The processes that lead to the selection of information for additional processing, which characterizes attention, depend upon previous experiences and expectancies generated in the light of stored past experiences regularities and plans for action. It is proposed that conceptual association between memory and attention brings advantages for explaining a diversity of attentional phenomena and allow to generate testable predictions relating past experiences and performance in tests for attention. A model is presented relating the trained neural network (memories) and attention during performance of behavioral tasks.
Attention; Memory; Functional modularity; Supervisory attentional system; Working memory; Explicit memory; Implicit memory
