------- Forwarded message -------
From: "ScienceDirect Publication: Vision Research" <>
To:
Cc:
Subject: What and where: A Bayesian inference theory of attention
Date: Fri, 21 May 2010 21:24:35 +0200
Publication year: 2010
Source: Vision Research, In Press, Accepted Manuscript, Available online 20 May 2010
Sharat S., Chikkerur , Thomas, Serre , Cheston, Tan , Tomaso, Poggio
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 physiology. In our approach, the main goal of the visual system is to infer the identity and the position of objects in visual scenes: spatial attention emerges as a strategy to reduce the uncertainty in shape information while feature-based attention reduces the uncertainty in spatial information. Featural and spatial attention...
Source: Vision Research, In Press, Accepted Manuscript, Available online 20 May 2010
Sharat S., Chikkerur , Thomas, Serre , Cheston, Tan , Tomaso, Poggio
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 physiology. In our approach, the main goal of the visual system is to infer the identity and the position of objects in visual scenes: spatial attention emerges as a strategy to reduce the uncertainty in shape information while feature-based attention reduces the uncertainty in spatial information. Featural and spatial attention...
--
Suggested reading by Kathleen
