validation results revealed that there exist good match between the measured EEG signals and the corresponding estimated EEG signals generated from the proposed model for each subject. Moreover, the model could be used as a descriptor for the relationships existed between the brain and the cardiovascular system afferents.