New paper accepted at Psychological Review showing how attention can be framed as an optimization problem to explain information search both within- and across-trials. The manuscript builds on the earlier-developed Adaptive Attention Representation Model (AARM) by enabling attention orientation on a moment-by-moment basis. There are some other interesting ideas such as confirmatory search, coactivation of feature dimensions, and generating expectations about feature occurrence. Check it out!
Model-based Cognitive Neuroscience Lab 