In aeronautics, the notion that cognitive performance is correlated with accident rates raises the importance of implementing more efficient cognitive selection procedures for pilot candidates. The Cambridge Neuropsychological Testing Automated Battery (CANTAB) has established sensitivity to a range of cognitive functions and their neurobiological substrates. The ability of CANTAB to predict success during pilot training courses (notably based on the evaluation of flight performance) will be examined and compared to that of tests currently in use by one of the leading French civil aviation schools (ENAC) for their pilot candidate selection procedures. Ultimately, the goal is to inform the development of an optimized pilot selection tool that taps into the cognitive functions and underlying neural circuitries required for successful piloting activities. Moreover, through the implementation of a dual-task paradigm, this study aims to provide guidelines for future cockpit instrumentation designs better adapted to the human brain, in a further attempt to reduce accident rates
