Brain disorders have debilitating impacts on the quality of life. Most patients with brain disorders don’t respond to any form of treatment. Neuromodulation modalities have been widely used as effective treatments for some brain disorders . Transcranial magnetic or electrical stimulation have been used in many human clinical and neuroscientific investigations as the most commonly used noninvasive brain stimulation methods. However, it has not been demonstrated that these noninvasive brain stimulation methods directly stimulate deep regions of the brain without affecting the overlying cortex. Although deep Brain Stimulation (DBS) with implantable electrodes is an effective treatment for some movement and psychiatric disorders, it is an invasive and high risk method. Noninvasive ‌ deep brain stimulation (NDBS) via temporally interfering electric fields has emerged recently as a noninvasive strategy for electrically stimulating deep regions in the brain . The objective of this study is providing deep insights into the fundamental mechanisms of this strategy and evaluating the potential use of this method for clinical applications. For these reasons, we used of computational analysis and experimental assessments. Based on given stimulation parameters and electrode configurations, analytical and numerical methods are used for computing the electric potential and field distributions generated during NDBS in two cylindrical models of the brain. The proposed optimization algorithm based on artificial neural networks showed significant accuracy in estimating stimulation parameters and also revealed that the shape of the activated area is more controllable by using more electrode pairs. The activated area has been determined through macroscopic and microscopic approaches and the results demonstrated that the activated area in both approaches located only at the deep regions in the models. Frequency analysis of the local field potentials which were recorded from two cortical and deep regions of the rats brain, before at and after applying two second stimulation, demonstrated that the highest power increase has been occurred at the frequency equal to the difference of the current sources. This power increase was often higher at deep region than cortex. Although NDBS have faced with multiple challenges for clinical applications especially in human subjects, it may overcome the constraint that only superficial structures may be directly affected through noninvasive brain stimulation methods. Keywords: Noninvasive Deep Brain Stimulation, Temporally Interfering Electric Fields, Optimization Algorithm, Axon Modeling