@invited{Itti07ecem,
  author = {L. Itti},
  title = {Bottom-up and top-down visual attention in humans and monkeys},
  abstract = {Many tasks require that we direct attention to the most ''relevant'' entities in our visual environment. While much progress has been made in investigating experimentally how humans may operate such goal-based attentional selection, very little is understood of the general mathematical principles and neuro-computational architectures that subserve the observed behavior. I will describe recent computational work which attacks the problem of developing models of visual attentional selection that are more flexible and can be strongly modulated by the task at hand. I will back the proposed architectures up by comparing their predictions to behavioral recordings from humans and monkeys. I will show examples of applications of these models to real-world vision challenges, using complex stimuli from television programs or modern immersive video games.},
  booktitle = {European Conference on Eye Movements (ECEM), Potsdam, Germany},
  month = {Aug},
  year = {2007},
  type = {bu;td;mod}
}