Concluding remarks

Current descriptions of the role of brain oscillations in the execution of complex behavior is a fundamental aspect to understand the role of external sensory modulation to improve the coupling with the world (Varela, 1981; \cite{VanRullen_2005a}, suggesting a biological-tech support for driving performance. This neurophysiological reinforce can be interpreted in terms of a “optimal temporal window” for establishing the best time to deliver the stimulus \cite{Ronconi_2017,Wutz_2018,VanRullen_2005,VanRullen_2005a} Varela 1981, connecting the on coming stimuli with the optimal sensory rhythms. Here, we have proposed that effective sensory entrainment constitutes a novel approach to help perceptual processing during driving performance and explain why we can improve, a least temporality the performance on complex task such driving. Specifically, effective neurophysiological, cognitive, and computing neuroscience studies allow us to hypothesize that the temporal synchrony within a window of visual integration would provide a high temporal resolution, necessary for the stability of perceptual representation, despite the rapid changes in sensory inputs present on complex vial scenarios \cite{wutz2014temporal}. Thus, improve the anticipatory behaviors before the execution of the desired action \cite{Khaliliardali_2012}. Therefore, these are the aspects that must be considered in order to improve the chances of attending for instance to preventive signs within the road environment. Moreover, given the existence of multi sourcing of sensory stimulus processing deficits that affecting the cognitive domains, this approach may be used to test the Bayesian brain hypothesis in order to understand the perception and sensory-motor coupling, on based of human brain deal with incoming sensory information in a probabilistic manner. Dynamic causal models of perceptual-motor coupling based on external modulation of sensory processing may provide an opportunity to achieve “effective” cross-talk between industrial engineering and basic neuroscientists \cite{Kahan_2013}. By means of effective neurophysiological studies, we may be able to understand why drivers with similar sensory systems perform differently (i.e., very well or very badly) during automobile activity.