A data-driven approach to stimulus selection reveals an image-based representation of objects in high-level visual areas.

ABSTRACT: The ventral visual pathway is directly involved in the perception and recognition of objects. However, the extent to which the neural representation of objects in this region reflects low-level or high-level properties remains unresolved. A problem in resolving this issue is that only a small proportion of the objects experienced during natural viewing can be shown during a typical experiment. This can lead to an uneven sampling of objects that biases our understanding of how they are represented. To address this issue, we developed a data-driven approach to stimulus selection that involved describing a large number objects in terms of their image properties. In the first experiment, clusters of objects were evenly selected from this multi-dimensional image space. Although the clusters did

SUBMITTER: Coggan DD 

PROVIDER: S-EPMC6865484 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature