| Paper: | PS-2A.41 |
| Session: | Poster Session 2A |
| Location: | Symphony/Overture |
| Session Time: | Friday, September 7, 17:15 - 19:15 |
| Presentation Time: | Friday, September 7, 17:15 - 19:15 |
| Presentation: |
Poster
|
| Publication: |
2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania |
| Paper Title: |
How are the statistics of object co-occurrence represented in human visual cortex? |
| Manuscript: |
Click here to view manuscript |
| DOI: |
https://doi.org/10.32470/CCN.2018.1193-0 |
| Authors: |
Michael Bonner, Russell Epstein, University of Pennsylvania, United States |
| Abstract: |
We set out to identify cortical representations of contextual associations between objects. First we used a large database of densely labeled images to model the natural statistics of object co-occurrence. We then applied this co-occurrence model to fMRI data collected while subjects viewed images of isolated, individual objects. Using voxelwise encoding models, we tested whether object co-occurrence statistics could be used to predict the stimulus-evoked responses of visual cortex. We found that multiple regions of high-level visual cortex reliably encode the statistical associations between objects in their natural contexts, with prominent effects in scene-selective visual regions. |
