| Paper: | PS-1B.28 |
| Session: | Poster Session 1B |
| Location: | Symphony/Overture |
| Session Time: | Thursday, September 6, 18:45 - 20:45 |
| Presentation Time: | Thursday, September 6, 18:45 - 20:45 |
| Presentation: |
Poster
|
| Publication: |
2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania |
| Paper Title: |
A variational image reconstruction algorithm reveals distortion and uncertainty in mental imagery |
| Manuscript: |
Click here to view manuscript |
| DOI: |
https://doi.org/10.32470/CCN.2018.1274-0 |
| Authors: |
Thomas Naselaris, Medical University of South Carolina, United States |
| Abstract: |
Subjective reports on mental images may not be consistent with the appearance of seen images (distortion), and may not be consistent with each other (uncertainty). We introduce a method for estimating the distortions and uncertainty associated with mental images from subjective reports. Application of the method to a small preliminary dataset suggests that distortion and uncertainty in mental imagery arise from overscaling and undersampling imagined objects. |
