Vincent, B. T. (2015) A tutorial on Bayesian models of perception, Journal of Mathematical Psychology, 66:103–114.
I am very happy to announce my new tutorial review paper. Vincent, B. T. (2015) Bayesian accounts of covert selective attention: a tutorial review, Attention, Perception, & Psychophysics, 77(4), 1013-1032. If you do not have an institutional subscription to Attention, Perception, & Psychophysics, Springer allow me to self-archive my author-accepted manuscript (legal). Get the preprints here: [manuscript pdf], [supplementary pdf]. The final publication […]
When we conduct visual search for an item of interest we can not only ask ‘what looks like my target’ but we can also ask ‘where do I expect the target to be?’ In a forthcoming paper in the journal Vision Research I asked: how do we use our past experience to construct predictions of where a […]
If we want to try to locate a target of interest given a brief glimpse of a visual scene, then we can use at least two sources of information. Firstly, we can use any visual cues which give away the target’s location. However, in many cases the visual cues are insufficient to work out precisely […]
The yes/no detection task is a classic method used to probe the inner workings of how humans process information. In this paper I was interested in one quite specific experimental phenomenon of visual information processing: that of search asymmetries. If you search for an item A amongst distracters B, then you will have some level […]
Abstract When attempting to understand where people look during scene perception, researchers typically focus on the relative contributions of low- and high-level cues. Computational models of the contribution of low-level features to fixation selection, with modifications to incorporate top-down sources of information have been abundant in recent research. However, we are still some way from […]
One of the broad aims of my work is to apply the approach of Bayesian Decision Theory to attentional phenomena. In this particular paper, published back in 2009, I examined one specific aspect of the approach: the decision rule. Described very succinctly Bayesian Decision Theory consists of two main steps. Firstly, we make an inference about […]