In practice, attention plays an important role for varying conditions--comparable to a spotlight (a zoom lens)--across a visual receptive field, and the spotlight enhances the efficient detection of events within its sensory stream .
This may lead to a more reliable selection regarding available parameters dedicated to the visual receptive field, with the primary goal of estimating a user's interest.
In order to analyze the perceiving mechanism, visual selective attention must be taken into consideration since a visual receptive field is comprised of different visual features that are added together and subsequently used for selection of objects.
The visual receptive field has originally been computed by a machine learning network, called the redial basis function (RBF) to estimate each parameter, which approximated a visual receptive field (e.
In order to compute eye gaze patterns related to a user's interest, a statistical learning algorithm has been incorporated to compute a visual receptive field so as to estimate interest .
The general setting of the problem of statistical learning is to estimate some function, which depends on an unknown distribution in a (probabilistic) visual receptive field, as previously explained.