The β0β0 and β2β2 coefficients http://www.selleckchem.com/products/Dasatinib.html measure the response bias and slope, respectively. The β1β1 coefficient measures the effect of microstimulation on the monkey’s response bias. The shift of the psychometric function due to microstimulation was formalized as β1/β2β1/β2. This model, in which the effect of microstimulation was modeled solely as a horizontal shift or bias, was used throughout

all analyses in the main manuscript. However, we obtained very similar results when fitting a logistic model that allowed for microstimulation-induced slope changes. For this reason, we added (β3·x·I)(β3·x·I) to the linear exponent and fitted the model as before. The latter extended model was also used for plotting purposes (see psychometric functions in Figures 3A and 3B and Figure 4). We thank Inez Puttemans, Piet Kayenbergh, Gerrit Meulemans, Stijn Verstraeten, Marjan Docx, Wouter Depuydt, Vorinostat ic50 Marc De Paep, and Karin Winnepenninckx for assistance. We thank Steve Raiguel for comments on a previous version of this manuscript. B.-E.V. received a postdoctoral fellowship at KU Leuven (Research Fund K.U. Leuven; PDMK/10/217). This work was supported by Fonds Wetenschappelijk Onderzoek grant G.0495.05N and G.0713.09, Geneeskundige Stichting Koningin Elisabeth, Interuniversitaire Attractiepolen, Geconcerteerde OnderzoeksActies

2005/18 and 2010/19, Excellentiefinanciering 05/014 and Programmafinanciering 10/008. “
“Because neural resources are severely limited, only a very small fraction of visual inputs can reach all the way to perception. One of the main mechanisms of selection involves directing attention to a visual location, either overtly or covertly, without a shift in gaze. Attention may either be directed under voluntary control according to top-down

goals, such as when directing gaze to Sclareol an interesting book, or be attracted automatically by bottom-up stimuli, such as when the sudden appearance of a cat distracts one from reading. Throughout this study, we use the term salience to refer to this bottom-up attraction of exogenous attention. The regions of the brain responsible for top-down selection are well known, and include the frontal eye fields (FEF), dorsomedial prefrontal cortex, and posterior parietal cortex (PPC) (Corbetta and Shulman, 2002, Kastner and Ungerleider, 2000 and Serences and Yantis, 2006). However, although bottom-up selection is typically faster and more potent (Jonides, 1981 and Nakayama and Mackeben, 1989), there are controversies concerning the brain regions involved. It is generally thought that the brain constructs a saliency map of visual space, with the activity at a location explicitly reporting the strength of its bottom-up attentional attraction (Koch and Ullman, 1985) so that it can be directly read out to guide attentional shifts before and after combining with top-down control factors.