Neural representation of object-specific attentional priority

NeuroImage
Taosheng Liu

Abstract

Humans can flexibly select locations, features, or objects in a visual scene for prioritized processing. Although it is relatively straightforward to manipulate location- and feature-based attention, it is difficult to isolate object-based selection. Because objects are always composed of features, studies of object-based selection can often be interpreted as the selection of a combination of locations and features. Here we examined the neural representation of attentional priority in a paradigm that isolated object-based selection. Participants viewed two superimposed gratings that continuously changed their color, orientation, and spatial frequency, such that the gratings traversed the same exact feature values within a trial. Participants were cued at the beginning of each trial to attend to one or the other grating to detect a brief luminance increment, while their brain activity was measured with fMRI. Using multi-voxel pattern analysis, we were able to decode the attended grating in a set of frontoparietal areas, including anterior intraparietal sulcus (IPS), frontal eye field (FEF), and inferior frontal junction (IFJ). Thus, a perceptually varying object can be represented by patterned neural activity in these frontopari...Continue Reading

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Citations

Nov 27, 2016·NeuroImage·Peiying LiuHanzhang Lu
Mar 16, 2017·Journal of Cognitive Neuroscience·Gavin K Hanson, Evangelia G Chrysikou
Jun 8, 2018·Journal of Cognitive Neuroscience·Apoorva BhandariDavid Badre
Mar 1, 2019·Scientific Reports·Giorgio Marinato, Daniel Baldauf
Nov 14, 2019·Brain Sciences·Andrea Orlandi, Alice Mado Proverbio
Oct 1, 2020·Cortex; a Journal Devoted to the Study of the Nervous System and Behavior·Paola MengottiSimone Vossel
Aug 25, 2021·Journal of Cognitive Neuroscience·Abhijit RajanMingzhou Ding

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