What and Where: A Bayesian inference theory of visual attention

What and Where: A Bayesian inference theory of visual attention

In the theoretical framework of this paper, attention is part of the inference process that solves the visual recognition problem of what is where. The theory proposes a computational role for attention and leads to a model that predicts some of its main properties at the level of psychophysics and...

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Bibliographic Details
Main Authors: Chikkerur, Sharat (Contributor), Serre, Thomas R. (Contributor), Tan, Cheston (Contributor), Poggio, Tomaso A. (Contributor)
Other Authors: Massachusetts Institute of Technology. Center for Biological & Computational Learning (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), McGovern Institute for Brain Research at MIT (Contributor)
Format: Article
Language:English
Published: Elsevier B.V., 2011-06-22T15:57:31Z.
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