Executive functions, such as working memory, are essential cognitives processes for our everyday life activities. When such functions are disrupted due to age-related or pathology-related cognitive decline, life becomes increasingly difficult and isolating. For those reasons, a large amount of studies have used non-invasive brain stimulation (NIBS) to enhance those functions in healthy individuals and neurological population. However, the outcomes have been considerably variable and the neurophysiological mechanisms by which these methods work, or why they sometimes fail, remain largely unknown. We believe that such uncertainty is due to the non-specific nature of the NIBS interventions, as they are not based on a proper understanding of the targeted brain mechanisms. Our work aims at investigating how NIBS interventions can be optimized/personalized, by using stimulation parameters that match functionally relevant brain activity (information-based NIBS). We investigate brain oscillations, which consist in rhythmic fluctuations of brain activity, to show that can be elected as pertinent signal targets for NIBS interventions. Furthermore, we use  the combination of information-based NIBS and longitudinal behavioral intervention (such as cognitive training) to enhance cognitive functions.