Attention control is an important ability, which is achieved by two processes: target selection and distractor suppression. The goal of this project is to shed light on them using behavioral and electro-encephalographic (EEG) methods. To this end, we propose to set up a valid computational model. After this first step, we will devise a series of experiments that will allow us to put to the test the main predictions deriving from this model regarding target selection and distractor suppression. Last, using this validated model, we will use neurofeedback to alter attention control. As such, this project will provide new insights into brain networks that give rise to target selection and distractor suppression. Moreover, it is anticipated that it will have a main impact for current theoretical models of attention in the psychology literature, but also in more applied settings where the training of attention control is sought.