A study on SSVEP-based brain synchronization: Road to brain-to-brain communication

By applying a basic knowledge of brain-computer interfaces and brain stimulation, we introduce a novel architecture for brain-to-brain communication (B2B). Two main issues presented herein are brain synchronization and message modulation. According to our proposed B2B architecture, we assume that the higher the root mean square (RMS) of the voltage across two brains, the easier it is to recognize variations in brain potential states that can be used for communication. By using phase-synchronized alpha waves of multiple subjects via steady-state visually evoked potentials (SSVEP), we demonstrate the feasibility of our proposed B2B architecture as well as a method for maximizing the RMS of brain potentials.