Visual attention is an essential and critical mechanism that allows humans to select the most relevant visual information of potential interest to focus on certain aspects of the environment. There are several proposals to model visual attention. However, those models only describe behaviors in simple tasks like free visualization. In more complex tasks such as visual search, it requires attention processes to guide behavior. Attentional control provides these mechanisms. Through which, top-down (goal-directed) information is represented and configured according to the various constraints and dynamics of task processing. In this article, we describe a task-dependent approach to model attentional top-down control based on neuroscience. We present a general conceptual model of visual attention. We describe its three main components and their relationship with other cognitive functions. Also, we show more detailed information about the flow of information that our model follows using a simple guided search case study. Our proposal intends to be the basis to treat top-down attentional information in a broader cognitive architecture. We find that the existence of IPS templates provide a general and biologically inspired representation for relevant objects. Our results show that the proposed model is significantly more consistent and explanatory in information processing compared to other state-of-the-art models.